Next Article in Journal
Galectins in Glioma: Current Roles in Cancer Progression and Future Directions for Improving Treatment
Next Article in Special Issue
The EGF Domains of MUC4 Oncomucin Mediate HER2 Binding Affinity and Promote Pancreatic Cancer Cell Tumorigenesis
Previous Article in Journal
PI3Kδ Inhibitors as Immunomodulatory Agents for the Treatment of Lymphoma Patients
Previous Article in Special Issue
Cyclin Dependent Kinase-1 (CDK-1) Inhibition as a Novel Therapeutic Strategy against Pancreatic Ductal Adenocarcinoma (PDAC)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Epithelial to Mesenchymal Transition: Key Regulator of Pancreatic Ductal Adenocarcinoma Progression and Chemoresistance

by
Kostas Palamaris
1,
Evangelos Felekouras
2 and
Stratigoula Sakellariou
1,*
1
1ST Department of Pathology, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
2
1ST Department of Surgery, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
*
Author to whom correspondence should be addressed.
Cancers 2021, 13(21), 5532; https://doi.org/10.3390/cancers13215532
Submission received: 30 September 2021 / Revised: 31 October 2021 / Accepted: 1 November 2021 / Published: 4 November 2021

Abstract

:

Simple Summary

Pancreatic ductal adenocarcinoma’s (PDAC) dismal prognosis is associated with its aggressive biological behavior and resistance to chemotherapy. Epithelial to mesenchymal transition (EMT) has been recognized as a key driver of PDAC progression and development of drug resistance. EMT is a transient and reversible process leading to transdifferentiation of epithelial cells into a more mesenchymal phenotype. It is regulated by multiple signaling pathways that control the activity of a transcription factors network. Activation of EMT in pre-invasive stages of PDAC has been accused for early dissemination. Furthermore, it contributes to the development of intratumoral heterogeneity and drug resistance. This review summarizes the available data regarding signaling networks regulating EMT and describes the integral role of EMT in different aspects of PDAC pathogenesis.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies, characterized by aggressive biological behavior and a lack of response to currently available chemotherapy. Emerging evidence has identified epithelial to mesenchymal transition (EMT) as a key driver of PDAC progression and a central regulator in the development of drug resistance. EMT is a reversible transdifferentiation process controlled by complex interactions between multiple signaling pathways such as TGFb, Wnt, and Notch, which converge to a network of specific transcription factors. Activation of EMT transcriptional reprogramming converts cancer cells of epithelial differentiation into a more mesenchymal phenotypic state. EMT occurrence in pre-invasive pancreatic lesions has been implicated in early PDAC dissemination. Moreover, cancer cell phenotypic plasticity driven by EMT contributes to intratumoral heterogeneity and drug tolerance and is mechanistically associated with the emergence of cells exhibiting cancer stem cells (CSCs) phenotype. In this review we summarize the available data on the signaling cascades regulating EMT and the molecular isnteractions between pancreatic cancer and stromal cells that activate them. In addition, we provide a link between EMT, tumor progression, and chemoresistance in PDAC.

1. Introduction

Pancreatic cancer, one of the deadliest solid malignancies, was the seventh leading cause of cancer related deaths worldwide in 2020 [1] and has the lowest 5-year survival rate (about 9%) compared to any other cancer subtype [2,3]. Pancreatic ductal adenocarcinoma, which comprises about 90% of pancreatic cancer cases [4], is characterized by aggressive biological behavior and an enhanced invasive and metastatic potential. Its rapid progression, in addition to the lack of early clinical manifestations, leads to the diagnosis of the majority of cases (about 80%) at an advanced stage, when the available therapeutic options, such as surgical resection and chemotherapy, offer no significant survival benefit [5,6,7,8]. Lack of response to the most commonly used chemotherapeutic regimens, including FOLFIRINOX and gemcitabine-paclitaxel, is suggested to be mediated by both cancer-cell intrinsic [9,10] and tumor microenvironment (TME)-dependent mechanisms [11,12,13,14].
In the last few years, large scale genomic and transcriptomic studies in human PDAC samples, as well as in vivo experimental studies in genetically engineered mouse models, have led to the characterization of the main genetic alterations associated with PDAC and to a better understanding of the evolutionary trajectory of the disease progression. Carcinogenesis of PDAC is driven by progressive accumulation of mutations in multiple genes, among which the most important are the oncogene KRAS and the tumor suppressor genes p53, CDKN2A, and SMAD4 [15,16]. These genetic perturbations are accompanied by specific morphological changes that represent different stages of tumor progression. In the majority of cases, the first step of those changes is believed to be a process of acinar-to-ductal metaplasia (ADM), during which acinar/centroacinar cells transdifferentiate into duct-like cells [17,18,19]. This transdifferentiation process is followed by the formation of precursor lesions, termed as Pancreatic Intraepithelial Neoplasia (PanIN), with increasing histologic grades of dysplasia, comprising cuboidal to columnar epithelial cells with aggravation in cellular atypia and architectural distortion (Figure 1). The next step of high grade PanIN is the development of invasive carcinoma [20,21]. Signature genetic alterations occurring in the PDAC tumorigenesis process that drive progression of pre-invasive lesions (ADM, low grade-PanIN, high grade-PanIN) to invasive disease are depicted in Table 1. This progression from normal histology to pre-invasive lesions and invasive tumors is accompanied by the formation of a desmoplastic and fibroinflammatory microenvironment, characterized by the recruitment of heterogenous stromal and immune cells and the production of a dense extracellular matrix [22,23,24]. Even though accumulated knowledge has provided valuable insight into the molecular changes that promote PDAC evolution, they have failed to translate into new targeted therapeutic options for patients.
There is increasing evidence that epithelial to mesenchymal transition (EMT) plays a pivotal role in PDAC evolution. The present review summarizes current knowledge on the signaling cascades regulating EMT and the molecular interactions between pancreatic cancer and stromal cells. In addition, we provide a link between EMT, tumor progression, and chemoresistance in PDAC.

2. Epithelial to Mesenchymal Transition and Cancer

EMT is a transient and reversible transdifferentiation program, activated during embryonic development, tissue repair, and tumorigenesis [25,26,27,28]. It involves multiple genetic and epigenetic alterations that occur in a stepwise manner and lead to the generation of cells in intermediate states along the epithelial to mesenchymal axis. This change of cell phenotype is regulated by a network of specific transcription factors (EMT-TFs), including Slug, Snail, Twist, and Zeb, which act pleiotropically on a number of genes controlling different aspects of cellular physiology in order to progressively repress epithelial features and activate mesenchymal ones. Key molecular switches induced by the EMT transcriptional program include: cytoskeletal remodeling through replacement of epithelial cytokeratins by mesenchymal intermediate filament vimentin, loosening of intercellular junctions between adjacent cells through partial repression of E-cadherin and activation of N-cadherin, and elevated expression of matrix-metalloproteinases. This widespread reprogramming of the gene expression profile encompasses alterations in multiple phenotypic features of epithelial cells, such as changes in cell morphology, from squamous, cuboidal, or columnar shapes to spindle-like forms; displaying loss of apical–basal polarity and concomitant gain of front–rear polarity. Moreover, epithelial cells undergoing EMT acquire motile characteristics and an ability to degrade and reorganize the extracellular matrix [29].
Activation of EMT programming during certain steps of embryonic development is critical for the interconversions and migration of cells that are required for normal tissue morphogenesis. In addition, EMT plays an essential role in maintenance of epithelial homeostasis by orchestrating tissue repair, especially the re-epithelialization phase of wound healing [25,26,27,28]. In the context of malignancy, the acquisition of mesenchymal features driven by EMT enables cancer cells to complete many steps of the invasion-metastasis sequence, such as invasion of surrounding tissues, vascular intravasation, and colonization of distant organs [30,31]. Importantly, the phenotypic switch induced by EMT activation is partial, so that cancer cells rarely lose all of their epithelial characteristics, acquiring a full spectrum of mesenchymal traits. In vivo experiments have provided evidence that EMT transcriptional reprogramming generates different tumor cell populations, which correspond to distinct intermediate states between epithelial and mesenchymal phenotypes, including hybrid subpopulations. These subpopulations are associated with diverse properties regarding their clonogenic capacity, differentiation, invasive, and metastatic potential [27,32,33]. Furthermore, disseminated cancer cells need to re-initiate tumor growth in order to serve as founders of metastatic colonies. Thus, enhanced self-renewal and tumor-initiating potential are pre-requisites for successful metastatic foci development, implying a link between the activation of the EMT program and cancer stem cells theory [34,35]. According to the latter, a small population of neoplastic cells, termed as “cancer stem cells” (CSCs) are able to survive under adverse conditions and reproduce themselves, sustaining continuous tumor growth, partly recapitulating the hierarchical organization processes encountered in normal tissues [36]. Indeed, there is experimental evidence that the mesenchymal-appearing cells generated by EMT acquire a number of features associated with a stem-cell like identity, such as low proliferation rate and enhanced tumor-initiating potential, while they have also been found to express well-accepted CSCs markers [37,38]. In support of the potential interplay between epithelial-mesenchymal plasticity and the acquisition of stem-cell like features, signaling pathways regulating CSCs phenotype and those that induce EMT are characterized by significant overlap, as it will be analyzed in the following sections.
Histopathologically, the hallmark of carcinoma invasion is single cells, small compact groups, or elongated strands of cells that penetrate normal tissue. In routine pathological examination, the most commonly observed invasion unit is a group of cells that maintain their cohesion by retaining expression of intercellular junction molecules [39,40,41]. The cells located at the leading edge of these multicellular units undergo partial and transient EMT and develop “leader cell” traits in order to guide their invasion [42,43,44]. In contrast, single disseminated tumor cells are rarely identified during everyday histological evaluation. The presence of such isolated cells, dissociated from the tumor mass at the invasive front, is termed as “tumor budding”, which has emerged as an independent prognostic factor, associated with aggravated clinicopathological parameters and diminished overall survival across a variety of solid malignancies. Biologically, “tumor budding” has been long hypothesized to be associated with EMT. However, the understanding of the dynamic nature of this process is restricted by the fact that its investigation is performed exclusively on histological samples [45,46]. Consistent with the potential link between EMT and tumor budding, immunohistochemical studies of specimens from a variety of epithelial tumors, including oral squamous cell, esophageal and endometrial carcinoma, as well as colorectal and pancreatic ductal adenocarcinoma, have revealed reduction or complete abolishment of E-cadherin expression. In the cases of oral squamous cell carcinoma and pancreatic ductal adenocarcinoma, the alteration of E-cadherin expression is accompanied by a simultaneous increase in the levels of EMT transcription factors Zeb1 and Zeb2 within tumor buds [47,48,49,50,51,52,53,54].

3. Epithelial to Mesenchymal Transition in PDAC

Accumulating data suggest that PDAC lethal behavior is at least partly related to EMT activation. Immunohistochemical studies on resected PDAC specimens have shown altered expression of EMT-TFs in ductal tumor cells compared to surrounding parenchyma [55]. In more detail, Snail exhibited moderate to strong expression, Slug showed less intense staining, and Twist was absent or only weakly expressed. Moreover, N-cadherin expression was detected in cancer cells and was more prominent in infiltrating areas [55]. Additional experiments based on the generation of orthotopic tumors by implantation of multiple human pancreatic cancer cell lines in nude mice revealed predominant Slug expression at the invasive front, whereas Snail was primarily found at the tumor center. The metastatic capacity of tumors was also positively correlated with an undifferentiated phenotype of the cell lines and higher Snail transcription levels. The diversity and regional variability in expression patterns of single EMT-TFs within the tumor is a hallmark feature of most carcinomas. It is almost certainly a consequence of the highly complex nature that defines the heterotypic signaling circuits governing EMT-TFs regulation and highlights the specialized and context-specific role of each member of the transcription factors family [56]. A retrospective study of 174 PDAC patients revealed a strong correlation between high levels of EMT-TFs and the presence of lymph node metastasis (p = 0.03) or portal vein invasion (p = 0.038) [57]. A recent meta-analysis has also confirmed a vital role of EMT in the appearance of tumor budding (TB) [53,54,58,59,60,61,62] and demonstrated a statistically significant association between high grade TB and increased risk of mortality or disease recurrence. Table 2 summarizes the retrospective studies that have demonstrated a statistically significant association between high grade TB and reduced overall survival and/or disease free survival [58,59,61,63,64,65,66].
Two fundamentally different metastatic cell models have been suggested. According to the classical one, metastasis is the final step of a “Darwinian” evolutionary process. This model states that metastatic competent clones emerge in the context of the primary tumor, after multiple successive cycles of genetic and epigenetic changes, followed by selection pressure [67]. The second model envisions metastasis as an inherent property of tumors, arising very early in their natural history. It supports that cellular dissemination can occur before the formation of a histologically identifiable invasive carcinoma [68,69], and it is consistent with recent studies that revealed the presence of tumor cells in the bone marrow of patients with in situ mammary neoplasia [70]. This second metastasis model is supported by novel in vivo studies on two of the most frequently used genetically engineered PDAC mouse strains, which are based on simultaneous conditional KRAS gain-of-function mutation and p53 (PKC) [71] or p16 (IKC) [22] deletion. Lineage-tracing experiments on both those mouse strains, which fully recapitulate tumor histology, desmoplastic stroma, and metastatic spread in humans, revealed the expression of EMT transcription factor Zeb1 in areas of acinar-to-ductal metaplasia (ADM) as well as in cells of pre-invasive lesions of low and high grade PanIN [72]. Moreover, single Zeb1+ tumor cells with a spindle-like morphology that had delaminated from PanIN were identified in adjacent stroma and also in the circulation and the liver of mice without frank pancreatic tumor development (Figure 1). Similar findings were encountered on human PDAC. Interestingly, the EMT-committed disseminated cells displayed stem-like properties, such as an enhanced tumor initiating capacity associated with an increased potential of metastatic colonies formation in distant organs [72]. The above data point towards a link between EMT activation and early cancer cell dissemination. It should be noted that this hypothesis comes in contrast with previous studies supporting that metastatic clones appear at an advanced stage of pancreatic cancer evolution [73]. A plausible explanation could be that cancer cell spreading occurs years before metastatic foci become clinically evident.
Furthermore, in the study of Rhim et al. [72], cerulein and duct ligation induced pancreatitis accelerated the emergence of ADM and PanIN in PKC and IKC mouse strains, and led to a higher proportion of cells undergoing EMT, invading the surrounding tissue, and entering the bloodstream. This finding confirms the well-established role of inflammation in promoting tumor development and provides evidence that a pro-tumorigenic inflammatory microenvironment is a key driver of the EMT-regulated early carcinoma invasion and dissemination process [72,74,75]. In addition, cells of pre-invasive lesions have been shown to act as inflammatory triggers, promoting stromal reaction and surrounding tissue infiltration by multiple fibroblasts and immunoregulatory cells. These heterogenous populations of the microenvironment secrete a variety of growth factors and cytokines, which act as paracrine signals on epithelial neoplastic cells and activate multiple pathways that converge to the EMT-transcription factors, enabling progression of pre-invasive lesions to invasive carcinoma [76] (Figure 1).
EMT appears to be equally important during all stages of tumors progression by being a key driver of cellular plasticity and intratumoral heterogeneity. Recently, implementation of single cell RNA sequencing technology provided a more comprehensive and higher resolution analysis of the full spectrum of different tumor cell populations encountered in pancreatic cancer. Single cell analyses of tumors derived from PKC mouse models, as well as from human PDAC surgical specimens, identified multiple distinct phenotypic cancer cell clusters, which were classified into categories along the epithelial-to-mesenchymal continuum based on their gene expression profile. The epithelial clusters showed enrichment for genes linked to epithelial differentiation and proliferation, whereas the mesenchymal exhibited an EMT-related profile. There were also many hybrid populations with intermediate phenotypes and gene signatures, which corresponded to a wide range of states within the EMT spectrum. The EMT program is therefore heterogenous on a single cell level permitting continuous fluctuations among different cancer cell populations, contributing to tumor heterogeneity. There also seems to be a strong correlation between the stage of tumorigenesis and the dominant cell population phenotype. In early stages, tumors displayed a predominant epithelial profile, whereas cancer cells enriched for mesenchymal markers seemed to emerge in more advanced stages of tumor evolution [77]. The dynamic interconversions among different phenotypic states could explain the pivotal role of EMT to the emergence of cancer cells with stemness features, namely CSCs. Since their first identification in 2007 [78], a broad spectrum of markers and functional in vitro and in vivo assays, such as anchorage independent growth (tumor spheres) and limiting dilution xenograft models in immunodeficient mice, have been utilized for the prospective isolation and characterization of CSCs in pancreatic carcinomas [79,80,81,82,83,84]. The most promising candidate markers utilized so far are CD44, CD24, EpCAM (ESA), ALDH, CD133, and c-Met. Those markers have been used for the identification and isolation of tumor cells, principally from mouse xenografts of human pancreatic adenocarcinomas and in the case of CD133 also directly from patient specimens. The isolated cells demonstrated significantly enhanced tumor initiating capacity when injected in immunodeficient mice, as well as higher potential in generating tumor spheres in vitro [78,79,80,81,82,83,84]. Even though a common signature for their detection is still missing, there is evidence that activation of EMT induces expression of CSCs markers, reflecting the potential interplay between epithelial-to-mesenchymal plasticity and CSCs.
Intratumoral heterogeneity of PDAC is directly associated with the spatial heterogeneity of the tumor microenvironment (TME). Regional variations of both its cellular and non-cellular constituents create a mosaic that modulates intratumoral phenotypic patterns. Cancer associated fibroblasts (CAFs) constitute the most abundant cellular component of the tumor stroma, engulfing different subpopulations characterized by molecular, immunophenotypic, and functional divergence. Through a dynamic network of interactions, CAFs execute either tumor suppressive or tumor restrictive functions and actively induce phenotypic shifts in cancer cells [85,86,87,88]. For example, the genetic depletion of SMA+ cancer associated fibroblasts in a KRAS-driven PDAC mouse model led to reduced production of collagen I in tumor stroma and to the generation of tumors with an anaplastic phenotype, accompanied by the acquisition of an EMT signature and an enrichment of cells expressing CSCs markers [89]. Results from co-culture experiments of PDAC cell lines and cancer associated fibroblasts (CAFs) revealed a strong association between CAF concentrations and tumor cells gene expression profile. In more detail, low CAF concentration correlated with a pure, either proliferative or EMT tumor cell signature, whereas CAF enrichment led to a mixed, proliferative and EMT profile [90]. The TME of PDAC is also highly rich in leukocytes, encompassing a broad spectrum of both innate and adaptive immunity cells [23]. Those heterogeneous cell populations are engaged in an elaborate network of provisional interactions among themselves and the neoplastic cells, directly influencing their phenotypic plasticity. Two predominant cellular components of the inflammatory infiltrate are tumor associated macrophages (TAMs) and T-regulatory cells (T-regs), that work in a co-operative manner to establish an immunosuppressive niche and undermine the development of an effective tumoricidal immune response [91,92,93]. They also secrete inflammatory cytokines and other paracrine factors such as interleukin-1, Matrix metallopeptidase 9, or Toll-like receptor-4 agonists or interact with tumor cells in a juxtracrine manner, for example through CD90, acting as potent inducers of EMT [94,95,96,97,98,99]. This direct effect postulates a mechanistic link between immunosuppression and enhanced invasive capability of pancreatic tumor cells.
The above data suggest that in early stages, TME-epithelial interactions promote EMT leading to initiation of invasion and cell dissemination, whereas in more advanced disease a more complex interplay is encountered between the different TME subpopulations and cancer cells.

4. Pathways Regulating Epithelial to Mesenchymal Transition in PDAC

The broad reprogramming of the gene expression profile that occurs during EMT requires the synergistic activity of many different paracrine factors and the coordinated modification of multiple signaling pathways. Many cytokines, growth factors, metabolic regulators, post-translational and epigenetic modifiers, components of the DNA damage response machinery and differentiation factors have been identified as key players of EMT transcriptional reprogramming (Figure 2). In the following section, the prevailing pathways and mediators regulating EMT transition in PDAC are analyzed.
Inflammatory cytokines: Among the various cytokines produced by CAFs and immune cells of the TME, the most well-characterized inducers of EMT are TGF-β, IL6, IL1, TNFa [76], and IL22 [100].
Transforming growth factor-β (TGF-β): TGF-β is the major EMT-activator in a number of different cancer subtypes, including PDAC [101]. It acts mainly through engagement of TGF-β receptor, which leads to phosphorylation of SMAD2 and SMAD4. Those two transcription factors subsequently form heterodimers, which translocate to the nucleus and drive or repress transcription of several genes [102]. Its role in pancreatic cancer progression is cellular context dependent. In cancer cells, induction of TGF-b β pathway directly activates transcription of Slug, Snail, Twist, and Zeb1 leading to EMT initiation, which both reduces proliferation by cell-cycle arrest but also promotes invasion [103,104]. Moreover, stromal TGF-β signaling promotes tumor growth by inducing fibrosis and creating an immune suppressive microenvironment [105].
Interleukin-6 (IL6): IL6 has been found to play a critical role in KRAS-induced malignant transformation in the pancreas [106]. Its oncogenic function is executed through ligation of IL6-Receptor, which results in phosphorylation of JAK kinases and subsequent phospho-activation of the STAT3 transcription factor. STAT3 then translocates to the nucleus and acts as a master regulator of pancreatic tumorigenesis in multiple stages of cancer progression [107]. Genetic deletion of STAT3 in genetically engineered mouse models has been shown to reduce inflammation-driven progression of PanIN to invasive PDAC [108,109]. Moreover, STAT3 CRISPR/Cas mediated ablation in murine KRAS/p53 null cells led to the formation of xenografts with anaplastic morphological and immunophenotypical characteristics, including loss of E-cadherin and keratin expression with subsequent acquisition of SMA positivity, manifesting EMT-activation [110]. In addition, STAT3 has been mechanistically shown to bind to regulatory sequence of vimentin gene directly inducing its expression, further supporting the key role of STAT3 and IL-6 in EMT [111].
Interleukin-1 (IL1) and tumor necrosis factor-a (TNFa): IL1 and TNFa are two proinflammatory cytokines that execute their function through activation of Nfk-b transcription factor. The latter is constitutively active in the majority of PDAC and is associated with poor prognosis [112]. It regulates a wide spectrum of biological processes, including proliferation, apoptosis, and inflammation. Recent evidence suggests that in addition to those well-established functions, Nfk-b is also a central regulator of tumor cells metastatic potential. Its activation by IL-1 and TNFa signaling axes induces a mesenchymal phenotype of pancreatic cancer cells and leads to enhanced migratory capacity, whereas its inhibition substantially reduces their invasive properties. These phenotypic alterations are, as expected, associated with upregulation of vimentin and Zeb1 and downregulation of E-cadherin [113,114,115].
Interleukin-22 (IL22): IL22 has been recently identified as a pro-tumorigenic cytokine in pancreatic cancer. Its expression is upregulated in human PDAC samples, and its role has emerged as a key mediator of the crosstalk between tumor and immune cells in early steps of tumor development. Namely, IL22 promotes acinar-to-ductal metaplasia and induces expression of EMT in KPC mice. These oncogenic effects appear to be STAT3-dependent as they were alleviated by its pharmacological inhibition [100].
Cancer Stem Cells pathways: Wnt, Notch, Hedgehog, and Hippo are evolutionarily conserved signaling pathways, implicated in multiple cellular processes, such as proliferation, differentiation, and stem cell renewal. In many organs, including the pancreas, they act as crucial regulators of both embryonic development and adult tissue homeostasis [116,117,118,119,120,121,122,123,124,125,126,127]. Aberrant activity of these pathways in different malignancies underpins a synergy in tumor growth. Their functional relevance is mainly associated with the establishment and maintenance of a cancer stem cell phenotype and the promotion of tumor invasion and metastasis [128,129,130,131,132,133]. Abnormal activity is a common trait of PDAC, and experimental data derived mainly from in vitro studies propose a leading role in the induction of an EMT transcriptional program associated with acquisition of a mesenchymal phenotype, enhanced invasive and migratory potential, as well as expression of cancer stem cells markers.
Wnt pathway mediates multiple biological processes depending exclusively on b-catenin for signal transduction. B-catenin protein levels are regulated at a post-translational level by a complex network of modifiers [134]. Foxo3a and SPRY2 act as negative modulators of the Wnt pathway by inhibiting b-catenin-mediated cellular responses. Their knockdown in pancreatic cancer cell lines enhances b-catenin activity, induces EMT, and promotes metastasis [135]. In contrast, Ataxia Telangectasia group D Complement gene (ATDC), a positive regulator of b-catenin, has been shown to activate master EMT transcription factors as well as cancer stem cells markers. ATDC is overexpressed in the vast majority of human PDAC, whereas its conditional knockout in a KRAS induced pancreatic tumorigenesis murine model completely abrogated invasive cancer development. In addition, in vivo studies from the same group showed that ATDC conditional overexpression in the context of activating KRAS mutations resulted in acceleration of tumorigenesis and increased metastatic burden [136].
Notch is a juxtracrine signaling system that relies on interactions between adjacent cells, leading to direct activation of two families of transcription factors: Hey and Hes [137]. It is a critical pathway for stem cell renewal and cellular differentiation that exerts both oncogenic and onco-suppressive functions depending on the tumoral context [138,139]. In PDAC, Notch role is oncogenic, promoting EMT [140]. Pharmacological inhibition in pancreatic cancer cell lines led to diminished EMT activation and reduced expression of CSCs markers [141]. Recently, an interesting indirect role of Notch in promoting EMT and metastasis of pancreatic cancer was described, based on an inflammatory feedback circuit between tumor cells and macrophages. Autocrine activation of Notch in cancer cells stimulates the secretion of cytokines that induce recruitment of macrophages and their deviation towards a tumor-supporting M2 phenotype, also termed tumor associated macrophages (TAMs). TAMs then activate EMT, initiating tumor invasion [142].
Hedgehog signaling system exerts a multitude of functions in both tissue homeostasis and cancer development. Activation of the pathway incites a complex intracellular cascade that begins from the transmembrane protein SMO and terminates at the intranuclear transactivators GLI1/GLI2 [143]. In PDAC pathogenesis, Hedgehog’s multifaceted role includes tumor cell-intrinsic actions [144], and it also seems to mediate interactions between neoplastic cells and the various cellular components of TME [145]. In vitro experiments in pancreatic cancer tumor spheres indicate a pro-tumorigenic function of the Hedgehog pathway, through EMT induction and regulation of cancer stem cells plasticity. Knockdown of SMO resulted in reduced expression of EMT markers and diminished invasive potential of pancreatic cancer stem cells [146].
Hippo pathway regulates various biological processes by tightly controlling the activity of transcriptional co-activators YAP/TAZ. Stimulation of the pathway induces a phosphorylation cascade of multiple intracellular mediators (MST1/2, LATS1/2) that ends up in the inactivation of YAP/TAZ, whereas inhibition triggers their translocation to the nucleus, enabling them to transactivate a wide range of downstream target genes involved in both cellular physiology and carcinogenesis [147]. In pancreatic cancer there is data supporting an oncogenic, EMT promoting, function of YAP/TAZ. YAP expression is elevated in human PDAC specimens, whereas induced overexpression and silencing of both YAP and TAZ in PDAC cell lines indicate their functional importance in EMT induction accompanied by an enhanced invasive and migratory capacity [148,149].
Epigenetic regulation of EMT: Epigenetic reprogramming plays a significant role in modulating PDAC progression, partly by regulating the EMT transdifferentiation program. Frequent alterations in chromatin remodelers, histone methyltransferases, and noncoding RNAs are a hallmark feature in a significant proportion of human pancreatic tumors.
The SWI/SNF is a chromatin remodeling complex that regulates gene expression by controlling transcription factors access to regulatory DNA sequences, especially enhancers. One of its critical components, Arid1a, is a vital regulator of pancreatic cell fate and an essential factor for acinar cell differentiation and homeostasis [150]. Its key role in cancer biology is underpinned by the frequent loss of function mutations in multiple malignant tumors, including PDAC, where it is found mutated in about 4% of cases [151]. Arid1a inactivation is correlated to worse prognosis and poor tumor differentiation and its conditional ablation in a KRAS-driven PDAC murine model accelerated significantly invasive tumors formation, a finding underlying its tumor suppressor potential. Mechanistically the reduced tumor latency seemed to be linked to the elevated protein levels of Myc [152]. Furthermore, Arid1a knockdown in pancreatic cancer cell lines induced a phenotypic shift to a more mesenchymal state, associated with elevated expression of EMT related markers, such as vimentin and N-cadherin [153].
KMT2D is another chromatin modification enzyme that acts as a major histone methyltransferase establishing active promoter and enhancer landscapes by mono- and di-methylating lysine 4 residues in histone 3. Its expression has been found to be suppressed in human PDAC specimens, whereas its CRISPR/Cas based ablation in pancreatic cancer cell lines lead to the generation of cells with a mesenchymal-spindle like phenotype along with an enhanced migratory and invasive capacity and enrichment of an EMT signature. In addition, the KMT2D-null cells generated tumors with more mesenchymal cell morphology in orthotopic xenografts experiments [154].
Micro-RNAs (miRNAs) and long non-coding-RNAs (lncRNAs) are RNA molecules that simultaneously control the expression of multiple genes at a post-transcriptional and posttranslational level. Their aberrant expression is a landmark feature of malignant tumors, underlying their profound contribution to the progressive and dynamic deregulation of various biological processes that define cancer cells, including proliferation, apoptosis, invasion, and metastasis [155,156]. Both miRNAs and lncRNAs can function as either oncogenes or tumor suppressor genes in a wide range of neoplasms [155,156] including PDAC [157,158]. The bulk of data regarding the multipronged functions of non-coding RNAs in pancreatic carcinogenesis have been derived from in vitro experiments, based on inducible overexpression or genetic deletion of distinct RNA molecules in different PDAC cell lines followed by evaluation of this interference in the expression levels of downstream target genes and the phenotypic plasticity of tumor cells. This strategy has accentuated the notable role of non-coding RNAs in regulating EMT and has identified a broad spectrum of RNA molecules that either enhance or impair tumor cells’ invasive and metastatic capacity. Namely, such an experimental approach has elucidated a negative feedback loop between Zeb1 and two members of the miRNA-200 family (miRNA-200c and miRNA-141) that triggers the invasive potential of pancreatic cancer cells [159,160]. MiRNA-200c and miRNA-141 are downregulated in pancreatic cancer cell lines and act in an EMT-inhibitory manner being engaged in reciprocal suppressive interactions with Zeb1. Both miRNA molecules restrain Zeb1 expression and vice versa. Consequently, Zeb1 upregulation impairs miRNA-200c and miRNA-141 transcription and stabilizes an EMT phenotype in tumor cells [159,160]. MiRNA-34b, miRNA-126, miRNA-146, miRNA-203, and miRNA-218 inhibit phenotypic shift of pancreatic cancer cells to a mesenchymal state and compromise their invasive capacity [161,162,163,164,165]. In contrast, miRNA-10a and miRNA-208 enhance cells’ metastatic behavior [166,167,168]. In a similar fashion, lncRNAs employ more complex mechanisms to control a broad spectrum of downstream target genes and act as positive or negative modulators of cellular invasiveness. SNHG1, DLEU2, HULC2, XIST, and PVT1 are the most well-characterized lncRNAs displaying an EMT promoting activity [169,170,171,172,173], whereas ENST00000480739, PCTST, and ZEB2-AS1 have been identified as potent inhibitors of pancreatic tumor cells invasive capacity [174,175,176]. Table 3 summarizes the studies on human PDAC specimens addressing the expression levels of non-coding RNA molecules. When available, correlation with patients’ prognosis is also depicted.
Miscellaneous pathways: GATA6 expression is one of the key factors regulating epithelial differentiation during pancreatic embryonal development, and its role in PDAC has recently begun to be uncovered. Pancreatic carcinomas displaying high levels of GATA6 are associated with better tumor differentiation and improved patient outcomes. On the contrary, PDAC cases characterized by loss of GATA6 expression show concomitant activation of epithelial to mesenchymal transition, acquisition of an EMT molecular phenotype, and poor prognosis. Gain and loss of function experiments on PDAC cell lines confirmed the role of GATA6 in regulating EMT [177]. According to a recent study, GATA6 levels are, at least partly, controlled by an epigenetic mechanism, based on EZH2-induced transcriptional repression [178].
DNA damage response (DDR) acts as a barrier that prevents progression of intraepithelial lesions to invasive cancer, whereas defects of DDR pathways lead to EMT activation. Ataxia telangectasia mutated (ATM) factor deletion in the context of KRAS activating mutations enhance the development of pre-cancerous lesions such as acinar-to-ductal metaplasia associated with expression of EMT factors. Moreover, tumors developed in an ATM null background exhibit an enrichment of a CSC-marker positive population [179].
PP2A-SET interplay is speculated to have an integral role in EMT. SET is an endogenous inhibitor of tumor suppressor PP2A and has been found overexpressed in multiple pancreatic cancer cell lines. It executes pro-tumoral activity through PP2A-downregulation and c-Myc stabilization. It also triggers EMT-transcriptional factors leading to acquisition of a mesenchymal phenotype and to increased invasive and migratory potential [180]. CIP2A is another negative regulator of PP2A activity that has been statistically associated with high expression of EMT transcription modulators in pancreatic cancer. However, no mechanistical data exist that could suggest a causal relationship [181].
Metabolic plasticity has been also linked to EMT activation on tumor cells. FOXM1 is a transcription factor modulating EMT in multiple carcinomas, including PDAC, where it seems to acts as an upstream regulator of Snail, promoting EMT in a glucose dependent manner [182]. In another study employing a PDAC orthotopic mouse model, glutamine deprivation led to overexpression of Slug, a proliferation repressor and EMT inducer, resulting in reduction of tumor metabolic demands. This nutrient-stress Slug-mediated reprogramming confers a cell survival advantage and fosters metastasis [183]. Further experimental evidence is needed in order to elucidate the potential causal link between EMT and metabolic rewiring in PDAC.

5. Epithelial-to-Mesenchymal Transition and Chemoresistance in Pancreatic Ductal Adenocarcinoma

Poor prognosis of PDAC is to a large extent associated with lack of response to existing systemic treatments. Recent evidence supports the notion that development of drug resistance is a multi-factorial process and EMT appears to be one of the key factors. In this context, a recent immunohistochemical study on human pancreatic cancer specimens showed elevated expression of EMT markers and increased levels of tumor budding after neoadjuvant chemotherapy [184]. Similar findings have been extracted from in vitro experiments in both cell lines and patient-derived organoids. Namely, Gemcitabine resistant stable PDAC cells lines displayed increased levels of EMT transcription factors and reduced expression of E-cadherin [185,186]. FOLFIRINOX treatment experiments in both commercial and primary patient-derived PDAC cell lines with diverse phenotypes along the epithelial to mesenchymal axis have shown that the quasi-mesenchymal phenotype is related to treatment resistance. Pre-treatment single cell analysis depicted the heterogeneity of cell line population with some cells showing epithelial signatures and others showing mesenchymal signatures. Post-treatment analysis demonstrated significant alterations in the proportion of epithelial to mesenchymal-like cells, with a shift towards an overall prevailing mesenchymal phenotype [187]. In another experiment, Hiriac et al. [188] used patient derived pancreatic cancer organoids, aiming to identify gene expression profiles that predict the level of response or resistance to the standard-of-care chemotherapeutic regimens. In concordance, more resistant organoids displayed an EMT-associated signature [188].
According to the two main theories, chemoresistance development is driven either by preexisting resistant clones or by a small subset of tumor cells that evade chemotherapy, survive, and eventually form a new therapy-resistant tumor. The drug-tolerant cancer cells harbor features of stemness, which largely overlap with CSCs traits, such as slow proliferation rate, plasticity, self-renewal ability, and tumor-initiating capacity. Indeed, CSCs identified in various tumor subtypes, including PDAC, have been found intrinsically more resistant to conventional chemotherapy than their non-CSCs counterparts [35,189,190,191,192] (Figure 3). It is therefore plausible to speculate that the fundamental role of EMT in drug resistance is at least partly interceded by induction of a stem-like identity in tumor cells. In support of this theory, emerging evidence suggests that pancreatic CSCs and EMT mechanistic parallels coalesce on signaling pathways linked to evasion of chemotherapeutic regimens. ATDC represents a good example of such a pathway, with a well-defined multifaceted role in PDAC biology, that has emerged as a critical orchestrator of drug resistance. Its multipronged functions in pancreatic cancer progression include, as already described in the previous section, the activation of EMT, the promotion of migration and metastasis, and a phenotypic shift to a CSCs state. Recently a novel role of ATDC as a crucial modulator of an NRF2-dependent chemoresistance mechanism was revealed [193]. NRF2 is one of the critical components of the cell detoxification machinery and a master regulator of chemoresistance in various tumor subtypes [194,195]. Its levels in PDAC are increased and they seem to be controlled predominantly at a posttranslational level by ATDC. ATDC overexpression in pancreatic cancer cell lines conferred resistance to gemcitabine, whereas NRF2 shRNA-mediated silencing alleviated this effect. These data support the existence of an ATDC/NRF2 axis that controls response of PDAC to gemcitabine [193]. A number of other pathways and factors, implicated in EMT activation, such as Notch [140], YAP [148], and GATA6 [177], have also been shown to confer resistance to the most frequently used chemotherapy regimens, even though specific mechanistic details have yet to be elucidated. EMT mediators have been also found to alter the absorption profile of drugs by regulating the expression of drug influx and efflux transporters. For example, EMT activation is accompanied by loss of gemcitabine chemosensitivity through an equilibrative nucleoside transporter 1 (ENT1) regulated mechanism. Cadherin switching from the epithelial (E) to neuronal (N) type and loss of EpCAM expression reduced ENT1 expression, inhibited its membrane localization, and diminished gemcitabine transport in EMT-committed tumor cells [196].

6. Pharmacological Targeting of Epithelial to Mesenchymal Transition

Due to its integral and multifaceted role in pancreatic cancer biology, targeting EMT seems as a feasible therapeutic strategy for PDAC. The abundance of different extracellular mediators and heterotypic intracellular signaling circuits that control EMT means that different stages of this multistep transdifferentiation process can be exploited pharmaceutically. It should, however, be stressed that the intricate networks controlling EMT are also critical modulators of other aspects of pancreatic cancer pathogenesis, and their utilization as therapeutic targets should be carefully designed. TGF-b, IL-6, IL-1, and Hedgehog are among the most potent and “druggable” inducers of EMT, and a multiplicity of developed inhibitors targeting these pathways are in the process of safety and efficacy evaluation in clinical trials of different phases. Table 4 shows the multiple inhibitors and monoclonal antibodies targeting EMT under clinical trials for PDAC [197].
TGF-b: A variety of drugs belonging to three different classes with diverse mechanisms of action have been developed to target the TGF-β pathway, engulfing antibodies directed against TGF-b ligands or receptors (TGF-bRI), inhibitors of TGF-bRI kinase, and antisense oligonucleotides that target TGF-b transcripts. The efficacy of these drugs as first or second line therapeutic options is being assessed in various clinical trials or preclinical models of pancreatic cancer, almost exclusively in combination schemes with common chemotherapy drugs or immunotherapeutic monoclonal antibodies [198,199,200].
IL-6/IL-1: Monoclonal antibodies targeting IL-6 or IL-6 receptors as well as a selective estrogen receptor modulator [201] have been utilized for the inhibition of IL-6-induced EMT in PDAC. Clinical trials of IL-6 pathway inhibitors in combination with chemotherapeutic or immunotherapeutic drugs are currently in progress. The anti-IL-1b mAb canakinumab (ACZ885) is also under evaluation in a phase Ib study in metastatic pancreatic cancer patients.
Hedgehog: Vismodegib is an inhibitor of hedgehog ligand membrane receptors and has been evaluated in a combination scheme with gemcitabine and nab-paclitaxel in a phase II clinical trial. However, the study did not reveal improved efficacy compared to chemotherapy alone [202]. A number of other hedgehog inhibitors are currently in clinical trials for advanced PDAC.

7. Conclusions—Future Directions

In the last few years, rigorous research has led to enormous progress in clarifying the contribution of EMT in PDAC pathogenesis. The present review summarizes current knowledge regarding the multifaceted role of EMT in pancreatic carcinogenesis. EMT activation in pancreatic ductal epithelium of precancerous lesions has been linked to early cancer cell invasion and dissemination, stimulated by inflammatory microenvironment. Additionally, EMT has been shown to enhance cellular plasticity and intratumoral heterogeneity and to promote drug resistance, possibly through CSC development. Various signaling pathways that control epithelial to mesenchymal plasticity have been identified, including inflammatory cytokines, CSC pathways, epigenetic modulators, and various others signaling networks. However much work still needs to be done in order to acquire a more comprehensive understanding of the complex non-linear interactions of intracellular signaling circuits that govern EMT and how this transdifferentiation program affects various aspects of pancreatic cancer biology. Even though EMT master regulators have been identified, significant information is missing regarding the exact specialized role that each of these EMT-TFs exerts in the broad rewiring of the gene expression profile and the progressive phenotypic shift induced in tumor cells. Moreover, there is no compelling evidence to provide a mechanistic correlation between activation of EMT and generation of cancer stem cells. It is therefore not yet clarified how the dynamic modification of multiple cellular function induced during epithelial to mesenchymal transdifferentiation is coupled to the acquirement of stemness features, and consequently to the development of drug resistance. The development of effective genetically engineered murine models is urgently needed for a more in depth study of EMT. Additionally, the implementation of the latest state of the art techniques, such as in vivo lineage-tracing, organoids, and gene editing based on CRISPR/Cas, can be proven invaluable tools in the effort to decipher the contribution of EMT in PDAC natural history. In vivo models of PDAC and organoids should also be employed for the rapid evaluation of multiple candidate drugs aiming to develop more effective therapeutic schemes targeting EMT, with the hope to prolong pancreatic cancer patients’ survival and improve their quality of life.

Author Contributions

Conceptualization, S.S., K.P.; writing—original draft preparation, K.P.; writing—review and editing, S.S., E.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors would like to express their gratitude to Ioanna Delladetsima for her critical comments. The figures were created using software biorender.com (accessed on 30 September 2021, 26 October 2021 and 3 November 2021).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
  2. Miller, K.D.; Fidler-Benaoudia, M.; Keegan, T.H.; Hipp, H.S.; Jemal, A.; Siegel, R.L. Cancer statistics for adolescents and young adults, 2020. CA Cancer J. Clin. 2020, 70, 443–459. [Google Scholar] [CrossRef] [PubMed]
  3. Rawla, P.; Sunkara, T.; Gaduputi, V. Epidemiology of Pancreatic Cancer: Global Trends, Etiology and Risk Factors. World J. Oncol. 2019, 10, 10–27. [Google Scholar] [CrossRef] [PubMed]
  4. Kleeff, J.; Korc, M.; Apte, M.; La Vecchia, C.; Johnson, C.D.; Biankin, A.V.; Neale, R.E.; Tempero, M.; Tuveson, D.A.; Hruban, R.H.; et al. Pancreatic cancer. Nat. Rev. Dis. Primers 2016, 2, 16022. [Google Scholar] [CrossRef]
  5. Kuehn, B.M. Looking to Long-term Survivors for Improved Pancreatic Cancer Treatment. JAMA 2020, 324, 2242–2244. [Google Scholar] [CrossRef]
  6. Picozzi, V.J.; Oh, S.Y.; Edwards, A.; Mandelson, M.T.; Dorer, R.; Rocha, F.G.; Alseidi, A.; Biehl, T.; Traverso, L.W.; Helton, W.S.; et al. Five-Year Actual Overall Survival in Resected Pancreatic Cancer: A Contemporary Single-Institution Experience from a Multidisciplinary Perspective. Ann. Surg. Oncol. 2017, 24, 1722–1730. [Google Scholar] [CrossRef]
  7. Conroy, T.; Hammel, P.; Hebbar, M.; Ben Abdelghani, M.; Wei, A.C.; Raoul, J.L.; Choné, L.; Francois, E.; Artru, P.; Biagi, J.J.; et al. Canadian Cancer Trials Group and the Unicancer-GI–PRODIGE Group. FOLFIRINOX or Gemcitabine as Adjuvant Therapy for Pancreatic Cancer. N. Engl. J. Med. 2018, 379, 2395–2406. [Google Scholar] [CrossRef]
  8. Amrutkar, M.; Gladhaug, I.P. Pancreatic Cancer Chemoresistance to Gemcitabine. Cancers 2017, 9, 157. [Google Scholar] [CrossRef] [Green Version]
  9. Neoptolemos, J.P.; Kleeff, J.; Michl, P.; Costello, E.; Greenhalf, W.; Palmer, D.H. Therapeutic developments in pancreatic cancer: Current and future perspectives. Nat. Rev. Gastroenterol. Hepatol. 2018, 15, 333–348. [Google Scholar] [CrossRef]
  10. Zeng, S.; Pöttler, M.; Lan, B.; Grützmann, R.; Pilarsky, C.; Yang, H. Chemoresistance in Pancreatic Cancer. Int. J. Mol. Sci. 2019, 20, 4504. [Google Scholar] [CrossRef] [Green Version]
  11. Hosein, A.N.; Brekken, R.A.; Maitra, A. Pancreatic cancer stroma: An update on therapeutic targeting strategies. Nat. Rev. Gastroenterol. Hepatol. 2020, 17, 487–505. [Google Scholar] [CrossRef]
  12. Nagathihalli, N.S.; Castellanos, J.A.; Shi, C.; Beesetty, Y.; Reyzer, M.L.; Caprioli, R.; Chen, X.; Walsh, A.; Skala, M.C.; Moses, H.L.; et al. Signal Transducer and Activator of Transcription 3, Mediated Remodeling of the Tumor Microenvironment Results in Enhanced Tumor Drug Delivery in a Mouse Model of Pancreatic Cancer. Gastroenterology 2015, 149, 1932–1943.e9. [Google Scholar] [CrossRef] [Green Version]
  13. Olive, K.P.; Jacobetz, M.A.; Davidson, C.J.; Gopinathan, A.; McIntyre, D.; Honess, D.; Madhu, B.; Goldgraben, M.A.; Caldwell, M.E.; Allard, D.; et al. Inhibition of Hedgehog Signaling Enhances Delivery of Chemotherapy in a Mouse Model of Pancreatic Cancer. Science 2009, 324, 1457–1461. [Google Scholar] [CrossRef] [Green Version]
  14. Provenzano, P.P.; Cuevas, C.; Chang, A.E.; Goel, V.K.; Von Hoff, D.D.; Hingorani, S.R. Enzymatic Targeting of the Stroma Ablates Physical Barriers to Treatment of Pancreatic Ductal Adenocarcinoma. Cancer Cell 2012, 21, 418–429. [Google Scholar] [CrossRef] [Green Version]
  15. Hezel, A.F.; Kimmelman, A.C.; Stanger, B.Z.; Bardeesy, N.; Depinho, R.A. Genetics and biology of pancreatic ductal adenocarcinoma. Genes Dev. 2006, 20, 1218–1249. [Google Scholar] [CrossRef] [Green Version]
  16. Makohon-Moore, A.; Iacobuzio-Donahue, C.A. Pancreatic cancer biology and genetics from an evolutionary perspective. Nat. Rev. Cancer 2016, 16, 553–565. [Google Scholar] [CrossRef] [Green Version]
  17. Rooman, I.; Real, F.X. Pancreatic ductal adenocarcinoma and acinar cells: A matter of differentiation and development? Gut 2011, 61, 449–458. [Google Scholar] [CrossRef]
  18. Stanger, B.Z.; Stiles, B.; Lauwers, G.Y.; Bardeesy, N.; Mendoza, M.; Wang, Y.; Greenwood, A.; Cheng, K.-H.; McLaughlin, M.; Brown, D.; et al. Pten constrains centroacinar cell expansion and malignant transformation in the pancreas. Cancer Cell 2005, 8, 185–195. [Google Scholar] [CrossRef] [Green Version]
  19. Storz, P. Acinar cell plasticity and development of pancreatic ductal adenocarcinoma. Nat. Rev. Gastroenterol. Hepatol. 2017, 14, 296–304. [Google Scholar] [CrossRef]
  20. Hruban, R.H.; Adsay, N.V.; Albores–Saavedra, J.; Compton, C.; Garrett, E.S.; Goodman, S.N.; Kern, S.E.; Klimstra, D.S.; Klöppel, G.; Longnecker, D.S.; et al. Pancreatic intraepithelial neoplasia: A new nomenclature and classification system for pancreatic duct lesions. Am. J. Surg. Pathol. 2001, 25, 579–586. [Google Scholar] [CrossRef]
  21. Hruban, R.H.; Goggins, M.; Parsons, J.; Kern, E.S. Progression model for pancreatic cancer. Clin. Cancer Res. 2000, 6, 2969–2972. [Google Scholar]
  22. Aguirre, A.J.; Bardeesy, N.; Sinha, M.; Lopez, L.; Tuveson, D.A.; Horner, J.; Redston, M.S.; Depinho, R.A. Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma. Genes Dev. 2003, 17, 3112–3126. [Google Scholar] [CrossRef] [Green Version]
  23. Clark, C.E.; Hingorani, S.R.; Mick, R.; Combs, C.; Tuveson, D.A.; Vonderheide, R.H.; Hitchins, M.P.; Ap Lin, V.; Buckle, A.; Cheong, K.; et al. Dynamics of the Immune Reaction to Pancreatic Cancer from Inception to Invasion. Cancer Res. 2007, 67, 9518–9527. [Google Scholar] [CrossRef] [Green Version]
  24. Neesse, A.; Bauer, C.A.; Öhlund, D.; Lauth, M.; Buchholz, M.; Michl, P.; Tuveson, D.A.; Gress, T. Stromal biology and therapy in pancreatic cancer: Ready for clinical translation? Gut 2019, 68, 159–171. [Google Scholar] [CrossRef]
  25. Hay, E.D. The mesenchymal cell, its role in the embryo, and the remarkable signaling mechanisms that create it. Dev. Dyn. 2005, 233, 706–720. [Google Scholar] [CrossRef]
  26. Kalluri, R.; Weinberg, R.A. The basics of epithelial-mesenchymal transition. J. Clin. Investig. 2009, 119, 1420–1428, Erratum in: J. Clin. Investig. 2010, 120, 1786. [Google Scholar] [CrossRef] [Green Version]
  27. Nieto, M.A.; Huang, R.Y.-J.; Jackson, R.A.; Thiery, J.P. EMT: 2016. Cell 2016, 166, 21–45. [Google Scholar] [CrossRef] [Green Version]
  28. Shook, D.; Keller, R. Mechanisms, mechanics and function of epithelial–mesenchymal transitions in early development. Mech. Dev. 2003, 120, 1351–1383. [Google Scholar] [CrossRef]
  29. Lamouille, S.; Xu, J.; Derynck, R. Molecular mechanisms of epithelial–mesenchymal transition. Nat. Rev. Mol. Cell Biol. 2014, 15, 178–196. [Google Scholar] [CrossRef] [Green Version]
  30. De Craene, B.; Berx, G. Regulatory networks defining EMT during cancer initiation and progression. Nat. Rev. Cancer 2013, 13, 97–110. [Google Scholar] [CrossRef]
  31. Lambert, A.W.; Pattabiraman, D.R.; Weinberg, R.A. Emerging Biological Principles of Metastasis. Cell 2017, 168, 670–691. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Pastushenko, I.; Blanpain, C. EMT Transition States during Tumor Progression and Metastasis. Trends Cell Biol. 2019, 29, 212–226. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Pastushenko, I.; Brisebarre, A.; Sifrim, A.; Fioramonti, M.; Revenco, T.; Boumahdi, S.; Van Keymeulen, A.; Brown, D.; Moers, V.; Lemaire, S.; et al. Identification of the tumour transition states occurring during EMT. Nature 2018, 556, 463–468. [Google Scholar] [CrossRef] [PubMed]
  34. Oskarsson, T.; Batlle, E.; Massagué, J. Metastatic Stem Cells: Sources, Niches, and Vital Pathways. Cell Stem Cell 2014, 14, 306–321. [Google Scholar] [CrossRef] [Green Version]
  35. Shibue, T.; Weinberg, T.S.R.A. EMT, CSCs, and drug resistance: The mechanistic link and clinical implications. Nat. Rev. Clin. Oncol. 2017, 14, 611–629. [Google Scholar] [CrossRef] [Green Version]
  36. Nguyen, L.; Vanner, R.; Dirks, P.B.; Eaves, C.J. Cancer stem cells: An evolving concept. Nat. Rev. Cancer 2012, 12, 133–143. [Google Scholar] [CrossRef]
  37. Mani, S.A.; Guo, W.; Liao, M.-J.; Eaton, E.N.; Ayyanan, A.; Zhou, A.Y.; Brooks, M.; Reinhard, F.; Zhang, C.C.; Shipitsin, M.; et al. The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells. Cell 2008, 133, 704–715. [Google Scholar] [CrossRef] [Green Version]
  38. Morel, A.-P.; Lièvre, M.; Thomas, C.; Hinkal, G.; Ansieau, S.; Puisieux, A. Generation of Breast Cancer Stem Cells through Epithelial-Mesenchymal Transition. PLoS ONE 2008, 3, e2888. [Google Scholar] [CrossRef]
  39. Friedl, P.; Locker, J.; Sahai, E.; Segall, J.E. Classifying collective cancer cell invasion. Nat. Cell Biol. 2012, 14, 777–783. [Google Scholar] [CrossRef]
  40. Chung, Y.-C.; Wei, W.-C.; Kuo, J.-F.; Hsu, C.-P.; Chang, K.-J.; Chao, W.-T.; Hung, C.-N. Rab11 collaborates E-cadherin to promote collective cell migration and indicates a poor prognosis in colorectal carcinoma. Eur. J. Clin. Investig. 2016, 46, 1002–1011. [Google Scholar] [CrossRef]
  41. Veracini, L.; Grall, D.; Schaub, S.; Divonne, S.B.-D.L.F.; Etienne-Grimaldi, M.-C.; Milano, G.; Bozec, A.; Babin, E.; Sudaka, A.; Thariat, J.; et al. Elevated Src family kinase activity stabilizes E-cadherin-based junctions and collective movement of head and neck squamous cell carcinomas. Oncotarget 2015, 6, 7570–7583. [Google Scholar] [CrossRef] [Green Version]
  42. Friedl, P.; Gilmour, D. Collective cell migration in morphogenesis, regeneration and cancer. Nat. Rev. Mol. Cell Biol. 2009, 10, 445–457. [Google Scholar] [CrossRef]
  43. Westcott, J.M.; Prechtl, A.M.; Maine, E.A.; Dang, T.; Esparza, M.; Sun, H.; Zhou, Y.; Xie, Y.; Pearson, G.W. An epigenetically distinct breast cancer cell subpopulation promotes collective invasion. J. Clin. Investig. 2015, 125, 1927–1943. [Google Scholar] [CrossRef]
  44. Ye, X.; Tam, W.L.; Shibue, T.; Kaygusuz, Y.; Reinhardt, F.; Eaton, E.N.; Weinberg, R.A. Distinct EMT programs control normal mammary stem cells and tumour-initiating cells. Nat. Cell Biol. 2015, 525, 256–260. [Google Scholar] [CrossRef] [Green Version]
  45. Grigore, A.D.; Jolly, M.K.; Jia, D.; Farach-Carson, M.C.; Levine, H. Tumor Budding: The Name is EMT. Partial EMT. J. Clin. Med. 2016, 5, 51. [Google Scholar] [CrossRef]
  46. Lugli, A.; Zlobec, I.; Berger, M.D.; Kirsch, R.; Nagtegaal, I.D. Tumour budding in solid cancers. Nat. Rev. Clin. Oncol. 2021, 18, 101–115. [Google Scholar] [CrossRef]
  47. Attramadal, C.G.; Kumar, S.; Boysen, M.E.; Dhakal, H.P.; Nesland, J.M.; Bryne, M. Tumor Budding, EMT and Cancer Stem Cells in T1-2/N0 Oral Squamous Cell Carcinomas. Anticancer. Res. 2015, 35, 6111–6120. [Google Scholar]
  48. Jensen, D.; Dabelsteen, E.; Specht, L.; Fiehn, A.; Therkildsen, M.; Jønson, L.; Vikesaa, J.; Nielsen, F.; von Buchwald, C. Molecular profiling of tumour budding implicates TGFβ-mediated epithelial-mesenchymal transition as a therapeutic target in oral squamous cell carcinoma. J. Pathol. 2015, 236, 505–516. [Google Scholar] [CrossRef]
  49. Nakagawa, Y.; Ohira, M.; Kubo, N.; Yamashita, Y.; Sakurai, K.; Toyokawa, T.; Tanaka, H.; Muguruma, K.; Shibutani, M.; Yamazoe, S.; et al. Tumor budding and E-cadherin expression are useful predictors of nodal involvement in T1 esophageal squamous cell carcinoma. Anticancer. Res. 2013, 33, 5023–5029. [Google Scholar]
  50. Koyuncuoglu, M.; Okyay, E.; Saatli, B.; Olgan, S.; Akin, M.; Saygili, U. Tumor budding and E-Cadherin expression in endometrial carcinoma: Are they prognostic factors in endometrial cancer? Gynecol. Oncol. 2012, 125, 208–213. [Google Scholar] [CrossRef]
  51. Lee, S.-J.; Choi, S.Y.; Kim, W.-J.; Ji, M.; Lee, T.-G.; Son, B.-R.; Yoon, S.M.; Sung, R.; Lee, E.J.; Youn, S.J.; et al. Combined aberrant expression of E-cadherin and S100A4, but not β-catenin is associated with disease-free survival and overall survival in colorectal cancer patients. Diagn. Pathol. 2013, 8, 99. [Google Scholar] [CrossRef] [Green Version]
  52. Zlobec, I.; Lugli, A.; Baker, K.; Roth, S.; Minoo, P.; Hayashi, S.; Terracciano, L.; Jass, J.R. Role of APAF-1, E-cadherin and peritumoural lymphocytic infiltration in tumour budding in colorectal cancer. J. Pathol. 2007, 212, 260–268. [Google Scholar] [CrossRef]
  53. Kohler, I.; Bronsert, P.; Timme, S.; Werner, M.; Brabletz, T.; Hopt, U.T.; Schilling, O.; Bausch, D.; Keck, T.; Wellner, U.F. Detailed analysis of epithelial-mesenchymal transition and tumor budding identifies predictors of long-term survival in pancreatic ductal adenocarcinoma. J. Gastroenterol. Hepatol. 2015, 30 (Suppl. 1), 78–84. [Google Scholar] [CrossRef]
  54. Galván, J.A.; Zlobec, I.; Wartenberg, M.; Lugli, A.; Gloor, B.; Perren, A.; Karamitopoulou, E. Expression of E-cadherin repressors SNAIL, ZEB1 and ZEB2 by tumour and stromal cells influences tumour-budding phenotype and suggests heterogeneity of stromal cells in pancreatic cancer. Br. J. Cancer 2015, 112, 1944–1950. [Google Scholar] [CrossRef] [Green Version]
  55. Hotz, B.; Arndt, M.; Dullat, S.; Bhargava, S.; Buhr, H.-J.; Hotz, H.G. Epithelial to Mesenchymal Transition: Expression of the Regulators Snail, Slug, and Twist in Pancreatic Cancer. Clin. Cancer Res. 2007, 13, 4769–4776. [Google Scholar] [CrossRef] [Green Version]
  56. Stemmler, M.P.; Eccles, R.L.; Brabletz, S.; Brabletz, T. Non-redundant functions of EMT transcription factors. Nat. Cell Biol. 2019, 21, 102–112. [Google Scholar] [CrossRef]
  57. Yamada, S.; Fuchs, B.C.; Fujii, T.; Shimoyama, Y.; Sugimoto, H.; Nomoto, S.; Takeda, S.; Tanabe, K.K.; Kodera, Y.; Nakao, A. Epithelial-to-mesenchymal transition predicts prognosis of pancreatic cancer. Surgery 2013, 154, 946–954. [Google Scholar] [CrossRef]
  58. Lawlor, R.T.; Veronese, N.; Nottegar, A.; Malleo, G.; Smith, L.; Demurtas, J.; Cheng, L.; Wood, L.D.; Silvestris, N.; Salvia, R.; et al. Prognostic Role of High-Grade Tumor Budding in Pancreatic Ductal Adenocarcinoma: A Systematic Review and Meta-Analysis with a Focus on Epithelial to Mesenchymal Transition. Cancers 2019, 11, 113. [Google Scholar] [CrossRef] [Green Version]
  59. Chouat, E.; Zehani, A.; Chelly, I.; Njima, M.; Maghrebi, H.; Bani, M.A.; Njim, L.; Zakhama, A.; Haouet, S.; Kchir, N. Tumor budding is a prognostic factor linked to epithelial mesenchymal transition in pancreatic ductal adenocarcinoma. Study report and literature review. Pancreatology 2018, 18, 79–84. [Google Scholar] [CrossRef]
  60. Lapshyn, H.; Bolm, L.; Kohler, I.; Werner, M.; Billmann, F.G.; Bausch, D.; Hopt, U.T.; Makowiec, F.; Wittel, U.A.; Keck, T.; et al. Histopathological tumor invasion of the mesenterico-portal vein is characterized by aggressive biology and stromal fibroblast activation. HPB 2017, 19, 67–74. [Google Scholar] [CrossRef] [Green Version]
  61. Liu, D.-N.; Lv, A.; Tian, Z.-H.; Tian, X.-Y.; Guan, X.-Y.; Dong, B.; Zhao, M.; Hao, C.-Y. Superior mesenteric artery margin in pancreaticoduodenectomy for pancreatic adenocarcinoma. Oncotarget 2017, 8, 7766–7776. [Google Scholar] [CrossRef] [PubMed]
  62. Wartenberg, M.; Cibin, S.; Zlobec, I.; Vassella, E.; Eppenberger-Castori, S.; Terracciano, L.; Eichmann, M.; Worni, M.; Gloor, B.; Perren, A.; et al. Integrated Genomic and Immunophenotypic Classification of Pancreatic Cancer Reveals Three Distinct Subtypes with Prognostic/Predictive Significance. Clin. Cancer Res. 2018, 24, 4444–4454. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Karamitopoulou, E.; Zlobec, I.; Born, D.; Kondi-Pafiti, A.; Lykoudis, P.; Mellou, A.; Gennatas, K.; Gloor, B.; Lugli, A. Tumour budding is a strong and independent prognostic factor in pancreatic cancer. Eur. J. Cancer 2013, 49, 1032–1039. [Google Scholar] [CrossRef] [PubMed]
  64. Lohneis, P.; Sinn, M.; Klein, F.; Bischoff, S.; Striefler, J.K.; Wislocka, L.; Sinn, B.V.; Pelzer, U.; Oettle, H.; Riess, H.; et al. Tumour buds determine prognosis in resected pancreatic ductal adenocarcinoma. Br. J. Cancer 2018, 118, 1485–1491. [Google Scholar] [CrossRef]
  65. O’Connor, K.; Li-Chang, H.H.; Kalloger, S.E.; Peixoto, R.D.; Webber, D.L.; Owen, D.A.; Driman, D.K.; Kirsch, R.; Serra, S.; Scudamore, C.H.; et al. Tumor Budding Is an Independent Adverse Prognostic Factor in Pancreatic Ductal Adenocarcinoma. Am. J. Surg. Pathol. 2015, 39, 472–478. [Google Scholar] [CrossRef]
  66. Zhang, L.; Department of General Surgery; Guo, L.; Tao, M.; Fu, W.; Xiu, D. Parasympathetic neurogenesis is strongly associated with tumor budding and correlates with an adverse prognosis in pancreatic ductal adenocarcinoma. Chin. J. Cancer Res. 2016, 28, 180–186. [Google Scholar] [CrossRef]
  67. Cairns, J. Mutation selection and the natural history of cancer. Nat. Cell Biol. 1975, 255, 197–200. [Google Scholar] [CrossRef]
  68. Hellman, S. Karnofsky Memorial Lecture. Natural history of small breast cancers. J. Clin. Oncol. 1994, 12, 2229–2234. [Google Scholar] [CrossRef]
  69. Klein, C.A. Parallel progression of primary tumours and metastases. Nat. Rev. Cancer 2009, 9, 302–312. [Google Scholar] [CrossRef]
  70. Sänger, N.; Effenberger, K.E.; Riethdorf, S.; Van Haasteren, V.; Gauwerky, J.; Wiegratz, I.; Strebhardt, K.; Kaufmann, M.; Pantel, K. Disseminated tumor cells in the bone marrow of patients with ductal carcinoma in situ. Int. J. Cancer 2011, 129, 2522–2526. [Google Scholar] [CrossRef]
  71. Hingorani, S.R.; Wang, L.; Multani, A.S.; Combs, C.; Deramaudt, T.B.; Hruban, R.H.; Rustgi, A.K.; Chang, S.; Tuveson, D.A. Trp53R172H and KrasG12D cooperate to promote chromosomal instability and widely metastatic pancreatic ductal adenocarcinoma in mice. Cancer Cell 2005, 7, 469–483. [Google Scholar] [CrossRef] [Green Version]
  72. Rhim, A.D.; Mirek, E.T.; Aiello, N.M.; Maitra, A.; Bailey, J.M.; McAllister, F.; Reichert, M.; Beatty, G.L.; Rustgi, A.K.; Vonderheide, R.H.; et al. EMT and Dissemination Precede Pancreatic Tumor Formation. Cell 2012, 148, 349–361. [Google Scholar] [CrossRef] [Green Version]
  73. Yachida, S.; Jones, S.; Bozic, I.; Antal, T.; Leary, R.; Fu, B.; Kamiyama, M.; Hruban, R.H.; Eshleman, J.R.; Nowak, M.A.; et al. Distant metastasis occurs late during the genetic evolution of pancreatic cancer. Nat. Cell Biol. 2010, 467, 1114–1117. [Google Scholar] [CrossRef] [Green Version]
  74. Guerra, C.; Collado, M.; Navas, C.; Schuhmacher, A.J.; Hernández-Porras, I.; Cañamero, M.; Rodriguez-Justo, M.; Serrano, M.; Barbacid, M. Pancreatitis-Induced Inflammation Contributes to Pancreatic Cancer by Inhibiting Oncogene-Induced Senescence. Cancer Cell 2011, 19, 728–739. [Google Scholar] [CrossRef] [Green Version]
  75. Guerra, C.; Schuhmacher, A.J.; Cañamero, M.; Grippo, P.J.; Verdaguer, L.; Pérez-Gallego, L.; Dubus, P.; Sandgren, E.P.; Barbacid, M. Chronic Pancreatitis Is Essential for Induction of Pancreatic Ductal Adenocarcinoma by K-Ras Oncogenes in Adult Mice. Cancer Cell 2007, 11, 291–302. [Google Scholar] [CrossRef] [Green Version]
  76. Bulle, A.; Lim, K.-H. Beyond just a tight fortress: Contribution of stroma to epithelial-mesenchymal transition in pancreatic cancer. Signal Transduct. Target. Ther. 2020, 5, 1–12. [Google Scholar] [CrossRef]
  77. Carstens, J.L.; Yang, S.; de Sampaio, P.C.; Zheng, X.; Barua, S.; McAndrews, K.M.; Rao, A.; Burks, J.K.; Rhim, A.D.; Kalluri, R. Stabilized epithelial phenotype of cancer cells in primary tumors leads to increased colonization of liver metastasis in pancreatic cancer. Cell Rep. 2021, 35, 108990. [Google Scholar] [CrossRef]
  78. Li, C.; Heidt, D.G.; Dalerba, P.; Burant, C.F.; Zhang, L.; Adsay, V.; Wicha, M.; Clarke, M.F.; Simeone, D.M. Identification of Pancreatic Cancer Stem Cells. Cancer Res. 2007, 67, 1030–1037. [Google Scholar] [CrossRef] [Green Version]
  79. Rao, C.V.; Mohammed, A. New insights into pancreatic cancer stem cells. World J. Stem Cells 2015, 7, 547–555. [Google Scholar] [CrossRef]
  80. Bailey, J.M.; Alsina, J.; Rasheed, Z.A.; McAllister, F.M.; Fu, Y.-Y.; Plentz, R.; Zhang, H.; Pasricha, P.J.; Bardeesy, N.; Matsui, W.; et al. DCLK1 Marks a Morphologically Distinct Subpopulation of Cells With Stem Cell Properties in Preinvasive Pancreatic Cancer. Gastroenterology 2014, 146, 245–256. [Google Scholar] [CrossRef] [Green Version]
  81. Hermann, P.C.; Huber, S.L.; Herrler, T.; Aicher, A.; Ellwart, J.W.; Guba, M.; Bruns, C.J.; Heeschen, C. Distinct Populations of Cancer Stem Cells Determine Tumor Growth and Metastatic Activity in Human Pancreatic Cancer. Cell Stem Cell 2007, 1, 313–323. [Google Scholar] [CrossRef] [Green Version]
  82. Kim, M.P.; Fleming, J.B.; Wang, H.; Abbruzzese, J.L.; Choi, W.; Kopetz, S.; McConkey, D.J.; Evans, D.B.; Gallick, G.E. ALDH Activity Selectively Defines an Enhanced Tumor-Initiating Cell Population Relative to CD133 Expression in Human Pancreatic Adenocarcinoma. PLoS ONE 2011, 6, e20636. [Google Scholar] [CrossRef]
  83. Ohara, Y.; Oda, T.; Sugano, M.; Hashimoto, S.; Enomoto, T.; Yamada, K.; Akashi, Y.; Miyamoto, R.; Kobayashi, A.; Fukunaga, K.; et al. Histological and prognostic importance of CD44+/CD24+/EpCAM+expression in clinical pancreatic cancer. Cancer Sci. 2013, 104, 1127–1134. [Google Scholar] [CrossRef]
  84. Li, C.; Wu, J.; Hynes, M.; Dosch, J.; Sarkar, B.; Welling, T.H.; di Magliano, M.P.; Simeone, D.M. c-Met Is a Marker of Pancreatic Cancer Stem Cells and Therapeutic Target. Gastroenterology 2011, 141, 2218–2227.e5. [Google Scholar] [CrossRef]
  85. Helms, E.; Onate, M.K.; Sherman, M.H. Fibroblast Heterogeneity in the Pancreatic Tumor Microenvironment. Cancer Discov. 2020, 10, 648–656. [Google Scholar] [CrossRef] [Green Version]
  86. Öhlund, D.; Handly-Santana, A.; Biffi, G.; Elyada, E.; Almeida, A.S.; Ponz-Sarvise, M.; Corbo, V.; Oni, T.E.; Hearn, S.A.; Lee, E.J.; et al. Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer. J. Exp. Med. 2017, 214, 579–596. [Google Scholar] [CrossRef]
  87. Biffi, G.; Oni, T.E.; Spielman, B.; Hao, Y.; Elyada, E.; Park, Y.; Preall, J.; Tuveson, D.A. IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma. Cancer Discov. 2019, 9, 282–301. [Google Scholar] [CrossRef] [Green Version]
  88. Elyada, E.; Bolisetty, M.; Laise, P.; Flynn, W.F.; Courtois, E.T.; Burkhart, R.A.; Teinor, J.A.; Belleau, P.; Biffi, G.; Lucito, M.S.; et al. Cross-Species Single-Cell Analysis of Pancreatic Ductal Adenocarcinoma Reveals Antigen-Presenting Cancer-Associated Fibroblasts. Cancer Discov. 2019, 9, 1102–1123. [Google Scholar] [CrossRef] [Green Version]
  89. Özdemir, B.C.; Pentcheva-Hoang, T.; Carstens, J.L.; Zheng, X.; Wu, C.-C.; Simpson, T.R.; Laklai, H.; Sugimoto, H.; Kahlert, C.; Novitskiy, S.V.; et al. Depletion of Carcinoma-Associated Fibroblasts and Fibrosis Induces Immunosuppression and Accelerates Pancreas Cancer with Reduced Survival. Cancer Cell 2014, 25, 719–734. [Google Scholar] [CrossRef] [Green Version]
  90. Ligorio, M.; Sil, S.; Malagon-Lopez, J.; Nieman, L.; Misale, S.; Di Pilato, M.; Ebright, R.Y.; Karabacak, N.M.; Kulkarni, A.S.; Liu, A.; et al. Stromal Microenvironment Shapes the Intratumoral Architecture of Pancreatic Cancer. Cell 2019, 178, 160–175.e27. [Google Scholar] [CrossRef]
  91. Jang, J.-E.; Hajdu, C.H.; Liot, C.; Miller, G.; Dustin, M.L.; Bar-Sagi, D. Crosstalk between Regulatory T Cells and Tumor-Associated Dendritic Cells Negates Anti-tumor Immunity in Pancreatic Cancer. Cell Rep. 2017, 20, 558–571. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Helm, O.; Held-Feindt, J.; Grage-Griebenow, E.; Reiling, N.; Ungefroren, H.; Vogel, I.; Krüger, U.; Becker, T.; Ebsen, M.; Röcken, C.; et al. Tumor-associated macrophages exhibit pro- and anti-inflammatory properties by which they impact on pancreatic tumorigenesis. Int. J. Cancer 2014, 135, 843–861. [Google Scholar] [CrossRef] [PubMed]
  93. Yang, S.; Liu, Q.; Liao, Q. Tumor-Associated Macrophages in Pancreatic Ductal Adenocarcinoma: Origin, Polarization, Function, and Reprogramming. Front. Cell Dev. Biol. 2021, 8, 607209. [Google Scholar] [CrossRef] [PubMed]
  94. Liu, C.Y.; Xu, J.Y.; Shi, X.Y.; Huang, W.; Ruan, T.Y.; Xie, P.; Ding, J.L. M2-polarized tumor-associated macrophages promoted epithelial–mesenchymal transition in pancreatic cancer cells, partially through TLR4/IL-10 signaling pathway. Lab. Investig. 2013, 93, 844–854. [Google Scholar] [CrossRef] [Green Version]
  95. Nomura, A.; Gupta, V.K.; Dauer, P.; Sharma, N.S.; Dudeja, V.; Merchant, N.; Saluja, A.K.; Banerjee, S. NFκB-Mediated Invasiveness in CD133+ Pancreatic TICs Is Regulated by Autocrine and Paracrine Activation of IL1 Signaling. Mol. Cancer Res. 2018, 16, 162–172. [Google Scholar] [CrossRef] [Green Version]
  96. Shi, J.; Lu, P.; Shen, W.; He, R.; Yang, M.-W.; Fang, Y.; Sun, Y.-W.; Niu, N.; Xue, J. CD90 highly expressed population harbors a stemness signature and creates an immunosuppressive niche in pancreatic cancer. Cancer Lett. 2019, 453, 158–169. [Google Scholar] [CrossRef]
  97. Tekin, C.; Aberson, H.L.; Waasdorp, C.; Hooijer, G.K.J.; De Boer, O.J.; Dijk, F.; Bijlsma, M.F.; Spek, C.A. Macrophage-secreted MMP9 induces mesenchymal transition in pancreatic cancer cells via PAR1 activation. Cell. Oncol. 2020, 43, 1161–1174. [Google Scholar] [CrossRef]
  98. Goebel, L.; Grage-Griebenow, E.; Gorys, A.; Helm, O.; Genrich, G.; Lenk, L.; Wesch, D.; Ungefroren, H.; Freitag-Wolf, S.; Sipos, B.; et al. CD4+T cells potently induce epithelial-mesenchymal-transition in premalignant and malignant pancreatic ductal epithelial cells–novel implications of CD4+T cells in pancreatic cancer development. OncoImmunology 2015, 4, e1000083. [Google Scholar] [CrossRef] [Green Version]
  99. Wartenberg, M.; Zlobec, I.; Perren, A.; Koelzer, V.; Gloor, B.; Lugli, A.; Karamitopoulou, E. Accumulation of FOXP3+T-cells in the tumor microenvironment is associated with an epithelial-mesenchymal-transition-type tumor budding phenotype and is an independent prognostic factor in surgically resected pancreatic ductal adenocarcinoma. Oncotarget 2015, 6, 4190–4201. [Google Scholar] [CrossRef] [Green Version]
  100. Lanfranca, M.P.; Zhang, Y.; Girgis, A.; Kasselman, S.; Lazarus, J.; Kryczek, I.; Delrosario, L.; Rhim, A.; Koneva, L.; Sartor, M.; et al. Interleukin 22 Signaling Regulates Acinar Cell Plasticity to Promote Pancreatic Tumor Development in Mice. Gastroenterology 2020, 158, 1417–1432.e11. [Google Scholar] [CrossRef]
  101. Alvarez, M.A.; Freitas, J.P.; Hussain, S.M.; Glazer, E.S. TGF-β Inhibitors in Metastatic Pancreatic Ductal Adenocarcinoma. J. Gastrointest. Cancer 2019, 50, 207–213. [Google Scholar] [CrossRef]
  102. Nakao, A.; Imamura, T.; Souchelnytskyi, S.; Kawabata, M.; Ishisaki, A.; Oeda, E.; Tamaki, K.; Hanai, J.; Heldin, C.; Miyazono, K.; et al. TGF-beta receptor-mediated signalling through Smad2, Smad3 and Smad4. EMBO J. 1997, 16, 5353–5362. [Google Scholar] [CrossRef] [Green Version]
  103. Siegel, P.M.; Massague, J. Cytostatic and apoptotic actions of TGF-β in homeostasis and cancer. Nat. Rev. Cancer 2003, 3, 807–820. [Google Scholar] [CrossRef]
  104. Xu, J.; Lamouille, S.; Derynck, R. TGF-beta-induced epithelial to mesenchymal transition. Cell Res. 2009, 19, 156–172. [Google Scholar] [CrossRef]
  105. Principe, D.R.; Decant, B.; Mascariñas, E.; Wayne, E.A.; Diaz, A.M.; Akagi, N.; Hwang, R.; Pasche, B.; Dawson, W.; Fang, D.; et al. TGFβ Signaling in the Pancreatic Tumor Microenvironment Promotes Fibrosis and Immune Evasion to Facilitate Tumorigenesis. Cancer Res. 2016, 76, 2525–2539. [Google Scholar] [CrossRef] [Green Version]
  106. Ancrile, B.; Lim, K.-H.; Counter, C.M. Oncogenic Ras-induced secretion of IL6 is required for tumorigenesis. Genes Dev. 2007, 21, 1714–1719. [Google Scholar] [CrossRef] [Green Version]
  107. Nagathihalli, N.S.; Castellanos, J.A.; VanSaun, M.N.; Dai, X.; Ambrose, M.; Guo, Q.; Xiong, Y.; Merchant, N.B. Pancreatic stellate cell secreted IL-6 stimulates STAT3 dependent invasiveness of pancreatic intraepithelial neoplasia and cancer cells. Oncotarget 2016, 7, 65982–65992. [Google Scholar] [CrossRef] [Green Version]
  108. Corcoran, R.B.; Contino, G.; Deshpande, V.; Tzatsos, A.; Conrad, C.; Benes, C.H.; Levy, D.E.; Settleman, J.; Engelman, J.A.; Bardeesy, N. STAT3 Plays a Critical Role in KRAS-Induced Pancreatic Tumorigenesis. Cancer Res. 2011, 71, 5020–5029. [Google Scholar] [CrossRef] [Green Version]
  109. Fukuda, A.; Wang, S.; Morris, J.P.; Folias, A.E.; Liou, A.; Kim, G.E.; Akira, S.; Boucher, K.; Firpo, M.A.; Mulvihill, S.J.; et al. Stat3 and MMP7 Contribute to Pancreatic Ductal Adenocarcinoma Initiation and Progression. Cancer Cell 2011, 19, 441–455. [Google Scholar] [CrossRef] [Green Version]
  110. D’Amico, S.; Shi, J.; Martin, B.; Crawford, H.C.; Petrenko, O.; Reich, N.C. STAT3 is a master regulator of epithelial identity and KRAS-driven tumorigenesis. Genes Dev. 2018, 32, 1175–1187. [Google Scholar] [CrossRef] [Green Version]
  111. Wu, Y.; Diab, I.; Zhang, X.; Izmailova, E.S.; Zehner, Z.E. Stat3 enhances vimentin gene expression by binding to the antisilencer element and interacting with the repressor protein, ZBP-89. Oncogene 2004, 23, 168–178. [Google Scholar] [CrossRef] [Green Version]
  112. Zhang, D.; Li, L.; Jiang, H.; Knolhoff, B.L.; Lockhart, A.C.; Wang-Gillam, A.; DeNardo, D.G.; Ruzinova, M.B.; Lim, K.-H. Constitutive IRAK4 Activation Underlies Poor Prognosis and Chemoresistance in Pancreatic Ductal Adenocarcinoma. Clin. Cancer Res. 2017, 23, 1748–1759. [Google Scholar] [CrossRef] [Green Version]
  113. Zhang, D.; Li, L.; Jiang, H.; Li, Q.; Wang-Gillam, A.; Yu, J.; Head, R.; Liu, J.; Ruzinova, M.B.; Lim, K.H. Tumor–Stroma IL1beta-IRAK4 Feedforward Circuitry Drives Tumor Fibrosis, Chemoresistance, and Poor Prognosis in Pancreatic Cancer. Cancer Res. 2018, 78, 1700–1712. [Google Scholar] [CrossRef] [Green Version]
  114. Correction: IL1 Receptor Antagonist Inhibits Pancreatic Cancer Growth by Abrogating NF-κB Activation. Clin. Cancer Res. 2017, 23, 868, Erratum for: Clin. Cancer Res. 2016, 22, 1432–1244. [CrossRef] [Green Version]
  115. Maier, H.J.; Schmidt-Straßburger, U.; Huber, M.A.; Wiedemann, E.M.; Beug, H.; Wirth, T. NF-κB promotes epithelial–mesenchymal transition, migration and invasion of pancreatic carcinoma cells. Cancer Lett. 2010, 295, 214–228. [Google Scholar] [CrossRef]
  116. Nusse, R.; Clevers, H. Wnt/β-Catenin Signaling, Disease, and Emerging Therapeutic Modalities. Cell 2017, 169, 985–999. [Google Scholar] [CrossRef]
  117. Steinhart, Z.; Angers, S. Wnt signaling in development and tissue homeostasis. Development 2018, 145, dev146589. [Google Scholar] [CrossRef] [Green Version]
  118. Chiba, S. Concise Review: Notch Signaling in Stem Cell Systems. Stem Cells 2006, 24, 2437–2447. [Google Scholar] [CrossRef]
  119. Siebel, C.; Lendahl, U. Notch Signaling in Development, Tissue Homeostasis, and Disease. Physiol. Rev. 2017, 97, 1235–1294. [Google Scholar] [CrossRef] [Green Version]
  120. Ingham, P.W. Hedgehog signaling in animal development: Paradigms and principles. Genes Dev. 2001, 15, 3059–3087. [Google Scholar] [CrossRef] [Green Version]
  121. Petrova, R.; Joyner, A.L. Roles for Hedgehog signaling in adult organ homeostasis and repair. Development 2014, 141, 3445–3457. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Yu, F.-X.; Zhao, B.; Guan, K.L. Hippo Pathway in Organ Size Control, Tissue Homeostasis, and Cancer. Cell 2015, 163, 811–828. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  123. Zheng, Y.; Pan, D. The Hippo Signaling Pathway in Development and Disease. Dev. Cell 2019, 50, 264–282. [Google Scholar] [CrossRef] [PubMed]
  124. Scheibner, K.; Bakhti, M.; Bastidas-Ponce, A.; Lickert, H. Wnt signaling: Implications in endoderm development and pancreas organogenesis. Curr. Opin. Cell Biol. 2019, 61, 48–55. [Google Scholar] [CrossRef] [PubMed]
  125. Li, X.-Y.; Zhai, W.-J.; Teng, C.-B. Notch Signaling in Pancreatic Development. Int. J. Mol. Sci. 2015, 17, 48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Lau, J.; Kawahira, H.; Hebrok, M. Hedgehog signaling in pancreas development and disease. Cell. Mol. Life Sci. 2006, 63, 642–652. [Google Scholar] [CrossRef]
  127. Gao, T.; Zhou, D.; Yang, C.; Singh, T.; Penzo–Méndez, A.; Maddipati, R.; Tzatsos, A.; Bardeesy, N.; Avruch, J.; Stanger, B.Z. Hippo Signaling Regulates Differentiation and Maintenance in the Exocrine Pancreas. Gastroenterology 2013, 144, 1543–1553.e1. [Google Scholar] [CrossRef] [Green Version]
  128. Yanling, W.; Wang, Y.; Zhu, Y.; Yuan, C.; Wang, D.; Zhang, W.; Qi, B.; Qiu, J.; Song, X.; Ye, J.; et al. The Hippo transducer TAZ promotes epithelial to mesenchymal transition and cancer stem cell maintenance in oral cancer. Mol. Oncol. 2015, 9, 1091–1105. [Google Scholar] [CrossRef] [Green Version]
  129. Misiorek, J.O.; Przybyszewska-Podstawka, A.; Kałafut, J.; Paziewska, B.; Rolle, K.; Rivero-Müller, A.; Nees, M. Context Matters: NOTCH Signatures and Pathway in Cancer Progression and Metastasis. Cells 2021, 10, 94. [Google Scholar] [CrossRef]
  130. Park, J.H.; Shin, J.E.; Park, H.W. The Role of Hippo Pathway in Cancer Stem Cell Biology. Mol. Cells 2018, 41, 83–92. [Google Scholar] [CrossRef]
  131. Takebe, N.; Miele, L.; Harris, P.J.; Jeong, W.; Bando, H.; Kahn, M.G.; Yang, S.X.; Ivy, S.P. Targeting Notch, Hedgehog, and Wnt pathways in cancer stem cells: Clinical update. Nat. Rev. Clin. Oncol. 2015, 12, 445–464. [Google Scholar] [CrossRef] [PubMed]
  132. Venkatesh, V.; Nataraj, R.; Thangaraj, G.S.; Karthikeyan, M.; Gnanasekaran, A.; Kaginelli, S.B.; Kuppanna, G.; Kallappa, C.G.; Basalingappa, K.M. Targeting Notch signalling pathway of cancer stem cells. Stem Cell Investig. 2018, 5, 5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Vincan, E.; Barker, N. The upstream components of the Wnt signalling pathway in the dynamic EMT and MET associated with colorectal cancer progression. Clin. Exp. Metastasis 2008, 25, 657–663. [Google Scholar] [CrossRef] [PubMed]
  134. Macdonald, B.T.; Tamai, K.; He, X. Wnt/β-Catenin Signaling: Components, Mechanisms, and Diseases. Dev. Cell 2009, 17, 9–26. [Google Scholar] [CrossRef] [Green Version]
  135. Li, J.; Yang, R.; Dong, Y.; Chen, M.; Wang, Y.; Wang, G. Knockdown of FOXO3a induces epithelial-mesenchymal transition and promotes metastasis of pancreatic ductal adenocarcinoma by activation of the β-catenin/TCF4 pathway through SPRY2. J. Exp. Clin. Cancer Res. 2019, 38, 38, Erratum in: J. Exp. Clin. Cancer Res. 2021, 40, 249. [Google Scholar] [CrossRef] [Green Version]
  136. Wang, L.; Yang, H.; Abel, E.V.; Ney, G.M.; Palmbos, P.L.; Bednar, F.; Zhang, Y.; Leflein, J.; Waghray, M.; Owens, S.; et al. ATDC induces an invasive switch in KRAS-induced pancreatic tumorigenesis. Genes Dev. 2015, 29, 171–183. [Google Scholar] [CrossRef] [Green Version]
  137. Bray, S. Notch signalling in context. Nat. Rev. Mol. Cell Biol. 2016, 17, 722–735. [Google Scholar] [CrossRef]
  138. Aster, J.C.; Pear, W.S.; Blacklow, S.C. The Varied Roles of Notch in Cancer. Annu. Rev. Pathol. Mech. Dis. 2017, 12, 245–275. [Google Scholar] [CrossRef] [Green Version]
  139. Lobry, C.; Oh, P.; Aifantis, I. Oncogenic and tumor suppressor functions of Notch in cancer: It’s NOTCH what you think. J. Exp. Med. 2011, 208, 1931–1935. [Google Scholar] [CrossRef] [Green Version]
  140. Wang, Z.; Li, Y.; Kong, D.; Banerjee, S.; Ahmad, A.; Azmi, A.; Ali, S.; Abbruzzese, J.L.; Gallick, G.E.; Sarkar, F.H. Acquisition of Epithelial-Mesenchymal Transition Phenotype of Gemcitabine-Resistant Pancreatic Cancer Cells Is Linked with Activation of the Notch Signaling Pathway. Cancer Res. 2009, 69, 2400–2407. [Google Scholar] [CrossRef] [Green Version]
  141. Palagani, V.; El Khatib, M.; Kossatz, U.; Bozko, P.; Müller, M.R.; Manns, M.P.; Krech, T.; Malek, N.P.; Plentz, R.R. Epithelial Mesenchymal Transition and Pancreatic Tumor Initiating CD44+/EpCAM+ Cells Are Inhibited by γ-Secretase Inhibitor IX. PLoS ONE 2012, 7, e46514. [Google Scholar] [CrossRef] [Green Version]
  142. Geng, Y.; Fan, J.; Chen, L.; Zhang, C.; Qu, C.; Qian, L.; Chen, K.; Meng, Z.; Chen, Z.; Wang, P. A Notch-dependent inflammatory feedback circuit between macrophages and cancer cells regulates pancreatic cancer metastasis. Cancer Res. 2020, 81, 64–76. [Google Scholar] [CrossRef]
  143. Briscoe, J.; Therond, P.P. The mechanisms of Hedgehog signalling and its roles in development and disease. Nat. Rev. Mol. Cell Biol. 2013, 14, 416–429. [Google Scholar] [CrossRef]
  144. Di Magliano, M.P.; Sekine, S.; Ermilov, A.; Ferris, J.; Dlugosz, A.A.; Hebrok, M. Hedgehog/Ras interactions regulate early stages of pancreatic cancer. Genes Dev. 2006, 20, 3161–3173. [Google Scholar] [CrossRef] [Green Version]
  145. Steele, N.G.; Biffi, G.; Kemp, S.B.; Zhang, Y.; Drouillard, D.; Syu, L.; Hao, Y.; Oni, T.E.; Brosnan, E.; Elyada, E.; et al. Inhibition of Hedgehog Signaling Alters Fibroblast Composition in Pancreatic Cancer. Clin. Cancer Res. 2021, 27, 2023–2037. [Google Scholar] [CrossRef]
  146. Wang, F.; Ma, L.; Zhang, Z.; Liu, X.; Gao, H.; Zhuang, Y.; Yang, P.; Kornmann, M.; Tian, X.; Yang, Y. Hedgehog Signaling Regulates Epithelial-Mesenchymal Transition in Pancreatic Cancer Stem-Like Cells. J. Cancer 2016, 7, 408–417. [Google Scholar] [CrossRef] [Green Version]
  147. Ma, S.; Meng, Z.; Chen, R.; Guan, K.-L. The Hippo Pathway: Biology and Pathophysiology. Annu. Rev. Biochem. 2019, 88, 577–604. [Google Scholar] [CrossRef] [Green Version]
  148. Yuan, Y.; Li, D.; Li, H.; Wang, L.; Tian, G.; Dong, Y. YAP overexpression promotes the epithelial-mesenchymal transition and chemoresistance in pancreatic cancer cells. Mol. Med. Rep. 2015, 13, 237–242. [Google Scholar] [CrossRef] [Green Version]
  149. Xie, D.; Cui, J.; Xia, T.; Jia, Z.; Wang, L.; Wei, W.; Zhu, A.; Gao, Y.; Xie, K.; Quan, M. Hippo transducer TAZ promotes epithelial mesenchymal transition and supports pancreatic cancer progression. Oncotarget 2015, 6, 35949–35963. [Google Scholar] [CrossRef] [Green Version]
  150. Wang, W.; Friedland, S.C.; Guo, B.; O’Dell, M.R.; Alexander, W.; Whitney-Miller, C.L.; Agostini-Vulaj, D.; Huber, A.R.; Myers, J.R.; Ashton, J.; et al. ARID1A, a SWI/SNF subunit, is critical to acinar cell homeostasis and regeneration and is a barrier to transformation and epithelial-mesenchymal transition in the pancreas. Gut 2019, 68, 1245–1258. [Google Scholar] [CrossRef]
  151. Kadoch, C.; Hargreaves, D.C.; Hodges, H.C.; Elias, L.; Ho, L.; Ranish, J.; Crabtree, G.R. Proteomic and bioinformatic analysis of mammalian SWI/SNF complexes identifies extensive roles in human malignancy. Nat. Genet. 2013, 45, 592–601. [Google Scholar] [CrossRef]
  152. Wang, S.C.; Nassour, I.; Xiao, S.; Zhang, S.; Luo, X.; Lee, J.; Li, L.; Sun, X.; Nguyen, L.H.; Chuang, J.-C.; et al. SWI/SNF component ARID1A restrains pancreatic neoplasia formation. Gut 2019, 68, 1259–1270. [Google Scholar] [CrossRef] [Green Version]
  153. Tomihara, H.; Carbone, F.; Perelli, L.; Huang, J.K.; Soeung, M.; Rose, J.L.; Robinson, F.S.; Deribe, Y.L.; Feng, N.; Takeda, M.; et al. Loss of ARID1A Promotes Epithelial–Mesenchymal Transition and Sensitizes Pancreatic Tumors to Proteotoxic Stress. Cancer Res. 2021, 81, 332–343. [Google Scholar] [CrossRef]
  154. Kim, H.S.; Lu, S.; Cao, Y.; Yi, Z.; Jeyarajan, S.; Zhao, L.; Bedi, K.; Narayanan, I.V.; Paulsen, M.T.; Ljungman, M.; et al. KMT2D mediates TGF-β-induced epithelial-to-mesenchymal transition to promote more aggressive pancreatic cancer. In Proceedings of the AACR Special Conference on Pancreatic Cancer: Advances in Science and Clinical Care, Boston, MA, USA, 6–9 September 2019; AACR; Cancer Res.: Philadelphia, PA, USA, 2019; Volume 79 (Suppl. 24). Abstract nr C28. [Google Scholar]
  155. Esquela-Kerscher, A.; Slack, F. Oncomirs—microRNAs with a role in cancer. Nat. Rev. Cancer 2006, 6, 259–269. [Google Scholar] [CrossRef]
  156. Schmitt, A.M.; Chang, H.Y. Long Noncoding RNAs in Cancer Pathways. Cancer Cell 2016, 29, 452–463. [Google Scholar] [CrossRef] [Green Version]
  157. Rawat, M.; Kadian, K.; Gupta, Y.; Kumar, A.; Chain, P.S.; Kovbasnjuk, O.; Parasher, G. MicroRNA in Pancreatic Cancer: From Biology to Therapeutic Potential. Genes 2019, 10, 752. [Google Scholar] [CrossRef] [Green Version]
  158. Zhou, W.; Chen, L.; Li, C.; Huang, R.; Guo, M.; Ning, S.; Ji, J.; Guo, X.; Lou, G.; Jia, X.; et al. The multifaceted roles of long noncoding RNAs in pancreatic cancer: An update on what we know. Cancer Cell Int. 2020, 20, 1–11. [Google Scholar] [CrossRef] [Green Version]
  159. Burk, U.; Schubert, J.; Wellner, U.; Schmalhofer, O.; Vincan, E.; Spaderna, S.; Brabletz, T. A reciprocal repression between ZEB1 and members of the miR-200 family promotes EMT and invasion in cancer cells. EMBO Rep. 2008, 9, 582–589. [Google Scholar] [CrossRef] [Green Version]
  160. Paterson, E.L.; Kolesnikoff, N.; Gregory, P.A.; Bert, A.G.; Khew-Goodall, Y.; Goodall, G.J. The microRNA-200 family regulates epithelial to mesenchymal transition. Sci. World J. 2008, 8, 901–904. [Google Scholar] [CrossRef] [Green Version]
  161. Liu, C.; Cheng, H.; Shi, S.; Cui, X.; Yang, J.; Chen, L.; Cen, P.; Cai, X.; Lu, Y.; Wu, C.; et al. MicroRNA-34b inhibits pancreatic cancer metastasis through repressing Smad3. Curr. Mol. Med. 2013, 13, 467–478. [Google Scholar] [CrossRef]
  162. Frampton, A.E.; Krell, J.; Jacob, J.; Stebbing, J.; Castellano, L.; Jiao, L.R. Loss of miR-126 is crucial to pancreatic cancer progression. Expert Rev. Anticancer Ther. 2012, 12, 881–884. [Google Scholar] [CrossRef] [PubMed]
  163. Li, Y.; Vandenboom, T.G., 2nd; Wang, Z.; Kong, D.; Ali, S.; Philip, P.A.; Sarkar, F.H. miR-146a suppresses invasion of pancreatic cancer cells. Cancer Res. 2010, 70, 1486–1495. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. Miao, L.; Xiong, X.; Lin, Y.; Cheng, Y.; Lu, J.; Zhang, J.; Cheng, N. miR-203 inhibits tumor cell migration and invasion via caveolin-1 in pancreatic cancer cells. Oncol. Lett. 2014, 7, 658–662. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. He, H.; Hao, S.J.; Yao, L.; Yang, F.; Di, Y.; Li, J.; Jiang, Y.J.; Jin, C.; Fu, D.L. MicroRNA-218 inhibits cell invasion and migration of pancreatic cancer via regulating ROBO1. Cancer Biol. Ther. 2014, 15, 1333–1339. [Google Scholar] [CrossRef] [Green Version]
  166. Ohuchida, K.; Mizumoto, K.; Lin, C.; Yamaguchi, H.; Ohtsuka, T.; Sato, N.; Toma, H.; Nakamura, M.; Nagai, E.; Hashizume, M.; et al. MicroRNA-10a is overexpressed in human pancreatic cancer and involved in its invasiveness partially via suppression of the HOXA1 gene. Ann. Surg. Oncol. 2012, 19, 2394–2402. [Google Scholar] [CrossRef]
  167. Weiss, F.U.; Marques, I.J.; Woltering, J.M.; Vlecken, D.H.; Aghdassi, A.; Partecke, L.I.; Heidecke, C.D.; Lerch, M.M.; Bagowski, C.P. Retinoic acid receptor antagonists inhibit miR-10a expression and block metastatic behavior of pancreatic cancer. Gastroenterology 2009, 137, 2136–2145.e7. [Google Scholar] [CrossRef]
  168. Liu, A.; Shao, C.; Jin, G.; Liu, R.; Hao, J.; Song, B.; Ouyang, L.; Hu, X. miR-208-induced epithelial to mesenchymal transition of pancreatic cancer cells promotes cell metastasis and invasion. Cell Biochem. Biophys. 2014, 69, 341–346. [Google Scholar] [CrossRef]
  169. Cui, L.; Dong, Y.; Wang, X.; Zhao, X.; Kong, C.; Liu, Y.; Jiang, X.; Zhang, X. Downregulation of long noncoding RNA SNHG1 inhibits cell proliferation, metastasis, and invasion by suppressing the Notch-1 signaling pathway in pancreatic cancer. J. Cell. Biochem. 2019, 120, 6106–6112. [Google Scholar] [CrossRef]
  170. Xu, B.; Gong, X.; Zi, L.; Li, G.; Dong, S.; Chen, X.; Li, Y. Silencing of DLEU 2 suppresses pancreatic cancer cell proliferation and invasion by upregulating microRNA-455. Cancer Sci. 2019, 110, 1676–1685. [Google Scholar] [CrossRef] [Green Version]
  171. Feng, H.; Wei, B.; Zhang, Y. Long non-coding RNA HULC promotes proliferation, migration and invasion of pancreatic cancer cells by down-regulating microRNA-15a. Int. J. Biol. Macromol. 2019, 126, 891–898. [Google Scholar] [CrossRef]
  172. Sun, J.; Zhang, Y. LncRNA XIST enhanced TGF-β2 expression by targeting miR-141-3p to promote pancreatic cancer cells invasion. Biosci. Rep. 2019, 39, BSR20190332. [Google Scholar] [CrossRef] [Green Version]
  173. Zhou, D.-D.; Liu, X.-F.; Lu, C.-W.; Pant, O.P.; Liu, X.-D. Long non-coding RNA PVT1: Emerging biomarker in digestive system cancer. Cell Prolif. 2017, 50, e12398. [Google Scholar] [CrossRef] [Green Version]
  174. Sun, Y.-W.; Chen, Y.-F.; Li, J.; Huo, Y.-M.; Liu, D.-J.; Hua, R.; Zhang, J.-F.; Liu, W.; Yang, J.-Y.; Fu, X.-L.; et al. A novel long non-coding RNA ENST00000480739 suppresses tumour cell invasion by regulating OS-9 and HIF-1α in pancreatic ductal adenocarcinoma. Br. J. Cancer 2014, 111, 2131–2141. [Google Scholar] [CrossRef] [Green Version]
  175. Wang, Y.; Ding, X.; Hu, H.; He, Y.; Lu, Z.; Wu, P.; Tian, L.; Xia, T.; Yin, J.; Yuan, H.; et al. Long non-coding RNA lnc-PCTST predicts prognosis through inhibiting progression of pancreatic cancer by downregulation of TACC-3. Int. J. Cancer 2018, 143, 3143–3154. [Google Scholar] [CrossRef] [Green Version]
  176. Gao, H.; Gong, N.; Ma, Z.; Miao, X.; Chen, J.; Cao, Y.; Zhang, G. LncRNA ZEB2-AS1 promotes pancreatic cancer cell growth and invasion through regulating the miR-204/HMGB1 axis. Int. J. Biol. Macromol. 2018, 116, 545–551. [Google Scholar] [CrossRef]
  177. Martinelli, P.; Carrillo-de Santa Pau, E.; Cox, T.; Sainz, B., Jr.; Dusetti, N.; Greenhalf, W.; Rinaldi, L.; Costello, E.; Ghaneh, P.; Malats, N.; et al. GATA6 regulates EMT and tumour dissemination, and is a marker of response to adjuvant chemotherapy in pancreatic cancer. Gut 2017, 66, 1665–1676. [Google Scholar] [CrossRef] [Green Version]
  178. Patil, S.; Steuber, B.; Kopp, W.; Kari, V.; Urbach, L.; Wang, X.; Küffer, S.; Bohnenberger, H.; Spyropoulou, D.; Zhang, Z.; et al. EZH2 Regulates Pancreatic Cancer Subtype Identity and Tumor Progression via Transcriptional Repression of GATA6. Cancer Res. 2020, 80, 4620–4632. [Google Scholar] [CrossRef]
  179. Russell, R.; Perkhofer, L.; Liebau, S.; Lin, Q.; Lechel, A.; Feld, F.M.; Hessmann, E.; Gaedcke, J.; Güthle, M.; Zenke, M.; et al. Loss of ATM accelerates pancreatic cancer formation and epithelial–mesenchymal transition. Nat. Commun. 2015, 6, 7677. [Google Scholar] [CrossRef] [Green Version]
  180. Mody, H.R.; Hung, S.W.; Naidu, K.; Lee, H.; Gilbert, C.A.; Hoang, T.T.; Pathak, R.K.; Manoharan, R.; Muruganandan, S.; Govindarajan, R. SET contributes to the epithelial-mesenchymal transition of pancreatic cancer. Oncotarget 2017, 8, 67966–67979. [Google Scholar] [CrossRef]
  181. Wang, L.; Gu, F.; Ma, N.; Zhang, L.; Bian, J.-M.; Cao, H.-Y. CIP2A expression is associated with altered expression of epithelial–mesenchymal transition markers and predictive of poor prognosis in pancreatic ductal adenocarcinoma. Tumor Biol. 2013, 34, 2309–2313. [Google Scholar] [CrossRef]
  182. Kyuno, T.; Kohno, T.; Konno, T.; Yamaguchi, H.; Kyuno, D.; Imamura, M.; Kimura, Y.; Kojima, T.; Takemasa, I. Glucose-Dependent FOXM1 Promotes Epithelial-to-Mesenchymal Transition Via Cellular Metabolism and Targeting Snail in Human Pancreatic Cancer. Pancreas 2020, 49, 273–280. [Google Scholar] [CrossRef]
  183. Recouvreux, M.V.; Moldenhauer, M.R.; Galenkamp, K.M.; Jung, M.; James, B.; Zhang, Y.; Lowy, A.; Bagchi, A.; Commisso, C. Glutamine depletion regulates Slug to promote EMT and metastasis in pancreatic cancer. J. Exp. Med. 2020, 217, e20200388. [Google Scholar] [CrossRef]
  184. Wang, M.; Estrella, J.S.; Katz, M.H.; Kim, M.; Rashid, A.; Lee, J.E.; Maitra, A.; Wistuba, I.I.; Wolff, R.A.; Varadhachary, G.R.; et al. Expression of Epithelial-Mesenchymal Transition Markers in Treated Pancreatic Ductal Adenocarcinoma. Pancreas 2019, 48, 1367–1372. [Google Scholar] [CrossRef]
  185. El Amrani, M.; Corfiotti, F.; Corvaisier, M.; Vasseur, R.; Fulbert, M.; Skrzypczyk, C.; Deshorgues, A.; Gnemmi, V.; Tulasne, D.; Lahdaoui, F.; et al. Gemcitabine-induced epithelial-mesenchymal transition-like changes sustain chemoresistance of pancreatic cancer cells of mesenchymal-like phenotype. Mol. Carcinog. 2019, 58, 1985–1997. [Google Scholar] [CrossRef]
  186. Shah, A.N.; Summy, J.M.; Zhang, J.; Park, S.I.; Parikh, N.U.; Gallick, G.E. Development and Characterization of Gemcitabine-Resistant Pancreatic Tumor Cells. Ann. Surg. Oncol. 2007, 14, 3629–3637. [Google Scholar] [CrossRef]
  187. Porter, R.L.; Magnus, N.K.C.; Thapar, V.; Morris, R.; Szabolcs, A.; Neyaz, A.; Kulkarni, A.S.; Tai, E.; Chougule, A.; Hillis, A.; et al. Epithelial to mesenchymal plasticity and differential response to therapies in pancreatic ductal adenocarcinoma. Proc. Natl. Acad. Sci. USA 2019, 116, 26835–26845. [Google Scholar] [CrossRef] [Green Version]
  188. Tiriac, H.; Belleau, P.; Engle, D.D.; Plenker, D.; Deschênes, A.; Somerville, T.D.D.; Froeling, F.E.M.; Burkhart, R.A.; Denroche, R.E.; Jang, G.H.; et al. Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer. Cancer Discov. 2018, 8, 1112–1129. [Google Scholar] [CrossRef] [Green Version]
  189. Dagogo-Jack, I.; Shaw, A.T. Tumour heterogeneity and resistance to cancer therapies. Nat. Rev. Clin. Oncol. 2018, 15, 81–94. [Google Scholar] [CrossRef]
  190. Jing, N.; Gao, W.-Q.; Fang, Y.-X. Regulation of Formation, Stemness and Therapeutic Resistance of Cancer Stem Cells. Front. Cell Dev. Biol. 2021, 9, 641498. [Google Scholar] [CrossRef]
  191. Ercan, G.; Karlitepe, A.; Ozpolat, B. Pancreatic Cancer Stem Cells and Therapeutic Approaches. Anticancer Res. 2017, 37, 2761–2775. [Google Scholar] [CrossRef]
  192. Patil, K.; Khan, F.B.; Akhtar, S.; Ahmad, A.; Uddin, S. The plasticity of pancreatic cancer stem cells: Implications in therapeutic resistance. Cancer Metastasis Rev. 2021, 40, 691–720. [Google Scholar] [CrossRef] [PubMed]
  193. Purohit, V.; Wang, L.; Yang, H.; Li, J.; Ney, G.M.; Gumkowski, E.R.; Vaidya, A.J.; Wang, A.; Bhardwaj, A.; Zhao, E.; et al. ATDC binds to KEAP1 to drive NRF2-mediated tumorigenesis and chemoresistance in pancreatic cancer. Genes Dev. 2021, 35, 218–233. [Google Scholar] [CrossRef] [PubMed]
  194. Menegon, S.; Columbano, A.; Giordano, S. The Dual Roles of NRF2 in Cancer. Trends Mol. Med. 2016, 22, 578–593. [Google Scholar] [CrossRef] [PubMed]
  195. De La Vega, M.R.; Chapman, E.; Zhang, D.D. NRF2 and the Hallmarks of Cancer. Cancer Cell 2018, 34, 21–43. [Google Scholar] [CrossRef]
  196. Weadick, B.; Nayak, D.; Persaud, A.K.; Hung, S.W.; Raj, R.; Campbell, M.J.; Chen, W.; Li, J.; Williams, T.M.; Govindarajan, R. EMT-Induced Gemcitabine Resistance in Pancreatic Cancer Involves the Functional Loss of Equilibrative Nucleoside Transporter 1. Mol. Cancer Ther. 2021, 20, 410–422. [Google Scholar] [CrossRef]
  197. Dardare, J.; Witz, A.; Merlin, J.-L.; Bochnakian, A.; Toussaint, P.; Gilson, P.; Harlé, A. Epithelial to Mesenchymal Transition in Patients with Pancreatic Ductal Adenocarcinoma: State-of-the-Art and Therapeutic Opportunities. Pharmaceuticals 2021, 14, 740. [Google Scholar] [CrossRef]
  198. Melisi, D.; Garcia-Carbonero, R.; Macarulla, T.; Pezet, D.; Deplanque, G.; Fuchs, M.; Trojan, J.; Oettle, H.; Kozloff, M.; Cleverly, A.; et al. Galunisertib plus gemcitabine vs. gemcitabine for first-line treatment of patients with unresectable pancreatic cancer. Br. J. Cancer 2018, 119, 1208–1214. [Google Scholar] [CrossRef] [Green Version]
  199. Ikeda, M.; Takahashi, H.; Kondo, S.; Lahn, M.M.F.; Ogasawara, K.; Benhadji, K.A.; Fujii, H.; Ueno, H. Phase 1b study of galunisertib in combination with gemcitabine in Japanese patients with metastatic or locally advanced pancreatic cancer. Cancer Chemother. Pharmacol. 2017, 79, 1169–1177. [Google Scholar] [CrossRef]
  200. Kim, B.-G.; Malek, E.; Choi, S.H.; Ignatz-Hoover, J.J.; Driscoll, J.J. Novel therapies emerging in oncology to target the TGF-β pathway. J. Hematol. Oncol. 2021, 14, 1–20. [Google Scholar] [CrossRef]
  201. Li, H.; Xiao, H.; Lin, L.; Jou, D.; Kumari, V.; Lin, J.; Li, C. Drug Design Targeting Protein–Protein Interactions (PPIs) Using Multiple Ligand Simultaneous Docking (MLSD) and Drug Repositioning: Discovery of Raloxifene and Bazedoxifene as Novel Inhibitors of IL-6/GP130 Interface. J. Med. Chem. 2014, 57, 632–641. [Google Scholar] [CrossRef]
  202. De Jesus-Acosta, A.; Sugar, E.A.; O’Dwyer, P.J.; Ramanathan, R.K.; Von Hoff, D.D.; Rasheed, Z.; Zheng, L.; Begum, A.; Anders, R.; Maitra, A.; et al. Phase 2 study of vismodegib, a hedgehog inhibitor, combined with gemcitabine and nab-paclitaxel in patients with untreated metastatic pancreatic adenocarcinoma. Br. J. Cancer 2020, 122, 498–505. [Google Scholar] [CrossRef]
Figure 1. EMT and early dissemination. Activation of EMT in pre-cancerous lesions of pancreatic ductal adenocarcinoma is triggered by the inflammatory microenvironment. A number of cells within acinar-to-ductal metaplasia and Pancreatic Intraepithelial Neoplasia lesions undergo EMT. Some of the EMT-committed cells of PanIN delaminate from the ductal structures and invade the adjacent stroma, before the formation of an invasive tumor.
Figure 1. EMT and early dissemination. Activation of EMT in pre-cancerous lesions of pancreatic ductal adenocarcinoma is triggered by the inflammatory microenvironment. A number of cells within acinar-to-ductal metaplasia and Pancreatic Intraepithelial Neoplasia lesions undergo EMT. Some of the EMT-committed cells of PanIN delaminate from the ductal structures and invade the adjacent stroma, before the formation of an invasive tumor.
Cancers 13 05532 g001
Figure 2. Multiple signaling pathways and epigenetics factors, including histone methyltransferases, chromatin remodeling complexes, and noncoding-RNA molecules control EMT in PDAC. (a-SMA: alpha Smooth Muscle Actin, MMPs: Matrix Metalloproteinases, TIMPs: Tissue Inhibitors of Metalloproteinases).
Figure 2. Multiple signaling pathways and epigenetics factors, including histone methyltransferases, chromatin remodeling complexes, and noncoding-RNA molecules control EMT in PDAC. (a-SMA: alpha Smooth Muscle Actin, MMPs: Matrix Metalloproteinases, TIMPs: Tissue Inhibitors of Metalloproteinases).
Cancers 13 05532 g002
Figure 3. EMT and chemoresistance: Tumor cells undergoing EMT acquire a number of features associated with a cancer stem cell phenotype, which make them intrinsically tolerant to chemotherapy. They are therefore capable of surviving drug exposure and form a new tumor, leading to disease recurrence.
Figure 3. EMT and chemoresistance: Tumor cells undergoing EMT acquire a number of features associated with a cancer stem cell phenotype, which make them intrinsically tolerant to chemotherapy. They are therefore capable of surviving drug exposure and form a new tumor, leading to disease recurrence.
Cancers 13 05532 g003
Table 1. Signature genetic alterations in each step of the PDAC tumorigenesis process.
Table 1. Signature genetic alterations in each step of the PDAC tumorigenesis process.
Stage of TumorigenesisGene AffectedType of Genetic Alteration [References]
Acinar to Ductal MetaplasiaKRASConstitutive activation (upregulation):
gain-of-function mutation (KRAS 12GD) [15,16]
Low grade PanINCDKN2A (Ink4a/Arf)Inactivation (downregulation):
deletion, loss-of-function mutation
[15,16]
High grade PanINTP53Inactivation (downregulation):
loss-of-function mutation, deletion
[15,16]
SMAD4Inactivation (downregulation):
deletion, loss of function mutation
[15,16]
Table 2. Retrospective studies showing a statistically significant association between high grade tumor budding and reduced survival. HR: hazard ratio; RR: relative risk; CI: confidence interval.
Table 2. Retrospective studies showing a statistically significant association between high grade tumor budding and reduced survival. HR: hazard ratio; RR: relative risk; CI: confidence interval.
Study (Reference)Number of PatientsOverall SurvivalDisease Free Survival
Chouat et al. [59]50HR = 6.09 (95% CI 1.11–33.28), p = 0.03HR = 2,87 (95% CI 1.41–17.51), p = 0.02
Liu et al. [61]46p = 0.01p = 0.001
Karamitopoulou et al. [63]117HR = 3.98 (95% CI 2.3–6.9), p < 0.0001p = 0.0005
Lohnesi et al. [64]173HR  =  1.040 (95% CI 1.019–1.061), p < 0.001HR  =  1.037 (95% CI 1.017–1.058), p < 0.001
O’Connor et al. [65]613RR = 1.46 (95% CI 1.13–1.88), p = 0.004
HR = 2.65 (95% CI 1.79–3.91), p < 0.0001
RR = 1.61 (95% CI 1.05–2.47), p = 0.03
Table 3. Studies showing the expression levels of non-coding RNA molecules in PDAC patients compared to adjacent normal tissue and their correlation with prognosis. PDAC: pancreatic ductal adenocarcinoma; HR: hazard ratio; CI: confidence interval; NA: not available.
Table 3. Studies showing the expression levels of non-coding RNA molecules in PDAC patients compared to adjacent normal tissue and their correlation with prognosis. PDAC: pancreatic ductal adenocarcinoma; HR: hazard ratio; CI: confidence interval; NA: not available.
Study [Reference]Non-Coding RNA MoleculeNumber of PatientsResultsOSDFS
Hamada et al. [162]miR-1265Reduced levels in PDAC compared to adjacent normal tissue.NANA
Xu et al. [170]lnc-RNA DLEU178Increased levels in PDAC compared to adjacent normal tissue.
High levels correlate with worse OS.
p = 0.036
Feng et al. [171]lnc-RNA HULC36Increased levels in PDAC compared to adjacent normal tissue.NANA
Sun et al. [172]Lnc-RNA XIST30Increased levels in PDAC compared to adjacent normal tissue.NANA
Wang et al. [175]Lnc-RNA PCTST48Reduced levels in PDAC compared to adjacent normal tissue. High levels correlate with longer OS.HR = 0.11 (95% 0.02–0.49)
p = 0.004
NA
Gao et al. [176]Lnc-RNA Zeb2-AS139Increased levels in PDAC compared to adjacent normal tissue.
High levels correlate with worse OS and DFS.
p < 0.005p < 0.005
Table 4. Inhibitors and monoclonal antibodies targeting EMT, with different mechanisms of action, under clinical trials for PDAC.
Table 4. Inhibitors and monoclonal antibodies targeting EMT, with different mechanisms of action, under clinical trials for PDAC.
Drug NameMechanism of ActionClinical Trial PhaseNCT Registry Number
PF-06952229Inhibitor of TGF-b receptor (TGF-bRI)INCT03685591
BCA101Inhibitor of TGF-b/EGFR fusionINCT04429542
SHR-1701Inhibitor of TGF-b (ligand)Ib/IINCT04624217
NIS793mAb anti-TGF-b (ligand)INCT02947165
IINCT04390763
Vactosertib (TEW-7197)Inhibitor of TGF-bRI kinaseIbNCT03666832
IINCT04258072
Galunisertib (LY2157299)Inhibitor of TGF-bRI kinaseIbNCT02734160
IbNCT02154646
Ib/IINCT01373164
Trabedersen (AP 12009)Antisense oligonucleotide specific for TGF-bINCT00844064
TocilizumabmAb anti-IL6 receptorIINCT02767557
IINCT04258150
I/IINCT03193190
SiltuximabmAb anti-IL6I/IINCT00841191
Ib/IINCT04191421
BazedoxifeneSelective estrogen receptor modulator (SERM)-Inhibitor of IL-6/GP130-NCT04812808
Canakinumab (ACZ885)mAb anti IL-1bIbNCT04581343
LDE225Hedgehog inhibitionI/IINCT02358161
IbNCT01485744
NLM-001Hedgehog inhibitionIb/IIaNCT04827953
IPI-926Hedgehog inhibitionIb/IINCT01130142
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Palamaris, K.; Felekouras, E.; Sakellariou, S. Epithelial to Mesenchymal Transition: Key Regulator of Pancreatic Ductal Adenocarcinoma Progression and Chemoresistance. Cancers 2021, 13, 5532. https://doi.org/10.3390/cancers13215532

AMA Style

Palamaris K, Felekouras E, Sakellariou S. Epithelial to Mesenchymal Transition: Key Regulator of Pancreatic Ductal Adenocarcinoma Progression and Chemoresistance. Cancers. 2021; 13(21):5532. https://doi.org/10.3390/cancers13215532

Chicago/Turabian Style

Palamaris, Kostas, Evangelos Felekouras, and Stratigoula Sakellariou. 2021. "Epithelial to Mesenchymal Transition: Key Regulator of Pancreatic Ductal Adenocarcinoma Progression and Chemoresistance" Cancers 13, no. 21: 5532. https://doi.org/10.3390/cancers13215532

APA Style

Palamaris, K., Felekouras, E., & Sakellariou, S. (2021). Epithelial to Mesenchymal Transition: Key Regulator of Pancreatic Ductal Adenocarcinoma Progression and Chemoresistance. Cancers, 13(21), 5532. https://doi.org/10.3390/cancers13215532

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