DNA methylation-driven gene-based drug response prediction model for liver cancer: The critical role of GLS.

ABSTRACT:

Background

Aberrant DNA methylation plays a pivotal role in cancer progression by enhancing oncogene activation or silencing tumor suppressor genes, contributing to malignant phenotypes. Methylation driver genes (MDGs) are characterized by an inverse correlation between DNA methylation levels and mRNA expression, making them critical targets for cancer research.

Methods

We analyzed the liver hepatocellular carcinoma (LIHC) dataset from The Cancer Genome Atlas (TCGA) using the R package MethylMix to identify MDGs. Prognostic models were developed through univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression to identify core genes. We further evaluated the associations of these genes with the tumor immune

SUBMITTER: Zheng S 

PROVIDER: S-EPMC12680199 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature