Construction of a fatty acid metabolism-related gene signature for predicting prognosis and immune response in breast cancer.

ABSTRACT: Background: Breast cancer has the highest incidence among malignant tumors in women, and its prevalence ranks first in global cancer morbidity. Aim: This study aimed to explore the feasibility of a prognostic model for patients with breast cancer based on the differential expression of genes related to fatty acid metabolism. Methods: The mRNA expression matrix of breast cancer and paracancer tissues was downloaded from The Cancer Genome Atlas database. The differentially expressed genes related to fatty acid metabolism were screened in R language. The TRRUST database was used to predict transcriptional regulators related to hub genes and construct an mRNA-transcription factor interaction network. A consensus clustering approach was used to identify different fatty acid

SUBMITTER: Qian L 

PROVIDER: S-EPMC10014556 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature