Identification of Metabolism-Associated Prostate Cancer Subtypes and Construction of a Prognostic Risk Model.

ABSTRACT:

Background

Despite being the second most common tumor in men worldwide, the tumor metabolism-associated mechanisms of prostate cancer (PCa) remain unclear. Herein, this study aimed to investigate the metabolism-associated characteristics of PCa and to develop a metabolism-associated prognostic risk model for patients with PCa.

Methods

The activity levels of PCa metabolic pathways were determined using mRNA expression profiling of The Cancer Genome Atlas Prostate Adenocarcinoma cohort via single-sample gene set enrichment analysis (ssGSEA). The analyzed samples were divided into three subtypes based on the partitioning around medication algorithm. Tumor characteristics of the subsets were then investigated using t-distributed stochastic neighbor embedding (t-SNE) analy

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC7726320 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature