Ontology highlight
ABSTRACT: Background
Mitochondrial-related pathways (MRPs) play a crucial role in cancer metabolism and progression; however, their prognostic value in breast cancer (BC) is still poorly understood.Methods
We integrated multiomics data to investigate the landscape of MRPs in BC. A mitochondria pathways-associated signature (MPAS) was established using multimachine learning framework and interpreted by SHAP analysis across independent BC cohorts. Additionally, a series of functional experiments were employed to explore the role of RNA exonuclease 2 (REXO2) in BC cells.Results
MRPs are extensively activated in BC at multiomics level. MPAS demonstrates outstanding predictive performance across multiple BC cohorts, with high scores indicating poor clinical outcomes. Moreover, it
SUBMITTER: Guo Z
PROVIDER: S-EPMC12910182 | biostudies-literature | 2026
REPOSITORIES: biostudies-literature