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ZNF492 and GPR149 methylation patterns as prognostic markers for clear cell renal cell carcinoma: Array‑based DNA methylation profiling

Authors :
Ji Sang Kim
Yun-Sok Ha
Xuan Mei Piao
Ho Sun Shon
Sang Cheol Lee
Hyung Yoon Yoon
Seok Joong Yun
Sang-Won Kim
Ghil Suk Yoon
Sang Keun Lee
Ho Won Kang
Sung Min Kim
Yong-June Kim
Keun Ho Ryu
Wooyeong Jang
Sung Pil Seo
Won-Tae Kim
Wun-Jae Kim
Young Joon Byun
Tae Gyun Kwon
Source :
Oncology Reports.
Publication Year :
2019
Publisher :
Spandidos Publications, 2019.

Abstract

The present study aimed to identify novel methylation markers of clear cell renal cell carcinoma (ccRCC) using microarray methylation analysis and evaluate their prognostic relevance in patient samples. To identify cancer‑specific methylated biomarkers, microarray profiling of ccRCC samples from our institute (n=12) and The Cancer Genome Atlas (TCGA) database (n=160) were utilized, and the prognostic relevance of candidate genes were investigated in another TCGA dataset (n=153). For validation, pyrosequencing analyses with ccRCC samples from our institute (n=164) and another (n=117) were performed and the potential clinical application of selected biomarkers was examined. We identified 22 CpG island loci that were commonly hypermethylated in ccRCC. Kaplan‑Meier analysis of TCGA data indicated that only 4/22 loci were significantly associated with disease progression. In the internal validation set, Kaplan‑Meier analysis revealed that hypermethylation of two loci, zinc finger protein 492 (ZNF492) and G protein‑coupled receptor 149 (GPR149), was significantly associated with shorter time‑to‑progression. Multivariate Cox regression models revealed that hypermethylation of ZNF492 [hazard ratio (HR), 5.44; P=0.001] and GPR149 (HR, 7.07; P

Details

ISSN :
17912431 and 1021335X
Database :
OpenAIRE
Journal :
Oncology Reports
Accession number :
edsair.doi.dedup.....666becbe12fb9c304094824832e65833