DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups.

ABSTRACT:

Background

Bladder cancer (BCA) is the most common urinary tumor, but its pathogenesis is unclear, and the associated treatment strategy has rarely been updated. In recent years, a deeper understanding of tumor epigenetics has been gained, providing new opportunities for cancer detection and treatment.

Methods

We identified prognostic methylation sites based on DNA methylation profiles of BCA in the TCGA database and constructed a specific prognostic subgroup.

Results

Based on the consistent clustering of 402 CpGs, we identified seven subgroups that had a significant association with survival. The difference in DNA methylation levels was related to T stage, N stage, M stage, grade, sex, age, stage and prognosis. Finally, the prediction model was constructed using a Co

SUBMITTER: Tian Z 

PROVIDER: S-EPMC7302382 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature