Literature DB >> 28123515

Genetic alterations and epigenetic alterations of cancer-associated fibroblasts.

Heng Du1, Guowei Che1.   

Abstract

Cancer-associated fibroblasts (CAFs) are one major type of component identified in the tumor microenvironment. Studies have focused on the genetic and epigenetic status of CAFs, since they are critical in tumor progression and differ phenotypically and functionally from normal fibroblasts. The present review summarizes the recent achievements in understanding the gene profiles of CAFs and pays special attention to their possible epigenetic alterations. A total of 7 possible genetic alterations and epigenetic changes in CAFs are discussed, including gene differential expression, karyotype analysis, gene copy number variation, loss of heterozygosis, allelic imbalance, microsatellite instability, post-transcriptional control and DNA methylation. These genetic and epigenetic characteristics are hypothesized to provide a deep understanding of CAFs and a perspective on their clinical significance.

Entities:  

Keywords:  cancer-associated fibroblasts; epigenetic changes; genetic alteration; tumor microenvironment

Year:  2016        PMID: 28123515      PMCID: PMC5245074          DOI: 10.3892/ol.2016.5451

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

It is widely recognized that the accumulation of various harmful genetic alterations in normal cells may induce malignant cancer cells (1). Genetic mutation is one genetic alteration, but not all genetic mutations are harmful. Genetic mutation promotes biological evolution and results in biodiversity (2,3). Genetic alterations include genetic mutation, gene copy number variation (CNV), loss of heterozygosity (LOH), allelic imbalance (AI) and microsatellite instability (MSI). Epigenetic alterations, represented by post-transcriptional control and DNA methylation, have been the focus of recent studies. Cancer-associated fibroblasts (CAFs) are one major type of component in the tumor microenvironment (4). CAFs differ phenotypically and functionally from normal fibroblasts (NFs) (5). CAFs provide cancer cells with nutrition and promote the proliferation, invasion and metastasis of cells (6–9). CAFs maintain their phenotype for numerous passages during culture in vitro without exposure to cancer cells, while NFs cannot be infinitely proliferous like cancer cells (10). Therefore, it has been demonstrated that genetic or epigenetic alterations may be responsible for the special features of CAFs (Fig. 1) (10). Due to the critical role of CAFs during cancer progression, the genetic characterization of CAFs aids in the investigation of cancer therapy. The present review summarizes the current knowledge regarding 7 possible genetic and epigenetic alterations in CAFs.
Figure 1.

Genetic alterations and epigenetic changes in CAFs. Compared to NFs, CAFs possess numerous types of potential genetic alterations and epigenetic changes. These differences cause CAFs to differ phenotypically and functionally from NFs. Finally, CAFs promote cancer progression and act in cancer cell drug resistance. NFs, normal fibroblasts; CAFs, cancer-associated fibroblasts; CNVs, copy number variations; LOH, loss of heterozygosity; AI, allelic imbalance; MSI, microsatellite instability.

Differential expressions of certain special genes in CAFs

CAFs are different from NFs, and their unique phenotypes and functions are partly determined by differences in gene expression. The differences between CAFs and NFs in gene expression have been extensively compared; in one study, 31 genes in breast CAFs, which were identified using Affymetrix Human Genome U133 Plus 2.0 and an empirical Bayesian model, were different from those in NFs (11). Of the 31 genes, the 21 upregulated genes were primarily associated with cell paracrine and intracellular signaling, transcription regulation and cell adhesion and migration, and their transcriptional products included transforming growth factor-β2 (TGF-β2), insulin-like growth factor-binding protein 2 and transcriptional factor AP-2α/γ (11). By contrast, the 10 downregulated genes were primarily associated with epithelial membrane proteins (11). Genes mainly involved in coding adhesion molecules and growth factors have also been found to be upregulated in other types of CAFs, including colon (12) and pancreatic (13). The prostaglandin-endoperoxide synthase 2 gene (PTGS2), which encodes cyclooxygenase-2, was found to upregulate the expression of TGF-β2 (14). These results are consistent with another study concerning the gene expression profiling of breast CAFs, which were detected using a complementary DNA microarray (15). A study on the gene signature of CAFs in non-small cell lung cancer (NSCLC) revealed similar results to those observed in breast CAFs (16). In total, there were 46 genes differently expressed in CAFs compared with NFs, and the upregulated genes were enriched in cell signal transduction, cell adhesion, cell response to stress and angiogenesis (16). In total, of 6/46 genes were also associated with the TGF-β signaling pathway (16). TGF-β is a multifunctional signaling factor (17–19), which is involved in the epithelial-to-mesenchymal transition (EMT) (20,21). This may be one origin of CAFs (5). Cellular tumor antigen 53 (p53) signal transduction and genes associated with cell apoptosis and death were downregulated in colon CAFs (22). In addition, the gene expression profiling of CAFs may be prognostically significant for patients with NSCLC or colorectal cancer (CRC) (16,22). The differences in gene expression between CAFs and NFs are in keeping with the special function of CAFs in promoting cancer progression. CAFs promote the growth of cancer cells by providing nutrition to tumor cells (23,24), and facilitate the invasion and metastasis of tumor cells by secreting matrix metalloprotease to resolve the matrix surrounding cancer cells (16,25–28). Additionally, CAFs activate tumor angiogenesis (29–31). CAFs have a gene expression signature different from NFs, and upregulated genes are primarily associated with angiogenesis, EMT, cell adhesion and cell interactions (32,33). The gene expression profiles of CAFs are different among various tumors, despite certain general features. In the 3 subtypes of breast tumor, which are differentiated according to 3 receptors, estrogen, human epidermal growth factor receptor 2 (HER2) and progesterone, the gene expression profiles of CAFs are even subtype-specific (34), which may be used to distinguish the 3 subtypes (32). Cancer stage also affects the gene expression profiling of CAFs in breast cancer (35).

Karyotype analysis in CAFs

A karyotype, which is defined as the chromosomal composition in an individual cell, reflects the number and structure of chromosomes. Humans are diploid with 46 chromosomes; however, cancer cells are usually polyploidy or aneuploidy with a larger nuclei-cytoplasm ratio compared with normal cells. Polyploidy helps cancer cells to resist adverse factors, and tetraploid cell lines are more viable than diploid cell lines (36). Whether or not CAFs have various chromosome karyotypes in a way that is similar to cancer cells remains controversial. No clear differences have been identified in the chromosome karyotype of CAFs in oral carcinoma (37). By contrast, CAFs from 2 types of tumors, namely melanoma and prostate cancer (xenograft or spontaneous), are characterized by aneuploid karyotypes, which are caused by the attenuated activation of p53 in CAFs (38). Common reasons that account for the conflicting results observed include the heterogeneity of CAFs and the various anatomical locations. Furthermore, the largest difference between the two aforementioned studies is the time in cell culturing; the study that identified positive karyotype alterations had cultured CAFs for ≥20 weeks prior to testing (38). Since survival advantage in the tumor microenvironment, caused by selection pressures, is the reason for the alteration of karyotypes, a long-term culture is more likely to obtain CAFs with altered karyotypes. Senescence that is activated by signals in CAFs, including growth-regulated oncogene-1 and the TGF-β/connective tissue growth factor pathway, may fuel and promote the growth of cancer cells (39,40). Polyploidy is one of the three steps leading to the immortality of cancer cells, and cells with normal karyotypes cannot avoid senescence (41). Consequently, whether the absence of chromosome karyotype may cause CAF senescence and whether the senescent CAFs then promote tumor growth remains unclear.

DNA CNVs in CAFs

CNVs are particularly common in tumors and can contribute to tumor progression (42). The multiplex ligation-dependent probe amplification technique has previously demonstrated the presence of gene dosage alterations in ovarian cancer CAFs, and CNV was identified in 61% of genes (43). Amplifications and deletions were detected in CAFs in colorectal and breast carcinomas, and the presence of 17 CNVs was confirmed by representational oligonucleotide microarray analysis (44). Ephrin type receptor (Eph) A4, EphA2 and EphB2 were also identified in these alterations, and EphA4 may be directly associated with tumor angiogenesis and progression; thus Ephs may be attractive drug targets for cancer therapy (45,46). By contrast, CNVs were not identified in 95% of 98 patients, including 484 frozen specimens (47), and this study suggested that previous studies exhibiting a high frequency of CNVs are not entirely believable, since formalin-fixed and paraffin-embedded (FFPE) specimens have been used and, thus, the high number of CNVs may reflect an FFPE-related artifact. Finally, the authors of the aforementioned study concluded that the tumor microenvironment is genomically stable (47). The present authors hypothesize that genetic statuses are different among various types of tumor. However, CNVs in colorectal and breast carcinomas have been detected without using FFPE specimens (44). Thus, investigations using more specific and accurate methods are required.

LOH and AI

Numerous forms of genetic alterations, including MSI, LOH, AI and CNV, have been observed in benign and malignant epithelial neoplasms. The LOH-induced tumor suppressor gene (TSG) mutation is common among cancer epithelial cells (48–50). Whether or not LOH and AI are present in CAFs has been the focus of studies in recent years. Several types of cancer, including head and neck squamous cell carcinoma (HNSCC), breast cancer, ovarian cancer, bladder cancer and CRC, and their associated stromata have been investigated since 2000. LOH or AI was revealed in all these cancer stromata. The LOH of the p53 and BRCA1 genes in chromosome 17 was identified in ulcerative colitis (UC)-associated carcinogenesis (51) and CRC (52). The LOH in stromal cells is associated with the colitis-associated carcinogenesis, and the frequency is increased compared with cancer cells (51). In CAFs of HNSCC, LOH is identified in the tumor protein 53 (TP53) and phosphatase and tensin homolog (PTEN) genes (two important tumor-suppressing genes) and the frequency is associated with tumor size and lymph node metastasis (53). LOH in TP53 is also observed in bladder cancer CAFs (54). The frequency of LOH in chromosome 3p21.3, a region that harbors 3 hyaluronidase genes potentially encoding the hyaluronidase tumor suppressor, in the stromal cells of ovarian cancer is similar to the frequency in cancer cells (55). However, LOH in these genes does not affect the accumulation of hyaluronidase or tumor progress (55). Breast cancer is most commonly used in the detection of LOH and AI, and numerous studies focus on TP53 and PTEN (56). The LOHs of TP53 and PTEN have been identified in hereditary and sporadic breast cancers: Hereditary patients are more prone to TP53 mutation; however, it is only in sporadic breast cancer that LOHs of TP53 and PTEN are associated with cancer lymph node metastasis, tumor grade and type of estrogen receptor (57,58). The frequency of LOH is high in sporadic breast cancer, and LOH at certain loci is noted only in stromal cells; these loci primarily code TSGs (51,53). LOH and AI of certain genes occur in tumor and stromal cells, while some occur only in tumor or stromal cells (53,56). The occurrence of LOH in the cancer epithelium or stromal cells is not completely random; certain unique loci may contain an increased frequency of LOH compared with other loci, whilst several loci may act as trigger points, at which a LOH may result in a LOH at another locus (59,60). p53 mutations in CAFs also affect the CAF in question. LOH or complete loss of p53 in CAFs leads to the accumulation of stroma in cancer tissues, an increased proliferation of mesenchymal cells and a mesenchymal response (61). p53 status is involved in clinical treatment, since a LOH of p53 in CAFs weakens the response of cancer cells to radiotherapy and chemotherapy (38,62). Recently, the acquired resistance to targeted chemotherapy of pulmonary adenocarcinoma, including epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), has attracted more attention, and EMT may be one major reason (63,64). Since EMT may be one origin of CAFs (5), the present study hypothesizes that the p53 status or LOH of p53 in CAFs of pulmonary adenocarcinoma may play a role in the resistance against EGFR-TKI. p53 status in cancer cells has been shown to be associated with tumor angiogenesis (65–68). Regarding the reason for the multifunctionality of CAFs, altered p53 signal transduction in CAFs may also be associated with angiogenesis. Overall, the present review concludes that genetic alterations in cancer and stromal cells may occur independently, at least in breast cancer. In addition, interactions and cross-talk exist between tumor epithelia and supportive stromal cells. Stromal cells should be recognized as an equal and independent interactive component, rather than a response or an accessory to the carcinoma.

MSI

MSI represents a defective mismatch repair and is one feature of tumors (69). MSI occurs not only in cancer epithelial cells, but also in CAFs. MSI occurs in 41% of CRC CAFs vs. 34% of cancer cells (70). MSI in cancer cells is positively correlated with differentiation and Duke's stage; however, in CAFs, MSI is more frequent in samples with Duke's stage A (55%) and well-differentiated CRCs (54%) (70). In addition, MSI occurs in UC-associated CRC CAFs, since MSI in CAFs is associated with TSGs, including p53 (71). Furthermore, TSG instability is more important at the early stage of UC-associated oncogenesis (72). MSI also occurs at the early stage of esophageal cancer CAFs, but the frequency is increased in squamous cell carcinoma compared with in Barrett's adenocarcinoma (73). With the exception of MSI in the nuclei of CAFs, MSI in DNA occurs in the cytoplasmic mitochondria (Mt) of CRC CAFs. The Mt genome contains 16,569 nucleotides that encode 2 ribosomal RNAs and 22 transfer RNAs, the production of which is critical for oxidative phosphorylation (74). MtMSI has already been reported in several types of cancer cells (75–77). MtMSI in CAFs is primarily detected in the D-loop of MtDNA, which contains transcription and replication regulatory elements (78). Different from nuclear MSI, MtMSI in CRC CAFs is not related to Duke's stage, or to nuclear MSI of CAFs or cancer cells. MtMSI may work only in the development, but not progression, of tumorigenesis (79).

Epigenetic alterations

Background

An epigenetic alteration is a local and global gene expression regulation, which is achieved primarily through DNA modification and nucleosome rearrangement rather than changes in DNA base pairs (80). The initiation and progression of cancer may be accompanied by genetic alterations and epigenetic regulations (81). Epigenetic alterations are divided into several subtypes, including post-transcriptional control, DNA (promoter) methylation, long-range epigenetic regulation, local nucleosome remodeling, deposition of histone proteins and covalent modification of canonical core histones (82). Certain subtypes associated with CAFs have already been confirmed.

Post-transcriptional control

Post-transcriptional control is a key process in gene expression, and its major tool is microRNA (miRNA). miRNAs are small non-coding RNAs of 19–25 nucleotides. miRNA is involved in numerous cellular progresses, including development, differentiation, cell response to stress, cell proliferation and apoptosis (83,84). miRNA acts as an oncogene and tumor suppressor through various target genes (85). The functions of miRNA have been widely investigated in various types of cancer cells (86). The most relevant studies focus on tumor microenvironment and miRNA in CAFs (Table I). Recent studies on breast cancer have revealed various miRNA statuses in CAFs. CAF cell lines from 6 patients and paired NFs have been analyzed using miRNA microarrays to identify 11 dysregulated miRNAs (87). In total, 3/11 miRNAs (miRs), including miR-221-5p, −221-3p and −31-3p, were found to be upregulated, and the remaining 8 miRNAs, including miR-26b, −101, −141, −200b, −200c, −205, −342-3p and -let-7g were found to be downregulated (87). These 11 miRNAs target interleukin-6 (IL-6), TGF-β and hepatocyte growth factor signaling pathways, which affect cell proliferation, differentiation, secretion, migration, intercellular adhesion and interaction with other compartments in tumors (87). miR-320 and −21 are also different, since miR-320 is regulated by PTEN and its target gene is ETS proto-oncogene 2 (ETS2). The downregulation of miR-320 with the upregulation of ETS2 in PTEN-knocked-out CAFs promotes angiogenesis and cancer cell invasion (87). The PTEN-miR-320-ETS2 complex, which distinguishes between normal and tumor stroma, is associated with the recurrence of breast cancer (88). miR-21 in CAFs is associated with Ki-67, and its high expression results in the increased proliferation of tumor cells (89,90). The roles of miR-21 are different among various CAFs. In stage II CRC, CAFs with a high expression of miR-21 predicts poor disease-free survival (91). During the process between precancerous adenoma and advanced CRC, the frequency and extent of miR-21 expression are increased (91). In esophageal squamous cell carcinoma, miR-21 in CAFs affects the migration and invasion of cancer cells and may be involved in the activation of NFs to CAFs through tropomyosin (TPM) 1, TPM3 and TGF-β pathways (18,20,92).
Table I.

miR status in cancer-associated fibroblasts of various cancer types.

Cancer typemiR profileStatusTarget genes
BreastmiR-221-5p, miRNA-221-3p, miR-31-3p and miR-21TGF-β, IL-6, HGF, ETS-2 and Ki-67
miR-26b, miR-101, miR-141, miR-200b, miR-200c, miR-205, miR-342-3p, let-7g and miR-320
BladdermiR-16 and miR-320TNF-α, FGF-inducible4 and pro-angiogenic miR
miR-143 and miR-145
OvarianmiR-155CCL5 or other chemokines secreted by CAFs
miR-31 and miR-214
GastricmiR-143TGF-β/Smad
EndometrialmiR-148Wnt-1 and Wnt-10
ProstatemiR-15 and miR-16Bcl-2, Wnt, Bmi-1, Ccne1, Ccnd1, VEGF and IL-6
SCCmiR-21TPM1, TPM3 and TGF-β
ColorectalmiR-21PDCD4, SPRY1, SPRY2, NFI-B, RECK and PTEN
NSCLCmiR-186Glut1, CDK216, CCND1 and CkIIa mRAN

SCC, squamous cell carcinoma; NSCLC, non small cell lung cancer; miR, microRNA; ↑, upregulated; ↓, downregulated.

Two other studies looking at CAFs in endometrial cancer have identified 12 miRNAs with various expressions (87). Among 12 miRNAs analyzed, miR-31 is the most downregulated (93), the target of which is the SATB2 homeobox gene. Special AT-rich sequence-binding protein 2 (SATB2) is a matrix attachment region-binding protein that codes cell type-specific transcriptional factor involved in regulating transcription in large chromatin domains (93). The upregulated expression of SATB2 in breast cancer is associated with increased tumor grade (94). SATB2 is highly expressed in breast cancer CAFs, which results in the increased capacity for promoting the migration of cancer cells and invasion of CAFs (93). The introduction of SATB2 into NFs could stimulate the expression of genes involved in the scattering, migration and invasion of cells (95). miR-148a is another reduced miRNA in breast cancer, and by acting with its target Wnt family member 10B (WNT10B), miR-148a promotes the migration of cancer cells without affecting growth rate (96). WNT10B may also be involved in the activation of CAFs (97). miRNAs are also detected in other types of CAFs. Of the 4 miRNAs investigated in bladder cancer CAFs, 2 miRNAs (miR-16 and −320) are upregulated and 2 miRNAs are downregulated (98). Certain studies suggested that miR-16 may pro-apoptotically act as a tumor suppressor and miR-320 may be associated with DNA promoter methylation in cancer cells (99,100). On the contrary, the expression of miR-143 and miR-145 is reduced in CAFs, and both are involved in tumor suppression (101). Ovarian CAFs contain 2 downregulated miRNAs (miR-31 and −214) and 1 upregulated miRNA (miR-155) compared with NFs. Mimicking the miRNA status using miRNA suppressors and transforming miRNAs could induce functional conversions from NFs to CAFs, while the reverse experiment can result in the conversion from CAFs to NFs (102). Notably, the upregulation of miR-214 is directly associated with chemokine (C-C motif) ligand 5, a chemokine that is abundant in the serum and promotes the invasion and migration of cancer stem cells, and these actions are similar to CAFs in ovarian cancer (103). However, miR-143 expression is upregulated in the CAFs of scirrhous gastric cancer rather than in the non-scirrhous types 40 (104). miR-143 enhances the expression of collagen type III through activating the TGF-β/SMAD pathway 40 (104). The increased expression of miR-143 is associated with poor cancer-specific mortality, thus miR-143 may act as an independent prognostic factor (104). Two miRNAs (miR-15 and −16) with lower expressions have been indicated in the CAFs of prostate cancer, and the downregulation of each reduces the post-transcriptional repression of fibroblast growth factor-2/fibroblast growth factor receptor-1, which in turn promotes the growth and progression of cancer cells (105) Therefore, the decreased expressions of miR-15 and −16 also promote the growth of cancer cells. Oncogenes, such as B cell lymphoma 2 and Wnt, and angiogenesis-related genes such as vascular endothelial growth factor and IL-6 (29), are involved in the target genes of these two miRNAs (105). miR-186 in CAFs is involved in glycolysis, and combined with the 3′-untranslated region of its target gene glucose transporter 1 (Glut 1), it is active in regulating the uptake of glucose and production of lactate (106). The roles of CAFs in cancer glucose and energy metabolism are recognized using a novel method named the ‘reverse Warburg effect’ (23,107,108). Caveolin-1 is a key pathway in the CAF metabolism conversion (109,110). Whether or not miR-186 and Glut 1 are associated with the caveolin-1 pathway requires further research.

DNA methylation

DNA methylation is one epigenetic change and is mainly divided into two subtypes, hypermethylation and hypomethylation (80). DNA promoter hypermethylation could result in the silence of TSGs, while hypomethylation of oncogenes causes its activation or overexpression (111,112). Thus, the two subtypes are critical for tumorigenesis. DNA methylation in CAFs has been widely investigated. Tumor stroma is important for cancer progression. In CRC, the components rich in connective tissues were found to have an accumulation of chondroitin sulphate proteoglycan. The relevant gene coding this proteoglycan contains a 3-fold decrease of hypomethylation and this change only occurs in the CAFs of tumor stroma, rather than in cancer cells (113,114). The same hypomethylation is absent in the stroma of UC, indicating that chronic inflammation is not powerful enough to change cytosine methylation (115). In prostate cancer, promoter hypermethylation of cyclin-dependent kinase inhibitor 2A, hypermethylated in cancer 1 protein, tumor suppressor candidate 3 and glutathione S-transferase P1 (GSTP1) is extremely abundant in cancer epithelial cells and CAFs (116). The GSTP1 promoter is methylated in >90% of prostate cancers. Though GSTP1 may not suppress cancer cell growth and is not considered to be a TSG, it may be a caretaker gene and its aberrant silencing in CAFs may create a tumorigenic microenvironment (117). Promoter hypermethylation could also be responsible for the inactivation of another candidate TSG, the opioid binding protein/cell adhesion molecule-like gene, in invasive cervical cancer CAFs (118). In addition to hypermethylation, DNA promoter hypomethylation may also exist in CAFs. Activation of long interspersed nucleotide element-1 in tumorigenesis-related CRC is due to its hypomethylated promoter (119). Gene methylation profiles are associated with the status of receptors. In HER2/neu-positive breast cancer CAFs, 3 corresponding genes, including progesterone receptor, type IV 17-β-hydroxysteroid dehydrogenase and H-cadherin, are downregulated (120). These genes are methylated in breast cancer, but are only slightly or not methylated in non-neoplastic breast cancers (120). Gene methylation is a dynamic process in esophageal squamous cancer and cervical cancer; thus, the level of methylation changes with the progression of cancer (121,122). Apart from locally methylated DNA, global gene hypomethylation was confirmed in CAFs of gastric cancer (123). Most importantly, global methylation of CAFs occurs as early as the dysplastic stage, which could potentially provide a novel strategy for early diagnosis. Mechanistically, several possible reasons may explain the aberrant methylation in CAFs. The field effect could be a cause of methylation in certain CAFs, as this effect induces the spread of methylation among various types of cells (124,125); for example, Septin 9 gene hypermethylation in CAFs occurs later than in CRC epithelial cells, which may reflect the spread of Septin 9 hypermethylation from CRC epithelial cells to CAFs. CAF methylation possibly occurs through field effects from cancer cells (126). In addition, abnormal cell proliferation, a local decrease of methyl donors under certain premalignant conditions, or both of these factors may result in hypomethylation (123,126). As for DNA promoter hypermethylation in cancer cells, 3 possible mechanisms have been put forward, including the infidelity of maintenance DNA (cytosine-5)-methyltransferase (DNMT)1, the de novo methylating enzymes, DNMT3a and DNMT3b, and the faulty repair mechanism of aberrantly methylated DNA (127). Whether or not these 3 mechanisms are accurate and suitable for CAFs should be validated through additional studies.

Clinical significance, controversies and future outlook

Perspective on the clinical significance. Clinical trials have already used miRNAs as drug targets or biomarkers for the stratification of patients, prognosis and drug efficacy (128). miR-21 is upregulated in the CAFs of several cancer types and is selected as a diagnostic and prognostic marker. mir-21 is associated with the Duke's stage of CRC. Highly expressed stromal miR-21 predicts a poor recurrence-free survival (129). Combined with other miRNAs, plasma miR-21 could be a novel method for early cancer diagnosis. However, miR-143 usually shows a decreased expression and is considered as a cancer suppressor (104,130,131). Erb-b2 receptor tyrosine kinase 3 (ERBB3), one of the four members of the ERBB family of receptor tyrosine kinases, is targeted by miR-143, which in turn prevents breast cancer cells from proliferation and invasion. EGFR-TKI drugs have a special effect in targeting cancer cells, but patients have to endure drug-resistance for several months after administration of the drugs. miR-143 could potentially be a novel pathway for targeted drugs as it can inhibit cancer cell invasion through an EGFR signalling pathway (132,133). With regard to upregulated miR-221, a drug called 2′-O-methylphosphorothioate-modified anti-miRNA-221 has already demonstrated an antitumor effect in mouse models (134). The in vivo administration of tumor suppressor microRNA or inhibitors of tumor-promoting microRNA that target CAFs may be an emerging tumor treatment; this may be more effective compared with existing techniques, considering that CAFs have a relatively steady phenotype compared with cancer cells (134). DNA methyltransferase inhibitors and DNA methyltransferase maybe be useful for combating CAFs possessing the corresponding hypermethylation and hypomethylation. The drugs, 5-azacytidine and 5-aza-2′-deoxycytidine, which have already been used for treatment of acute and chronic myeloid leukemia and myelodysplastic syndrome, have been investigated in the treatment other tumors; however, they are less effective in the treatment of solid tumors and have associated side effects (135).

Controversies and further outlook

Whether or not CAFs have somatic or genetic alterations remains controversial, despite certain alterations that have already been found. Studies that found a positive somatic alteration in CAFs, without exception, have extracted DNA from archival tissues. In other studies (10,47,136,137), CAFs were isolated from fresh frozen tissues or flow cytometry; no somatic genetic alterations were found, while CAFs from FFPE show a high frequency of LOH and AI. This pattern indicates that FFPE tissues could result in highly fragmented DNA and RNA molecules, which are not suitable for large-scale genetic analysis. PCR amplification then exacerbates the artificial false positive result (138–143). Thus, certain studies refute genetic alterations and instead attribute the results to epigenetic alterations More reliable and accurate methods should be found to solve these controversies. CAFs retain diploid rather than polyploid cancer cells, which may account for the senescence of CAFs. Since telomerase is closely linked with cell senescence, particularly in cancer cells, the activity and status of telomerase in CAFs may be worth additional studies, though certain studies have already been performed (144–146).

Conclusion

CAFs, which are phenotypically and functionally different from NFs due to numerous potential genetic alterations and epigenetic changes, are critical for tumor progression and have attracted increasing numbers of studies in recent years (Fig. 1). With the potential genetic and epigenetic alterations changes found in CAFs, the underlying mechanisms regarding the features of CAFs are gradually revealed. With the exception of genetic and epigenetic alterations, other relevant changes may also explain the differential expressions of genes in CAFs, and certain special genetic or epigenetic alterations may be confirmed in the future. Further investigation into the detailed genetic and epigenetic alterations of CAFs in the tumor microenvironment increases the understanding of CAFs and provides novel approaches for clinical application.
  145 in total

1.  High epithelial and stromal genetic instability of chromosome 17 in ulcerative colitis-associated carcinogenesis.

Authors:  Naoko Matsumoto; Tsutomu Yoshida; Isao Okayasu
Journal:  Cancer Res       Date:  2003-10-01       Impact factor: 12.701

2.  p53-mediated inhibition of angiogenesis through up-regulation of a collagen prolyl hydroxylase.

Authors:  Jose G Teodoro; Albert E Parker; Xiaochun Zhu; Michael R Green
Journal:  Science       Date:  2006-08-18       Impact factor: 47.728

Review 3.  Epigenetic changes in tumor microenvironment.

Authors:  P Dey
Journal:  Indian J Cancer       Date:  2011 Oct-Dec       Impact factor: 1.224

4.  Antibody targeting of the EphA2 tyrosine kinase inhibits malignant cell behavior.

Authors:  Kelly Carles-Kinch; Katherine E Kilpatrick; Jane C Stewart; Michael S Kinch
Journal:  Cancer Res       Date:  2002-05-15       Impact factor: 12.701

5.  Combined total genome loss of heterozygosity scan of breast cancer stroma and epithelium reveals multiplicity of stromal targets.

Authors:  Koichi Fukino; Lei Shen; Satoshi Matsumoto; Carl D Morrison; George L Mutter; Charis Eng
Journal:  Cancer Res       Date:  2004-10-15       Impact factor: 12.701

6.  Genetic variation in innate immunity and inflammation pathways associated with lung cancer risk.

Authors:  Meredith S Shiels; Eric A Engels; Jianxin Shi; Maria Teresa Landi; Demetrius Albanes; Nilanjan Chatterjee; Stephen J Chanock; Neil E Caporaso; Anil K Chaturvedi
Journal:  Cancer       Date:  2012-10-08       Impact factor: 6.860

Review 7.  Epigenetics and cancer.

Authors:  Anders H Lund; Maarten van Lohuizen
Journal:  Genes Dev       Date:  2004-10-01       Impact factor: 11.361

8.  Stromal gene expression predicts clinical outcome in breast cancer.

Authors:  Greg Finak; Nicholas Bertos; Francois Pepin; Svetlana Sadekova; Margarita Souleimanova; Hong Zhao; Haiying Chen; Gulbeyaz Omeroglu; Sarkis Meterissian; Atilla Omeroglu; Michael Hallett; Morag Park
Journal:  Nat Med       Date:  2008-04-27       Impact factor: 53.440

Review 9.  Invited review DNA copy number changes as diagnostic tools for lung cancer.

Authors:  Anne M Bowcock
Journal:  Thorax       Date:  2013-11-04       Impact factor: 9.139

10.  MicroRNA-143 regulates collagen type III expression in stromal fibroblasts of scirrhous type gastric cancer.

Authors:  Yutaka Naito; Naoya Sakamoto; Naohide Oue; Masakazu Yashiro; Kazuhiro Sentani; Kazuyoshi Yanagihara; Kosei Hirakawa; Wataru Yasui
Journal:  Cancer Sci       Date:  2014-01-08       Impact factor: 6.716

View more
  23 in total

Review 1.  Targeting the tumour stroma to improve cancer therapy.

Authors:  Kenneth C Valkenburg; Amber E de Groot; Kenneth J Pienta
Journal:  Nat Rev Clin Oncol       Date:  2018-06       Impact factor: 66.675

2.  PEDF regulates plasticity of a novel lipid-MTOC axis in prostate cancer-associated fibroblasts.

Authors:  Francesca Nardi; Philip Fitchev; Omar E Franco; Jelena Ivanisevic; Adrian Scheibler; Simon W Hayward; Charles B Brendler; Michael A Welte; Susan E Crawford
Journal:  J Cell Sci       Date:  2018-07-11       Impact factor: 5.285

3.  Upregulating MMP-1 in carcinoma-associated fibroblasts reduces the efficacy of Taxotere on breast cancer synergized by Collagen IV.

Authors:  Qingyu Cui; Bixiao Wang; Kaifu Li; Haichen Sun; Tao Hai; Yan Zhang; Hua Kang
Journal:  Oncol Lett       Date:  2018-07-05       Impact factor: 2.967

Review 4.  Fibroblast heterogeneity in prostate carcinogenesis.

Authors:  Sathyavathi ChallaSivaKanaka; Renee E Vickman; Mamatha Kakarla; Simon W Hayward; Omar E Franco
Journal:  Cancer Lett       Date:  2021-10-29       Impact factor: 8.679

5.  T Cell-Mediated Antitumor Immunity Cooperatively Induced By TGFβR1 Antagonism and Gemcitabine Counteracts Reformation of the Stromal Barrier in Pancreatic Cancer.

Authors:  Dandan Li; Nicholas Schaub; Theresa M Guerin; Tashinga E Bapiro; Frances M Richards; Vicky Chen; Keyur Talsania; Parimal Kumar; Debra J Gilbert; Jerome J Schlomer; Seong-Jin Kim; Rebecca Sorber; Yaroslav Teper; Wendy Bautista; Claudia Palena; Chan-Young Ock; Duncan I Jodrell; Nathan Pate; Monika Mehta; Yongmei Zhao; Serguei Kozlov; Udo Rudloff
Journal:  Mol Cancer Ther       Date:  2021-08-10       Impact factor: 6.009

Review 6.  Cancer-associated fibroblasts: overview, progress, challenges, and directions.

Authors:  Qinrong Ping; Ruping Yan; Xin Cheng; Wenju Wang; Yiming Zhong; Zongliu Hou; Yunqiang Shi; Chunhui Wang; Ruhong Li
Journal:  Cancer Gene Ther       Date:  2021-03-12       Impact factor: 5.987

Review 7.  Teaming Up for Trouble: Cancer Cells, Transforming Growth Factor-β1 Signaling and the Epigenetic Corruption of Stromal Naïve Fibroblasts.

Authors:  Sergio Lamprecht; Ina Sigal-Batikoff; Shraga Shany; Naim Abu-Freha; Eduard Ling; George J Delinasios; Keren Moyal-Atias; John G Delinasios; Alexander Fich
Journal:  Cancers (Basel)       Date:  2018-02-27       Impact factor: 6.639

Review 8.  Tumor-educated mesenchymal stem cells promote pro-metastatic phenotype.

Authors:  Billy Samuel Hill; Alessandra Pelagalli; Nunzia Passaro; Antonella Zannetti
Journal:  Oncotarget       Date:  2017-08-14

9.  DNA methylation signal has a major role in the response of human breast cancer cells to the microenvironment.

Authors:  P Mathot; M Grandin; G Devailly; F Souaze; V Cahais; S Moran; M Campone; Z Herceg; M Esteller; P Juin; P Mehlen; R Dante
Journal:  Oncogenesis       Date:  2017-10-23       Impact factor: 7.485

Review 10.  Alteration of the Antitumor Immune Response by Cancer-Associated Fibroblasts.

Authors:  Linda Ziani; Salem Chouaib; Jerome Thiery
Journal:  Front Immunol       Date:  2018-03-01       Impact factor: 7.561

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.