Identification of glycolysis-related genes and analysis of potential prognostic clinical application in oral squamous cell carcinoma.

ABSTRACT:

Background

Glycolysis is a crucial metabolic pathway for energy production in tumor cells. This study aimed to identify glycolysis-related genes (GRGs) that are linked to the prognosis of oral squamous cell carcinoma (OSCC) and to develop a prognostic model based on these GRGs.

Methods

Transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) database. A gene set enrichment analysis (GSEA), univariate and multivariate Cox proportional hazards analyses, and a least absolute shrinkage and selection operator (LASSO) regression analysis were used to identify the prognostically relevant GRGs, and construct a predictive model and risk-score system. A nomogram integrating the gene-based risk signature and clinical variables was subsequently established. The predictive p

SUBMITTER: Chen R 

PROVIDER: S-EPMC12268646 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature