Comprehensive analysis of fatty acid metabolism-related gene signatures for predicting prognosis in patients with prostate cancer.

ABSTRACT: Fatty acid metabolism (FAM) is an important factor in tumorigenesis and development. However, whether fatty acid metabolism (FAM)-related genes are associated with prostate cancer (PCa) prognosis is not known. Therefore, we established a novel prognostic model based on FAM-related genes to predict biochemical recurrence in PCa patients. First, PCa sequencing data were acquired from TCGA as the training cohort and GSE21032 as the validation cohort. Second, a prostate cancer prognostic model containing 10 FAM-related genes was constructed using univariate Cox and LASSO. Principal component analysis and t-distributed stochastic neighbour embedding analysis showed that the model was highly effective. Third, PCa patients were divided into high- and low-risk groups according to the model risk sc

SUBMITTER: Wang H 

PROVIDER: S-EPMC9838212 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature