Programmed cell death-related genes define distinct molecular subtypes and risk profiles in hepatocellular carcinoma.

ABSTRACT: Hepatocellular carcinoma (HCC) is a biologically and clinically heterogeneous malignancy, whose initiation and progression are increasingly recognized to be driven by the aberrant regulation of programmed cell death (PCD) pathways. To elucidate this association, we systematically integrated gene signatures from 21 distinct PCD types to characterize their expression patterns in HCC and construct a prognostic model for survival and therapeutic response prediction. Based on the TCGA-LIHC, GSE14520, and GSE116174 datasets, 85 candidate genes were identified through differential expression analysis and random survival forest algorithms. A 10-gene PCD-based risk score model was developed using machine learning including key genes such as KIF20A (associated with ferroptosis) and SLC2A1 (associate

SUBMITTER: Yang H 

PROVIDER: S-EPMC12549897 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature