Ontology highlight
ABSTRACT: Background
Despite using prognostic algorithms and standard surveillance guidelines, 17% of patients initially diagnosed with low risk clear cell renal cell carcinoma (ccRCC) ultimately relapse and die of recurrent disease, indicating additional molecular parameters are needed for improved prognosis.Results
To address the gap in ccRCC prognostication in the lower risk population, we performed a genome-wide analysis for methylation signatures capable of distinguishing recurrent and non-recurrent ccRCCs within the subgroup classified as 'low risk' by the Mayo Clinic Stage, Size, Grade, and Necrosis score (SSIGN 0-3). This approach revealed that recurrent patients have globally hypermethylated tumors and differ in methylation significantly at 5929 CpGs. Differentially methylated CpGs (DMCpGs) were enriched in regulatory regions and genes modulating cell growth and invasion. A subset of DMCpGs stratified low SSIGN groups into high and low risk of recurrence in independent data sets, indicating that DNA methylation enhances the prognostic power of the SSIGN score.Conclusions
This study reports a global DNA hypermethylation in tumors of recurrent ccRCC patients. Furthermore, DMCpGs were capable of discriminating between aggressive and less aggressive tumors, in addition to SSIGN score. Therefore, DNA methylation presents itself as a potentially strong biomarker to further improve prognostic power in patients with low risk SSIGN score (0-3).
SUBMITTER: El Khoury LY
PROVIDER: S-EPMC7814746 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
El Khoury Louis Y LY Fu Shuang S Hlady Ryan A RA Wagner Ryan T RT Wang Liguo L Eckel-Passow Jeanette E JE Castle Erik P EP Stanton Melissa L ML Thompson R Houston RH Parker Alexander S AS Ho Thai H TH Robertson Keith D KD
Clinical epigenetics 20210118 1
<h4>Background</h4>Despite using prognostic algorithms and standard surveillance guidelines, 17% of patients initially diagnosed with low risk clear cell renal cell carcinoma (ccRCC) ultimately relapse and die of recurrent disease, indicating additional molecular parameters are needed for improved prognosis.<h4>Results</h4>To address the gap in ccRCC prognostication in the lower risk population, we performed a genome-wide analysis for methylation signatures capable of distinguishing recurrent an ...[more]