Next Article in Journal
Combination of Anti-Angiogenics and Checkpoint Inhibitors for Renal Cell Carcinoma: Is the Whole Greater Than the Sum of Its Parts?
Next Article in Special Issue
Glycans as Targets for Drug Delivery in Cancer
Previous Article in Journal
Cancer-on-a-Chip: Models for Studying Metastasis
Previous Article in Special Issue
Expression and Impact of C1GalT1 in Cancer Development and Progression
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Targeting Tumor Glycans for Cancer Therapy: Successes, Limitations, and Perspectives

1
Laboratorio de Glicobiología e Inmunología Tumoral, Institut Pasteur de Montevideo, Montevideo 11400, Uruguay
2
Departamento de Inmunobiología, Facultad de Medicina, Universidad de la República, Montevideo 11800, Uruguay
*
Authors to whom correspondence should be addressed.
Cancers 2022, 14(3), 645; https://doi.org/10.3390/cancers14030645
Submission received: 27 December 2021 / Revised: 17 January 2022 / Accepted: 21 January 2022 / Published: 27 January 2022
(This article belongs to the Special Issue Advances in Tumor Glycans)

Abstract

:

Simple Summary

Aberrant glycosylation is a common feature of many cancers, and it plays crucial roles in tumor development and biology. Cancer progression can be regulated by several physiopathological processes controlled by glycosylation, such as cell–cell adhesion, cell–matrix interaction, epithelial-to-mesenchymal transition, tumor proliferation, invasion, and metastasis. Different mechanisms of aberrant glycosylation lead to the formation of tumor-associated carbohydrate antigens (TACAs), which are suitable for selective cancer targeting, as well as novel antitumor immunotherapy approaches. This review summarizes the strategies developed in cancer immunotherapy targeting TACAs, analyzing molecular and cellular mechanisms and state-of-the-art methods in clinical oncology.

Abstract

Aberrant glycosylation is a hallmark of cancer and can lead to changes that influence tumor behavior. Glycans can serve as a source of novel clinical biomarker developments, providing a set of specific targets for therapeutic intervention. Different mechanisms of aberrant glycosylation lead to the formation of tumor-associated carbohydrate antigens (TACAs) suitable for selective cancer-targeting therapy. The best characterized TACAs are truncated O-glycans (Tn, TF, and sialyl-Tn antigens), gangliosides (GD2, GD3, GM2, GM3, fucosyl-GM1), globo-serie glycans (Globo-H, SSEA-3, SSEA-4), Lewis antigens, and polysialic acid. In this review, we analyze strategies for cancer immunotherapy targeting TACAs, including different antibody developments, the production of vaccines, and the generation of CAR-T cells. Some approaches have been approved for clinical use, such as anti-GD2 antibodies. Moreover, in terms of the antitumor mechanisms against different TACAs, we show results of selected clinical trials, considering the horizons that have opened up as a result of recent developments in technologies used for cancer control.

1. Introduction

As the immunotherapy of cancer is a rapidly evolving field, advances in understanding the basic principles regulating the immune response are crucial. Significant progress in antibody engineering, as well as in adoptive cellular therapies, has determined that immunotherapy is one of the pillars of cancer treatment [1]. Three strategies achieved significant progress in clinical oncology: (A) monoclonal antibody (mAb) production against cancer molecular targets [2]; (B) immune checkpoint inhibitor development [3]; and (C) CAR-T lymphocyte generation [4].
Glycosylation is a complex form of post-translational modification, affecting over 50% of cell proteins and constituting a key regulator of many eukaryotic processes [5]. Aberrant glycosylation is a common feature of many cancers and plays crucial roles during all steps of tumor development [6]. Tumorigenesis and cancer progression can be regulated by glycosylation [7,8], controlling several physiopathological processes, such as cell–cell adhesion, cell–matrix interaction, epithelial-to-mesenchymal transition, tumor proliferation, invasion, metastasis, and angiogenesis [9,10,11]. Glycans can serve as a source for the development of novel clinical biomarkers [6], providing a set of specific targets for therapeutic intervention [8,12]. Different mechanisms of aberrant glycosylation lead to the formation of TACAs suitable for selective tumor targeting therapy [13]. In parallel, TACAs can interact with antigen-presenting cells through their interaction with glycan-binding receptors (such as SIGLECs, MGL, DC-SIGN), thus inducing immunosuppressive signals [14]. Based on these observations, several strategies using glycan-modified nanoparticles have been developed to improve antitumor immune responses [15]. Deeper knowledge of the structural and functional features of TACAs drives rational drug design, as well as novel antitumor immunotherapy strategies.
Aberrant glycosylation in cancer may occur in both glycoproteins and glycolipids. Among the best-characterized TACAs, we found truncated O-glycans (Thomsen-nouveau, Tn; Thomsen-Friedenreich, TF; and sialyl-Tn, STn), gangliosides (GD2, GD3, GM2, GM3, fucosyl-GM1), Globo-serie glycans (Globo-H, SSEA-3, SSEA-4), Lewis antigens, and polysialic acid. For more than twenty years, these TACAs have demonstrated potential usefulness in strategies for cancer immunotherapy [12,16]. In an attempt to classify and select tumor-associated antigens, the National Cancer Institute of the United States performed a comparative analysis following predefined objective criteria according to potential therapeutic effect, expression level, immunogenicity, and percentage of positive cells [17]. A listing of 75 tumor-associated antigens was established, and 9 of them were TACAs. The disialoganglioside GD2 was the best positioned TACA, in 12th place. The rest of the TACAs in the list are as follows: three other gangliosides (GD3, fucosyl-GM1, and GM3), Globo H, polysialic acid, as well as Tn, sialyl Tn, and sialyl-Lewis A (Table 1).
Therapeutic approaches involving TACAs have been diverse and include active immunity induced by vaccines, as well as monoclonal antibodies developed by genetic engineering. More recently, technologically advanced strategies, including bi-specific antibodies and chimeric antigen receptor-T (CAR-T) cells for anti-TACA, have been evaluated. However, as most TACA are poorly immunogenic, inducing of T cells independent immune responses, they must be conjugated to carrier proteins or be chemically modified to induce an effective antitumor immune response [18]. Much research has been conducted for anticancer vaccine development involving TACAs, and four of these studies achieved phase III clinical trials: Theratope® (sTn), GM2-KLH, OPT-822 (Globo H) and Racotumomab® [18]. On the other hand, passive antitumor immunotherapies consist of unconjugated antibodies displaying intrinsic cytolytic activity (antibody-dependent cell-mediated cytotoxicity, ADCC; antibody-dependent cellular phagocytosis, ADCP; complement-dependent cytotoxicity, CDC), antibodies conjugated to radionuclides (radioimmunotherapy), and antibodies conjugated to toxins (immunotoxins) or drugs (ADC). Some examples include antibodies specific to glycolipids (such as GM2, Globo H, and LeY), which can mediate cancer cell killing and tissue destruction by CDC [19], and antibodies recognizing aberrant expression of the O-glycosylated Tn antigen on the surface of cancer cells, inducing ADCC [20]. The use of Dinutuximab, a chimeric anti-GD2 antibody (ch14.18), for high-risk neuroblastoma (NB) treatment is a milestone, being the first new agent targeting a TACA approved by the U.S. Food and Drug Administration (FDA) in 2015 [21]. This review will focus on tumor glycans as targets for cancer therapy using different immunological approaches, considering their stage of progress in clinical trials.

2. Glycosphingolipids

Glycosphingolipids (GSLs) comprise a heterogeneous group of membrane lipids formed by a ceramide backbone covalently linked to a glycan moiety by a β-glycosidic bond [22]. Over 300 different GSLs are synthesized by enzymes localized in the ER and Golgi apparatus, integrating signaling components, assembly of glycosylating machinery and GSL trafficking, although not completely understood to date [23]. GSLs are ubiquitous components of cell membranes and are particularly abundant on the surfaces of animal cells, where they play an important role in molecular signaling, cellular adhesion, and motility [24]. In vertebrate animal tissues, they are subdivided into three major series: globo-, ganglio-, and neolactoseries [22].
The main GLSs characterized as TACAs are Globo H [25], the stage-specific embryonic antigens-3 and -4 (SSEA-3 and SSEA-4) [26], and the glycosphingolipids containing sialic acid such as the gangliosides GD2, GD3, GM2, fucosyl GM1, and Neu5GcGM3 [7]. These GSLs can affect cancer development by controlling cell adhesion, motility, and growth [27], the epithelial–mesenchymal transition and metastatic development [28], as well as drug resistance [29].

2.1. GD2

Thus far, the most relevant TACA concerning its clinical utility in antitumor immunotherapy is the disialylganglioside GD2. It is synthetized uniformly and abundantly in most neuroblastomas, melanomas, and retinoblastomas, as well as in several Ewing’s sarcomas [30], but it is not expressed in normal tissues, except for a weak expression in the brain, peripheral sensory fibers, and skin melanocytes [31]. GD2 promotes tumor cell proliferation, motility, migration, adhesion, invasivity, and confers apoptosis resistance, depending on cancer type [32]. Thus, anti-GD2 mAbs are able to directly induce cellular death without the involvement of immune mechanisms, thus combining apoptosis and necrosis features in tumor cell lines expressing GD2 [33,34]. GD2 is important for cancer cell survival and can suppress T cell activation and dendritic cell maturation when released into circulation [35].
Several anti-GD2 mAbs have been successfully tested in clinical practice, including chimeric 14.18 (ch 14.18) (NCT00026312) [36], humanized 14.18 (hu 14.18) [37], and humanized 3F8 (hu3F8) [38,39]. Passive immunotherapy with the anti-GD2 antibody Dinutuximab (ch14.18) became the first approved immunotherapeutic drug targeting a glycan antigen. Dinutuximab (Unituxin™, United Therapeutics Corporation, Silver Spring, MD, USA) is an IgG1 human/mouse chimeric Ab produced in mouse myeloma cell line SP2/0 [40], approved by the Food and Drug Administration (FDA) in 2015 for high-risk pediatric neuroblastoma treatment in combination with granulocyte-macrophage colony-stimulating factor (GM-CSF), interleukin-2 (IL-2), and 13-cis retinoic acid (RA) [21]. Subsequently, Dinutuximab beta (ch14.18.CHO; Qarziba™, EUSA Pharma, Hemel Hempstead, UK), produced in Chinese hamster ovary (CHO) cells, was approved by the European Commission in 2017 for treatment in high-risk neuroblastoma patients. Both antibodies are currently part of the standard-of-care of neuroblastoma. Regarding immunological mechanisms, Dinutuximab binds to GD2 and induces ADCC as well as CDC and subsequent neuroblastoma cell death by recruiting granulocytes and natural killer cells from peripheral blood mononuclear populations [41,42]. More recently, the FDA granted accelerated approval to humanized mAb Hu3F8 (Naxitamab, DANYELZA®) in combination with GM-CSF for relapsed or refractory high-risk neuroblastoma in the bone or bone marrow, based on overall response rate and duration of response in two clinical trials (NCT03363373 and NCT01757626). Recently, another clinical trial (NCT04560166) began evaluating Naxitamab and GM-CSF in combination with irinotecan and temozolomide for patients with primary refractory high-risk NB or in their first relapse. Table 2 shows selected clinical trials of antibodies targeting TACAs.
In melanoma, the antitumor activity of the hu14.18-IL2 immunocytokine was evaluated in a minimal residual disease setting (NCT00590824), and prolonged tumor-free survival was seen in some treated melanoma patients at risk of recurrence [46]. Toxicity of the radiolabeled 131I-mAb 3F8 intrathecal was first evaluated in refractory neuroblastoma (NCT00450827), and a phase II trial is ongoing to evaluate the radiolabeled antibody for the treatment of central nervous system cancer or leptomeningeal metastasis of several tumors expressing GD2 (NCT00445965).
Currently, several clinical trials are also assessing anti-GD2 treatments in other tumors expressing disialylganglioside. In osteosarcoma, Dinutuximab combined with GM-CSF in recurrent patients to characterize the pharmacokinetics and toxicity (NCT02484443), and Hu3F8 along with GM-CSF in patients in remission, evaluating its effectiveness in preventing recurrence (NCT02502786). In addition to unlabelled anti-GD2 mAbs, other therapeutic approaches include the development of immunocytokines, immunotoxins, antibody–drug conjugates, radiolabeled antibodies, targeted nanoparticles, vaccines, CAR-T cells, as well as bispecific antibodies (BsAbs, antibodies with two binding sites directed at two different antigens [48,60]).
BsAbs targeting GD2 offer great promise in anticancer therapy [61]. Some of these BsAbs combining anti-GD2 with anti-immune cell receptors are the anti-GD2 mAb 7A4/anti-Fc gamma RI (CD64) [62], the murine 5F11-scFv/anti-CD3 [63], the humanized hu3F8-scFv/anti-CD3 [62], and hu3F8/anti-CD3 [64]. This strategy brings the immune cells into close proximity with cancer cells and leads to killing them through perforin/granzyme-mediated, non-MHC-restricted, specific antitumor cytotoxicity. Some of these BsAbs have also shown a powerful antitumor response in neuroblastoma models [62,65] and are currently being evaluated in clinical trials. A phase I/II trial is assessing the toxicity, pharmacokinetics, and antitumor activity of hu3F8-CD3 in relapsed-refractory neuroblastoma, osteosarcoma, and other GD2-expressing solid tumors (NCT03860207), while another multicentric trial is evaluating it in small cell lung cancer (SCLC) (NCT04750239). Recently, a novel strategy using a bispecific-trifunctional antibody (trABs) combining an IgG molecule of both anti-GD2 and anti-CD3 specificity, as well as the innate immunity activation via their functioning Fc-fragment, was able to induce a better antitumor response compared with mAb ch14.18 [66].
GD2, being a “self” antigen, is a poor immunogen and it is difficult to induce a specific anti-GD2 immune response in vivo. With the aim of improving its immunogenicity, GD2 conjugated to the keyhole limpet hemocyanin (KLH) as a carrier protein was assayed with QS-21 or OPT-821 as adjuvants. A bivalent vaccine, containing GD2- and GD3- linked to KLH, with OPT-821 as adjuvant, was first evaluated in high-risk neuroblastoma patients in a phase I trial designed to find the maximally tolerated dose and antibody responses against GD2 and/or GD3. Such a response was observed in 12 of 15 patients, and the disappearance of minimal residual disease (MRD) was documented in 6 of 10 patients [67]; moreover, a larger, phase II trial (NCT00911560) is currently demonstrating robust antibody responses, associating higher anti-GD2-IgG1 titer with improved survival [68]. A trivalent vaccine, containing GM2-GD2- and GD3- also linked to KLH, with OPT-821, was evaluated in patients with metastatic sarcoma, inducing mostly the IgM response, without clinical benefit (NCT01141491). Table 3 shows selected clinical trials of antitumor vaccines based on TACAs.

2.2. GD3

GD3 is another di-sialic ganglioside only synthetized during development and in pathological conditions such as neurodegenerative illnesses [81], as well as in cancers of a neuroectodermal origin [82]. It is also detected in neural stem cells in which it interacts with EGFR to sustain EGF-induced downstream signaling to maintain the self-renewal capability of these cells [83]. ST8SIA1, also known as GD3 synthase (GD3S), is the only enzyme that regulates the biosynthesis of GD3 and GD2. It has been demonstrated that overexpression of GD3 and GD3S in glioblastoma stem cells plays a key role in tumorigenesis by expression of stemness genes and self-renewal potential [84] and the enzyme is frequently overexpressed in other tumors such as breast cancer, melanoma, lung cancer, and hepatocarcinoma, leading to GD3S being proposed as novel drug targets in cancer [85]. GD3 was reported to be a melanoma-associated ganglioside, detected in the majority of human melanoma tissues and cell lines, but not in normal melanocytes [86]. While GD2 and GD3 enhanced cell growth, GD3 might also contribute to cell invasion. Using a real-time adhesion assay in a melanoma cell model, Ohkawa et al. demonstrated that GD3 positive cells exhibited stronger adhesion properties than controls in an extracellular matrix, especially to collagen type I and type IV [87]. Upregulation of GD3 has been associated with melanoma progression, brain metastases, and poor outcomes [88].
GD3 is considered a marker of neuroectoderm origin in tumors, and several mAbs have been developed from mice immunized with the human melanoma cell line SK-MEL-28, e.g., R24 [89]; 2B2, IF4 and MG-21 [90]; K641 [91]. MAb R24 was further characterized as anti-GD3 with reactivity restricted to melanocytes, neuronal and glial cells in the central nervous system, parotid and adrenal cells [92], and it exhibited activation of complement and ADCC in preclinical models [93]. Multiple clinical trials have been conducted using R24 alone or in combination with other drugs, exhibiting variable rates in clinical responses; however, a significant concern was human anti-mouse antibodies’ (HAMA) production [93]. A mouse–human chimeric R24 (chR24) molecule was constructed, but chR24 demonstrated a lower level of binding to GD3 than mouse R24 [94]. In the last three years, a clinical trial phase I for a novel drug conjugated monoclonal antibody (PF-06688992), composed of humanized anti-GD3 huR24 linked to a chemotherapeutic agent, was conducted in stage III-IV melanoma patients (NCT03159117). The purpose of the study was to evaluate the safety and efficacy of this drug that had never before been given to people; results are still forthcoming. Another monoclonal antibody characterized by a high affinity for GD3 is KM641 [91], found to cause in vitro cytotoxicity by both CDC and ADCC. The chimeric version of this antibody (KW2871, ecromeximab) demonstrated, in preclinical and phase I studies, biodistribution, long half-life, and lack of immunogenicity in patients with metastatic melanoma [95]. Other clinical trial confirmed safety and established the maximum tolerated dose of 40 mg/m2 (NCT00199342) [49]. However, a subsequent phase II study in metastatic melanoma conducted by Tarhini et al., combining ecromeximab with high dose of interferon-α2, looking for progression-free survival and response rate, concluded that, although generally well tolerated and with low immunogenicity, the clinical benefit was limited in this combination, suggesting the need to evaluate other strategies (NCT00679289) [50]
Considering vaccine strategies, because GD3 is poorly immunogenic, Chapman and Houghton developed anti-idiotypic mAbs against the well-characterized anti-GD3 mAb R24 and confirmed that BEC2 could mimic GD3 gangliosides and induce anti-GD3 IgG in rabbits [96]. BEC2 was evaluated in melanoma patients, comparing BCG and QS21 as adjuvants [97], and as BEC2/BCG gave better results; thus, it was evaluated further in other cancers. In 1999, Grant et al. evaluated BEC2/BCG as an adjuvant therapy in patients with SCLC who had completed standard therapy and achieved substantially better survival than those observed in a prior group of similar patients (NCT 00037713) [69]. However, two later phase III studies in SCLC patients with limited disease, receiving five vaccinations of BEC2 (2.5mg)/BCG vaccine, failed to demonstrate improvements in survival, progression-free survival, or quality of life in the treated group (NCT00006352; NCT00003279) [70,71].

2.3. Fucosyl-GM1

The ganglioside fucosyl-GM1 (FucGM1) is a tumor-associated antigen strongly detected in a large percentage of human SCLC but absent in most normal adult tissues [98,99]. The restricted normal tissue detection and the overexpression on SCLC suggest that FucGM1 could be an attractive target for both active and passive immunotherapy against this highly aggressive cancer [100]. Vaccination with synthetic fucosyl-GM1-KLH conjugate induces an antibody response against cancer cells expressing fucosyl GM1 and CDC against SCLC cells [101,102]. However, the antibody response is comprised predominantly of low-affinity IgM antibodies, while the IgG response to this vaccine was low (only one of six patients at the highest dose had an IgG antibody titer of 1:80 or greater) [102].
The potential therapeutic effect of the mAbs anti-FucGM1 was established in vivo for the first time in experimental models, demonstrating growth inhibition of SCLC tumors [103] and a rat hepatoma tumor [104]. More recently, a novel non-fucosylated fully human IgG1 antibody (BMS-986012), specific to FucGM1, was developed [105]. BMS-986012 showed high binding affinity for FcγRIIIa (CD16), resulting in enhanced ADCC, as well as CDC and ADCP against FucGM1-expressing tumor cell lines [105]. This mAb induced tumoral regression in a SCLC xenograft model (DMS79). Antitumor activity was enhanced when BMS-986012 was combined with cisplatin or etoposide standard-of-care therapy. These preclinical data support the evaluation of BMS-986012 in a phase I/II clinical trial as first-line therapy in patients with extensive-stage SCLC (NCT02815592). Initial results of another phase I/II study evaluating BMS-986012 alone and in combination with nivolumab in patients with relapsed/refractory SCLC (NCT02247349) demonstrate that this mAb is well tolerated and shows evidence of antitumor activity in some patients [51]. Finally, an ongoing phase II study is evaluating whether BMS-986012 in combination with carboplatin, etoposide, and nivolumab is able to improve overall survival in newly diagnosed extensive-stage SCLC patients compared with carboplatin, etoposide, and nivolumab alone (NCT04702880).

2.4. GM3

Ganglioside GM3 is widely distributed in essentially all types of animal cells, and overexpressed in several types of human cancers, such as melanomas, lung, and brain cancers [106,107]. Its detection at the surface of tumor cells is an important factor in determining the metastatic phenotype [108,109]. It has been demonstrated that GM3 density may affect antigenicity. The mAb M2590 reacts with melanoma cells, but not with corresponding normal tissue [110]; it was unexpectedly proven that the identified epitope was GM3. The recognition of this molecule does not occur in a monomeric state, and it was shown that a high ganglioside density was required for the reactivity of M2590 mAb, suggesting that the cancer specificity displayed by this antibody is established by the recognition of a more densely packed cluster state of GM3 [111].
Several variants of GM3 are relevant in oncology. The de-N-acetyl GM3 (d-GM3), a variant exhibiting a free amino group at position 5 of the sialic acid instead of the acetyl group, was found in melanoma, and it was demonstrated that it enhances cell migration and invasion [112]. A great interest in antitumor immunotherapy was demonstrated for the variant GM3, which contains N-glycolylneuraminic acid (Neu5Gc) instead of N-acetylneuraminic acid (Neu5Ac) [113]. GM3(Neu5Gc) is widely synthetized in most mammals, but not in normal human cells, due to an inactivating mutation in the human cytidine monophospho-N-acetylneuraminic acid hydroxylase gene [114]. In contrast, GM3(Neu5Gc) is often highly detected in human cancers, such as melanoma, colon, breast, and lung cancer [115,116,117,118], a phenomenon that has been attributed to Neu5Gc metabolic incorporation into cancer cells from dietary sources, particularly red meat [116]. The ganglioside GM3 (Neu5Gc) is a neoantigen with promising possibilities for cancer immunotherapy [119]. Several GM3 (Neu5Gc)-targeting antibodies have been developed, and the best characterized are the mouse IgG1 mAb14F7 [120] and its humanized variant 14F7hT [121]. Additionally, 14F7hT shows potent in vivo antitumor ADCC on a solid mouse myeloma model [122], as well as on SKOV3 human ovarian carcinoma cell and Lewis lung carcinoma (3LL) mouse tumors [123].
Considering that gangliosides display low immunogenicity, a strategy for vaccine development was the solubilization of the hydrophobic outer membrane proteins of Neisseria meningitidis with GM3 (Neu5Gc) to form small-sized proteoliposomes (VSSP) (GlycoVaxGM3-NeuGcGM3/VSSP) [124]. This vaccine was reported as safe and immunogenic [119]. Vaccination of melanoma patients [125] and breast cancer patients [126,127] induced high titers of antibodies IgM and IgG anti-GM3 (Neu5Gc). In melanoma patients, the GlycoVaxGM3 vaccine improved overall survival of metastatic patients after first-line chemotherapy [128]. GlycoVaxGM3 clinical effectiveness was also evaluated in metastatic breast cancer patients, and overall survival was higher in vaccinated patients [129].
Another strategy to induce an immune response by anti-TACA is the use of peptide structures simulating the tumor glycan, such as immunization with anti-idiotypic antibodies, following the theory of idiotypic network proposed by Jerne [130]. This strategy is feasible as a means by which to induce an immune response against some TACAs, such as GD2 [131] and GD3 [97]. Although several preclinical studies using anti-idiotypic antibodies supported their utility as antitumor vaccines, human studies have been disappointing and anti-idiotypic vaccines failed in clinical trials [132]. However, promising results were obtained with the anti-idiotype vaccine Racotumomab (Vaxira®), which mimics the ganglioside GM3 (Neu5Gc). The first step in Racotumomab development was mice immunization with liposomes containing GM3 (Neu5Gc), and the result was the mAb P3 (IgM), which recognized different cancers expressing GM3 (Neu5Gc). Subsequently, mice immunization with the mAb P3 conjugated to the carrier protein KLH led to the obtaining of anti-idiotype mAb 1E10 (IgG) (Racotumomab) [133]. A phase I clinical trial of Racotumomab was conducted in children with a diagnosis of cancers expressing N-glycolylated gangliosides, resistant to conventional therapy (NCT01598454), confirming a favorable toxicity profile up to a dose of 0.4 mg, and most patients elicited an immune response [72]. Currently, a phase II trial is ongoing in patients with high-risk neuroblastoma (NCT02998983). Two clinical trials evaluated this mAb in advanced lung cancer (NCT01240447 and NCT01460472). Vaxira® has reached the market and is the first approved anti-idiotype vaccine (in Argentina and Cuba) as an active immunotherapy agent for advanced non-small cell lung cancer (NSCLC) treatment. It was found that anti-GM3 (Neu5Gc) Abs induced by Racotumomab vaccination can mediate an antigen-specific ADCC response against tumor cells in NSCLC patients [134]. In the same way, an immunological response producing IFNγ was found in metastatic breast cancer patients treated with Vaxira® [135].

2.5. Globo-Series

GSLs of the globo-series, such as stage-specific embryonic antigen 3 (SSEA-3), SSEA-4, and Globo-H, are specifically synthetized on pluripotent stem cells and cancer cells. They are known to be associated with various biological processes such as cell recognition, cell adhesion, and signal transduction [26,136]. Among them, the most prevalent cancer-associated antigen is Globo-H ceramide (GHCer), which is overexpressed in several cancers, including breast, gastric, lung, ovarian, endometrial, pancreatic, and prostate cancers [99,137]. The detection of GHCer in normal tissues is restricted to the luminal surface of glandular tissues, usually not accessible to the immune system [25]. GHCer could be transferred from cancer cells into non-tumor cells located in tumor microenvironment, such as endothelial cells, promoting angiogenesis [138], as well as into T cells, inhibiting IL-2, interferon-γ, and IL-4 secretion, promoting immunosuppression [25]. The specific expression of GHCer in tumor cells, as well as its role promoting tumor progression, makes this antigen an attractive target for anticancer immunotherapies.
GHCer-targeted immunotherapy in breast cancer has generated encouraging results, and a vaccine containing Globo H–KLH conjugate plus the immunological adjuvant QS-21 has been shown to be safe, along with induction of humoral antibody responses, in two phase I clinical trials carried out in patients with relapsed prostate cancer [139] and metastatic breast cancer [140]. More recently, a multi-national randomized phase II trial of Globo H–KLH with adjuvant OBI-821 vaccine was evaluated in 348 patients with metastatic breast cancer (NCT01516307). The authors found that, although there was no difference in progression-free survival between patients treated with Globo H vaccine and those treated with placebo, in the vaccinated group, those patients who mounted anti-Globo H responses had significantly better progression-free survival than the placebo group [73]. Based on these promising results, a global phase III trial in triple-negative breast cancer is ongoing (NCT03562637).
Regarding passive immunotherapy, tumor growth inhibition (TGI) was found in mice xenografted with human breast cancer MCF7 cells by treatment with anti-Globo-H (mAb VK9) and anti-SSEA4 (mAb MC813-70), showing 45% and 24% TGI, respectively, and 56% of TGI in combination treatment; this indicated that SSEA4 and Globo-H may play a synergistic role in regulating tumor growth [141]. Ruggiero et al. demonstrated that mAb MC-813-70 is rapidly internalized into triple-negative breast cancer cells following its binding to a specific target at the plasma membrane, accumulating in acidic organelles [142]. As such, conjugating this antibody with the saporin toxin, these authors developed an immunotoxin able to reduce the viability of breast cancer cells in vitro and in vivo. Furthermore, a novel antibody–drug conjugate (OBI-999), derived from an anti-Globo-H mAb conjugated with a monomethyl auristatin E (MMAE), displays excellent tumor inhibition in different animal models, including breast, gastric, pancreatic, and lung cancers [143]. Further work is needed to validate these novel drugs for the treatment of solid tumors; hence, two phase I/II clinical trials are currently evaluating the safety, pharmacocynetics, and therapeutic activity of the anti-globo H mAb OBI-888 in multiple advanced and metastatic solid tumors (NCT03573544), as well as the immunotoxin OBI-999 in advanced solid tumors (NCT04084366).

3. Simple Mucin-Type O-Glycan Antigens

Simple mucin-type O-glycosylated TACAs, such as the Tn antigen (CD175), the TF antigen (or T antigen, CD176), and the sialyl-Tn antigen (STn, CD175s), are attractive targets for anticancer therapies because they are detected in most carcinomas and are usually absent in healthy tissues [144]. Mucin-type GalNAc O-glycans are built up by a sequential step-by-step process in the Golgi apparatus, starting with the addition of a N-acetyl-galactosamine (GalNAc) to a serine or a threonine residue, whose result is the core GalNAcα-O-Ser/Thr (Tn antigen). This initial key step of the O-glycosylation process is catalyzed by the UDP-GalNAc:polypeptide-N-acetyl-galactosaminyl-transferases family (GalNAc-T) [145]. GalNAcα-O-Ser/Thr is then further elongated by other glycosyltransferases to generate complex O-glycans. For example, the Tn structure is the acceptor substrate for core 1 β3-galactosyltransferase (C1GalT1) to generate the core 1 disaccharide O-glycan Galβ1-3GalNAcα-O-Ser/Thr, (TF antigen). Moreover, addition of sialic acid to the Tn antigen, catalyzed by the ST6GalNAc-I, results in the sialyl-Tn antigen synthesis. The sialylation of the Tn antigen blocks further elongation of the saccharide chain. These truncated O-glycan antigens are observed at the earliest stages of cellular malignant transformation [146,147,148] and are significantly associated with tumor progression through various mechanisms affecting adhesion properties of cancer cells, stabilizing receptor expression on the cell surface allowing stronger signaling, and triggering immune suppression by binding to tolerogenic dendritic cells or modulating NK cells action by competitive lectin binding [149,150,151].

3.1. Tn Antigen

Different mechanisms can cause the cumulative expression of the Tn antigen found in cancer cells. Defects in the chaperone Cosmc due to epigenetic silencing or mutations, essential for the activity of the C1GalT1 enzyme, [152,153], but also changes in the expression and organization of different glycosyltransferases, as well as relocation of GalNAc-transferases [154,155], can play a role. Several mAbs recognizing the Tn antigen have been generated using different immunization strategies. Some of these antibodies are CU-1 [156], Ca3638 [157], MLS128 [158], BRIC 111 [159], 5F4 [160], HB-Tn1 [161], PMH1 [162], 83D4 [163], SM3 [164], 237mAb [165], PankoMab [166], 5E5 [167], KM3413 [168], 2154F12A4 [169], GOD3-2C4 [170], Kt-IgM-8 [171], 6C5 [172], and Remab6 [173]. Although the chemical structure of the Tn determinant is known to be GalNAcα-O-Ser/Thr, its immunological definition is more complicated, and some antibodies clearly require more complex epitopes than a single Tn residue. Indeed, some anti-Tn antibodies require the involvement of additional amino acids in the antigenic determinant. This is the case for the mAb FDC-6, which reacts specifically with a Tn on a hexapeptide sequence (VTHPGY) at fibronectin [174]; PMH1 can react with single or multiple Tn on a specific MUC2 apomucin peptidic chain [162]; mAb 237 is directed to a Tn-glycopeptide in murine podoplanin [165]. Several mAbs such as B27.29 [175], SM3 [164], PankoMab [166], and 5E5 [167] specifically recognize the Tn-MUC1 peptide, while mAb 6C5 is specific for a Tn-peptide epitope in dysadherin/FXYD5 [172]. These observations indicate that the neighboring peptide backbone could be an important factor that modulates the structure of the Tn epitope. In addition, the mAb PODO447 reacts with an unusual terminal motif (N-acetylgalactosamine beta-1, GalNAcβ1), predominantly found on the Podocalyxin (Podxl) protein core [176], a glycomotif rarely found in normal eukaryotic cells. Although some proteins are able to recognize a single Tn determinant, such as mAb Kt-IgM-8 [171] and plant lectins (VVLB4 and Salvia sclarea) [163,177], other anti-Tn monoclonal antibodies require at least two consecutive Tn residues for binding, such as MLS128 [178], 83D4 [163], KM3413 [168], and Remab6 [173]. This fact may be related to a higher specificity in cancer cell recognition. In addition, we demonstrate that the Tn backbone (serine or threonine) is important for some aspects of mAbs binding. Using synthetic Tn-based vaccines, we generated a panel of anti-Tn monoclonal antibodies able to recognize tri-Tn build on different backbones such as S*S*S*, S*T*T* or T*T*T* (S = Serine; T = Threonine; * = GalNAc). For example, the mAb 15G9 specifically recognized S*S*S* but failed to bind to the other structures [179]. These antibodies exhibited differentiated recognition by immunohistochemistry in human breast and colon cancer, demonstrating that the amino acid carrier of the GalNAc (Ser vs. Thr) could play a key role in anti-Tn specificity for cancer detection. This fact involves an additional complexity regarding the apparently simple structure of the Tn-antigen. The great variety of anti-Tn antibodies developed, exhibiting high differences in recognition patterns, demonstrates that, for several of them, the determinant GalNAcα-O-Ser/Thr is a necessary condition, but it may still be insufficient. In the same way, functional evaluation of different anti-Tn antibodies with arrays of synthetic saccharides, glycopeptides, and O-glycoproteins, demonstrates similar variability in fine specificity [180,181].
In vivo experiments showing a reduction in tumor growth mediated by anti-Tn antibodies can be explained by different mechanisms: (i) antibody-dependent cellular cytotoxicity (ADCC) [20,166,168,170,182,183]; (ii) antibody-induced complement-dependent cytotoxicity (CDC) [171]; (iii) inhibition of cancer cell adhesion to lymphatic endothelium [169]; and (iv) direct blocking of receptor signaling, such as epidermal growth factor receptor and insulin-like growth factor I receptor [184]. These different mechanisms may be strongly dependent not only of the antibody class but also of the fine specificity of each antibody.
With the aim of using anti-Tn antibodies as immunotherapeutic agents in cancer treatment, chimeric or humanized antibodies were generated from the variable region sequences of existing murine monoclonal antibodies: (i) cKM3413 is a mouse–human chimeric IgG1 antibody generated from the mAb KM3413 [168]. In vitro assays with Jurkat cells (a human T-lymphoid leukemia cell line) revealed that cKM3413 induced ADCC and direct killing activity with cross-link antibodies. In vivo experiments with Jurkat-inoculated C.B-17/lcr-scid Jcl mice showed significantly better survival in the group treated with cKM3413 compared with the PBS control group, suggesting the therapeutic potential of this antibody. (ii) Remab6 is a chimeric human IgG1 antibody [173] derived in part from the murine mAb Ca3638 [157]. Remab6 showed high specificity for cancer tissues. Its antitumor activity has not yet been reported. (iii) Natural MUC1 Abs from breast cancer patients reacted more strongly with GalNAc peptides than with the naked 60-mer peptide, indicating that a MUC1 glycopeptide could be a better vaccine [185]. The mAb 5E5 recognizes an immunodominant cancer-specific epitope, Tn-MUC1 (in the GSTA region), not covered by immunological tolerance in MUC1-humanized mice [167]. Moreover, 5E5 has been shown to lyse MCF-7 and T47D breast cancer cells via both ADCC and CDC [182]. Recently, it was found that humanized mAb 5E5 antibodies (CIM301-1 and CIM301-8) are potent enhancers of NK cell activation and cytotoxicity in vitro in MUC1-Tn/STn-positive tumor cells [183]. It was observed that, by removing the fucose on the N-glycan of the Fc tail (antibody CIM301-8), an increase in Fc-binding affinity to the FcγRIIIa was achieved, leading to enhanced ADCC by a potentiated NK cell response. (iv) PankoMab also recognized an immunodominant Tn-MUC1 determinant located in the PDTRP region [166]. This antibody showed high and specific ADCC-mediated lytic activity using human peripheral blood mononuclear cells (PBMC) as effector cells. PankoMab-GEX™ is a fully humanized antibody derived from PankoMab, also known as Gatipotuzumab, glycoengineered to achieve enhanced Fc-mediated antitumor activity [52]. A phase I clinical trial in patients with advanced solid tumors, mostly colon and ovarian cancers, demonstrated that the drug was safe and well tolerated (NCT01222624). Following promising preliminary efficacy in patients with ovarian cancer, a phase II was conducted in patients with recurrent ovarian, fallopian tube, or primary peritoneal cancer to evaluate the efficacy of PankoMab-GEX vs. placebo in maintaining response after chemotherapy (NCT01899599). However, this study failed to demonstrate an improvement in progression-free survival [53]. Another phase I trial in solid tumors evaluated the combination of Gatipotuzumab with an anti-EGFR antibody (NCT03360734), demonstrating feasibility and antitumor activity in colorectal cancer (CRC) and NSCLC patients [54]. (v) We generated and characterized the mAb Chi-Tn, a chimeric mouse/human antibody containing mAb 83D4 VH and VK variable regions and the constant region of IgG1κ human immunoglobulin [186]. The mAb 843D4 was generated from splenocytes of mice immunized with a human breast cancer [187] and required at least two consecutive Tn residues for antigen binding [163]. The binding of 83D4 is not influenced by the peptide structure [179]. The Chi-Tn antibody induced the rejection by ADCC of a murine breast cancer in 80% to 100% of immunocompetent mice, with this activity being strongly potentiated by cyclophosphamide [20]. The Chi-Tn rapidly internalizes into cancer cells and delivers cytotoxic drugs in active form, and the conjugated auristatin F exhibited efficient antitumor activity in vivo [188]. In addition, ChiTn enhanced internalization of nanoparticles containing docetaxel, inducing a strong reduction in the viability of human lung cancer cells [189].
Regarding the usefulness of the Tn antigen to induce immunological antitumor response, the first studies were performed by George Springer, using red blood cells expressing Tn/TF antigens. Immunization of advanced breast cancer patients with these antigens induced immune responses correlated with better survival, suggesting a novel strategy for cancer treatment [190]. However, the first synthetic Tn vaccine reported in clinical trials, a palmitoyl-Tn conjugate, failed to induce anti-Tn responses [191]. The fact that the binding of some anti-Tn monoclonal antibodies requires several consecutive Tn residues to recognize tumor cells is consistent with the fact that this antigen is known to be displayed as clusters on native mucins. This provided the basis for the rational design of glycopeptide-based anticancer vaccines containing glycotopes organized in clusters. Kuduk et al. [192] observed that clusters of three consecutive Tn residues, covalently linked to the carrier protein KLH, were able to induce high IgM and IgG anti-Tn antibody titers in mice. These antibodies were strongly reactive with the Tn positive human colon cancer cell line LSC, but not with the Tn-negative LSB cell line. A fully synthetic Tn immunogen that does not require a protein carrier, called multiple antigenic glycopeptide (MAG), was developed carrying the Tn antigen associated with a T-helper epitope (initially a poliovirus peptide). It was found that the MAG containing the tri-Tn glycotope was much more efficient than the mono-Tn analogue in promoting the survival of mice grafted with the mammary adenocarcinoma TA3/Ha cell line in immunotherapeutic experimental settings [193]. To ensure a broad coverage within the human population, the tetanus toxoid-derived peptide TT830-844 was selected as a T-helper epitope in MAG-Tn because it can bind to HLA-DRB molecules, largely expressed in the population [194]. This MAG-Tn-TT, in association with AS15, has been found to be well tolerated in non-human primates and induced robust Tn-specific IgM and IgG responses [194]. The MAG-Tn-TT vaccine was recently evaluated in seven patients with localized breast cancer with a high-risk of relapse. This phase I clinical trial (NCT02364492) demonstrated that all vaccinated patients developed high levels of Tn-specific antibodies that killed Tn-expressing human tumor cells through a CDC mechanism [74].
However, the Tn antigen, besides inducing antitumor immune response, can also favor tumor immune tolerance, explaining at least in part the failure of some vaccine strategies. For example, Tn is recognized by the tolerogenic lectin—macrophage galactose C-type lectin (MGL)—expressed by dendritic cells and macrophages, which allows these cells to suppress T cell immunity [195] and promote angiogenesis [196], thus playing a role in cancer progression. In addition, overexpression of Tn antigen in mouse MC38 colorectal cancer cells increased myeloid-derived suppressor cells and decreased CD8+ T cell infiltration, promoting an immune-suppressive tumor microenvironment [197].

3.2. Sialyl-Tn Antigen

STn is often coexpressed with Tn and, as Tn, its detection is low or null on normal cells or tissues, depending on mAb used. Aberrant STn expression is associated with dysregulation of the O-glycosylation machinery, including imbalanced expression of Cosmc and STn synthase (ST6GalNAc-I). De novo STn expression via ST6GalNAc-I transfection can change a tumor’s malignant phenotype [151], leading to more aggressive cancer cell behavior, decreasing cell–cell aggregation and increasing tumor growth, extracellular matrix adhesion, migration, invasion, and metastases [198,199,200]. In addition, it was demonstrated that STn-expressing cancer cells impair maturation of DCs, endowing a tolerogenic function and therefore limiting their capacity to trigger protective antitumor T cell responses [201].
The first evidence of STn detection in cancers was obtained by B72.3 mAb, produced by somatic fusion of splenocytes from mice immunized with human breast cancer membranes [202]. B72.3 is immunoreactive with a high molecular weight glycoprotein complex, designated tumor-associated glycoprotein TAG-72 [203]. The second-generation antibody CC49 was generated following mice immunization with TAG-72 molecules affinity purified by B72.3 [204]. Two other anti-STn mAbs, TKH2 [205] and HB-STn1, were generated by mice immunization with ovine submaxillary mucin (OSM). In the same way as anti-Tn antibodies, some anti-STn mAbs display better recognition when antigens are clusters of STn. For example, mAbs B72.3 and MLS 102 strongly bind glycoproteins bearing STn-trimers but exhibit poor interactions with monomeric-STn glycoproteins [206]. Similar results were observed by Ogata et al. for mAbs TKH2 and B72.3, both reacting with trimeric STn, but mAb TKH2 demonstrated greater binding than mAb B72.3 to monomeric STn [207]. Reddish et al. observed that mAb B72.3 chiefly recognized STn-serine clusters, but also exhibited cross-reactivity with the non-sialylated Tn-serine clusters [208]. By contrast, the mAb CC49 showed strong reactivity with STn-serine clusters and weak reactivity with Tn-serine clusters.
Compared to B72.3, mAb CC49 has an affinity constant about six times higher and has shown a 16-fold increase of tumor/blood ratio in human xenografts in athymic mice [209]. Murine CC49 and its humanized version (huCC49) [210] have been evaluated in phase I/II radioimmunotherapy clinical trials with encouraging results. Intraperitoneal radioimmunotherapy with 177Lu-CC49 was well tolerated and seems to have antitumor activity against chemotherapy-resistant ovarian cancer in the peritoneal cavity [211,212,213]. In a phase II clinical trial, radioimmunotherapy with 131I-CC49 in hormone-resistant metastatic prostate cancer, in combination with IFN, enhanced tumor uptake and antitumor effects compared to a prior phase II trial of 131I-CC49 alone [214]. Myelotoxicity is dose-limiting because of prolonged circulation time in the plasma, and HAMA responses were observed in most patients. To ameliorate these problems, a CH2 domain-deleted humanized CC49 (HuCC49ΔCh2) was developed [215]. Recently, in a murine model of ovarian cancer radioimmunotherapy using 225Ac-Labeled DOTAylated-huCC49 antibody, a significant reduction in tumor growth was observed in a dose-dependent manner, and survival was improved by more than three-fold compared with the untreated control group, without significant off-target toxicity [216]. Another therapeutic strategy with anti-STn antibodies is drug delivery. PEG-immunoliposomes (PILs) were prepared by conjugation of Fab’ fragments of huCC49 to target STn-overexpressing cancer cells [217]. These anti-TAG-72 PILs were able to adhere to the surface of TAG-72-overexpressing LS174 T human colon cancer cells more effectively than conventional liposomes. Intravenous administration of the anti-TAG-72 PILs, containing plasmids encoding antiangiogenic proteins, significantly inhibited in vivo growth of LS174 T tumors and angiogenesis in the tumor tissues [217]. Anti-STn antibody drug conjugate was generated using CC49 and MMAE, an antimitotic agent that inhibits cell division by blocking the polymerization of tubulin [218]. In the murine model of ovarian cancer OVCAR3, CC49-Br-MMAE-treated mice exhibited an average of a 15.6-day delay in tumor growth and a 40% increase in survival vs. controls. In addition, the anti-STn mAb SF3 MMAE conjugation demonstrated significant tumor growth inhibition in breast and colon STn-expressing tumor xenograft cancer models, without overt toxicity [219].
The most evaluated agent targeting STn was a vaccine (Theratope) that attained phase III clinical trials. This vaccine consists of a synthetic construct of STn disaccharide conjugated to the KLH that has been designed by the biotech company Biomira (Alberta, Canada) [220]. In murine mammary carcinoma models, Theratope immunization induced potent antibody responses that delayed tumor growth [221]. Patients receiving Theratope had a significantly improved survival by 12.1 months and developed anti-STn humoral immune responses [222]. However, no overall benefit of Theratope was observed in a large phase III clinical trial in metastatic breast cancer patients (NCT00003638 [75], and only modest clinical efficacy was achieved in women with metastatic breast cancer who received concurrent endocrine therapy and Theratope (NCT00046371) [76]. Theratope’s lack of efficacy in the phase III clinical trial could be due to the broad variability of STn expression in breast cancer tissues [75,223].

3.3. TF Antigen

TF is found in relatively low levels in a lot of normal tissues, but is present in much higher level in carcinomas, and is associated with invasiveness, tumor growth, and high metastatic potential. This is due, at least in part, to increased interaction of cancer cells via TF with members of the endogenous galactoside-binding galectins [224]. TF expression can be determined by different factors including the balance of glycosyltransferases, but also sugar nucleotide transporters and epimerases expression acting synergistically [225]. The TF disaccharide is linked O-glycosidically to the hydroxy amino acid serine or threonine in α-anomeric configuration, but there is an important structural difference between the TF-α disaccharide and the TF-β linked, which can have subtle implications in antibody recognition. Anti-TF antibodies exist in the blood serum of healthy people, originating via cross-reaction with gastrointestinal bacteria, exhibiting TFα-affinity [226]. Although their cancer-related modifications, such as a decrease in anti-TF-specific IgM and increased sialylation, have been linked to cancer and prognosis, suggesting usefulness as biomarkers [227,228], there is still insufficient evidence to validate an anti-TF antibody signature in clinical settings [229].
Classically, TF identification was performed by peanut agglutinin (PNA), although this lectin binds to glycans harboring terminal Galβ found in normal tissues, thereby showing cross-reaction. As a result, great efforts have been made to produce useful specific tools, and several monoclonal antibodies have been developed using different strategies with synthetic or natural TF antigens for mice immunization. Most of them exhibit a cross-reaction between TF-α and TF-β, and controversial results regarding TF expression in cancer have added complexity to the subject. Several antibodies developed in the 1980s and early 1990s have been reviewed in detail by Hanisch and Baldus [230], and we will not add to these reviews. However, we would like to mention some mAbs that show potential therapeutic utility.
The mAb JAA-F11, developed by Rittenhouse-Diakun et al. [231], an IgG3 specific to the TF-α, demonstrated tumor growth inhibition and a decrease in lung metastasis in the breast cancer metastatic model 4T1 [232]. A lack of reactivity with TF-β is important for immunotherapy, considering that this structure is synthetized on glycolipids of normal tissues such as kidney, as well as regenerating respiratory epithelial cells and NK-cells, which can affect tumor growth [233]. Ferguson et al. also demonstrated growth inhibition in a large panel of human breast cancer cell lines [234]. Taken together, the specificity of mAb JAA-F11 and its antitumor growth and antimetastatic effects suggest the potential of this antibody for targeted immunotherapy. As such, humanization of JAA-F11 was performed, obtaining constructs with excellent specificity to TF-α, with lower immunogenicity and able to produce ADCC. This humanized antibody (hJAA-F11) internalized into tumor cells; despite the important demonstration that both naked antibody and amaytansine conjugated antibody (hJAA-F11-DM1) suppressed in vivo tumor progression in a human breast cancer xenograft model in SCID mice [235], no clinical trials have yet been conducted for this antibody.
Using synthetic carbohydrate haptens linked to human serum albumin (HSA) as a carrier protein, Longenecker et al. generated several mAbs [236] with specificities for TF-α, TF-β, and Tn antigens. One of them (170H.82), binding to both forms of TF antigen, reacts with breast, lung, and colon cancers. This antibody labelled with technetium-99m demonstrated improved images in assessing distant metastases in patients with breast cancer [237]. Phase I clinical trials were conducted to study the effectiveness of radiolabeled m170 antibody (Y90 MOAB m170) plus cyclosporine, as well as paclitaxel, in treating patients who have recurrent or refractory metastatic breast cancer (NCT00009763) and metastatic prostate cancer that had not responded to hormone therapy (NCT00009750). Toxicity was limited to marrow suppression and cyclosporine was effective in preventing HAMA reaction [55].
Another strategy targeting TF-antigen showing potent and selective antitumor activity is a peptide specific for TF-α conjugated to the alkylating subunit of the cytotoxin duocarmycin [238]. Duocarmycin is a cytotoxin exhibiting effective antitumor activity in breast and ovarian cancer treatment when conjugated to trastuzumab. The smaller size of the peptides compared to antibodies improved the penetration into solid tumors. An evaluation on different human cell lines confirmed that the peptide-duocarmycin is active in cell lines expressing TF-α.
Regarding vaccine approaches, TF cluster (c)-KLH conjugate vaccine plus QS21 was evaluated in patients with relapsed prostate cancer (NCT00003819) [77]. All doses induced high-titer IgM and IgG antibodies against TF. The results justify the inclusion of TF(c) at a dose of 1 microg as a relevant antigenic target in multivalent phase II vaccine trials in patients in the high-risk minimal disease state.

3.4. Parasite Glycans and Cancer Immunotherapy

We have characterized human cancer-associated simple O-glycan structures in several parasites [239]. First, we described the presence of Tn and STn antigens in Echinococcus granulosus, a cestode parasite causing cystic echinococcosis disease [240], as well as in other species belonging to the two main helminth phyla [241,242,243]. In addition, the sialyl-Tn antigen was detected in Trypanosoma cruzi, the protozoan parasite that causes Chagas’ disease [244]. One of the major challenges in the development of an efficient anticancer vaccine is to overcome immune tolerance to tumor-associated antigens (TAA), as well as to the immune evasion strategies developed by tumors [245]. After demonstrating that different TACA are found in parasites, we generated the hypothesis that molecules from these organisms could be useful in developing antitumor vaccines or therapies because TAA from evolutionarily distant organisms should be useful for overriding tolerance problems encountered with human TAA-based cancer therapeutic approaches. We found that immunization with mucin peptides derived from E. granulosus could induce antitumor activity by increasing the frequency of activated NK cells and providing splenocytes with the capacity to mediate the killing of cancer cells [246]. In addition, we observed that vaccination with E. granulosus antigens from human hydatic cyst fluid (HCF) inhibited colon cancer growth via induction of antitumor immunity [247]. Furthermore, immunization with T. cruzi components from epimastigotes (Tce) reduced colon and mammary cancer development in two rat models reproducing human carcinogenesis [248]. Recently, working with a LL/2 lung cancer mouse model, we found that depletion of NK1.1+ cells reduced HCF-induced mouse survival [249]. In addition, oxidative treatment of human HCF with sodium periodate abolished the antitumor activity induced by HCF-vaccination, indicating that glycoconjugates are necessary to induce antitumor responses by E. granulosus molecules [249]. Similar results were observed when oxidative treatment with sodium periodate was performed on T. cruzi extracts (Freire et al., manuscript in preparation). It is therefore essential to characterize in detail the parasite glycans responsible for antitumor activity induction, and to elucidate the immunobiological mechanisms mediating tumor rejection so as to advance the development of a new type of anticancer treatment.

4. Lewis Antigens

Type I and type II Lewis antigens are terminal fucosylated carbohydrate structures belonging to the human histoblood group system, differing only in their glycosidic bonds (Galβ1-3GlcNAc and Galβ1-4GlcNAc, respectively). H1, H2, LewisA (LeA), LewisB (LeB), LewisX (LeX), and LewisY (LeY) are synthetized in exocrine epithelial cells by fucosyltransferases (FUTs) enzymes [250]. These antigens are associated with healthy and pathological conditions and, as cancer-associated antigens, they could be promising targets for novel approaches in personalized medicine [251]. Lewis antigens and their sialylated forms have been largely associated with disease progression and dissemination in cancer patients. CA19.9, which recognize sialyl-LeA (SLeA), has been widely used as a serological tumor marker in gastrointestinal and pancreatic cancers. However, its performance is not accurate enough for clinical use [252]. Although its tissue expression exhibits some conflicting results, probably due to differences in used antibodies, most studies related SLeA detection with worse prognosis [253]. In NSCLC, SLeA and its isomer SLeX are carried by carcinoembryonic antigen, and mediate tumor cells binding to E-selectins on endothelial cells, enhancing metastatic potential [254]. As a therapeutic target, SLeA has attracted interest, and fully human mAbs from individuals immunized with a SLeA–KLH vaccine have been developed, while 5B1 (IgG1) demonstrated improved overall survival in animal models [255]. This antibody, named MVT-5873, was evaluated in pancreatic cancer in combination with gemcitabine and nab-paclitaxel, demonstrating itself to be safe and tolerable [256]; it is being further evaluated in CA19-9 positive malignancies in combination with FOLFIRINOX (NCT02672917). On the other hand, peri-operative MVT-5873 treatment is being evaluated in operable tumors expressing CA19-9, assessing safety and efficacy for improving survival (NCT03801915) [56]. MVT-5873 was also evaluated in combination with MVT-1075 (the same Hu mAb 5B1 conjugated to CHX-A″-DTPA and radiolabelled with 177Lutetium) in a radioimmunotherapy phase II trial in patients with CA19-9-positive tumors. Preliminary results were associated with predicted manageable hematologic toxicities and MVT-1075 demonstrated target accumulation [257]. Another antibody targeting sialyl-di-LewisA is FG129, an IgG1κ and its chimeric form CH129, which was drug-conjugated MMAE or maytansinoid (DM1 and DM4), demonstrating promising results in preclinical models; it is a good candidate for evaluation in clinical trials [258].
Furthermore, mAbs anti-LeY have also been developed and evaluated as potential drugs for cancer therapy. The murine mAb 3S193 (IgG3), generated by immunization with the MCF-7 breast cancer cell line, showed high specificity for LeY antigen [259]. Then, the humanized version hu3S193 was constructed, demonstrating potent immune effector function, with higher ADCC and CDC than its murine counterpart [260]. In clinical studies, it demonstrated itself to be safe, with a strong ability to target tumors, justifying further investigation [57,261] (NCT00084799). However, in a phase II study in gynecological cancers (NCT00617773), the clinical benefit of hu3S193 was modest [58]. Another strategy assessed for this antibody was a second-generation CAR-T anti-LeY evaluated in acute myeloid leukemia, demonstrating feasibility and durable in vivo persistence [262]. Recently, a novel bi-specific antibody was produced, targeting LeY and CD3 (m3s193 BsAb), which showed strong T cell recruiting and antitumor activity in gastric cancer animal models, and suggested potential interest for gastric cancer therapy [263]. Another anti-LeY specific mAb, the chimeric BR96 [264], was drug conjugated to doxorubicin (SGN-15), and it was evaluated in clinical trials in combination with docetaxel for NSCLC (NCT00051571), demonstrating safety and suitability in second- and third-line treatment [59]. In contrast, in metastatic breast cancer, it showed limited clinical antitumor activity and gastrointestinal toxicities [265].
Considering vaccine strategies, SLeA could be an interesting candidate as it is highly detected in several epithelial malignancies, including gastrointestinal, colon and pancreatic cancer, as well as breast cancer and SCLC, but not in counterpart normal tissues. However, considering its structural similarities with other widely expressed blood group-related carbohydrates, cross-reaction may be a major concern. Ragupathi et al. demonstrated that SLeA-KLH conjugate, plus saponin adjuvant, induces high titers of antibodies specific for SLeA, reacting with SLeA-expressing human cancer cells and mediating complement lysis [266]. Evaluated in a pilot study in metastatic breast cancer patients, the results confirmed the safety and immunogenicity of the product, and the authors proposed its inclusion in polyvalent constructs (NCT00470574) [78].
Regarding SLeX, it is a TACA found in different carcinomas (e.g., breast, ovarian, melanoma, colon, liver, lung, and prostate cancer). However, it is also detected on neutrophils, monocytes, and certain T lymphocytes [267]. It is the most important ligand for selectins, particularly E-selectin, which is expressed on the surfaces of endothelial cells, facilitating the leukocyte extravasation to sites of inflammation [268]. Pro-inflammatory cytokines IL-1β, IL-6 and TNF-α could increase the expression of SLeX in cancer cells [269]. Interactions between SLeX of cancer cells and endothelial E-selectin seem to favor the hematogenous metastasis of the overexpressing tumor cells, leading to poor prognosis [270]. Knock down of α-1,3-fucosyltransferase in a colon cancer cell line downregulates SLeX expression and decreases selectin binding and metastatic capacity [271]. Several mAbs specific for SLeX have been developed: FH6 [272], CSLEX-1 [273], AM-3 [274] and KM93 [275], which are useful to identify SLeX in different cancer types. Although several lines of evidence have shown the association between SLeX and the prognosis of patients with breast cancer, colorectal cancer, and NSCLC [276,277], these antibodies have not yet been clinically applied [267]. Strategies with mAbs anti-SLeX have not yet given significant results in cancer treatment, including the recently generated mouse/human chimeric CSLEX-1 antibody [278].
Vaccine development using SLeX has not generated significant contributions either. One strategy to induce immunogenic reaction in melanoma was the injection of SLeX overexpressing polyvalent melanoma cell vaccine (MCV), which consists of three melanoma cell lines (M10-v, M24, and M101) cryopreserved and irradiated [279]. In the melanoma C57BL/6j animal model, better outcomes were observed with high titers of IgM and low titers of IgG, while a high IgG:IgM rate was correlated with worse outcomes [280]. Searching for a switch to a T-dependent response, immunizations with peptides that mimic SLeX proved to be effective in stimulating anti-SLeX specific immune response, and following challenge with Meth-A fibrosarcoma cells, CDC was observed [281]. Besides, small molecule drugs that mimic the structures SLeA and SLeX can potently inhibit their functional binding to selectins and are validated drug targets in the pharmaceutical industry [276]. Among other anticancer strategies, SLeX-modified liposomes have been generated, which are able to inhibit adhesion of cancer cells by competition with ligands and can also be useful for anticancer drug delivering to cancer cells neighboring endothelial cells expressing E-selectin [282,283]. Finally, an interesting observation is that cimetidine, a histamine H2 receptor antagonist inhibiting stomach acid production, dramatically improves survival in patients with colorectal cancer exhibiting high concentrations of SLeX and SLeA in tumor cells [284]. Cimetidine is able to block E-selectin expression on vascular endothelium, and this inhibits adhesion of cancer cells to endothelial cells [285], suggesting that cimetidine can prevent metastasis development by suppression of E-selectin/SLeX and SLeA interaction. Similar results have been observed for gastric cancer [286] and hepatocellular carcinoma [287].

5. Polysialic Acid

The glycan modification process, attaching monomeric sialic acid entities onto the nonreducing end of the glycan tree, forms a polysialic acid tail (PSA) synthesized as α2,8-linked homopolymers of Neu5Ac subunits, ranging from 2 to 400 units, on glycoproteins or glycolipids [288]. In humans, a limited number of glycoproteins can undergo polysialylation by enzymes of the α2,8-sialyltransferase (ST8Sia) family, resident in the Golgi apparatus. These enzymes show high substrate specificity for the synthesis of sialylated chains of different lengths (ST8SiaIII for oligo sialic with fewer than seven monosaccharides and ST8SiaII/ST8SiaIV for higher degree of polymerization up to 400 units) [289]. It was demonstrated that the autopolysialylation of ST8SiaII/ST8SiaIV was required for recognition and subsequent polysialylation of substrates such as neuropilin-2 (NRP-2), SynCAM 1, and NCAM [290]. Although PSA is virtually absent in most adult tissues, it is re-expressed during the progression of some malignant tumors, such as neuroblastoma [291], breast cancer [292], laryngeal squamous cell carcinoma [293], pancreatic cancer [294], non-small cell lung cancer [295], and small cell lung cancer [296]. The most important physical feature of PSA is its anti-adhesive effect, favoring invasion and metastasis, but PSA chains also allow for the regulation of signal transduction via influencing the access of ligands to their receptors. For example, PSA-NCAM favors direct binding to fibroblast growth factor 2 (FGF2) and brain-derived neurotrophic factor (BDNF), thus supporting cellular growth and survival [297]. Moreover, polysialylated NCAM, NRP-2, and SynCAM 1 can stimulate various growth factor receptors in cancer cells, promoting oncogenesis via tyrosine kinase pathways, and immune escape of tumor cells by the interaction of PSA with inhibitory siglecs and protecting them from cytotoxicity [298].
The restricted detection of PSA in normal human tissues, in contrast to the abundant expression in some cancers, suggests the rationale for immunological therapy, and several highly specific monoclonal antibodies have been developed: MY.1E12 [299], OL.28 [300], MAB735 [301]. However, no clinical trial has yet been conducted for cancer therapy, although a recent construction and characterization of a chimeric human IgG with MAB735 specificity, drug-conjugated to the tubulin-binding mayntansinoid DM1, demonstrated rapid endocytosis and cytotoxicity against tumor cells expressing PSA, encouraging future evaluations of safety and efficacy in clinical trials [302].
Considering vaccine approaches, immunization with N-propionylated PSA-KLH conjugate plus immunological adjuvant QS21 in patients with small cell lung cancer demonstrated itself to be safe and able to induce high-titer antibody responses, with 10 μg being the lowest optimal immunogenic dose (NCT00004249) [79]. Following these results, N-propionylated PSA was incorporated into a pentavalent vaccine that included four other glycolipids overexpressed in small cell lung cancer (NCT01349647).

6. Polyvalent TACA Vaccines

Although monovalent vaccination has resulted in immunologic responses, the heterogeneity of tumor TACA expression suggests that a multivalent approach to generate a broader immune response is preferable. Different strategies have been evaluated for polyvalent TACA vaccine development. A tri-antigenic vaccine, containing Globo H, LeY, and Tn antigens, elicited immune response against each antigen in animal models, and it may result in the recruitment of both humoral and T cell-mediated immune responses against tumors in human patients [303]. A hexavalent vaccine, prepared using GM2, Globo H, LeY, glycosylated MUC-1-32mer and Tn and TF antigens in a clustered formation, KLH conjugated and mixed with QS-21, was evaluated in 30 high-risk prostate cancer patients, inducing significantly high antibody titers in at least two of the six antigens [304]. Another heptavalent vaccine, containing GM2, Globo-H, LeY, Tn-MUC1, and clusters of Tn, STn, and TF, was prepared, mixing TACA individually conjugated to KLH with the adjuvant QS21. Eight of nine patients developed responses against at least three antigens, mainly against Globo-H, Tn-Muc1, Tn, STn, and TF [305]. This vaccine was then improved, producing a unimolecular pentavalent vaccine containing the antigens Globo-H, GM2, STn, TF, and Tn conjugated to KLH, [306], and it was evaluated in a phase I clinical trial in ovarian cancer patients (NCT01248273) [80]. This unimolecular pentavalent vaccine demonstrated itself to be safe and immunogenic, and all but 1 of the 24 vaccinated patients (96%) exhibited antibody responses against at least one of these antigens, and 20 patients (83%) responded against at least three antigens after vaccination. The longest progression-free survival was observed in a patient who developed an IgM response to all five antigens present in the vaccine, while the only patient whose immune response was null to any of the antigens had the shortest progression-free survival. On the other hand, this strategy of polyvalent vaccines has been evaluated in other tumors such as breast cancer with Globo-H-GM2-Lewis-Y-MUC1-32(aa)-STn(c)-TF(c)-Tn(c)-KLH conjugate + QS21 (NCT00030823); and SCLC with GD2L, GD3L, Globo H, fucosyl GM1, and N-propionylated polysialic acid -KLH conjugate + OPT-821 (NCT01349647). A pilot study of a polyvalent vaccine-KLH conjugate + OPT-821, given in combination with bevacizumab, was conducted in patients with recurrent epithelial ovarian, fallopian tubes, or primary peritoneal cancer who are in second or greater clinical remission (NCT01223235), demonstrating it to be safe.

7. CAR-T Cells

CAR-T cells combine the specificity of an antibody with the cytolytic capacity of T cells in an MHC-independent manner [307]. These therapies have proved successful for hematological malignancies, but in solid tumors, multiple challenges need to be overcome, including identification of new tumor-associated antigens, the limited infiltration of CAR-T cells to tumor sites, and the immunosuppressive effect of the tumor microenvironment [308]. In this way, some TACA have demonstrated usefulness for antitumor CAR-T engineering, and the most notable developments have been achieved with anti-GD2, anti-MUC1/MUC1-Tn, and anti-STn.

7.1. CAR-T Cells Targeting GD2

At the beginning of the century, Rossig et al. published one of the first CAR-targeting GD2, demonstrating in vitro that first-generation CAR-T cells derived from 14.G2a antibodies recognized and lysed GD2 positive cancer cells in an antigen-specific manner [309]. The first clinical trial used Epstein Barr Virus (EBV)-specific T cells, engineered with first generation CAR targeting GD2, recruited 11 patients with neuroblastoma. This therapy was demonstrated to be safe, and four out of eight patients had evidence of tumor necrosis or regression, including a sustained completed remission [310]. A subsequent study of the same group reported the long-term analysis of the mentioned trial in a total of 19 patients, including the first cohort, demonstrating persistence of circulating CAR-T cells for at least four years [311]. A third generation of CAR-T cells targeting GD2, incorporating CD28 and OX40 signaling domains (GD2-CAR3 T cells), administered after lymphodepletion by cyclophosphamide and fludarabine, and in combination of the PD-1 inhibitor pembrolizumab, demonstrated itself to be safe, but with modest clinical responses [312]. A humanized scFv derived from the anti-GD2 K666 antibody was used for a second-generation CAR-T production, which was evaluated in a phase I study in refractory/relapsed neuroblastoma patients (NCT02761915), but no patients presented objective clinical response, although three of the six patients who received higher amounts of CAR-T cells in lymphodepleting conditions showed antitumor activity and signs of immune activation without on-target off-tumor neurotoxicity [313]. Recently, Yu et al. published preliminary results of a phase I clinical study (NCT02765243) using autologous fourth generation CAR-T cells engineered to expresses an anti-GD2 derived from humanized mouse 3F8 scFv, a CD3-zeta domain, a 41BB domain, a CD28 extracellular and intracellular domain and an inducible caspase 9 domain, named 4SCAR-GD2 T cells [314]. The inducible caspase 9 domain allows the elimination of CAR-T cells by administration of the agent AP1903 if necessary. For the first 12 enrolled patients, this therapy demonstrated an antitumor effect and manageable toxicities, indicating its potential to benefit children with refractory and/or recurrent neuroblastoma. Interestingly, it was recently observed that myeloid-derived suppressor cells (MDSC) increased in peripheral blood of neuroblastoma patients after administration of CAR-T cells targeting GD2 in the case of relapse and loss of response. Moreover, in patients treated with CAR-T cells, the frequency of circulating polymorphonuclear (PMN) MDSCs inversely correlates with the levels of CAR-T cells, resulting in more elevated levels in patients who did not respond or lost response to CAR-T treatment. This study highlights the prognostic value of PMN-MDSC and places it as an interesting target for therapeutic agents in order to protect CAR-T cells from detrimental actions (NCT03373097) [315].
Gene engineering of natural killer (NK) cells rather than T cells could be a safer alternative to targeting GD2-positive cancers because they have a shorter life span. CAR-NKT cells co-expressing a GD2-specific CAR and Il-15 have shown encouraging results in preclinical trials using several xenograft models of neuroblastoma. This CAR-NKT demonstrated superior in vivo persistence, tumor infiltration, and antitumor activity in a metastatic neuroblastoma mouse model, while no evident toxicity was observed, providing reasons for a first in-human CAR-NKT cell clinical trial (NCT03294954) [316]. Preliminary results from three patients demonstrate that this treatment is safe and suggest that CAR-NKT cells can be expanded to a clinical scale [317].
In addition to neuroblastoma, CAR-T cells targeting GD2 have been evaluated for treatment of other cancers expressing this ganglioside. Third-generation CAR-T cells derived from the anti-GD2 scFv 14.G2a showed antitumor activity in murine xenograft cancer models of melanoma [318], and Yu et al. demonstrated that second generation CAR-T cells with the same anti-GD2 specificity induced rapid tumor regression in melanoma patient-derived xenograft models [319]. However, although promising, this therapy exhibits some limitations in melanoma patients, including off-target toxicity and resistance, reviewed by Soltantoyeh et al. [320]. This is an active development field and there are currently 16 ongoing phase I/II clinical trials using CAR-T targeting GD2 in different cancers to improve clinical outcomes (NCT03373097, NCT04099797, NCT04539366, NCT04430595, NCT01953900, NCT03635632, NCT03423992, NCT04196413, NCT04429438, NCT03721068, NCT01822652, NCT04637503, NCT03294954, NCT03356782, NCT00085930, NCT04433221). Table 4 shows selected clinical trials of anti-TACA CAR-T cells.

7.2. CAR-T Cells Targeting MUC1/MUC1-Tn

CAR-T cell strategies targeting MUC1/MUC1-Tn have demonstrated encouraging results in preclinical studies using different in vivo cancer models. Since Wikie et al. demonstrated, for the first time, that anti-MUC1 CAR-T cells generated from the scFv of HMFG2 antibody present in vivo antitumor activity in a breast cancer xenograft [323], a growing number of reports show that this is an active and promising clinical investigation field. A CAR-T MUC1-Tn constructed by the scFv of 5E5 mAb demonstrated potent antitumor activity in preclinical xenograft models of T cell leukemia and pancreatic cancer [324]. Moreover, an interesting study demonstrated that second-generation CAR-T cells targeting MUC1 (derived from HMFG2 antibody) could efficiently suppress tumor growth in a patient derived xenograft (PDX) mouse model of NSCLC expressing MUC1 [325]. A phase I clinical trial using two different constructs of anti-MUC1 CAR-T cells derived from the SM3 antibody exhibited serum cytokine responses and no side-effects in a patient with metastatic seminal vesicle cancer [326]. Indeed, one of the CAR-T MUC1s used in this study effectively caused tumor necrosis, confirming the effectiveness of this therapeutic approach. Furthermore, CAR-T with the same specificity (SM3 scFv) but engineered PD-1 KO was evaluated in NSCLC (NCT03525782), demonstrating that the treatment is safe and well tolerated [321].
Another study explored the antitumor activity of two CAR-T MUC1 cells of second and fourth generation, including the last one the expression of IL-22. Both CAR-T cells, derived from an anti-MUC1 scFv (VH: HMFG2, VL: SM3), exhibited specific antitumor activity in a head and neck squamous cell carcinoma xenograft mouse model [327]. Considering that the immunosuppressive tumor microenvironment is one of the challenges that must be overcome in CAR-T therapy, a strategy for remodeling it could be CAR-T cells’ anti-MUC1 derived from HMFG2 antibody and expressing the costimulatory receptor TR2.41BB [328]. In vivo experiments show that this approach enhances the expansion, persistence, and antitumor activity of the anti-MUC1 CAR-T cells in a triple-negative breast cancer xenograft mouse model. Recently, a second-generation CAR γδ T cell using anti-MUC1-Tn scFv PG926 was reported, displaying significantly enhanced antigen-specific antitumor potency, both in vitro and in vivo, in a gastric carcinoma human model [329]. Another CAR-T MUC1 currently in clinical evaluation is huMNC2-CAR44, targeting MUC1*, the extra cellular domain of the cleaved form of MUC1, present on a large percentage of solid tumors, including breast cancer (NCT04020575). The investigators propose to evaluate safety and preliminary antitumor activity in patients with metastatic MUC1*-positive breast cancer [322]. Moreover, a multicentric clinical trial is evaluating a CART-TnMUC1 immunotherapy in solid tumors (triple-negative breast cancer, epithelial ovarian cancer, pancreatic cancer, and non-small cell lung cancer) and TnMUC1 positive multiple myeloma, designed to identify the dose and regimen at which CART-TnMUC1 cells can be safely administered intravenously following lymphodepletion (NCT04025216) [330]. In a second expansion phase enrolling 72 more patients, efficacy is due to be assessed. Finally, third-generation CAR-T cells targeting MUC1 but also multiple other targets (PSCA, TGFβ, HER2, Mesothelin, LeY, GPC3, AXL, EGFR, Claudin18.2, or B7-H3) were constructed, and clinical studies will be performed to test the anticancer function of these individual or combination CAR-T cells for immunotherapy in human cancer. This is an interesting strategy that could help overcome cancer heterogeneity, and it is currently being evaluated in lung cancer in an ongoing clinical trial (NCT03198052).

7.3. CAR-T Cells Targeting STn

The first CAR against STn was reported by Hombach et al. more than 20 years ago, and few years later, McGuiness et al. demonstrated that first generation of CAR-T cells targeting STn presented antitumoral activity in two murine xenograft models of endometrial and colon adenocarcinoma [331,332]. More recently, a dual-specific CAR, containing an antagonist anti-CD30 scFv derived from the HRS3 antibody and an anti-STn scFv, presented high levels of cytotoxic activity on LS-C colon cancer cells in vitro [333]. Antitumor activity of second-generation STn CAR-T cells, constructed with the humanized antibody CC49, was evaluated in xenograft models of peritoneal ovarian cancers [334]. In this study, regional intraperitoneal delivery of TAG72-BBζ CAR-T cells significantly reduced tumor growth and improved overall survival of mice. The strategy of targeting multiple antigens to improve effectiveness was evaluated by Shu et al. by generating dual CAR-T cells targeting STn and CD47 (overexpressed in multiple cancer types and expressed on many normal cells). In order to minimize the killing of heathy cells, they designed a truncated anti-CD47 CAR, devoid of intracellular signaling domain (ΔCD47), and a second generation anti-STn CAR derived from the antibody CC49 [335]. The CD47 CAR facilitates binding to CD47 positive cancer cells, increasing the chances of TAG72 positive cancer cells’ elimination via STn CAR. They used two ovarian cancer xenograft models, OVCAR-3 and MESOV, with high and low expressions of STn, respectively, but both cell lines expressed high levels of CD47. In these preclinical models, single STn CAR-T cell therapy was effective in delaying tumor growth in the OVCAR-3 cancer model, but it was unable to delay tumor growth in the MESOV cancer model. However, tumor growth was delayed in the MESOV cancer model using dual STn + ΔCD47 CAR-T cells [335].
In 2017, Hege et al. published the results of the first human clinical trials of CAR-T cells in the treatment of solid tumors, reporting data from two studies using first-generation CAR-T cells targeting STn in metastatic colorectal cancer patients [336]. Both studies lack clear evidence of on-target/off-tumor toxicity, but no clinical responses were observed. The authors also reported the trafficking to tumor tissue of CAR-T cells in one of three patients, and some patients induced an interfering antibody to the STn binding domain of humanized CC49, associated with rapid clearance of subsequent CAR-T cell infusions, suggesting the potential benefit of incorporating co-stimulatory domains in the CAR design.

8. Concluding Remarks and Perspectives

The glycan pattern expressed in cancer cells has a significant effect on tumor behavior. Different TACAs are established biomarkers, with recognized usefulness in clinical oncology. TACA overexpression on a wide range of cancer cells is an attractive target for immunotherapy developments. The main conclusions emerging from this review highlight that immunotherapy strategies targeting TACAs can be approved for cancer therapy, such as anti-GD2 antibodies in neuroblastoma treatment. While some TACAs are excellent tumor biomarkers, the development of immunotherapies targeting them is a major difficulty. Although some progress has been made in this field, no TACA-based vaccine has been approved thus far by the FDA. Thus, there remains a great need to improve the immunogenicity of TACAs, which is critical for cancer therapy, because they are unable to induce T cell-dependent immune responses by themselves. As well as improving strategies for TACA coupling to peptide epitopes that are able to be recognized by T cells, as well as novel polyvalent vaccine development and the characterization of strong and safe immune adjuvants, a promising approach could be vaccine developments based on chemically modified TACAs [337]. Some examples include an oxime-linked Tn analogue [338], a fluoro-substituted Sialyl-Tn [339], and a MUC1-β-TF [340].
Monoclonal antibodies represent one the most effective classes of biopharmaceuticals for cancer treatment. A variety of diverse and innovative approaches continue to be developed, based on the generation/modification of anti-TACA antibodies to obtain new and more effective antibody-based therapies (Figure 1). In addition to the usefulness of different naked mAbs in immunotherapy, other emerging promising approaches are bi-specific antibodies, antibody–drug conjugates, and CAR-T cells. Antibody engineering is a great opportunity for the discovery and development of novel therapeutic tools. One of the main limitations of anti-glycan antibodies is their low affinity for antigen recognition, but genetic engineering allows us to increase this affinity, improving antitumoral activity. For example, by using a yeast surface display, novel antibodies with increased affinity and better specificity were generated from mAb anti-SLeA, improving binding to human pancreatic and colon cancer cell lines and complement-dependent therapeutic efficacy [341]. This strategy could allow for improvements to the antitumor therapeutic potential of different anti-TACAs antibodies. In addition to antigen specificity, mAbs comprise Fc-mediated effector functions, such as the ADCC- and ADCP-activating Fcγ receptor (FcγR), which are of major importance for the therapeutic efficacy of mAbs. FcγR-mediated effector functions, optimized by strategies such as point mutations, altered glycosylation patterns, combinations of different Fc subclasses (cross isotypes), and Fc-truncation of the mAb, can address important improvements regarding clinical safety and efficacy [342]. Recently, the Fc of an anti-sialyl-di-LeA antibody was modified to incorporate mechanisms of tumor death in murine anti-glycan antibodies. Murine IgG3 mAbs targeting glycans often induce direct cell killing in the absence of immune effector cells, or complement, via a proinflammatory mechanism resembling oncotic necrosis. By identifying the key residues within mouse IgG3 responsible for noncovalent Fc interactions and transferring them into human IgG1, a chimeric human IgG1 was created, which exhibited increased in vitro and in vivo antitumor activity [343]. Following this strategy, the antitumor activity of different anti-TACA mAbs can also be improved.
New perspectives are ready for exploration in cancer therapy; for example, by removing some glycans from the cancer cell surface, we can improve its susceptibility to immunotherapy. Considering sialic acid residue involvement in tumor immune-evasion mechanisms, the laboratory of Carolyn Bertozzi developed a strategy to eliminate sialic acids of HER2+ breast cancer cells. Using mAb trastuzumab (anti-HER2), they developed an antibody–sialidase conjugate that was able to enhance cancer cell susceptibility to ADCC by selective desialylation of the glycocalyx of the targeted tumor cell [344]. Sialidase conjugation to trastuzumab also enhanced ADCC in tumor cells expressing moderate levels of HER2, suggesting a therapeutic strategy for cancer patients with lower levels of HER2 or trastuzumab resistance [344]. More recently, the authors found that removal of sialoglycans from cancer cells by this strategy could improve the antitumor immune response in mice through a siglec-E-dependent mechanism [345].
Many approaches that are effective in cancer treatment are based on the aberrant glycosylation of tumor cells. The expanding knowledge of cancer glycobiology and access to novel biotechnological tools determine that dynamic achievements in the field have growing clinical impact. In this review, we only analyzed aspects related to TACA targeting. Whatever the treatment options, they must be used in synergy with other anti-tumor strategies for the adequate personalization of therapy.

Author Contributions

Conceptualization, E.O.; writing—original draft preparation, N.B., A.P. and E.O.; writing—review and editing, N.B., A.P. and E.O. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Programa Grupos de Investigación, CSIC, Universidad de la República, Uruguay [number 908], and Fondo para la Convergencia Estructural del MERCOSUR [COF 03/11].

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Finck, A.; Gill, S.I.; June, C.H. Cancer immunotherapy comes of age and looks for maturity. Nat. Commun. 2020, 11, 3325. [Google Scholar] [CrossRef] [PubMed]
  2. Goydel, R.S.; Rader, C. Antibody-based cancer therapy. Oncogene 2021, 40, 3655–3664. [Google Scholar] [CrossRef] [PubMed]
  3. Ribas, A.; Wolchok, J.D. Cancer immunotherapy using checkpoint blockade. Science 2018, 359, 1350–1355. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. June, C.H.; O'Connor, R.S.; Kawalekar, O.U.; Ghassemi, S.; Milone, M.C. CAR T cell immunotherapy for human cancer. Science 2018, 359, 1361–1365. [Google Scholar] [CrossRef] [Green Version]
  5. Ohtsubo, K.; Marth, J.D. Glycosylation in cellular mechanisms of health and disease. Cell 2006, 126, 855–867. [Google Scholar] [CrossRef] [Green Version]
  6. Pinho, S.S.; Reis, C.A. Glycosylation in cancer: Mechanisms and clinical implications. Nat. Rev. Cancer 2015, 15, 540–555. [Google Scholar] [CrossRef]
  7. Groux-Degroote, S.; Guérardel, Y.; Delannoy, P. Gangliosides: Structures, Biosynthesis, Analysis, and Roles in Cancer. ChemBioChem 2017, 18, 1146–1154. [Google Scholar] [CrossRef] [Green Version]
  8. Thomas, D.; Rathinavel, A.K.; Radhakrishnan, P. Biochim Biophys Altered glycosylation in cancer: A promising target for biomarkers and therapeutics. Acta Rev. Cancer 2021, 1875, 188464. [Google Scholar] [CrossRef]
  9. Croci, D.O.; Cerliani, J.P.; Pinto, N.A.; Morosi, L.G.; Rabinovich, G.A. Regulatory role of glycans in the control of hypoxia-driven angiogenesis and sensitivity to anti-angiogenic treatment. Glycobiology 2014, 24, 1283–1290. [Google Scholar] [CrossRef] [Green Version]
  10. Mereiter, S.; Balmaña, M.; Campos, D.; Gomes, J.; Reis, C.A. Glycosylation in the Era of Cancer-Targeted Therapy: Where Are We Heading? Cancer Cell 2019, 36, 6–16. [Google Scholar] [CrossRef]
  11. Dusoswa, S.A.; Verhoeff, J.; Abels, E.; Méndez-Huergo, S.P.; Croci, D.O.; Kuijper, L.H.; de Miguel, E.; Wouters, V.M.C.J.; Best, M.G.; Rodriguez, E.; et al. Glioblastomas exploit truncated O-linked glycans for local and distant immune modulation via the macrophage galactose-type lectin. Proc. Natl. Acad. Sci. USA 2020, 117, 3693–3703. [Google Scholar] [CrossRef] [PubMed]
  12. Fuster, M.M.; Esko, J.D. The sweet and sour of cancer: Glycans as novel therapeutic targets. Nat. Rev. Cancer 2005, 5, 526–542. [Google Scholar] [CrossRef] [PubMed]
  13. Vankemmelbeke, M.; Chua, J.X.; Durrant, L.G. Cancer cell associated glycans as targets for immunotherapy. Oncoimmunology 2015, 5, e1061177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Rodríguez, E.; Schetters, S.T.T.; van Kooyk, Y. The tumour glyco-code as a novel immune checkpoint for immunotherapy. Nat. Rev. Immunol. 2018, 18, 204–211. [Google Scholar] [CrossRef] [PubMed]
  15. Anderluh, M.; Berti, F.; Bzducha-Wróbel, A.; Chiodo, F.; Colombo, C.; Compostella, F.; Durlik, K.; Ferhati, X.; Holmdahl, R.; Jovanovic, D.; et al. Emerging glyco-based strategies to steer immune responses. FEBS J. 2021, 288, 4746–4772. [Google Scholar] [CrossRef] [PubMed]
  16. Hakomori, S.; Zhang, Y. Glycosphingolipid antigens and cancer therapy. Chem. Biol. 1997, 4, 97–104. [Google Scholar] [CrossRef] [Green Version]
  17. Cheever, M.A.; Allison, J.P.; Ferris, A.S.; Finn, O.J.; Hastings, B.M.; Hecht, T.T.; Mellman, I.; Prindiville, S.A.; Viner, J.L.; Weiner, L.M.; et al. The prioritization of cancer antigens: A national cancer institute pilot project for the acceleration of translational research. Clin. Cancer Res. 2009, 15, 5323–5337. [Google Scholar] [CrossRef] [Green Version]
  18. Jin, K.T.; Lan, H.R.; Chen, X.Y.; Wang, S.B.; Ying, X.J.; Lin, Y.; Mou, X.Z. Recent advances in carbohydrate-based cancer vaccines. Biotechnol. Lett. 2019, 41, 641–650. [Google Scholar] [CrossRef]
  19. Ragupathi, G.; Liu, N.X.; Musselli, C.; Powell, S.; Lloyd, K.; Livingston, P.O. Antibodies against tumor cell glycolipids and proteins, but not mucins, mediate complement-dependent cytotoxicity. J. Immunol. 2005, 174, 5706–5712. [Google Scholar] [CrossRef] [Green Version]
  20. Hubert, P.; Heitzmann, A.; Viel, S.; Nicolas, A.; Sastre-Garau, X.; Oppezzo, P.; Pritsch, O.; Osinaga, E.; Amigorena, S. Antibody-dependent cell cytotoxicity synapses form in mice during tumor-specific antibody immunotherapy. Cancer Res. 2011, 71, 5134–5143. [Google Scholar] [CrossRef] [Green Version]
  21. Dhillon, S. Dinutuximab: First global approval. Drugs 2015, 75, 923–927. [Google Scholar] [CrossRef] [PubMed]
  22. Hakomori, S.I. Structure and function of glycosphingolipids and sphingolipids: Recollections and future trends. Biochim. Biophys. Acta 2008, 1780, 325–346. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. D'Angelo, G.; Capasso, S.; Sticco, L.; Russo, D. Glycosphingolipids: Synthesis and functions. FEBS J. 2013, 280, 6338–6353. [Google Scholar] [CrossRef] [PubMed]
  24. Hakomori, S.I. Glycosynaptic microdomains controlling tumor cell phenotype through alteration of cell growth, adhesion, and motility. FEBS Lett. 2010, 584, 1901–1906. [Google Scholar] [CrossRef] [Green Version]
  25. Yu, J.; Hung, J.T.; Wang, S.H.; Cheng, J.Y.; Yu, A.L. Targeting glycosphingolipids for cancer immunotherapy. FEBS Lett. 2020, 594, 3602–3618. [Google Scholar] [CrossRef]
  26. Yu, A.L.; Hung, J.T.; Ho, M.Y.; Yu, J. Alterations of Glycosphingolipids in Embryonic Stem Cell Differentiation and Development of Glycan-Targeting Cancer Immunotherapy. Stem Cells Dev. 2016, 25, 1532–1548. [Google Scholar] [CrossRef]
  27. Regina Todeschini, A.; Hakomori, S.I. Functional role of glycosphingolipids and gangliosides in control of cell adhesion, motility, and growth, through glycosynaptic microdomains. Biochim. Biophys. Acta 2008, 1780, 421–433. [Google Scholar] [CrossRef] [Green Version]
  28. Cumin, C.; Huang, Y.L.; Everest-Dass, A.; Jacob, F. Deciphering the Importance of Glycosphingolipids on Cellular and Molecular Mechanisms Associated with Epithelial-to-Mesenchymal Transition in Cancer. Biomolecules 2021, 11, 62. [Google Scholar] [CrossRef]
  29. Giussani, P.; Tringali, C.; Riboni, L.; Viani, P.; Venerando, B. Sphingolipids: Key regulators of apoptosis and pivotal players in cancer drug resistance. Int. J. Mol. Sci. 2014, 15, 4356–4392. [Google Scholar] [CrossRef] [Green Version]
  30. Nazha, B.; Inal, C.; Owonikoko, T.K. Disialoganglioside GD2 Expression in Solid Tumors and Role as a Target for Cancer Therapy. Front. Oncol. 2020, 10, 1000. [Google Scholar] [CrossRef]
  31. Yuki, N.; Yamada, M.; Tagawa, Y.; Takahashi, H.; Handa, S. Pathogenesis of the neurotoxicity caused by anti-GD2 antibody therapy. J. Neurol. Sci. 1997, 149, 127–130. [Google Scholar] [CrossRef]
  32. Cavdarli, S.; Groux-Degroote, S.; Delannoy, P. Gangliosides: The Double-Edge Sword of Neuro-Ectodermal Derived Tumors. Biomolecules 2019, 9, 311. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Yoshida, S.; Kawaguchi, H.; Sato, S.; Ueda, R.; Furukawa, K. An anti-GD2 monoclonal antibody enhances apoptotic effects of anti-cancer drugs against small cell lung cancer cells via JNK (c-Jun terminal kinase) activation. Jpn. J. Cancer Res. 2002, 93, 816–824. [Google Scholar] [CrossRef] [PubMed]
  34. Doronin, I.I.; Vishnyakova, P.A.; Kholodenko, I.V.; Ponomarev, E.D.; Ryazantsev, D.Y.; Molotkovskaya, I.M.; Kholodenko, R.V. Ganglioside GD2 in reception and transduction of cell death signal in tumor cells. BMC Cancer 2014, 14, 295. [Google Scholar] [CrossRef] [Green Version]
  35. Shurin, G.V.; Shurin, M.R.; Bykovskaia, S.; Shogan, J.; Lotze, M.T.; Barksdale, E.M. Jr. Neuroblastoma-derived gangliosides inhibit dendritic cell generation and function. Cancer Res. 2001, 61, 363–369. [Google Scholar] [PubMed]
  36. Yu, A.L.; Gilman, A.L.; Ozkaynak, M.F.; London, W.B.; Kreissman, S.G.; Chen, H.X.; Smith, M.; Anderson, B.; Villablanca, J.G.; Matthay, K.K.; et al. Anti-GD2 antibody with GM-CSF, interleukin-2, and isotretinoin for neuroblastoma. N. Engl. J. Med. 2010, 363, 1324–1334. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Albertini, M.R.; Hank, J.A.; Gadbaw, B.; Kostlevy, J.; Haldeman, J.; Schalch, H.; Gan, J.; Kim, K.; Eickhoff, J.; Gillies, S.D.; et al. Phase II trial of hu14.18-IL2 for patients with metastatic melanoma. Cancer Immunol. Immunother. 2012, 61, 2261–2271. [Google Scholar] [CrossRef] [Green Version]
  38. Cheung, N.K.; Guo, H.; Hu, J.; Tassev, D.V.; Cheung, I.Y. Humanizing murine IgG3 anti-GD2 antibody m3F8 substantially improves antibody-dependent cell-mediated cytotoxicity while retaining targeting in vivo. Oncoimmunology 2012, 1, 477–486. [Google Scholar] [CrossRef] [Green Version]
  39. Cheung, N.K.; Cheung, I.Y.; Kushner, B.H.; Ostrovnaya, I.; Chamberlain, E.; Kramer, K.; Modak, S. Murine anti-GD2 monoclonal antibody 3F8 combined with granulocyte-macrophage colony-stimulating factor and 13-cis-retinoic acid in high-risk patients with stage 4 neuroblastoma in first remission. J. Clin. Oncol. 2012, 30, 3264–3270. [Google Scholar] [CrossRef] [Green Version]
  40. Mueller, B.M.; Romerdahl, C.A.; Gillies, S.D.; Reisfeld, R.A. Enhancement of antibody-dependent cytotoxicity with a chimeric anti-GD2 antibody. J. Immunol. 1990, 144, 1382–1386. [Google Scholar]
  41. Barker, E.; Mueller, B.M.; Handgretinger, R.; Herter, M.; Yu, A.L.; Reisfeld, R.A. Effect of a chimeric anti-ganglioside GD2 antibody on cell-mediated lysis of human neuroblastoma cells. Cancer Res. 1991, 51, 144–149. [Google Scholar] [PubMed]
  42. Seeger, R.C. Immunology and immunotherapy of neuroblastoma. Semin. Cancer Biol. 2011, 21, 229–237. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Kushner, B.H.; Cheung, I.Y.; Modak, S.; Basu, E.M.; Roberts, S.S.; Cheung, N.K. Humanized 3F8 Anti-GD2 Monoclonal Antibody Dosing with Granulocyte-Macrophage Colony-Stimulating Factor in Patients with Resistant Neuroblastoma: A Phase 1 Clinical Trial. JAMA Oncol. 2018, 4, 1729–1735. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Cheung, I.Y.; Kushner, B.H.; Modak, S.; Basu, E.M.; Roberts, S.S.; Cheung, N.V. Phase I trial of anti-GD2 monoclonal antibody hu3F8 plus GM-CSF: Impact of body weight, immunogenicity and anti-GD2 response on pharmacokinetics and survival. Oncoimmunology 2017, 6, e1358331. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Hattinger, C.M.; Patrizio, M.P.; Magagnoli, F.; Luppi, S.; Serra, M. . An update on emerging drugs in osteosarcoma: Towards tailored therapies? Expert. Opin. Emerg. Drugs 2019, 24, 153–171. [Google Scholar] [CrossRef] [PubMed]
  46. Albertini, M.R.; Yang, R.K.; Ranheim, E.A.; Hank, J.A.; Zuleger, C.L.; Weber, S.; Neuman, H.; Hartig, G.; Weigel, T.; Mahvi, D.; et al. Pilot trial of the hu14.18-IL2 immunocytokine in patients with completely resectable recurrent stage III or stage IV melanoma. Cancer Immunol. Immunother. 2018, 67, 1647–1658. [Google Scholar] [CrossRef] [PubMed]
  47. Yang, R.K.; Kuznetsov, I.B.; Ranheim, E.A.; Wei, J.S.; Sindiri, S.; Gryder, B.E.; Gangalapudi, V.; Song, Y.K.; Patel, V.; Hank, J.A.; et al. Outcome-Related Signatures Identified by Whole Transcriptome Sequencing of Resectable Stage III/IV Melanoma Evaluated after Starting Hu14.18-IL2. Clin. Cancer Res. 2020, 26, 3296–3306. [Google Scholar] [CrossRef] [Green Version]
  48. Park, J.A.; Cheung, N.V. Targets and Antibody Formats for Immunotherapy of Neuroblastoma. J. Clin. Oncol. 2020, 38, 1836–1848. [Google Scholar] [CrossRef]
  49. Forero, A.; Shah, J.; Carlisle, R.; Triozzi, P.L.; LoBuglio, A.F.; Wang, W.Q.; Fujimori, M.; Conry, R.M. A phase I study of an anti-GD3 monoclonal antibody, KW-2871, in patients with metastatic melanoma. Cancer Biother. Radiopharm. 2006, 21, 561–568. [Google Scholar] [CrossRef]
  50. Tarhini, A.A.; Moschos, S.J.; Lin, Y.; Lin, H.M.; Sander, C.; Yin, Y.; Venhaus, R.; Gajewski, T.F.; Kirkwood, J.M. Safety and efficacy of the antiganglioside GD3 antibody ecromeximab (KW2871) combined with high-dose interferon-α2b in patients with metastatic melanoma. Melanoma Res. 2017, 27, 342–350. [Google Scholar] [CrossRef]
  51. Chu, Q.; Leighl, N.; Surmont, V.; Van Herpen, C.; Sibille, A.; Markman, B.; Clarke, S.; Juergens, R.; Acosta Rivera, M.; Andelkovic, V.; et al. Clinical Activity of BMS-986012, an AntieFucosyl-GM1 Monoclonal Antibody, Plus Nivolumab in Small Cell Lung Cancer. J. Thorac. Oncol. 2021, 16, S195. [Google Scholar] [CrossRef]
  52. Fiedler, W.; DeDosso, S.; Cresta, S.; Weidmann, J.; Tessari, A.; Salzberg, M.; Dietrich, B.; Baumeister, H.; Goletz, S.; Gianni, L.; et al. A phase I study of PankoMab-GEX, a humanised glyco-optimised monoclonal antibody to a novel tumour-specific MUC1 glycopeptide epitope in patients with advanced carcinomas. Eur. J. Cancer 2016, 63, 55–63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Ledermann, J.; Sehouli, J.; Zurawski, B.; Raspagliesi, F.; De Giorgi, U.; Banerjee, S.; Arranz Arija, J.; Romeo Marin, M.; Lisyanskaya, A.; Póka, R. LBA41A double-blind, placebo-controlled, randomized, phase 2 study to evaluate the efficacy and safety of switch maintenance therapy with the anti-TA-MUC1 antibody PankoMab-GEX after chemotherapy in patients with recurrent epithelial ovarian carcinoma. Ann. Oncol. 2017, 28 (Suppl. 5), v626. [Google Scholar] [CrossRef] [Green Version]
  54. Garralda, E.; Del Conte, G.; Macchini, M.; Matos, I.; Klinghammer, K.F.; Saavedra, O.; Fiedler, W.M.; Rolling, C.C.; Kebenko, M.; Raspagliesi, F.; et al. Activity results of the GATTO study, a phase Ib study combining the anti-TA-MUC1 antibody gatipotuzumab with the anti-EGFR tomuzotuximab or panitumumab in patients with refractory solid tumors. J. Clin. Oncol. 2021, 39, 2522. [Google Scholar] [CrossRef]
  55. McQuarrie, S.A.; MacLean, G.D.; Boniface, G.R.; Golberg, K.; McEwan, A.J. Radioimmunoscintigraphy in patients with breast adenocarcinoma using technetium-99m labelled monoclonal antibody 170H.82: Report of a phase II study. Eur J. Nucl. Med. 1997, 24, 381–389. [Google Scholar] [CrossRef]
  56. Gupta, S.; McDonald, J.D.; Ayabe, R.I.; Khan, T.M.; Gamble, L.A.; Sinha, S.; Hannah, C.; Blakely, A.M.; Davis, J.L.; Hernandez, J.M. Targeting CA 19-9 with a humanized monoclonal antibody at the time of surgery may decrease recurrence rates for patients undergoing resections for pancreatic cancer, cholangiocarcinoma and metastatic colorectal cancer. J. Gastrointest. Oncol. 2020, 11, 231–235. [Google Scholar] [CrossRef]
  57. Krug, L.M.; Milton, D.T.; Jungbluth, A.A.; Chen, L.C.; Quaia, E.; Pandit-Taskar, N.; Nagel, A.; Jones, J.; Kris, M.G.; Finn, R.; et al. Targeting Lewis Y (Le(y)) in small cell lung cancer with a humanized monoclonal antibody, hu3S193: A pilot trial testing two dose levels. J. Thorac. Oncol. 2007, 2, 947–952. [Google Scholar] [CrossRef]
  58. Smaletz, O.; Diz, M.D.; do Carmo, C.C.; Sabbaga, J.; Cunha-Junior, G.F.; Azevedo, S.J.; Maluf, F.C.; Barrios, C.H.; Costa, R.L.; Fontana, A.G.; et al. A phase II trial with anti-Lewis-Y monoclonal antibody (hu3S193) for the treatment of platinum resistant/refractory ovarian, fallopian tube and primary peritoneal carcinoma. Gynecol. Oncol. 2015, 138, 272–277. [Google Scholar] [CrossRef]
  59. Ross, H.J.; Hart, L.L.; Swanson, P.M.; Rarick, M.U.; Figlin, R.A.; Jacobs, A.D.; McCune, D.E.; Rosenberg, A.H.; Baron, A.D.; Grove, L.E.; et al. A randomized, multicenter study to determine the safety and efficacy of the immunoconjugate SGN-15 plus docetaxel for the treatment of non-small cell lung carcinoma. Lung Cancer. 2006, 54, 69–77. [Google Scholar] [CrossRef] [Green Version]
  60. Rader, C. Bispecific antibodies in cancer immunotherapy. Curr. Opin. Biotechnol. 2020, 65, 9–16. [Google Scholar] [CrossRef]
  61. Rashidijahanabad, Z.; Huang, X. Recent advances in tumor associated carbohydrate antigen based chimeric antigen receptor T cells and bispecific antibodies for anti-cancer immunotherapy. Semin. Immunol. 2020, 47, 101390. [Google Scholar] [CrossRef]
  62. Michon, J.; Perdereau, B.; Brixy, F.; Moutel, S.; Fridman, W.H.; Teillaud, J.L. In vivo targeting of human neuroblastoma xenograft by anti-GD2/anti-Fc gamma RI (CD64) bispecific antibody. Eur. J. Cancer 1995, 31A, 631–636. [Google Scholar] [CrossRef]
  63. Cheng, M.; Ahmed, M.; Xu, H.; Cheung, N.K. Structural design of disialoganglioside GD2 and CD3-bispecific antibodies to redirect T cells for tumor therapy. Int. J. Cancer 2015, 136, 476–486. [Google Scholar] [CrossRef] [Green Version]
  64. Cheng, M.; Santich, B.H.; Xu, H.; Ahmed, M.; Huse, M.; Cheung, N.K. Successful engineering of a highly potent single-chain variable-fragment (scFv) bispecific antibody to target disialoganglioside (GD2) positive tumors. Oncoimmunology 2016, 5, e1168557. [Google Scholar] [CrossRef] [Green Version]
  65. Xu, H.; Cheng, M.; Guo, H.; Chen, Y.; Huse, M.; Cheung, N.K. Retargeting T cells to GD2 pentasaccharide on human tumors using Bispecific humanized antibody. Cancer Immunol. Res. 2015, 3, 266–277. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Zirngibl, F.; Ivasko, S.M.; Grunewald, L.; Klaus, A.; Schwiebert, S.; Ruf, P.; Lindhofer, H.; Astrahantseff, K.; Andersch, L.; Schulte, J.H.; et al. GD2-directed bispecific trifunctional antibody outperforms dinutuximab beta in a murine model for aggressive metastasized neuroblastoma. J. Immunother. Cancer 2021, 9, e002923. [Google Scholar] [CrossRef] [PubMed]
  67. Kushner, B.H.; Cheung, I.Y.; Modak, S.; Kramer, K.; Ragupathi, G.; Cheung, N.K. Phase I trial of a bivalent gangliosides vaccine in combination with β-glucan for high-risk neuroblastoma in second or later remission. Clin. Cancer Res. 2014, 20, 1375–1382. [Google Scholar] [CrossRef] [Green Version]
  68. Cheung, I.Y.; Cheung, N.V.; Modak, S.; Mauguen, A.; Feng, Y.; Basu, E.; Roberts, S.S.; Ragupathi, G.; Kushner, B.H. Survival Impact of Anti-GD2 Antibody Response in a Phase II Ganglioside Vaccine Trial Among Patients With High-Risk Neuroblastoma With Prior Disease Progression. J. Clin. Oncol. 2021, 39, 215–226. [Google Scholar] [CrossRef] [PubMed]
  69. Grant, S.C.; Kris, M.G.; Houghton, A.N.; Chapman, P.B. Long survival of patients with small cell lung cancer after adjuvant treatment with the anti-idiotypic antibody BEC2 plus Bacillus Calmette-Guérin. Clin. Cancer Res. 1999, 5, 1319–1323. [Google Scholar]
  70. Giaccone, G.; Debruyne, C.; Felip, E.; Chapman, P.B.; Grant, S.C.; Millward, M.; Thiberville, L.; D'addario, G.; Coens, C.; Rome, L.S.; et al. Phase III study of adjuvant vaccination with Bec2/bacille Calmette-Guerin in responding patients with limited-disease small-cell lung cancer (European Organisation for Research and Treatment of Cancer 08971-08971B; Silva Study). J. Clin. Oncol. 2005, 23, 6854–6864. [Google Scholar] [CrossRef]
  71. Bottomley, A.; Debruyne, C.; Felip, E.; Millward, M.; Thiberville, L.; D'Addario, G.; Rome, L.; Zatloukal, P.; Coens, C.; Giaccone, G. Symptom and quality of life results of an international randomised phase III study of adjuvant vaccination with Bec2/BCG in responding patients with limited disease small-cell lung cancer. Eur. J. Cancer 2008, 44, 2178–2184. [Google Scholar] [CrossRef] [PubMed]
  72. Cacciavillano, W.; Sampor, C.; Venier, C.; Gabri, M.R.; de Dávila, M.T.; Galluzzo, M.L.; Guthmann, M.D.; Fainboim, L.; Alonso, D.F.; Chantada, G.L. A Phase I Study of the Anti-Idiotype Vaccine Racotumomab in Neuroblastoma and Other Pediatric Refractory Malignancies. Pediatr. Blood Cancer. 2015, 62, 2120–2124. [Google Scholar] [CrossRef] [PubMed]
  73. Huang, C.S.; Yu, A.L.; Tseng, L.M.; Chow, L.W.C.; Hou, M.F.; Hurvitz, S.A.; Schwab, R.B.; Murray, J.; Chang, H.K.; Chang, H.T.; et al. Globo H-KLH vaccine adagloxad simolenin (OBI-822)/OBI-821 in patients with metastatic breast cancer: Phase II randomized, placebo-controlled study. J. Immunother. Cancer 2020, 8, e000342. [Google Scholar] [CrossRef] [PubMed]
  74. Rosenbaum, P.; Artaud, C.; Bay, S.; Ganneau, C.; Campone, M.; Delaloge, S.; Gourmelon, C.; Loirat, D.; Medioni, J.; Pein, F.; et al. The fully synthetic glycopeptide MAG-Tn3 therapeutic vaccine induces tumor-specific cytotoxic antibodies in breast cancer patients. Cancer Immunol. Immunother. 2020, 69, 703–716. [Google Scholar] [CrossRef]
  75. Ibrahim, N.K.; Murray, J.L.; Zhou, D.; Mittendorf, E.A.; Sample, D.; Tautchin, M.; Miles, D. Survival Advantage in Patients with Metastatic Breast Cancer Receiving Endocrine Therapy plus Sialyl Tn-KLH Vaccine: Post Hoc Analysis of a Large Randomized Trial. J. Cancer 2013, 4, 577–584. [Google Scholar] [CrossRef] [Green Version]
  76. Miles, D.; Roché, H.; Martin, M.; Perren, T.J.; Cameron, D.A.; Glaspy, J.; Dodwell, D.; Parker, J.; Mayordomo, J.; Tres, A.; et al. Phase III multicenter clinical trial of the sialyl-TN (STn)-keyhole limpet hemocyanin (KLH) vaccine for metastatic breast cancer. Oncologist 2011, 16, 1092–2100. [Google Scholar] [CrossRef] [Green Version]
  77. Slovin, S.F.; Ragupathi, G.; Musselli, C.; Fernandez, C.; Diani, M.; Verbel, D.; Danishefsky, S.; Livingston, P.; Scher, H.I. Thomsen-Friedenreich (TF) antigen as a target for prostate cancer vaccine: Clinical trial results with TF cluster (c)-KLH plus QS21 conjugate vaccine in patients with biochemically relapsed prostate cancer. Cancer Immunol. Immunother. 2005, 54, 694–702. [Google Scholar] [CrossRef]
  78. Diab, A.; Ragupathi, G.; Scholz, W.W.; Panageas, K.; Hudis, C.; Livingston, P.O.; Gilewski, T. A pilot study of vaccination with sialyl Lewisa (sLea)–keyhole limpet hemocyanin (KLH) conjugate plus the immunologic adjuvant QS-21 in metastatic breast cancer patients (pts). J. Clin. Oncol. 2011, 29, 2599. [Google Scholar] [CrossRef]
  79. Krug, L.M.; Ragupathi, G.; Hood, C.; George, C.; Hong, F.; Shen, R.; Abrey, L.; Jennings, H.J.; Kris, M.G.; Livingston, P.O. Immunization with N-propionyl polysialic acid-KLH conjugate in patients with small cell lung cancer is safe and induces IgM antibodies reactive with SCLC cells and bactericidal against group B meningococci. Cancer Immunol. Immunother. 2012, 61, 9–18. [Google Scholar] [CrossRef] [Green Version]
  80. O'Cearbhaill, R.E.; Ragupathi, G.; Zhu, J.; Wan, Q.; Mironov, S.; Yang, G.; Spassova, M.K.; Iasonos, A.; Kravetz, S.; Ouerfelli, O.; et al. A Phase I Study of Unimolecular Pentavalent (Globo-H-GM2-sTn-TF-Tn) Immunization of Patients with Epithelial Ovarian, Fallopian Tube, or Peritoneal Cancer in First Remission. Cancers 2016, 8, 46. [Google Scholar] [CrossRef] [Green Version]
  81. Sipione, S.; Monyror, J.; Galleguillos, D.; Steinberg, N.; Kadam, V. Gangliosides in the Brain: Physiology, Pathophysiology and Therapeutic Applications. Front. Neurosci. 2020, 14, 572965. [Google Scholar] [CrossRef] [PubMed]
  82. Kohla, G.; Stockfleth, E.; Schauer, R. Gangliosides with O-acetylated sialic acids in tumors of neuroectodermal origin. Neurochem. Res. 2002, 27, 583–592. [Google Scholar] [CrossRef]
  83. Itokazu, Y.; Yu, R. Glycolipid Antigens in Neural Stem Cells. In Neural Surface Antigens; Pruszak, J., Ed.; Academic Press: Cambridge, MA, USA, 2015; pp. 91–102. [Google Scholar] [CrossRef]
  84. Yeh, S.C.; Wang, P.Y.; Lou, Y.W.; Khoo, K.H.; Hsiao, M.; Hsu, T.L.; Wong, C.H. Glycolipid GD3 and GD3 synthase are key drivers for glioblastoma stem cells and tumorigenicity. Proc. Natl. Acad. Sci. USA 2016, 113, 5592–5597. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Liu, J.; Zheng, X.; Pang, X.; Li, L.; Wang, J.; Yang, C.; Du, G. Ganglioside GD3 synthase (GD3S), a novel cancer drug target. Acta Pharm. Sin. B 2018, 8, 713–720. [Google Scholar] [CrossRef]
  86. Nakakuma, H.; Horikawa, K.; Kawaguchi, T.; Hidaka, M.; Nagakura, S.; Hirai, S.; Kageshita, T.; Ono, T.; Kagimoto, T.; Iwamori, M.; et al. Common phenotypic expression of gangliosides GM3 and GD3 in normal human tissues and neoplastic skin lesions. Jpn. J. Clin. Oncol. 1992, 22, 308–312. [Google Scholar] [PubMed]
  87. Ohkawa, Y.; Miyazaki, S.; Hamamura, K.; Kambe, M.; Miyata, M.; Tajima, O.; Ohmi, Y.; Yamauchi, Y.; Furukawa, K.; Furukawa, K. Ganglioside GD3 enhances adhesion signals and augments malignant properties of melanoma cells by recruiting integrins to glycolipid-enriched microdomains. J. Biol. Chem. 2010, 285, 27213–27223. [Google Scholar] [CrossRef] [Green Version]
  88. Ramos, R.I.; Bustos, M.A.; Wu, J.; Jones, P.; Chang, S.C.; Kiyohara, E.; Tran, K.; Zhang, X.; Stern, S.L.; Izraely, S.; et al. Upregulation of cell surface GD3 ganglioside phenotype is associated with human melanoma brain metastasis. Mol. Oncol. 2020, 14, 1760–1778. [Google Scholar] [CrossRef]
  89. Dippold, W.G.; Lloyd, K.O.; Li, L.T.; Ikeda, H.; Oettgen, H.F.; Old, L.J. Cell surface antigens of human malignant melanoma: Definition of six antigenic systems with mouse monoclonal antibodies. Proc. Natl. Acad. Sci. USA 1980, 77, 6114–6118. [Google Scholar] [CrossRef] [Green Version]
  90. Hellström, I.; Brankovan, V.; Hellström, K.E. Strong antitumor activities of IgG3 antibodies to a human melanoma-associated ganglioside. Proc. Natl. Acad. Sci. USA 1985, 82, 1499–1502. [Google Scholar] [CrossRef] [Green Version]
  91. Ohta, S.; Honda, A.; Tokutake, Y.; Yoshida, H.; Hanai, N. Antitumor effects of a novel monoclonal antibody with high binding affinity to ganglioside GD3. Cancer Immunol. Immunother. 1993, 36, 260–266. [Google Scholar] [CrossRef]
  92. Real, F.X.; Houghton, A.N.; Albino, A.P.; Cordon-Cardo, C.; Melamed, M.R.; Oettgen, H.F.; Old, L.J. Surface antigens of melanomas and melanocytes defined by mouse monoclonal antibodies: Specificity analysis and comparison of antigen expression in cultured cells and tissues. Cancer Res. 1985, 45, 4401–4411. [Google Scholar]
  93. Nasi, M.L.; Meyers, M.; Livingston, P.O.; Houghton, A.N.; Chapman, P.B. Anti-melanoma effects of R24, a monoclonal antibody against GD3 ganglioside. Melanoma Res. 1997, 7 (Suppl. 2), S155–S162. [Google Scholar] [CrossRef] [PubMed]
  94. Chapman, P.B.; Gillies, S.D.; Houghton, A.N.; Reilly, R.M. Mapping effector functions of a monoclonal antibody to GD3 by characterization of a mouse-human chimeric antibody. Cancer Immunol. Immunother. 1994, 39, 198–204. [Google Scholar] [CrossRef] [PubMed]
  95. Scott, A.M.; Lee, F.T.; Hopkins, W.; Cebon, J.S.; Wheatley, J.M.; Liu, Z.; Smyth, F.E.; Murone, C.; Sturrock, S.; MacGregor, D.; et al. Specific targeting, biodistribution, and lack of immunogenicity of chimeric anti-GD3 monoclonal antibody KM871 in patients with metastatic melanoma: Results of a phase I trial. J. Clin. Oncol. 2001, 19, 3976–3987. [Google Scholar] [CrossRef] [PubMed]
  96. Chapman, P.B.; Houghton, A.N. Induction of IgG antibodies against GD3 ganglioside in rabbits by an anti-idiotypic monoclonal antibody. J. Clin. Investig. 1991, 88, 186–192. [Google Scholar] [CrossRef] [Green Version]
  97. McCaffery, M.; Yao, T.J.; Williams, L.; Livingston, P.O.; Houghton, A.N.; Chapman, P.B. Immunization of melanoma patients with BEC2 anti-idiotypic monoclonal antibody that mimics GD3 ganglioside: Enhanced immunogenicity when combined with adjuvant. Clin. Cancer Res. 1996, 2, 679–686. [Google Scholar]
  98. Brezicka, F.T.; Olling, S.; Nilsson, O.; Bergh, J.; Holmgren, J.; Sörenson, S.; Yngvason, F.; Lindholm, L. Immunohistological detection of fucosyl-GM1 ganglioside in human lung cancer and normal tissues with monoclonal antibodies. Cancer Res. 1989, 49, 1300–1305. [Google Scholar]
  99. Zhang, S.; Cordon-Cardo, C.; Zhang, H.S.; Reuter, V.E.; Adluri, S.; Hamilton, W.B.; Lloyd, K.O.; Livingston, P.O. Selection of tumor antigens as targets for immune attack using immunohistochemistry: I. Focus on gangliosides. Int. J. Cancer 1997, 73, 42–49. [Google Scholar] [CrossRef]
  100. Groux-Degroote, S.; Delannoy, P. Cancer-Associated Glycosphingolipids as Tumor Markers and Targets for Cancer Immunotherapy. Int. J. Mol. Sci. 2021, 22, 6145. [Google Scholar] [CrossRef]
  101. Dickler, M.N.; Ragupathi, G.; Liu, N.X.; Musselli, C.; Martino, D.J.; Miller, V.A.; Kris, M.G.; Brezicka, F.T.; Livingston, P.O.; Grant, S.C. Immunogenicity of a fucosyl-GM1-keyhole limpet hemocyanin conjugate vaccine in patients with small cell lung cancer. Clin. Cancer Res. 1999, 5, 2773–2779. [Google Scholar]
  102. Krug, L.M.; Ragupathi, G.; Hood, C.; Kris, M.G.; Miller, V.A.; Allen, J.R.; Keding, S.J.; Danishefsky, S.J.; Gomez, J.; Tyson, L.; et al. Vaccination of patients with small-cell lung cancer with synthetic fucosyl GM-1 conjugated to keyhole limpet hemocyanin. Clin. Cancer Res. 2004, 10, 6094–6100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Brezicka, F.T.; Holmgren, J.; Kalies, I.; Lindholm, L. Tumor-cell killing by MAbs against fucosyl GM1, a ganglioside antigen associated with small-cell lung carcinoma. Int. J. Cancer 1991, 49, 911–918. [Google Scholar] [CrossRef] [PubMed]
  104. Brezicka, F.; Einbeigi, Z.; Bergman, B. Functional assessment in vitro of human-complement-dependent antibody-induced cytotoxicity of neoplastic cells. Cancer Immunol. Immunother. 2000, 49, 235–242. [Google Scholar] [CrossRef]
  105. Ponath, P.; Menezes, D.; Pan, C.; Chen, B.; Oyasu, M.; Strachan, D.; LeBlanc, H.; Sun, H.; Wang, X.T.; Rangan, V.S.; et al. A Novel, Fully Human Anti-fucosyl-GM1 Antibody Demonstrates Potent In Vitro and In Vivo Antitumor Activity in Preclinical Models of Small Cell Lung Cancer. Clin. Cancer Res. 2018, 24, 5178–5189. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Tsuchida, T.; Saxton, R.E.; Morton, D.L.; Irie, R.F. Gangliosides of human melanoma. J. Natl. Cancer Inst. 1987, 78, 45–54. [Google Scholar] [CrossRef] [PubMed]
  107. Zheng, C.; Terreni, M.; Sollogoub, M.; Zhang, Y. Ganglioside GM3 and Its Role in Cancer. Curr. Med. Chem. 2019, 26, 2933–2947. [Google Scholar] [CrossRef] [PubMed]
  108. Gu, Y.; Zhang, J.; Mi, W.; Yang, J.; Han, F.; Lu, X.; Yu, W. Silencing of GM3 synthase suppresses lung metastasis of murine breast cancer cells. Breast Cancer Res. 2008, 10, R1. [Google Scholar] [CrossRef] [Green Version]
  109. Tringali, C.; Silvestri, I.; Testa, F.; Baldassari, P.; Anastasia, L.; Mortarini, R.; Anichini, A.; López-Requena, A.; Tettamanti, G.; Venerando, B. Molecular subtyping of metastatic melanoma based on cell ganglioside metabolism profiles. BMC Cancer 2014, 14, 560. [Google Scholar] [CrossRef] [Green Version]
  110. Hirabayashi, Y.; Hamaoka, A.; Matsumoto, M.; Matsubara, T.; Tagawa, M.; Wakabayashi, S.; Taniguchi, M. Syngeneic monoclonal antibody against melanoma antigen with interspecies cross-reactivity recognizes GM3, a prominent ganglioside of B16 melanoma. J. Biol. Chem. 1985, 260, 13328–13333. [Google Scholar] [CrossRef]
  111. Nores, G.A.; Dohi, T.; Taniguchi, M.; Hakomori, S. Density-dependent recognition of cell surface GM3 by a certain anti-melanoma antibody, and GM3 lactone as a possible immunogen: Requirements for tumor-associated antigen and immunogen. J. Immunol. 1987, 139, 3171–3176. [Google Scholar]
  112. Liu, J.W.; Sun, P.; Yan, Q.; Paller, A.S.; Gerami, P.; Ho, N.; Vashi, N.; Le Poole, I.C.; Wang, X.Q. De-N-acetyl GM3 promotes melanoma cell migration and invasion through urokinase plasminogen activator receptor signaling-dependent MMP-2 activation. Cancer Res. 2009, 69, 8662–8669. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Fernandez, L.E.; Gabri, M.R.; Guthmann, M.D.; Gomez, R.E.; Gold, S.; Fainboim, L.; Gomez, D.E.; Alonso, D.F. NGcGM3 ganglioside: A privileged target for cancer vaccines. Clin. Dev. Immunol. 2010, 2010, 814397. [Google Scholar] [CrossRef] [PubMed]
  114. Irie, A.; Koyama, S.; Kozutsumi, Y.; Kawasaki, T.; Suzuki, A. The molecular basis for the absence of N-glycolylneuraminic acid in humans. J. Biol. Chem. 1998, 273, 15866–15871. [Google Scholar] [CrossRef] [Green Version]
  115. Blanco, R.; Quintana, Y.; Blanco, D.; Cedeño, M.; Rengifo, C.E.; Frómeta, M.; Ríos, M.; Rengifo, E.; Carr, A. Tissue Reactivity of the 14F7 Mab Raised against N-Glycolyl GM3 Ganglioside in Tumors of Neuroectodermal, Mesodermal, and Epithelial Origin. J. Biomark. 2013, 2013, 02417. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Samraj, A.N.; Läubli, H.; Varki, N.; Varki, A. Involvement of a non-human sialic Acid in human cancer. Front. Oncol. 2014, 4, 33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Oliva, J.P.; Valdés, Z.; Casacó, A.; Pimentel, G.; González, J.; Alvarez, I.; Osorio, M.; Velazco, M.; Figueroa, M.; Ortiz, R.; et al. Clinical evidences of GM3 (NeuGc) ganglioside expression in human breast cancer using the 14F7 monoclonal antibody labelled with (99m)Tc. Breast Cancer Res Treat. 2006, 96, 115–121. [Google Scholar] [CrossRef]
  118. Blanco, R.; Domínguez, E.; Morales, O.; Blanco, D.; Martínez, D.; Rengifo, C.E.; Viada, C.; Cedeño, M.; Rengifo, E.; Carr, A. Prognostic Significance of N-Glycolyl GM3 Ganglioside Expression in Non-Small Cell Lung Carcinoma Patients: New Evidences. Patholog. Res. Int. 2015, 2015, 132326. [Google Scholar] [CrossRef] [Green Version]
  119. Labrada, M.; Dorvignit, D.; Hevia, G.; Rodríguez-Zhurbenko, N.; Hernández, A.M.; Vázquez, A.M.; Fernández, L.E. GM3(Neu5Gc) ganglioside: An evolution fixed neoantigen for cancer immunotherapy. Semin. Oncol. 2018, 45, 41–51. [Google Scholar] [CrossRef]
  120. Carr, A.; Mullet, A.; Mazorra, Z.; Vázquez, A.M.; Alfonso, M.; Mesa, C.; Rengifo, E.; Pérez, R.; Fernández, L.E. A mouse IgG1 monoclonal antibody specific for N-glycolyl GM3 ganglioside recognized breast and melanoma tumors. Hybridoma 2000, 19, 241–247. [Google Scholar] [CrossRef]
  121. Fernández-Marrero, Y.; Roque-Navarro, L.; Hernández, T.; Dorvignit, D.; Molina-Pérez, M.; González, A.; Sosa, K.; López-Requena, A.; Pérez, R.; de Acosta, C.M. A cytotoxic humanized anti-ganglioside antibody produced in a murine cell line defective of N-glycolylated-glycoconjugates. Immunobiology 2011, 216, 1239–1247. [Google Scholar] [CrossRef]
  122. Dorvignit, D.; García-Martínez, L.; Rossin, A.; Sosa, K.; Viera, J.; Hernández, T.; Mateo, C.; Hueber, A.O.; Mesa, C.; López-Requena, A. Antitumor and cytotoxic properties of a humanized antibody specific for the GM3(Neu5Gc) ganglioside. Immunobiology 2015, 220, 1343–1350. [Google Scholar] [CrossRef]
  123. Dorvignit, D.; Boligan, K.F.; Relova-Hernández, E.; Clavell, M.; López, A.; Labrada, M.; Simon, H.U.; López-Requena, A.; Mesa, C.; von Gunten, S. Antitumor effects of the GM3(Neu5Gc) ganglioside-specific humanized antibody 14F7hT against Cmah-transfected cancer cells. Sci. Rep. 2019, 9, 9921. [Google Scholar] [CrossRef] [PubMed]
  124. Estevez, F.; Carr, A.; Solorzano, L.; Valiente, O.; Mesa, C.; Barroso, O.; Sierra, G.V.; Fernandez, L.E. Enhancement of the immune response to poorly immunogenic gangliosides after incorporation into very small size proteoliposomes (VSSP). Vaccine 1999, 18, 190–197. [Google Scholar] [CrossRef]
  125. Osorio, M.; Gracia, E.; Reigosa, E.; Hernandez, J.; de la Torre, A.; Saurez, G.; Perez, K.; Viada, C.; Cepeda, M.; Carr, A.; et al. Effect of vaccination with N-glycolyl GM3/VSSP vaccine by subcutaneous injection in patients with advanced cutaneous melanoma. Cancer Manag. Res. 2012, 4, 341–345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Carr, A.; Rodríguez, E.; Arango, M. del C.; Camacho, R.; Osorio, M.; Gabri, M.; Carrillo, G.; Valdés, Z.; Bebelagua, Y.; Pérez, R.; et al. Immunotherapy of advanced breast cancer with a heterophilic ganglioside (NeuGcGM3) cancer vaccine. J. Clin. Oncol. 2003, 21, 1015–1021. [Google Scholar] [CrossRef] [PubMed]
  127. Mulens, V.; de la Torre, A.; Marinello, P.; Rodríguez, R.; Cardoso, J.; Díaz, R.; O'Farrill, M.; Macias, A.; Viada, C.; Saurez, G.; et al. Immunogenicity and safety of a NeuGcGM3 based cancer vaccine: Results from a controlled study in metastatic breast cancer patients. Hum. Vaccines 2010, 6, 736–744. [Google Scholar] [CrossRef] [Green Version]
  128. Pérez, K.; Osorio, M.; Hernández, J.; Carr, A.; Fernández, L.E. NGcGM3/VSSP vaccine as treatment for melanoma patients. Hum Vaccines Immunother. 2013, 9, 1237–1240. [Google Scholar] [CrossRef] [Green Version]
  129. de la Torre, A.; Pérez, K.; Vega, A.M.; Santiesteban, E.; Ruiz, R.; Hernández, L.; Durrutí, D.; Viada, C.E.; Sánchez, L.; Álvarez, M.; et al. Superior Efficacy and Safety of a Nonemulsive Variant of the NGcGM3/VSSP Vaccine in Advanced Breast Cancer Patients. Breast Cancer 2016, 10, 5–11. [Google Scholar] [CrossRef] [Green Version]
  130. Jerne, N.K. Towards a network theory of the immune system. Ann. Immunol. 1974, 125C, 373–389. [Google Scholar]
  131. Foon, K.A.; Lutzky, J.; Baral, R.N.; Yannelli, J.R.; Hutchins, L.; Teitelbaum, A.; Kashala, O.L.; Das, R.; Garrison, J.; Reisfeld, R.A.; et al. Clinical and immune responses in advanced melanoma patients immunized with an anti-idiotype antibody mimicking disialoganglioside GD2. J. Clin. Oncol. 2000, 18, 376–384. [Google Scholar] [CrossRef]
  132. Kohler, H.; Pashov, A.; Kieber-Emmons, T. The Promise of Anti-idiotype Revisited. Front. Immunol. 2019, 10, 808. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Vázquez, A.M.; Pérez, A.; Hernández, A.M.; Macías, A.; Alfonso, M.; Bombino, G.; Pérez, R. Syngeneic anti-idiotypic monoclonal antibodies to an anti-NeuGc-containing ganglioside monoclonal antibody. Hybridoma 1998, 17, 527–534. [Google Scholar] [CrossRef]
  134. Segatori, V.I.; Cuello, H.A.; Gulino, C.A.; Albertó, M.; Venier, C.; Guthmann, M.D.; Demarco, I.A.; Alonso, D.F.; Gabri, M.R. Antibody-dependent cell-mediated cytotoxicity induced by active immunotherapy based on racotumomab in non-small cell lung cancer patients. Cancer Immunol. Immunother. 2018, 67, 1285–1296. [Google Scholar] [CrossRef] [PubMed]
  135. Guthmann, M.D.; Castro, M.A.; Cinat, G.; Venier, C.; Koliren, L.; Bitton, R.J.; Vázquez, A.M.; Fainboim, L. Cellular and humoral immune response to N-Glycolyl-GM3 elicited by prolonged immunotherapy with an anti-idiotypic vaccine in high-risk and metastatic breast cancer patients. J. Immunother. 2006, 29, 215–223. [Google Scholar] [CrossRef] [PubMed]
  136. Säljö, K.; Barone, A.; Mölne, J.; Rydberg, L.; Teneberg, S.; Breimer, M.E. HLA and Histo-Blood Group Antigen Expression in Human Pluripotent Stem Cells and their Derivatives. Sci. Rep. 2017, 7, 13072. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Zhang, S.; Zhang, H.S.; Reuter, V.E.; Slovin, S.F.; Scher, H.I.; Livingston, P.O. Expression of potential target antigens for immunotherapy on primary and metastatic prostate cancers. Clin. Cancer Res. 1998, 4, 295–302. [Google Scholar]
  138. Cheng, J.Y.; Wang, S.H.; Lin, J.; Tsai, Y.C.; Yu, J.; Wu, J.C.; Hung, J.T.; Lin, J.J.; Wu, Y.Y.; Yeh, K.T.; et al. Globo-H ceramide shed from cancer cells triggers translin-associated factor X-dependent angiogenesis. Cancer Res. 2014, 74, 6856–6866. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  139. Slovin, S.F.; Ragupathi, G.; Adluri, S.; Ungers, G.; Terry, K.; Kim, S.; Spassova, M.; Bornmann, W.G.; Fazzari, M.; Dantis, L.; et al. Carbohydrate vaccines in cancer: Immunogenicity of a fully synthetic globo H hexasaccharide conjugate in man. Proc. Natl. Acad. Sci. USA 1999, 96, 5710–5715. [Google Scholar] [CrossRef] [Green Version]
  140. Gilewski, T.; Ragupathi, G.; Bhuta, S.; Williams, L.J.; Musselli, C.; Zhang, X.F.; Bornmann, W.G.; Spassova, M.; Bencsath, K.P.; Panageas, K.S.; et al. Immunization of metastatic breast cancer patients with a fully synthetic globo H conjugate: A phase I trial. Proc. Natl. Acad. Sci. USA 2001, 98, 3270–3275. [Google Scholar] [CrossRef] [Green Version]
  141. Chuang, P.K.; Hsiao, M.; Hsu, T.L.; Chang, C.F.; Wu, C.Y.; Chen, B.R.; Huang, H.W.; Liao, K.S.; Chen, C.C.; Chen, C.L.; et al. Signaling pathway of globo-series glycosphingolipids and β1,3-galactosyltransferase V (β3GalT5) in breast cancer. Proc. Natl. Acad. Sci. USA 2019, 116, 3518–3523. [Google Scholar] [CrossRef] [Green Version]
  142. Ruggiero, F.M.; Rodríguez-Walker, M.; Daniotti, J.L. Exploiting the internalization feature of an antibody against the glycosphingolipid SSEA-4 to deliver immunotoxins in breast cancer cells. Immunol. Cell Biol. 2020, 98, 187–202. [Google Scholar] [CrossRef] [PubMed]
  143. Yang, M.C.; Shia, C.S.; Li, W.F.; Wang, C.C.; Chen, I.J.; Huang, T.Y.; Chen, Y.J.; Chang, H.W.; Lu, C.H.; Wu, Y.C.; et al. Preclinical Studies of OBI-999: A Novel Globo H-Targeting Antibody-Drug Conjugate. Mol. Cancer Ther. 2021, 20, 1121–1132. [Google Scholar] [CrossRef] [PubMed]
  144. Cervoni, G.E.; Cheng, J.J.; Stackhouse, K.A.; Heimburg-Molinaro, J.; Cummings, R.D. O-glycan recognition and function in mice and human cancers. Biochem. J. 2020, 477, 1541–1564. [Google Scholar] [CrossRef] [PubMed]
  145. Bennett, E.P.; Mandel, U.; Clausen, H.; Gerken, T.A.; Fritz, T.A.; Tabak, L.A. Control of mucin-type O-glycosylation: A classification of the polypeptide GalNAc-transferase gene family. Glycobiology 2012, 22, 736–756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Babino, A.; Oppezzo, P.; Bianco, S.; Barrios, E.; Berois, N.; Navarrete, H.; Osinaga, E. Tn antigen is a pre-cancerous biomarker in breast tissue and serum in n-nitrosomethylurea-induced rat mammary carcinogenesis. Int. J. Cancer 2000, 86, 753–759. [Google Scholar] [CrossRef]
  147. Berriel, E.; Hill, M.; Barcia, J.J.; Ubillos, L.; Gonzalez, M.; Detjen, G.; Rondan, M.; Navarrete, H.; Osinaga, E. Oncol Simple mucin-type cancer associated antigens are pre-cancerous biomarkers during 1,2-dimethylhydrazine-induced rat colon carcinogenesis. Oncol. Rep. 2005, 14, 219–227. [Google Scholar] [PubMed]
  148. An, G.; Wei, B.; Xia, B.; McDaniel, J.M.; Ju, T.; Cummings, R.D.; Braun, J.; Xia, L. Increased susceptibility to colitis and colorectal tumors in mice lacking core 3-derived O-glycans. J. Exp. Med. 2007, 204, 1417–1429. [Google Scholar] [CrossRef]
  149. Chia, J.; Goh, G.; Bard, F. Short O-GalNAc glycans: Regulation and role in tumor development and clinical perspectives. Biochim. Biophys. Acta 2016, 1860, 1623–1639. [Google Scholar] [CrossRef] [Green Version]
  150. Fu, C.; Zhao, H.; Wang, Y.; Cai, H.; Xiao, Y.; Zeng, Y.; Chen, H. Tumor-associated antigens: Tn antigen, sTn antigen, and T antigen. HLA 2016, 88, 275–286. [Google Scholar] [CrossRef]
  151. Munkley, J. The Role of Sialyl-Tn in Cancer. Int. J. Mol. Sci. 2016, 17, 275. [Google Scholar] [CrossRef] [Green Version]
  152. Ju, T.; Lanneau, G.S.; Gautam, T.; Wang, Y.; Xia, B.; Stowell, S.R.; Willard, M.T.; Wang, W.; Xia, J.Y.; Zuna, R.E.; et al. Human tumor antigens Tn and sialyl Tn arise from mutations in Cosmc. Cancer Res. 2008, 68, 1636–1646. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Mi, R.; Song, L.; Wang, Y.; Ding, X.; Zeng, J.; Lehoux, S.; Aryal, R.P.; Wang, J.; Crew, V.K.; van Die, I.; et al. Epigenetic silencing of the chaperone Cosmc in human leukocytes expressing Tn antigen. J. Biol. Chem. 2012, 287, 41523–41533. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Gill, D.J.; Chia, J.; Senewiratne, J.; Bard, F. Regulation of O-glycosylation through Golgi-to-ER relocation of initiation enzymes. J. Cell Biol. 2010, 189, 843–858. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Gill, D.J.; Tham, K.M.; Chia, J.; Wang, S.C.; Steentoft, C.; Clausen, H.; Bard-Chapeau, E.A.; Bard, F.A. Initiation of GalNAc-type O-glycosylation in the endoplasmic reticulum promotes cancer cell invasiveness. Proc. Natl. Acad. Sci. USA 2013, 110, E3152–E3161. [Google Scholar] [CrossRef] [Green Version]
  156. Takahashi, H.K.; Metoki, R.; Hakomori, S. Immunoglobulin G3 monoclonal antibody directed to Tn antigen (tumor-associated alpha-N-acetylgalactosaminyl epitope) that does not cross-react with blood group A antigen. Cancer Res. 1988, 48, 4361–4367. [Google Scholar]
  157. Springer, G.F.; Desai, P.R.; Wise, W.; Carlstedt, S.C.; Tegtmeyer, H.; Stein, R.; Scanlon, E.F. Pancarcinoma T and Tn epitopes: Autoimmunogens and diagnostic markers that reveal incipient carcinomas and help establish prognosis. Immunol. Ser. 1990, 53, 587–612. [Google Scholar]
  158. Numata, Y.; Nakada, H.; Fukui, S.; Kitagawa, H.; Ozaki, K.; Inoue, M.; Kawasaki, T.; Funakoshi, I.; Yamashina, I. A monoclonal antibody directed to Tn antigen. Biochem. Biophys. Res. Commun. 1990, 170, 981–985. [Google Scholar] [CrossRef]
  159. King, M.J.; Parsons, S.F.; Wu, A.M.; Jones, N. Immunochemical studies on the differential binding properties of two monoclonal antibodies reacting with Tn red cells. Transfusion 1991, 31, 142–149. [Google Scholar] [CrossRef]
  160. Thurnher, M.; Clausen, H.; Sharon, N.; Berger, E.G. Use of O-glycosylation-defective human lymphoid cell lines and flow cytometry to delineate the specificity of Moluccella laevis lectin and monoclonal antibody 5F4 for the Tn antigen (GalNAc alpha 1-O-Ser/Thr). Immunol. Lett. 1993, 36, 239–243. [Google Scholar] [CrossRef]
  161. Terasawa, K.; Furumoto, H.; Kamada, M.; Aono, T. Expression of Tn and sialyl-Tn antigens in the neoplastic transformation of uterine cervical epithelial cells. Cancer Res. 1996, 56, 2229–2232. [Google Scholar]
  162. Reis, C.A.; Sørensen, T.; Mandel, U.; David, L.; Mirgorodskaya, E.; Roepstorff, P.; Kihlberg, J.; Hansen, J.E.; Clausen, H. Development and characterization of an antibody directed to an alpha-N-acetyl-D-galactosamine glycosylated MUC2 peptide. Glycoconj. J. 1998, 15, 51–62. [Google Scholar] [CrossRef] [PubMed]
  163. Osinaga, E.; Bay, S.; Tello, D.; Babino, A.; Pritsch, O.; Assemat, K.; Cantacuzene, D.; Nakada, H.; Alzari, P. Analysis of the fine specificity of Tn-binding proteins using synthetic glycopeptide epitopes and a biosensor based on surface plasmon resonance spectroscopy. FEBS Lett. 2000, 469, 24–28. [Google Scholar] [CrossRef] [Green Version]
  164. Möller, H.; Serttas, N.; Paulsen, H.; Burchell, J.M.; Taylor-Papadimitriou, J.; Meyer, B. NMR-based determination of the binding epitope and conformational analysis of MUC-1 glycopeptides and peptides bound to the breast cancer-selective monoclonal antibody SM3. Eur. J. Biochem. 2002, 269, 1444–1455. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Schietinger, A.; Philip, M.; Yoshida, B.A.; Azadi, P.; Liu, H.; Meredith, S.C.; Schreiber, H. A mutant chaperone converts a wild-type protein into a tumor-specific antigen. Science 2006, 314, 304–308. [Google Scholar] [CrossRef] [PubMed]
  166. Danielczyk, A.; Stahn, R.; Faulstich, D.; Löffler, A.; Märten, A.; Karsten, U.; Goletz, S. PankoMab: A potent new generation anti-tumour MUC1 antibody. Cancer Immunol. Immunother. 2006, 55, 1337–1347. [Google Scholar] [CrossRef] [PubMed]
  167. Tarp, M.A.; Sørensen, A.L.; Mandel, U.; Paulsen, H.; Burchell, J.; Taylor-Papadimitriou, J.; Clausen, H. Identification of a novel cancer-specific immunodominant glycopeptide epitope in the MUC1 tandem repeat. Glycobiology 2007, 17, 197–209. [Google Scholar] [CrossRef]
  168. Ando, H.; Matsushita, T.; Wakitani, M.; Sato, T.; Kodama-Nishida, S.; Shibata, K.; Shitara, K.; Ohta, S. Mouse-human chimeric anti-Tn IgG1 induced anti-tumor activity against Jurkat cells in vitro and in vivo. Biol. Pharm. Bull. 2008, 31, 1739–1744. [Google Scholar] [CrossRef] [Green Version]
  169. Danussi, C.; Coslovi, A.; Campa, C.; Mucignat, M.T.; Spessotto, P.; Uggeri, F.; Paoletti, S.; Colombatti, A. A newly generated functional antibody identifies Tn antigen as a novel determinant in the cancer cell-lymphatic endothelium interaction. Glycobiology 2009, 19, 1056–1067. [Google Scholar] [CrossRef] [Green Version]
  170. Welinder, C.; Baldetorp, B.; Borrebaeck, C.; Fredlund, B.M.; Jansson, B. A new murine IgG1 anti-Tn monoclonal antibody with in vivo anti-tumor activity. Glycobiology 2011, 21, 1097–1107. [Google Scholar] [CrossRef] [Green Version]
  171. Trabbic, K.R.; Kleski, K.A.; Shi, M.; Bourgault, J.P.; Prendergast, J.M.; Dransfield, D.T.; Andreana, P.R. Production of a mouse monoclonal IgM antibody that targets the carbohydrate Thomsen-nouveau cancer antigen resulting in in vivo and in vitro tumor killing. Cancer Immunol. Immunother. 2018, 67, 1437–1447. [Google Scholar] [CrossRef]
  172. Steentoft, C.; Fuhrmann, M.; Battisti, F.; Van Coillie, J.; Madsen, T.D.; Campos, D.; Halim, A.; Vakhrushev, S.Y.; Joshi, H.J.; Schreiber, H.; et al. A strategy for generating cancer-specific monoclonal antibodies to aberrant O-glycoproteins: Identification of a novel dysadherin-Tn antibody. Glycobiology 2019, 29, 307–319. [Google Scholar] [CrossRef] [PubMed]
  173. Matsumoto, Y.; Kudelka, M.R.; Hanes, M.S.; Lehoux, S.; Dutta, S.; Jones, M.B.; Stackhouse, K.A.; Cervoni, G.E.; Heimburg-Molinaro, J.; Smith, D.F.; et al. Identification of Tn antigen O-GalNAc-expressing glycoproteins in human carcinomas using novel anti-Tn recombinant antibodies. Glycobiology 2020, 30, 282–300. [Google Scholar] [CrossRef] [PubMed]
  174. Matsuura, H.; Takio, K.; Titani, K.; Greene, T.; Levery, S.B.; Salyan, M.E.; Hakomori, S. The oncofetal structure of human fibronectin defined by monoclonal antibody FDC-6. Unique structural requirement for the antigenic specificity provided by a glycosylhexapeptide. J. Biol. Chem. 1988, 263, 3314–3322. [Google Scholar] [CrossRef]
  175. Grinstead, J.S.; Koganty, R.R.; Krantz, M.J.; Longenecker, B.M.; Campbell, A.P. Effect of glycosylation on MUC1 humoral immune recognition: NMR studies of MUC1 glycopeptide-antibody interactions. Biochemistry 2002, 41, 9946–9961. [Google Scholar] [CrossRef]
  176. Canals Hernaez, D.; Hughes, M.R.; Dean, P.; Bergqvist, P.; Samudio, I.; Blixt, O.; Wiedemeyer, K.; Li, Y.; Bond, C.; Cruz, E.; et al. PODO447: A novel antibody to a tumor-restricted epitope on the cancer antigen podocalyxin. J. Immunother. Cancer 2020, 8, e001128. [Google Scholar] [CrossRef]
  177. Medeiros, A.; Bianchi, S.; Calvete, J.J.; Balter, H.; Bay, S.; Robles, A.; Cantacuzène, D.; Nimtz, M.; Alzari, P.M.; Osinaga, E. Biochemical and functional characterization of the Tn-specific lectin from Salvia sclarea seeds. Eur. J. Biochem. 2000, 267, 1434–1440. [Google Scholar] [CrossRef] [Green Version]
  178. Nakada, H.; Inoue, M.; Numata, Y.; Tanaka, N.; Funakoshi, I.; Fukui, S.; Mellors, A.; Yamashina, I. Epitopic structure of Tn glycophorin A for an anti-Tn antibody (MLS 128). Proc. Natl. Acad. Sci. USA 1993, 90, 2495–2499. [Google Scholar] [CrossRef] [Green Version]
  179. Mazal, D.; Lo-Man, R.; Bay, S.; Pritsch, O.; Dériaud, E.; Ganneau, C.; Medeiros, A.; Ubillos, L.; Obal, G.; Berois, N. Monoclonal antibodies toward different Tn-amino acid backbones display distinct recognition patterns on human cancer cells. Implications for effective immuno-targeting of cancer. Cancer Immunol. Immunother. 2013, 62, 1107–1122. [Google Scholar] [CrossRef]
  180. Manimala, J.C.; Li, Z.; Jain, A.; VedBrat, S.; Gildersleeve, J.C. Carbohydrate array analysis of anti-Tn antibodies and lectins reveals unexpected specificities: Implications for diagnostic and vaccine development. ChemBioChem 2005, 6, 2229–2241. [Google Scholar] [CrossRef]
  181. Blixt, O.; Lavrova, O.I.; Mazurov, D.V.; Cló, E.; Kracun, S.K.; Bovin, N.V.; Filatov, A.V. Analysis of Tn antigenicity with a panel of new IgM and IgG1 monoclonal antibodies raised against leukemic cells. Glycobiology 2012, 22, 529–542. [Google Scholar] [CrossRef] [Green Version]
  182. Lavrsen, K.; Madsen, C.B.; Rasch, M.G.; Woetmann, A.; Ødum, N.; Mandel, U.; Clausen, H.; Pedersen, A.E.; Wandall, H.H. Aberrantly glycosylated MUC1 is expressed on the surface of breast cancer cells and a target for antibody-dependent cell-mediated cytotoxicity. Glycoconj. J. 2013, 30, 227–236. [Google Scholar] [CrossRef] [PubMed]
  183. Gong, Y.; Klein Wolterink, R.G.J.; Gulaia, V.; Cloosen, S.; Ehlers, F.A.I.; Wieten, L.; Graus, Y.F.; Bos, G.M.J.; Germeraad, W.T.V. Defucosylation of Tumor-Specific Humanized Anti-MUC1 Monoclonal Antibody Enhances NK Cell-Mediated Anti-Tumor Cell Cytotoxicity. Cancers 2021, 13, 2579. [Google Scholar] [CrossRef] [PubMed]
  184. Morita, N.; Yajima, Y.; Asanuma, H.; Nakada, H.; Fujita-Yamaguchi, Y. Inhibition of cancer cell growth by anti-Tn monoclonal antibody MLS128. Biosci. Trends. 2009, 3, 32–37. [Google Scholar] [PubMed]
  185. von Mensdorff-Pouilly, S.; Petrakou, E.; Kenemans, P.; van Uffelen, K.; Verstraeten, A.A.; Snijdewint, F.G.; van Kamp, G.J.; Schol, D.J.; Reis, C.A.; Price, M.R.; et al. Reactivity of natural and induced human antibodies to MUC1 mucin with MUC1 peptides and n-acetylgalactosamine (GalNAc) peptides. Int. J. Cancer 2000, 86, 702–712. [Google Scholar] [CrossRef]
  186. Oppezzo, P.; Osinaga, E.; Tello, D.; Bay, S.; Cantacuzene, D.; Irigoín, F.; Ferreira, A.; Roseto, A.; Cayota, A.; Alzari, P.; et al. Production and functional characterization of two mouse/human chimeric antibodies with specificity for the tumor-associated Tn-antigen. Hybridoma 2000, 19, 229–339. [Google Scholar] [CrossRef]
  187. Pancino, G.F.; Osinaga, E.; Vorauher, W.; Kakouche, A.; Mistro, D.; Charpin, C.; Roseto, A. Production of a monoclonal antibody as immunohistochemical marker on paraffin embedded tissues using a new immunization method. Hybridoma 1990, 9, 389–395. [Google Scholar] [CrossRef]
  188. Sedlik, C.; Heitzmann, A.; Viel, S.; Ait Sarkouh, R.; Batisse, C.; Schmidt, F.; De La Rochere, P.; Amzallag, N.; Osinaga, E.; Oppezzo, P.; et al. Effective antitumor therapy based on a novel antibody-drug conjugate targeting the Tn carbohydrate antigen. Oncoimmunology 2016, 5, e1171434. [Google Scholar] [CrossRef] [Green Version]
  189. Castro, A.; Berois, N.; Malanga, A.; Ortega, C.; Oppezzo, P.; Pristch, O.; Mombrú, A.W.; Osinaga, E.; Pardo, H. Docetaxel in chitosan-based nanocapsules conjugated with an anti-Tn antigen mouse/human chimeric antibody as a promising targeting strategy of lung tumors. Int. J. Biol. Macromol. 2021, 182, 806–814. [Google Scholar] [CrossRef]
  190. Springer, G.F. Immunoreactive T and Tn epitopes in cancer diagnosis, prognosis, and immunotherapy. J. Mol. Med. 1997, 75, 594–602. [Google Scholar] [CrossRef]
  191. Slovin, S.F.; Ragupathi, G.; Musselli, C.; Olkiewicz, K.; Verbel, D.; Kuduk, S.D.; Schwarz, J.B.; Sames, D.; Danishefsky, S.; Livingston, P.O.; et al. Fully synthetic carbohydrate-based vaccines in biochemically relapsed prostate cancer: Clinical trial results with alpha-N-acetylgalactosamine-O-serine/threonine conjugate vaccine. J. Clin. Oncol. 2003, 21, 4292–4298. [Google Scholar] [CrossRef]
  192. Kuduk, S.; Schwarz, J.; Chen, X.T.; Glunz, P.; Sames, D.; Ragupathi, G.; Livingston, P.O.; Danishefsky, S. Synthetic and immunological studies of clustered modes of mucin-related Tn and TF O-linked antigens: The preparation of a glycopeptide-based vaccines for clinical trials against prostate cancer. J. Am. Chem. Soc. 1998, 120, 12474–12485. [Google Scholar] [CrossRef]
  193. Lo-Man, R.; Vichier-Guerre, S.; Bay, S.; Deriaud, E.; Cantacuzene, D.; Leclerc, C. Anti-tumor immunity provided by a synthetic multiple antigenic glycopeptide displaying a tri-Tn glycotope. J. Immunol. 2001, 166, 2849–2854. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Laubreton, D.; Bay, S.; Sedlik, C.; Artaud, C.; Ganneau, C.; Dériaud, E.; Viel, S.; Puaux, A.L.; Amigorena, S.; Gérard, C.; et al. The fully synthetic MAG-Tn3 therapeutic vaccine containing the tetanus toxoid-derived TT830-844 universal epitope provides anti-tumor immunity. Cancer Immunol. Immunother. 2016, 65, 315–325. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  195. Saeland, E.; van Vliet, S.J.; Bäckström, M.; van den Berg, V.C.; Geijtenbeek, T.B.; Meijer, G.A.; van Kooyk, Y. The C-type lectin MGL expressed by dendritic cells detects glycan changes on MUC1 in colon carcinoma. Cancer Immunol. Immunother. 2007, 56, 1225–1236. [Google Scholar] [CrossRef]
  196. da Costa, V.; van Vliet, S.J.; Carasi, P.; Frigerio, S.; García, P.A.; Croci, D.O.; Festari, M.F.; Costa, M.; Landeira, M.; Rodríguez-Zraquia, S.A.; et al. The Tn antigen promotes lung tumor growth by fostering immunosuppression and angiogenesis via interaction with Macrophage Galactose-type lectin 2 (MGL2). Cancer Lett. 2021, 518, 72–81. [Google Scholar] [CrossRef]
  197. Cornelissen, L.A.M.; Blanas, A.; Zaal, A.; van der Horst, J.C.; Kruijssen, L.J.W.; O'Toole, T.; van Kooyk, Y.; van Vliet, S.J. Tn Antigen Expression Contributes to an Immune Suppressive Microenvironment and Drives Tumor Growth in Colorectal Cancer. Front. Oncol. 2020, 10, 1622. [Google Scholar] [CrossRef]
  198. Pinho, S.; Marcos, N.T.; Ferreira, B.; Carvalho, A.S.; Oliveira, M.J.; Santos-Silva, F.; Harduin-Lepers, A.; Reis, C.A. Biological significance of cancer-associated sialyl-Tn antigen: Modulation of malignant phenotype in gastric carcinoma cells. Cancer Lett. 2007, 249, 157–170. [Google Scholar] [CrossRef]
  199. Julien, S.; Adriaenssens, E.; Ottenberg, K.; Furlan, A.; Courtand, G.; Vercoutter-Edouart, A.S.; Hanisch, F.G.; Delannoy, P.; Le Bourhis, X. ST6GalNAc I expression in MDA-MB-231 breast cancer cells greatly modifies their O-glycosylation pattern and enhances their tumourigenicity. Glycobiology 2006, 16, 54–64. [Google Scholar] [CrossRef] [Green Version]
  200. Ozaki, H.; Matsuzaki, H.; Ando, H.; Kaji, H.; Nakanishi, H.; Ikehara, Y.; Narimatsu, H. Enhancement of metastatic ability by ectopic expression of ST6GalNAcI on a gastric cancer cell line in a mouse model. Clin. Exp. Metastasis 2012, 29, 229–238. [Google Scholar] [CrossRef] [Green Version]
  201. Carrascal, M.A.; Severino, P.F.; Guadalupe Cabral, M.; Silva, M.; Ferreira, J.A.; Calais, F.; Quinto, H.; Pen, C.; Ligeiro, D.; Santos, L.L.; et al. Sialyl Tn-expressing bladder cancer cells induce a tolerogenic phenotype in innate and adaptive immune cells. Mol. Oncol. 2014, 8, 753–765. [Google Scholar] [CrossRef]
  202. Colcher, D.; Hand, P.H.; Nuti, M.; Schlom, J. A spectrum of monoclonal antibodies reactive with human mammary tumor cells. Proc. Natl. Acad. Sci. USA 1981, 78, 3199–3203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  203. Johnson, V.G.; Schlom, J.; Paterson, A.J.; Bennett, J.; Magnani, J.L.; Colcher, D. Analysis of a human tumor-associated glycoprotein (TAG-72) identified by monoclonal antibody B72.3. Cancer Res. 1986, 46, 850–857. [Google Scholar] [PubMed]
  204. Muraro, R.; Kuroki, M.; Wunderlich, D.; Poole, D.J.; Colcher, D.; Thor, A.; Greiner, J.W.; Simpson, J.F.; Molinolo, A.; Noguchi, P.; et al. Generation and characterization of B72.3 second generation monoclonal antibodies reactive with the tumor-associated glycoprotein 72 antigen. Cancer Res. 1988, 48, 4588–4596. [Google Scholar] [PubMed]
  205. Kjeldsen, T.; Clausen, H.; Hirohashi, S.; Ogawa, T.; Iijima, H.; Hakomori, S. Preparation and characterization of monoclonal antibodies directed to the tumor-associated O-linked sialosyl-2—6 alpha-N-acetylgalactosaminyl (sialosyl-Tn) epitope. Cancer Res. 1988, 48, 2214–2220. [Google Scholar]
  206. Zhang, S.; Walberg, L.; Ogata, S.; Itzkowitz, S.H.; Koganty, R.R.; Reddish, M.; Gandhi, S.S.; Longenecker, B.M.; Lloyd, K.O.; Livingston, P.O. Immune sera and monoclonal antibodies define two configurations for the sialyl Tn tumor antigen. Cancer Res. 1995, 55, 3364–3368. [Google Scholar]
  207. Ogata, S.; Koganty, R.; Reddish, M.; Longenecker, B.M.; Chen, A.; Perez, C.; Itzkowitz, S.H. ; Different modes of sialyl-Tn expression during malignant transformation of human colonic mucosa. Glycoconj. J. 1998, 15, 29–35. [Google Scholar] [CrossRef]
  208. Reddish, M.A.; Jackson, L.; Koganty, R.R.; Qiu, D.; Hong, W.; Longenecker, B.M. Specificities of anti-sialyl-Tn and anti-Tn monoclonal antibodies generated using novel clustered synthetic glycopeptide epitopes. Glycoconj. J. 1997, 14, 549–560. [Google Scholar] [CrossRef]
  209. Colcher, D.; Minelli, M.F.; Roselli, M.; Muraro, R.; Simpson-Milenic, D.; Schlom, J. Radioimmunolocalization of human carcinoma xenografts with B72.3 second generation monoclonal antibodies. Cancer Res. 1988, 48, 4597–4603. [Google Scholar]
  210. Kashmiri, S.V.; Shu, L.; Padlan, E.A.; Milenic, D.E.; Schlom, J.; Hand, P.H. Generation, characterization, and in vivo studies of humanized anticarcinoma antibody CC49. Hybridoma 1995, 14, 461–473. [Google Scholar] [CrossRef]
  211. Meredith, R.F.; Partridge, E.E.; Alvarez, R.D.; Khazaeli, M.B.; Plott, G.; Russell, C.D.; Wheeler, R.H.; Liu, T.; Grizzle, W.E.; Schlom, J.; et al. Intraperitoneal radioimmunotherapy of ovarian cancer with lutetium-177-CC49. J. Nucl. Med. 1996, 37, 1491–1496. [Google Scholar]
  212. Alvarez, R.D.; Partridge, E.E.; Khazaeli, M.B.; Plott, G.; Austin, M.; Kilgore, L.; Russell, C.D.; Liu, T.; Grizzle, W.E.; Schlom, J.; et al. Intraperitoneal radioimmunotherapy of ovarian cancer with 177Lu-CC49: A phase I/II study. Gynecol. Oncol. 1997, 65, 94–101. [Google Scholar] [CrossRef] [PubMed]
  213. Meredith, R.F.; Alvarez, R.D.; Partridge, E.E.; Khazaeli, M.B.; Lin, C.Y.; Macey, D.J.; Austin, J.M., Jr.; Kilgore, L.C.; Grizzle, W.E.; Schlom, J.; et al. Intraperitoneal radioimmunochemotherapy of ovarian cancer: A phase I study. Cancer Biother. Radiopharm. 2001, 16, 305–315. [Google Scholar] [CrossRef] [PubMed]
  214. Meredith, R.F.; Khazaeli, M.B.; Macey, D.J.; Grizzle, W.E.; Mayo, M.; Schlom, J.; Russell, C.D.; LoBuglio, A.F. Phase II study of interferon-enhanced 131I-labeled high affinity CC49 monoclonal antibody therapy in patients with metastatic prostate cancer. Clin. Cancer Res. 1999, 5, 3254s–3258s. [Google Scholar] [PubMed]
  215. Rogers, B.E.; Roberson, P.L.; Shen, S.; Khazaeli, M.B.; Carpenter, M.; Yokoyama, S.; Brechbiel, M.W.; LoBuglio, A.F.; Buchsbaum, D.J. Intraperitoneal radioimmunotherapy with a humanized anti-TAG-72 (CC49) antibody with a deleted CH2 region. Cancer Biother. Radiopharm. 2005, 20, 502–513. [Google Scholar] [CrossRef] [PubMed]
  216. Minnix, M.; Li, L.; Yazaki, P.J.; Miller, A.D.; Chea, J.; Poku, E.; Liu, A.; Wong, J.Y.C.; Rockne, R.C.; Colcher, D.; et al. TAG-72-Targeted alpha-Radionuclide Therapy of Ovarian Cancer Using (225)Ac-Labeled DOTAylated-huCC49 Antibody. J. Nucl. Med. 2021, 62, 55–61. [Google Scholar] [CrossRef]
  217. Kim, K.S.; Lee, Y.K.; Kim, J.S.; Koo, K.H.; Hong, H.J.; Park, Y.S. Targeted gene therapy of LS174 T human colon carcinoma by anti-TAG-72 immunoliposomes. Cancer Gene Ther. 2008, 15, 331–340. [Google Scholar] [CrossRef] [Green Version]
  218. Minnix, M.; Li, L.; Yazaki, P.J.; Chea, J.; Poku, E.; Colcher, D.; Shively, J.E. Improved targeting of an anti-TAG-72 antibody drug conjugate for the treatment of ovarian cancer. Cancer Med. 2020, 9, 4756–4767. [Google Scholar] [CrossRef]
  219. Prendergast, J.M.; Galvao da Silva, A.P.; Eavarone, D.A.; Ghaderi, D.; Zhang, M.; Brady, D.; Wicks, J.; DeSander, J.; Behrens, J.; Rueda, B.R. Novel anti-Sialyl-Tn monoclonal antibodies and antibody-drug conjugates demonstrate tumor specificity and anti-tumor activity. MAbs 2017, 9, 615–627. [Google Scholar] [CrossRef]
  220. Ragupathi, G.; Howard, L.; Cappello, S.; Koganty, R.R.; Qiu, D.; Longenecker, B.M.; Reddish, M.A.; Lloyd, K.O.; Livingston, P.O. Vaccines prepared with sialyl-Tn and sialyl-Tn trimers using the 4-(4-maleimidomethyl)cyclohexane-1-carboxyl hydrazide linker group result in optimal antibody titers against ovine submaxillary mucin and sialyl-Tn-positive tumor cells. Cancer Immunol. Immunother. 1999, 48, 1–8. [Google Scholar] [CrossRef]
  221. Julien, S.; Picco, G.; Sewell, R.; Vercoutter-Edouart, A.S.; Tarp, M.; Miles, D.; Clausen, H.; Taylor-Papadimitriou, J.; Burchell, J.M. Sialyl-Tn vaccine induces antibody-mediated tumour protection in a relevant murine model. Br. J. Cancer 2009, 100, 1746–1754. [Google Scholar] [CrossRef] [Green Version]
  222. Holmberg, L.A.; Sandmaier, B.M. Vaccination with Theratope (STn-KLH) as treatment for breast cancer. Expert. Rev. Vaccines 2004, 3, 655–663. [Google Scholar] [CrossRef] [PubMed]
  223. Julien, S.; Videira, P.A.; Delannoy, P. Sialyl-tn in cancer: (how) did we miss the target? Biomolecules. 2012, 2, 435–466. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  224. Sindrewicz, P.; Lian, L.Y.; Yu, L.G. Interaction of the Oncofetal Thomsen-Friedenreich Antigen with Galectins in Cancer Progression and Metastasis. Front. Oncol. 2016, 6, 79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  225. Karsten, U.; Goletz, S. What controls the expression of the core-1 (Thomsen-Friedenreich) glycotope on tumor cells? Biochemistry (Mosc). 2015, 80, 801–807. [Google Scholar] [CrossRef]
  226. Henderson, G.; Ulsemer, P.; Schöber, U.; Löffler, A.; Alpert, C.A.; Zimmermann-Kordmann, M.; Reutter, W.; Karsten, U.; Goletz, S.; Blaut, M. Occurrence of the human tumor-specific antigen structure Galβ1-3GalNAcα- (Thomsen-Friedenreich) and related structures on gut bacteria: Prevalence, immunochemical analysis and structural confirmation. Glycobiology 2011, 21, 1277–1289. [Google Scholar] [CrossRef]
  227. Kurtenkov, O.; Izotova, J.; Klaamas, K.; Sergeyev, B. Increased sialylation of anti-Thomsen-Friedenreich antigen (CD176) antibodies in patients with gastric cancer: A diagnostic and prognostic potential. Biomed. Res. Int. 2014, 2014, 830847. [Google Scholar] [CrossRef] [Green Version]
  228. Kurtenkov, O.; Bubina, M.; Klaamas, K. Signatures of anti-Thomsen—Friedenreich antigen antibody diversity in colon cancer patients. Exp Oncol. 2018, 40, 48–58. [Google Scholar] [CrossRef]
  229. Kurtenkov, O. Profiling of Naturally Occurring Antibodies to the Thomsen-Friedenreich Antigen in Health and Cancer: The Diversity and Clinical Potential. Biomed. Res. Int. 2020, 2020, 9747040. [Google Scholar] [CrossRef]
  230. Hanisch, F.G.; Baldus, S.E. The Thomsen-Friedenreich (TF) antigen: A critical review on the structural, biosynthetic and histochemical aspects of a pancarcinoma-associated antigen. Histol. Histopathol. 1997, 12, 263–281. [Google Scholar]
  231. Rittenhouse-Diakun, K.; Xia, Z.; Pickhardt, D.; Morey, S.; Baek, M.G.; Roy, R. Development and characterization of monoclonal antibody to T-antigen: (gal beta1-3GalNAc-alpha-O). Hybridoma 1998, 17, 165–173. [Google Scholar] [CrossRef]
  232. Heimburg, J.; Yan, J.; Morey, S.; Glinskii, O.V.; Huxley, V.H.; Wild, L.; Klick, R.; Roy, R.; Glinsky, V.V.; Rittenhouse-Olson, K. Inhibition of spontaneous breast cancer metastasis by anti-Thomsen-Friedenreich antigen monoclonal antibody JAA-F11. Neoplasia 2006, 8, 939–948. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  233. Rittenhouse-Olson, K. Jaa-f11: Extending the life of mice with breast cancer. Expert. Opin. Biol. Ther. 2007, 7, 923–928. [Google Scholar] [CrossRef] [PubMed]
  234. Ferguson, K.; Yadav, A.; Morey, S.; Abdullah, J.; Hrysenko, G.; Eng, J.Y.; Sajjad, M.; Koury, S.; Rittenhouse-Olson, K. Preclinical studies with JAA-F11 anti-Thomsen-Friedenreich monoclonal antibody for human breast cancer. Future Oncol. 2014, 10, 385–399. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  235. Tati, S.; Fisk, J.C.; Abdullah, J.; Karacosta, L.; Chrisikos, T.; Philbin, P.; Morey, S.; Ghazal, D.; Zazala, F.; Jessee, J.; et al. Humanization of JAA-F11, a Highly Specific Anti-Thomsen-Friedenreich Pancarcinoma Antibody and InVitro Efficacy Analysis. Neoplasia 2017, 19, 716–733. [Google Scholar] [CrossRef] [PubMed]
  236. Longenecker, B.M.; Willans, D.J.; MacLean, G.D.; Selvaraj, S.; Suresh, M.R.; Noujaim, A.A. Monoclonal antibodies and synthetic tumor-associated glycoconjugates in the study of the expression of Thomsen-Friedenreich-like and Tn-like antigens on human cancers. J. Natl. Cancer Inst. 1987, 78, 489–496. [Google Scholar] [CrossRef] [PubMed]
  237. Richman, C.M.; Denardo, S.J.; O'Donnell, R.T.; Yuan, A.; Shen, S.; Goldstein, D.S.; Tuscano, J.M.; Wun, T.; Chew, H.K.; Lara, P.; et al. High-dose radioimmunotherapy combined with fixed, low-dose paclitaxel in metastatic prostate and breast cancer by using a MUC-1 monoclonal antibody, m170, linked to indium-111/yttrium-90 via a cathepsin cleavable linker with cyclosporine to prevent human anti-mouse antibody. Clin. Cancer Res. 2005, 11, 5920–5927. [Google Scholar] [CrossRef] [Green Version]
  238. Cartwright, O.C.; Beekman, A.M.; Cominetti, M.M.D.; Russell, D.A.; Searcey, M. A Peptide-Duocarmycin Conjugate Targeting the Thomsen-Friedenreich Antigen Has Potent and Selective Antitumor Activity. Bioconjug. Chem. 2020, 31, 1745–1749. [Google Scholar] [CrossRef]
  239. Osinaga, E. Expression of cancer-associated simple mucin-type O-glycosylated antigens in parasites. IUBMB Life 2007, 59, 269–273. [Google Scholar] [CrossRef]
  240. Alvarez Errico, D.; Medeiros, A.; Míguez, M.; Casaravilla, C.; Malgor, R.; Carmona, C.; Nieto, A.; Osinaga, E. O-glycosylation in Echinococcus granulosus: Identification and characterization of the carcinoma-associated Tn antigen. Exp. Parasitol. 2001, 98, 100–109. [Google Scholar] [CrossRef]
  241. Freire, T.; Casaravilla, C.; Carmona, C.; Osinaga, E. Mucin type O-glycosylation in Fasciola hepatica: Characterization of carcinoma associated Tn and sialyl-Tn antigens and evaluation of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase activity. Int. J. Parasitol. 2003, 33, 47–56. [Google Scholar] [CrossRef]
  242. Casaravilla, C.; Freire, T.; Malgor, R.; Medeiros, A.; Osinaga, E.; Carmona, C. Mucin-Type O-Glycosylation in helminth parasites from major taxonomic groups: Evidence for widespread distribution of the Tn Antigen (GalNAc-Ser/Thr) and identification of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase activity. J. Parasitol. 2003, 89, 709–714. [Google Scholar] [CrossRef] [PubMed]
  243. Medeiros, A.; Chiribao, M.L.; Ubillos, L.; Festari, M.F.; Saldaña, J.; Robello, C.; Domínguez, L.; Calvete, J.J.; Osinaga, E. Mucin-type O-glycosylation in Mesocestoides vogae (syn. corti). Int. J. Parasitol. 2008, 38, 265–276. [Google Scholar] [CrossRef] [PubMed]
  244. Freire, T.; Robello, C.; Soule, S.; Ferreira, F.; Osinaga, E. Sialyl-Tn antigen expression and O-linked GalNAc-Thr synthesis by Trypanosoma cruzi. Biochem. Biophys. Res. Commun. 2003, 312, 1309–1316. [Google Scholar] [CrossRef] [PubMed]
  245. Vinay, D.S.; Ryan, E.P.; Pawelec, G.; Talib, W.H.; Stagg, J.; Elkord, E.; Lichtor, T.; Decker, W.K.; Whelan, R.L.; Kumara, H.M.C.S.; et al. Immune evasion in cancer: Mechanistic basis and therapeutic strategies. Semin. Cancer Biol. 2015, 35, S185–S198. [Google Scholar] [CrossRef]
  246. Noya, V.; Bay, S.; Festari, M.F.; García, E.P.; Rodriguez, E.; Chiale, C.; Ganneau, C.; Baleux, F.; Astrada, S.; Bollati-Fogolín, M.; et al. Mucin-like peptides from Echinococcus granulosus induce antitumor activity. Int. J. Oncol. 2013, 43, 775–784. [Google Scholar] [CrossRef] [Green Version]
  247. Berriel, E.; Russo, S.; Monin, L.; Festari, M.F.; Berois, N.; Fernández, G.; Freire, T.; Osinaga, E. Antitumor activity of human hydatid cyst fluid in a murine model of colon cancer. Sci. World J. 2013, 2013, 230176. [Google Scholar] [CrossRef] [Green Version]
  248. Ubillos, L.; Freire, T.; Berriel, E.; Chiribao, M.L.; Chiale, C.; Festari, M.F.; Medeiros, A.; Mazal, D.; Rondán, M.; Bollati-Fogolín, M.E.; et al. Trypanosoma cruzi extracts elicit protective immune response against chemically induced colon and mammary cancers. Int. J. Cancer 2016, 138, 1719–1731. [Google Scholar] [CrossRef] [Green Version]
  249. Berriel, E.; Freire, T.; Chiale, C.; Rodríguez, E.; Morón, G.; Fernández-Graña, G.; Crispo, M.; Berois, N.; Osinaga, E. Human hydatid cyst fluid-induced therapeutic anti-cancer immune responses via NK1.1+ cell activation in mice. Cancer Immunol. Immunother. 2021, 70, 3617–3627. [Google Scholar] [CrossRef]
  250. Blanas, A.; Sahasrabudhe, N.M.; Rodríguez, E.; van Kooyk, Y.; van Vliet, S.J. Fucosylated Antigens in Cancer: An Alliance toward Tumor Progression, Metastasis, and Resistance to Chemotherapy. Front. Oncol. 2018, 8, 39. [Google Scholar] [CrossRef]
  251. Dotz, V.; Wuhrer, M. Histo-blood group glycans in the context of personalized medicine. Biochim. Biophys. Acta 2016, 1860, 1596–1607. [Google Scholar] [CrossRef] [Green Version]
  252. Skulimowski, A.; Durczyński, A.; Strzelczyk, J.; Hogendorf, P. Comparison of clinical usefulness of serum Ca125 and CA19-9 in pancreatic adenocarcinoma diagnosis: Meta-analysis and systematic review of literature. Biomarkers 2021, 26, 287–295. [Google Scholar] [CrossRef]
  253. Fernandes, E.; Sores, J.; Cotton, S.; Peixoto, A.; Ferreira, D.; Freitas, R.; Reis, C.A.; Santos, L.L.; Ferreira, J.A. Esophageal, gastric and colorectal cancers: Looking beyond classical serological biomarkers towards glycoproteomics-assisted precision oncology. Theranostics 2020, 10, 4903–4928. [Google Scholar] [CrossRef] [PubMed]
  254. Ferreira, I.G.; Carrascal, M.; Mineiro, A.G.; Bugalho, A.; Borralho, P.; Silva, Z.; Dall'olio, F.; Videira, P.A. Carcinoembryonic antigen is a sialyl Lewis x/a carrier and an E-selectin ligand in non-small cell lung cancer. Int. J. Oncol. 2019, 55, 1033–1048. [Google Scholar] [CrossRef] [PubMed]
  255. Sawada, R.; Sun, S.M.; Wu, X.; Hong, F.; Ragupathi, G.; Livingston, P.O.; Scholz, W.W. Human monoclonal antibodies to sialyl-Lewis (CA19.9) with potent CDC, ADCC, and antitumor activity. Clin. Cancer Res. 2011, 17, 1024–1032. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  256. O'Reilly, E.M.; Borazanci, E.H.; Yu, K.H.; Varghese, A.M.; Estrella, H.; Kamins, D.; Melink, T.; Dorr, K.; Maffuid, P.; Gutheil, J.; et al. HuMab-5B1 (MVT-5873), a mAb targeting sLea, in combination with first-line gemcitabine plus nab-paclitaxel (gem/nab-P) for patients with pancreatic cancer (PDAC) and other CA19-9 positive malignancies. J. Clin. Oncol. 2018, 36, e16235. [Google Scholar] [CrossRef]
  257. O'Reilly, E.A.; Lohrmann, C.; O'Donoghue, J.A.; Borazanci, E.; Estrella, H.; Teng, R.; Melink, T.; Dorr, K.; Kearns, C.; Peterson, M.; et al. Phase I dose escalation study of 177Lu-HuMab-5B1 (MVT-1075) in combination with MVT-5873 as radioimmunotherapy (RIT) in subjects with relapsed / refractory pancreatic cancer or other CA19-9+ malignancies. In Proceedings of the American Association for Cancer Research Annual Meeting 2018, Chicago, IL, USA, 14–18 April 2018; AACR: Philadelphia, PA, USA, ; CT140, 2018; Volume 78. [Google Scholar] [CrossRef]
  258. Tivadar, S.T.; McIntosh, R.S.; Chua, J.X.; Moss, R.; Parsons, T.; Zaitoun, A.M.; Madhusudan, S.; Durrant, L.G.; Vankemmelbeke, M. Monoclonal Antibody Targeting Sialyl-di-Lewisa-Containing Internalizing and Noninternalizing Glycoproteins with Cancer Immunotherapy Development Potential. Mol. Cancer Ther. 2020, 19, 790–801. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  259. Kitamura, K.; Stockert, E.; Garin-Chesa, P.; Welt, S.; Lloyd, K.O.; Armour, K.L.; Wallace, T.P.; Harris, W.J.; Carr, F.J.; Old, L.J. Specificity analysis of blood group Lewis-y (Le(y)) antibodies generatedagainst synthetic and natural Le(y) determinants. Proc. Natl. Acad. Sci. USA 1994, 91, 12957–12961. [Google Scholar] [CrossRef] [Green Version]
  260. Scott, A.M.; Geleick, D.; Rubira, M.; Clarke, K.; Nice, E.C.; Smyth, F.E.; Stockert, E.; Richards, E.C.; Carr, F.J.; Harris, W.J.; et al. Construction, production, and characterization of humanized anti-Lewis Y monoclonal antibody 3S193 for targeted immunotherapy of solid tumors. Cancer Res. 2000, 60, 3254–3261. [Google Scholar]
  261. Smaletz, O.; Ismael, G.; Del Pilar Estevez-Diz, M.; Nascimento, I.L.O.; de Morais, A.L.G.; Cunha-Junior, G.F.; Azevedo, S.J.; Alves, V.A.; Moro, A.M.; Yeda, F.P.; et al. . Phase II consolidation trial with anti-Lewis-Y monoclonal antibody (hu3S193) in platinum-sensitive ovarian cancer after a second remission. Int. J. Gynecol. Cancer. 2021, 31, 562–568. [Google Scholar] [CrossRef]
  262. Ritchie, D.S.; Neeson, P.J.; Khot, A.; Peinert, S.; Tai, T.; Tainton, K.; Chen, K.; Shin, M.; Wall, D.M.; Hönemann, D.; et al. Persistence and efficacy of second generation CAR T cell against the LeY antigen in acute myeloid leukemia. Mol. Ther. 2013, 21, 2122–2129. [Google Scholar] [CrossRef] [Green Version]
  263. Chen, J.; Pan, Z.; Han, L.; Zhou, Y.; Zong, H.; Wang, L.; Sun, R.; Jiang, H.; Xie, Y.; Yuan, Y.; et al. A Novel Bispecific Antibody Targeting CD3 and Lewis Y with Potent Therapeutic Efficacy against Gastric Cancer. Biomedicines 2021, 9, 1059. [Google Scholar] [CrossRef]
  264. Chang, C.Y.; Jeffrey, P.D.; Bajorath, J.; Hellström, I.; Hellström, K.E.; Sheriff, S. Crystallization and preliminary X-ray analysis of the monoclonal anti-tumor antibody BR96 and its complex with the Lewis Y determinant. J. Mol. Biol. 1994, 235, 372–376. [Google Scholar] [CrossRef]
  265. Tolcher, A.W.; Sugarman, S.; Gelmon, K.A.; Cohen, R.; Saleh, M.; Isaacs, C.; Young, L.; Healey, D.; Onetto, N.; Slichenmyer, W. Randomized phase II study of BR96-doxorubicin conjugate in patients with metastatic breast cancer. J. Clin. Oncol. 1999, 17, 478–484. [Google Scholar] [CrossRef] [PubMed]
  266. Ragupathi, G.; Damani, P.; Srivastava, G.; Srivastava, O.; Sucheck, S.J.; Ichikawa, Y.; Livingston, P.O. Synthesis of sialyl Lewis(a) (sLe (a), CA19-9) and construction of an immunogenic sLe(a) vaccine. Cancer Immunol. Immunother. 2009, 58, 1397–1405. [Google Scholar] [CrossRef] [Green Version]
  267. Jin, F.; Wang, F. The physiological and pathological roles and applications of sialyl Lewis x, a common carbohydrate ligand of the three selectins. Glycoconj. J. 2020, 37, 277–291. [Google Scholar] [CrossRef]
  268. Springer, T.A. Traffic signals for lymphocyte recirculation and leukocyte emigration: The multistep paradigm. Cell 1994, 76, 301–314. [Google Scholar] [CrossRef]
  269. Bassagañas, S.; Allende, H.; Cobler, L.; Ortiz, M.R.; Llop, E.; de Bolós, C.; Peracaula, R. Inflammatory cytokines regulate the expression of glycosyltransferases involved in the biosynthesis of tumor-associated sialylated glycans in pancreatic cancer cell lines. Cytokine 2015, 75, 197–206. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  270. Takada, A.; Ohmori, K.; Yoneda, T.; Tsuyuoka, K.; Hasegawa, A.; Kiso, M.; Kannagi, R. Contribution of carbohydrate antigens Sialyl Lewis A and Sialyl Lewis X to adhesion of human cancer cells to vascular endothelium. Cancer Res. 1993, 53, 354–361. [Google Scholar] [PubMed]
  271. Hiller, K.M.; Mayben, J.P.; Bendt, K.M.; Manousos, G.A.; Senger, K.; Cameron, H.S.; Weston, B.W. Transfection of alpha(1,3)fucosyltransferase antisense sequences impairs the proliferative and tumorigenic ability of human colon carcinoma cells. Mol. Carcinog. 2000, 27, 280–288. [Google Scholar] [CrossRef]
  272. Fukushi, Y.; Nudelman, E.; Levery, S.B.; Hakomori, S.; Rauvala, H. Novel fucolipids accumulating in human adenocarcinoma. III. A hybridoma antibody (FH6) defining a human cancer-associated difucoganglioside (VI3NeuAcV3III3Fuc2nLc6). J. Biol. Chem. 1984, 259, 10511–10517. [Google Scholar] [CrossRef]
  273. Fukushima, K.; Hirota, M.; Terasaki, P.I.; Wakisaka, A.; Togashi, H.; Chia, D.; Suyama, N.; Fukushi, Y.; Nudelman, E.; Hakomori, S. Characterization of sialosylated Lewisx as a new tumor-associated antigen. Cancer Res. 1984, 44, 5279–5285. [Google Scholar] [PubMed]
  274. Hanisch, F.G.; Hanski, C.; Hasegawa, A. Sialyl Lewis(x) antigen as defined by monoclonal antibody AM-3 is a marker of dysplasia in the colonic adenoma-carcinoma sequence. Cancer Res. 1992, 52, 3138–3144. [Google Scholar] [PubMed]
  275. Dohi T, Nemoto T, Ohta S, Shitara K, Hanai N, Nudelman E, Hakomori S, Oshima M Different binding properties of three monoclonal antibodies to sialyl Le(x) glycolipids in a gastric cancer cell line and normal stomach tissue. Anticancer Res. 1993, 13, 1277–1282.
  276. Magnani, J.L. The discovery, biology, and drug development of sialyl Lea and sialyl Lex. Arch. Biochem. Biophys. 2004, 426, 122–131. [Google Scholar] [CrossRef] [PubMed]
  277. Liang, J.X.; Liang, Y.; Gao, W. Clinicopathological and prognostic significance of sialyl Lewis X overexpression in patients with cancer: A meta-analysis. Onco-Targets Ther. 2016, 9, 3113–3125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  278. Yamashita, J.; Kobayashi, I.; Tatematsu, K.; Sezutsu, H.; Noda, K.; Ishihara, H. Sandwich ELISA Using a Mouse/Human Chimeric CSLEX-1 Antibody. Clin. Chem. 2016, 62, 1516–1523. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  279. Morton, D.L.; Foshag, L.J.; Hoon, D.S.; Nizze, J.A.; Famatiga, E.; Wanek, L.A.; Chang, C.; Davtyan, D.G.; Gupta, R.K.; Elashoff, R.; et al. Prolongation of survival in metastatic melanoma after active specific immunotherapy with a new polyvalent melanoma vaccine. Ann. Surg. 1992, 216, 463–482. [Google Scholar] [CrossRef]
  280. Ravindranath, M.H.; Kelley, M.C.; Jones, R.C.; Amiri, A.A.; Bauer, P.M.; Morton, D.L. Ratio of IgG:IgM antibodies to sialyl Lewis(x) and GM3 correlates with tumor growth after immunization with melanoma-cell vaccine with different adjuvants in mice. Int. J. Cancer 1998, 75, 117–124. [Google Scholar] [CrossRef]
  281. Kieber-Emmons, T.; Luo, P.; Qiu, J.; Chang, T.Y.; Insug, O.; Blaszczyk-Thurin, M.; Steplewski, Z. Vaccination with carbohydrate peptide mimotopes promotes anti-tumor responses. Nat. Biotechnol. 1999, 17, 660–665. [Google Scholar] [CrossRef]
  282. Kuznetsova, N.R.; Stepanova, E.V.; Peretolchina, N.M.; Khochenkov, D.A.; Boldyrev, I.A.; Bovin, N.V.; Vodovozova, E.L. Targeting liposomes loaded with melphalan prodrug to tumour vasculature via the Sialyl Lewis X selectin ligand. J. Drug Target. 2014, 22, 242–250. [Google Scholar] [CrossRef]
  283. Kishimoto, S.; Fujitani, N.; Ohnishi, T.; Aoki, H.; Suzuki, R.; Fukushima, S. Cisplatin-loaded, Sialyl Lewis X-Modified Liposomes: Drug Release, Biodistribution and Antitumor Efficacy. Anticancer Res. 2017, 37, 6055–6061. [Google Scholar] [CrossRef] [PubMed]
  284. Matsumoto, S.; Imaeda, Y.; Umemoto, S.; Kobayashi, K.; Suzuki, H.; Okamoto, T. Cimetidine increases survival of colorectal cancer patients with high levels of sialyl Lewis-X and sialyl Lewis-A epitope expression on tumour cells. Br. J. Cancer 2002, 86, 161–167. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  285. Kobayashi, K.; Matsumoto, S.; Morishima, T.; Kawabe, T.; Okamoto, T. Cimetidine inhibits cancer cell adhesion to endothelial cells and prevents metastasis by blocking E-selectin expression. Cancer Res. 2000, 60, 3978–3984. [Google Scholar] [PubMed]
  286. Liu, F.R.; Jiang, C.G.; Li, Y.S.; Li, J.B.; Li, F. Cimetidine inhibits the adhesion of gastric cancer cells expressing high levels of sialyl Lewis x in human vascular endothelial cells by blocking E-selectin expression. Int. J. Mol. Med. 2011, 27, 537–544. [Google Scholar] [CrossRef] [PubMed]
  287. Borentain, P.; Carmona, S.; Mathieu, S.; Jouve, E.; El-Battari, A.; Gérolami, R. Inhibition of E-selectin expression on the surface of endothelial cells inhibits hepatocellular carcinoma growth by preventing tumor angiogenesis. Cancer Chemother. Pharmacol. 2016, 77, 847–856. [Google Scholar] [CrossRef]
  288. Schauer, R.; Kamerling, J.P. Exploration of the Sialic Acid World. Adv. Carbohydr. Chem. Biochem. 2018, 75, 1–213. [Google Scholar] [CrossRef]
  289. Mindler, K.; Ostertag, E.; Stehle, T. The polyfunctional polysialic acid: A structural view. Carbohydr. Res. 2021, 507, 108376. [Google Scholar] [CrossRef]
  290. Bhide, G.P.; Zapater, J.L.; Colley, K.J. Autopolysialylation of polysialyltransferases is required for polysialylation and polysialic acid chain elongation on select glycoprotein substrates. J. Biol. Chem. 2018, 293, 701–716. [Google Scholar] [CrossRef]
  291. Berois, N.; Osinaga, E. Glycobiology of neuroblastoma: Impact on tumor behavior, prognosis, and therapeutic strategies. Front. Oncol. 2014, 4, 114. [Google Scholar] [CrossRef] [Green Version]
  292. Wang, X.; Li, X.; Zeng, Y.N.; He, F.; Yang, X.M.; Guan, F. Enhanced expression of polysialic acid correlates with malignant phenotype in breast cancer cell lines and clinical tissue samples. Int. J. Mol. Med. 2016, 37, 197–206. [Google Scholar] [CrossRef] [Green Version]
  293. Klobučar, M.; Visentin, S.; Jakovčević, A.; Bilić, M.; Kovač-Bilić, L.; Đanić, D.; Pavelić, K.; Kraljević Pavelić, S. Expression of polysialic acid in primary laryngeal squamous cell carcinoma. Life Sci. 2017, 173, 73–79. [Google Scholar] [CrossRef] [PubMed]
  294. Schreiber, S.C.; Giehl, K.; Kastilan, C.; Hasel, C.; Mühlenhoff, M.; Adler, G.; Wedlich, D.; Menke, A. Polysialylated NCAM represses E-cadherin-mediated cell-cell adhesion in pancreatic tumor cells. Gastroenterology 2008, 134, 1555–1566. [Google Scholar] [CrossRef] [PubMed]
  295. Tanaka, F.; Otake, Y.; Nakagawa, T.; Kawano, Y.; Miyahara, R.; Li, M.; Yanagihara, K.; Nakayama, J.; Fujimoto, I.; Ikenaka, K.; et al. Expression of polysialic acid and STX, a human polysialyltransferase, is correlated with tumor progression in non-small cell lung cancer. Cancer Res. 2000, 60, 3072–3080. [Google Scholar] [PubMed]
  296. Gong, L.; Zhou, X.; Yang, J.; Jiang, Y.; Yang, H. Effects of the regulation of polysialyltransferase ST8SiaII on the invasiveness and metastasis of small cell lung cancer cells. Oncol. Rep. 2017, 37, 131–138. [Google Scholar] [CrossRef] [Green Version]
  297. Sato, C.; Kitajima, K. Polysialylation and disease. Mol. Aspects Med. 2021, 79, 100892. [Google Scholar] [CrossRef]
  298. Jarahian, M.; Marofi, F.; Maashi, M.S.; Ghaebi, M.; Khezri, A.; Berger, M.R. Re-Expression of Poly/Oligo-Sialylated Adhesion Molecules on the Surface of Tumor Cells Disrupts Their Interaction with Immune-Effector Cells and Contributes to Pathophysiological Immune Escape. Cancers 2021, 13, 5203. [Google Scholar] [CrossRef]
  299. Takeuchi, H.; Kato, K.; Denda-Nagai, K.; Hanisch, F.G.; Clausen, H.; Irimura, T. The epitope recognized by the unique anti-MUC1 monoclonal antibody MY.1E12 involves sialyl alpha 2-3galactosyl beta 1-3N-acetylgalactosaminide linked to a distinct threonine residue in the MUC1 tandem repeat. J. Immunol. Methods 2002, 270, 199–209. [Google Scholar] [CrossRef]
  300. Martersteck, C.M.; Kedersha, N.L.; Drapp, D.A.; Tsui, T.G.; Colley, K.J. Unique alpha 2, 8-polysialylated glycoproteins in breast cancer and leukemia cells. Glycobiology 1996, 6, 289–301. [Google Scholar] [CrossRef]
  301. Klebert, S.; Kratzin, H.D.; Zimmermann, B.; Vaesen, M.; Frosch, M.; Weisgerber, C.; Bitter-Suermann, D.; Hilschmann, N. Primary structure of the murine monoclonal IgG2a antibody mAb735 against alpha (2-8) polysialic acid. 2. Amino acid sequence of the heavy (H-) chain Fd' region. Biol. Chem. Hoppe Seyler 1993, 374, 993–1000. [Google Scholar] [CrossRef]
  302. Cox, E.C.; Thornlow, D.N.; Jones, M.A.; Fuller, J.L.; Merritt, J.H.; Paszek, M.J.; Alabi, C.A.; DeLisa, M.P. Antibody-Mediated Endocytosis of Polysialic Acid Enables Intracellular Delivery and Cytotoxicity of a Glycan-Directed Antibody-Drug Conjugate. Cancer Res. 2019, 79, 1810–1821. [Google Scholar] [CrossRef] [Green Version]
  303. Ragupathi, G.; Coltart, D.M.; Williams, L.J.; Koide, F.; Kagan, E.; Allen, J.; Harris, C.; Glunz, P.W.; Livingston, P.O.; Danishefsky, S.J. On the power of chemical synthesis: Immunological evaluation of models for multiantigenic carbohydrate-based cancer vaccines. Proc. Natl. Acad. Sci. USA 2002, 99, 13699–13704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  304. Slovin, S.F.; Ragupathi, G.; Fernandez, C.; Diani, M.; Jefferson, M.P.; Wilton, A.; Kelly, W.K.; Morris, M.; Solit, D.; Clausen, H.; et al. A polyvalent vaccine for high-risk prostate patients: "are more antigens better?". Cancer Immunol. Immunother. 2007, 56, 1921–1930. [Google Scholar] [CrossRef]
  305. Sabbatini, P.J.; Ragupathi, G.; Hood, C.; Aghajanian, C.A.; Juretzka, M.; Iasonos, A.; Hensley, M.L.; Spassova, M.K.; Ouerfelli, O.; Spriggs, D.R.; et al. Pilot study of a heptavalent vaccine-keyhole limpet hemocyanin conjugate plus QS21 in patients with epithelial ovarian, fallopian tube, or peritoneal cancer. Clin. Cancer Res. 2007, 13, 4170–4177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  306. Ragupathi, G.; Koide, F.; Livingston, P.O.; Cho, Y.S.; Endo, A.; Wan, Q.; Spassova, M.K.; Keding, S.J.; Allen, J.; Ouerfelli, O.; et al. Preparation and evaluation of unimolecular pentavalent and hexavalent antigenic constructs targeting prostate and breast cancer: A synthetic route to anticancer vaccine candidates. J. Am. Chem. Soc. 2006, 128, 2715–2725. [Google Scholar] [CrossRef] [PubMed]
  307. Singh, A.K.; McGuirk, J.P. CAR T cells: Continuation in a revolution of immunotherapy. Lancet Oncol. 2020, 21, e168–e178. [Google Scholar] [CrossRef]
  308. Alcantara, M.; Du Rusquec, P.; Romano, E. Current Clinical Evidence and Potential Solutions to Increase Benefit of CAR T-Cell Therapy for Patients with Solid Tumors. Oncoimmunology 2020, 9, 1777064. [Google Scholar] [CrossRef] [PubMed]
  309. Rossig, C.; Bollard, C.M.; Nuchtern, J.G.; Merchant, D.A.; Brenner, M.K. Targeting of G(D2)-positive tumor cells by human T lymphocytes engineered to express chimeric T-cell receptor genes. Int. J. Cancer 2001, 94, 228–236. [Google Scholar] [CrossRef]
  310. Pule, M.A.; Savoldo, B.; Myers, G.D.; Rossig, C.; Russell, H.V.; Dotti, G.; Huls, M.H.; Liu, E.; Gee, A.P.; Mei, Z.; et al. Nat Virus-specific T cells engineered to coexpress tumor-specific receptors: Persistence and antitumor activity in individuals with neuroblastoma. Nat. Med. 2008, 14, 1264–1270. [Google Scholar] [CrossRef]
  311. Louis, C.U.; Savoldo, B.; Dotti, G.; Pule, M.; Yvon, E.; Myers, G.D.; Rossig, C.; Russell, H.V.; Diouf, O.; Liu, E.; et al. Antitumor activity and long-term fate of chimeric antigen receptor-positive T cells in patients with neuroblastoma. Blood 2011, 118, 6050–6056. [Google Scholar] [CrossRef]
  312. Heczey, A.; Louis, C.U.; Savoldo, B.; Dakhova, O.; Durett, A.; Grilley, B.; Liu, H.; Wu, M.F.; Mei, Z.; Gee, A.; et al. CAR T Cells Administered in Combination with Lymphodepletion and PD-1 Inhibition to Patients with Neuroblastoma. Mol. Ther. 2017, 25, 2214–2224. [Google Scholar] [CrossRef] [Green Version]
  313. Straathof, K.; Flutter, B.; Wallace, R.; Jain, N.; Loka, T.; Depani, S.; Wright, G.; Thomas, S.; Cheung, G.W.; Gileadi, T.; et al. Antitumor activity without on-target off-tumor toxicity of GD2-chimeric antigen receptor T cells in patients with neuroblastoma. Sci. Transl. Med. 2020, 12, eabd6169. [Google Scholar] [CrossRef] [PubMed]
  314. Yu, L.; Huang, L.; Lin, D.; Lai, X.; Wu, L.; Liao, X.; Liu, J.; Zeng, Y.; Liang, L.; Zhang, G.; et al. GD2-specific chimeric antigen receptor-modified T cells for the treatment of refractory and/or recurrent neuroblastoma in pediatric patients. J. Cancer Res. Clin. Oncol. 2021. [Google Scholar] [CrossRef] [PubMed]
  315. Tumino, N.; Weber, G.; Besi, F.; Del Bufalo, F.; Bertaina, V.; Paci, P.; Quatrini, L.; Antonucci, L.; Sinibaldi, M.; Quintarelli, C.; et al. Polymorphonuclear myeloid-derived suppressor cells impair the anti-tumor efficacy of GD2.CAR T-cells in patients with neuroblastoma. J. Hematol. Oncol. 2021, 14, 191. [Google Scholar] [CrossRef] [PubMed]
  316. Xu, X.; Huang, W.; Heczey, A.; Liu, D.; Guo, L.; Wood, M.; Jin, J.; Courtney, A.N.; Liu, B.; Di Pierro, E.J.; et al. NKT Cells Coexpressing a GD2-Specific Chimeric Antigen Receptor and IL15 Show Enhanced In Vivo Persistence and Antitumor Activity against Neuroblastoma. Clin. Cancer Res. 2019, 25, 7126–7138. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  317. Heczey, A.; Courtney, A.N.; Montalbano, A.; Robinson, S.; Liu, K.; Li, M.; Ghatwai, N.; Dakhova, O.; Liu, B.; Raveh-Sadka, T.; et al. Anti-GD2 CAR-NKT cells in patients with relapsed or refractory neuroblastoma: An interim analysis. Nat. Med. 2020, 26, 1686–1690. [Google Scholar] [CrossRef] [PubMed]
  318. Yvon, E.; Del Vecchio, M.; Savoldo, B.; Hoyos, V.; Dutour, A.; Anichini, A.; Dotti, G.; Brenner, M.K. Immunotherapy of metastatic melanoma using genetically engineered GD2-specific T cells. Clin. Cancer Res. 2009, 15, 5852–5860. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  319. Yu, J.; Wu, X.; Yan, J.; Yu, H.; Xu, L.; Chi, Z.; Sheng, X.; Si, L.; Cui, C.; Dai, J.; et al. Anti-GD2/4-1BB chimeric antigen receptor T cell therapy for the treatment of Chinese melanoma patients. J. Hematol. Oncol. 2018, 11, 1. [Google Scholar] [CrossRef] [PubMed]
  320. Soltantoyeh, T.; Akbari, B.; Karimi, A.; Mahmoodi, C.G.; Ghahri-Saremi, N.; Hadjati, J.; Hamblin, M.R.; Mirzaei, H.R. Chimeric Antigen Receptor (CAR) T Cell Therapy for Metastatic Melanoma: Challenges and Road Ahead. Cells 2021, 10, 1450. [Google Scholar] [CrossRef]
  321. Lin, Y.; Chen, S.; Zhong, S.; An, H.; Yin, H.; McGowan, E. Phase I clinical trial of PD-1 knockout anti-MUC1 CAR-T cells in the treatment of patients with non-small cell lung cancer. Ann. Oncol. 2019, 30 (Suppl. 11), xi12–xi15. [Google Scholar] [CrossRef]
  322. Specht, J.M.; Maloney, D.G.; Yeung, C.; Wu, V.; Bamdad, C. Phase I study of adoptive immunotherapy for advanced MUC1* positive breast cancer with autologous T cells engineered to express a chimeric antigen receptor, huMNC2-CAR44 specific for a cleaved form of MUC1 (MUC1*). Cancer Res. 2020, 80, CT232. [Google Scholar] [CrossRef]
  323. Wilkie, S.; Picco, G.; Foster, J.; Davies, D.M.; Julien, S.; Cooper, L.; Arif, S.; Mather, S.J.; Taylor-Papadimitriou, J.; Burchell, J.M.; et al. Retargeting of human T cells to tumor-associated MUC1: The evolution of a chimeric antigen receptor. J. Immunol. 2008, 180, 4901–4909. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  324. Posey, A.D., Jr.; Schwab, R.D.; Boesteanu, A.C.; Steentoft, C.; Mandel, U.; Engels, B.; Stone, J.D.; Madsen, T.D.; Schreiber, K.; Haines, K.M.; et al. Engineered CAR T Cells Targeting the Cancer-Associated Tn-Glycoform of the Membrane Mucin MUC1 Control Adenocarcinoma. Immunity 2016, 44, 1444–1454. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  325. Wei, X.; Lai, Y.; Li, J.; Qin, L.; Xu, Y.; Zhao, R.; Li, B.; Lin, S.; Wang, S.; Wu, Q.; et al. PSCA and MUC1 in non-small-cell lung cancer as targets of chimeric antigen receptor T cells. Oncoimmunology 2017, 6, e1284722. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  326. You, F.; Jiang, L.; Zhang, B.; Lu, Q.; Zhou, Q.; Liao, X.; Wu, H.; Du, K.; Zhu, Y.; Meng, H.; et al. Phase 1 clinical trial demonstrated that MUC1 positive metastatic seminal vesicle cancer can be effectively eradicated by modified Anti-MUC1 chimeric antigen receptor transduced T cells. Sci. China Life Sci. 2016, 59, 386–397. [Google Scholar] [CrossRef] [Green Version]
  327. Mei, Z.; Zhang, K.; Lam, A.K.; Huang, J.; Qiu, F.; Qiao, B.; Zhang, Y. MUC1 as a target for CAR-T therapy in head and neck squamous cell carinoma. Cancer Med. 2020, 9, 640–652. [Google Scholar] [CrossRef] [Green Version]
  328. Nalawade, S.A.; Shafer, P.; Bajgain, P.; McKenna, M.K.; Ali, A.; Kelly, L.; Joubert, J.; Gottschalk, S.; Watanabe, N.; Leen, A.; et al. Selectively targeting myeloid-derived suppressor cells through TRAIL receptor 2 to enhance the efficacy of CAR T cell therapy for treatment of breast cancer. J. Immunother. Cancer 2021, 9, e003237. [Google Scholar] [CrossRef]
  329. Zhai, X.; You, F.; Xiang, S.; Jiang, L.; Chen, D.; Li, Y.; Fan, S.; Han, Z.; Zhang, T.; An, G.; et al. MUC1-Tn-targeting chimeric antigen receptor-modified Vγ9Vδ2 T cells with enhanced antigen-specific anti-tumor activity. Am. J. Cancer Res. 2021, 11, 79–91. [Google Scholar]
  330. Gutierrez, R.; Shah, P.D.; Hamid, O.; Garfall, A.L.; Posey, A.; Russell Bishop, M.; Blumenschein, G.R.; Lynne Johnson, M.; Lee, S.; Luke, J.J.; et al. Phase I experience with first in class TnMUC1 targeted chimeric antigen receptor T-cells in patients with advanced TnMUC1 positive solid tumors. J. Clin. Oncol. 2021, 15, e14513. [Google Scholar] [CrossRef]
  331. Hombach, A.; Heuser, C.; Sircar, R.; Tillmann, T.; Diehl, V.; Kruis, W.; Pohl, C.; Abken, H. T cell targeting of TAG72+ tumor cells by a chimeric receptor with antibody-like specificity for a carbohydrate epitope. Gastroenterology 1997, 113, 1163–1170. [Google Scholar] [CrossRef]
  332. McGuinness, R.P.; Ge, Y.; Patel, S.D.; Kashmiri, S.V.; Lee, H.S.; Hand, P.H.; Schlom, J.; Finer, M.H.; McArthur, J.G. Anti-tumor activity of human T cells expressing the CC49-zeta chimeric immune receptor. Hum. Gene Ther. 1999, 10, 165–173. [Google Scholar] [CrossRef]
  333. Hombach, A.A.; Rappl, G.; Abken, H. Blocking CD30 on T Cells by a Dual Specific CAR for CD30 and Colon Cancer Antigens Improves the CAR T Cell Response against CD30- Tumors. Mol. Ther. 2019, 27, 1825–1835. [Google Scholar] [CrossRef] [PubMed]
  334. Murad, J.P.; Kozlowska, A.K.; Lee, H.J.; Ramamurthy, M.; Chang, W.C.; Yazaki, P.; Colcher, D.; Shively, J.; Cristea, M.; Forman, S.J.; et al. Effective Targeting of TAG72 + Peritoneal Ovarian Tumors via Regional Delivery of CAR-Engineered T Cells. Front. Immunol. 2018, 9, 2268. [Google Scholar] [CrossRef] [PubMed]
  335. Shu, R.; Evtimov, V.J.; Hammett, M.V.; Nguyen, N.N.; Zhuang, J.; Hudson, P.J.; Howard, M.C.; Pupovac, A.; Trounson, A.O.; Boyd, R.L. Engineered CAR-T cells targeting TAG-72 and CD47 in ovarian cancer. Mol Ther Oncolytics. 2021, 20, 325–341. [Google Scholar] [CrossRef] [PubMed]
  336. Hege, K.M.; Bergsland, E.K.; Fisher, G.A.; Nemunaitis, J.J.; Warren, R.S.; McArthur, J.G.; Lin, A.A.; Schlom, J.; June, C.H.; Sherwin, S.A. Safety, tumor trafficking and immunogenicity of chimeric antigen receptor (CAR)-T cells specific for TAG-72 in colorectal cancer. J. Immunother. Cancer 2017, 5, 22. [Google Scholar] [CrossRef] [Green Version]
  337. Feng, D.; Shaikh, A.S.; Wang, F. Recent Advance in Tumor-associated Carbohydrate Antigens (TACAs)-based Antitumor Vaccines. ACS Chem. Biol. 2016, 11, 850–863. [Google Scholar] [CrossRef]
  338. Pifferi, C.; Ruiz-de-Angulo, A.; Goyard, D.; Tiertant, C.; Sacristán, N.; Barriales, D.; Berthet, N.; Anguita, J.; Renaudet, O.; Fernández-Tejada, A. Chemical synthesis and immunological evaluation of new generation multivalent anticancer vaccines based on a Tn antigen analogue. Chem. Sci. 2020, 11, 4488–4498. [Google Scholar] [CrossRef] [Green Version]
  339. Song, C.; Zheng, X.J.; Guo, H.; Cao, Y.; Zhang, F.; Li, Q.; Ye, X.S.; Zhou, Y. Fluorine-modified sialyl-Tn-CRM197 vaccine elicits a robust immune response. Glycoconj. J. 2019, 36, 399–408. [Google Scholar] [CrossRef]
  340. Wu, X.; McFall-Boegeman, H.; Rashidijahanabad, Z.; Liu, K.; Pett, C.; Yu, J.; Schorlemer, M.; Ramadan, S.; Behren, S.; Westerlind, U.; et al. Synthesis and immunological evaluation of the unnatural beta-linked mucin-1 Thomsen-Friedenreich conjugate. Org. Biomol. Chem. 2021, 19, 2448–2455. [Google Scholar] [CrossRef]
  341. Amon, R.; Rosenfeld, R.; Perlmutter, S.; Grant, O.C.; Yehuda, S.; Borenstein-Katz, A.; Alcalay, R.; Marshanski, T.; Yu, H.; Diskin, R. Directed Evolution of Therapeutic Antibodies Targeting Glycosylation in Cancer. Cancers 2020, 12, 2824. [Google Scholar] [CrossRef]
  342. Gogesch, P.; Dudek, S.; van Zandbergen, G.; Waibler, Z.; Anzaghe, M. The Role of Fc Receptors on the Effectiveness of Therapeutic Monoclonal Antibodies. Int. J. Mol. Sci. 2021, 22, 8947. [Google Scholar] [CrossRef]
  343. Vankemmelbeke, M.; McIntosh, R.S.; Chua, J.X.; Kirk, T.; Daniels, I.; Patsalidou, M.; Moss, R.; Parsons, T.; Scott, D.; Harris, G.; et al. Engineering the Human Fc Region Enables Direct Cell Killing by Cancer Glycan-Targeting Antibodies without the Need for Immune Effector Cells or Complement. Cancer Res. 2020, 80, 3399–3412. [Google Scholar] [CrossRef] [PubMed]
  344. Xiao, H.; Woods, E.C.; Vukojicic, P.; Bertozzi, C.R. Precision glycocalyx editing as a strategy for cancer immunotherapy. Proc. Natl. Acad. Sci. USA 2016, 113, 10304–10309. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  345. Gray, M.A.; Stanczak, M.A.; Mantuano, N.R.; Xiao, H.; Pijnenborg, J.F.A.; Malaker, S.A.; Miller, C.L.; Weidenbacher, P.A.; Tanzo, J.T.; Ahn, G.; et al. Targeted glycan degradation potentiates the anticancer immune response in vivo. Nat. Chem. Biol. 2020, 16, 1376–1384. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic representation of antitumor strategies based in antibodies and vaccines targeting TACAs (Tumor Associated Carbohydrate Antigens). mAbs (monoclonal antibodies); CAR-T (Chimeric antigen receptor-T); STn (sialyl Tn); SLeA (sialyl Lewis A); SLeX (sialyl Lewis X); LeY (Lewis Y); ADCC (Antibody-Dependent Cell-mediated Cytotoxicity); ADCP (Antibody-Dependent Cellular Phagocytosis); CDC (complement-dependent cytotoxicity).
Figure 1. Schematic representation of antitumor strategies based in antibodies and vaccines targeting TACAs (Tumor Associated Carbohydrate Antigens). mAbs (monoclonal antibodies); CAR-T (Chimeric antigen receptor-T); STn (sialyl Tn); SLeA (sialyl Lewis A); SLeX (sialyl Lewis X); LeY (Lewis Y); ADCC (Antibody-Dependent Cell-mediated Cytotoxicity); ADCP (Antibody-Dependent Cellular Phagocytosis); CDC (complement-dependent cytotoxicity).
Cancers 14 00645 g001
Table 1. Main tumor glycans targeted for cancer therapy.
Table 1. Main tumor glycans targeted for cancer therapy.
Tumor GlycanGlycan TypeStructure *Type of CancerFunction in CancerTherapeutic Strategy
GD2Ganglioside Cancers 14 00645 i001Glioma
Melanoma
Neuroblastoma
Retinoblastoma
Cell proliferation
Motility
Apoptosis resistance
mAbs Dinutuximab
Naxitamab
Bispecific-Abs
CAR-T cells
GD3Ganglioside Cancers 14 00645 i002Glioma
Melanoma
Breast, Lung
Cell growth
Invasion
mAb huR24
Anti-idiotypic mAb BEC2
GM3
(Neu5Gc)
Ganglioside Cancers 14 00645 i003Melanoma
Lung
Colon
Breast
Cell growth
Metastasis
mAb 14F7hT
Anti-idiotypic mAb Racotumomab
Synthetic vaccine
Fucosyl-GM1Ganglioside Cancers 14 00645 i004SCLCThe role in cancer is unclearHuman mAb
BMS-986012
Globo HGloboside Cancers 14 00645 i005Colon, Ovary, Breast, Prostate, Gastric, Lung, Endometrial, PancreaticAngiogenesis
Immunosuppression
Vaccine
mAb OBI-888
ADC OBI-999
Tn antigenO-GalNAc mucin-type Cancers 14 00645 i006CarcinomasMetastasis
Immuno-
suppression
Antibodies
Vaccine
CAR-T cells
STn antigenO-GalNAc mucin-type Cancers 14 00645 i007CarcinomasMetastasis
Immuno-
suppression
Antibodies
Vaccine
CAR-T cells
TF antigenO-GalNAc mucin-type Cancers 14 00645 i008CarcinomasCell growth
Adhesion
Vaccine
SLeAGlycoprotein
Gangliosides
Cancers 14 00645 i009Breast, Colon,
Gastric, Lung,
Ovarian, Pancreas
MetastasisAbs MVT-5873
177Lu- MVT-1075
Vaccine
SLeXGlycoprotein
Gangliosides
Cancers 14 00645 i010Colon, breast
melanoma, lung, liver
ovary, pancreas
Invasion
Metastasis
SLeX -liposomes
anticancer drug delivery
LeYGlycoprotein
Gangliosides
Cancers 14 00645 i011Lung, Ovarian,
Fallopian tube,
Breast
MetastasismAb hu3S193
m3s193 BsAb
DCA SGN-15
CAR-T cells
Poly-sialic acidGlycoprotein
Glycolipids
Cancers 14 00645 i012Neuroblastoma
Breast, Pancreas
Lung
Metastasis
Cell growth
Abs MY.1E12,
OL.28, MAB735
Vaccine
* Colored symbols represent the following monosacharides: yellow square: N-Acetylgalactosamine (GalNAc); blue square: N-Acetylglucosamine (GlcNAc); violet diamond: Sialic acid (NeuAc); orange diamond: N-glycolylneuraminic acid (Neu5Gc); yellow circle: Galactose (Gal); blue circle: Glucose (Glc); green circle: Mannose (Man); red triangle: Fucose (Fuc).
Table 2. Selected clinical trials of antibodies targeting tumor glycans.
Table 2. Selected clinical trials of antibodies targeting tumor glycans.
TargetDrug CandidatePhaseCancer TypeStatus
Time Period
CT ID
Refs
GD2
hu 14.18 (Dinutuximab)IIIHigh risk NeuroblastomaActive, not recruiting
October 2010–September 2021
NCT00026312 [36]
hu3F8 (Naxitamab) + GM-CSFIIHigh risk NeuroblastomaRecruiting
4/2018–11/2027
NCT03363373
hu3F8 + GM-CSFI/IIHigh risk NeuroblastomaActive, not recruiting
12/2012–12/2023
NCT01757626
[43,44]
Naxitamab
hu3F8 + GM-CSF + irinotecan and temozolomide
IIRecurrent NeuroblastomaRecruiting
11/2021–10/2026
NCT04560166
Dinutuximab
hu 14.18 + GM-CSF
IILung cancer
Osteosarcoma
Active, not recruiting
11/2015–10/2021
NCT02484443
hu3F8 + GM-CSFIIOsteosarcomaRecruiting
7/2015–7/2022
NCT02502786 [45]
hu14.18-IL2IIMelanomaCompleted
12/2007–11/2019
NCT00590824
[46,47]
I 131 mAb 3F8 + bevacizumabINeuroblastomaCompleted
8/2006–9/2015
NCT00450827
I 131 mAb 3F8ICentral nervous system, Leptomeningeal metastasesActive, not recruiting
1/2006–1/2022
NCT00445965
Hu3F8-Bispecific antibody (GD2-CD3)I/IINeuroblastoma
Osteosarcoma
Solid Tumors
Recruiting
2/2019–2/2022
NCT03860207 [48]
Anti-GD2/CD3 bispecific antibody (Nivatrotamab)I/IISCLCRecruiting
8/2021–12/2024
NCT04750239
GD3
PF-06688992
Anti-GD3/drug conjugated
IStage III/IV MelanomaCompleted
5/2017–1/2020
NCT03159117
Human Chimeric Ab KW2871 (ecromeximab)I/IIStage IV MelanomaTerminated 11/2004–2/2015NCT00199342
[49]
Human Chimeric Ab KW2871 (ecromeximab) + high dose IFN-α2bIIMetastatic MelanomaCompleted
3/2008–2/2018
NCT00679289
[50]
fucosyl-GM1
BMS-986012 + platinum + etoposideI/IISCLCActive, not recruiting
11/2016–4/2021
NCT02815592
BMS-986012I/IIRelapsed/refractory SCLCActive, not recruiting
11/2014–6/2022
NCT02247349
[51]
BMS-986012 + carboplatin + etoposide + nivolumabIIExtensive-stage SCLCRecruiting
3/2021–9/2024
NCT04702880
Globo H
OBI-888I/IIAdvanced and metastatic solid tumorsRecruiting
5/2018–12/2022
NCT03573544
OBI-999 immunotoxinI/IILocally advanced solid tumorsActive, not recruiting
12/2019–12/2023
NCT04084366
Tn antigen
Anti- TA-MUC1 (PankoMab-GEX™)ISolid tumorsCompleted
11/2009–5/2021
NCT01222624
[52]
Anti- TA-MUC1 (PankoMab-GEX™)IIRecurrent Ovarian cancer, Fallopian cancer, Peritoneal cancerCompleted
9/2013–10/2020
NCT01899599
[53]
Anti- TA-MUC1 (Gatipotuzumab) + anti-EGFR (Tomuzotuximab)ISolid tumorsCompleted
11/2017–7/2021
NCT03360734
[54]
TF antigen
yttrium Y 90-m170
cyclosporine
paclitaxel
IBreast cancerUnknown
3/2001–9/2013
NCT00009763
[55]
yttrium Y 90-m170
cyclosporine
paclitaxel
IProstate cancerUnknown
3/2001–9/2013
NCT00009750
[55]
LeA
hu mAb-5B1 (MVT-5873) + FOLFIRINOX1Pancreatic cancer or CA19-9 positive malignanciesRecruiting
1/2016–1/2023
NCT02672917
hu mAb-5B1 (MVT-5873)2Operable tumors expressing CA19-9Recruiting
11/2019–12/2024
NCT03801915 [56]
LeY
hu3S1931SCLCCompleted 2/2004–6/2015NCT00084799 [57]
hu3S1932Fallopian tube, Ovarian cancer, Primary peritoneal cancerCompleted
5/2008–6/2012
NCT00617773
[58]
SGN-15 + docetaxel2NSCLCCompleted
1/2003–10/2011
NCT00051571
[59]
Table 3. Selected clinical trials of anti-cancer vaccines based on tumor glycans.
Table 3. Selected clinical trials of anti-cancer vaccines based on tumor glycans.
TargetDrug CandidatePhaseCancer TypeStatus/
Time Period
CT ID
Refs
GD3
BEC2 + BCGIIISmall cell lung cancerCompleted
September 1998–April 2010
NCT00037713
[69]
BEC2 + BCGIIILung cancerCompleted
September 1999–July 2012
NCT00006352
[70]
BEC2 + BCGIIILung cancerCompleted
3/1998–3/2012
NCT00003279
[71]
Glycolyl GM3
RacotumomabIPediatric tumorsCompleted
2/2011–7/2015
NCT01598454
[72]
RacotumomabIIHigh risk NeuroblastomaActive, not recruiting
11/2016–9/2022
NCT02998983
RacotumomabIINSCLCCompleted
9/2009–7/2014
NCT01240447
RacotumomabIIINSCLCUnknown
9/2010–7/2016
NCT01460472
Globo H
OPT-822/OPT-821 + cyclophosphamideIIMetastatic breast cancerCompleted
12/2011–9/2020
NCT01516307
[73]
OBI 822(adagloxad simolenin)/OBI-821IIITriple negative breast cancerRecruiting
12/2018–12/2027
NCT03562637
Tn antigen
MAG-Tn3 + AS15IBreast cancerActive, not recruiting
2/2015–12/2021
NCT02364492
[74]
STn antigen
STn/KLH (THERATOPE®)IIIMetastatic breast cancerCompleted
1/1999–3/2013
NCT00003638 [75]
STn/KLH (THERATOPE®)IIMetastatic breast cancerCompleted
8/2002–1/2008
NCT00046371
[76]
TF antigen
TF(c)-KLH + QS211Prostate cancerCompleted
6/1998–3/2013
NCT00003819
[77]
Lewis
sialyl Lewis A-KLH + QS21 Metastatic breast cancerCompleted
3/2007–1/2020
NCT00470574 [78]
Polysialic acid
Polysialic acid-KLH + QS21IISmall cell lung cancerCompleted
8/1998–6/2013
NCT00004249
[79]
Polyvalent vaccines
Bivalent vaccine (GD2L/GD3L) + OPT-821I/IINeuroblastomaActive, not recruiting
5/2009–5/2023
NCT00911560
[67,68]
Trivalent vaccine GM2/GD2L/GD3L-KLH conjugated + OPT-821IISarcomaCompleted
6/2010–3/2017
NCT01141491
[68]
Globo-H-GM2-STn-TF-Tn-KLH- QS21IOvarian cancerCompleted
11/2010–03/2017
NCT01248273
[80]
Globo-H-GM2-LeY-MUC1-32(aa)-STn(c)-TF(c)-Tn(c)-KLH conjugate vaccine- QS21 High risk breast cancerCompleted
03/2001–12/2015
NCT00030823
GD2L, GD3L, Globo H, fucosyl GM1, and N-propionylated polysialic acid -KLH + OPT-821ISmall cell lung cancerCompleted
05/2011–01/2016
NCT01349647
Table 4. Selected clinical trials of CAR-T cells targeting tumor glycans.
Table 4. Selected clinical trials of CAR-T cells targeting tumor glycans.
TargetDrug CandidatePhaseCancer TypeStatus/PeriodCT ID
Refs
GD2
1RG-CART + Cyclophosphamide + FludarabineIRelapsed or refractory NeuroblastomaCompleted
February 2016–December 2020
NCT02761915
[313]
4SCAR-GD2INeuroblastomaSuspended January 2016–December 2022NCT02765243
[314]
GD2-CART01I/IINeuroblastoma and GD2 positive solid tumorsRecruiting May 2018–December 2027NCT03373097
[315]
GD2-CAR NKT cells (GINAKIT)INeuroblastomaRecruiting 1/2018–8/2034NCT03294954
[316,317]
MUC1/MUC1-Tn
MUC1-CAR+/PD-1- T cellsI/IINSCLCRecruiting 2/2018–1/2022NCT03525782
[321]
huMNC2-CAR44IMetastatic breast cancerActive
1/2020–1/2035
NCT04020575
[322]
CART-TnMUC1INSCLC, Ovarian cancer, Fallopian tube cancer, Triple negative breast cancer, Multiple myeloma, Pancreatic ductal adenocarcinomaRecruiting 10/2019–10/2036NCT04025216
CAR-T cells targeting PSCA, MUC1, TGFβ, HER2, Mesothelin, LeY, GPC3, AXL, EGFR, Claudin18.2, or B7-H3ILung cancerRecruiting 7/2017–8/2023NCT03198052
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Berois, N.; Pittini, A.; Osinaga, E. Targeting Tumor Glycans for Cancer Therapy: Successes, Limitations, and Perspectives. Cancers 2022, 14, 645. https://doi.org/10.3390/cancers14030645

AMA Style

Berois N, Pittini A, Osinaga E. Targeting Tumor Glycans for Cancer Therapy: Successes, Limitations, and Perspectives. Cancers. 2022; 14(3):645. https://doi.org/10.3390/cancers14030645

Chicago/Turabian Style

Berois, Nora, Alvaro Pittini, and Eduardo Osinaga. 2022. "Targeting Tumor Glycans for Cancer Therapy: Successes, Limitations, and Perspectives" Cancers 14, no. 3: 645. https://doi.org/10.3390/cancers14030645

APA Style

Berois, N., Pittini, A., & Osinaga, E. (2022). Targeting Tumor Glycans for Cancer Therapy: Successes, Limitations, and Perspectives. Cancers, 14(3), 645. https://doi.org/10.3390/cancers14030645

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop