Bioinformatics analysis to screen DNA methylation-driven genes for prognosis of patients with bladder cancer.

ABSTRACT:

Background

Bladder cancer (BLCA) is the most prevalent tumor affecting the urinary system, and has contributed to a rise in morbidity and mortality rates. Herein, we sought to identify the methylation-driven genes (MDGs)of BLCA in an effort to develop prognostic biomarkers suitable for the individualized assessment of patients with this particular cancer.

Methods

The Cancer Genome Atlas (TCGA) dataset was distributed into training set (n=272) and testing set(n=117). The ConsensusClusterPluspackage was used to identify BLCA subtypes. The ChAMP package was used to analyze differential methylation probe (DMP) and differential methylation region (DMR). The differentially expressed genes (DEGs) were detected using DESeq2. Gene Ontology (GO) term enrichment and Kyoto Encyclopedia

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC8511533 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature