Prognosis prediction and risk stratification of breast cancer patients based on a mitochondria-related gene signature.

ABSTRACT: As the malignancy with the highest global incidence, breast cancer represents a significant threat to women's health. Recent advances have shed light on the importance of mitochondrial function in cancer, particularly in metabolic reprogramming within tumors. Recognizing this, we developed a novel risk signature based on mitochondrial-related genes to improve prognosis prediction and risk stratification in breast cancer patients. In this study, transcriptome data and clinical features of breast cancer samples were extracted from two sources: the TCGA, serving as the training set, and the METABRIC, used as the independent validation set. We developed the signature using LASSO-Cox regression and assessed its prognostic efficacy via ROC curves. Furthermore, the signature was integrated with c

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10838276 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature