| Popis: |
We aimed to identify the progress of hepatocellular carcinoma (HCC)-specific gene set. Using the HCC data set from The Cancer Genome Atlas, we found that 10 genes were gradually up-graduated with the progress of HCC and associated with survival and classed as HCC-unfavorable gene set, while 29 genes were gradually down-graduated and associated with survival and classed as HCC-favorable gene set. Gene Set Variation Analysis (GSVA) was used to score individual samples against the two gene sets. ROC curve analysis showed both of HCC-unfavorable GSVA score and HCC-favorable GSVA score were reliable biomarkers for diagnosing HCC, tROC curve analysis and univariate/multivariate Cox proportional hazards analyses indicated that HCC-unfavorable GSVA score was an independently prognostic biomarkers. Moreover, the results were validated in an external independent data set. In addition, according to mutation and methylation analysis, we proposed that the aberrant expression of HCC-unfavorable gene may be driven by hypomethylation, not mutation. |
