Network models of prostate cancer immune microenvironments identify ROMO1 as heterogeneity and prognostic marker.

ABSTRACT: Prostate cancer (PCa) is the fifth leading cause of death from cancer in men worldwide. Its treatment remains challenging due to the heterogeneity of the tumor, mainly because of the lack of effective and targeted prognostic markers at the system biology level. First, the data were retrieved from TCGA dataset, and valid samples were obtained by consistent clustering and principal component analysis; next, key genes were analyzed for prognosis of PCa using WGCNA, MEGENA, and LASSO Cox regression model analysis, while key genes were screened based on disease-free survival significance. Finally, TIMER data were selected to explore the relationship between genes and tumor immune infiltration, and GSCAlite was used to explore the small-molecule targeted drugs that act with them. Here, we used t

SUBMITTER: Wang L 

PROVIDER: S-EPMC8741951 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature