A novel glycolysis-related gene signature for predicting prognosis and immunotherapy efficacy in breast cancer.

ABSTRACT:

Background

Previous studies have shown that glycolysis-related genes (GRGs) are associated with the development of breast cancer (BC), and the prognostic significance of GRGs in BC has been reported. Considering the heterogeneity of BC patients, which makes prognosis difficult to predict, and the fact that glycolysis is regulated by multiple genes, it is important to establish and evaluate new glycolysis-related prediction models in BC.

Methods

In total, 170 GRGs were selected from the GeneCards database. We analyzed data from the Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) database as a training set and data from the Gene Expression Omnibus (GEO) database as a validation cohort. Based on the overall survival data and the expression levels of GRGs, Cox regressi

SUBMITTER: Huang R 

PROVIDER: S-EPMC11880812 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature