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Dataset Information

DNA methylation regulator-based signature for predicting clear cell renal cell carcinoma prognosis.


ABSTRACT:

Objectives

To investigate the role of DNA methylation regulators in the prognosis of clear cell renal cell carcinoma (ccRCC) and to construct a DNA methylation regulator-based signature for predicting patient outcome.

Methods

Data from the TCGA dataset were downloaded and analyzed to identify differentially expressed DNA methylation regulators and their interaction as well as correlation. Consensus clustering was used to establish groups of ccRCC with distinct clinical outcomes. A prognostic signature based on two sets of DNA methylation regulators was established and validated in an independent cohort.

Results

Our analysis revealed that the expression levels of DNMT3B, MBD1, SMUG1, DNMT1, DNMT3A, TDG, TET3, MBD2, UHRF2, MBD3, UHRF1, and TET2 were significantly upregu

SUBMITTER: Gong W 

PROVIDER: S-EPMC10182479 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature