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Dataset Information

Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer.


ABSTRACT:

Background

Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and a high recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify differentially expressed MAGs and construct a MAGs based prognostic risk signature for BC by using The Cancer Genome Atlas (TCGA) database and proteomics data.

Methods

RNA-sequence data from the TCGA database and proteomics data from our BC samples were used to identify differentially expressed MAGs and construct a MAGs based prognostic signature in BC. Subsequently, survival analysis and nomogram were used to evaluate the prognostic and predictive value of the MAGs based signature in BC. R

SUBMITTER: Shen C 

PROVIDER: S-EPMC7643334 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature