Unknown

Dataset Information

Development and validation of an integrative methylation signature and nomogram for predicting survival in clear cell renal cell carcinoma.


ABSTRACT:

Background

Growing evidence has shown that genetic or epigenetic alterations are highly involved in the initiation and progression of renal cell carcinoma (RCC). This study aimed to find prognostic methylation markers in clear cell RCC (ccRCC).

Methods

In this study, we developed and confirmed an integrated and comprehensive methylation signature by integrating DNA methylation, gene expression, and The Cancer Genome Atlas (TCGA) survival data. First, the methylation signature was found and checked based on data analysis of published datasets. Then, independent predictive factors were selected using the Cox proportional model and incorporated into the nomogram. Finally, the predictive nomogram was derived and validated using a concordance index and calibration plots.

Resul

SUBMITTER: Peng Q 

PROVIDER: S-EPMC7354314 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature