Next Article in Journal
Lung Cancer Screening in Greece: A Modelling Study to Estimate the Impact on Lung Cancer Life Years
Next Article in Special Issue
Epigenetics in Pancreatic Ductal Adenocarcinoma: Impact on Biology and Utilization in Diagnostics and Treatment
Previous Article in Journal
Research Trend and Detailed Insights into the Molecular Mechanisms of Food Bioactive Compounds against Cancer: A Comprehensive Review with Special Emphasis on Probiotics
Previous Article in Special Issue
Anoikis-Associated Lung Cancer Metastasis: Mechanisms and Therapies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Role of Epithelial-to-Mesenchymal Transition for the Generation of Circulating Tumors Cells and Cancer Cell Dissemination

by
Gaetan Aime Noubissi Nzeteu
1,
Claudia Geismann
2,
Alexander Arlt
3,
Frederik J. H. Hoogwater
4,
Maarten W. Nijkamp
4,
N. Helge Meyer
1,* and
Maximilian Bockhorn
1
1
University Hospital of General and Visceral Surgery, Department of Human Medicine, University of Oldenburg and Klinikum Oldenburg, 26129 Oldenburg, Germany
2
Laboratory of Molecular Gastroenterology & Hepatology, Department of Internal Medicine I, UKSH-Campus Kiel, 24118 Kiel, Germany
3
Department for Gastroenterology and Hepatology, University Hospital Oldenburg, Klinikum Oldenburg AöR, European Medical School (EMS), 26133 Oldenburg, Germany
4
Section of HPB Surgery & Liver Transplantation, Department of Surgery, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(22), 5483; https://doi.org/10.3390/cancers14225483
Submission received: 28 September 2022 / Revised: 24 October 2022 / Accepted: 2 November 2022 / Published: 8 November 2022
(This article belongs to the Special Issue Metastasis and Tumor Cell Migration of Solid Tumors)

Abstract

:

Simple Summary

It is well established that CTCs play an important role in tumor diagnostics and prognosis; this review outlines the mechanisms responsible for their generation, their roles in cancer dissemination and metastasis, and their clinical applications in precision medicine.

Abstract

Tumor-related death is primarily caused by metastasis; consequently, understanding, preventing, and treating metastasis is essential to improving clinical outcomes. Metastasis is mainly governed by the dissemination of tumor cells in the systemic circulation: so-called circulating tumor cells (CTCs). CTCs typically arise from epithelial tumor cells that undergo epithelial-to-mesenchymal transition (EMT), resulting in the loss of cell–cell adhesions and polarity, and the reorganization of the cytoskeleton. Various oncogenic factors can induce EMT, among them the transforming growth factor (TGF)-β, as well as Wnt and Notch signaling pathways. This entails the activation of numerous transcription factors, including ZEB, TWIST, and Snail proteins, acting as transcriptional repressors of epithelial markers, such as E-cadherin and inducers of mesenchymal markers such as vimentin. These genetic and phenotypic changes ultimately facilitate cancer cell migration. However, to successfully form distant metastases, CTCs must primarily withstand the hostile environment of circulation. This includes adaption to shear stress, avoiding being trapped by coagulation and surviving attacks of the immune system. Several applications of CTCs, from cancer diagnosis and screening to monitoring and even guided therapy, seek their way into clinical practice. This review describes the process leading to tumor metastasis, from the generation of CTCs in primary tumors to their dissemination into distant organs, as well as the importance of subtyping CTCs to improve personalized and targeted cancer therapy.

1. Introduction

Metastasis, i.e., the spread of cancer cells from their site of origin to distant tissues or organs, is the leading cause of death in almost all solid cancers [1]. However, the cellular and molecular mechanisms that promote tumor cell metastasis are not fully understood. The formation of metastases is mainly driven by the dissemination of cancer cells that are shed from the primary tumor intravasate and circulate in the bloodstream—so-called circulating tumor cells (CTCs). Consequently, CTCs have to resist blood pressure and defend against patrolling immune cells. Thus, extravasation tumor cells have to adapt to the cellular environment of the tissue or organ of the colonization site. Transformation into CTCs requires a number of biochemical and cellular changes that facilitate migration, invasion, resistance to apoptosis, and the modulation of extracellular matrix (ECM) production [2]. During epithelial-to-mesenchymal transition (EMT), ECM is reorganized in such a way that epithelial cells lose cell–cell as well as cell–matrix contacts. Cell adhesion molecules, particularly E-cadherin, which significantly contributes to the epithelial cell junction and apico-basal polarization [3,4,5], are downregulated. Conversely, vimentin, fibronectin, and N-cadherin are upregulated, fostering the transition into a motility state. Overall, cells lose epithelial characteristics while progressively adopting a quasi-mesenchymal phenotype. This cellular program typically is fully reversible and mesenchymal-to-epithelial transition (MET) allows CTCs to regain their initial epithelial phenotype that is required for metastasis formation [5]. In conclusion, EMT and MET—originally implicated in embryogenesis and adult wound healing—play crucial roles in metastatic dissemination by CTCs [6]. Furthermore, EMT is critical for the acquisition of cancer stem cell (CSC)-like properties including self-renewal, resistance to apoptosis, tumor progression, and metastasis. This may result in the generation of cancer cell progenitors with strong drug resistance, e.g., via the expression of membrane protein transporters such as the ATP-binding cassette [7,8].
This review discusses current advances in the understanding of the EMT/MET of CTCs with regard to cancer diagnosis, prognosis, and therapy as well as their potential application in precision medicine

2. Molecular Basis of Epithelial-to-Mesenchymal Transition in the Generation of Circulating Tumors Cells

The presence of CTCs in the bloodstream, either as individual cells or cell clusters, is regarded as an early sign of cancer progression. Particularly, it was found that clusters of CTCs display elevated hypomethylation on transcription factor binding sites, involved in stemness, proliferation, and cell adhesion, all of which were also implicated in EMT [9]. EMT is an evolutionary conserved developmental program involved in gastrulation, mesodermal development, and neural crest formation. Furthermore, it is essential for tissue regeneration, fibrosis, and wound healing. In solid cancers, EMT is critical for the generation of CTCs and the progression and metastasis of tumors [10,11]. It is tightly regulated by multiple signaling pathways, including stem cell factor (SCF), platelet-derived growth factor (PDGF), vascular endothelial-derived growth factor (VEGF), epidermal growth factor (EGF), hepatocyte growth factor (HGF), fibroblast growth factors (FGF), bone morphogenetic proteins (BMPs), transforming growth factor (TGF)-β, hypoxia-inducible factor 1-α (HIF1α), Wnt, and Notch signaling. Particularly, cancer-associated fibroblasts (CAFs) that predominantly accumulate in the stroma of the tumor microenvironment (TME) of gastric (GC), pancreatic (PC), and hepatic cancers stimulate the EMT of cancer cells via interleukin-6 and TGF-β1 secretion. Through the release of cytokines and growth factors, CAFs also significantly contribute to ECM synthesis and remodeling, which play a key role in tumor cell dissemination. In addition, CAFs stimulate angiogenesis and tumor cell proliferation [12,13,14]. The generation of CTCs is then governed by several transcription factors which directly or indirectly regulate EMT, namely, the twist basic helix–loop–helix transcription factor 1 (TWIST1), the Snail homologs Snail 1 and 2, and zinc finger E-box binding homeobox (ZEB) 1 and 2 [3,15]. These EMT-associated transcription factors (EMT-TFs), also regarded as master regulators of EMT, promote the repression of the epithelial markers E-cadherin, RKIP, mucin-1, claudin, occludin, and PTEN, while inducing the expression of the mesenchymal markers N-cadherin, vitronectin, vimentin, and various matrix metalloproteases (MMPs) [8,16].

3. Role of Circulating Tumors Cells with Cancer Stem Cell Properties in Metastasis

Similar to cells of the primary tumor, CTCs are extremely heterogeneous and contain phenotypically and genetically distinct subpopulations including epithelial cells (E-CTCs), epithelial-to-mesenchymal transition cells (EMT-CTCs), hybrid epithelial/mesenchymal cells (EM-CTCs), mesenchymal cells (M-CTCs) and CTCs with stem-cell like properties, termed circulating tumor stem-like cells (CTSCs) [17]. The majority of CTCs, however, cannot survive in the bloodstream and are unable to seed metastases, suggesting that metastatic colonization is a remarkably inefficient process [18]. CTSCs are irregular cells whose phenotype may vary between cancer subtypes and even within the same type of cancer [19]. Owing to their CSC-like properties, CTSCs can escape anoikis [20], are more likely to survive in the bloodstream, and spread metastatically. As they also tend to be more resistant to conventional therapeutic strategies, they are associated with cancer relapse [21]. It is now widely accepted that CTSCs are involved in tumor development, metastasis, and the therapy resistance of solid cancers, including GC, BC, CRC, hepatocellular carcinoma (HCC) and PC. Furthermore, CTSCs and CTCs have been used to diagnose and predict patient outcomes [22,23,24].
Metastasis requires tumor cells to go through a series of events, namely, invasion, intravasation, surviving bloodstream circulation, extravasation, and colonization, commonly referred to as metastatic cascade (Figure 1).

3.1. Metastatic Cascade

3.1.1. Invasion and Intravasation

The metastatic cascade starts with the invasion of the tumor into the surrounding tissue. Via EMT, epithelial tumor cells can acquire a more invasive, stem-cell-like phenotype allowing them to detach from the primary tumor. The elevated release of MMPs leads to a modulation of ECM and further facilitates invasion [19]. The production of proangiogenic factors such as VEGF promotes angiogenesis. Additionally, CSCs can transdifferentiate into endothelial cells to support the formation of blood vessels [25]. It was shown that endothelial cells in glioblastoma, a highly angiogenic malignancy, shared approximately 60% of their genomic alterations with tumor cells, suggesting that the vascular endothelium originated from the neoplasia. Indeed, it was found that a subcutaneous injection of freshly isolated CD133+/CD31 glioblastoma stem-like cells resulted in human CD31 expression, an endothelial marker, in xenograft tumor tissues of mice [26]. The transdifferentiation of glioblastoma stem-like cells into endothelial-like cells was also confirmed in vitro [27].
Pericytes are multi-functional mural cells of the microcirculation and overexpress the transmembrane receptor endosialin. Thereby, these cells promote cell–cell contact with tumor cells and foster their migration through the endothelium. In the TME, pericytes are also the main source of IL33, and thus responsible for recruiting tumor-associated macrophages (TAMs) via the IL33-ST2 signaling pathways [28,29]. Moreover, monocytes recruited by CCR2 signaling can differentiate into TAMs. CXCL12 released by perivascular fibroblasts facilitates the co-migration of tumor cells and TAMs into blood vessels. The differentiation of TAMs into perivascular macrophages stimulates vascular leakage, further promoting intravasation [30].

3.1.2. Surviving Bloodstream Circulation

After intravasation, CTCs face a hostile environment that poses both physical and biological threats [31]. Above all, circulating in the bloodstream subjects cells to shear stress. As CTCs are poorly adapted to this kind of mechanical force [32], most of them will be directly destroyed or enter apoptosis. Additionally, CTCs have to withstand the constant attacks of immune cells. The interplay of internal and external factors critically determines whether a cell can survive in the bloodstream. Internal factors include genetic alterations and the abnormal gene expression of, e.g., immunomodulatory factors and apoptosis inhibitory factors such as survivin or stem cell-like characteristics. External factors involve immune cells, cytokines, platelets, and circulating tumor microemboli that may protect CTCs from cellular stress. Among others, tissue hypoxia and autophagy may also impact cell survival [33]. CTCs can undermine immunological clearance through several different strategies. They often overexpress immunosuppressive proteins such as the immune checkpoint PD-L1, e.g., in BC, esophageal cancer, CRC, and PC [34,35]. The immune checkpoint V-domain Ig suppressor of T-cell activation (VISTA) is upregulated in lymphocytes from metastatic melanoma patients, suggesting that VISTA might be implicated in metastasis [36]. In addition, VISTA was highly expressed in advanced stages of ovarian cancer and particularly dominant in lymph node metastases. Recently, it has been shown that VISTA inhibits T-cell effector functions and the release of IL2 from CD4+ T cells by suppressing granzyme B release from cytotoxic T cells [37,38]. Moreover, platelets seem to have a significant role in the immune evasion of CTCs, as these cells attract platelets by the expression of coagulation factors, for instance, thromboplastin. Being fully covered with platelets protects CTCs from NK and other immune cells and reduces the shear stress on CTCs [39,40]. Platelet-derived TGF-β and direct platelet–tumor cell contact activates the TGF-β/Smad and NF-κB pathways in a synergistic manner, which promotes the acquisition of a mesenchymal-like phenotype [41]. Furthermore, CD47 expressed on the surface of CTCs inhibits the interaction with macrophage-expressed signal-regulating protein alpha (SIRPα) and subverts the phagocytic machinery [42,43]

3.1.3. Extravasation and Colonization

The small number of CTCs that are able to withstand blood circulation can eventually settle in a distant organ after extravasation [44]. In 1889, Paget shaped the seed and soil hypothesis, according to which CTCs and the host organ must have a certain degree of compatibility to allow for the formation of metastases [45]. Albeit challenged over the last century, Paget’s theory seems to be supported by recent research on the mechanisms of metastatic diseases. However, the initial theory has been extended by the concept of pre-metastatic niche formation: prior to the dissemination of tumor cells, the primary tumor can induce the formation of a supportive and receptive tissue microenvironment via the production of tumor-derived secreted factors VEGF-A, tumor necrosis factor α (TNF-α) and TGF-β. As a result of this preparation, tumor cells settle more effectively owing to an accumulation of compromised immune cells and ECM [46]. Some solid cancers have preferred organs for metastasis, e.g., PC prefers to metastasize to the liver and peritoneum, with more than 40% preference for those organs and about 13% preference for the lung. CRC and GC are even more inclined to metastasize to the liver with about 70% and 48%, respectively, making the liver the most common organ for those solid cancers to metastasize [47,48,49]. Prior to extravasation, CTCs adhere to the endothelium via CD44, integrin β1, integrin αvβ3, and α5β1 [19,50]. CTCs release glycocalyx that enhances integrin binding in order to promote intravascular adhesion and extravasation [51]. It has been demonstrated that metastatic colonies originate from intravascular tumor cells [52], which in the last step of the metastatic cascade, the extravasation, migrate through the endothelium of the blood vessel and colonize the pre-metastatic niche [44]. In addition, exosomes, which facilitate the communication of primary tumor cells with the microenvironment of distant organs, are implicated in pre-metastatic niche formation [53]. A role of exosomes as a key factor for the (epigenetic) reprogramming of cells in targeted organs has been reviewed elsewhere [54]. It seems likely that CTCs need to acquire stem cell-like properties for successful colonization. Recently, cellular and transcriptomic changes were observed during in vivo metastasis formation in a clonal outgrowth model of patient-derived CRC organoids in mice. Peculiarly, micrometastatic lesions were devoid of CSCs, but on the other hand, de novo CSCs were indeed present in overt metastases [55]. After extravasation, metastatic colonization is further stimulated by MET, which triggers the re-expression of E-cadherin and the downregulation of Prrx1, which subsequently decreases Snail 1 expression and leads to the re-acquisition of an epithelial phenotype and epithelial morphology [56,57].

4. Clinical Applications of CTC Enumeration and CTC Subtyping

CTCs have been extensively studied as clinical biomarkers in cancer diagnostics and suggested as a predictive marker, including the prediction of metastasis and the prognosis of PC, GC, CRC, BC, and esophageal cancer [58,59]. The presence of CTCs before surgery was significantly related to poor overall and shorter recurrence-free survival, as well as higher disease recurrence rates in patients with non-metastatic CRC [60]. CTC counts at baseline and during therapy for advanced gastric and esogastric cancer were useful in predicting the therapeutic effectiveness. The presence of CTCs in patients with esophageal cancer was closely linked to shorter overall and relapse-free survival [59,61]. In PC, it was observed that patients with CTCs detected in the portal vein were more likely to develop liver metastases after surgery than patients with CTCs detected in the peripheral blood. CTCs also predict early distant metastasis and impaired survival in resected PC [62,63]. In patients with HCC, microvascular invasion is significantly associated with CTC numbers in the systemic circulation [64]. Overall, in addition to being used in cancer diagnosis and prognosis, CTCs can also be used to monitor therapeutic response and to predict therapy success [65].
However, CTCs are difficult to detect and analyze, particularly due to their genetic and phenotypic heterogeneity and their scarcity in blood samples. Whole blood can contain less than 100 and sometimes even less than 10 clusters of CTCs per 107 leukocytes and 500 × 107 erythrocytes [66,67]. Despite being a rare event, CTCs offer great potential in liquid biopsy, which allows safe, inexpensive, and reproducible sampling as an alternative to invasive biopsy [68]. In clinical applications, CellSearch (Menarini Silicon Biosystems, Bologna, Italy) is the most commonly used platform for the isolation and enrichment of CTCs. In 2004, CellSearch was cleared by the FDA for the detection and enumeration of CTCs as a predictor of progression-free survival in BC. Furthermore, it was approved to detect prostate cancer, CRC, and BC [69], and has shown clinical relevance for many other cancers including HCC, PC, and GC [62,70,71,72].
CellSearch is based on the immunomagnetic enrichment of EpCAM+ CTCs from blood samples. CTC identification relies on cell morphology and the immunofluorescence staining of cytokeratin (CK), whereas CD45, commonly expressed on blood leukocytes, is used as a negative marker [73]. According to the manufacturer’s protocol, a CTC is defined as CK+ and CD45−, has a visible nucleus, and is morphologically round to oval [74]. To date, a variety of different CTC detection platforms are commercially available, many of which still rely on EpCAM-dependent CTC enrichment (Table 1). Historically, epithelial cell markers have been utilized for CTC detection, as epithelial cells are typically absent in the bloodstream of a healthy individual [72]. However, this strategy comes with a severe drawback: lack of or reduced EpCAM expression has been found in the CTCs of various cancers including PC, and the number of E-CTCs does not always correlate with clinical parameters [75]. In patient-derived xenograft models for breast, liver, prostate, and lung cancer, variable EpCAM expression has been detected [76]. Moreover, a study confirmed the presence of EpCAM- and EpCAMlow CTCs in metastatic LC that were disregarded by the CellSearch platform. Considering the CTCs found in the CellSearch waste, the percentage of patient samples with ≥1 CTC in 7.5 mL of blood increased from 41% to 74% [77]. Consequently, more and more techniques are developed that allow the marker-independent isolation of CTCs and are commercially available (Table 1). These isolation strategies opened up a whole new avenue for novel CTC detection markers.
As EMT plays a major role in the intravasation of CTCs and their metastatic capability in circulation, the analysis of CTC subtypes bares great potential to reveal the molecular mechanisms underlying metastasis formation and promote the development of novel diagnostic and therapeutic approaches. The analysis of surface markers on subpopulations of tumor cells that undergo spontaneous EMT in a genetic mouse model of skin squamous cell carcinoma revealed different EMT transition states, including hybrid states, corresponding to tumor cells exhibiting both epithelial and mesenchymal characteristics [100]. It is now well established that EMT occurs through distinct intermediates, referred to as E/M or partial EMT states, in vivo [101,102]. In a recent study, the clinical relevance of three different CTC subtypes (Figure 2)—E-CTCs, M-CTCs, and E/M-CTCs—were evaluated in PC patients using CanPatrol [103]. Particularly, the presence of M-CTCs was significantly associated with aggressive disease, distant metastasis, and tumor node metastasis (TNM) stage [103]. In a similar study, CTCs from the blood of PC patients were analyzed and phenotypically categorized using dielectrophoresis flow fractionation in combination with Imagestream flow cytometry. In addition to E-CTCs, E/M-CTCs—referred to as partial (p)EMT-CTCs—and M-CTCs subtypes, a CTSC subtype was also identified. Peculiarly, the most prevalent subpopulation in PC was pEMT-CTCs, which were associated with overt metastases and early recurrence after resection [104].
Considering the EMT-dependent formation of CTCs in PC as well as other solid cancers, therapeutically targeting EMT in the TME seems well justified. EMT has been successfully targeted in vitro, either directly or indirectly. Blocking the PI3K/Akt signaling pathway has been shown to suppress EMT in an HCC cell line via the Snail/GSK-3/beta-catenin pathway [105]. Forkhead box protein C2 (FOXC2) is an essential factor for the initiation and maintenance of EMT. Consequently, MC-1-F2, a FOXC2 inhibitor, induced cadherin switching and reverse EMT, decreasing the migration and invasion of a BC cell line [106]. Strategies to therapeutically target EMT in cancer have been comprehensively discussed elsewhere [107,108,109]. Intriguingly, various druggable EMT targets are upregulated on CTCs. The receptor-like tyrosine kinase-like orphan receptor 1 (ROR1) is an embryonic protein that plays an important role in cell proliferation, differentiation, and angiogenesis, but is also overexpressed in cancer and induces tumor migration and metastasis. In BC cell lines, ROR1 was successfully targeted to attenuate EMT. Additionally, BC adenocarcinomas expressing high levels of ROR1 had a higher chance to display gene expression signatures related to EMT [110]. Interestingly, ROR1 was elevated in CTCs of PC patients, promoting their proliferative and invasive capacity [111]. Promising results have also been obtained targeting the mesenchymal–epithelial transition factor c-Met, a receptor tyrosine kinase that is often overexpressed in metastatic non-small cell lung cancer (NSCLS). Consequently, the c-Met inhibitor savolitinib has been conditionally approved in China for the treatment of metastatic NSCLC. Additionally, a phase II study is also being conducted on savolitinib to treat GC and papillary renal cell carcinoma (NCT04923932) [112]. Interestingly, c-Met has also been suggested as a marker for CTC isolation [113]. Furthermore, the metastatic spread has been found to be associated with an upregulation of the mitotic and apoptotic transcription factor survivin (BIRC5) on CTCs. Consequently, pharmacologic inhibition of survivin with YM155 or survivin knockdown triggered cell death and anoikis in tumor organoid models. Thus, survivin may facilitate the survival of CTCs in the circulation. [114,115]. Overall, these observations suggest that beyond CTC enumeration as a mere diagnostic, prognostic, or predictive tool, targeting CTCs bares an unused therapeutical potential and could thereby substantially increase the effectivity of cancer therapy.

5. Conclusions

Metastasis and tumor formation are largely influenced by EMT. During EMT, epithelial cells are transformed into mesenchymal cells that can also acquire stem cell-like properties, have increased motility and invasiveness, and display resistance to multiple therapeutic strategies. CTCs generated by EMT represent a reservoir source of information essential to cancer diagnostic, therapeutic, and precision medicine. However, in many cancer patients, CTC counts in the peripheral blood range from only 1 to 10 cells per 10 mL, which makes an analysis of these cells extremely challenging. Since most of the CTC detection systems are based on EpCAM, a marker on the epithelial cell surface that is decreased during EMT, new methods are being explored to detect and enrich CTCs. Furthermore, heterogeneity is another challenge for liquid biopsy. Forthcoming studies should carefully adjust clinical criteria to account for CTC heterogeneity.
Overall, it is possible to decrease cancer mortality by developing new technology to identify the most aggressive subsets of CTCs and by optimizing the analytical sensitivity of the method of choice. Early elimination of these CTCs offers a novel strategy to overcome metastatic disease.

Author Contributions

Conceptualization, N.H.M. and G.A.N.N.; writing—original draft preparation, N.H.M. and G.A.N.N.; writing—review and editing, all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partly supported by the Deutsche Forschungsgemeinschaft (DFG, German Research. Foundation, AR381/11-1 to AA).

Acknowledgments

Figure 1 was partly generated using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 unsupported license.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

  1. Klein, C.A. Cancer progression and the invisible phase of metastatic colonization. Nat. Rev. Cancer 2020, 20, 681–694. [Google Scholar] [CrossRef] [PubMed]
  2. Kalluri, R.; Weinberg, R.A. The basics of epithelial-mesenchymal transition. J. Clin. Investig. 2009, 119, 1420–1428. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Goulet, C.R.; Champagne, A.; Bernard, G.; Vandal, D.; Chabaud, S.; Pouliot, F.; Bolduc, S. Cancer-associated fibroblasts induce epithelial-mesenchymal transition of bladder cancer cells through paracrine IL-6 signalling. BMC Cancer 2019, 19, 137. [Google Scholar] [CrossRef] [Green Version]
  4. Luu, T. Epithelial-Mesenchymal Transition and Its Regulation Mechanisms in Pancreatic Cancer. Front. Oncol. 2021, 11, 646399. [Google Scholar] [CrossRef] [PubMed]
  5. Dongre, A.; Weinberg, R.A. New insights into the mechanisms of epithelial-mesenchymal transition and implications for cancer. Nat. Rev. Mol. Cell Biol. 2019, 20, 69–84. [Google Scholar] [CrossRef] [PubMed]
  6. Lai, X.; Li, Q.; Wu, F.; Lin, J.; Chen, J.; Zheng, H.; Guo, L. Epithelial-Mesenchymal Transition and Metabolic Switching in Cancer: Lessons From Somatic Cell Reprogramming. Front. Cell Dev. Biol. 2020, 8, 760. [Google Scholar] [CrossRef]
  7. Jonckheere, S.; Adams, J.; de Groote, D.; Campbell, K.; Berx, G.; Goossens, S. Epithelial-Mesenchymal Transition (EMT) as a Therapeutic Target. Cells Tissues Organs 2022, 211, 157–182. [Google Scholar] [CrossRef]
  8. Sung, W.J.; Kim, H.; Park, K.K. The biological role of epithelial-mesenchymal transition in lung cancer (Review). Oncol. Rep. 2016, 36, 1199–1206. [Google Scholar] [CrossRef] [Green Version]
  9. Gkountela, S.; Castro-Giner, F.; Szczerba, B.M.; Vetter, M.; Landin, J.; Scherrer, R.; Krol, I.; Scheidmann, M.C.; Beisel, C.; Stirnimann, C.U.; et al. Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seeding. Cell 2019, 176, 98–112.e114. [Google Scholar] [CrossRef] [Green Version]
  10. Kolbl, A.C.; Jeschke, U.; Andergassen, U. The Significance of Epithelial-to-Mesenchymal Transition for Circulating Tumor Cells. Int. J. Mol. Sci. 2016, 17, 1308. [Google Scholar] [CrossRef]
  11. Chen, T.; You, Y.; Jiang, H.; Wang, Z.Z. Epithelial-mesenchymal transition (EMT): A biological process in the development, stem cell differentiation, and tumorigenesis. J. Cell. Physiol. 2017, 232, 3261–3272. [Google Scholar] [CrossRef]
  12. Monteran, L.; Erez, N. The Dark Side of Fibroblasts: Cancer-Associated Fibroblasts as Mediators of Immunosuppression in the Tumor Microenvironment. Front. Immunol. 2019, 10, 1835. [Google Scholar] [CrossRef] [Green Version]
  13. Xu, G.; Zhang, B.; Ye, J.; Cao, S.; Shi, J.; Zhao, Y.; Wang, Y.; Sang, J.; Yao, Y.; Guan, W.; et al. Exosomal miRNA-139 in cancer-associated fibroblasts inhibits gastric cancer progression by repressing MMP11 expression. Int. J. Biol. Sci. 2019, 15, 2320–2329. [Google Scholar] [CrossRef]
  14. Sebastian, A.; Hum, N.R.; Martin, K.A.; Gilmore, S.F.; Peran, I.; Byers, S.W.; Wheeler, E.K.; Coleman, M.A.; Loots, G.G. Single-Cell Transcriptomic Analysis of Tumor-Derived Fibroblasts and Normal Tissue-Resident Fibroblasts Reveals Fibroblast Heterogeneity in Breast Cancer. Cancers 2020, 12, 1307. [Google Scholar] [CrossRef]
  15. Chou, Y.S.; Yang, M.H. Epithelial-mesenchymal transition-related factors in solid tumor and hematological malignancy. J. Chin. Med. Assoc. 2015, 78, 438–445. [Google Scholar] [CrossRef] [Green Version]
  16. Debnath, P.; Huirem, R.S.; Dutta, P.; Palchaudhuri, S. Epithelial-mesenchymal transition and its transcription factors. Biosci. Rep. 2022, 42. [Google Scholar] [CrossRef]
  17. Grover, P.K.; Cummins, A.G.; Price, T.J.; Roberts-Thomson, I.C.; Hardingham, J.E. Circulating tumour cells: The evolving concept and the inadequacy of their enrichment by EpCAM-based methodology for basic and clinical cancer research. Ann. Oncol. 2014, 25, 1506–1516. [Google Scholar] [CrossRef]
  18. Massague, J.; Obenauf, A.C. Metastatic colonization by circulating tumour cells. Nature 2016, 529, 298–306. [Google Scholar] [CrossRef] [Green Version]
  19. Steinbichler, T.B.; Savic, D.; Dudas, J.; Kvitsaridze, I.; Skvortsov, S.; Riechelmann, H.; Skvortsova, I.I. Cancer stem cells and their unique role in metastatic spread. Semin. Cancer Biol. 2020, 60, 148–156. [Google Scholar] [CrossRef]
  20. Malagobadan, S.; Nagoor, N.H. Anoikis. In Encyclopedia of Cancer (Third Edition); Boffetta, P., Hainaut, P., Eds.; Academic Press: Oxford, UK, 2019; pp. 75–84. [Google Scholar]
  21. Yang, M.H.; Imrali, A.; Heeschen, C. Circulating cancer stem cells: The importance to select. Chin. J. Cancer Res. 2015, 27, 437–449. [Google Scholar] [CrossRef]
  22. Chang, J.C. Cancer stem cells: Role in tumor growth, recurrence, metastasis, and treatment resistance. Medicine 2016, 95, S20–S25. [Google Scholar] [CrossRef] [PubMed]
  23. Guo, W.; Sun, Y.F.; Shen, M.N.; Ma, X.L.; Wu, J.; Zhang, C.Y.; Zhou, Y.; Xu, Y.; Hu, B.; Zhang, M.; et al. Circulating Tumor Cells with Stem-Like Phenotypes for Diagnosis, Prognosis, and Therapeutic Response Evaluation in Hepatocellular Carcinoma. Clin. Cancer Res. 2018, 24, 2203–2213. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Toloudi, M.; Apostolou, P.; Chatziioannou, M.; Papasotiriou, I. Correlation between Cancer Stem Cells and Circulating Tumor Cells and Their Value. Case Rep. Oncol. 2011, 4, 44–54. [Google Scholar] [CrossRef] [PubMed]
  25. Lizarraga-Verdugo, E.; Avendano-Felix, M.; Bermudez, M.; Ramos-Payan, R.; Perez-Plasencia, C.; Aguilar-Medina, M. Cancer Stem Cells and Its Role in Angiogenesis and Vasculogenic Mimicry in Gastrointestinal Cancers. Front. Oncol. 2020, 10, 413. [Google Scholar] [CrossRef]
  26. Ricci-Vitiani, L.; Pallini, R.; Biffoni, M.; Todaro, M.; Invernici, G.; Cenci, T.; Maira, G.; Parati, E.A.; Stassi, G.; Larocca, L.M.; et al. Tumour vascularization via endothelial differentiation of glioblastoma stem-like cells. Nature 2010, 468, 824–828. [Google Scholar] [CrossRef]
  27. Wang, R.; Chadalavada, K.; Wilshire, J.; Kowalik, U.; Hovinga, K.E.; Geber, A.; Fligelman, B.; Leversha, M.; Brennan, C.; Tabar, V. Glioblastoma stem-like cells give rise to tumour endothelium. Nature 2010, 468, 829–833. [Google Scholar] [CrossRef]
  28. Viski, C.; Konig, C.; Kijewska, M.; Mogler, C.; Isacke, C.M.; Augustin, H.G. Endosialin-Expressing Pericytes Promote Metastatic Dissemination. Cancer Res. 2016, 76, 5313–5325. [Google Scholar] [CrossRef] [Green Version]
  29. Yang, Y.; Andersson, P.; Hosaka, K.; Zhang, Y.; Cao, R.; Iwamoto, H.; Yang, X.; Nakamura, M.; Wang, J.; Zhuang, R.; et al. The PDGF-BB-SOX7 axis-modulated IL-33 in pericytes and stromal cells promotes metastasis through tumour-associated macrophages. Nat. Commun. 2016, 7, 11385. [Google Scholar] [CrossRef] [Green Version]
  30. Arwert, E.N.; Harney, A.S.; Entenberg, D.; Wang, Y.; Sahai, E.; Pollard, J.W.; Condeelis, J.S. A Unidirectional Transition from Migratory to Perivascular Macrophage Is Required for Tumor Cell Intravasation. Cell Rep. 2018, 23, 1239–1248. [Google Scholar] [CrossRef] [Green Version]
  31. Heeke, S.; Mograbi, B.; Alix-Panabieres, C.; Hofman, P. Never Travel Alone: The Crosstalk of Circulating Tumor Cells and the Blood Microenvironment. Cells 2019, 8, 714. [Google Scholar] [CrossRef]
  32. Shaw Bagnall, J.; Byun, S.; Begum, S.; Miyamoto, D.T.; Hecht, V.C.; Maheswaran, S.; Stott, S.L.; Toner, M.; Hynes, R.O.; Manalis, S.R. Deformability of Tumor Cells versus Blood Cells. Sci. Rep. 2015, 5, 18542. [Google Scholar] [CrossRef] [Green Version]
  33. Wang, W.C.; Zhang, X.F.; Peng, J.; Li, X.F.; Wang, A.L.; Bie, Y.Q.; Shi, L.H.; Lin, M.B.; Zhang, X.F. Survival Mechanisms and Influence Factors of Circulating Tumor Cells. Biomed. Res. Int. 2018, 2018, 6304701. [Google Scholar] [CrossRef]
  34. Mazel, M.; Jacot, W.; Pantel, K.; Bartkowiak, K.; Topart, D.; Cayrefourcq, L.; Rossille, D.; Maudelonde, T.; Fest, T.; Alix-Panabieres, C. Frequent expression of PD-L1 on circulating breast cancer cells. Mol. Oncol. 2015, 9, 1773–1782. [Google Scholar] [CrossRef] [Green Version]
  35. Tan, Z.; Yue, C.; Ji, S.; Zhao, C.; Jia, R.; Zhang, Y.; Liu, R.; Li, D.; Yu, Q.; Li, P.; et al. Assessment of PD-L1 Expression on Circulating Tumor Cells for Predicting Clinical Outcomes in Patients with Cancer Receiving PD-1/PD-L1 Blockade Therapies. Oncologist 2021, 26, e2227–e2238. [Google Scholar] [CrossRef]
  36. Kakavand, H.; Jackett, L.A.; Menzies, A.M.; Gide, T.N.; Carlino, M.S.; Saw, R.P.M.; Thompson, J.F.; Wilmott, J.S.; Long, G.V.; Scolyer, R.A. Negative immune checkpoint regulation by VISTA: A mechanism of acquired resistance to anti-PD-1 therapy in metastatic melanoma patients. Mod. Pathol. 2017, 30, 1666–1676. [Google Scholar] [CrossRef]
  37. Liao, H.; Zhu, H.; Liu, S.; Wang, H. Expression of V-domain immunoglobulin suppressor of T cell activation is associated with the advanced stage and presence of lymph node metastasis in ovarian cancer. Oncol. Lett. 2018, 16, 3465–3472. [Google Scholar] [CrossRef] [Green Version]
  38. Noubissi Nzeteu, G.A.; Schlichtner, S.; David, S.; Ruppenstein, A.; Fasler-Kan, E.; Raap, U.; Sumbayev, V.V.; Gibbs, B.F.; Meyer, N.H. Macrophage Differentiation and Polarization Regulate the Release of the Immune Checkpoint Protein V-Domain Ig Suppressor of T Cell Activation. Front. Immunol. 2022, 13, 837097. [Google Scholar] [CrossRef]
  39. Lucotti, S.; Muschel, R.J. Platelets and Metastasis: New Implications of an Old Interplay. Front. Oncol. 2020, 10, 1350. [Google Scholar] [CrossRef]
  40. Rankin, E.B.; Giaccia, A.J. Cellular Microenvironment and Metastases. In Abeloff’s Clinical Oncology; Elsevier: Amsterdam, The Netherlands, 2020; pp. 47–55.e43. [Google Scholar]
  41. Labelle, M.; Begum, S.; Hynes, R.O. Direct signaling between platelets and cancer cells induces an epithelial-mesenchymal-like transition and promotes metastasis. Cancer Cell 2011, 20, 576–590. [Google Scholar] [CrossRef] [Green Version]
  42. Ward, M.P.; Kane, L.E.; Norris, L.A.; Mohamed, B.M.; Kelly, T.; Bates, M.; Clarke, A.; Brady, N.; Martin, C.M.; Brooks, R.D.; et al. Platelets, immune cells and the coagulation cascade; friend or foe of the circulating tumour cell? Mol. Cancer 2021, 20, 59. [Google Scholar] [CrossRef]
  43. Willingham, S.B.; Volkmer, J.P.; Gentles, A.J.; Sahoo, D.; Dalerba, P.; Mitra, S.S.; Wang, J.; Contreras-Trujillo, H.; Martin, R.; Cohen, J.D.; et al. The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors. Proc. Natl. Acad. Sci. USA 2012, 109, 6662–6667. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Hapach, L.A.; Mosier, J.A.; Wang, W.; Reinhart-King, C.A. Engineered models to parse apart the metastatic cascade. NPJ Precis. Oncol. 2019, 3, 20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Paget, S. The distribution of secondary growths in cancer of the breast. 1889. Cancer Metastasis Rev. 1989, 8, 98–101. [Google Scholar] [PubMed]
  46. Akhtar, M.; Haider, A.; Rashid, S.; Al-Nabet, A.D.M.H. Paget’s “Seed and Soil” Theory of Cancer Metastasis: An Idea Whose Time has Come. Adv. Anat. Pathol. 2019, 26, 69–74. [Google Scholar] [CrossRef] [PubMed]
  47. Peixoto, R.D.; Speers, C.; McGahan, C.E.; Renouf, D.J.; Schaeffer, D.F.; Kennecke, H.F. Prognostic factors and sites of metastasis in unresectable locally advanced pancreatic cancer. Cancer Med. 2015, 4, 1171–1177. [Google Scholar] [CrossRef]
  48. Holch, J.W.; Demmer, M.; Lamersdorf, C.; Michl, M.; Schulz, C.; von Einem, J.C.; Modest, D.P.; Heinemann, V. Pattern and Dynamics of Distant Metastases in Metastatic Colorectal Cancer. Visc. Med. 2017, 33, 70–75. [Google Scholar] [CrossRef]
  49. Riihimäki, M.; Hemminki, A.; Sundquist, K.; Sundquist, J.; Hemminki, K. Metastatic spread in patients with gastric cancer. Oncotarget 2016, 7, 52307–52316. [Google Scholar] [CrossRef] [Green Version]
  50. Osmani, N.; Follain, G.; Garcia Leon, M.J.; Lefebvre, O.; Busnelli, I.; Larnicol, A.; Harlepp, S.; Goetz, J.G. Metastatic Tumor Cells Exploit Their Adhesion Repertoire to Counteract Shear Forces during Intravascular Arrest. Cell Rep. 2019, 28, 2491–2500.e2495. [Google Scholar] [CrossRef]
  51. Offeddu, G.S.; Hajal, C.; Foley, C.R.; Wan, Z.; Ibrahim, L.; Coughlin, M.F.; Kamm, R.D. The cancer glycocalyx mediates intravascular adhesion and extravasation during metastatic dissemination. Commun. Biol. 2021, 4, 255. [Google Scholar] [CrossRef]
  52. Al-Mehdi, A.B.; Tozawa, K.; Fisher, A.B.; Shientag, L.; Lee, A.; Muschel, R.J. Intravascular origin of metastasis from the proliferation of endothelium-attached tumor cells: A new model for metastasis. Nat. Med. 2000, 6, 100–102. [Google Scholar] [CrossRef]
  53. Wortzel, I.; Dror, S.; Kenific, C.M.; Lyden, D. Exosome-Mediated Metastasis: Communication from a Distance. Dev. Cell 2019, 49, 347–360. [Google Scholar] [CrossRef]
  54. Yang, X.; Zhang, Y.; Zhang, Y.; Zhang, S.; Qiu, L.; Zhuang, Z.; Wei, M.; Deng, X.; Wang, Z.; Han, J. The Key Role of Exosomes on the Pre-metastatic Niche Formation in Tumors. Front. Mol. Biosci. 2021, 8, 703640. [Google Scholar] [CrossRef]
  55. Heinz, M.C.; Peters, N.A.; Oost, K.C.; Lindeboom, R.G.H.; van Voorthuijsen, L.; Fumagalli, A.; van der Net, M.C.; de Medeiros, G.; Hageman, J.H.; Verlaan-Klink, I.; et al. Liver Colonization by Colorectal Cancer Metastases Requires YAP-Controlled Plasticity at the Micrometastatic Stage. Cancer Res. 2022, 82, 1953–1968. [Google Scholar] [CrossRef]
  56. Chen, W.; Wu, J.; Shi, W.; Zhang, G.; Chen, X.; Ji, A.; Wang, Z.; Wu, J.; Jiang, C. PRRX1 deficiency induces mesenchymal-epithelial transition through PITX2/miR-200-dependent SLUG/CTNNB1 regulation in hepatocellular carcinoma. Cancer Sci. 2021, 112, 2158–2172. [Google Scholar] [CrossRef]
  57. Meng, Z.; Chen, Y.; Wu, W.; Yan, B.; Zhang, L.; Chen, H.; Meng, Y.; Liang, Y.; Yao, X.; Luo, J. PRRX1 Is a Novel Prognostic Biomarker and Facilitates Tumor Progression Through Epithelial-Mesenchymal Transition in Uveal Melanoma. Front. Immunol. 2022, 13, 754645. [Google Scholar] [CrossRef]
  58. Jin, K.T.; Chen, X.Y.; Lan, H.R.; Wang, S.B.; Ying, X.J.; Abdi, S.M.; Wang, W.; Hu, Z.M.; Mou, X.Z. Current progress in the clinical use of circulating tumor cells as prognostic biomarkers. Cancer Cytopathol. 2019, 127, 739–749. [Google Scholar] [CrossRef]
  59. Konczalla, L.; Ghadban, T.; Effenberger, K.E.; Wostemeier, A.; Riethdorf, S.; Uzunoglu, F.G.; Izbicki, J.R.; Pantel, K.; Bockhorn, M.; Reeh, M. Prospective Comparison of the Prognostic Relevance of Circulating Tumor Cells in Blood and Disseminated Tumor Cells in Bone Marrow of a Single Patient’s Cohort With Esophageal Cancer. Ann. Surg. 2021, 273, 299–305. [Google Scholar] [CrossRef]
  60. Van Dalum, G.; Stam, G.J.; Scholten, L.F.; Mastboom, W.J.; Vermes, I.; Tibbe, A.G.; de Groot, M.R.; Terstappen, L.W. Importance of circulating tumor cells in newly diagnosed colorectal cancer. Int. J. Oncol. 2015, 46, 1361–1368. [Google Scholar] [CrossRef] [Green Version]
  61. Pernot, S.; Badoual, C.; Terme, M.; Castan, F.; Cazes, A.; Bouche, O.; Bennouna, J.; Francois, E.; Ghiringhelli, F.; de La Fouchardiere, C.; et al. Dynamic evaluation of circulating tumour cells in patients with advanced gastric and oesogastric junction adenocarcinoma: Prognostic value and early assessment of therapeutic effects. Eur. J. Cancer 2017, 79, 15–22. [Google Scholar] [CrossRef]
  62. Bissolati, M.; Sandri, M.T.; Burtulo, G.; Zorzino, L.; Balzano, G.; Braga, M. Portal vein-circulating tumor cells predict liver metastases in patients with resectable pancreatic cancer. Tumour Biol. 2015, 36, 991–996. [Google Scholar] [CrossRef]
  63. Hugenschmidt, H.; Labori, K.J.; Borgen, E.; Brunborg, C.; Schirmer, C.B.; Seeberg, L.T.; Naume, B.; Wiedswang, G. Preoperative CTC-Detection by CellSearch((R)) Is Associated with Early Distant Metastasis and Impaired Survival in Resected Pancreatic Cancer. Cancers 2021, 13, 485. [Google Scholar] [CrossRef] [PubMed]
  64. Zhou, J.; Zhang, Z.; Zhou, H.; Leng, C.; Hou, B.; Zhou, C.; Hu, X.; Wang, J.; Chen, X. Preoperative circulating tumor cells to predict microvascular invasion and dynamical detection indicate the prognosis of hepatocellular carcinoma. BMC Cancer 2020, 20, 1047. [Google Scholar] [CrossRef] [PubMed]
  65. Lee, M.W.; Kim, G.H.; Jeon, H.K.; Park, S.J. Clinical Application of Circulating Tumor Cells in Gastric Cancer. Gut Liver 2019, 13, 394–401. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Chemi, F.; Mohan, S.; Guevara, T.; Clipson, A.; Rothwell, D.G.; Dive, C. Early Dissemination of Circulating Tumor Cells: Biological and Clinical Insights. Front. Oncol. 2021, 11, 672195. [Google Scholar] [CrossRef] [PubMed]
  67. Macaraniag, C.; Luan, Q.; Zhou, J.; Papautsky, I. Microfluidic techniques for isolation, formation, and characterization of circulating tumor cells and clusters. APL Bioeng. 2022, 6, 031501. [Google Scholar] [CrossRef]
  68. Praharaj, P.P.; Bhutia, S.K.; Nagrath, S.; Bitting, R.L.; Deep, G. Circulating tumor cell-derived organoids: Current challenges and promises in medical research and precision medicine. Biochim. Biophys. Acta. Rev. Cancer 2018, 1869, 117–127. [Google Scholar] [CrossRef]
  69. Swennenhuis, J.F.; van Dalum, G.; Zeune, L.L.; Terstappen, L.W. Improving the CellSearch(R) system. Expert. Rev. Mol. Diagn. 2016, 16, 1291–1305. [Google Scholar] [CrossRef] [Green Version]
  70. Kelley, R.K.; Magbanua, M.J.; Butler, T.M.; Collisson, E.A.; Hwang, J.; Sidiropoulos, N.; Evason, K.; McWhirter, R.M.; Hameed, B.; Wayne, E.M.; et al. Circulating tumor cells in hepatocellular carcinoma: A pilot study of detection, enumeration, and next-generation sequencing in cases and controls. BMC Cancer 2015, 15, 206. [Google Scholar] [CrossRef]
  71. Li, Y.; Gong, J.; Zhang, Q.; Lu, Z.; Gao, J.; Li, Y.; Cao, Y.; Shen, L. Dynamic monitoring of circulating tumour cells to evaluate therapeutic efficacy in advanced gastric cancer. Br. J. Cancer 2016, 114, 138–145. [Google Scholar] [CrossRef]
  72. Riethdorf, S.; O’Flaherty, L.; Hille, C.; Pantel, K. Clinical applications of the CellSearch platform in cancer patients. Adv. Drug Deliv. Rev. 2018, 125, 102–121. [Google Scholar] [CrossRef]
  73. Shen, F.; Zhu, Y.; Wang, F.; Cai, X.; Ding, H.; Zhou, F.; Wang, J.; Gu, H.; Liu, C.; Li, Q. Clinical significance of circulating tumour cells and tumour marker detection in the chemotherapeutic evaluation of advanced colorectal cancer. Color. Dis. 2022, 24, 68–76. [Google Scholar] [CrossRef]
  74. Allard, W.J.; Matera, J.; Miller, M.C.; Repollet, M.; Connelly, M.C.; Rao, C.; Tibbe, A.G.; Uhr, J.W.; Terstappen, L.W. Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with nonmalignant diseases. Clin. Cancer Res. 2004, 10, 6897–6904. [Google Scholar] [CrossRef] [Green Version]
  75. Khoja, L.; Backen, A.; Sloane, R.; Menasce, L.; Ryder, D.; Krebs, M.; Board, R.; Clack, G.; Hughes, A.; Blackhall, F.; et al. A pilot study to explore circulating tumour cells in pancreatic cancer as a novel biomarker. Br. J. Cancer 2012, 106, 508–516. [Google Scholar] [CrossRef]
  76. Agnoletto, C.; Minotti, L.; Brulle-Soumare, L.; Pasquali, L.; Galasso, M.; Corra, F.; Baldassari, F.; Judde, J.G.; Cairo, S.; Volinia, S. Heterogeneous expression of EPCAM in human circulating tumour cells from patient-derived xenografts. Biomark. Res. 2018, 6, 31. [Google Scholar] [CrossRef]
  77. De Wit, S.; van Dalum, G.; Lenferink, A.T.; Tibbe, A.G.; Hiltermann, T.J.; Groen, H.J.; van Rijn, C.J.; Terstappen, L.W. The detection of EpCAM(+) and EpCAM(-) circulating tumor cells. Sci. Rep. 2015, 5, 12270. [Google Scholar] [CrossRef] [Green Version]
  78. Hiraiwa, K.; Takeuchi, H.; Hasegawa, H.; Saikawa, Y.; Suda, K.; Ando, T.; Kumagai, K.; Irino, T.; Yoshikawa, T.; Matsuda, S.; et al. Clinical significance of circulating tumor cells in blood from patients with gastrointestinal cancers. Ann. Surg. Oncol. 2008, 15, 3092–3100. [Google Scholar] [CrossRef]
  79. Saliba, A.E.; Saias, L.; Psychari, E.; Minc, N.; Simon, D.; Bidard, F.C.; Mathiot, C.; Pierga, J.Y.; Fraisier, V.; Salamero, J.; et al. Microfluidic sorting and multimodal typing of cancer cells in self-assembled magnetic arrays. Proc. Natl. Acad. Sci. USA 2010, 107, 14524–14529. [Google Scholar] [CrossRef] [Green Version]
  80. Talasaz, A.H.; Powell, A.A.; Huber, D.E.; Berbee, J.G.; Roh, K.H.; Yu, W.; Xiao, W.; Davis, M.M.; Pease, R.F.; Mindrinos, M.N.; et al. Isolating highly enriched populations of circulating epithelial cells and other rare cells from blood using a magnetic sweeper device. Proc. Natl. Acad. Sci. USA 2009, 106, 3970–3975. [Google Scholar] [CrossRef] [Green Version]
  81. Deng, G.; Krishnakumar, S.; Powell, A.A.; Zhang, H.; Mindrinos, M.N.; Telli, M.L.; Davis, R.W.; Jeffrey, S.S. Single cell mutational analysis of PIK3CA in circulating tumor cells and metastases in breast cancer reveals heterogeneity, discordance, and mutation persistence in cultured disseminated tumor cells from bone marrow. BMC Cancer 2014, 14, 456. [Google Scholar] [CrossRef] [Green Version]
  82. Stott, S.L.; Hsu, C.H.; Tsukrov, D.I.; Yu, M.; Miyamoto, D.T.; Waltman, B.A.; Rothenberg, S.M.; Shah, A.M.; Smas, M.E.; Korir, G.K.; et al. Isolation of circulating tumor cells using a microvortex-generating herringbone-chip. Proc. Natl. Acad. Sci. USA 2010, 107, 18392–18397. [Google Scholar] [CrossRef]
  83. Harb, W.; Fan, A.; Tran, T.; Danila, D.C.; Keys, D.; Schwartz, M.; Ionescu-Zanetti, C. Mutational Analysis of Circulating Tumor Cells Using a Novel Microfluidic Collection Device and qPCR Assay. Transl. Oncol. 2013, 6, 528–538. [Google Scholar] [CrossRef] [Green Version]
  84. Andreopoulou, E.; Yang, L.Y.; Rangel, K.M.; Reuben, J.M.; Hsu, L.; Krishnamurthy, S.; Valero, V.; Fritsche, H.A.; Cristofanilli, M. Comparison of assay methods for detection of circulating tumor cells in metastatic breast cancer: AdnaGen AdnaTest BreastCancer Select/Detect versus Veridex CellSearch system. Int. J. Cancer 2012, 130, 1590–1597. [Google Scholar] [CrossRef]
  85. Kirby, B.J.; Jodari, M.; Loftus, M.S.; Gakhar, G.; Pratt, E.D.; Chanel-Vos, C.; Gleghorn, J.P.; Santana, S.M.; Liu, H.; Smith, J.P.; et al. Functional characterization of circulating tumor cells with a prostate-cancer-specific microfluidic device. PLoS ONE 2012, 7, e35976. [Google Scholar] [CrossRef]
  86. Karabacak, N.M.; Spuhler, P.S.; Fachin, F.; Lim, E.J.; Pai, V.; Ozkumur, E.; Martel, J.M.; Kojic, N.; Smith, K.; Chen, P.I.; et al. Microfluidic, marker-free isolation of circulating tumor cells from blood samples. Nat. Protoc. 2014, 9, 694–710. [Google Scholar] [CrossRef] [Green Version]
  87. Mishra, A.; Dubash, T.D.; Edd, J.F.; Jewett, M.K.; Garre, S.G.; Karabacak, N.M.; Rabe, D.C.; Mutlu, B.R.; Walsh, J.R.; Kapur, R.; et al. Ultrahigh-throughput magnetic sorting of large blood volumes for epitope-agnostic isolation of circulating tumor cells. Proc. Natl. Acad. Sci. USA 2020, 117, 16839–16847. [Google Scholar] [CrossRef]
  88. Vilhav, C.; Engstrom, C.; Naredi, P.; Novotny, A.; Bourghardt-Fagman, J.; Iresjo, B.M.; Asting, A.G.; Lundholm, K. Fractional uptake of circulating tumor cells into liver-lung compartments during curative resection of periampullary cancer. Oncol. Lett. 2018, 16, 6331–6338. [Google Scholar] [CrossRef] [Green Version]
  89. Yap, Y.S.; Leong, M.C.; Chua, Y.W.; Loh, K.W.J.; Lee, G.E.; Lim, E.H.; Dent, R.; Ng, R.C.H.; Lim, J.H.; Singh, G.; et al. Detection and prognostic relevance of circulating tumour cells (CTCs) in Asian breast cancers using a label-free microfluidic platform. PLoS ONE 2019, 14, e0221305. [Google Scholar] [CrossRef] [Green Version]
  90. Liu, X.; Li, C.; Li, J.; Yu, T.; Zhou, G.; Cheng, J.; Li, G.; Zhou, Y.; Lou, W.; Wang, X.; et al. Detection of CTCs in portal vein was associated with intrahepatic metastases and prognosis in patients with advanced pancreatic cancer. J. Cancer 2018, 9, 2038–2045. [Google Scholar] [CrossRef] [PubMed]
  91. O’Shannessy, D.J.; Davis, D.W.; Anderes, K.; Somers, E.B. Isolation of Circulating Tumor Cells from Multiple Epithelial Cancers with ApoStream((R)) for Detecting (or Monitoring) the Expression of Folate Receptor Alpha. Biomark. Insights 2016, 11, 7–18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Balasubramanian, P.; Kinders, R.J.; Kummar, S.; Gupta, V.; Hasegawa, D.; Menachery, A.; Lawrence, S.M.; Wang, L.; Ferry-Galow, K.; Davis, D.; et al. Antibody-independent capture of circulating tumor cells of non-epithelial origin with the ApoStream(R) system. PLoS ONE 2017, 12, e0175414. [Google Scholar] [CrossRef] [PubMed]
  93. Balic, M.; Dandachi, N.; Hofmann, G.; Samonigg, H.; Loibner, H.; Obwaller, A.; van der Kooi, A.; Tibbe, A.G.; Doyle, G.V.; Terstappen, L.W.; et al. Comparison of two methods for enumerating circulating tumor cells in carcinoma patients. Cytom. B Clin. Cytom. 2005, 68, 25–30. [Google Scholar] [CrossRef]
  94. Jaeger, B.A.; Jueckstock, J.; Andergassen, U.; Salmen, J.; Schochter, F.; Fink, V.; Alunni-Fabbroni, M.; Rezai, M.; Beck, T.; Beckmann, M.W.; et al. Evaluation of two different analytical methods for circulating tumor cell detection in peripheral blood of patients with primary breast cancer. Biomed. Res. Int. 2014, 2014, 491459. [Google Scholar] [CrossRef] [Green Version]
  95. Friedlander, T.W.; Ngo, V.T.; Dong, H.; Premasekharan, G.; Weinberg, V.; Doty, S.; Zhao, Q.; Gilbert, E.G.; Ryan, C.J.; Chen, W.T.; et al. Detection and characterization of invasive circulating tumor cells derived from men with metastatic castration-resistant prostate cancer. Int. J. Cancer 2014, 134, 2284–2293. [Google Scholar] [CrossRef] [Green Version]
  96. Chinen, L.T.; de Carvalho, F.M.; Rocha, B.M.; Aguiar, C.M.; Abdallah, E.A.; Campanha, D.; Mingues, N.B.; de Oliveira, T.B.; Maciel, M.S.; Cervantes, G.M.; et al. Cytokeratin-based CTC counting unrelated to clinical follow up. J. Thorac. Dis. 2013, 5, 593–599. [Google Scholar] [CrossRef]
  97. Adams, D.L.; Zhu, P.; Makarova, O.V.; Martin, S.S.; Charpentier, M.; Chumsri, S.; Li, S.; Amstutz, P.; Tang, C.M. The systematic study of circulating tumor cell isolation using lithographic microfilters. RSC Adv. 2014, 9, 4334–4342. [Google Scholar] [CrossRef]
  98. Alix-Panabieres, C.; Pantel, K. Liquid biopsy in cancer patients: Advances in capturing viable CTCs for functional studies using the EPISPOT assay. Expert. Rev. Mol. Diagn. 2015, 15, 1411–1417. [Google Scholar] [CrossRef]
  99. Alix-Panabières, C. EPISPOT Assay: Detection of Viable DTCs/CTCs in Solid Tumor Patients. In Minimal Residual Disease and Circulating Tumor Cells in Breast Cancer; Ignatiadis, M., Sotiriou, C., Pantel, K., Eds.; Springer: Berlin/Heidelberg, Germany, 2012; pp. 69–76. [Google Scholar]
  100. 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]
  101. Yang, J.; Antin, P.; Berx, G.; Blanpain, C.; Brabletz, T.; Bronner, M.; Campbell, K.; Cano, A.; Casanova, J.; Christofori, G.; et al. Guidelines and definitions for research on epithelial-mesenchymal transition. Nat. Rev. Mol. Cell. Biol. 2020, 21, 341–352. [Google Scholar] [CrossRef] [Green Version]
  102. Pastushenko, I.; Blanpain, C. EMT Transition States during Tumor Progression and Metastasis. Trends Cell Biol. 2019, 29, 212–226. [Google Scholar] [CrossRef] [Green Version]
  103. Zhao, X.H.; Wang, Z.R.; Chen, C.L.; Di, L.; Bi, Z.F.; Li, Z.H.; Liu, Y.M. Molecular detection of epithelial-mesenchymal transition markers in circulating tumor cells from pancreatic cancer patients: Potential role in clinical practice. World J. Gastroenterol. 2019, 25, 138–150. [Google Scholar] [CrossRef]
  104. Semaan, A.; Bernard, V.; Kim, D.U.; Lee, J.J.; Huang, J.; Kamyabi, N.; Stephens, B.M.; Qiao, W.; Varadhachary, G.R.; Katz, M.H.; et al. Characterisation of circulating tumour cell phenotypes identifies a partial-EMT sub-population for clinical stratification of pancreatic cancer. Br. J. Cancer 2021, 124, 1970–1977. [Google Scholar] [CrossRef] [PubMed]
  105. Lee, S.; Choi, E.J.; Cho, E.J.; Lee, Y.B.; Lee, J.H.; Yu, S.J.; Yoon, J.H.; Kim, Y.J. Inhibition of PI3K/Akt signaling suppresses epithelial-to-mesenchymal transition in hepatocellular carcinoma through the Snail/GSK-3/beta-catenin pathway. Clin. Mol. Hepatol. 2020, 26, 529–539. [Google Scholar] [CrossRef] [PubMed]
  106. Castaneda, M.; Chen, L.; Pradhan, L.; Li, S.; Zein, R.; Lee, Y.; Lim, H.S.; Nam, H.J.; Lee, J. A Forkhead Box Protein C2 Inhibitor: Targeting Epithelial-Mesenchymal Transition and Cancer Metastasis. Chembiochem 2018, 19, 1359–1364. [Google Scholar] [CrossRef] [PubMed]
  107. Zhang, N.; Ng, A.S.; Cai, S.; Li, Q.; Yang, L.; Kerr, D. Novel therapeutic strategies: Targeting epithelial-mesenchymal transition in colorectal cancer. Lancet Oncol. 2021, 22, e358–e368. [Google Scholar] [CrossRef]
  108. Du, B.; Shim, J.S. Targeting Epithelial-Mesenchymal Transition (EMT) to Overcome Drug Resistance in Cancer. Molecules 2016, 21, 965. [Google Scholar] [CrossRef] [Green Version]
  109. Ramesh, V.; Brabletz, T.; Ceppi, P. Targeting EMT in Cancer with Repurposed Metabolic Inhibitors. Trends Cancer 2020, 6, 942–950. [Google Scholar] [CrossRef]
  110. Cui, B.; Zhang, S.; Chen, L.; Yu, J.; Widhopf, G.F., 2nd; Fecteau, J.F.; Rassenti, L.Z.; Kipps, T.J. Targeting ROR1 inhibits epithelial-mesenchymal transition and metastasis. Cancer Res. 2013, 73, 3649–3660. [Google Scholar] [CrossRef] [Green Version]
  111. Xu, G.L.; Shen, J.; Xu, Y.H.; Wang, W.S.; Ni, C.F. ROR1 is highly expressed in circulating tumor cells and promotes invasion of pancreatic cancer. Mol. Med. Rep. 2018, 18, 5087–5094. [Google Scholar] [CrossRef] [Green Version]
  112. Markham, A. Savolitinib: First Approval. Drugs 2021, 81, 1665–1670. [Google Scholar] [CrossRef]
  113. Zhang, T.; Boominathan, R.; Foulk, B.; Rao, C.; Kemeny, G.; Strickler, J.H.; Abbruzzese, J.L.; Harrison, M.R.; Hsu, D.S.; Healy, P.; et al. Development of a Novel c-MET-Based CTC Detection Platform. Mol. Cancer Res. 2016, 14, 539–547. [Google Scholar] [CrossRef]
  114. De Angelis, M.L.; Francescangeli, F.; Nicolazzo, C.; Signore, M.; Giuliani, A.; Colace, L.; Boe, A.; Magri, V.; Baiocchi, M.; Ciardi, A.; et al. An organoid model of colorectal circulating tumor cells with stem cell features, hybrid EMT state and distinctive therapy response profile. J. Exp. Clin. Cancer Res. 2022, 41, 86. [Google Scholar] [CrossRef]
  115. Dimitrov-Markov, S.; Perales-Paton, J.; Bockorny, B.; Dopazo, A.; Munoz, M.; Banos, N.; Bonilla, V.; Menendez, C.; Duran, Y.; Huang, L.; et al. Discovery of New Targets to Control Metastasis in Pancreatic Cancer by Single-cell Transcriptomics Analysis of Circulating Tumor Cells. Mol. Cancer 2020, 19, 1751–1760. [Google Scholar] [CrossRef]
Figure 1. Schematic representation of the metastatic cascade. After intravasation (1) tumor cells travel the systemic circulation (2), where they are susceptible to elimination, e.g., by natural killer cells. Coating by platelets can protect circulating tumor cells. After extravasation, the (3) formation of micrometastases is associated with the colonization of distant tissue. (See text for details).
Figure 1. Schematic representation of the metastatic cascade. After intravasation (1) tumor cells travel the systemic circulation (2), where they are susceptible to elimination, e.g., by natural killer cells. Coating by platelets can protect circulating tumor cells. After extravasation, the (3) formation of micrometastases is associated with the colonization of distant tissue. (See text for details).
Cancers 14 05483 g001
Figure 2. Clinically relevant CTC subtypes. (See text for details).
Figure 2. Clinically relevant CTC subtypes. (See text for details).
Cancers 14 05483 g002
Table 1. Common methods for isolation and analysis of CTCs.
Table 1. Common methods for isolation and analysis of CTCs.
NameType of MethodTargetCancerClinical TrialsReference
CellSearch® systemPositive IMSEpCAMGC, BC, PCNCT01116869[63,74,78]
EPHESIA CTC-ChipPositive IMSEpCAMPCa, BC [79]
MagSweeper™Positive IMSEpCAMBC [80,81]
Herringbone-ChipPositive IMSEpCAMPC, LC, NSCLCNCT01734915[82]
IsoFluxPositive IMSEpCAMPC, CRC, PCa [83]
Adnatest® systemPositive IMSEpCAM, MUC-1 HER2, CEABC, CRC [84]
Nanovelcro-chipPositive IMSEpCAMPCa
GEDI microdevicePositive IMSPSMAPCa [85]
CTC-iChipNegative IMSCD45, CD66bBC [86,87]
ClearCell® FXDean flow fractionationLabel-freeBC, PC, OCNCT04696744[88,89,90]
ApoStream®Dielectrophoretic field -flow fractionationElectrical signatureBC, LC, PCNCT02349867[91,92]
Onco-Quick®Porous membraneDensity, sizeBC, Carcinoma [93,94]
VITA-AssayTMPositive IMSCell adhesionmatrix (CAM)PCa [95]
ISET®MicrofilterSize, shapeLC, BPC, MPMNCT03328559, NCT01776385[96]
ScreenCellMicrofilterSize, shapeBC, EANCT02610764[97]
EPIDROPPositive IMSVariablePC, PCaNCT05346536, NCT04581109
NCT04556916
[98] (review)
EPISPOTProtein secretion epithelial immunoSPOTCK19, MUC-1, PSABC, CRC, PCaNCT01596790, NCT01402154[98,99]
Abbreviations: gastric cancer (GC), breast cancer (BC), pancreatic cancer (PC), prostate cancer (PCa), lung cancer (LC), non-small cell lung cancer (NSCLC), oropharyngeal cancer (OC), bronchial primitive cancer (BPC). Malignant pleural mesothelioma (MPM), esophageal adenocarcinoma (EA), immunomagnetic separation (IMS).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Noubissi Nzeteu, G.A.; Geismann, C.; Arlt, A.; Hoogwater, F.J.H.; Nijkamp, M.W.; Meyer, N.H.; Bockhorn, M. Role of Epithelial-to-Mesenchymal Transition for the Generation of Circulating Tumors Cells and Cancer Cell Dissemination. Cancers 2022, 14, 5483. https://doi.org/10.3390/cancers14225483

AMA Style

Noubissi Nzeteu GA, Geismann C, Arlt A, Hoogwater FJH, Nijkamp MW, Meyer NH, Bockhorn M. Role of Epithelial-to-Mesenchymal Transition for the Generation of Circulating Tumors Cells and Cancer Cell Dissemination. Cancers. 2022; 14(22):5483. https://doi.org/10.3390/cancers14225483

Chicago/Turabian Style

Noubissi Nzeteu, Gaetan Aime, Claudia Geismann, Alexander Arlt, Frederik J. H. Hoogwater, Maarten W. Nijkamp, N. Helge Meyer, and Maximilian Bockhorn. 2022. "Role of Epithelial-to-Mesenchymal Transition for the Generation of Circulating Tumors Cells and Cancer Cell Dissemination" Cancers 14, no. 22: 5483. https://doi.org/10.3390/cancers14225483

APA Style

Noubissi Nzeteu, G. A., Geismann, C., Arlt, A., Hoogwater, F. J. H., Nijkamp, M. W., Meyer, N. H., & Bockhorn, M. (2022). Role of Epithelial-to-Mesenchymal Transition for the Generation of Circulating Tumors Cells and Cancer Cell Dissemination. Cancers, 14(22), 5483. https://doi.org/10.3390/cancers14225483

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