Ontology highlight
ABSTRACT: Background
Breast cancer exhibits profound molecular heterogeneity. Each subtype is characterized by distinct biological features, therapeutic responses, and prognostic outcomes. However, a unifying feature across most breast cancer subtypes is an adipocyte-enriched microenvironment. Dysregulated lipid metabolism drives tumor progression across subtypes.Aims
We developed a universal prognostic model independent of molecular classification based on fatty acid metabolism-related genes.Methods
Prognostic fatty acid metabolism-related genes were identified in the training set using univariate Cox regression. LASSO regression refined these genes to construct the fatty acid metabolic signature for prognosis (FAMOUS), enabling risk stratification. FAMOUS's prognostic utili
SUBMITTER: Song Y
PROVIDER: S-EPMC12789645 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature