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Dataset Information

DNA methylation-based classification and identification of renal cell carcinoma prognosis-subgroups.


ABSTRACT:

Background

Renal cell carcinoma (RCC) is the most common kidney cancer and includes several molecular and histological subtypes with different clinical characteristics. The combination of DNA methylation and gene expression data can improve the classification of tumor heterogeneity, by incorporating differences at the epigenetic level and clinical features.

Methods

In this study, we identified the prognostic methylation and constructed specific prognosis-subgroups based on the DNA methylation spectrum of RCC from the TCGA database.

Results

Significant differences in DNA methylation profiles among the seven subgroups were revealed by consistent clustering using 3389 CpGs that indicated that were significant differences in prognosis. The specific DNA methylation pattern

SUBMITTER: Chen W 

PROVIDER: S-EPMC6636124 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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