A signature constructed with mitophagy-related genes to predict the prognosis and therapy response for breast cancer.

ABSTRACT: Over the past decades, the incidence and mortality rates of breast cancer (BC) have increased rapidly; however, molecular biomarkers that can reliably detect BC are yet to be discovered. Our study aimed to identify a novel signature that can predict the prognosis of patients with BC. Data from the TCGA-BRCA cohort were analyzed using univariate Cox regression analysis, and least absolute shrinkage and selection operator (LASSO) analysis was performed to build a stable prognostic model. Subsequently, Kaplan-Meier (K-M) and receiver operating characteristic (ROC) analyses were performed to demonstrate the predictive power of our gene signature. Each patient was assigned to either a low- or high-risk group. Patients with high-risk BC had poorer survival than those with low-risk BC. Cox regres

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC9417220 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature