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Page 700                                Alonso-Peña et al. Cancer Drug Resist 2019;2:680-709  I  http://dx.doi.org/10.20517/cdr.2019.006

               Table 9. Somatic (S) mutations affecting coding (c) and non-coding (nc) regions of genes related to tumor microenvironment
               in primary liver cancer
               Gene  Protein G/S Region  Genetic mutations  Protein mutations  Functional   Clinical   Studies  References
                                                                   consequences consequences
               IL6    IL6   S    c     c.179T>A     Ile60Asn        Moderate   Neutral  TCGA-LIHC  TCGA
                            S    c     c.83C>T      Ala28Val        Moderate   Neutral  TCGA-LIHC  TCGA
                            S    nc    c.20-6C>T    Splice region variant  Modifier  Neutral  TCGA-LIHC  TCGA
                            S    nc    c.243+169T>G  Intron         Modifier   ND       TCGA-LIHC  TCGA
               MMP2   MMP2  S    c     c.648G>T     Lys216Asn       Moderate   ND       TCGA-LIHC  TCGA
                            S    c     c.1160C>G    Pro387Arg       Moderate   ND       TCGA-CHOL  TCGA
                            S    c     c.85G>A      Ala29Thr        Moderate   Pathogenic  TCGA-LIHC  TCGA
                            S    nc    c.-75-3345G>A  Intron        Modifier   Pathogenic  TCGA-LIHC  TCGA
               CXCR4  CXCR4 S    c     c.664A>T     Ile226Phe       Moderate   Pathogenic  TCGA-LIHC  TCGA
                            S    nc    c.-55C>A     5’UTR           Modifier   ND       TCGA-LIHC  TCGA
               LOX    LOX   S    c     c.1144C>T    Pro382Ser       Moderate   Pathogenic  TCGA-LIHC  TCGA
                            S    c     c.850T>A     Tyr284Asn       Moderate   Pathogenic  TCGA-LIHC  TCGA
                            S    nc    c.*42T>A     3’UTR           Modifier   Pathogenic  TCGA-LIHC  TCGA
               Data obtained from TCGA database. Functional consequences are based on VEP (Variant Effect Predictor; https://www.ensembl.org/vep)
               impact: High means that the variant is supposed to cause a high disruptive impact in the protein, which is likely to cause loss of function;
               Moderate means that the variant may be not disruptive, but results in a decrease effectiveness of the encoded protein; Modifier is usually
               referred to non-coding variants, whose impact is difficult to determine, although they can be involved in transcription or splicing changes.
               ND: not determined; TCGA: the cancer genome atlas; TCGA-LIHC: the cancer genome atlas - liver hepatocellular carcinoma; TCGA-
               CHOL: the cancer genome atlas - cholangiocarcinoma


               EMT-associated chemoresistance
               EMT is the mechanism that leads to a transient and reversible de-differentiation of epithelial cells to a
                                    [196]
               mesenchymal phenotype . Changes occurred during EMT are evidenced by the loss of epithelial markers,
               such as E-cadherin  and the increased expression of mesenchymal proteins such as N-cadherin, a-smooth
                               [197]
               muscle actin (a-SMA), fibroblast-specific protein (FSP-1) and EMT-transcription factors Snail (SNA1), Slug
               (SNA2), Twist and ZEB . Among them, Snail is the most prominent inducer of EMT in HCC . Although
                                                                                              [198]
                                   [196]
               several somatic mutations in genes involved in EMT have been described [Table 10], the actual role in HCC
               chemoresistance of the resulting variants is not known.

               In healthy biliary epithelium, E-cadherin is located at the plasma membrane of cholangiocytes, whereas in
               malignant CCA cells down-regulation and cytoplasmic internalization of E-cadherin occurs. Mutations
               and epigenetic silencing by the hypermethylation of E-cadherin gene (CDH1) are some of the mechanisms
               accounting for its down-regulation, which correlates with poor tumor differentiation and metastasis [199-204] .
               Interestingly,  CCA  cells  exhibiting  mesenchymal  traits  are  more  resistant  to  gemcitabine  than  those
               characterized by a prominent epithelial phenotype . In the case of HCC, the overexpression of nestin, a
                                                           [205]
               type VI intermediate filament protein, has been associated with EMT and chemoresistance [206] .

               Alternative splicing may also affect EMT. The functional consequences of differential splicing in EMT is
               illustrated by p120 catenin, the adhesion protein cluster of differentiation 44 (CD44), and FGFR2. Many
               changes affecting alternative splicing during EMT come from the rapid down-regulation of two RNA-
               binding proteins: epithelial splicing regulatory protein 1 (ESRP1) and ESRP2. Their down-regulation results
               in the generation of pro-mesenchymal protein isoforms that lead to alterations in adhesion, motility and
               signaling pathways [207-209] .


               CONCLUSION
               The information summarized in the present review clearly shows that germline and somatic mutations in
               genes involved in MOC play an important role in the overall response of HCC and CCA to chemotherapy.
               Although a remarkable advance in the identification and characterization of the functional consequences of
               these mutations has been achieved in the last decade it is evident that our current knowledge of this problem
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