Next Article in Journal
A Multi-Trait Association Analysis of Brain Disorders and Platelet Traits Identifies Novel Susceptibility Loci for Major Depression, Alzheimer’s and Parkinson’s Disease
Previous Article in Journal
The Bronchoprotective Effects of Dual Pharmacology, Muscarinic Receptor Antagonist and β2 Adrenergic Receptor Agonist Navafenterol in Human Small Airways
Previous Article in Special Issue
Polyubiquitination and SUMOylation Sites Regulate the Stability of ZO-2 Protein and the Sealing of Tight Junctions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Tight Junction Protein Signaling and Cancer Biology

1
Université de Strasbourg, Inserm, Institut de Recherche sur les Maladies Virales et Hépatiques UMR_S1110, 67000 Strasbourg, France
2
Department of Medicine II (Gastroenterology, Hepatology, Endocrinology and Infectious Diseases), Freiburg University Medical Center, Faculty of Medicine, University of Freiburg, 79098 Freiburg, Germany
3
Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, 68198 NE, USA
4
Buffet Cancer Center, University of Nebraska Medical Center, Omaha, 68105 NE, USA
5
VA Nebraska-Western Iowa Health Care System, Omaha, 68105-1850 NE, USA
6
Institut Hospitalo-Universitaire (IHU), Pôle Hépato-Digestif, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
7
Institut Universitaire de France, 75006 Paris, France
*
Author to whom correspondence should be addressed.
Cells 2023, 12(2), 243; https://doi.org/10.3390/cells12020243
Submission received: 6 October 2022 / Revised: 29 December 2022 / Accepted: 2 January 2023 / Published: 6 January 2023
(This article belongs to the Special Issue Cell-Cell Interactions and Cell Adhesion Signaling in Disease States)

Abstract

:
Tight junctions (TJs) are intercellular protein complexes that preserve tissue homeostasis and integrity through the control of paracellular permeability and cell polarity. Recent findings have revealed the functional role of TJ proteins outside TJs and beyond their classical cellular functions as selective gatekeepers. This is illustrated by the dysregulation in TJ protein expression levels in response to external and intracellular stimuli, notably during tumorigenesis. A large body of knowledge has uncovered the well-established functional role of TJ proteins in cancer pathogenesis. Mechanistically, TJ proteins act as bidirectional signaling hubs that connect the extracellular compartment to the intracellular compartment. By modulating key signaling pathways, TJ proteins are crucial players in the regulation of cell proliferation, migration, and differentiation, all of which being essential cancer hallmarks crucial for tumor growth and metastasis. TJ proteins also promote the acquisition of stem cell phenotypes in cancer cells. These findings highlight their contribution to carcinogenesis and therapeutic resistance. Moreover, recent preclinical and clinical studies have used TJ proteins as therapeutic targets or prognostic markers. This review summarizes the functional role of TJ proteins in cancer biology and their impact for novel strategies to prevent and treat cancer.

1. Tight Junction Proteins Exhibit a Large Repertoire of Functional Roles in Cell Biology

Described as intercellular adhesion complexes in epithelia and endothelia, tight junction (TJ) proteins constitute a multi-functional machinery that regulates paracellular permeability and cell polarity [1]. TJ proteins are classified based on multiple genetic and molecular functions with three transmembrane proteins that are common to all tight junctions [2]. These three proteins comprise claudins (CLDNs), the tight junction-associated MARVEL domain proteins, including occludin, tricellulin (also known as the MARVEL domain-containing protein 2 (MARVELD2)) and MARVELD3, in addition to the junction adhesion molecule (JAM) [3]. Other commonly expressed transmembrane TJ proteins include the Crumbs proteins (CRBs), the angulin proteins, the coxsackievirus–adenovirus receptor (CAR), and BVES (blood-vessel epicardial substance, also known as POPDC1 for Popeye domain-containing protein-1) [4]. Furthermore, the region of the cytoplasm that underlies the tight junctions harbors several multi-molecular protein complexes [5]. The latter include proteins associated with Lin Seven 1 (Pals1), multi-PDZ domain protein 1 (MUPP1), Zona occluden-1, -2 and -3 (ZO-1, ZO-2; ZO-3), and the non-PDZ-expressing proteins, including cingulin, symplekin, ZO-1-associated nucleic acid-binding protein (ZONAB), GEF-H1, aPKC, PP2A, Rab3b, Rab13, PTEN, and 7 H6 [5].
Two types of barrier functions are described to be mediated by TJs, namely the gate and the fence functions [1]. Indeed, the regulation of paracellular permeability is one of the major physiological functions of TJs, as this controls the transport of molecules across tissues, and between different body compartments [6]. In this context, selective permeability is tightly controlled by size and charge. The size-selective pathway allows the diffusion of macromolecules up to a size limit of ∼30–60 Å, in contrast to the charge-selective small-pore pathway with pore diameters of ∼4–8 Å [7]. On the other hand, TJ proteins are involved in the fence function, also known as the intramembrane diffusion barrier, which refers to the segregation of the apical and basolateral plasma membranes [8].
Beyond their classical functions, TJ proteins also modulate polarity, differentiation, growth and proliferation, as well as cell migration and motility, as these molecules act as arbitrators and transducers of cell-to-cell adhesion and signaling cascades [9]. Consequently, TJ protein alteration during pathological processes has been described to interfere with the proper functioning of the cellular machinery and homeostasis maintenance [10]. In cancer, changes in the expression and/or localization of these molecules are frequently reported (Figure 1) [11]. However, many of these studies are observational, and well-founded mechanistic studies that link these multi-component complexes to disease pathogenesis are lacking [12]. Dissecting the role of TJ complexes in various aspects of oncogenic transformation could catalyze our conception of TJ proteins as bidirectional signaling hubs and advance our perception of their multifunctional nature as an inherent player of the evolutionarily conserved signaling cascades. In this context, this review aims to tackle the interrelation between TJ components and signal transduction in cancer pathophysiology from a molecular, rather than a cellular biology perspective. Considering the frequent dysregulation in malignant diseases, we further discuss TJ components as targets of anti-cancer treatments.

2. From Intercellular Adhesion and Polarity Regulators to Signaling Modulators in Cancer Biology

The complexity of TJ functionality is highlighted by their dual and differential expression patterns in different cancer types, where loss of expression, or alternatively overexpression, are described to promote tumorigenesis [13]. This is further confirmed in several in vivo animal models, where the aberrant expression of TJ proteins promotes abnormal cellular proliferation, neoplasia, or metastasis [11]. At a glance, 5297 abstracts were identified by Vermette and coworkers as potential articles that emphasize the relationship between biomarkers of endothelial or epithelial TJ structures or functions and critical illness [14]. In this setting, recent data have repositioned the perception of TJ proteins from a simple static constituent of junctions to multi-component and multi-functional signaling complexes involved in the regulation of a multitude of cellular events [15]. For example, the 44 amino acids (aa) at the COOH-terminal end of occludin were shown to play a critical role in receiving and transmitting intracellular apoptosis-inducing signals [16]. Of note, beside modulating established signaling cascades, some TJ-associated proteins can translocate to the nucleus where they regulate gene expression [17].
Among the complex events that mediate oncogenesis, alterations in signal transduction pathways are the most commonly described [18]. Recently, through an integrated analysis of The Cancer Genome Atlas (TCGA), Sanchez-Vega and coworkers emphasized individual and co-occurring actionable alterations in the 10 main oncogenic pathways as potential drivers and functional contributors of oncogenic transformation [19]. This repertoire of analyzed pathways includes the following: (1) cell cycle alterations, (2) Hippo signaling, (3) Myc signaling, (4) Notch signaling, (5) phosphatidylinositol-3 kinase (PI3K) signaling, (6) oxidative stress response, (7) receptor-tyrosine kinase (RTK)/RAS/mitogen-activated protein kinase (MAPK) signaling, (8) transforming growth factor-beta (TGF-β) signaling, (9) Wnt/β-catenin signaling, and (10) p53 [19]. Interestingly, interactions between tight junction components and these pathways have been described. The following section discusses illustrative examples of various TJ proteins crosstalks with the aforementioned pathways, with a detailed mapping of these signaling cascades being developed in the subsequent section. Regarding cell cycle alteration, ZONAB, which is known to bind to the SH3 domain of ZO-1, was shown to regulate cellular proliferation and G1/S phase progression through interacting with the cyclin-dependent kinase 4 (CDK4) [20]. Intriguingly, ZO-2-mediated transcriptional repression of cyclin D1 and the subsequent cell proliferation alteration was suggested to be mediated by the interaction with c-Myc [21]. The latter was also studied in the context of CLDN perturbation, where CLDN7 knockdown increased c-Myc expression at the transcriptional and proteomic levels [22]. CLDN1 overexpression, on the other hand, increased c-Myc levels in colon cancer cells [23]. Regarding oncogenic pathways, CLDN18 overexpression was shown to decrease Yes-associated protein (YAP) nuclear localization and transcriptional activity, whereas its loss decreased YAP interaction with Hippo kinases p-LATS1/2 [24]. In addition, CLDN18 and YAP were shown to interact and colocalize at cell–cell contact, with CLDN18 being identified as a YAP regulator [24]. Beside the Hippo/YAP pathway, other oncogenic signaling cascades were described to be modulated by TJ proteins. For instance, by inducing matrix metalloproteinase-9 (MMP-9) and extracellular signal-regulated kinase (ERK) signaling, CLDN1 regulates Notch signaling and cellular differentiation [25], as well as β-catenin pathway activation, mediating colitis-associated cancer [26]. Beside CLDNs, occludin was also described to interact with other signaling pathways, for instance the PI3K cascade. Indeed, the latter interacts with occludin through its C-terminal tail, where p85, the regulatory subunit of PI3K, co-immunoprecipitates with occludin [27]. Specifically, a 27 aa peptide of the coiled coil domain of occludin was identified to act as a site for specific interactions with several potential regulatory proteins [28]. Of note, oxidative stress increases the association of PI3K with occludin [27]. Beside PI3K, the activity of Ras effectors, including Raf kinases, is described to contribute to the sequential activation of the ERK/MAPK pathway. In this context, occludin may act as a pivotal signaling molecule, where its overexpression inhibits anchorage-independent growth and Raf-1-mediated transformation of salivary gland epithelial cells [29]. In addition, occludin extracellular loop 2 regulates the localization of TGFÎ2, the TGF-β type I receptor responsible for inducing the dissolution of tight junctions and acquisition of a mesenchymal phenotype [30]. Taken together, an intimate link appears to bridge TJ proteins to the well-established signaling pathways in carcinogenesis. Indeed, various TJ components crosstalk with a myriad of signaling pathways by directly modulating these cascades or through intermediate proteins, such as kinases and phosphatases. In addition, TJ proteins conserve the ability to rapidly modulate their functional properties and permeability in response to oncogenic stimuli. These diverse regulatory mechanisms not only allow the fine tuning and transmission of external signals to the cell interior, but also position TJ protein dynamics as a key aspect in cancer initiation and progression.

3. Tight Junction Proteins as Central Mediators of Cancer Hallmarks

The following section thoroughly examines the functional crosstalk between a variety of TJ components and the myriad of signaling pathways that control cell dynamics, in terms of survival, migration, epithelial-to-mesenchymal transition and stemness (Figure 2). The role of TJ components in epigenetic cell regulation is also discussed.

3.1. Modulation of Proliferation and Apoptosis Resistance in Cancer Initiation and Progression

Standing as the most fundamental trait of cancer cells, sustained proliferative signaling is the first cancer hallmark among others to support tumor development and progression [31]. Emerging evidence points toward TJ proteins as essential regulators of cell proliferation through multiple mechanisms, including, but not limited to, microenvironment alteration, transcriptional regulation, and alteration in the cellular localization of cell cycle control proteins [32]. In this context, knockdown of the tight junction protein 1 (TJP1) gene expression significantly decreased bladder cancer cells’ growth, via dysfunction of the miR-455-TJP1 axis, where the latter suppressed TJP1 expression by directly targeting its 3′-untranslated region [33]. Another microRNA, miR-497, was also described to inhibit cell proliferation upon decreased CLDN2 expression. Mechanistically, treatment with the HDAC inhibitors trichostatin A and sodium butyrate decreases the stability of CLDN2 mRNA through the elevation of miR-497 [34]. CLDN2 expression increased cellular proliferation, anchorage-independent growth and tumor growth in vivo, potentially via the epidermal growth factor receptor (EGFR) transactivation, a key regulator of colorectal carcinogenesis [35]. Furthermore, inhibition of cell proliferation in lung adenocarcinoma is partly related to the decrease in CLDN2 expression upon treatment with the DNA methyltransferase inhibitor azacitidine (AZA) [34]. This is explained by the decrease in NF-κB phosphorylation and binding to the promoter region of CLDN2 [36]. Besides, CLDN2 retains its ability to complex with ZO-1, ZONAB, and cyclin D1, sequestering them in the nucleus, which results in enhanced cellular proliferation in lung adenocarcinoma [37]. Moreover, lipidoid-formulated CLDN3 siRNA intratumoral and intraperitoneal injections significantly reduced cell proliferation in OVCAR-3 xenografts, and tumor burden in MISIIR/TAg transgenic mice, respectively [38]. In addition, CLDN4 overexpression increased MCF-7 cells’ proliferation, with tumor size in nude mice transplanted with CLDN4-silenced MCF-7 cells being reduced [39].
Cell cycle regulators/effectors and apoptotic stimuli link cellular proliferation to apoptosis, with the dysregulation of this programmed cell death being one of the leading drivers of tumorigenesis [40]. For example, it was shown that CLDN1 knockdown couples cycle arrest to apoptosis due to the upregulation of β-catenin expression [41]. In this context, the functional role of TJ proteins has been described in apoptosis, with their disruption considered as an early event that initiates caspase activation and cell death through the interaction of occludin and CLDNs with the extrinsic apoptotic signaling pathway [42]. Indeed, CLDN1 exhibits anti-apoptotic effects under tamoxifen or TNF-α treatment in MCF-7 cells, with its knockdown increasing the expression of caspase-8 and cleaved poly (ADP-ribose) polymerase (PARP) [41,43]. An anti-apoptotic function of CLDN1 was also corroborated in nasopharyngeal carcinoma cell lines under serum deprivation or 5-fluorouracil treatment [44]. Furthermore, caspase-3 activation was increased following treatment with the apoptotic inducer staurosporine upon CLDN4 expression loss in ovarian tumor cells [45]. In line with these findings, CLDN4 overexpression reduced the rate of cell apoptosis [39]. On the other hand, resistance to anikois, an apoptosis subtype, is a critical prerequisite for carcinoma progression [46]. CLDN1 expression confers resistance to anoikis in colon cancer cells. This is mainly dependent on the activation of Src, a tyrosine kinase identified to promote anoikis resistance, with which CLDN1 was described to form a multiprotein complex, along with ZO-1 [47]. This results in the modulation of Akt phosphorylation and increased Bcl-2 expression. Furthermore, CLDN1-mediated anoikis resistance and Scr involvement were also described in gastric cancer [48]. A potential role for β-catenin has been described in CLDN1-regulated anoikis resistance in gastric cancer cells, with β-catenin overexpression also reactivating Akt and Src signaling [48]. Interestingly, the contribution of CLDNs to anoikis resistance, and their potential therapeutic druggable potential are highlighted by the antitumor effect of the quinazoline-based doxazosin derivative DZ-50 [49]. Indeed, this agent interferes with tumor growth and metastasis via sensitizing cells to anoikis, by targeting key functional intercellular interactions, focal adhesions, and tight junctions in prostate cancer. In this context, treatment with DZ-50 resulted in decreased cell survival, migration and adhesion to extracellular matrix components, with one of the primary downregulated targets of DZ-50 being CLDN11 [49]. It is worthy to mention that a pro-apoptotic role of CLDNs and occludin has also been reported [42]. For example, the number of apoptotic cells was decreased upon intratumoral injection of CLDN3 siRNA into OVCAR-3 xenografts [38]. This differential functionality could be related to the experimental model or the pathophysiological state in which these proteins were studied. Indeed, similar pro- and anti-apoptotic roles were reported for other molecules, for instance nitric oxide, where its dual contrasting apoptotic functions were dependent on its concentration, flux and cell type [50].
Beside descriptive findings, the interrelation between tight junction dynamics and intracellular signaling pathways that control cell cycles and apoptosis has not been fully explored. This highlights the unmet need to study the functional links between TJ modulation and prominent pathways that regulate proliferation and apoptosis, to link extracellular signals to transcription factors in the nucleus. These mainly include the MAPK/Ras/Raf/ERK, PI3K/Akt, Janus kinase/signal transducer and activator of transcription (JAK/STAT), wingless-related integration site (Wnt), and TGF-β pathways [51]. However, this is complexified by the functional crosstalk between these transduction cascades that not only regulate cell death and proliferation, but also converge to modulate invasion, metastasis and cellular plasticity, as discussed in the succeeding section.

3.2. Members of the TJ Protein Family as Regulators of Cell Migration and Plasticity

Abnormal TJ protein expression is linked to changes in cell plasticity and differential induction or suppression of EMT, thus highlighting these proteins as major regulators of invasion and metastasis [52]. In this context, CLDN1 expression was linked to enhanced invasiveness and metastasis of multiple malignancies, such as gastric carcinoma [53] and colon cancer [23,54]. Moreover, CLDN1 was described to promote mesenchymal transformation in hepatocellular carcinoma (HCC) by upregulating Slug and Zeb1 [55], and to enhance the invasive ability of oral squamous cell carcinoma by promoting the cleavage of laminin-5 gamma2 chains via MMP-2 and membrane-type MMP-1 [56]. Indeed, it is well conceived that CLDNs enhance cell invasion via the activation of MMPs [57]. In particular, CLDN1 activation of MMP-2 is mediated through the stimulation of the protein kinase C (PKC) signaling pathway in a panel of melanoma cell lines [58]. CLDN6 was also shown to induce MMP-2 activation through CLDN1. The latter is described to interact with the extracellular proMMP-2 through its ECLs, resulting in its activation by MMP-14 in human adenocarcinoma gastric cancer cells [59]. CLDN2, on the other hand, was described to increase the mRNA level and enzymatic activity of MMP-9 through elevating Sp1 nuclear distribution in the human lung adenocarcinoma cell line A549 [60]. In turn, proteolytically active MMPs not only degrade the ECM, but also form new cell–matrix and cell–cell attachments and change the adhesive phenotype of tumor cells toward EMT [61]. Beside proteases, CLDN7 expression was described to regulate E-cadherin expression and invasion in esophageal squamous cell carcinoma cells [62]. In addition, CLDN7 is required to recruit EpCAM for TACE/presenilin2, resulting in the generation of the EpCAM-cleaved intracellular domain, EpIC. The latter is responsible of the induction of EMT-associated transcription factor expression [63]. This broadens the conceptual framework for the mechanisms by which TJ proteins modulate invasion.
On the other hand, although CLDN4 overexpression increased the migration of breast cancer cells [39], the invasiveness and metastatic potential of pancreatic cancer cells was shown to be decreased upon CLDN4 expression [64]. In addition, CLDN7 downregulation may promote invasion and metastasis of colorectal cancer [65], and was positively correlated with the depth of invasion, lymphatic vessel invasion and lymph node metastasis in esophageal squamous cell carcinoma [66]. This positive correlation was also described for venous invasion and liver metastasis in the context of colorectal cancer [67] and distant metastases in high-grade serous ovarian carcinoma patients [68]. MarvelD3 was transcriptionally downregulated during mesenchymal transition in pancreatic cancer cells [69], whereas its expression inhibits EMT, along with NF-κB pathway inactivation, a main regulator of EMT and cell metastasis [70]. In line with these findings, MarvelD3, a dynamic regulator of the MEKK1–c-Jun NH2-terminal kinase (JNK) pathway, was described to reduce pancreatic cancer cells’ tumor formation in vivo and Caco-2 cells’ proliferation and migration. Indeed, MarvelD3 recruits MEK kinase 1 (MEKK1), an MAPK kinase, leading to the downregulation of JNK phosphorylation. Subsequently, this inhibits JNK-mediated transcriptional mechanisms that regulate cell behavior, including migration [71]. This highlights the fact that the altered expression of TJ proteins in various cancer types and tissues might differentially modulate cell migration, invasion and metastasis, with a potential disparity in transduction pathway activation. Despite this, it is well reported that these TJ proteins act as a pivot for intracellular signaling pathways that modulate metastasis in several malignancies [52], as detailed in the following section.
TGF-β-dependent pathway signaling. Among the pathways established to induce EMT, canonical SMAD-dependent TGF-β signaling is described to be a major driver [72]. In fact, TGF-β-induced cell migration is linked to the induction of CLDN1 expression in ovarian cancer cells [73]. Additionally, the RNA-binding motif protein 38 (RBM38), a pivotal mediator of TGF-β-induced EMT, positively regulates ZO-1 transcription via direct binding to AU/U-rich elements in its mRNA 3′-UTR in breast cancer [74]. On the other hand, SMAD2 suppresses CLDN6 expression through DNMT1-mediated methylation of CLDN6 promoter, thus promoting cell migration and invasion in breast cancer [75]. Beside direct modulation, CLDNs can contribute to the release of active TGF-β, thus enhancing EMT. For example, CLDN1 activates the membrane-type 1 matrix metalloproteinase, as mentioned previously [56], which is responsible for the proteolytical release of TGF-β from the subendothelial matrix [76]. Similarly, TGF-β1, its receptor, and receptor-mediated signaling are partly activated by MMP-2, also induced by CLDN1 [77].
Ras-Raf-MEK-ERK and PI3K/Akt signaling. TGF-β-induced EMT can also occur through non-SMAD pathways, for instance Ras-Raf-MEK-ERK and PI3K/Akt pathways [72]. The c-Abl-Ras-Raf-1-ERK1/2 signaling axis was shown to be activated upon CLDN1 expression, with the subsequent upregulation of Slug and Zeb1 and EMT induction in Chang cells [55]. In this context, PKCα regulated CLDN1 expression via Snail- and MAPK/ERK-dependent pathways during EMT in human pancreatic cancer, shedding the light on the potential therapeutic status of PKCα inhibitors [78]. In line with these findings, Snail, but not Zeb1 nor Twist1, was also highlighted for its CLDN6-mediated invasive abilities in gastric cancer. Indeed, CLDN6 increased YAP1 nuclear translocation, which enhanced the interaction between YAP1 and Snail1 to promote EMT [79]. Furthermore, Snail enhanced the migration of squamous cell carcinoma by inducing the expression of CLDN11 through the tyrosine-mediated phosphorylation of the latter, which activated Src and suppressed RhoA activity [80]. CLDN6 also enhanced endometrial carcinoma cell migration via the PI3K/AKT/mTOR signaling pathway [81]. Junctional adhesion molecule-A (JAM-A) led to EMT via the activation of the PI3K/Akt pathway in human nasopharyngeal carcinoma [82]. On the other hand, expression of CLDN1 inhibited the migration potential of human osteosarcoma cells through the inhibition of the Ras/Raf/MEK/ERK signaling pathway [83]. Furthermore, CLDN3 and CLDN4 impeded EMT in ovarian carcinoma through the activation of the PI3K/Akt pathway [84], in line with CLDN7-mediated inhibition of cell migration and invasion through the ERK/MAPK signaling pathway in human lung cancer cells [85]. In parallel, CLDN18 suppressed human lung adenocarcinoma cell motility by inhibiting the PI3K/PDK1/Akt signaling pathway [86]. In addition, it has been shown that occludin downregulation in the context of Ras-Raf-driven epithelial transformation might play an essential role in mediating the loss of the structure and function of epithelial TJs through the MEK-ERK signaling pathway [29]. This differential regulation of cell behavior highlights the context-dependent role of TJ proteins as inducers or inhibitors of EMT in carcinogenesis.
Wnt/β-catenin/T-cell and lymphoid enhancer (TCF-LEF) signaling. Dysregulation of Wnt/β-catenin signaling can trigger the induction of EMT, which could lead to metastasis. This is mainly mediated by β-catenin nuclear translocation and binding to TCF-LEF factors, which activates the transcription of target genes with a pro-invasive expression profile [87]. Smad4 is a central intracellular signal transduction component of the TGF-β family that was described to mediate invasion suppressive effects in colon cancer via the modulation of β-catenin/TCF-LEF activity, resulting in the repression of CLDN1 transcription [88]. This is further confirmed by the positive correlation of CLDN1 expression levels with β-catenin levels in gastric cancer [89]. Furthermore, CLDN3-modulated EMT is mediated through the regulation of the Wnt/β-catenin signaling pathway in lung squamous cell carcinoma [90], a role also shared by CLDN4 [91]. CLDN7 expression is significantly correlated with lymph node metastasis in salivary adenoid cystic carcinoma, where its expression regulates metastasis also through the modulation of Wnt/β-catenin signaling [92].
STAT signaling. The activity of a multitude of master EMT transcription factors that function to stimulate rapid transitions between epithelial and mesenchymal phenotypes is regulated by STAT3 [93]. CLDN9 was shown to promote the invasive behavior of hepatocytes in vitro, by activating the Tyk2/STAT3 signaling pathway [94]. On the other hand, Tyk2/STAT1 signaling was described in CLDN12-induced EMT in lung squamous cell carcinoma [95].
Beside signaling pathways, the localization of tight junction proteins is also altered during EMT. Enhanced non-junctional CLDN1 expression, e.g., in the nucleus or cytoplasm, was detected in colon carcinomas and metastatic lesions, in contrast to cell membrane-restricted staining in normal colonic mucosa [23]. It is worth mentioning that besides single tumor cell metastasis, collective cell migration is also described as a fundamental process where migrating clusters maintain cell-to-cell junctions and exhibit a higher invasive capacity and therapeutic resistance compared to single cell migration [96]. In this context, the aberrant expression of CLDN1 was shown to support collective cell migration [97]. In addition, CLDN11 was described to prompt the formation of circulating tumor cell clusters through the activation of a Snail–CLDN11 axis in head and neck cancers [80]. In line with these findings, the overexpression of CLDN11 and occludin was described to enhance the collective migration of peritumoral cancer-associated fibroblasts via TGF-β secretion [98,99].
Whether CLDNs retain the junctions between cancer cells or form cell adhesion complexes to enhance the metastatic efficiency remains unclear. Further studies are needed to decipher the additional aspects regarding the mechanisms by which TJ proteins modulate the modes of EMT-mediated cancer migration. This can be further clarified by coupling the study of the altered signaling pathways to the localization of the dysregulated TJ proteins. Importantly, and in the light of the heterogenic roles of TJ components at different stages of the metastatic cascade, context-dependent and individual assessment of these proteins’ role could reveal novel therapeutic targets. As many of the migration and EMT studies cited above have been conducted in conventional cell culture systems, the adoption of experimental models that reflect better physiological or pathological characteristics raises a crucial unmet need.

3.3. Functional Role of Tight Junction Proteins in Cancer Cell Stemness

With their first identification in 1994, cancer stem cells (CSCs) emerged as a critical cancer subpopulation subset endowed with tumor-initiating properties, self-renewal abilities and multi-lineage differentiation, opening the door toward tumor heterogeneity and therapeutic resistance [100].
A growing body of evidence points toward the important role of tight junction proteins, in particular CLDNs, in cancer stem-like cell biology [101]. In this setting, claudin functions are regulated at various levels, and by distinct mechanisms. cDNA microarray analysis identified CLDN1 as one of the most significantly upregulated genes in ovarian cancer-initiating cells [102]. Moreover, CLDN1 overexpression was shown to induce dedifferentiation in primary colon adenocarcinoma [23]. CLDN2 promoted the self-renewal of colon cancer cells in vitro, as well as colorectal cancer self-renewal in vivo, along with increasing the population of ALDHHigh stem-like cells and favoring phenotypic transitions from ALDHLow toward ALDHHigh subpopulations [99]. Furthermore, CLDN3 was uncovered as a positive regulator of cancer stemness in non-squamous non-small cell lung carcinoma, where stemness suppression and chemoresistance reversal were observed upon CLDN3 transcriptional activity downregulation [103]. In contrast, CLDN1 depletion increased the invasive and CSC-like properties of hepatocellular carcinoma cell lines [104]. In line with these findings, CLDN7 deficiency was shown to confer stemness properties and to promote tumor-initiating cell features in colorectal cancer stem cells [22].
CSC regulation is complex and multiple intracellular signaling pathways and extracellular factors have been shown to be implicated. Of those, the Hedgehog (Hh) and Notch pathways are highlighted as key signals in this specific cell phenotype [105].
Hedgehog pathway. As an evolutionarily conserved pathway that is essential for cell fate determination, the aberrant activation of the Hh pathway serves as a crucial asset for CSC function and maintenance during tumorigenesis [106]. In this context, the expression of CLDN3, CLDN5, occludin, and JAM-A was increased in response to the activation of Hedgehog signaling. In contrast, treatment with cyclopamine, an Hh pathway inhibitor, decreased the expression of these proteins [107]. Cyclopamine also downregulated CLDN4 and occludin expression in colon cancer stem cells [108]. Importantly, CLDN1 is pinpointed as a direct transcriptional target of Hh pathway activation in breast cancer, as evidenced by the correlation between membranous CLDN1 expression and Hh paracrine pathway activation [109].
Notch pathway. Beside the Hh pathway, CLDN1 was identified as one of the dynamic regulators of Notch signaling [25]. CLDN1 overexpression increased Notch and Wnt signaling at the transcriptomic level, as evidenced by an increase in Hes1 and a decrease in Math1 expression in a mouse colon cancer model [110]. Indeed, CLDN1 upregulation activates Notch signaling in parallel to the induction of MMP-9 expression and p-ERK signaling, thus interfering with cellular differentiation, and enhancing susceptibility to mucosal inflammation and hyperplasia [25]. Beside the mentioned mechanisms, upregulated CLDN1 expression was shown to promote Notch signaling through its noncanonical role in regulating Notch/PI3K/Wnt/β-cateninSer552 signaling, which underlies the induction of colitis-associated cancer [26]. Interestingly, this CLDN1/Notch axis could be therapeutically targeted by CLDN1-specific monoclonal antibodies, with the latter resulting in the inhibition of Notch cleavage in HCC cell-based and CDX animal models [111]. Moreover, the Notch signaling pathway was identified as one of the pathways that is regulated by CLDN5 in the context of lung cancer brain metastasis [112]. In addition, upregulated Notch expression in holoclones was associated with CLDN7 expression in colon adenocarcinoma [113].
Miscellaneous pathways. Other pathways are also implicated in CSC biology [114]. For example, the CLDN2-dependent regulation of stem-like cell self-renewal is mediated through the activation of YAP and downstream repression of miR-222-3p [99]. Moreover, indirect protein interaction was reported between CLDN7 and SOX9, a vital player in CSC self-renewal and a master regulator of several stem cell markers [22]. The human growth hormone (hGH)-STAT3-CLDN1 axis was described to be responsible for invasive and CSC-like properties in HCC [104]. Furthermore, CLDN1 regulation during ovarian cancer-initiating cell proliferation and invasion was shown to be mediated by miR-155, where the endogenous mature form of the latter may inhibit cancer-initiating cell growth via reducing CLDN1 expression by targeting its mRNA on the 3’-UTR [115].
Beside the potential role of TJ proteins in the regulation of CSC cell biology, a subsequent correlation with poor prognosis, therapeutic resistance and relapse could be speculated, all of which being key characteristics of CSCs [100]. Indeed, multiple tight junction proteins were highlighted as potential biomarkers in the prognostic outcome of cancer patients. For example, elevated JAM-A expression is significantly correlated with poor prognosis in breast cancer patients [116]. Partitioning defective protein 3 (Par3) and ZO-1 clustering on the cell membrane are indicators of poor prognosis in lung squamous cell carcinoma [117]. Moreover, CLDN1 is correlated with a poor prognosis of oral squamous cell carcinoma [118] and lung adenocarcinoma [119]. The poor prognosis of gastric and breast cancer patients is associated with CLDN4 overexpression, in line with the poor prognostic value of CLDN7 in gastric cancer [120,121,122].
On the other hand, the development of therapeutic resistance is a major challenge facing cancer therapy, in which CSCs play an important role [100]. Various mechanisms are employed by TJ proteins to mediate chemoresistance, including their effects on apoptosis and autophagy, as well as on drug transporters. In this setting, cisplatin resistance in non-small cell lung cancer was shown to be promoted by CLDN1-induced activation of autophagy via the activation of ULK1 phosphorylation [123]. Doxorubicin resistance was also reported in lung adenocarcinoma cells, where CLDN1 is speculated to inhibit the penetration of anticancer drugs into the target area [124]. CLDN4 knockdown increased cellular accumulation and sensitivity to cisplatin, pointing towards the potential involvement of CLDN4 in platinum resistance in ovarian cancer [125], in line with the enhanced sensitivity toward carboplatin and paclitaxel upon CLDN1 knockdown in ovarian cancer cells [126]. This could be partly explained by the interactions of some CLDNs with the microtubule network, notably tubulin, resulting in the re-shaping of its structure and polymerization toward a reduced apoptotic response to the microtubule-targeting paclitaxel [127]. Alternatively, relapse-free survival (RFS) was significantly shorter in high versus low CLDN2 or CLDN5 expression in breast cancer [128,129], with high CLDN4 expression also being associated with worse RFS [121]. Furthermore, the substantial association between high CLDN2 expression in cancer-associated fibroblasts and shorter survival in 5-fluorouracil- and oxaliplatin-treated metastatic colorectal cancer patients has been reported [130]. In addition, cytoplasmic CLDN3 and CLDN7 expression was associated with poor RFS in triple-negative breast cancer [131]. In the context of HCC, CLDN10 expression was underlined as a molecular marker of disease recurrence after curative hepatectomy [132]. Nevertheless, various studies have reported a negative correlation between tight junction protein expression and poor prognosis, therapeutic resistance, or disease relapse [101]. Furthermore, contradictory findings were also reported for the same CLDN molecule. For example, in renal cell carcinoma, CLDN1 expression was correlated with shortened disease-specific patient survival; however, an opposite finding was described for papillary renal cell carcinoma [133]. This emphasizes the heterogenous nature of tumors and the potential differential expression pattern of tight junction proteins during distinct stages of tumor development, as well as cellular differentiation. This requires a careful assessment of these molecules, as the interplay between cancer stem cell enrichment and TJ proteins can reveal potential clinical perspectives of the latter as clinicopathologic parameters or prognostic factors.

3.4. TJ Proteins and Epigenetic Regulation in Cancer

In a recent update published in 2022, Hanahan proposed “nonmutational epigenetic reprogramming” as a new distinctive enabling characteristic that expedites the acquisition of cancer hallmark capabilities during tumor development and progression [134], highlighting the importance of these modifications in oncogenic transformation. In this setting, various epigenetic mechanisms are reported to regulate tight junction protein expression in favor of malignant transformation.
Although playing an essential role in biologic processes, aberrant promoter methylation is extensively associated with carcinogenesis [135]. The CpG island hypermethylation of occludin promoter enhances the tumorigenic, invasive, and metastatic properties of cancer cells [16]. JAM-3 is frequently downregulated in colorectal cancer through DNA methylation [136], with the latter also silencing CLDN1 [137]. CLDN3 promoter hypermethylation is described in HCC and advanced gastric adenocarcinoma [138,139], as well as the hypermethylation of CLDN11 promoter in melanomagenesis [140]. On the other hand, CLDN4 upregulation during early gastric tumorigenesis is strongly associated with DNA hypomethylation, along with decreased repressive H3K27me3 and H4K20me3 histone marks, and an increased active H3K4me3 and H4Ac histone marks [141]. CLDN5 is also identified as an aberrant methylation target in pancreatic carcinoma [142], as well as CLDN6 in breast and esophageal squamous cell carcinoma [143,144], and CLDN7 in breast ductal [145] and colorectal carcinoma [146]. Interestingly, differential CLDN4 expression reported as CLDN4 overexpression in differentiated carcinomas compared to the downregulation in invasive/high-grade bladder tumors was associated with a low versus high level of CLDN4 methylation, respectively [147]. This is also noted with CLDN1, with an increased promoter methylation-expression pattern in recurrent ovarian cancer, compared to the primary cancer [126]. In addition, CLDN1 promoter CpG island methylation was relatively frequent in estrogen receptor-positive breast cancer, but not estrogen receptor-negative samples [148]. This could point towards a complex and differential epigenetic-mediated expression pattern of TJ proteins in different tumor stages and grades, highlighting their potential as promising prognostic markers. In fact, CLDN1 has been described as a strong prognostic indicator of disease recurrence and poor patient survival in stage II colon cancer [149]. Furthermore, the combined low expression of CLDN3, -4, -7 and -8 in metaplastic and basal-like breast cancer is proposed to be a strong predictor of disease recurrence [150].
Epigenetic modulation of tight junction proteins is best demonstrated through treatment with epigenetic modulators/inhibitors. Indeed, AZA, a DNA methylation inhibitor, was found to downregulate CLDN2 expression [34]. Interestingly, in this context, epigenetic modulation could intersect with intracellular signaling pathways, in addition to regulating gene transcription. For instance, it was reported that CLDN2 is downregulated through the inhibition of Akt and NF-κB phosphorylation by AZA [34]. Indeed, interactions between the epigenetic machinery and various signaling pathways, including MAPK, Notch, Wnt, JAK/STAT, NF-κB and JNK pathways, have been described [151]. It could be of interest to link epigenetic modifications to signaling pathways in order to broaden our understanding of the complex, yet intersecting, mechanisms by which a cell induces transcriptional changes in response to external and internal signals during carcinogenesis. In this context, special attention should be paid to the dynamic nature of the tumor microenvironment, as it is correlated with the epigenetic re-programming and the activation of tumor-promoting signaling cascades by harboring various hormones and growth factors. For example, estrogen stimulation upregulates CLDN1 expression in cervical adenocarcinoma via G protein-coupled receptor 30 through ERK and/or Akt signaling [152].
Taken together, signaling mediated by members of the TJ protein family plays a key role in the pathogenesis of solid tumors and is associated with tumor initiation, progression, and metastasis. These functional effects correlate with differential subcellular delocalization and expression patterns. However, the complexity and plasticity associated with the functions of TJ proteins in the mediation of tumorigenesis go beyond signaling pathway perturbations. This includes the loss of membrane polarity via tight junction abnormalities, increased paracellular permeability and junctional remodeling. The resulting dysregulation of this machinery can have deleterious effects not only on cellular homeostasis, but also on the interactions with the extracellular matrix. Coupling the perturbations in cell-to-cell adhesion to adhesion-independent signal transduction perturbations will broaden our understanding of how TJ molecules contribute to cancer pathogenesis.

4. Members of the Tight Junction Protein Family as Targets for Cancer Treatment

Considering the critical role of tight junctions in carcinogenesis, these proteins are currently perceived as potential therapeutic targets, with multiple approaches being employed, ranging from monoclonal antibodies (mAbs) and targeting molecules, to therapeutic gene delivery [13].
Antibodies that target the TJ components have been recently described, with their pharmaceutical activities being explored in experimental and clinical settings. Importantly, this therapeutic targeting is not limited to junctional proteins, but has also been applied to exposed TJ proteins located outside the TJs. Overexpression of non-junctionally exposed CLDN1 has been described at the basolateral membrane of human hepatocytes during advanced liver fibrosis and hepatocellular carcinoma, where CLDN1 mediates key regulatory cell functions, such as differentiation, proliferation, and migration, by recruiting signaling proteins in response to extracellular stimuli [153]. Non-junctionally exposed CLDN1 serves as a cell entry factor of HCV—a major cause of liver cancer worldwide [154]. Interestingly, treatment with humanized monoclonal antibodies (mAbs) that selectively target the extracellular loop 1 of non-junctionally exposed CLDN1 suppressed liver cancer growth and EMT in patient-derived ex-vivo models and reprogrammed the tumor microenvironment in patient-derived HCC spheroids, an effect also confirmed in in vivo proof of concept CDX and PDX models [155]. Inhibition of cancer growth and invasion was mainly mediated through interference with oncogenic signaling pathways, notably the Notch cascade [111]. In addition, these highly specific mAbs demonstrated significant and robust antitumoral effects in vivo across cell line-derived and patient-derived xenograft models for intra- and extrahepatic cholangiocarcinoma [156]. Safety studies on non-human primates showed no detectable adverse events even at high steady-state concentrations, hence providing a preclinical proof-of-concept for CLDN1-specific mAbs for liver cancer prevention and treatment [157]. Collectively, these data provide an opportunity for the clinical development of CLDN1-specific antibodies for liver cancer. Given the high expression of CLDN1 in other solid tumors [110,158,159], CLDN1-targeting approaches may be used to treat a broad range of solid tumors. On the other hand, treatment with the human–rat chimeric IgG1 1A2 CLDN2-targeting antibody attenuated fibrosarcoma tumor growth without remarkable side effects [160]. The anti-CLDN4 extracellular domain antibody 4D3 synergistically enhanced the antitumoral effects of 5-fluorouracil or the anti-EGFR antibody C225 (cetucimab) in colorectal cancer [161]. KM3900, a monoclonal antibody that recognizes the extracellular loop 2 of CLDN4, induced antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity in vitro, while inhibiting pancreatic and ovarian tumor growth in SCID mice in vivo [162]. Similar anti-tumor activity was also noted upon treatment with KM3907, a dual-targeting monoclonal antibody against the extracellular loop 1 of CLDN3 and CLDN4 [163]. The anti-CLDN6 antibody IMAB027, also known as ASP1650, has been studied in women with recurrent advanced ovarian cancer [164], and men with incurable platinum refractory germ cell tumors [165]. The CLDN18.2-targeting antibodies zolbetuximab (IMAB362; claudixmab) and NBL-015 were also studied in gastro-esophageal cancer [166] and in patients with advanced solid tumors [167], respectively. Notably, NBL-015 was granted the status of orphan-drug designation (ODD) by the U.S. Food and Drug Administration (FDA) for the treatment of pancreatic and gastric cancers, including cancer of gastroesophageal junctions [167]. The ODD status has also been granted to I-Mab’s TJ-CD4B, a first clinical-stage bispecific antibody that binds to CLDN18.2 and the co-stimulatory molecule 4-1BB on T cells to exert a tumor-killing effect in the setting of gastric cancer [168]. Of note, the anti-JAM-C mAb H225 abolished mantle cell lymphoma cell engraftment in a xenograft model [169]. An injection of anti-JAM-A mAb 6F4 significantly inhibited the growth of epidermoid carcinoma xenograft models of MCF-7 and A431 cells [170]. Data that summarize the current results and status of anti-CLDN antibodies in clinical trials are reviewed in Table 1.
Moreover, engineered Clostridium perfringens enterotoxin (CPE)-related molecules, including toxin-conjugated CPE fragments, have demonstrated antitumor effects. For instance, an injection of a CLDN4-targeting molecule, consisting of the fusion of the C-terminal fragment of CPE (C-CPE) and the protein synthesis inhibitory factor (PSIF) derived from Pseudomonas aeruginosa exotoxins, reduced tumor growth in vivo [174]. Another fusion molecule that targets CLDN4 in ovarian cancer cells was also described, with CPE being fused to TNF at its NH(2)-terminal end [175]. Targeted gene therapy of CLDN3 and/or four overexpressing colon cancer cell lines was also described through the use of an optimized CPE-expressing vector that functions as targeted suicide gene therapy, with the latter resulting in rapid and effective tumor cell killing in vitro and in vivo [176]. Nevertheless, CPE immunogenicity and potential toxicity might limit its clinical applications [177]. This could be overcome with local administration, or by adopting alternative technologies, such as the development of monoclonal antibodies that target these TJ proteins, as mentioned above. Other treatment modalities for cancer immunotherapy include the incorporation of a panel of engineered CLDN6 variants into the membrane of retrovirus-derived virus-like particles (VLPs), eliciting complement-dependent cytotoxicity in solid tumors [178]. The latter was also noted upon the administration of a combination of the measles virus and the CLDN6 tumor vaccine [179].
Of note, the anti-JAM-C antibody antitumoral effect was mediated through the inhibition of ERK1/2 phosphorylation [169]. Superior attention to the signaling pathways implicated needs to be granted to thoroughly understand the molecular mechanism of action that underlies the effectiveness of those therapeutic tools. In particular, this could allow the potential repositioning of some of these therapeutic antibodies in the setting of uncurable or resistant malignancies.

5. Conclusions and Perspectives

A large body of research in the last decade has shown that TJ proteins are not only statically expressed in tight junctions to contribute to barrier function, but are dynamically involved in a wide array of cellular processes that regulate proliferation, migration, plasticity, and differentiation, all of which are central to cancer initiation and progression. The differential expression of TJ proteins in cancer, combined with the gain and loss of functions, has unveiled their important functional role in carcinogenesis in a tissue- and context-dependent matter, as well as during diverse stages of cancer progression, including invasion, metastasis, or relapse. Pre-clinical and clinical studies that target several members of the TJ protein family have reported the targetable properties of these molecules, as well as their safety and efficacy. Furthermore, recent clinical studies using monoclonal antibodies have demonstrated that TJ proteins are a valuable target to improve the outcome of solid tumors.

Author Contributions

Conceptualization, T.F.B. and Z.N.; Writing—Original Draft Preparation, Z.N.; Writing—Review and Editing, T.F.B., N.R., P.D. and Z.N. All authors have read and agreed to the published version of the manuscript.

Funding

European Research Council Grant ERC-AdG-2014 HEPCIR (T.F.B.), European Research Council Grant ERC-AdG-2020 FIBCAN #101021417 (T.F.B.), European Research Council Grant ERC-PoC-2016 PRELICAN #7555460 (T.F.B.), European Research Council Grant ERC-PoC-2018 HEPCAN #862551 (T.F.B.), ARC Grant TheraHCC2.0 IHUARC IHU201301187 (T.F.B.), ANRS Grant ECTZ103701 (T.F.B.), SATT Conectus, University of Strasbourg (CANCLAU) (T.F.B.), French National Research Agency LABEX ANR-10-LABX-0028_HEPSYS (T.F.B.), RHU Deliver ANR-21-RHUS-0001 (T.F.B), BX002086 (VA merit) (P.D.), CA250383 (NIH/NCI) (P.D.) and Berta-Ottenstein Programme, University Freiburg (N.R.). This work of the Interdisciplinary Thematic Institute IMCBio, as part of the ITI 2021-2028 program of the University of Strasbourg, CNRS and Inserm, was supported by IdEx Unistra (ANR-10-IDEX-0002), and by the SFRI-STRAT’US project (ANR 20-SFRI-0012) and EUR IMCBio (ANR-17-EURE-0023), under the framework of the French Investments for the Future Program. The authors’ work is supported by French state funds managed by the ANR within the France 2030 program (ANR-21-RHUS-0001).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The illustrations in the figures were created with BioRender.com, which was accessed on 15 July 2022.

Conflicts of Interest

Inserm, the University of Strasbourg, Strasbourg University Hospitals, have filed patents and patent application using CLDN1-specific antibodies for the prevention and treatment of HCC (led by TFB). TFB is a founder, shareholder and advisor of Alentis Therapeutics, developing monoclonal antibodies for the treatment of fibrotic diseases and cancer.

References

  1. Zihni, C.; Mills, C.; Matter, K.; Balda, M.S. Tight junctions: From simple barriers to multifunctional molecular gates. Nat. Rev. Mol. Cell Biol. 2016, 17, 564–580. [Google Scholar] [CrossRef]
  2. Schulzke, J.D.; Günzel, D.; John, L.J.; Fromm, M. Perspectives on tight junction research. Ann. N. Y. Acad. Sci. 2012, 1257, 1–19. [Google Scholar] [CrossRef] [PubMed]
  3. Anderson, J.M. Molecular Structure of Tight Junctions and Their Role in Epithelial Transport. News Physiol. Sci. 2001, 16, 126–130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Heinemann, U.; Schuetz, A. Structural Features of Tight-Junction Proteins. Int. J. Mol. Sci. 2019, 20, 6020. [Google Scholar] [CrossRef] [Green Version]
  5. Guillemot, L.; Paschoud, S.; Pulimeno, P.; Foglia, A.; Citi, S. The cytoplasmic plaque of tight junctions: A scaffolding and signalling center. Biochim. Biophys. Acta 2008, 1778, 601–613. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Aijaz, S.; Balda, M.S.; Matter, K. Tight junctions: Molecular architecture and function. Int. Rev. Cytol. 2006, 248, 261–298. [Google Scholar] [CrossRef]
  7. Otani, T.; Furuse, M. Tight Junction Structure and Function Revisited. Trends Cell Biol. 2020, 30, 805–817. [Google Scholar] [CrossRef]
  8. Dragsten, P.R.; Blumenthal, R.; Handler, J.S. Membrane asymmetry in epithelia: Is the tight junction a barrier to diffusion in the plasma membrane? Nature 1981, 294, 718–722. [Google Scholar] [CrossRef]
  9. Martin, T.A. The role of tight junctions in cancer metastasis. Semin. Cell Dev. Biol. 2014, 36, 224–231. [Google Scholar] [CrossRef]
  10. Förster, C. Tight junctions and the modulation of barrier function in disease. Histochem. Cell Biol. 2008, 130, 55–70. [Google Scholar] [CrossRef]
  11. Latorre, I.J.; Frese, K.K.; Javier, R.T. Tight Junction Proteins and Cancer. Landes Bioscience, 2000–2013; Bookshelf ID: NBK6540. Madame Curie Bioscience Database. 2013. Available online: https://www.ncbi.nlm.nih.gov/books/NBK6540/ (accessed on 12 June 2022).
  12. Takano, K.; Kojima, T.; Sawada, N.; Himi, T. Role of tight junctions in signal transduction: An update. EXCLI J. 2014, 13, 1145–1162. [Google Scholar] [PubMed]
  13. Leech, A.O.; Cruz, R.G.B.; Hill, A.D.K.; Hopkins, A.M. Paradigms lost—An emerging role for over-expression of tight junction adhesion proteins in cancer pathogenesis. Ann. Transl. Med. 2015, 3, 184. [Google Scholar] [CrossRef] [PubMed]
  14. Vermette, D.; Hu, P.; Canarie, M.F.; Funaro, M.; Glover, J.; Pierce, R.W. Tight junction structure, function, and assessment in the critically ill: A systematic review. Intensive Care Med. Exp. 2018, 6, 37. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. González-Mariscal, L.; Tapia, R.; Chamorro, D. Crosstalk of tight junction components with signaling pathways. Biochim. Biophys. Acta 2008, 1778, 729–756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Osanai, M.; Murata, M.; Nishikiori, N.; Chiba, H.; Kojima, T.; Sawada, N. Epigenetic silencing of occludin promotes tumorigenic and metastatic properties of cancer cells via modulations of unique sets of apoptosis-associated genes. Cancer Res. 2006, 66, 9125–9133. [Google Scholar] [CrossRef] [Green Version]
  17. Matter, K.; Aijaz, S.; Tsapara, A.; Balda, M.S. Mammalian tight junctions in the regulation of epithelial differentiation and proliferation. Curr. Opin. Cell Biol. 2005, 17, 453–458. [Google Scholar] [CrossRef]
  18. Sever, R.; Brugge, J.S. Signal transduction in cancer. Cold Spring Harb. Perspect. Med. 2015, 5, a006098. [Google Scholar] [CrossRef] [Green Version]
  19. Sanchez-Vega, F.; Mina, M.; Armenia, J.C.; Walid, K.; Luna, A.; La, K.C.; Dimitriadoy, S.; Liu, D.L.; Kantheti, H.S.; Saghafinia, S.; et al. Oncogenic Signaling Pathways in The Cancer Genome Atlas. Cell 2018, 173, 321–337.E10. [Google Scholar] [CrossRef] [Green Version]
  20. Balda, M.S.; Garrett, M.D.; Matter, K. The ZO-1-associated Y-box factor ZONAB regulates epithelial cell proliferation and cell density. J. Cell Biol. 2003, 160, 423–432. [Google Scholar] [CrossRef] [Green Version]
  21. Gonzalez-Mariscal, L.; Tapia, R.; Huerta, M.; Lopez-Bayghen, E. The tight junction protein ZO-2 blocks cell cycle progression and inhibits cyclin D1 expression. Ann. N. Y. Acad. Sci. 2009, 1165, 121–125. [Google Scholar] [CrossRef]
  22. Xu, C.; Ding, Y.-h.; Wang, K.; Hao, M.; Li, H.; Ding, L. Claudin-7 deficiency promotes stemness properties in colorectal cancer through Sox9-mediated Wnt/β-catenin signalling. J. Transl. Med. 2021, 19, 311. [Google Scholar] [CrossRef]
  23. Dhawan, P.; Singh, A.B.; Deane, N.G.; No, Y.; Shiou, S.R.; Schmidt, C.; Neff, J.; Washington, M.K.; Beauchamp, R.D. Claudin-1 regulates cellular transformation and metastatic behavior in colon cancer. J. Clin. Investig. 2005, 115, 1765–1776. [Google Scholar] [CrossRef] [Green Version]
  24. Zhou, B.; Flodby, P.; Luo, J.; Castillo, D.R.; Liu, Y.; Yu, F.X.; McConnell, A.; Varghese, B.; Li, G.; Chimge, N.O.; et al. Claudin-18-mediated YAP activity regulates lung stem and progenitor cell homeostasis and tumorigenesis. J. Clin. Investig. 2018, 128, 970–984. [Google Scholar] [CrossRef] [Green Version]
  25. Gowrikumar, S.; Ahmad, R.; Uppada, S.B.; Washington, M.K.; Shi, C.; Singh, A.B.; Dhawan, P. Upregulated claudin-1 expression promotes colitis-associated cancer by promoting β-catenin phosphorylation and activation in Notch/p-AKT-dependent manner. Oncogene 2019, 38, 5321–5337. [Google Scholar] [CrossRef] [PubMed]
  26. Pope, J.L.; Bhat, A.A.; Sharma, A.; Ahmad, R.; Krishnan, M.; Washington, M.K.; Beauchamp, R.D.; Singh, A.B.; Dhawan, P. Claudin-1 regulates intestinal epithelial homeostasis through the modulation of Notch-signalling. Gut 2014, 63, 622–634. [Google Scholar] [CrossRef] [PubMed]
  27. Sheth, P.; Basuroy, S.; Li, C.; Naren, A.P.; Rao, R.K. Role of phosphatidylinositol 3-kinase in oxidative stress-induced disruption of tight junctions. J. Biol. Chem. 2003, 278, 49239–49245. [Google Scholar] [CrossRef] [Green Version]
  28. Nusrat, A.; Chen, J.A.; Foley, C.S.; Liang, T.W.; Tom, J.; Cromwell, M.; Quan, C.; Mrsny, R.J. The coiled-coil domain of occludin can act to organize structural and functional elements of the epithelial tight junction. J. Biol. Chem. 2000, 275, 29816–29822. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Li, D.; Mrsny, R.J. Oncogenic Raf-1 Disrupts Epithelial Tight Junctions via Downregulation of Occludin. J. Cell Biol. 2000, 148, 791–800. [Google Scholar] [CrossRef]
  30. Barrios-Rodiles, M.; Brown, K.R.; Ozdamar, B.; Bose, R.; Liu, Z.; Donovan, R.S.; Shinjo, F.; Liu, Y.; Dembowy, J.; Taylor, I.W.; et al. High-throughput mapping of a dynamic signaling network in mammalian cells. Science 2005, 307, 1621–1625. [Google Scholar] [CrossRef] [Green Version]
  31. Douglas, H.; Weinberg, R.A. Hallmarks of Cancer: The Next Generation. Cell 2011, 144, 646–674. [Google Scholar] [CrossRef]
  32. Díaz-Coránguez, M.; Liu, X.; Antonetti, D.A. Tight Junctions in Cell Proliferation. Int. J. Mol. Sci. 2019, 20, 5972. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Tsai, K.W.; Kuo, W.T.; Jeng, S.Y. Tight Junction Protein 1 Dysfunction Contributes to Cell Motility in Bladder Cancer. Anticancer Res. 2018, 38, 4607–4615. [Google Scholar] [CrossRef] [PubMed]
  34. Hichino, A.; Okamoto, M.; Taga, S.; Akizuki, R.; Endo, S.; Matsunaga, T.; Ikari, A. Down-regulation of Claudin-2 Expression and Proliferation by Epigenetic Inhibitors in Human Lung Adenocarcinoma A549 Cells. J. Biol. Chem. 2017, 292, 2411–2421. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Dhawan, P.; Ahmad, R.; Chaturvedi, R.; Smith, J.J.; Midha, R.; Mittal, M.K.; Krishnan, M.; Chen, X.; Eschrich, S.; Yeatman, T.J.; et al. Claudin-2 expression increases tumorigenicity of colon cancer cells: Role of epidermal growth factor receptor activation. Oncogene 2011, 30, 3234–3247. [Google Scholar] [CrossRef] [Green Version]
  36. Chang, F.; Lee, J.T.; Navolanic, P.M.; Steelman, L.S.; Shelton, J.G.; Blalock, W.L.; Franklin, R.A.; McCubrey, J.A. Involvement of PI3K/Akt pathway in cell cycle progression, apoptosis, and neoplastic transformation: A target for cancer chemotherapy. Leukemia 2003, 17, 590–603. [Google Scholar] [CrossRef] [Green Version]
  37. Ikari, A.; Watanabe, R.; Sato, T.; Taga, S.; Shimobaba, S.; Yamaguchi, M.; Yamazaki, Y.; Endo, S.; Matsunaga, T.; Sugatani, J. Nuclear distribution of claudin-2 increases cell proliferation in human lung adenocarcinoma cells. Biochim. Biophys. Acta 2014, 1843, 2079–2088. [Google Scholar] [CrossRef] [Green Version]
  38. Huang, Y.H.; Bao, Y.; Peng, W.; Goldberg, M.; Love, K.; Bumcrot, D.A.; Cole, G.; Langer, R.; Anderson, D.G.; Sawicki, J.A. Claudin-3 gene silencing with siRNA suppresses ovarian tumor growth and metastasis. Proc. Natl. Acad. Sci. USA 2009, 106, 3426–3430. [Google Scholar] [CrossRef] [Green Version]
  39. Ma, X.; Miao, H.; Jing, B.; Pan, Q.; Zhang, H.; Chen, Y.; Zhang, D.; Liang, Z.; Wen, Z.; Li, M. Claudin-4 controls the proliferation, apoptosis, migration and in vivo growth of MCF-7 breast cancer cells. Oncol. Rep. 2015, 34, 681–690. [Google Scholar] [CrossRef] [Green Version]
  40. Alenzi, F.Q.B. Links between apoptosis, proliferation and the cell cycle. Br. J. Biomed. Sci. 2004, 61, 99–102. [Google Scholar] [CrossRef]
  41. Akasaka, H.; Sato, F.; Morohashi, S.; Wu, Y.; Liu, Y.; Kondo, J.; Odagiri, H.; Hakamada, K.; Kijima, H. Anti-apoptotic effect of claudin-1 in tamoxifen-treated human breast cancer MCF-7 cells. BMC Cancer 2010, 10, 548. [Google Scholar] [CrossRef]
  42. Beeman, N.; Webb, P.G.; Baumgartner, H.K. Occludin is required for apoptosis when claudin–claudin interactions are disrupted. Cell Death Dis. 2012, 3, e273. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Liu, Y.; Wang, L.; Lin, X.Y.; Wang, J.; Yu, J.H.; Miao, Y.; Wang, E.H. Anti-apoptotic effect of claudin-1 on TNF-α-induced apoptosis in human breast cancer MCF-7 cells. Tumour Biol. J. Int. Soc. Oncodevelopmental Biol. Med. 2012, 33, 2307–2315. [Google Scholar] [CrossRef] [PubMed]
  44. Lee, J.W.; Hsiao, W.T.; Chen, H.Y.; Hsu, L.P.; Chen, P.R.; Lin, M.D.; Chiu, S.J.; Shih, W.L.; Hsu, Y.C. Upregulated claudin-1 expression confers resistance to cell death of nasopharyngeal carcinoma cells. Int. J. Cancer 2010, 126, 1353–1366. [Google Scholar] [CrossRef] [PubMed]
  45. Hicks, D.A.; Galimanis, C.E.; Webb, P.G.; Spillman, M.A.; Behbakht, K.; Neville, M.C.; Baumgartner, H.K. Claudin-4 activity in ovarian tumor cell apoptosis resistance and migration. BMC Cancer 2016, 16, 788. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Gilmore, A.P. Anoikis. Cell Death Differ. 2005, 12, 1473–1477. [Google Scholar] [CrossRef] [PubMed]
  47. Singh, A.B.; Sharma, A.; Dhawan, P. Claudin-1 expression confers resistance to anoikis in colon cancer cells in a Src-dependent manner. Carcinogenesis 2012, 33, 2538–2547. [Google Scholar] [CrossRef] [Green Version]
  48. Huang, J.; Zhang, L.; Qu, Y.; Li, J.; Zhang, J.; Du, T.; Chen, X.; Yu, Y.; Liu, B.; Zhu, Z. Claudin-1 enhances tumor proliferation and metastasis by regulating cell anoikis in gastric cancer. Oncotarget 2015, 6, 1652–1665. [Google Scholar] [CrossRef] [Green Version]
  49. Hensley, P.J.; Desiniotis, A.; Wang, C.; Stromberg, A.; Chen, C.S.; Kyprianou, N. Novel pharmacologic targeting of tight junctions and focal adhesions in prostate cancer cells. PLoS ONE 2014, 9, e86238. [Google Scholar] [CrossRef] [Green Version]
  50. Kolb, J.P. Mechanisms involved in the pro- and anti-apoptotic role of NO in human leukemia. Leukemia 2000, 14, 1685–1694. [Google Scholar] [CrossRef] [Green Version]
  51. Barua, H.C.; Muhammad, R.A.; Kaitlyne, P.; Sutapa, B. The Role of Intrinsic Signaling Pathways in Cell Proliferation. Nano Life 2021, 11, 2030003. [Google Scholar] [CrossRef]
  52. Kyuno, D.; Takasawa, A.; Kikuchi, S.; Takemasa, I.; Osanai, M.; Kojima, T. Role of tight junctions in the epithelial-to-mesenchymal transition of cancer cells. Biochim. Biophys. Acta. Biomembr. 2021, 1863, 183503. [Google Scholar] [CrossRef] [PubMed]
  53. Wu, Y.L.; Zhang, S.; Wang, G.R.; Chen, Y.P. Expression transformation of claudin-1 in the process of gastric adenocarcinoma invasion. World J. Gastroenterol. 2008, 14, 4943–4948. [Google Scholar] [CrossRef] [PubMed]
  54. Kinugasa, T.; Akagi, Y.; Ochi, T.; Tanaka, N.; Kawahara, A.; Ishibashi, Y.; Gotanda, Y.; Yamaguchi, K.; Shiratuchi, I.; Oka, Y.; et al. Increased claudin-1 protein expression in hepatic metastatic lesions of colorectal cancer. Anticancer. Res. 2012, 32, 2309–2314. [Google Scholar] [PubMed]
  55. Suh, Y.; Yoon, C.H.; Kim, R.K.; Lim, E.J.; Oh, Y.S.; Hwang, S.G.; An, S.; Yoon, G.; Gye, M.C.; Yi, J.M.; et al. Claudin-1 induces epithelial-mesenchymal transition through activation of the c-Abl-ERK signaling pathway in human liver cells. Oncogene 2013, 32, 4873–4882. [Google Scholar] [CrossRef] [Green Version]
  56. Oku, N.; Sasabe, E.; Ueta, E.; Yamamoto, T.; Osaki, T. Tight junction protein claudin-1 enhances the invasive activity of oral squamous cell carcinoma cells by promoting cleavage of laminin-5 gamma2 chain via matrix metalloproteinase (MMP)-2 and membrane-type MMP-1. Cancer Res. 2006, 66, 5251–5257. [Google Scholar] [CrossRef] [Green Version]
  57. Li, J. Context-Dependent Roles of Claudins in Tumorigenesis. Front. Oncol. 2021, 11, 676781. [Google Scholar] [CrossRef]
  58. Leotlela, P.D.; Wade, M.S.; Duray, P.H.; Rhode, M.J.; Brown, H.F.; Rosenthal, D.T.; Dissanayake, S.K.; Earley, R.; Indig, F.E.; Nickoloff, B.J.; et al. Claudin-1 overexpression in melanoma is regulated by PKC and contributes to melanoma cell motility. Oncogene 2007, 26, 3846–3856. [Google Scholar] [CrossRef] [Green Version]
  59. Torres-Martínez, A.C.; Gallardo-Vera, J.F.; Lara-Holguin, A.N.; Montaño, L.F.; Rendón-Huerta, E.P. Claudin-6 enhances cell invasiveness through claudin-1 in AGS human adenocarcinoma gastric cancer cells. Exp. Cell Res. 2017, 350, 226–235. [Google Scholar] [CrossRef]
  60. Ikari, A.; Sato, T.; Takiguchi, A.; Atomi, K.; Yamazaki, Y.; Sugatani, J. Claudin-2 knockdown decreases matrix metalloproteinase-9 activity and cell migration via suppression of nuclear Sp1 in A549 cells. Life Sci. 2011, 88, 628–633. [Google Scholar] [CrossRef]
  61. Kleiner, D.E.; Stetler-Stevenson, W.G. Matrix metalloproteinases and metastasis. Cancer Chemother. Pharmacol. 1999, 43 (Suppl. 1), S42–S51. [Google Scholar] [CrossRef]
  62. Lioni, M.; Brafford, P.; Andl, C.; Rustgi, A.; El-Deiry, W.; Herlyn, M.; Smalley, K.S. Dysregulation of claudin-7 leads to loss of E-cadherin expression and the increased invasion of esophageal squamous cell carcinoma cells. Am. J. Pathol. 2007, 170, 709–721. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Nübel, T.; Preobraschenski, J.; Tuncay, H.; Weiss, T.; Kuhn, S.; Ladwein, M.; Langbein, L.; Zöller, M. Claudin-7 Regulates EpCAM-Mediated Functions in Tumor Progression. Mol. Cancer Res. 2009, 7, 285–299. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Michl, P.; Barth, C.; Buchholz, M.; Lerch, M.M.; Rolke, M.; Holzmann, K.H.; Menke, A.; Fensterer, H.; Giehl, K.; Löhr, M.; et al. Claudin-4 expression decreases invasiveness and metastatic potential of pancreatic cancer. Cancer Res. 2003, 63, 6265–6271. [Google Scholar]
  65. Wang, K.; Li, T.; Xu, C.; Ding, Y.; Li, W.; Ding, L. Claudin-7 downregulation induces metastasis and invasion in colorectal cancer via the promotion of epithelial-mesenchymal transition. Biochem. Biophys. Res. Commun. 2019, 508, 797–804. [Google Scholar] [CrossRef] [PubMed]
  66. Usami, Y.; Chiba, H.; Nakayama, F.; Ueda, J.; Matsuda, Y.; Sawada, N.; Komori, T.; Ito, A.; Yokozaki, H. Reduced expression of claudin-7 correlates with invasion and metastasis in squamous cell carcinoma of the esophagus. Hum. Pathol. 2006, 37, 569–577. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Oshima, T.; Kunisaki, C.; Yoshihara, K.; Yamada, R.; Yamamoto, N.; Sato, T.; Makino, H.; Yamagishi, S.; Nagano, Y.; Fujii, S.; et al. Reduced expression of the claudin-7 gene correlates with venous invasion and liver metastasis in colorectal cancer. Oncol. Rep. 2008, 19, 953–959. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Romani, C.; Zizioli, V.; Silvestri, M.; Ardighieri, L.; Bugatti, M.; Corsini, M.; Todeschini, P.; Marchini, S.; D′Incalci, M.; Zanotti, L.; et al. Low Expression of Claudin-7 as Potential Predictor of Distant Metastases in High-Grade Serous Ovarian Carcinoma Patients. Front. Oncol. 2020, 10, 1287. [Google Scholar] [CrossRef]
  69. Kojima, T.; Takasawa, A.; Kyuno, D.; Ito, T.; Yamaguchi, H.; Hirata, K.; Tsujiwaki, M.; Murata, M.; Tanaka, S.; Sawada, N. Downregulation of tight junction-associated MARVEL protein marvelD3 during epithelial-mesenchymal transition in human pancreatic cancer cells. Exp. Cell Res. 2011, 317, 2288–2298. [Google Scholar] [CrossRef]
  70. Yanmeng, L.; Teng, L.; Donghu, Z.; Jia, W.; Zhenkun, L.; Xiaojin, L.; Siyu, J.; Qin, O.; Saiping, Q.; Zhibin, C.; et al. Role of tight junction-associated MARVEL protein marvelD3 in migration and epithelial–mesenchymal transition of hepatocellular carcinoma. Cell. Adh. Migr. 2021, 15, 249–260. [Google Scholar] [CrossRef]
  71. Steed, E.; Elbediwy, A.; Vacca, B.; Dupasquier, S.; Hemkemeyer, S.A.; Suddason, T.; Costa, A.C.; Beaudry, J.B.; Zihni, C.; Gallagher, E.; et al. MarvelD3 couples tight junctions to the MEKK1-JNK pathway to regulate cell behavior and survival. J. Cell Biol. 2014, 204, 821–838. [Google Scholar] [CrossRef] [Green Version]
  72. Gonzalez, D.M.; Medici, D. Signaling mechanisms of the epithelial-mesenchymal transition. Sci. Signal. 2014, 7, re8. [Google Scholar] [CrossRef]
  73. Gao, J.; Zhu, Y.; Nilsson, M.; Sundfeldt, K. TGF-β isoforms induce EMT independent migration of ovarian cancer cells. Cancer Cell Int. 2014, 14, 72. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Wu, J.; Zhou, X.J.; Sun, X.; Xia, T.S.; Li, X.X.; Shi, L.; Zhu, L.; Zhou, W.B.; Wei, J.F.; Ding, Q. RBM38 is involved in TGF-β-induced epithelial-to-mesenchymal transition by stabilising zonula occludens-1 mRNA in breast cancer. Br. J. Cancer 2017, 117, 675–684. [Google Scholar] [CrossRef] [PubMed]
  75. Yan, L.; Liping, W.; Hairi, L.; Yanru, L.; Yang, R.; Dongjing, L.; Minlan, Y.; Xiangshu, J.; Yantong, G.; Xiaoli, Z.; et al. SMAD2 Inactivation Inhibits CLDN6 Methylation to Suppress Migration and Invasion of Breast Cancer Cells. Int. J. Mol. Sci. 2017, 18, 1863. [Google Scholar] [CrossRef] [Green Version]
  76. Tatti, O.; Vehviläinen, P.; Lehti, K.; Keski-Oja, J. MT1-MMP releases latent TGF-beta1 from endothelial cell extracellular matrix via proteolytic processing of LTBP-1. Exp. Cell Res. 2008, 314, 2501–2514. [Google Scholar] [CrossRef]
  77. Wang, M.; Zhao, D.; Spinetti, G.; Zhang, J.; Jiang, L.-Q.; Pintus, G.; Monticone, R.; Lakatta, E.G. Matrix Metalloproteinase 2 Activation of Transforming Growth Factor-β1 (TGF-β1) and TGF-β1–Type II Receptor Signaling Within the Aged Arterial Wall. Arterioscler. Thromb. Vasc. Biol. 2006, 26, 1503–1509. [Google Scholar] [CrossRef] [Green Version]
  78. Kyuno, D.; Kojima, T.; Yamaguchi, H.; Ito, T.; Kimura, Y.; Imamura, M.; Takasawa, A.; Murata, M.; Tanaka, S.; Hirata, K.; et al. Protein kinase Cα inhibitor protects against downregulation of claudin-1 during epithelial-mesenchymal transition of pancreatic cancer. Carcinogenesis 2013, 34, 1232–1243. [Google Scholar] [CrossRef] [Green Version]
  79. Yu, S.; Zhang, Y.; Li, Q.; Zhang, Z.; Zhao, G.; Xu, J. CLDN6 promotes tumor progression through the YAP1-snail1 axis in gastric cancer. Cell Death Dis. 2019, 10, 949. [Google Scholar] [CrossRef] [Green Version]
  80. Li, C.F.; Chen, J.Y.; Ho, Y.H.; Hsu, W.H.; Wu, L.C.; Lan, H.Y.; Hsu, D.S.; Tai, S.K.; Chang, Y.C.; Yang, M.H. Snail-induced claudin-11 prompts collective migration for tumour progression. Nat. Cell Biol. 2019, 21, 251–262. [Google Scholar] [CrossRef]
  81. Xia, C.; He, G.Z. Knockdown of CLDN6 inhibits cell proliferation and migration via PI3K/AKT/mTOR signaling pathway in endometrial carcinoma cell line HEC-1-B. OncoTargets Ther. 2018, 11, 6351–6360. [Google Scholar]
  82. Tian, Y.; Tian, Y.; Zhang, W.; Wei, F.; Yang, J.; Luo, X.; Zhou, T.; Hou, B.; Qian, S.; Deng, X.; et al. Junctional adhesion molecule-A, an epithelial-mesenchymal transition inducer, correlates with metastasis and poor prognosis in human nasopharyngeal cancer. Carcinogenesis 2015, 36, 41–48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Zhang, X.; Wang, H.; Li, Q.; Li, T. CLDN2 inhibits the metastasis of osteosarcoma cells via down-regulating the afadin/ERK signaling pathway. Cancer Cell Int. 2018, 18, 160. [Google Scholar] [CrossRef] [PubMed]
  84. Lin, X.; Shang, X.; Manorek, G.; Howell, S.B. Regulation of the Epithelial-Mesenchymal Transition by Claudin-3 and Claudin-4. PLoS ONE 2013, 8, e67496. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Lu, Z.; Ding, L.; Hong, H.; Hoggard, J.; Lu, Q.; Chen, Y.H. Claudin-7 inhibits human lung cancer cell migration and invasion through ERK/MAPK signaling pathway. Exp. Cell Res. 2011, 317, 1935–1946. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Shimobaba, S.; Taga, S.; Akizuki, R.; Hichino, A.; Endo, S.; Matsunaga, T.; Watanabe, R.; Yamaguchi, M.; Yamazaki, Y.; Sugatani, J.; et al. Claudin-18 inhibits cell proliferation and motility mediated by inhibition of phosphorylation of PDK1 and Akt in human lung adenocarcinoma A549 cells. Biochim. Biophys. Acta 2016, 1863, 1170–1178. [Google Scholar] [CrossRef]
  87. Ghahhari, N.M.; Babashah, S. Interplay between microRNAs and WNT/β-catenin signalling pathway regulates epithelial-mesenchymal transition in cancer. Eur. J. Cancer 2015, 51, 1638–1649. [Google Scholar] [CrossRef]
  88. Shiou, S.R.; Singh, A.B.; Moorthy, K.; Datta, P.K.; Washington, M.K.; Beauchamp, R.D.; Dhawan, P. Smad4 regulates claudin-1 expression in a transforming growth factor-beta-independent manner in colon cancer cells. Cancer Res. 2007, 67, 1571–1579. [Google Scholar] [CrossRef] [Green Version]
  89. Huang, J.; Li, J.; Qu, Y.; Zhang, J.; Zhang, L.; Chen, X.; Liu, B.; Zhu, Z. The expression of claudin 1 correlates with β-catenin and is a prognostic factor of poor outcome in gastric cancer. Int. J. Oncol. 2014, 44, 1293–1301. [Google Scholar] [CrossRef] [Green Version]
  90. Che, J.; Yue, D.; Zhang, B.; Zhang, H.; Huo, Y.; Gao, L.; Zhen, H.; Yang, Y.; Cao, B. Claudin-3 Inhibits Lung Squamous Cell Carcinoma Cell Epithelial-mesenchymal Transition and Invasion via Suppression of the Wnt/β-catenin Signaling Pathway. Int. J. Med. Sci. 2018, 15, 339. [Google Scholar] [CrossRef] [Green Version]
  91. Shang, X.; Lin, X.; Alvarez, E.; Manorek, G.; Howell, S.B. Tight junction proteins claudin-3 and claudin-4 control tumor growth and metastases. Neoplasia 2012, 14, 974–985. [Google Scholar] [CrossRef] [Green Version]
  92. Ji, H.; Ding, X.; Zhang, W.; Zheng, Y.; Du, H.; Zheng, Y.; Song, H.; Li, M.; Jiang, Y.; Xie, J.; et al. Claudin-7 Inhibits Proliferation and Metastasis in Salivary Adenoid Cystic Carcinoma Through Wnt/β-Catenin Signaling. Cell Transplant. 2020, 29, 3583. [Google Scholar] [CrossRef] [PubMed]
  93. Wendt, M.K.; Balanis, N.; Carlin, C.R.; Schiemann, W.P. STAT3 and epithelial–mesenchymal transitions in carcinomas. JAKSTAT 2014, 3, e28975. [Google Scholar] [CrossRef] [PubMed]
  94. Liu, H.; Wang, M.; Liang, N.; Guan, L. Claudin-9 enhances the metastatic potential of hepatocytes via Tyk2/Stat3 signaling. Turk. J. Gastroenterol. Off. J. Turk. Soc. Gastroenterol. 2019, 30, 722–731. [Google Scholar] [CrossRef] [PubMed]
  95. Sun, L.; Feng, L.; Cui, J. Increased expression of claudin-12 promotes the metastatic phenotype of human bronchial epithelial cells and is associated with poor prognosis in lung squamous cell carcinoma. Exp. Ther. Med. 2019, 17, 165–174. [Google Scholar] [CrossRef]
  96. Yang, Y.; Zheng, H.; Zhan, Y.; Fan, S. An emerging tumor invasion mechanism about the collective cell migration. Am. J. Transl. Res. 2019, 11, 5301–5312. [Google Scholar]
  97. Fortier, A.M.; Asselin, E.; Cadrin, M. Keratin 8 and 18 loss in epithelial cancer cells increases collective cell migration and cisplatin sensitivity through claudin1 up-regulation. J. Biol. Chem. 2013, 288, 11555–11571. [Google Scholar] [CrossRef] [Green Version]
  98. Karagiannis, G.S.; Schaeffer, D.F.; Cho, C.K.; Musrap, N.; Saraon, P.; Batruch, I.; Grin, A.; Mitrovic, B.; Kirsch, R.; Riddell, R.H.; et al. Collective migration of cancer-associated fibroblasts is enhanced by overexpression of tight junction-associated proteins claudin-11 and occludin. Mol. Oncol. 2014, 8, 178–195. [Google Scholar] [CrossRef]
  99. Paquet-Fifield, S.; Koh, S.L.; Cheng, L.; Beyit, L.M.; Shembrey, C.; Mølck, C.; Behrenbruch, C.; Papin, M.; Gironella, M.; Guelfi, S.; et al. Tight Junction Protein Claudin-2 Promotes Self-Renewal of Human Colorectal Cancer Stem-like Cells. Cancer Res. 2018, 78, 2925–2938. [Google Scholar] [CrossRef] [Green Version]
  100. Ayob, A.Z.; Ramasamy, T.S. Cancer stem cells as key drivers of tumour progression. J. Biomed. Sci. 2018, 25, 20. [Google Scholar] [CrossRef] [Green Version]
  101. Gowrikumar, S.; Singh, A.B.; Dhawan, P. Role of Claudin Proteins in Regulating Cancer Stem Cells and Chemoresistance-Potential Implication in Disease Prognosis and Therapy. Int. J. Mol. Sci. 2019, 21, 53. [Google Scholar] [CrossRef] [Green Version]
  102. Liu, T.; Cheng, W.; Lai, D.; Huang, Y.; Guo, L. Characterization of primary ovarian cancer cells in different culture systems. Oncol. Rep. 2010, 23, 1277–1284. [Google Scholar] [CrossRef] [PubMed]
  103. Ma, L.; Yin, W.; Ma, H.; Elshoura, I.; Wang, L. Targeting claudin-3 suppresses stem cell-like phenotype in nonsquamous non-small-cell lung carcinoma. Lung Cancer Manag. 2019, 8, 1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Chen, Y.J.; You, M.L.; Chong, Q.Y.; Pandey, V.; Zhuang, Q.S.; Liu, D.X.; Ma, L.; Zhu, T.; Lobie, P.E. Autocrine Human Growth Hormone Promotes Invasive and Cancer Stem Cell-Like Behavior of Hepatocellular Carcinoma Cells by STAT3 Dependent Inhibition of CLAUDIN-1 Expression. Int. J. Mol. Sci. 2017, 18, 1274. [Google Scholar] [CrossRef] [PubMed]
  105. Yang, L.; Shi, P.; Zhao, G.; Xu, J.; Peng, W.; Zhang, J.; Zhang, G.; Wang, X.; Dong, Z.; Chen, F.; et al. Targeting cancer stem cell pathways for cancer therapy. Signal Transduct. Target. Ther. 2020, 5, 8. [Google Scholar] [CrossRef] [Green Version]
  106. Cochrane, C.R.; Szczepny, A.; Watkins, D.N.; Cain, J.E. Hedgehog Signaling in the Maintenance of Cancer Stem Cells. Cancers 2015, 7, 1554–1585. [Google Scholar] [CrossRef]
  107. Alvarez, J.I.; Dodelet-Devillers, A.; Kebir, H.; Ifergan, I.; Fabre, P.J.; Terouz, S.; Sabbagh, M.; Wosik, K.; Bourbonnière, L.; Bernard, M.; et al. The Hedgehog pathway promotes blood-brain barrier integrity and CNS immune quiescence. Science 2011, 334, 1727–1731. [Google Scholar] [CrossRef] [Green Version]
  108. Batsaikhan, B.-E.; Yoshikawa, K.; Kurita, N.; Iwata, T.; Takasu, C.; Kashihara, H.; Shimada, M. Cyclopamine Decreased the Expression of Sonic Hedgehog and its Downstream Genes in Colon Cancer Stem Cells. Anticancer Res. 2014, 34, 6339–6344. [Google Scholar]
  109. Warrier, S.; Sellinger, C.; Beith, J.M.; Cazet, A.; Swarbrick, A.; O′Toole, H.C. Claudin-1 as a novel transcriptional target of hedgehog signaling and a predictor for outcome in breast cancer. J. Clin. Oncol. 2013, 31, 1053. [Google Scholar] [CrossRef]
  110. Pope, J.L.; Ahmad, R.; Bhat, A.A.; Washington, M.K.; Singh, A.B.; Dhawan, P. Claudin-1 overexpression in intestinal epithelial cells enhances susceptibility to adenamatous polyposis coli-mediated colon tumorigenesis. Mol. Cancer 2014, 13, 167. [Google Scholar] [CrossRef] [Green Version]
  111. Roehlen, N.; Muller, M.; Nehme, Z.; Crouchet, E.; Jühling, F.; Zompo, F.D.; Cherradi, S.; Duong, F.H.T.; Almeida, N.; Saviano, A.; et al. Treatment of HCC with Claudin-1 specific monoclonal antibodies suppresses carcinogenic signalling and reprograms the tumor microenvironment. J. Hepatol. 2022; in press. [Google Scholar] [CrossRef]
  112. Ma, S.-C.; Li, Q.; Peng, J.-Y.; Zhouwen, J.-L.; Diao, J.-F.; Niu, J.-X.; Wang, X.; Guan, X.-D.; Jia, W.; Jiang, W.-G. Claudin-5 regulates blood-brain barrier permeability by modifying brain microvascular endothelial cell proliferation, migration, and adhesion to prevent lung cancer metastasis. CNS Neurosci. Ther. 2017, 23, 947–960. [Google Scholar] [CrossRef] [Green Version]
  113. Philip, R.; Heiler, S.; Mu, W.; Büchler, M.W.; Zöller, M.; Thuma, F. Claudin-7 promotes the epithelial–mesenchymal transition in human colorectal cancer. Oncotarget 2015, 6, 2046–2063. [Google Scholar] [CrossRef] [Green Version]
  114. Matsui, W.H. Cancer stem cell signaling pathways. Medicine 2016, 95 (Suppl. 1), S8–S19. [Google Scholar] [CrossRef]
  115. Qin, W.; Ren, Q.; Liu, T.; Huang, Y.; Wang, J. MicroRNA-155 is a novel suppressor of ovarian cancer-initiating cells that targets CLDN1. FEBS Lett. 2013, 587, 1434–1439. [Google Scholar] [CrossRef]
  116. McSherry, E.A.; McGee, S.F.; Jirstrom, K.; Doyle, E.M.; Brennan, D.J.; Landberg, G.; Dervan, P.A.; Hopkins, A.M.; Gallagher, W.M. JAM-A expression positively correlates with poor prognosis in breast cancer patients. Int. J. Cancer 2009, 125, 1343–1351. [Google Scholar] [CrossRef]
  117. Nito, M.; Takekoshi, S.; Kitatani, K.; Matsuzaki, T.; Yagasaki, H.; Tsuboi, T.; Nakano, K.; Shioyama, K.; Masuda, R.; Iwazaki, M. Par3 and ZO-1 Membrane Clustering is an Indicator of Poor Prognosis in Lung Squamous Cell Carcinoma. Tokai J. Exp. Clin. Med. 2021, 46, 110–117. [Google Scholar]
  118. Sappayatosok, K.; Phattarataratip, E. Overexpression of Claudin-1 Is Associated with Poor Prognosis of Oral Squamous Cell Carcinoma. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. 2015, 119, E167. [Google Scholar] [CrossRef]
  119. Sun, B.S.; Yao, Y.Q.; Pei, B.X.; Zhang, Z.F.; Wang, C.L. Claudin-1 correlates with poor prognosis in lung adenocarcinoma. Thorac. Cancer 2016, 7, 556–563. [Google Scholar] [CrossRef] [Green Version]
  120. Liu, J.-X.; Wei, Z.-Y.; Chen, J.-S.; Lu, H.-C.; Hao, L.; Li, W.-J. Prognostic and clinical significance of claudin-4 in gastric cancer: A meta-analysis. World J. Surg. Oncol. 2015, 13, 207. [Google Scholar] [CrossRef] [Green Version]
  121. Lanigan, F.; McKiernan, E.; Brennan, D.J.; Hegarty, S.; Millikan, R.C.; McBryan, J.; Jirstrom, K.; Landberg, G.; Martin, F.; Duffy, M.J.; et al. Increased claudin-4 expression is associated with poor prognosis and high tumour grade in breast cancer. Int. J. Cancer 2009, 124, 2088–2097. [Google Scholar] [CrossRef]
  122. Jun, K.H.; Kim, J.H.; Jung, J.H.; Choi, H.J.; Chin, H.M. Expression of claudin-7 and loss of claudin-18 correlate with poor prognosis in gastric cancer. Int. J. Surg. 2014, 12, 156–162. [Google Scholar] [CrossRef] [Green Version]
  123. Zhao, Z.; Li, J.; Jiang, Y.; Xu, W.; Li, X.; Jing, W. CLDN1 Increases Drug Resistance of Non-Small Cell Lung Cancer by Activating Autophagy via Up-Regulation of ULK1 Phosphorylation. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2017, 23, 2906–2916. [Google Scholar] [CrossRef] [Green Version]
  124. Akizuki, R.; Maruhashi, R.; Eguchi, H.; Kitabatake, K.; Tsukimoto, M.; Furuta, T.; Matsunaga, T.; Endo, S.; Ikari, A. Decrease in paracellular permeability and chemosensitivity to doxorubicin by claudin-1 in spheroid culture models of human lung adenocarcinoma A549 cells. Biochim. Biophys. Acta. Mol. Cell Res. 2018, 1865, 769–780. [Google Scholar] [CrossRef]
  125. Yoshida, H.; Sumi, T.; Zhi, X.; Yasui, T.; Honda, K.; Ishiko, O. Claudin-4: A potential therapeutic target in chemotherapy-resistant ovarian cancer. Anticancer. Res. 2011, 31, 1271–1277. [Google Scholar]
  126. Visco, Z.R.; Sfakianos, G.; Grenier, C.; Boudreau, M.-H.; Simpson, S.; Rodriguez, I.; Whitaker, R.; Yao, D.Y.; Berchuck, A.; Murphy, S.K.; et al. Epigenetic Regulation of Claudin-1 in the Development of Ovarian Cancer Recurrence and Drug Resistance. Front. Oncol. 2021, 11, 620873. [Google Scholar] [CrossRef]
  127. Breed, C.; Hicks, D.A.; Webb, P.G.; Galimanis, C.E.; Bitler, B.G.; Behbakht, K.; Baumgartner, H.K. Ovarian Tumor Cell Expression of Claudin-4 Reduces Apoptotic Response to Paclitaxel. Mol. Cancer Res. MCR 2019, 17, 741–750. [Google Scholar] [CrossRef]
  128. Kimbung, S.; Kovács, A.; Bendahl, P.O.; Malmström, P.; Fernö, M.; Hatschek, T.; Hedenfalk, I. Claudin-2 is an independent negative prognostic factor in breast cancer and specifically predicts early liver recurrences. Mol. Oncol. 2014, 8, 119–128. [Google Scholar] [CrossRef]
  129. Sugimoto, H.; Nagahara, M.; Bae, Y.; Nakagawa, T.; Ishikawa, T.; Sato, T.; Uetake, H.; Eishi, Y.; Sugihara, K. Clinicopathologic Relevance of Claudin 5 Expression in Breast Cancer. Am. J. Clin. Pathol. 2015, 143, 540–546. [Google Scholar] [CrossRef] [Green Version]
  130. Mezheyeuski, A.; Strell, C.; Hrynchyk, I.; Guren, T.K.; Dragomir, A.; Doroshenko, T.; Pashkova, O.; Gorgun, J.; Ruksha, K.; Pfeiffer, P.; et al. Treatment-related survival associations of claudin-2 expression in fibroblasts of colorectal cancer. Virchows Arch. Int. J. Pathol. 2018, 472, 395–405. [Google Scholar] [CrossRef] [Green Version]
  131. Jääskeläinen, A.; Soini, Y.; Jukkola-Vuorinen, A.; Auvinen, P.; Haapasaari, K.-M.; Karihtala, P. High-level cytoplasmic claudin 3 expression is an independent predictor of poor survival in triple-negative breast cancer. BMC Cancer 2018, 18, 223. [Google Scholar] [CrossRef] [Green Version]
  132. Cheung, S.T.; Leung, K.L.; Ip, Y.C.; Chen, X.; Fong, D.Y.; Ng, I.O.; Fan, S.T.; So, S. Claudin-10 expression level is associated with recurrence of primary hepatocellular carcinoma. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2005, 11 Pt 1, 551–556. [Google Scholar] [CrossRef]
  133. Fritzsche, F.R.; Oelrich, B.; Johannsen, M.; Kristiansen, I.; Moch, H.; Jung, K.; Kristiansen, G. Claudin-1 protein expression is a prognostic marker of patient survival in renal cell carcinomas. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2008, 14, 7035–7042. [Google Scholar] [CrossRef] [Green Version]
  134. Hanahan, D. Hallmarks of Cancer: New Dimensions. Cancer Discov. 2022, 12, 31–46. [Google Scholar] [CrossRef]
  135. Wajed, S.A.; Laird, P.W.; DeMeester, T.R. DNA methylation: An alternative pathway to cancer. Ann. Surg. 2001, 234, 10–20. [Google Scholar] [CrossRef]
  136. Zhou, D.; Tang, W.; Zhang, Y.; An, H.-X. JAM3 functions as a novel tumor suppressor and is inactivated by DNA methylation in colorectal cancer. Cancer Manag. Res. 2019, 11, 2457–2470. [Google Scholar] [CrossRef] [Green Version]
  137. Agarwal, R.; Mori, Y.; Cheng, Y.; Jin, Z.; Olaru, A.V.; Hamilton, J.P.; David, S.; Selaru, F.M.; Yang, J.; Abraham, J.M.; et al. Silencing of claudin-11 is associated with increased invasiveness of gastric cancer cells. PLoS ONE 2009, 4, e8002. [Google Scholar] [CrossRef]
  138. Jiang, L.; Yang, Y.D.; Fu, L.; Xu, W.; Liu, D.; Liang, Q.; Zhang, X.; Xu, L.; Guan, X.Y.; Wu, B.; et al. CLDN3 inhibits cancer aggressiveness via Wnt-EMT signaling and is a potential prognostic biomarker for hepatocellular carcinoma. Oncotarget 2014, 5, 7663–7676. [Google Scholar] [CrossRef] [Green Version]
  139. Zhang, Z.; Yu, W.; Chen, S.; Chen, Y.; Zhang, S. Methylation of the claudin-3 promoter predicts the prognosis of advanced gastric adenocarcinoma. Oncol. Rep. 2018, 40, 49–60. [Google Scholar] [CrossRef] [Green Version]
  140. Walesch, S.K.; Richter, A.M.; Helmbold, P.; Dammann, R.H. Claudin11 Promoter Hypermethylation Is Frequent in Malignant Melanoma of the Skin, but Uncommon in Nevus Cell Nevi. Cancers 2015, 7, 1233–1243. [Google Scholar] [CrossRef]
  141. Kwon, M.J.; Kim, S.-H.; Jeong, H.M.; Jung, H.S.; Kim, S.-S.; Lee, J.E.; Gye, M.C.; Erkin, Ö.C.; Koh, S.S.; Choi, Y.-L.; et al. Claudin-4 overexpression is associated with epigenetic derepression in gastric carcinoma. Lab. Investig. 2011, 91, 1652–1667. [Google Scholar] [CrossRef] [Green Version]
  142. Sato, N.; Fukushima, N.; Maitra, A.; Matsubayashi, H.; Yeo, C.J.; Cameron, J.L.; Hruban, R.H.; Goggins, M. Discovery of novel targets for aberrant methylation in pancreatic carcinoma using high-throughput microarrays. Cancer Res. 2003, 63, 3735–3742. [Google Scholar] [PubMed]
  143. Liu, Y.; Jin, X.; Li, Y.; Ruan, Y.; Lu, Y.; Yang, M.; Lin, D.; Song, P.; Guo, Y.; Zhao, S.; et al. DNA methylation of claudin-6 promotes breast cancer cell migration and invasion by recruiting MeCP2 and deacetylating H3Ac and H4Ac. J. Exp. Clin. Cancer Res. 2016, 35, 120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Tsunoda, S.; Smith, E.; De Young, N.J.; Wang, X.; Tian, Z.Q.; Liu, J.F.; Jamieson, G.G.; Drew, P.A. Methylation of CLDN6, FBN2, RBP1, RBP4, TFPI2, and TMEFF2 in esophageal squamous cell carcinoma. Oncol. Rep. 2009, 21, 1067–1073. [Google Scholar] [CrossRef] [PubMed]
  145. Kominsky, S.L.; Argani, P.; Korz, D.; Evron, E.; Raman, V.; Garrett, E.; Rein, A.; Sauter, G.; Kallioniemi, O.P.; Sukumar, S. Loss of the tight junction protein claudin-7 correlates with histological grade in both ductal carcinoma in situ and invasive ductal carcinoma of the breast. Oncogene 2003, 22, 2021–2033. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Nakayama, F.; Semba, S.; Usami, Y.; Chiba, H.; Sawada, N.; Yokozaki, H. Hypermethylation-Modulated Downregulation of Claudin-7 Expression Promotes the Progression of Colorectal Carcinoma. Pathobiology 2008, 75, 177–185. [Google Scholar] [CrossRef] [Green Version]
  147. Boireau, S.; Buchert, M.; Samuel, M.S.; Pannequin, J.; Ryan, J.L.; Choquet, A.; Chapuis, H.; Rebillard, X.; Avancès, C.; Ernst, M.; et al. DNA-methylation-dependent alterations of claudin-4 expression in human bladder carcinoma. Carcinogenesis 2007, 28, 246–258. [Google Scholar] [CrossRef]
  148. Di Cello, F.; Cope, L.; Li, H.; Jeschke, J.; Wang, W.; Baylin, S.B.; Zahnow, C.A. Methylation of the claudin 1 promoter is associated with loss of expression in estrogen receptor positive breast cancer. PLoS ONE 2013, 8, e68630. [Google Scholar] [CrossRef] [Green Version]
  149. Resnick, M.B.; Konkin, T.; Routhier, J.; Sabo, E.; Pricolo, V.E. Claudin-1 is a strong prognostic indicator in stage II colonic cancer: A tissue microarray study. Mod. Pathol. Off. J. United States Can. Acad. Pathol. Inc. 2005, 18, 511–518. [Google Scholar] [CrossRef] [Green Version]
  150. Lu, S.; Singh, K.; Mangray, S.; Tavares, R.; Noble, L.; Resnick, M.B.; Yakirevich, E. Claudin expression in high-grade invasive ductal carcinoma of the breast: Correlation with the molecular subtype. Mod. Pathol. Off. J. U. S. Can. Acad. Pathol. Inc. 2013, 26, 485–495. [Google Scholar] [CrossRef] [Green Version]
  151. Arzate-Mejía, R.G.; Valle-García, D.; Recillas-Targa, F. Signaling epigenetics: Novel insights on cell signaling and epigenetic regulation. IUBMB Life 2011, 63, 881–895. [Google Scholar] [CrossRef] [PubMed]
  152. Akimoto, T.; Takasawa, A.; Takasawa, K.; Aoyama, T.; Murata, M.; Osanai, M.; Saito, T.; Sawada, N. Estrogen/GPR30 Signaling Contributes to the Malignant Potentials of ER-Negative Cervical Adenocarcinoma via Regulation of Claudin-1 Expression. Neoplasia 2018, 20, 1083–1093. [Google Scholar] [CrossRef] [PubMed]
  153. Roehlen, N.; Suarez, A.; Roca, A.; El Saghire, H.; Saviano, A.; Schuster, C.; Lupberger, J.; Baumert, T.F. Tight Junction Proteins and the Biology of Hepatobiliary Disease. Int. J. Mol. Sci. 2020, 21, 825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Evans, M.J.; von Hahn, T.; Tscherne, D.M.; Syder, A.J.; Panis, M.; Wölk, B.; Hatziioannou, T.; McKeating, J.A.; Bieniasz, P.D.; Rice, C.M. Claudin-1 is a hepatitis C virus co-receptor required for a late step in entry. Nature 2007, 446, 801–805. [Google Scholar] [CrossRef] [PubMed]
  155. Colpitts, C.C.; Tawar, R.G.; Mailly, L.; Thumann, C.; Heydmann, L.; Durand, S.C.; Xiao, F.; Robinet, E.; Pessaux, P.; Zeisel, M.B.; et al. Humanisation of a claudin-1-specific monoclonal antibody for clinical prevention and cure of HCV infection without escape. Gut 2018, 67, 736–745. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  156. Muller, M.; Nehme, Z.; Röhlen, N.; Jühling, F.; Crouchet, E.; Pessaux, P.; Felli, E.; Goyal, L.; Meyer, M.; Iacone, R.; et al. Treatment of Cholangiocarcinoma with a Humanized Anti-Claudin-1 Monoclonal Antibody. In Proceedings of the AASLD “The Liver Meeting”, Boston, MA, USA, 4–8 November 2022. [Google Scholar]
  157. Roehlen, N.; Saviano, A.; El Saghire, H.; Crouchet, E.; Nehme, Z.; Del Zompo, F.; Jühling, F.; Oudot, M.A.; Durand, S.C.; Duong, F.H.T.; et al. A monoclonal antibody targeting nonjunctional claudin-1 inhibits fibrosis in patient-derived models by modulating cell plasticity. Sci. Transl. Med. 2022, 14, abj4221. [Google Scholar] [CrossRef]
  158. El-Balat, A.; Schmeil, I.; Gasimli, K.; Sänger, N.; Karn, T.; Ahr, A.; Becker, S.; Arsenic, R.; Holtrich, U.; Engels, K. Claudin-1 is linked to presence of implants and micropapillary pattern in serous borderline epithelial tumours of the ovary. J. Clin. Pathol. 2018, 71, 1060–1064. [Google Scholar] [CrossRef]
  159. Nelhűbel, G.A.; Károly, B.; Szabó, B.; Lotz, G.; Kiss, A.; Tóvári, J.; Kenessey, I. The prognostic role of claudins in head and neck squamous cell carcinomas. Pathol. Oncol. Res. POR 2014, 20, 99–106. [Google Scholar] [CrossRef]
  160. Hashimoto, Y.; Hata, T.; Tada, M.; Iida, M.; Watari, A.; Okada, Y.; Doi, T.; Kuniyasu, H.; Yagi, K.; Kondoh, M. Safety evaluation of a human chimeric monoclonal antibody that recognizes the extracellular loop domain of claudin-2. Eur. J. Pharm. Sci. 2018, 117, 161–167. [Google Scholar] [CrossRef]
  161. Fujiwara-Tani, R.; Sasaki, T.; Luo, Y.; Goto, K.; Kawahara, I.; Nishiguchi, Y.; Kishi, S.; Mori, S.; Ohmori, H.; Kondoh, M.; et al. Anti-claudin-4 extracellular domain antibody enhances the antitumoral effects of chemotherapeutic and antibody drugs in colorectal cancer. Oncotarget 2018, 9, 37367–37378. [Google Scholar] [CrossRef] [Green Version]
  162. Suzuki, M.; Kato-Nakano, M.; Kawamoto, S.; Furuya, A.; Abe, Y.; Misaka, H.; Kimoto, N.; Nakamura, K.; Ohta, S.; Ando, H. Therapeutic antitumor efficacy of monoclonal antibody against Claudin-4 for pancreatic and ovarian cancers. Cancer Sci. 2009, 100, 1623–1630. [Google Scholar] [CrossRef]
  163. Kato-Nakano, M.; Suzuki, M.; Kawamoto, S.; Furuya, A.; Ohta, S.; Nakamura, K.; Ando, H. Characterization and evaluation of the antitumour activity of a dual-targeting monoclonal antibody against claudin-3 and claudin-4. Anticancer. Res. 2010, 30, 4555–4562. [Google Scholar] [PubMed]
  164. Sahin, U.; Jaeger, D.; Marme, F.; Mavratzas, A.; Krauss, J.; Greve, J.D.; Vergote, I.; Tureci, O. First-in-human phase I/II dose-escalation study of IMAB027 in patients with recurrent advanced ovarian cancer (OVAR): Preliminary data of phase I part. J. Clin. Oncol. 2015, 33, 5537. [Google Scholar] [CrossRef]
  165. Adra, N.; Vaughn, D.J.; Einhorn, L.; Hanna, N.H.; Rosales, M.; Arozullah, A.; Feldman, D.R. A phase II study assessing the safety and efficacy of ASP1650 in male patients with incurable platinum refractory germ cell tumors. J. Clin. Oncol. 2020, 38, TPS424. [Google Scholar] [CrossRef]
  166. Zhang, J.; Dong, R.; Shen, L. Evaluation and reflection on claudin 18.2 targeting therapy in advanced gastric cancer. Chin. J. Cancer Res. 2020, 32, 263–270. [Google Scholar] [CrossRef]
  167. Lei, M.; Przybyla, A.; Hassan, A.; Su, Q.; Hrebikova, G.; Wallner, S.; Lavery, D.; Chen, K.; Yu, R.; Dewe, J.; et al. Abstract 5195: NBL-015, a next-generation fully human anti-claudin 18.2 antibody with enhanced ADCC and CDC for treating gastric and pancreatic cancers. Cancer Res. 2020, 80, 5195. [Google Scholar] [CrossRef]
  168. Long, J.; Feng, G. I-Mab Receives FDA Orphan Drug Designation for its Novel Claudin 18.2 x 4-1BB Bispecific Antibody TJ-CD4B for the Treatment of Gastric Cancer. I-Mab, 3 March 2022. Available online: https://www.prnewswire.com/news-releases/i-mab-receives-fda-orphan-drug-designation-for-its-novel-claudin-18-2-x-4-1bb-bispecific-antibody-tj-cd4b-for-the-treatment-of-gastric-cancer-301495006.html(accessed on 16 June 2022).
  169. Doñate, C.; Vijaya Kumar, A.; Imhof, B.A.; Matthes, T. Anti-JAM-C therapy eliminates tumor engraftment in a xenograft model of mantle cell lymphoma. J. Leukoc. Biol. 2016, 100, 843–853. [Google Scholar] [CrossRef] [PubMed]
  170. Goetsch, L.; Haeuw, J.F.; Beau-Larvor, C.; Gonzalez, A.; Zanna, L.; Malissard, M.; Lepecquet, A.M.; Robert, A.; Bailly, C.; Broussas, M.; et al. A novel role for junctional adhesion molecule-A in tumor proliferation: Modulation by an anti-JAM-A monoclonal antibody. Int. J. Cancer 2013, 132, 1463–1474. [Google Scholar] [CrossRef]
  171. Adra, N.; Vaughn, D.J.; Einhorn, L.H.; Hanna, N.H.; Funt, S.A.; Rosales, M.; Arozullah, A.; Feldman, D.R. A phase II study assessing the safety and efficacy of ASP1650 in male patients with relapsed refractory germ cell tumors. Investig. New Drugs 2022, 40, 1087–1094. [Google Scholar] [CrossRef]
  172. Haanen, J.B.A.G.; Mackensen, A.; Koenecke, C.; Alsdorf, W.; Desuki, A.; Wagner-Drouet, E.; Heudobler, D.; Borchmann, P.; Wiegert, E.; Schulz, C.; et al. 958 BNT211: A phase I/II trial to evaluate safety and efficacy of CLDN6 CAR-T cells and vaccine-mediated in vivo expansion in patients with CLDN6-positive advanced solid tumors. Ann. Oncol. 2021, 32 (Suppl. 7), S1392–S1397.10.1016. [Google Scholar] [CrossRef]
  173. Astellas Pharma Inc. Astellas Announces Zolbetuximab Meets Primary Endpoint in Phase 3 SPOTLIGHT Trial as First-Line Treatment in Claudin 18.2 Positive, HER2-Negative Locally Advanced or Metastatic Gastric and Gastroesophageal Junction (GEJ) Cancers. News release. Astellas Pharma Inc.: Tokyo, Japan, 15 December 2022. [Google Scholar]
  174. Saeki, R.; Kondoh, M.; Kakutani, H.; Tsunoda, S.-i.; Mochizuki, Y.; Hamakubo, T.; Tsutsumi, Y.; Horiguchi, Y.; Kiyohito, Y. A Novel Tumor-Targeted Therapy Using a Claudin-4-Targeting Molecule. Mol. Pharmacol. 2009, 76, 918–926. [Google Scholar] [CrossRef] [Green Version]
  175. Yuan, X.; Lin, X.; Manorek, G.; Kanatani, I.; Cheung, L.H.; Rosenblum, M.G.; Howell, S.B. Recombinant CPE fused to tumor necrosis factor targets human ovarian cancer cells expressing the claudin-3 and claudin-4 receptors. Mol. Cancer Ther. 2009, 8, 1906–1915. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  176. Pahle, J.; Menzel, L.; Niesler, N.; Kobelt, D.; Aumann, J.; Rivera, M.; Walther, W. Rapid eradication of colon carcinoma by Clostridium perfringens Enterotoxin suicidal gene therapy. BMC Cancer 2017, 17, 129. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  177. Gao, Z.; McClane, B.A. Use of Clostridium perfringens Enterotoxin and the Enterotoxin Receptor-Binding Domain (C-CPE) for Cancer Treatment: Opportunities and Challenges. J. Toxicol. 2012, 2012, 981626. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  178. Schneider, I.C.; Hartmann, J.; Braun, G.; Stitz, J.; Klamp, T.; Bihi, M.; Sahin, U.; Buchholz, C.J. Displaying Tetra-Membrane Spanning Claudins on Enveloped Virus-Like Particles for Cancer Immunotherapy. Biotechnol. J. 2018, 13, 1700345. [Google Scholar] [CrossRef] [PubMed]
  179. Hutzler, S.; Erbar, S.; Jabulowsky, R.A.; Hanauer, J.R.H.; Schnotz, J.H.; Beissert, T.; Bodmer, B.S.; Eberle, R.; Boller, K.; Klamp, T.; et al. Antigen-specific oncolytic MV-based tumor vaccines through presentation of selected tumor-associated antigens on infected cells or virus-like particles. Sci. Rep. 2017, 7, 16892. [Google Scholar] [CrossRef]
Figure 1. Examples of upregulation of tight junction protein expression in various tumor types. CLDN: claudin; JAM: junction adhesion molecule.
Figure 1. Examples of upregulation of tight junction protein expression in various tumor types. CLDN: claudin; JAM: junction adhesion molecule.
Cells 12 00243 g001
Figure 2. Schematic representation of examples of mechanisms mediated by members of the tight junction protein family during carcinogenesis. (a) Tight junction proteins are identified as potential mediators of apoptosis/anikiosis resistance. This is mainly mediated through the upregulation of caspase-3, PARP and Bcl-2, in parallel to the modulation of Src and Akt phosphorylation, coupled to β-catenin overexpression. (b) Tight junction proteins are also potential mediators of cancer stem-like phenotype acquisition, where they contribute to self-renewal and dedifferentiation, as well as therapeutic resistance and poor prognosis. In this setting, CLDN1 overexpression increases Notch signaling (b1), in parallel to the induction of MMP-9 expression and p-ERK signaling (b2), as well as through its non-canonical role in regulating Notch/PI3K/Wnt/β-cateninSer552 signaling. (c) Beside stemness, tight junction proteins are crucial regulators of cell migration and plasticity, where they activate key signaling pathways related to epithelial-to-mesenchymal transition (EMT). Indeed, CLDN1 was described to promote mesenchymal transformation by upregulating Slug and Zeb1 through the activation of the c-Abl-Ras-Raf-1-ERK1/2 signaling axis (c1). CLDN6 was also described to promote EMT by increasing YAP1 nuclear translocation and enhancing its interaction with Snail1 (c2), as well as through the activation of the PI3K/Akt pathway, along with JAM-A. MarvelD3 has been suggested to regulate migration through the JNK pathway (c3), and CLDN9 was shown to promote invasive cellular behavior by activating the Tyk2/STAT3 signaling pathway (c4). TJ proteins were also described to promote collective cell migration (c5). ALDH: aldehyde dehydrogenase; CLDN: claudin; JAM: junction adhesion molecule; NCID: Notch intracellular domain; PARP: poly (ADP-ribose) polymerase; TNF-α: tumor necrosis factor-alpha.
Figure 2. Schematic representation of examples of mechanisms mediated by members of the tight junction protein family during carcinogenesis. (a) Tight junction proteins are identified as potential mediators of apoptosis/anikiosis resistance. This is mainly mediated through the upregulation of caspase-3, PARP and Bcl-2, in parallel to the modulation of Src and Akt phosphorylation, coupled to β-catenin overexpression. (b) Tight junction proteins are also potential mediators of cancer stem-like phenotype acquisition, where they contribute to self-renewal and dedifferentiation, as well as therapeutic resistance and poor prognosis. In this setting, CLDN1 overexpression increases Notch signaling (b1), in parallel to the induction of MMP-9 expression and p-ERK signaling (b2), as well as through its non-canonical role in regulating Notch/PI3K/Wnt/β-cateninSer552 signaling. (c) Beside stemness, tight junction proteins are crucial regulators of cell migration and plasticity, where they activate key signaling pathways related to epithelial-to-mesenchymal transition (EMT). Indeed, CLDN1 was described to promote mesenchymal transformation by upregulating Slug and Zeb1 through the activation of the c-Abl-Ras-Raf-1-ERK1/2 signaling axis (c1). CLDN6 was also described to promote EMT by increasing YAP1 nuclear translocation and enhancing its interaction with Snail1 (c2), as well as through the activation of the PI3K/Akt pathway, along with JAM-A. MarvelD3 has been suggested to regulate migration through the JNK pathway (c3), and CLDN9 was shown to promote invasive cellular behavior by activating the Tyk2/STAT3 signaling pathway (c4). TJ proteins were also described to promote collective cell migration (c5). ALDH: aldehyde dehydrogenase; CLDN: claudin; JAM: junction adhesion molecule; NCID: Notch intracellular domain; PARP: poly (ADP-ribose) polymerase; TNF-α: tumor necrosis factor-alpha.
Cells 12 00243 g002
Table 1. Anti-CLDN antibodies and their therapeutic effects in clinical trials.
Table 1. Anti-CLDN antibodies and their therapeutic effects in clinical trials.
AntibodyTargetClinical Trial ResultsReferences
IMAB027
(ASP1650)
Extracellular loop 2 of CLDN6Safe and well tolerated in women with recurrent advanced ovarian cancer; well tolerated but lacked efficacy in male patients with relapsed refractory germ cell tumors[164,165,171]
BNT211CLDN6Multi-center open-label trial demonstrated a favorable safety profile at the doses tested with encouraging signs of efficacy[172]
IMAB362
(claudiximab; zolbetuximab)
CLDN18.2
(mouse–human chimeric IgG1 antibody)
-
Multiple open-label phase II clinical trials demonstrated inhibition of tumor growth by IMAB362 monotherapy or combination therapy in gastro-esophageal cancer. Multiple other phase II and III trials are ongoing
-
Phase III clinical trial demonstrated significant progression-free survival in locally advanced unresectable or metastatic gastric or gastroesophageal junction adenocarcinoma
[166,173]
NBL-015CLDN18.2
(humanized antibody)
Open-label, multi-center, dose-escalation phase I clinical study in patients with advanced solid tumors started in 2021[167]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Nehme, Z.; Roehlen, N.; Dhawan, P.; Baumert, T.F. Tight Junction Protein Signaling and Cancer Biology. Cells 2023, 12, 243. https://doi.org/10.3390/cells12020243

AMA Style

Nehme Z, Roehlen N, Dhawan P, Baumert TF. Tight Junction Protein Signaling and Cancer Biology. Cells. 2023; 12(2):243. https://doi.org/10.3390/cells12020243

Chicago/Turabian Style

Nehme, Zeina, Natascha Roehlen, Punita Dhawan, and Thomas F. Baumert. 2023. "Tight Junction Protein Signaling and Cancer Biology" Cells 12, no. 2: 243. https://doi.org/10.3390/cells12020243

APA Style

Nehme, Z., Roehlen, N., Dhawan, P., & Baumert, T. F. (2023). Tight Junction Protein Signaling and Cancer Biology. Cells, 12(2), 243. https://doi.org/10.3390/cells12020243

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