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Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas

To clarify the significance of DNA methylation alterations during renal carcinogenesis, methylome analysis using single-CpG-resolution Infinium array was performed on 29 normal renal cortex tissue (C) samples, 107 non-cancerous renal cortex tissue (N) samples obtained from patients with clear cell r...

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Autores principales: Arai, Eri, Chiku, Suenori, Mori, Taisuke, Gotoh, 
Masahiro, Nakagawa, Tohru, Fujimoto, 
Hiroyuki, Kanai, Yae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418891/
https://www.ncbi.nlm.nih.gov/pubmed/22610075
http://dx.doi.org/10.1093/carcin/bgs177
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author Arai, Eri
Chiku, Suenori
Mori, Taisuke
Gotoh, 
Masahiro
Nakagawa, Tohru
Fujimoto, 
Hiroyuki
Kanai, Yae
author_facet Arai, Eri
Chiku, Suenori
Mori, Taisuke
Gotoh, 
Masahiro
Nakagawa, Tohru
Fujimoto, 
Hiroyuki
Kanai, Yae
author_sort Arai, Eri
collection PubMed
description To clarify the significance of DNA methylation alterations during renal carcinogenesis, methylome analysis using single-CpG-resolution Infinium array was performed on 29 normal renal cortex tissue (C) samples, 107 non-cancerous renal cortex tissue (N) samples obtained from patients with clear cell renal cell carcinomas (RCCs) and 109 tumorous tissue (T) samples. DNA methylation levels at 4830 CpG sites were already altered in N samples compared with C samples. Unsupervised hierarchical clustering analysis based on DNA methylation levels at the 801 CpG sites, where DNA methylation alterations had occurred in N samples and were inherited by and strengthened in T samples, clustered clear cell RCCs into Cluster A (n = 90) and Cluster B (n = 14). Clinicopathologically aggressive tumors were accumulated in Cluster B, and the cancer-free and overall survival rates of patients in this cluster were significantly lower than those of patients in Cluster A. Clear cell RCCs in Cluster B were characterized by accumulation of DNA hypermethylation on CpG islands and considered to be CpG island methylator phenotype (CIMP)-positive cancers. DNA hypermethylation of the CpG sites on the FAM150A, GRM6, ZNF540, ZFP42, ZNF154, RIMS4, PCDHAC1, KHDRBS2, ASCL2, KCNQ1, PRAC, WNT3A, TRH, FAM78A, ZNF671, SLC13A5 and NKX6-2 genes became hallmarks of CIMP in RCCs. On the other hand, Cluster A was characterized by genome-wide DNA hypomethylation. These data indicated that DNA methylation alterations at precancerous stages may determine tumor aggressiveness and patient outcome. Accumulation of DNA hypermethylation on CpG islands and genome-wide DNA hypomethylation may each underlie distinct pathways of renal carcinogenesis. Abbreviations: BAMCA: bacterial artificial chromosome array-based methylated CpG island amplification C: normal renal cortex tissue obtained from patients without any primary renal tumor CIMP: CpG island methylator phenotype HCC: hepatocellular carcinoma N: non-cancerous renal cortex tissue obtained from patients with clear cell renal cell carcinomas NCBI: National Center for Biotechnology Information RCC: renal cell carcinoma T: tumorous tissue TNM: Tumor-Node-Metastasis
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spelling pubmed-34188912012-08-14 Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas Arai, Eri Chiku, Suenori Mori, Taisuke Gotoh, 
Masahiro Nakagawa, Tohru Fujimoto, 
Hiroyuki Kanai, Yae Carcinogenesis Original Manuscript To clarify the significance of DNA methylation alterations during renal carcinogenesis, methylome analysis using single-CpG-resolution Infinium array was performed on 29 normal renal cortex tissue (C) samples, 107 non-cancerous renal cortex tissue (N) samples obtained from patients with clear cell renal cell carcinomas (RCCs) and 109 tumorous tissue (T) samples. DNA methylation levels at 4830 CpG sites were already altered in N samples compared with C samples. Unsupervised hierarchical clustering analysis based on DNA methylation levels at the 801 CpG sites, where DNA methylation alterations had occurred in N samples and were inherited by and strengthened in T samples, clustered clear cell RCCs into Cluster A (n = 90) and Cluster B (n = 14). Clinicopathologically aggressive tumors were accumulated in Cluster B, and the cancer-free and overall survival rates of patients in this cluster were significantly lower than those of patients in Cluster A. Clear cell RCCs in Cluster B were characterized by accumulation of DNA hypermethylation on CpG islands and considered to be CpG island methylator phenotype (CIMP)-positive cancers. DNA hypermethylation of the CpG sites on the FAM150A, GRM6, ZNF540, ZFP42, ZNF154, RIMS4, PCDHAC1, KHDRBS2, ASCL2, KCNQ1, PRAC, WNT3A, TRH, FAM78A, ZNF671, SLC13A5 and NKX6-2 genes became hallmarks of CIMP in RCCs. On the other hand, Cluster A was characterized by genome-wide DNA hypomethylation. These data indicated that DNA methylation alterations at precancerous stages may determine tumor aggressiveness and patient outcome. Accumulation of DNA hypermethylation on CpG islands and genome-wide DNA hypomethylation may each underlie distinct pathways of renal carcinogenesis. Abbreviations: BAMCA: bacterial artificial chromosome array-based methylated CpG island amplification C: normal renal cortex tissue obtained from patients without any primary renal tumor CIMP: CpG island methylator phenotype HCC: hepatocellular carcinoma N: non-cancerous renal cortex tissue obtained from patients with clear cell renal cell carcinomas NCBI: National Center for Biotechnology Information RCC: renal cell carcinoma T: tumorous tissue TNM: Tumor-Node-Metastasis Oxford University Press 2012-08 2012-05-18 /pmc/articles/PMC3418891/ /pubmed/22610075 http://dx.doi.org/10.1093/carcin/bgs177 Text en © The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0/uk/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Manuscript
Arai, Eri
Chiku, Suenori
Mori, Taisuke
Gotoh, 
Masahiro
Nakagawa, Tohru
Fujimoto, 
Hiroyuki
Kanai, Yae
Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas
title Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas
title_full Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas
title_fullStr Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas
title_full_unstemmed Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas
title_short Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas
title_sort single-cpg-resolution methylome analysis identifies clinicopathologically aggressive cpg island methylator phenotype clear cell renal cell carcinomas
topic Original Manuscript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418891/
https://www.ncbi.nlm.nih.gov/pubmed/22610075
http://dx.doi.org/10.1093/carcin/bgs177
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