Construction and validation of acetylation-related gene signatures for immune landscape analysis and prognostication risk prediction in luminal breast cancer.

ABSTRACT:

Background

Epigenetic acetylation plays an essential role in the development and drug resistance of luminal breast cancer. However, the acetylation regulatory network in luminal breast cancer remains underexplored.

Methods

We used the TCGA-BRCA database to explore the acetylation regulatory network in luminal breast cancer. Spearman correlation coefficients, Cox proportional hazards, and the STRING database were used to identify genes that were correlated with acetylation regulatory molecules in luminal breast cancer and could predict patient outcomes. An acetylation regulatory risk model was constructed via Consensus Cluster Plus and the LASSO risk model. GSEA, K‒M survival analysis, and receiver operating characteristic (ROC) curve analysis were used to analyze survival an

SUBMITTER: Zhu M 

PROVIDER: S-EPMC12302894 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature