A lipid metabolism-related gene signature for risk stratification and prognosis prediction in patients with breast cancer.

ABSTRACT: Breast cancer (BC) is among the cancers with the highest incidence rates. Although multiple therapies are available, there is an unmet need for prediction of prognoses and treatment responses. Increasing evidence has shown that lipid metabolism is important for the development of BC. The tumor-promoting role of lipid metabolism in BC has inspired us to build a model to predict prognosis and stratify patients using lipid metabolism-related genes (LMRGs) that may reflect the underlying biological mechanisms of BC. We identified a list of genes involved in lipid metabolism that were associated with the overall survival of BC. The above genes were selected by the least absolute shrinkage and selection operator (LASSO) method to avoid overfitting, and the stepwise Cox proportional hazards regre

SUBMITTER: Mai W 

PROVIDER: S-EPMC12297606 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature