A novel metabolic gene signature-based nomogram to predict overall survival in breast cancer

Abstract excerpt

BACKGROUND: Breast cancer risk prediction is often based on clinicopathological characteristics despite the high heterogeneity derived from gene expression. Metabolic alteration is a hallmark of cancer, and thus, the integration of a metabolic signature with clinical parameters is necessary to predict disease outcomes in breast cancers. METHODS: Metabolic genes were downloaded from the Gene Set Enrichment...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cancer, Hypoxia, and Metabolism
• Share to Cancer Risks and Factors
• Share to Ferroptosis and cancer prognosis