Multi-omics characterization of cachexia-related genes reveals prognostic signatures and immune landscape in breast cancer.

ABSTRACT:

Background

Cancer cachexia is a multifactorial syndrome affecting cancer prognosis and immune microenvironment. However, the roles of cachexia-related genes (CRGs) in breast cancer remain unclear.

Methods

We performed differential expression analysis and weighted gene co-expression network analysis (WGCNA) on TCGA-BRCA data to identify key CRGs. A prognostic model was constructed using LASSO-Cox regression. Immune infiltration and treatment sensitivity were assessed, and single-cell RNA-seq analyses were conducted to explore gene function and cell-cell interactions.

Results

A total of 82 CRGs were identified, and an 11-gene prognostic model was constructed, showing high predictive accuracy across multiple cohorts. Based on this model, we created a new risk score (Cach

SUBMITTER: Wang S 

PROVIDER: S-EPMC12855450 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature