Glycolysis-related radiosensitivity signature for predicting radiotherapy response in breast cancer.

ABSTRACT:

Background

This study investigates the influence of glycolytic activity on the efficacy of radiotherapy in breast cancer (BRCA) patients, aiming to develop a glycolysis-related radiosensitivity signature to predict radiotherapy efficacy.

Methods

We categorized BRCA patients into low and high glycolysis groups using ssGSEA analysis based on 200 glycolysis-related genes. Univariate and multivariate Cox regression analyses, were used to construct a radiosensitivity signature. Immune cell infiltration and pathway enrichment analyses were conducted using ESTIMATE and CIBERSORT methods. The TIDE algorithm and pRRophetic algorithm were employed to predict responses to radiotherapy. Radioresistant BRCA cells were examined using CCK-8 assay. Key genes identified in the radiosensitivi

SUBMITTER: Lin X 

PROVIDER: S-EPMC12529102 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature