Abstract:Background: Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and 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 f… Show more
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