14-CpG-Based Signature Improves the Prognosis Prediction of Hepatocellular Carcinoma Patients.

ABSTRACT:

Background

Epigenetic dysregulation via alteration of DNA methylation often occurs during the development and progression of cancer, including hepatocellular carcinoma (HCC). In the past, many patterns of single-gene DNA methylation have been extensively explored in the context of HCC prognosis prediction. However, the combined model of a mixture of CpGs has rarely been evaluated. In the present study, we aimed to develop and validate a CpG-based signature model for HCC patient prognosis.

Methods

Data from methylation profiling of GSE73003, GSE37988, and GSE57958 from the Gene Expression Omnibus (GEO) database and 371 HCC patients from the Cancer Genome Atlas (TCGA) were downloaded. The 371 HCC patients were randomly divided into a development cohort (N = 263) and a v

SUBMITTER: Jiang HY 

PROVIDER: S-EPMC6970499 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature