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Dataset Information

Construction of diagnostic and subtyping models for renal cell carcinoma by genome-wide DNA methylation profiles.


ABSTRACT:

Background

Renal cell carcinoma (RCC) is one of the most common urological cancers and has a poor prognosis. RCC is classified into several subtypes, among which kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) are the two most common subtypes. Due to the lack of adequate screening and comparative analysis of RCC subtypes, effective diagnosis and treatment strategies have not yet been achieved.

Methods

In this study, 450K methylation array data were collected from The Cancer Genome Atlas (TCGA). The 'limma moderated t-test' and LASSO were used to construct diagnostic and subtyping models, and survival analysis was conducted online by GEPIA.

Results

We built a model with 15 methylation sites, which showed high diagnostic and sub

SUBMITTER: Zhang J 

PROVIDER: S-EPMC8661251 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature