A novel DNA methylation-based model that effectively predicts prognosis in hepatocellular carcinoma.

ABSTRACT: To build a novel predictive model for hepatocellular carcinoma (HCC) patients based on DNA methylation data. Four independent DNA methylation datasets for HCC were used to screen for common differentially methylated genes (CDMGs). Gene Ontology (GO) enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were used to explore the biological roles of CDMGs in HCC. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) Cox analysis were performed to identify survival-related CDMGs (SR-CDMGs) and to build a predictive model. The importance of this model was assessed using Cox regression analysis, propensity score-matched (PSM) analysis and stratification analysis. A validation group from the Cancer Genome Atlas (TCGA) was construc

SUBMITTER: Hao XY 

PROVIDER: S-EPMC7955104 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature