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Review

Myeloid-Derived Suppressor Cells in Prostate Cancer: Present Knowledge and Future Perspectives

by
Filippos Koinis
1,2,
Anastasia Xagara
2,
Evangelia Chantzara
1,
Vassiliki Leontopoulou
1,
Chrissovalantis Aidarinis
1 and
Athanasios Kotsakis
1,2,*
1
Department of Medical Oncology, University General Hospital of Larissa, 41221 Larissa, Thessaly, Greece
2
Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500 Larissa, Thessaly, Greece
*
Author to whom correspondence should be addressed.
Cells 2022, 11(1), 20; https://doi.org/10.3390/cells11010020
Submission received: 17 November 2021 / Revised: 13 December 2021 / Accepted: 16 December 2021 / Published: 22 December 2021
(This article belongs to the Collection Feature Papers in ‘Cellular Immunology’)

Abstract

:
Several lines of research are being investigated to better understand mechanisms implicated in response or resistance to immune checkpoint blockade in prostate cancer (PCa). Myeloid-derived suppressor cells (MDSCs) have emerged as a major mediator of immunosuppression in the tumor microenvironment that promotes progression of various tumor types. The main mechanisms underlying MDSC-induced immunosuppression are currently being explored and strategies to enhance anti-tumor immune response via MDSC targeting are being tested. However, the role of MDSCs in PCa remains elusive. In this review, we aim to summarize and present the state-of-the-art knowledge on current methodologies to phenotypically and metabolically characterize MDSCs in PCa. We describe how these characteristics may be linked with MDSC function and may influence the clinical outcomes of patients with PCa. Finally, we briefly discuss emerging strategies being employed to therapeutically target MDSCs and potentiate the long-overdue improvement in the efficacy of immunotherapy in patients with PCa.

1. Introduction

The role of immunotherapy in the management of patients with prostate cancer (PCa) is controversial. PCa is the first adult solid tumor to benefit from a cancer vaccine (sipuleucel-T). Although its efficacy is only modest, this finding demonstrates the potential for immunotherapy in PCa patients. Promising preclinical [1] and clinical data [2,3] provided proof of concept for considering metastatic castration-resistant (mCRPC) patients as suitable candidates for treatment with immune checkpoint blockade (ICB). However, despite the efficacy in individual patients, phase III trials in unselected patients failed to demonstrate a survival benefit [4,5]. These results are not surprising given the absence of biomarkers to guide the selection of patients and monitor treatment efficacy or develop more effective combinatorial strategies [6].
Nonetheless, several preliminary findings suggest that the observed resistance to single-agent ICB is reversible. An integral component of these efforts is the understanding of the mechanisms usurped by the cancer to escape host immune surveillance. To this end, ICB is being combined with molecularly targeted agents [7,8,9]. Indeed, the immunosuppressive tumor microenvironment (TME) in PCa has been experimentally reversed using PARP inhibitors [7], second-generation antiandrogen blockade [10], or anti-VEGF treatment [11,12]. Despite the proposed mechanism that may account for the clinical observations, critical studies to link the experimental data with the clinical trial results have not been conducted. Thus, an emerging critical unmet need is to elucidate the mechanisms of resistance to ICB and leverage the understanding for developing predictive markers to inform the application of immunotherapy clinically.
The main premise being considered is that PCa develops potent immunosuppressive mechanisms, limiting the ability of the host immune system to detect cancer cells and control tumor growth. These include the negative regulators of T-cell function, such as CTLA-4 and PD-1 [13], and the immune camouflage (low levels of surface MHC and low mutational load) of PCa cells [14]. At a cellular level, complex interactions between innate and adaptive immune compartments, as well as the role of the endothelial cells and the vasculature, have been considered to function towards the establishment of cell-mediated immunosuppression [15]. To this end, MDSCs have been identified as key contributors to the establishment of an immunosuppressive and pro-tumorigenic TME in PCa.

2. MDSCs in Cancer

MDSCs were first described in the early 1970s as a cell population that naturally suppresses the activity and function of cytotoxic T cells [16,17]. Notably, this cell population was phenotypically distinct from B and T lymphocytes, NK cells and macrophages, but similar to monocytes and neutrophils [18]. Interestingly, these dedifferentiated cells could functionally inhibit anti-tumor immune activity and promote immune evasion [19]. More than three decades of research on elucidating the origin and biological activity of this population led, in 2007, to the establishment of their name [20]. We now know that MDSCs are a highly heterogeneous population of cells originating from the bone marrow with immunosuppressive activity. Two distinct MDSC subpopulations have been identified in humans: a population resembling immature granulocytes (G-MDSC) and a population with a monocytic morphology (M-MDSC) [21]. Each has discrete immunosuppressive properties including inhibition of T-cell activation [22], dendritic cell maturation [23], induction of anergy of natural killer cells [24], and promotion of a de novo expansion of Tregs [25] in different types of malignancies. In addition to their immune-suppressive properties, MDSCs in the TME can differentiate into endothelial cells, fibroblasts, tumor-associated macrophages (TAMs) [26], and osteoclasts [27] under the influence of chemokines released by tumor cells (Figure 1) and thus play a pivotal role in the establishment of the pre-metastatic niche. Accumulation of MDSCs in the TME in experimental animal models as well as in patients with different types of cancer (e.g., lung, head and neck, renal, breast, and prostate cancer) has been associated with disease progression and poor prognosis [28,29].

3. Main Phenotypic and Functional Characteristics of MDSCs

During the past decade, both the definition and classification of MDSC populations have become increasingly complex. MDSCs in tumor-bearing mice are well defined and classically divided into M-MDSCs (CD11b+/Ly6C+) and G-MDSCs (CD11b+/Ly6G+). Comprehensive transcriptomic and cell profile analysis identified MDSCs as a major TME population in PTEN/Smad4 deficient background of PCa tumors [30,31]. Further, a recent study confirmed that G-MDSCs represent the prevalent MDSC subpopulation in PC3 tumor-bearing mice and anti-Gr-1 treatment resulted in a significant reduction of these cells in the peripheral blood and the TME.
However, as noted in other tumor types [32], G-MDSCs may not be the predominant MDSC subpopulation in human patients, thus adding in the complexity of establishing murine models that precisely reflect aspects of the clinical PCa. Indeed, in humans, these cells are less clearly defined. Classically, they are described as lineage cells that coexpress CD11b and CD33 but lack HLA-DR. They are divided into two main MDSC subsets: M-MDSCs (CD14+) and G-MDSCs (CD15+). Additional functional markers have also been attributed to MDSCs, such as Arg-1, ROS, iNOS, IDO, and CD124, which all mediate immunosuppression [33]. Efforts being mounted on the phenotypic characterization of the MDSCs have highlighted subpopulations that have clinical significance in PCa patients. Vuk-Pavlović et al. first described a CD14+HLA-DRlow/− cell population with immunosuppressive properties that is isolated in greater percentage from the blood of PCa patients compared to age-matched healthy controls. They also observed that the levels of these circulating cells were further increased in patients receiving hormonal treatment [34]. Subsequently, Chi et al. reported that the CD33+CD11b+HLA-DRCD14 subpopulation is the predominant among newly diagnosed treatment-naïve PCa patients [35]. In a combined approach of studying immunosuppressive cells (MDSCs and regulatory T cells (Tregs)) in patients with mCRPC, Idorn et al. reported that a circulating CD14+HLA-DRlow/neg M-MDSC subset was significantly increased in the peripheral blood of patients compared to healthy donors [36]. More recently, Mehra et al. undertook a more comprehensive characterization of MDSCs in 46 mCRPC patients. They identified four phenotypically distinct subpopulations that were increased in the circulation and are associated with resistance to treatment [37]. Finally, Wen et al. focused on a G-MDSC subpopulation, defined as CD11b+CD33+CD15+ cells, and showed that these cells were upregulated in the stroma of metastatic sites (bone and lymph nodes) compared to the stroma of primary tumors [38]. Based on these data, the absence of a widely accepted protocol for the phenotypic characterization of MDSCs in PCa is unambiguous, necessitating the vital need for the development of novel strategies to organize all these data into a clinically meaningful consensus. This will provide recommendations to guide scientists in this field of MDSC-related research and serve as foundation for fruitful research projects.

4. Mechanisms Underlying MDSC-Mediated Immunosuppression in PCa

In recent years, studies have been focused on delineating the mechanism by which MDSCs induce PCa progression. As mentioned above, expansion and activation of MDSCs in the TME leads to immunosuppression and cancer development by targeting different innate and adaptive immunity cells and functions. Activated MDSCs exert their immunosuppressive and protumorigenic properties primarily through direct cell-cell contact or release of cytokines and short-lived factors. The PTEN-null prostate cancer mouse model recapitulates the main genetic alterations and disease hallmarks and thus is used for detailed assessment of the mechanistic role of MDSCs [39]. Moreover, in this non-human model, due to PTEN loss, elevated numbers of Gr-1+CD11b+cells are detected in the TME compared to wild-type mice. These numbers can be additionally increased in a disease progression and age-related manner [30,39,40]. In this context, proinflammatory cytokine response genes CSF-1 and IL1b induced in prostate epithelial cells cause tumor development via MDSC expansion that further leads to immune suppression [40]. This phenotype can be reversed by treatment with the selective CSF-1 receptor inhibitor GW2580, which reduces the MDSCs infiltration and subsequently alleviates the associated immunosuppressive phenotype [40]. The most important expression of IL-10 by these PTEN-null prostate MDSCs were found to be responsible for the suppression of DC and macrophage maturation [40]. The inflammatory cytokine IL-23 is produced by MDSCs and has been recently linked to CRPC development, since it induces the transcription of AR target genes through STAT3-RORγ pathway, leading to the proliferation of cancer cells and tumor progression [41].
An important transcription factor that plays a central role in the generation and function of MDSCs is STAT3 [42,43,44]. pSTAT3 is activated by various cytokines such as IL-6, IL-1b, IL-10, GM-CSF, and VEGF secreted mainly in the TME by tumor cells [45]. In an orthotopic PCa mouse model, pSTAT3 inhibition in MDSCs abrogated tumor growth and metastasis [46]. Hellsten et al. showed that GM-CSF secreted by PCa cells promoted MDSC generation via pSTAT3. In response, MDSCs secreted IL-6, IL-1b, and IL-10, which induced immunosuppression [47]. Additionally, by using a STAT3 inhibitor, IDO levels were significantly reduced [47]. IDO catalyzes the degradation of tryptophan, leading to accumulation of metabolites such as kynurenine [48,49], that suppress T cells via inhibition of their expansion and recruitment of T regs [50,51]. Toll-like receptor 9 (TLR9) signaling in PCa cells can additionally stimulate the STAT3 pathway in MDSCs [52]. The TLR9 signaling pathway can induce PCa cell propagation and self-renewal in AR-indifferent disease state [53,54]. In order to study the immunosuppressive function of TLR9-mediated MDSCs, Won et al. used two different PCa cell lines with inducible tlr9 implanted in C57/BL6 mice. TLR LIF–mediated STAT3 signaling in PMN-MDSCs induced the expression of S100A8, S100A9, and C/EBPb that, in turn, augmented tolerogenic activity by reducing T cell stimulation [52].
Metabolite depletion, such as for L-arginine (L-Arg), by MDSCs is another biological process that can lead to immunosuppression. L-Arg is an important non-essential amino acid crucial for mammalian immune system function. Its depletion shortens T-cell antigen receptor CD3ζ- chain mRNA half-life, leading to T-cell dysfunction [55,56]. Moreover, hydrolysis of L-Arg leads to the production of NO and ROS [57]. In PCa murine models, Bozkus et al. showed that extracellular Arg1 is transported into MDSCs by the upregulation of cationic amino acid transporter 2 (Cat2). Depletion of CAT2 abrogated the suppressive function of MDSCs on T-cells via reduction of intracellular L-Arg levels and led to further decreased tumor growth [58]. Hossain and colleagues highlighted the role of a TLR9-STAT3-Arginase-1 pathway in the inhibition of autologous CD8+ T-cell proliferation and cytotoxic activity by a G-MDSC population (LinCD15HICD33LO) that is expressed in PCa patients [42]. Other alterations in the metabolism of MDSCs, such as upregulation of glycolysis, are also implicated in the establishment of an immunosuppressive TME [59,60]. A recent study using the TRAMP C2 CRPC tumor model suggested that the AR signaling pathway regulates the ability of MDSCs to suppress adaptive immunity. Inhibition of AR signaling on MDSCs with enzalutamide suppressed mitochondrial respiration via MPC/AMPK signaling pathways. The subsequent induction of glycolysis led to increased VEGF and Arg1 expression in MDSCs that further increased their suppressive activity and promoted tumor growth [61].
Reactive nitrogen species (RNS) are chemical modifiers that induce nitration of chemokines and receptors of T cells, leading to reduced T-cell infiltration and impaired T-cell function in various cancers [62,63]. Nitration of proteins is a form of post translational modification that converts tyrosine (Tyr) to 3-nitrotyrosine (3-NT), which differ in their chemical properties, and thus leads to different signaling activity [64,65]. In a CRPC mouse model, Feng et al. showed that MDSCs nitrate the lymphocyte-specific protein tyrosine kinase (LCK) at Tyr394. As LCK is a tyrosine kinase of the T cell receptor signaling cascade, nitration inhibited T-cell activation, leading to reduced interleukin 2 (IL2) production and proliferation [66]. Nitration of LCK by MDSCs is possibly mediated via induction of eNOS and iNOS/NO pathway [62].
Neutrophil elastase (NE) is a protease encoded by the ELANE gene with an established protumorigenic role in various cancer types [67,68,69]. It has been shown in murine models that NE stimulates tumor growth, while deletion of the corresponding gene results in tumor mass reduction [68]. There is evidence that the tumor-promoting capacity of NE is linked to its immunosuppressive properties [70,71]. In a PΤΕΝ-null PCa mouse model, Lerman and colleagues found that NE activity was significantly upregulated and, most importantly, that this was accompanied by expansion of MDSCs [72]. Additionally, they showed that a specific subpopulation of MDSCs produced NE at the TME of PCa [72]. Thus, NE production may confer the immunosuppressive effect of MDSCs and, in part, drive PCa development and progression.
CXCR4 is a chemokine receptor type 4 (CXCR-4) that signals through its ligand stromal cell-derived factor 1α (SDF1α or CXCL12). Normally, it is expressed at low levels but can be found at high concentrations in tumor cells, where it is mainly linked to metastatic potential [73]. MDSCs produce high levels of ROS that increases CXR4 levels, which, in turn, attract MDCSs in the TME [74]. Interestingly, CXCR4 has been shown to exert immunosuppressive properties by suppressing CD8+ T cell activity, increasing Tregs and inducing polarization of TAMs [75,76,77]. In PCa, CXCR4 expression induces the development of bone metastasis [78] that can be reversed upon its inhibition [79].
There is evidence that prostaglandin (PG)E2 is another factor implicated in the induction of MDSCs and their suppressive functions in cancer patients [80]. Tomic and colleagues showed that PGE2 potentiated the GM-CSF/IL-6–dependent induction of M-MDSCs [81]. Additionally, PGE2 reduces the capacity of the generated M-MDSCs in vitro to produce proinflammatory cytokines upon activation but increase their capacity to produce IL-27, IL-33, and TGF-β. These alterations lead to the induction of different subsets of Tregs, favoring IL-10 production by CD4+FoxP3 type 1 Treg, and subsequently lower capacity to induce TGF-β-producing FoxP3+ Tregs by increasing IDO-1 expression [81]. Collectively, PGE2 M-MDSCs were correlated with suppression of T-cell proliferation, expansion of alloreactive Th2 cells, and reduction of development of Th17 and cytotoxic T cells. In prostate cancer patients, PEG-2 is expressed in high levels. Its expression is correlated with COX-2 inhibition [82,83], induction of M-MDSCs, and subsequent suppression of cytotoxic T cells [84].
Lastly, it is worth mentioning the impact of metabolic pathways in regulating MDSC function. In the tumor microenvironment, due to lipid accumulation, MDSCs undergo metabolic reprogramming and induce fatty acid uptake [85]. Fatty acid oxidation (FAO) as a source of energy for MDSCs in mice increases their immunosuppressive activity, while treatment with FAO inhibitors is able to improve anti-tumor immunity [86]. b-adrenergic receptor (b-AR), a stress signaling receptor, is also implicated in anti-tumor immune response. b2-AR is activated in MDSCs upon stress and its signaling enhances MDSCs accumulation in the tumor microenvironment [87]. Most important mechanistically, b2-AR signaling in MDSCs increases FAO among with the expression of the fatty acid transporter CPT1A, supporting the FAO mediated immunosuppression. Additionally, b2-AR signaling increases autophagy and activates the arachidonic acid cycle, which, in turn, induce the release of PGE2 [88]. Adrenergic signaling in prostate cancer cells affect apoptosis, angiogenesis, epithelial-mesenchymal transition, migration, and metastasis. Additionally, epidemiologic studies have shown that the blocking of β-adrenergic receptors results in reduced prostate cancer mortality [89]. Given the fact that, in mice with prostate cancer, b2-AR activation by stress induces MDSCs accumulation on tumor site, is reasonable to hypothesize that the immunosuppressive functions of such metabolic pathways in prostate cancer are correlated with MDSCs.
Irrespective of the underlying mechanism of action, it has been demonstrated that MDSCs are implicated in resistance to ICB and that their suppression reverses the observed resistance in PCa tumor models [13]. However, thus far, these promising murine data failed to be translated to and validated in humans. By exploiting existing expertise in studying the immune system, in vitro and in vivo efforts have been increased to bridge these knowledge gaps and revolutionize MDSC definition, identification, and ultimately, targeting of their immunosuppressive activity.

5. Clinical Significance of MDSCs in PCa

Several reports indicate a significant accumulation of various MDSC subtypes in the peripheral blood of PCa patients compared with healthy individuals. Their absolute numbers at baseline, as well as changes observed during different treatment interventions, could potentially represent a novel predictive/prognostic biomarker. A study including 23 PCa patients revealed that the CD14+HLA-DRsubset was increased compared to healthy donors and was significantly reduced after prostatectomy [90]. The frequency and the absolute numbers of MDSCs have been found to be significantly higher at the time of diagnosis of PCa patients compared to healthy age-matched donors [91]. Most importantly, MDSC levels have been linked with disease burden and levels of PSA in series of PCa patients. In addition, their levels have been correlated with clinical outcome upon different therapeutic interventions. In one of the first clinical studies investigating the significance of MDSCs as a biomarker in PCa, researchers compared newly diagnosed untreated PCa patients with patients under standard adjuvant therapy. The percentage of CD14+HLA-DRlow/− fraction was higher in the previously treated patients compared to the untreated [34]. This monocytic fraction was associated with PSA levels and was able to suppress the autologous T-cell proliferation [34]. The suppression of effector T cells by monocytic MDSCs was also confirmed by Idorn and colleagues [36]. In this study, the induction of M-MDSCs was correlated with established negative PCa prognostic markers, including elevated levels of lactate dehydrogenase (LDH) and PSA [36]. Notably, high M-MDSC levels before treatment were associated with a shorter median overall survival (OS) [36]. Similarly, high pretreatment M-MDSC (CD14+HLA-DR) levels were linked with reduced OS in 28 CRPC patients treated with the GVAX vaccine and ipilimumab [92]. Koga et al. performed a phase II trial with 70 CRPC chemotherapy-resistant patients that were randomized to receive personalized peptide vaccination (PPV) plus herbal medicines (HM) or PPV alone. In contrast to the combination treatment, PPV alone resulted in an increase in M-MDSs. Patients with increased M-MDSCs after treatment demonstrated a significantly shorter survival compared to other patients [93]. Finally, a study investigating the addition of low dose cyclophosphamide to PPV in a cohort of 70 patients with mCRPC linked a decrease in the levels of M-MDSCs during treatment with an improvement in OS [94]. Taken together, these data indicate that the monocytic fraction of immunosuppressive MDSCs is linked with a higher disease burden and subsequent poor clinical outcomes in PCa. However, other studies pinpoint the granulocytic fraction as the main influencer of prognosis [35,42,95].
A study by Chi and colleagues reported that G-MDSCs were the predominant subset in PCa. This subpopulation was correlated with elevated serum IL-8 and IL-6 levels, as well as with reduced OS and poor prognosis, highlighting their prognostic significance in PCa [35]. Similarly, Hossain et al. demonstrated a correlation between cancer stage and G-MDSC levels [42]. SIeminnska and colleagues revealed higher percentages of G-MDSCs in the peripheral blood of PCa patients than in healthy donors, as well as lower percentages in treated patients compared to the untreated group. However, in this study, the level of G-MDSCs (or even M-MDSCs) was not correlated to tumor grade and clinical stage of the disease [95], most likely due to the limited number of patients included in the different subgroups. Thus, although PSA levels were correlated with MDSC levels, no correlation between PSA levels and clinical stage or tumor grade was detected. As PSA is a well-established and validated surrogate marker for disease stage, this finding indicates that, in this study, subgroup analysis cannot support definitive conclusions. Conclusively, more than 10 years after the pivotal studies on the prognostic value of MDSCs in PCa, there is still controversy regarding the most clinically relevant MDSC subpopulations. It is evident that more homogeneous clinical studies with large patient samples are needed to clearly define the main MDSC phenotype with predictive/prognostic value.

6. Limitations in the Study of MDSCs in PCa

Indeed, based on experimental findings, the investigation of the role of MDSCs in PCa progression and resistance to therapy is among the chief research priorities to improve the efficacy of ICB [30,37]. However, knowledge gaps have limited our ability to translate preclinical observations clinically. Significant causes of these gaps are PCa models that cannot reflect the complexity of human PCa with reasonable fidelity, differences between human and murine immune system, and challenges in profiling the immune status clinically. Furthermore, technical issues may account for a specific bias in the study of MDSCs, which should also should be considered. For example, as cryo-preservation can affect not only MDSC phenotyping but also functional assays [96], analysis should be performed on fresh samples (within 4 h of blood sampling). Moreover, obtaining a sufficient number of MDSCs from peripheral blood and tissues, especially at a purity that is suitable for functional analysis, can be a difficult task, especially considering the diversity of PCa patients included in the above-mentioned studies.
From a biological point of view, the plasticity of this heterogeneous cell population may add to the complexity of studying them. As several mediators that account for the MDSC function are subject to post-transcriptional regulation, genome, and RNA sequencing might be insufficient to accurately characterize MDSCs. In this case, other profiling routes, such as proteomics technology, should be considered. Furthermore, PCa is a complex disease that encompasses a range of advanced disease states with different predominant molecular biology and drivers of progression [97,98]. Therefore, study of MDSCs should consider the inherent biological heterogeneity of each disease state that may lead to significant differences in the clinical significance of various MDSCs subpopulations, influenced by their different biologic backgrounds. For example, increased frequency of both G- and M-MDSCs and increased levels of G-MDSCs have been reported in the peripheral blood of CRPC patients with MYC-amplified tumors and tumors with RB-1 loss, respectively [37]. More importantly, there are clear discrepancies observed in these studies as they used different markers to detect MDSCs among patients, which makes the results less generalizable. Consequently, it is mandatory that future studies should enroll more homogeneous groups of patients in terms of disease state (hormone naïve versus castration resistant), disease burden, and therapeutic regimens used in order to achieve a more precise definition of MDSCs and to establish a “universal language” in MDSC-related PCa research.

7. Targeting MDSCs

The development of novel insights into the genetic and molecular mechanisms that govern the immunosuppressive function of MDSCs has revitalized the concept of targeting these cells in order to enhance anti-tumor immune responses and to improve therapeutic interventions. Current strategies proposed to target MDSCs can be grouped into the following overlapping concepts: (1) deplete MDSCs; (2) impair MDSC function through inhibition of their immunosuppressive mediators; (3) disrupt MDSC recruitment and tumor trafficking; (4) stimulate MDSC maturation by promoting their differentiation. These are summarized in Table 1.

7.1. Depletion of MDSCs

Conventional anticancer therapies have been tested with conflicting results. There are limited and often inconsistent preclinical and clinical data regarding the effect of several chemotherapy agents on the expression of specific MDSC subpopulations with prognostic significance in various tumor types. Despite encouraging results in preclinical models with paclitaxel [106] and cyclophosphamide [107], they were not confirmed in a cohort of breast cancer patients [28]. Similarly, 5-fluorouracil (5-FU) was proven to induce apoptosis of MDSCs and enhance the antitumor immune response in tumor-bearing mice [108]. However, capecitabine, an oral prodrug of 5-FU, failed to consistently exert an inhibitory effect on a specific CD11b (+) MDSC subpopulation in patients with advanced pancreatic cancer [109,125]. Moreover, while FOLFIRI (5-FU with irinotecan) treatment was linked with an increase of MDSC percentage in the peripheral blood of patients with colorectal cancer, treatment with FOLFOX (5-FU plus oxaliplatin) was associated with a statistically significant decrease in the levels of circulating MDSCs [109]. Hence, their transient depletion induced by chemotherapy is currently considered a less promising strategy for the selective eradication of MDSCs, as these agents display a differential effect on the different MDSC subpopulations across various tumor types.
In addition, similar discrepancies have been reported for the use of targeted treatment. Various tyrosine kinase inhibitors (TKIs), including sunitinib [100], dasatinib [101], nilotinib, and sorafenib [102] have demonstrated a detrimental effect on the survival of MDSCs in vitro. This link was not as straightforward as expected in vivo. However, the addition of bevacizumab, a monoclonal antibody targeting VEGF-A, to conventional chemotherapy was associated with a significant decrease in the levels of circulating G-MDSCs in patients with metastatic non-small cell lung cancer [22]. Hence, as induction of hypoxia has been shown to promote recruitment of MDSCs in the tumor microenvironment [104], bevacizumab may increase the percentage of tumor-infiltrating MDSCs, as opposed to the reported reduction in the periphery. Nonetheless, encouraging results were reported recently when combinatorial strategies were deployed in a mCRPC mouse model by Lu et al. [103]. Although cabozantinib and BEZ235 (a PI3K/mTOR inhibitor) as single agents failed to exert any inhibitory effect on MDSCs, the combination of these drugs with immune checkpoint inhibitors managed to elicit robust antitumor immune responses and phase III clinical trials (e.g., CONTACT-02) are currently underway.
Finally, monoclonal antibody (moAb)-mediated MDSCs depletion has recently shown some promise. Qin et al. generated a novel peptibody (Pep-H6) targeting S100A9 on MDSCs surface that was shown to successfully deplete both G- and M-MDSCs and inhibit tumor growth in tumor-bearing mice [99]. Interestingly, following encouraging results from a phase II trial, tasquinimod, an oral S100A9 inhibitor, was tested in a large phase III trial that enrolled patients with mCRPC with bone metastases. Although there was a clear benefit for PFS, tasquinimod as monotherapy failed to improve OS. However, clinical trials aiming to exploit the synergistic effect of S100A9 inhibition with immune checkpoint blockade (ICB) are ongoing. Notably, gemtuzumab ozogamicin, a novel anti-CD33 antibody drug conjugate, has emerged as a propitious treatment strategy to effectively deplete MDSCs in various tumor types and augment anti-tumor immune responses in a clinically relevant manner [105]. As CD33 is a common surface marker for both G- and M-MDSCs, it is hypothesized that gemtuzumab ozogamicin could be used as part of combinatorial strategies to potentiate immune checkpoint treatment by converting “immune cold” tumors into “hot”. Clinical phase II trials in patients with solid tumors are being planned.

7.2. Impairment of MDSCs Function

Approaches aiming to neutralize the key mediators of MDSC immunosuppressive function have been also tested. Small molecule inhibitors targeting IDO, ARG, iNOS, cyclooxygenase 2 (COX2), STAT3, and phosphodiesterase type 5 (PDE5) have shown some preclinical activity, but clinical application of these agents as monotherapy has failed to improve the clinical outcome of patients with solid tumors. As an example, epacadostat, an IDO1 inhibitor, has shown limited efficacy as single agent in a phase II trial [126]. Moreover, entinostat, an oral histone deacetylase (HDAC) inhibitor that inhibits PCa tumor growth in vitro and in vivo in mouse models, has failed to demonstrate efficacy in a small cohort of mCRPC patients [112]. However, combination strategies have attempted to exploit the synergistic effects of these molecules with chemotherapy or immunomodulatory agents and produced interesting results that warrant further investigation. In particular, ASP9853, an iNOS inhibitor, in combination with a taxane appeared to be active in patients with various advanced solid tumors. Nevertheless, concerns raised due to toxicity issues halted any further development for this strategy [110]. On the other hand, ICB-based combinations seem to provide a better tolerated option and many clinical trials are underway. Hence, following promising results in PCa preclinical models [66], reactive nitrogen species (RNS) are being combined with ICB for the treatment of patients with CRPC. Similarly, a phase I/II clinical trial that is currently accruing patients is testing the addition of epacadostat to a brachyury-targeted antitumor vaccine, an IL-15 superagonist, and a TGF-β TRAP/anti-PD-L1 antibody in patients with mCRPC [111]. Encouraging preliminary results have also been reported from a phase Ib trial investigating the addition of vorinostat, a HDAC inhibitor, to pembrolizumab in a small cohort of patients with PCa [113]. Furthermore, inhibition of arginase has been shown efficacious combined with anti-PD1 blockade in vitro and in tumor-bearing mice; a phase 2 clinical trial has been initiated to clinically test this combination strategy [114]. Finally, Hossain et al. have developed a novel strategy to target the immunosuppressive function of MDSCs by TLR9-targeted STAT3 inhibition through si-RNA technologies in patients with CRPC experiencing disease progression [42]. These results have provided a solid background from which to launch a clinical trial.

7.3. Hampering MDSCs Recruitment

Inhibition of molecular pathways that regulate MDSC tumor infiltration has also been investigated in various tumor types. Indeed, treatment of tumor-bearing mice with a CCR-5 or a CSFR1-targeted tyrosine kinase antagonist improved the efficacy of anti-PD1 treatment and impeded tumor growth by significantly decreasing the percentage of intra-tumoral MDSCs [115,116]. In fact, previous reports implicating these pathways in the emergence of immune-mediated resistance to androgen blockade [117] also suggest that CSFR1 and CCR-5 may be promising targets for augmenting the efficacy of immunotherapy approaches in patients with CRPC. Additionally, inhibition of CXCR2 signaling appears to directly decrease the accumulation of tumor infiltrating MDSCs in PCa models. Wang et al. reported inhibition of tumor growth and improved survival outcome with the addition of a CXCL2 antagonist SB255002 to ICB in the PTENpc−/−Smad4pc−/− PCa model [30]. Moreover, a pivotal work by Lopez-Bujanda et al. has demonstrated increased efficacy of anti-CTLA4 blockade with the addition of anti-CXCR2 (IL-8 receptor) targeted treatment in the MyC-CaP mouse model. However, this beneficial effect appears to be heavily dependent on the context and the timing of therapy administration. As studies observed an IL-8 upregulation following progression on ADT, enhanced anti-tumor responses might be induced with initial treatment with ADT in the hormone sensitive disease and not after the emergence of CRPC [118]. A phase Ib/II clinical trial is currently underway testing this combination in patients with castration-sensitive PCa (NCT03689699).

7.4. Targeting MDSC Development/Maturation

Impairment of immature myeloid cell (IMC) differentiation into immune effector cells is linked with the accumulation of MDSCs and their immunosuppressive capability. Therefore, strategies to promote their differentiation process or even to transform them into immunostimulatory cells may be beneficial. Although convincing clinical data are missing, current research in this field holds promise for the development of future therapeutic combinations. Indeed, a growing amount of evidence suggests that various agents, including chemotherapy, differentiation-promoting vitamins, inhibitors of the metabolic stress axis, and facilitators of normal myelopoiesis could induce MDSC maturation. Vitamin D3 [119], as well as vitamin A and all-trans retinoic acid (ATRA) [120] have been reported to promote differentiation of MDSCs into macrophages, dendritic cells, and granulocytes in murine models and human studies. Notably, ATRA treatment has been shown to increase the efficacy of ICB [127] and antiangiogenic treatment [128] in melanoma patients and breast cancer models, respectively. Furthermore, preclinical data suggest that casein kinase 2 inhibitors can effectively modulate MDSCs in the TME by disrupting aberrant myelopoiesis in tumor-bearing mice. Interestingly, combination treatment with anti-CTLA4 further enhanced the anti-tumor effect and significantly inhibited tumor growth compared with ICB alone in various tumor models [124]. Similarly, genetically provoked upregulation of IRF8 expression, a transcriptional activator of PMN-MDSC maturation, decreased the percentage of MDSCs in the TME by promoting cellular lineage differentiation. Encouragingly, anti-CTLA4 treatment significantly decreased tumor growth in IRF8-transgenic mice compared to wild-type mice [129]. Finally, targeting endoplasmic reticulum (ER) or metabolic stress has also shown some potential [130]. To this end, pivotal studies have assessed the role of chemical chaperones such as tauroursodeoxycholic acid (TUDCA) [121], inhibition of AMPKa [122] or PERK [123], and etomoxir, an irreversible CPT1a inhibitor that suppresses fatty acid oxidation [59] in transforming MDSCs into immune-enhancing cells. Redirection of MDSC function has been shown to be feasible. This strategy has gained scientific interest, and research funding has been directed towards drug development.
While these data provide compelling evidence that this approach could represent a novel MDSC-directed treatment strategy, the mechanistic translational studies that link the preclinical observation to the clinical outcome of the patients are lacking. However, the number of patients included in these studies is small and further confirmation in larger studies is certainly needed.

8. Future Perspectives

Despite the limitations, the above-presented data support the notion that MDSCs play a key role in the immune-resistant phenotype in PCa. A better understanding of the role of MDSCs in PCa progression and resistance to therapy will provide an insight into the clinical relevance of MDSCs. To better recognize their role and elucidate their contribution to PCa growth and progression, it is necessary to accurately characterize the subsets of MDSCs in PCa patients and gain a better understanding of their generation, expansion, and function in the peripheral blood as well as the TME. Because of their heterogeneous composition, phenotyping these cells with fidelity requires a multicolor approach (CyTOF) with the simultaneous use of different markers so that the expansion of all MDSC subsets can be appreciated. In addition, the confirmation of the immunosuppressive capacity—a hallmark of their activity—of the identified MDSC subpopulations is considered mandatory. In fact, as these cells share the same functional properties in humans and mice, the development of functional assays will allow researchers to link MDSCs in murine models to clinical observations in patients and thus bridge the gap between bench and bedside. This process of precise definition of MDSCs through identification of specific phenotypic markers combined with the utilization of functional characterization will provide the foundational observations for future MDSC-related applied research.
The second step would be to measure the changes in MDSC frequency and functionality through the course of the disease. This study would deliver robust information on the prognostic and predictive significance of MDSCs in the various disease states of PCa (hormone-naïve, castration resistant, AR-indifferent), and ultimately, it will inform the development of MDSC-targeting therapies.
Ultimately, improving the understanding of MDSCs will be necessary to efficiently develop strategies to monitor and then target tumor-related immunosuppression. Thus far, the efficacy of strategies combining molecular targeted therapies with immunotherapy has shown promise, but these clinical observations need confirmation and the development of predictive biomarkers that will lead to a truly targeted application. Future projects will need to generate high-quality datasets, which will enrich our knowledge of MDSCs and generate the critical knowledge that will lead to the development of MDSC-targeting combinatorial strategies in order to increase the efficacy of ICB in PCa.

Author Contributions

This work was conceptualized by F.K., A.X. and A.K.; Preparation of the original draft was completed by F.K., A.X., E.C., V.L., C.A. and A.K.; Writing, proofreading, and editing were completed by all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

Special thanks to Vasso Athanasaki for her excellent scientific secretary assistance.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kwon, E.D.; Hurwitz, A.A.; Foster, B.A.; Madias, C.; Feldhaus, A.L.; Greenberg, N.M.; Burg, M.B.; Allison, J. Manipulation of T cell costimulatory and inhibitory signals for immunotherapy of prostate cancer. Proc. Natl. Acad. Sci. USA 1997, 94, 8099–8103. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Snyder, A.; Makarov, V.; Merghoub, T.; Yuan, J.; Zaretsky, J.M.; Desrichard, A.; Walsh, L.A.; Postow, M.A.; Wong, P.; Ho, T.S.; et al. Basis for Clinical Response to CTLA-4 Blockade in Melanoma. N. Engl. J. Med. 2014, 371, 2189–2199. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Graff, J.N.; Puri, S.; Bifulco, C.B.; Fox, B.A.; Beer, T.M. Sustained Complete Response to CTLA-4 Blockade in a Patient with Metastatic, Castration-Resistant Prostate Cancer. Cancer Immunol. Res. 2014, 2, 399–403. [Google Scholar] [CrossRef] [Green Version]
  4. Beer, T.M.; Kwon, E.D.; Drake, C.G.; Fizazi, K.; Logothetis, C.; Gravis, G.; Ganju, V.; Polikoff, J.; Saad, F.; Humanski, P.; et al. Randomized, double-blind, phase III trial of ipilimumab versus placebo in asymptomatic or minimally symptomatic patients with metastatic chemotherapy-naive castration-resistant prostate cancer. J. Clin. Oncol. 2017, 35, 40–47. [Google Scholar] [CrossRef] [PubMed]
  5. Kwon, E.D.; Drake, C.G.; Scher, H.I.; Fizazi, K.; Bossi, A.; Van den Eertwegh, A.J.M.; Krainer, M.; Houede, N.; Santos, R.; Mahammedi, H.; et al. Ipilimumab versus placebo after radiotherapy in patients with metastatic castration-resistant prostate cancer that had progressed after docetaxel chemotherapy (CA184-043): A multicentre, randomised, double-blind, phase 3 trial. Lancet Oncol. 2014, 15, 700–712. [Google Scholar] [CrossRef] [Green Version]
  6. Wattenberg, M.; Fong, L.; Madan, R.A.; Gulley, J.L. Immunotherapy in Genitourinary Malignancies. Curr. Opin. Urol. 2016, 26, 501–507. [Google Scholar] [CrossRef] [Green Version]
  7. Karzai, F.; Madan, R.A.; Owens, H.; Hankin, A.; Couvillon, A.; Houston, N.D.; Fakhrejahani, F.; Bilusic, M.; Theoret, M.R.; Cordes, L.M.; et al. A phase II study of the anti-programmed death ligand-1 antibody durvalumab (D.; MEDI4736) in combination with PARP inhibitor, olaparib (O), in metastatic castration-resistant prostate cancer (mCRPC). J. Clin. Oncol. 2017, 35, 162. [Google Scholar] [CrossRef]
  8. Burotto, M.; Singh, N.; Heery, C.R.; Gulley, J.L.; Madan, R.A. Exploiting synergy: Immune-based combinations in the treatment of prostate cancer. Front. Oncol. 2014, 4, 351. [Google Scholar] [CrossRef] [Green Version]
  9. Madan, R.A.; Gulley, J.L.; Kantoff, P.W. Demystifying Immunotherapy in Prostate Cancer: Understanding Current and Future Treatment Strategies. Cancer J. 2013, 19, 50–58. [Google Scholar] [CrossRef] [Green Version]
  10. Graff, J.N.; Alumkal, J.J.; Drake, C.G.; Thomas, G.; Redmond, W.; Farhad, M.; Cetnar, J.P.; Ey, F.S.; Bergan, R.C.; Slottke, R.; et al. Early evidence of anti-PD-1 activity in enzalutamide-resistant prostate cancer. Oncotarget 2016, 7, 52810–52817. [Google Scholar] [CrossRef] [Green Version]
  11. Agarwal, N.; Azad, A.; Carles, J.; Chowdhury, S.; McGregor, B.A.; Merseburger, A.S.; Oudard, S.; Saad, F.; Soares, A.; Panneerselvam, A.; et al. A phase III, randomized, open-label, study (CONTACT-02) of cabozantinib plus atezolizumab versus second novel hormone therapy (NHT) in patients (pts) with metastatic, castration-resistant prostate cancer (mCRPC). J. Clin. Oncol. 2021, 39. [Google Scholar] [CrossRef]
  12. Agarwal, N.; Loriot, Y.; McGregor, B.A.; Dreicer, R.; Dorff, T.B.; Maughan, B.L.; Kelly, W.K.; Pagliaro, L.C.; Srinivas, S.; Squillante, C.M.; et al. Cabozantinib (C) in combination with atezolizumab (A) in patients (pts) with metastatic castration-resistant prostate cancer (mCRPC): Results of Cohort 6 of the COSMIC-021 Study. J. Clin. Oncol. 2020, 38, 139. [Google Scholar] [CrossRef]
  13. Greenwald, R.; Latchman, Y.; Sharpe, A.H. Negative co-receptors on lymphocytes. Curr. Opin. Immunol. 2016, 39, 98–106. [Google Scholar] [CrossRef]
  14. Kalina, J.L.; Neilson, D.S.; Comber, A.P.; Rauw, J.M.; Alexander, A.S.; Vergidis, J.; Lum, J.J. Immune modulation by androgen deprivation and radiation therapy: Implications for prostate cancer immunotherapy. Cancers 2017, 9, 13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Gajewski, T.F.; Schreiber, H.; Fu, Y.-X. Innate and adaptive immune cells in the tumor microenvironment. Nat. Immunol. 2013, 14, 1014–1022. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Bennett, J.A.; Rao, V.S.; Mitchell, M.S. Systemic bacillus Calmette-Guerin (BCG) activates natural suppressor cells. Proc. Natl. Acad. Sci. USA 1978, 75, 5142–5144. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Duwe, A.K.; Singhal, S.K. The immunoregulatory role of bone marrow. Cell. Immunol. 1979, 43, 372–381. [Google Scholar] [CrossRef]
  18. Oseroff, A.; Okada, S.; Strober, S. Natural suppressor (NS) cells found in the spleen of neonatal mice and adult mice given total lymphoid irradiation (TLI) express the null surface phenotype. J. Immunol. 1984, 132, 101–110. [Google Scholar]
  19. Talmadge, J.E.; Gabrilovich, D.I. History of myeloid derived suppressor cells (MDSCs) in the macro- and micro-environment of tumour-bearing hosts. Nat. Rev. Cancer 2013, 13, 739–752. [Google Scholar] [CrossRef] [PubMed]
  20. Gabrilovich, D.I.; Bronte, V.; Chen, S.-H.; Colombo, M.P.; Ochoa, A.; Ostrand-Rosenberg, S.; Schreiber, H. The terminology issue for myeloid-derived suppressor cells. Cancer Res. 2007, 67, 425–426. [Google Scholar] [CrossRef] [Green Version]
  21. Bronte, V.; Brandau, S.; Chen, S.-H.; Colombo, M.P.; Frey, A.B.; Greten, T.F.; Mandruzzato, S.; Murray, P.J.; Ochoa, A.; Ostrand-Rosenberg, S.; et al. Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat. Commun. 2016, 7, 12150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Koinis, F.; Vetsika, E.K.; Aggouraki, D.; Skalidaki, E.; Koutoulaki, A.; Gkioulmpasani, M.; Georgoulias, V.; Kotsakis, A. Effect of first-line treatment on myeloid-derived suppressor cells’ subpopulations in the peripheral blood of patients with non-small cell lung cancer. J. Thorac. Oncol. 2016, 11, 1263–1272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Markowitz, J.; Wang, J.; VanGundy, Z.; You, J.; Yildiz, V.; Yu, L.; Foote, I.P.; Branson, O.E.; Stiff, A.R.; Brooks, T.R.; et al. Nitric oxide mediated inhibition of antigen presentation from DCs to CD4+ T cells in cancer and measurement of STAT1 nitration. Sci. Rep. 2017, 7, 15424. [Google Scholar] [CrossRef] [Green Version]
  24. Bruno, A.; Mortara, L.; Baci, D.; Noonan, D.M.; Albini, A. Myeloid Derived Suppressor Cells Interactions with Natural Killer Cells and Pro-angiogenic Activities: Roles in Tumor Progression. Front. Immunol. 2019, 10, 771. [Google Scholar] [CrossRef] [PubMed]
  25. Siret, C.; Collignon, A.; Silvy, F.; Robert, S.; Cheyrol, T.; André, P.; Rigot, V.; Iovanna, J.; van de Pavert, S.; Lombardo, D.; et al. Deciphering the Crosstalk between Myeloid-Derived Suppressor Cells and Regulatory T Cells in Pancreatic Ductal Adenocarcinoma. Front. Immunol. 2020, 10, 3070. [Google Scholar] [CrossRef] [PubMed]
  26. Corzo, C.A.; Condamine, T.; Lu, L.; Cotter, M.J.; Youn, J.-I.; Cheng, P.; Cho, H.-I.; Celis, E.; Quiceno, D.G.; Padhya, T.; et al. HIF-1α regulates function and differentiation of myeloid-derived suppressor cells in the tumor microenvironment. J. Exp. Med. 2010, 207, 2439–2453. [Google Scholar] [CrossRef] [PubMed]
  27. Zhuang, J.; Zhang, J.; Lwin, S.T.; Edwards, J.R.; Edwards, C.; Mundy, G.R.; Yang, X. Osteoclasts in Multiple Myeloma Are Derived from Gr-1+CD11b+Myeloid-Derived Suppressor Cells. PLoS ONE 2012, 7, e48871. [Google Scholar] [CrossRef] [Green Version]
  28. Diaz-Montero, C.M.; Salem, M.L.; Nishimura, M.I.; Garrett-Mayer, E.; Cole, D.J.; Montero, A. Increased circulating myeloid-derived suppressor cells correlate with clinical cancer stage, metastatic tumor burden, and doxorubicin–cyclophosphamide chemotherapy. Cancer Immunol. Immunother. 2009, 58, 49–59. [Google Scholar] [CrossRef] [Green Version]
  29. Greten, T.F.; Manns, M.P.; Korangy, F. Myeloid derived suppressor cells in human diseases. Int. Immunopharmacol. 2011, 11, 802–807. [Google Scholar] [CrossRef] [Green Version]
  30. Wang, G.; Lu, X.; Dey, P.; Deng, P.; Wu, C.C.; Jiang, S.; Fang, Z.; Zhao, K.; Konaparthi, R.; Hua, S.; et al. Targeting YAP-dependent MDSC infiltration impairs tumor progression. Cancer Discov. 2016, 6, 80–95. [Google Scholar] [CrossRef] [Green Version]
  31. Ding, Z.; Wu, C.-J.; Chu, G.C.; Xiao, Y.; Ho, D.; Zhang, J.; Perry, S.R.; Labrot, E.S.; Wu, X.; Lis, R.; et al. SMAD4-dependent barrier constrains prostate cancer growth and metastatic progression. Nature 2011, 470, 269–276. [Google Scholar] [CrossRef] [Green Version]
  32. Youn, J.-I.; Collazo, M.; Shalova, I.N.; Biswas, S.K.; Gabrilovich, D.I. Characterization of the nature of granulocytic myeloid-derived suppressor cells in tumor-bearing mice. J. Leukoc. Biol. 2012, 91, 167–181. [Google Scholar] [CrossRef] [Green Version]
  33. Gabrilovich, D.I.; Nagaraj, S. Myeloid-derived suppressor cells as regulators of the immune system. Nat. Rev. Immunol. 2009, 9, 162–174. [Google Scholar] [CrossRef] [PubMed]
  34. Vuk-Pavlović, S.; Bulur, P.A.; Lin, Y.; Qin, R.; Szumlanski, C.L.; Zhao, X.; Dietz, A. Immunosuppressive CD14+HLA-DRlow/− Monocytes in Prostate Cancer. Prostate 2010, 70, 443–455. [Google Scholar] [CrossRef] [Green Version]
  35. Chi, N.; Tan, Z.; Ma, K.; Bao, L.; Yun, Z. Increased circulating myeloid-derived suppressor cells correlate with cancer stages, interleukin-8 and -6 in prostate cancer. Int. J. Clin. Exp. Med. 2014, 7, 3181–3192. [Google Scholar] [PubMed]
  36. Idorn, M.; Køllgaard, T.; Kongsted, P.; Sengeløv, L.; Straten, P.T. Correlation between frequencies of blood monocytic myeloid-derived suppressor cells, regulatory T cells and negative prognostic markers in patients with castration-resistant metastatic prostate cancer. Cancer Immunol. Immunother. 2014, 63, 1177–1187. [Google Scholar] [CrossRef]
  37. Mehra, N.; Seed, G.; Lambros, M.; Sharp, A.; Fontes, M.S.; Crespo, M.; Sumanasuriya, S.; Yuan, W.; Boysen, G.; Riisnaes, R.; et al. Myeloid-derived suppressor cells (MDSCs) in metastatic castration-resistant prostate cancer (CRPC) patients (PTS). Ann. Oncol. 2016, 27, vi257. [Google Scholar] [CrossRef]
  38. Wen, J.; Huang, G.; Liu, S.; Wan, J.; Wang, X.; Zhu, Y.; Kaliney, W.; Zhang, C.; Cheng, L.; Wen, X.; et al. Polymorphonuclear MDSCs are enriched in the stroma and expanded in metastases of prostate cancer. J. Pathol. Clin. Res. 2020, 6, 171–177. [Google Scholar] [CrossRef]
  39. Wang, S.; Gao, J.; Lei, Q.-Y.; Rozengurt, N.; Pritchard, C.; Jiao, J.; Thomas, G.V.; Li, G.; Roy-Burman, P.; Nelson, P.S.; et al. Prostate-specific deletion of the murine Pten tumor suppressor gene leads to metastatic prostate cancer. Cancer Cell. 2003, 4, 209–221. [Google Scholar] [CrossRef] [Green Version]
  40. Garcia, A.J.; Ruscetti, M.; Arenzana, T.L.; Tran, L.M.; Bianci-Frias, D.; Sybert, E.; Priceman, S.J.; Wu, L.; Nelson, P.S.; Smale, S.T.; et al. Pten Null Prostate Epithelium Promotes Localized Myeloid-Derived Suppressor Cell Expansion and Immune Suppression during Tumor Initiation and Progression. Mol. Cell. Biol. 2014, 34, 2017–2028. [Google Scholar] [CrossRef] [Green Version]
  41. Calcinotto, A.; Spataro, C.; Zagato, E.; Di Mitri, D.; Gil, V.; Crespo, M.; De Bernardis, G.; Losa, M.; Mirenda, M.; Pasquini, E.; et al. IL23 secreted by myeloid cells drives castration resistant prostate cancer. Nature 2018, 559, 363–369. [Google Scholar] [CrossRef] [PubMed]
  42. Hossain, D.M.S.; Pal, S.K.; Moreira, D.; Duttagupta, P.; Zhang, Q.; Won, H. TLR9-Targeted STAT3 Silencing Abrogates Immunosuppressive Activity of Myeloid-Derived Suppressor Cells from Prostate Cancer Patients. Clin. Cancer Res. 2015, 21, 3771–3782. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Rébé, C.; Végran, F.; Berger, H.; Ghiringhelli, F. STAT3 activation: A key factor in tumor immunoescape. Jak-Stat 2013, 2, 23010. [Google Scholar] [CrossRef] [Green Version]
  44. de Haas, N.; de Koning, C.; Spilgies, L.; de Vries, I.J.M.; Hato, S.V. Improving cancer immunotherapy by targeting the STATe of MDSCs. Oncoimmunology 2016, 5, e1196312. [Google Scholar] [CrossRef] [Green Version]
  45. Parker, K.H.; Beury, D.W.; Ostrand-Rosenberg, S. Myeloid-Derived Suppressor Cells: Critical Cells Driving Immune Suppression in the Tumor Microenvironment. Adv. Cancer Res. 2015, 128, 95–139. [Google Scholar] [CrossRef] [PubMed]
  46. Canesin, G.; Evans-Axelsson, S.; Hellsten, R.; Sterner, O.; Krzyzanowska, A.; Andersson, T.; Bjartell, A. The STAT3 Inhibitor Galiellalactone Effectively Reduces Tumor Growth and Metastatic Spread in an Orthotopic Xenograft Mouse Model of Prostate Cancer. Eur. Urol. 2016, 69, 400–404. [Google Scholar] [CrossRef] [PubMed]
  47. Hellsten, R.; Lilljebjörn, L.; Johansson, M.; Leandersson, K.; Bjartell, A. The STAT3 inhibitor galiellalactone inhibits the generation of MDSC-like monocytes by prostate cancer cells and decreases immunosuppressive and tumorigenic factors. Prostate 2019, 79, 1611–1621. [Google Scholar] [CrossRef] [Green Version]
  48. Sugimoto, H.; Oda, S.I.; Otsuki, T.; Hino, T.; Yoshida, T.; Shiro, Y. Crystal structure of human indoleamine 2,3-dioxygenase: Catalytic mechanism of O2 incorporation by a heme-containing dioxygenase. Proc. Natl. Acad. Sci. USA 2006, 103, 2611–2616. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Ball, H.J.; Sanchez-Perez, A.; Weiser, S.; Austin, C.J.D.; Astelbauer, F.; Miu, J.; McQuillan, J.A.; Stocker, R.; Jermiin, L.S.; Hunt, N.H. Characterization of an indoleamine 2, 3-dioxygenase-like protein found in humans and mice. Gene 2007, 396, 203–213. [Google Scholar] [CrossRef] [PubMed]
  50. Mbongue, J.C.; Nicholas, D.A.; Torrez, T.W.; Kim, N.-S.; Firek, A.F.; Langridge, W.H.R. The Role of Indoleamine 2, 3-Dioxygenase in Immune Suppression and Autoimmunity. Vaccines 2015, 3, 703–729. [Google Scholar] [CrossRef] [Green Version]
  51. Holmgaard, R.B.; Zamarin, D.; Li, Y.; Gasmi, B.; Munn, D.H.; Allison, J.P.; Merghoub, T.; Wolchok, J.D. Tumor-expressed IDO recruits and activates MDSCs in a Treg-dependent manner. Cell Rep. 2016, 13, 412–424. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Won, H.; Moreira, D.; Gao, C.; Duttagupta, P.; Zhao, X.; Manuel, E.; Diamond, D.; Yuan, Y.; Liu, Z.; Jones, J.; et al. TLR9 expression and secretion of LIF by prostate cancer cells stimulates accumulation and activity of polymorphonuclear MDSCs. J. Leukoc. Biol. 2017, 102, 423–436. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Moreira, D.; Zhang, Q.; Hossain, D.M.S.; Nechaev, S.; Li, H.; Kowolik, C.M.; D’Apuzzo, M.; Forman, S.; Jones, J.; Pal, S.K.; et al. TLR9 signaling through NF-kB/RELA and STAT3 promotes tumor-propagating potential of prostate cancer cells. Oncotarget 2015, 6, 17302–17313. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Gabrilovich, D.I.; Ostrand-rosenberg, S.; Bronte, V. Coordinated regulation of myeloid cells by tumours. Nat. Rev. Immunol. 2012, 12, 253–268. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Rodriguez, P.C.; Zea, A.H.; Culotta, K.S.; Zabaleta, J.; Augusto, C.O.; Ochoa, J.B. Regulation of T cell receptor CD3ζ chain expression by L-arginine. J. Biol. Chem. 2002, 277, 21123–21129. [Google Scholar] [CrossRef] [Green Version]
  56. Zea, A.H.; Rodriguez, P.C.; Culotta, K.S.; Hernandez, C.P.; DeSalvo, J.; Ochoa, J.B.; Park, H.-J.; Zabaleta, J.; Ochoa, A.C. L-Arginine modulates CD3ζ expression and T cell function in activated human T lymphocytes. Cell. Immunol. 2004, 232, 21–31. [Google Scholar] [CrossRef]
  57. Bronte, V.; Zanovello, P. Regulation of immune responses by L-arginine metabolism. Nat. Rev. Immunol. 2005, 5, 641–654. [Google Scholar] [CrossRef]
  58. Bozkus, C.C.; Elzey, B.D.; Crist, S.A.; Ellies, L.G.; Ratliff, T.L. Expression of Cationic Amino Acid Transporter 2 (CAT2) Is Required for Myeloid Derived Suppressor Cell-Mediated Control of T Cell Immunity. J. Immunol. 2015, 195, 5237–5250. [Google Scholar] [CrossRef]
  59. Hossain, F.; Al-Khami, A.A.; Wyczechowska, D.; Hernandez, C.; Zheng, L.; Reiss, K.; Del Valle, L.; Trillo-Tinoco, J.; Maj, T.; Zou, W.; et al. Inhibition of Fatty Acid Oxidation Modulates Immunosuppressive Functions of Myeloid-Derived Suppressor Cells and Enhances Cancer Therapies. Cancer Immunol. Res. 2015, 3, 1236–1247. [Google Scholar] [CrossRef] [Green Version]
  60. Massie, C.; Lynch, A.; Ramos-Montoya, A.; Boren, J.; Stark, R.; Fazli, L.; Warren, A.; Scott, H.; Madhu, B.; Sharma, N.; et al. The androgen receptor fuels prostate cancer by regulating central metabolism and biosynthesis. EMBO J. 2011, 30, 2719–2733. [Google Scholar] [CrossRef] [Green Version]
  61. Consiglio, C.R.; Udartseva, O.; Ramsey, K.D.; Bush, C.; Gollnick, S.O. Enzalutamide, an androgen receptor antagonist, enhances myeloid cell-mediated immune suppression and tumor progression. Cancer Immunol. Res. 2020, 8, 1215–1227. [Google Scholar] [CrossRef]
  62. De Sanctis, F.; Sandri, S.; Ferrarini, G.; Pagliarello, I.; Sartoris, S.; Ugel, S.; Marigo, I.; Molon, B.; Bronte, V. The emerging immunological role of post-translational modifications by reactive nitrogen species in cancer microenvironment. Front. Immunol. 2014, 5, 69. [Google Scholar] [CrossRef] [Green Version]
  63. Molon, B.; Ugel, S.; Del Pozzo, F.; Soldani, C.; Zilio, S.; Avella, D.; De Palma, A.; Mauri, P.; Monegal, A.; Rescigno, M.; et al. Chemokine nitration prevents intratumoral infiltration of antigen-specific T cells. J. Exp. Med. 2011, 208, 1949–1962. [Google Scholar] [CrossRef]
  64. Radi, R. Oxygen radicals, nitric oxide, and peroxynitrite: Redox pathways in molecular medicine. Proc. Natl. Acad. Sci. USA 2018, 115, 5839–5848. [Google Scholar] [CrossRef] [Green Version]
  65. Szabó, C.; Ischiropoulos, H.; Radi, R. Peroxynitrite: Biochemistry, pathophysiology and development of therapeutics. Nat. Rev. Drug Discov. 2007, 6, 662–680. [Google Scholar] [CrossRef]
  66. Feng, S.; Cheng, X.; Zhang, L.; Lu, X.; Chaudhary, S.; Teng, R.; Frederickson, C.; Champion, M.; Zhao, R.; Cheng, L.; et al. Myeloid-derived suppressor cells inhibit T cell activation through nitrating LCK in mouse cancers. Proc. Natl. Acad. Sci. USA 2018, 115, 10094–10099. [Google Scholar] [CrossRef] [Green Version]
  67. Ho, A.-S.; Chen, C.-H.; Cheng, C.-C.; Wang, C.-C.; Lin, H.-C.; Luo, T.-Y.; Lien, G.-S.; Chang, J. Neutrophil elastase as a diagnostic marker and therapeutic target in colorectal cancers. Oncotarget 2014, 5, 473–480. [Google Scholar] [CrossRef] [Green Version]
  68. Houghton, A.M.; Rzymkiewicz, D.M.; Ji, H.; Gregory, A.D.; E Egea, E.; E Metz, H.; Stolz, D.B.; Land, S.R.; A Marconcini, L.; Kliment, C.R.; et al. Neutrophil Elastase-Mediated Degradation of IRS-1 Accelerates Lung Tumor Growth. Nat. Med. 2010, 16, 219–223. [Google Scholar] [CrossRef] [Green Version]
  69. Gong, L.; Cumpian, A.M.; Caetano, M.D.S.; Ochoa, C.E.; De la Garza, M.M.; Lapid, D.J.; Mirabolfathinejad, S.G.; Dickey, B.F.; Zhou, Q.; Moghaddam, S.J. Promoting effect of neutrophils on lung tumorigenesis is mediated by CXCR2 and neutrophil elastase. Mol. Cancer. 2013, 12, 154. [Google Scholar] [CrossRef] [Green Version]
  70. Maffia, P.C.; Zittermann, S.E.; Scimone, M.L.; Tateosian, N.; Amiano, N.; Guerrieri, D.; Lutzky, V.; Rosso, D.; Romeo, H.E.; Garcia, V.E.; et al. Neutrophil elastase converts human immature dendritic cells into transforming growth factor-β1-secreting cells and reduces allostimulatory ability. Am. J. Pathol. 2007, 171, 928–937. [Google Scholar] [CrossRef] [Green Version]
  71. Tateosian, N.; Reiteri, R.; Amiano, N.; Costa, M.; Villalonga, X.; Guerrieri, D.; Maffía, P. Neutrophil elastase treated dendritic cells promote the generation of CD4+FOXP3+ regulatory T cells in vitro. Cell. Immunol. 2011, 269, 128–134. [Google Scholar] [CrossRef]
  72. Lerman, I.; de la Luz Garcia-Hernandez, M.; Rangel-Moreno, J.; Chiriboga, L.; Pan, C.; Nastiuk, K.L.; Krolewski, J.J.; Sen, A.; Hammes, S.R. Infiltrating Myeloid Cells Exert Pro-Tumorigenic Actions via Neutrophil Elastase. Mol. Cancer 2017, 15, 1138–1152. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Sun, X.; Cheng, G.; Hao, M.; Zheng, J.; Zhou, X. CXCL12/CXCR4/CXCR7 Chemokine Axis and Cancer Progression. Cancer Metastasis Rev. 2010, 29, 709–722. [Google Scholar] [CrossRef] [Green Version]
  74. Chetram, M.A.; Don-Salu-Hewage, A.S.; Hinton, C.V. ROS Enhances CXCR4-mediated Functions through Inactivation of PTEN in Prostate Cancer Cells. Biochem. Biophys. Res. Commun. 2011, 410, 195–200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Fortunato, O.; Belisario, D.C.; Compagno, M.; Giovinazzo, F.; Bracci, C.; Pastorino, U.; Horenstein, A.; Malavasi, F.; Ferracini, R.; Scala, S.; et al. CXCR4 Inhibition Counteracts Immunosuppressive Properties of Metastatic NSCLC Stem Cells. Front. Immunol. 2020, 11, 02168. [Google Scholar] [CrossRef]
  76. Jung, K.; Heishi, T.; Incio, J.; Huang, Y.; Beech, E.Y.; Pinter, M.; Ho, W.W.; Kawaguchi, K.; Rahbari, N.N.; Chung, E.; et al. Targeting CXCR4-dependent immunosuppressive Ly6Clow monocytes improves antiangiogenic therapy in colorectal cancer. Proc. Natl. Acad. Sci. USA 2017, 114, 10455–10460. [Google Scholar] [CrossRef] [Green Version]
  77. Biasci, D.; Smoragiewicz, M.; Connell, C.M.; Wang, Z.; Gao, Y.; Thaventhiran, J.E.D.; Basu, B.; Magiera, L.; Johnson, T.I.; Bax, L.; et al. CXCR4 inhibition in human pancreatic and colorectal cancers induces an integrated immune response. Proc. Natl. Acad. Sci. USA 2020, 117, 28960–28970. [Google Scholar] [CrossRef] [PubMed]
  78. Chen, Q.; Zhong, T. The association of CXCR4 expression with clinicopathological significance and potential drug target in prostate cancer: A meta-analysis and literature review. Drug Des. Dev. Ther. 2015, 9, 5115–5122. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Sun, Y.-X.; Schneider, A.; Jung, Y.; Wang, J.; Dai, J.; Wang, J.; Cook, K.; Osman, N.I.; Koh-Paige, A.J.; Shim, H.; et al. Skeletal localization and neutralization of the SDF-1(CXCL12)/CXCR4 axis blocks prostate cancer metastasis and growth in osseous sites in vivo. J. Bone Miner. Res. 2005, 20, 318–329. [Google Scholar] [CrossRef] [PubMed]
  80. Rodriguez, P.C.; Hernandez, C.P.; Quiceno, D.; Dubinett, S.M.; Zabaleta, J.; Ochoa, J.B.; Gilbert, J.; Ochoa, A.C. Arginase I in myeloid suppressor cells is induced by COX-2 in lung carcinoma. J. Exp. Med. 2005, 7, 931–939. [Google Scholar] [CrossRef] [Green Version]
  81. Tomić, S.; Joksimović, B.; Bekić, M.; Vasiljević, M.; Milanović, M.; Čolić, M.; Vučević, D. Prostaglanin-E2 potentiates the suppressive functions of human mononuclear myeloid-derived suppressor cells and increases their capacity to expand IL-10-producing regulatory T cell subsets. Front. Immunol. 2019, 10, 475. [Google Scholar] [CrossRef] [Green Version]
  82. Khor, L.-Y.; Bae, K.; Pollack, A.; Hammond, M.E.H.; Grignon, D.J.; Venkatesan, V.M.; Rosenthal, S.A.; Ritter, M.A.; Sandler, H.M.; Hanks, G.E.; et al. COX-2 expression predicts prostate-cancer outcome: Analysis of data from the RTOG 92-02 trial. Lancet Oncol. 2007, 10, 912–920. [Google Scholar] [CrossRef] [Green Version]
  83. Finetti, F.; Travelli, C.; Ercoli, J.; Colombo, G.; Buoso, E.; Trabalzini, L. Prostaglandin E2 and Cancer: Insight into Tumor Progression and Immunity. Biology 2020, 9, 434. [Google Scholar] [CrossRef] [PubMed]
  84. Obermajer, N.; Muthuswamy, R.; Lesnock, J.; Edwards, R.P.; Kalinski, P. Positive feedback between PGE2 and COX2 redirects the differentiation of human dendritic cells toward stable myeloid-derived suppressor cells. Blood 2011, 20, 5498–5505. [Google Scholar] [CrossRef]
  85. Yan, D.; Adeshakin, A.O.; Xu, M.; Afolabi, L.O.; Zhang, G.; Chen, Y.H.; Wan, X. Lipid metabolic pathways confer the immunosuppressive function of myeloid-derived suppressor cells in tumor. Front. Immunol. 2019, 10, 1399. [Google Scholar] [CrossRef] [PubMed]
  86. Yan, D.; Yang, Q.; Shi, M.; Zhong, L.; Wu, C.; Meng, T.; Yin, H.; Zhou, J. Polyunsaturated fatty acids promote the expansion of myeloid-derived suppressor cells by activating the JAK/STAT3 pathway. Eur. J. Immunol. 2013, 11, 2943–2955. [Google Scholar] [CrossRef] [PubMed]
  87. Mohammadpour, H.; Macdonald, C.R.; Qiao, G.; Chen, M.; Dong, B.; Hylander, B.L.; McCarthy, P.L.; Abrams, S.I.; Repasky, E.A. Β2 Adrenergic Receptor-Mediated Signaling Regulates the Immunosuppressive Potential of Myeloid-Derived Suppressor Cells. J. Clin. Investig. 2019, 12, 5537–5552. [Google Scholar] [CrossRef]
  88. Mohammadpour, H.; Macdonald, C.R.; Qiao, G.; Chen, M.; Dong, B.; Hylander, B.L.; McCarthy, P.L.; Abrams, S.I.; Repasky, E.A. B2-Adrenergic Receptor signaling regulates metabolic pathways critical to myeloid-derived suppressor cell function within the TME. Cell Rep. 2021, 37, 109883. [Google Scholar] [CrossRef] [PubMed]
  89. Braadland, P.R.; Ramberg, H.; Grytli, H.H.; Tasken, K.A. b2-Adrenergic Receptor Signaling in Prostate Cancer. Front. Oncol. 2014, 4, 375. [Google Scholar] [PubMed] [Green Version]
  90. Brusa, D.; Simone, M.; Gontero, P.; Spadi, R.; Racca, P.; Micari, J.; Degiuli, M.; Carletto, S.; Tizzani, A.; Matera, L. Circulating immunosuppressive cells of prostate cancer patients before and after radical prostatectomy: Profile comparison. Int. J. Urol. 2013, 20, 971–978. [Google Scholar] [CrossRef]
  91. Wang, J.; McGuire, T.R.; Britton, H.C.; Schwarz, J.K.; Loberiza, F.R.; Meza, J.L.; Talmadge, J.E. Lenalidomide and cyclophosphamide immunoregulation in patients with metastatic, castration-resistant prostate cancer. Clin. Exp. Metastasis 2015, 32, 111–124. [Google Scholar] [CrossRef]
  92. Santegoets, S.J.; Stam, A.G.; Lougheed, S.M.; Gall, H.; Jooss, K.; Sacks, N.; Hege, K.; Lowy, I.; Scheper, R.J.; Gerritsen, W.R.; et al. Myeloid derived suppressor and dendritic cell subsets are related to clinical outcome in prostate cancer patients treated with prostate gvax and ipilimumab. J. Immunother. Cancer 2014, 2, 31. [Google Scholar] [CrossRef] [Green Version]
  93. Koga, N.; Moriya, F.; Waki, K.; Yamada, A.; Itoh, K.; Noguchi, M. Immunological efficacy of herbal medicines in prostate cancer patients treated by personalized peptide vaccine. Cancer Sci. 2017, 108, 2326–2332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Noguchi, M.; Moriya, F.; Koga, N.; Matsueda, S.; Sasada, T.; Yamada, A.; Kakuma, T.; Itoh, K. A randomized phase II clinical trial of personalized peptide vaccination with metronomic low-dose cyclophosphamide in patients with metastatic castration-resistant prostate cancer. Cancer Immunol. Immunother. 2016, 65, 151–160. [Google Scholar] [CrossRef] [PubMed]
  95. Siemińska, I.; Rychlicka-Buniowska, E.; Jaszczyński, J.; Palaczyński, M.; Bukowska-Strakova, K.; Ryś, J.; Dumański, J.; Siedlar, M.; Baran, J. The Level of Myeloid Derived—Suppresor Cells in Peripheral Blood of Patients with Prostate Cancer. Pol. J. Pathol. 2020, 71, 46–54. [Google Scholar] [CrossRef] [PubMed]
  96. Kotsakis, A.; Harasymczuk, M.; Schilling, B.; Georgoulias, V.; Argiris, A.; Whiteside, T.L. Myeloid-derived suppressor cell measurements in fresh and cryopreserved blood samples. J. Immunol. Methods 2012, 381, 14–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Logothetis, C.J.; Gallick, G.E.; Maity, S.N.; Kim, J.; Aparicio, A.; Efstathiou, E.; Lin, S.-H. Molecular Classification of Prostate Cancer Progression: Foundation for Marker driven-Treatment of Prostate Cancer. Cancer Discov. 2014, 3, 849–861. [Google Scholar] [CrossRef] [Green Version]
  98. Watson, P.A.; Ellwood-Yen, K.; King, J.C.; Wongvipat, J.; LeBeau, M.M.; Sawyers, C.L. Context-dependent hormone-refractory progression revealed through characterization of a novel murine prostate cancer cell line. Cancer Res. 2005, 65, 11565–11571. [Google Scholar] [CrossRef] [Green Version]
  99. Qin, H.; Lerman, B.; Sakamaki, I.; Wei, G.; Cha, S.C.; Rao, S.S.; Qian, J.; Hailemichael, Y.; Nurieva, R.; Dwyer, K.C.; et al. Generation of a novel therapeutic peptide that depletes MDSC in tumor-bearing mice. Nat. Med. 2014, 20, 676–681. [Google Scholar] [CrossRef]
  100. Draghiciu, O.; Nijman, H.W.; Hoogeboom, B.N.; Meijerhof, T.; Daemen, T. Sunitinib depletes myeloid-derived suppressor cells and synergizes with a cancer vaccine to enhance antigen-specific immune responses and tumor eradication. Oncoimmunology 2015, 4, e989764. [Google Scholar] [CrossRef] [Green Version]
  101. Heine, A.; Schilling, J.; Grünwald, B.; Krüger, A.; Gevensleben, H.; Held, S.A.E.; Garbi, N.; Kurts, C.; Brossart, P.; Knolle, P.A.; et al. The induction of human myeloid derived suppressor cells through hepatic stellate cells is dose-dependently inhibited by the tyrosine kinase inhibitors nilotinib, dasatinib and sorafenib, but not sunitinib. Cancer Immunol. Immunother. 2016, 65, 273–282. [Google Scholar] [CrossRef] [PubMed]
  102. Liu, G.; Jin, Z.; Lu, X. Differential targeting of GR-MDSCS, T cells and prostate cancer cells by dactolisib and dasatinib. Int. J. Mol. Sci. 2020, 21, 2337. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Lu, X.; Horner, J.W.; Paul, E.; Shang, X.; Troncoso, P.; Deng, P.; Jiang, S.; Chang, Q.; Spring, D.J.; Sharma, P.; et al. Effective Combinatorial Immunotherapy for Castration Resistant Prostate Cancer. Nature 2017, 543, 728–732. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Chouaib, S.; Umansky, V.; Kieda, C. The role of hypoxia in shaping the recruitment of proangiogenic and immunosuppressive cells in the tumor microenvironment. Contemp. Oncol. 2017, 2, 7–13. [Google Scholar] [CrossRef] [PubMed]
  105. Fultang, L.; Panetti, S.; Ng, M.; Collins, P.; Graef, S.; Rizkalla, N.; Booth, S.; Lenton, R.; Noyvert, B.; Shannon-Lowe, C.; et al. MDSC targeting with Gemtuzumab ozogamicin restores T cell immunity and immunotherapy against cancers. EBioMedicine 2019, 47, 235–246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Sevko, A.; Kremer, V.; Falk, C.; Umansky, L.; Shurin, M.R.; Shurin, G.V.; Umansky, V. Application of paclitaxel in low non-cytotoxic doses supports vaccination with melanoma antigens in normal mice. J. Immunotoxicol. 2012, 9, 275–281. [Google Scholar] [CrossRef] [Green Version]
  107. Sevko, A.; Sade-Feldman, M.; Kanterman, J.; Michels, T.; Falk, C.S.; Umansky, L.; Ramacher, M.; Kato, M.; Schadendorf, D.; Baniyash, M.; et al. Cyclophosphamide promotes chronic inflammation-dependent immunosuppression and prevents antitumor response in melanoma. J. Investig. Dermatol. 2013, 133, 1610–1619. [Google Scholar] [CrossRef] [Green Version]
  108. Vincent, J.; Mignot, G.; Chalmin, F.; Ladoire, S.; Bruchard, M.; Chevriaux, A.; Martin, F.; Apetoh, L.; Rébé, C.; Ghiringhelli, F. 5-Fluorouracil selectively kills tumor-associated myeloid-derived suppressor cells resulting in enhanced T cell-dependent antitumor immunity. Cancer Res. 2010, 70, 3052–3061. [Google Scholar] [CrossRef] [Green Version]
  109. Kanterman, J.; Sade-Feldman, M.; Biton, M.; Ish-Shalom, E.; Lasry, A.; Goldshtein, A.; Hubert, A.; Baniyash, M. Adverse immunoregulatory effects of 5FU and CPT11 chemotherapy on myeloid-derived suppressor cells and colorectal cancer outcomes. Cancer Res. 2014, 74, 6022–6035. [Google Scholar] [CrossRef] [Green Version]
  110. Luke, J.J.; Lorusso, P.; Shapiro, G.I.; Krivoshik, A.; Schuster, R.; Yamazaki, T.; Arai, Y.; Fakhoury, A.; Dmuchowski, C.; Infante, J.R. ASP9853, an inhibitor of inducible nitric oxide synthase dimerization, in combination with docetaxel: Preclinical investigation and a Phase I study in advanced solid tumors. Cancer Chemother. Pharmacol. 2016, 77, 549–558. [Google Scholar] [CrossRef] [Green Version]
  111. Redman, J.M.; Steinberg, S.M.; Gulley, J.L. Quick efficacy seeking trial (QuEST1): A novel combination immunotherapy study designed for rapid clinical signal assessment metastatic castration-resistant prostate cancer 11 Medical and Health Sciences 1107 Immunology. J. Immunother. Cancer 2018, 6, 1–8. [Google Scholar] [CrossRef] [Green Version]
  112. Lin, J.; Elkon, J.M.; Ricart, B.; Burgess, B.; Palmer, E.; Siegel, R.S.; Ma, Y.; Villagra, A. Phase I study of entinostat in combination with enzalutamide for treatment of patients with castration-resistant prostate cancer. J. Clin. Oncol. 2021, 39, 96. [Google Scholar] [CrossRef]
  113. Pili, R.; Quinn, D.I.; Albany, C.; Adra, N.; Logan, T.F.; Greenspan, A.; Budka, J.; Damayanti, N.; A Green, M.; Fletcher, J.W.; et al. Immunomodulation by HDAC inhibition: Results from a phase Ib study with vorinostat and pembrolizumab in metastatic urothelial, renal, and prostate carcinoma patients. J. Clin. Oncol. 2019, 37, 2572. [Google Scholar] [CrossRef]
  114. Grzywa, T.M.; Sosnowska, A.; Matryba, P.; Rydzynska, Z.; Jasinski, M.; Nowis, D.; Golab, J. Myeloid Cell-Derived Arginase in Cancer Immune Response. Front. Immunol. 2020, 11, 938. [Google Scholar] [CrossRef] [PubMed]
  115. Ban, Y.; Mai, J.; Li, X.; Mitchell-Flack, M.; Zhang, T.; Zhang, L.; Chouchane, L.; Ferrari, M.; Shen, H.; Ma, X. Targeting autocrine CCL5-CCR5 axis reprograms immunosuppressive myeloid cells and reinvigorates antitumor immunity. Cancer Res. 2017, 77, 2857–2868. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Zhu, Y.; Knolhoff, B.L.; Meyer, M.A.; Nywening, T.M.; West, B.L.; Luo, J.; Wang-Gillam, A.; Goedegebuure, S.P.; Linehan, D.C.; DeNardo, D.G. CSF1/CSF1R Blockade Reprograms Tumor-Infiltrating Macrophages and Improves Response to T Cell Checkpoint Immunotherapy in Pancreatic Cancer Models. Cancer Res. 2014, 74, 5057–5069. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Escamilla, J.; Schokrpur, S.; Liu, C.; Priceman, S.J.; Moughon, D.; Jiang, Z.; Pouliot, F.; Magyar, C.; Sung, J.L.; Xu, J.; et al. CSF1 Receptor Targeting in Prostate Cancer Reverses Macrophage-Mediated Resistance to Androgen Blockade Therapy. Cancer Res. 2015, 75, 950–962. [Google Scholar] [CrossRef] [Green Version]
  118. Lopez-Bujanda, Z.A.; Haffner, M.C.; Chaimowitz, M.G.; Chowdhury, N.; Venturini, N.J.; Patel, R.A.; Obradovic, A.; Hansen, C.S.; Jacków, J.; Maynard, J.P.; et al. Castration-mediated IL-8 Promotes Myeloid Infiltration and Prostate Cancer Progression. Nat. Cancer 2021, 2, 803–818. [Google Scholar] [CrossRef]
  119. Walsh, J.E.; Clark, A.-M.; Day, T.A.; Gillespie, M.B.; Young, M.R.I. Use of α,25-Dihydroxyvitamin D3 treatment to stimulate immuneinfiltration into head and neck squamous cell carcinoma. Hum. Immunol. 2010, 71, 659–665. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  120. Nefedova, Y.; Fishman, M.; Sherman, S.; Wang, X.; Beg, A.A.; Gabrilovich, D.I. Mechanism of all-trans retinoic acid effect on tumor-associated myeloid-derived suppressor cells. Cancer Res. 2007, 67, 11021–11028. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  121. Cubillos-Ruiz, J.R.; Mohamed, E.; Rodriguez, P.C. Unfolding anti-tumor immunity: ER stress responses sculpt tolerogenic myeloid cells in cancer. J. Immunother. Cancer. 2017, 5, 5. [Google Scholar] [CrossRef] [Green Version]
  122. Trillo-Tinoco, J.; Sierra, R.A.; Mohamed, E.; Cao, Y.; Pulido, A.D.M.; Gilvary, D.L.; Anadon, C.M.; Costich, T.L.; Wei, S.; Flores, E.R.; et al. AMPK alpha-1 intrinsically regulates the function and differentiation of tumor myeloid-derived suppressor cells. Cancer Res. 2019, 79, 5034–5047. [Google Scholar] [CrossRef]
  123. Mohamed, E.; Sierra, R.A.; Trillo-Tinoco, J.; Cao, Y.; Innamarato, P.; Payne, K.K.; Pulido, A.D.M.; Mandula, J.; Zhang, S.; Thevenot, P.; et al. The Unfolded Protein Response Mediator PERK Governs Myeloid Cell-Driven Immunosuppression in Tumors through Inhibition of STING Signaling. Immunity 2020, 52, 668–682. [Google Scholar] [CrossRef] [PubMed]
  124. Hashimoto, A.; Gao, C.; Mastio, J.; Kossenkov, A.; Abrams, S.I.; Purandare, A.V.; DeSilva, H.; Wee, S.; Hunt, J.; Jure-Kunkel, M.; et al. Inhibition of casein kinase 2 disrupts differentiation of myeloid cells in cancer and enhances the efficacy of immunotherapy in mice. Cancer Res. 2018, 78, 5644–5655. [Google Scholar] [CrossRef] [Green Version]
  125. Annels, N.E.; Shaw, V.; Gabitass, R.F.; Billingham, L.; Corrie, P.; Eatock, M.; Valle, J.; Smith, D.; Wadsley, J.; Cunningham, D.; et al. The effects of gemcitabine and capecitabine combination chemotherapy and of low-dose adjuvant GM-CSF on the levels of myeloid-derived suppressor cells in patients with advanced pancreatic cancer. Cancer Immunol. Immunother. 2014, 63, 175–183. [Google Scholar] [CrossRef] [PubMed]
  126. Kristeleit, R.; Davidenko, I.; Shirinkin, V.; El-Khouly, F.; Bondarenko, I.; Goodheart, M.J.; Gorbunova, V.; Penning, C.A.; Shi, J.G.; Liu, X.; et al. A randomised, open-label, phase 2 study of the IDO1 inhibitor epacadostat (INCB024360) versus tamoxifen as therapy for biochemically recurrent (CA-125 relapse)–only epithelial ovarian cancer, primary peritoneal carcinoma, or fallopian tube cancer. Gynecol. Oncol. 2017, 146, 484–490. [Google Scholar] [CrossRef]
  127. Tobin, R.P.; Jordan, K.R.; Robinson, W.; Davis, D.; Borges, V.F.; Gonzalez, R.; Lewis, K.D.; McCarter, M.D. Targeting myeloid-derived suppressor cells using all-trans retinoic acid in melanoma patients treated with Ipilimumab.cess. Int. Immunopharmacol. 2018, 63, 282–291. [Google Scholar] [CrossRef] [PubMed]
  128. Bauer, R.; Udonta, F.; Wroblewski, M.; Ben-Batalla, I.; Miranda-Santos, I.; Taverna, F.; Kuhlencord, M.; Gensch, V.; Päsler, S.; Vinckier, S.; et al. Blockade of myeloid-derived suppressor cell expansion with all-trans retinoic acid increases the efficacy of antiangiogenic therapy. Cancer Res. 2018, 78, 3220–3232. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  129. Netherby, C.S.; Abrams, S.I. Mechanisms Overseeing Myeloid-Derived Suppressor Cell Production in Neoplastic Disease. Cancer Immunol. Immunother. 2017, 66, 989–996. [Google Scholar] [CrossRef] [PubMed]
  130. Mandula, J.K.; Rodriguez, P.C. Tumor-related stress regulates functional plasticity of MDSCs. Cell. Immunol. 2021, 363, 104312. [Google Scholar] [CrossRef]
Figure 1. The role of MDSCs in the tumor-associated microenvironment of PCa. MDSCs exert their tumor promoting and immunosuppressive functions through induction of different signaling pathways and release of various factors. MDSCs suppress NK, Mφ, DC, and the cytotoxic activity of T cells, and also induce Tregs and M2 immunosuppressive phenotypes. MDSCs also participate in tumor formation, metastasis, and migration through interaction with CAFs, endothelial cells, and osteoclasts. MDSC, myeloid-derived suppressor cell; DC, dendritic cell; NK, natural killer; MΦ, macrophages; T cell, T lymphocytes; Treg, T regulatory cell; CAF, cancer-associated fibroblast.
Figure 1. The role of MDSCs in the tumor-associated microenvironment of PCa. MDSCs exert their tumor promoting and immunosuppressive functions through induction of different signaling pathways and release of various factors. MDSCs suppress NK, Mφ, DC, and the cytotoxic activity of T cells, and also induce Tregs and M2 immunosuppressive phenotypes. MDSCs also participate in tumor formation, metastasis, and migration through interaction with CAFs, endothelial cells, and osteoclasts. MDSC, myeloid-derived suppressor cell; DC, dendritic cell; NK, natural killer; MΦ, macrophages; T cell, T lymphocytes; Treg, T regulatory cell; CAF, cancer-associated fibroblast.
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Table 1. Summary of current strategies proposed to target MDSC-mediated immunosuppression.
Table 1. Summary of current strategies proposed to target MDSC-mediated immunosuppression.
Method of ActionTargetAgentCancer TypeReference
Depletion of MDSCs S100A9 TasquinimodAdvanced cancer[99]
Tyrosine Kinases InhibitorsSunitinib, nilotinib, dasatinib, sorafenib, cabozantinib plus BEZ235Prostate cancer[100,101,102,103]
VEGFBevacizumabNSCLC[22,104]
CD33Gemtuzumab ozogamicinSolid tumors, lymphoma, sarcoma[105]
Monotherapy chemotherapy5-FU, Paclitaxel, CyclophosphamideCancer[106,107,108]
Combination chemotherapy5-FU/OxaliplatinColorectal cancer[109]
Impairment of MDSC functioniNOSASP9853/taxaneAdvanced cancer[110]
LCK/PD1/CTLA4RNS/ICBProstate cancer[66]
IDO1, IL15, PDL1, TGF-β TRAPEpacadostat/brachyury-targeted antitumor vaccineCRPC[111]
HDAC, HDAC/PD1Entinostat, vorinostat/pembrolizumabProstate cancer[112,113]
ARG/PD1INCB001158Colorectal cancer[114]
STAT3siRNACRPC[42]
Blocking MDSC recruitmentCCL5/CCR5MaravirocTNBC[115]
CSFR1PLX3397Pancreatic cancer, prostate cancer[116,117]
CXCL2SB255002 Prostate cancer[30]
CXCR2BMS-986253Prostate cancer[118]
Promotion of MDSC differentiation Vitamin D3, Vitamin A, ATRAHead and neck carcinoma, colon cancer, breast cancer, melanoma[119,120]
UPRTUDCAcancer[121]
AMPKaMetformin or Aica-RLung cancer, ovarian cancer, thymoma, melanoma[122]
PERKAMG-44, GSK-2606414Cancer[123]
CPT1aEtomoxirLung cancer, colon cancer[59]
Casein kinase 2BMS-595, BMS-699, BMS-211Lung cancer, breast cancer, colon cancer, lymphoma[124]
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Koinis, F.; Xagara, A.; Chantzara, E.; Leontopoulou, V.; Aidarinis, C.; Kotsakis, A. Myeloid-Derived Suppressor Cells in Prostate Cancer: Present Knowledge and Future Perspectives. Cells 2022, 11, 20. https://doi.org/10.3390/cells11010020

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Koinis F, Xagara A, Chantzara E, Leontopoulou V, Aidarinis C, Kotsakis A. Myeloid-Derived Suppressor Cells in Prostate Cancer: Present Knowledge and Future Perspectives. Cells. 2022; 11(1):20. https://doi.org/10.3390/cells11010020

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Koinis, Filippos, Anastasia Xagara, Evangelia Chantzara, Vassiliki Leontopoulou, Chrissovalantis Aidarinis, and Athanasios Kotsakis. 2022. "Myeloid-Derived Suppressor Cells in Prostate Cancer: Present Knowledge and Future Perspectives" Cells 11, no. 1: 20. https://doi.org/10.3390/cells11010020

APA Style

Koinis, F., Xagara, A., Chantzara, E., Leontopoulou, V., Aidarinis, C., & Kotsakis, A. (2022). Myeloid-Derived Suppressor Cells in Prostate Cancer: Present Knowledge and Future Perspectives. Cells, 11(1), 20. https://doi.org/10.3390/cells11010020

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