Integrated multi-omics analysis identifies SELENOP and PKMYT1 as immune-metabolic hub genes in breast cancer.

ABSTRACT:

Background

Metabolic reprogramming and immune evasion synergistically drive breast carcinogenesis, but their combined impact remains unclear.

Methods

Transcriptomic data from the TCGA and GEO cohorts were integrated. Differentially expressed genes were identified, followed by WGCNA to detect immune-correlated co-expression modules. Immune-metabolism-related genes (IMGs) were screened using Genecards. Four machine learning algorithms (LASSO, SVM, RF, XGBoost) identified hub genes. The diagnostic value was evaluated by Kaplan-Meier and ROC analysis. CIBERSORT quantified immune microenvironment associations. The expression profiles of genes in different cells were plotted using single-cell RNA data. IHC validated protein expression in clinical samples.

Results

Research h

SUBMITTER: Tang G 

PROVIDER: S-EPMC12354807 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature