Prognostic Biomarker Identification Through Integrating the Gene Signatures of Hepatocellular Carcinoma Properties.

ABSTRACT: Many molecular classification and prognostic gene signatures for hepatocellular carcinoma (HCC) patients have been established based on genome-wide gene expression profiling; however, their generalizability is unclear. Herein, we systematically assessed the prognostic effects of these gene signatures and identified valuable prognostic biomarkers by integrating these gene signatures. With two independent HCC datasets (GSE14520, N=242 and GSE54236, N=78), 30 published gene signatures were evaluated, and 11 were significantly associated with the overall survival (OS) of postoperative HCC patients in both datasets. The random survival forest models suggested that the gene signatures were superior to clinical characteristics for predicting the prognosis of the patients. Based on the 11 gene sig

SUBMITTER: Cai J 

PROVIDER: S-EPMC5440601 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature