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Liu et al.                                                                                                                                     Novel predictive and prognostic strategies of HBV-related HCC

           Table 2: Important somatic mutations and related signaling pathways of hepatocellular carcinoma
            Study          Population and sequencing   Etiology  Mutation frequency   Global gene mutation frequency of
                                                               of important genes
                                   method
                                                                                       signaling pathways
                                n = 24 (training),   Alcohol,   CTNNB1 (32.8%),    Wnt/β-catenin pathway (49.6%),
            Guichard et al. [67]  whole exome equencing;  HBV,   TP53 (20.8%),     p53/cell cycle pathway (32.8%),
                               n = 125 (validation),  HCV,      ARID1A (16.8%),     chromatin remodeling (22.4%),
                               Sanger sequencing      NASH       PIK3CA (1.6%)       PI3K/Ras pathway (12.8%)
                                                                CTNNB1 (16.0%),    Wnt/β-catenin pathway (62.5%),
                                   n = 88,                       IL6R (26.0%),      JAK/STAT pathway (45.5%),
            Kan et al. [68]                            HBV
                            whole genome sequencing              TP53 (35.2%),         p53 pathway (43.2%),
                                                                 AXIN1 (5.0%)           Apoptosis (45.5%)
                                                                CTNNB1 (16%),       Wnt/β-catenin pathway (31%),
                                                                  TP53 (32%),          p53 pathway (37%),
            Ahn et al. [69]        n = 231,           HBV,       CCND1 (5%),          cell cycle pathway (23%),
                             whole exome sequencing    HCV
                                                                 RPS6KA3 (5%),       PI3K/Ras pathway (12%),
                                                                 ARID1A (7%)         chromatin remodeling (34%)
                                                                CTNNB1 (31%),       Wnt/β-catenin pathway (66%),
                                                                  TP53 (31%),          p53 signaling (72%),
            Totoki et al. [70]     n = 608,           HBV,       ARID2 (10%),       chromatin remodeling (67%),
                             whole exome sequencing    HCV         NF1 (4%),        PI3k/mTOR signaling (45%),
                                                                  TERT (54%),       telomere maintenance (68%),
                                                                 NFE2L2 (5%)         Nrf2/Keap1 pathway (19%)
                                                                                    Wnt/β-catenin pathway (54%),
                                                                CTNNB1 (37%),          p53 pathway (49%),
                                                                  TP53 (24%),
                                                     Alcohol,     TERT (60%),       telomere maintenance (60%),
            Schulz et al. [71]     n = 235,           HBV,       ARID1A (13%),       PI3k/mTOR pathway (51%),
                             whole exome sequencing   HCV,                           MAP kinase pathway (43%),
                                                       NASH       ALB (13%),        hepatic differentiation (34%),
                                                                 AXIN1 (11%),        epigenetic regulation (32%),
                                                                 CDKN2A (9%)
                                                                                     chromatin remodeling (28%)
           HBV: hepatitis B virus; HCV: hepatitis C virus; NASH: nonalcoholic steatohepatitis; CTNNB1: catenin beta 1; TP53: tumor suppressor
           p53; ARID1A: AT rich interactive domain 1A; PIK3CA: phosphoinositide-3-kinase catalytic alpha polypeptide; IL6R: interleukin 6 receptor;
           CCND1: cyclin D1; RPS6KA3: ribosomal protein S6 kinase polypeptide 3; ARID2: AT rich interactive domain 2; NF1: neurofibromin 1;
           TERT: telomerase reverse transcriptase; NFE2L2: nuclear factor (erythroid-derived 2)-like 2; CDKN2A: cyclin-dependent kinase inhibitor
           2A; JAK: Janus kinase; STAT: signal transducer and activator of transcription; MAP: methionine aminopeptidas
           limits the application of a single mutation. For example,   of cell cycle pathway which comprised 4 genes
           RB1 somatic mutation can serve as an independent   including RB1, MYC, CCND1, and RBL2. The total
           predictor for poor cancer-specific survival (HR 2.5,   mutation rate of those 4 genes were 23% and the
           95% CI: 1.05-5.93, P = 0.038) and early recurrence   signature was significantly associated with poor
           (OR 3.93, 95% CI: 1.29-11.90, P = 0.015). But the   cancer-specific and recurrence-free survival (P = 0.002
           frequencies of RB1 somatic mutation were only 3.4%   and P = 0.007, respectively). Therefore, it is promising
           and 7% among different studies. [68,69]  Similarly, somatic   to use combo somatic mutations as predictive and
           mutations of CDKN2A and FGF-CCND1 were proved      prognostic biomarkers.
           to be significantly associated with overall survival (P
                     -4
                                      -6
           = 3.0 × 10  and P = 7.4 × 10 respectively) and their   DETECTING CELLS WITH MALIGNANCY
           frequencies were both less than 5%. [70]           POTENTIAL AND THEIR HALLMARKS IN
                                                              PERIPHERAL BLOOD
           Although the spectrums and frequencies of altered
           genes  vary  greatly  among  individuals,  they  are   Circulating tumor cells
           clustered to pathways or function groups that      Release of cancer cells into the circulation is common
           are closely related with stemness and embryonic    in HCC patients. The appearance of circulating tumor
           characteristics. In this regard, global mutation rates   cells (CTC) in the blood stream characterizes the
           of functionally related genes are added together to   intermediate stage of tumor metastasis process. [72]  CTC
           define the mutation rate of a given signaling pathway.   test can be applied to monitor early metastasis, assess
           Mutation rates of Wnt/β-catenin, p53/cell cycle control,   the effectiveness of therapeutic options, and predict
           JAK/STAT, PI3k/mTOR, and MAP kinas signaling       the prognosis. [73]  A study examining blood samples of
           pathways range from 12% to 72%. Similar outstanding   123 HCC patients one month before and after tumor
                                                                                         +
           outcomes are also observed in function gene groups   resection indicated that EpCAM  CTCs were presented
           of chromatin remodeling and telomere maintenance.   in 66.67% of patients and that CTCs count in 7.5 mL
           Ahn et al. [69]  developed a somatic mutation signature   blood (CTC7.5) is an independent prognostic factor
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