Metabolic classification of bladder cancer based on multi-omics integrated analysis to predict patient prognosis and treatment response.

ABSTRACT:

Background

Currently, no molecular classification is established for bladder cancer based on metabolic characteristics. Therefore, we conducted a comprehensive analysis of bladder cancer metabolism-related genes using multiple publicly available datasets and aimed to identify subtypes according to distinctive metabolic characteristics.

Methods

RNA-sequencing data of The Cancer Genome Atlas were subjected to non-negative matrix fractionation to classify bladder cancer according to metabolism-related gene expression; Gene Expression Omnibus and ArrayExpress datasets were used as validation cohorts. The sensitivity of metabolic types to predicted immunotherapy and chemotherapy was assessed. Kaplan-Meier curves were plotted to assess patient survival. Differentially expressed ge

SUBMITTER: Tang C 

PROVIDER: S-EPMC8117567 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature