Comprehensive analysis of glycosyl transferase-related subtypes reveals prognostic genes and immune landscape in breast cancer.

ABSTRACT: Breast cancer (BC) exhibits extensive heterogeneity, complicating personalized treatment. Glycosyl transferases (GTs) are potential biomarkers for cancer treatment. Consensus clustering was performed on GT-related genes (GTRGs) in the The Cancer Genome Atlas Breast Cancer cohort. Clinical characteristics, survival outcomes, and molecular pathways were analyzed. Differences in the tumor microenvironment were assessed. Machine learning techniques (Lasso, random forest, XGBoost) identified hub GTRGs. A prognostic nomogram was constructed integrating hub GTRGs and clinical features. The cell validation experiments were finally performed. Two subtypes (C1 and C2) were identified, and C1 showed better survival than C2 (P = .0029). C1 had higher CD8 T cells and activated NK cells, while macrophag

SUBMITTER: Qiu JL 

PROVIDER: S-EPMC12323980 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature