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Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample

BACKGROUND: The CpG island methylator phenotype (CIMP) is a distinct phenotype associated with microsatellite instability (MSI) and BRAF mutation in colon cancer. Recent investigations have selected 5 promoters (CACNA1G, IGF2, NEUROG1, RUNX3 and SOCS1) as surrogate markers for CIMP-high. However, no...

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Autores principales: Nosho, Katsuhiko, Irahara, Natsumi, Shima, Kaori, Kure, Shoko, Kirkner, Gregory J., Schernhammer, Eva S., Hazra, Aditi, Hunter, David J., Quackenbush, John, Spiegelman, Donna, Giovannucci, Edward L., Fuchs, Charles S., Ogino, Shuji
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579485/
https://www.ncbi.nlm.nih.gov/pubmed/19002263
http://dx.doi.org/10.1371/journal.pone.0003698
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author Nosho, Katsuhiko
Irahara, Natsumi
Shima, Kaori
Kure, Shoko
Kirkner, Gregory J.
Schernhammer, Eva S.
Hazra, Aditi
Hunter, David J.
Quackenbush, John
Spiegelman, Donna
Giovannucci, Edward L.
Fuchs, Charles S.
Ogino, Shuji
author_facet Nosho, Katsuhiko
Irahara, Natsumi
Shima, Kaori
Kure, Shoko
Kirkner, Gregory J.
Schernhammer, Eva S.
Hazra, Aditi
Hunter, David J.
Quackenbush, John
Spiegelman, Donna
Giovannucci, Edward L.
Fuchs, Charles S.
Ogino, Shuji
author_sort Nosho, Katsuhiko
collection PubMed
description BACKGROUND: The CpG island methylator phenotype (CIMP) is a distinct phenotype associated with microsatellite instability (MSI) and BRAF mutation in colon cancer. Recent investigations have selected 5 promoters (CACNA1G, IGF2, NEUROG1, RUNX3 and SOCS1) as surrogate markers for CIMP-high. However, no study has comprehensively evaluated an expanded set of methylation markers (including these 5 markers) using a large number of tumors, or deciphered the complex clinical and molecular associations with CIMP-high determined by the validated marker panel. METHOLODOLOGY/PRINCIPAL FINDINGS: DNA methylation at 16 CpG islands [the above 5 plus CDKN2A (p16), CHFR, CRABP1, HIC1, IGFBP3, MGMT, MINT1, MINT31, MLH1, p14 (CDKN2A/ARF) and WRN] was quantified in 904 colorectal cancers by real-time PCR (MethyLight). In unsupervised hierarchical clustering analysis, the 5 markers (CACNA1G, IGF2, NEUROG1, RUNX3 and SOCS1), CDKN2A, CRABP1, MINT31, MLH1, p14 and WRN were generally clustered with each other and with MSI and BRAF mutation. KRAS mutation was not clustered with any methylation marker, suggesting its association with a random methylation pattern in CIMP-low tumors. Utilizing the validated CIMP marker panel (including the 5 markers), multivariate logistic regression demonstrated that CIMP-high was independently associated with older age, proximal location, poor differentiation, MSI-high, BRAF mutation, and inversely with LINE-1 hypomethylation and β-catenin (CTNNB1) activation. Mucinous feature, signet ring cells, and p53-negativity were associated with CIMP-high in only univariate analysis. In stratified analyses, the relations of CIMP-high with poor differentiation, KRAS mutation and LINE-1 hypomethylation significantly differed according to MSI status. CONCLUSIONS: Our study provides valuable data for standardization of the use of CIMP-high-specific methylation markers. CIMP-high is independently associated with clinical and key molecular features in colorectal cancer. Our data also suggest that KRAS mutation is related with a random CpG island methylation pattern which may lead to CIMP-low tumors.
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spelling pubmed-25794852008-11-12 Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample Nosho, Katsuhiko Irahara, Natsumi Shima, Kaori Kure, Shoko Kirkner, Gregory J. Schernhammer, Eva S. Hazra, Aditi Hunter, David J. Quackenbush, John Spiegelman, Donna Giovannucci, Edward L. Fuchs, Charles S. Ogino, Shuji PLoS One Research Article BACKGROUND: The CpG island methylator phenotype (CIMP) is a distinct phenotype associated with microsatellite instability (MSI) and BRAF mutation in colon cancer. Recent investigations have selected 5 promoters (CACNA1G, IGF2, NEUROG1, RUNX3 and SOCS1) as surrogate markers for CIMP-high. However, no study has comprehensively evaluated an expanded set of methylation markers (including these 5 markers) using a large number of tumors, or deciphered the complex clinical and molecular associations with CIMP-high determined by the validated marker panel. METHOLODOLOGY/PRINCIPAL FINDINGS: DNA methylation at 16 CpG islands [the above 5 plus CDKN2A (p16), CHFR, CRABP1, HIC1, IGFBP3, MGMT, MINT1, MINT31, MLH1, p14 (CDKN2A/ARF) and WRN] was quantified in 904 colorectal cancers by real-time PCR (MethyLight). In unsupervised hierarchical clustering analysis, the 5 markers (CACNA1G, IGF2, NEUROG1, RUNX3 and SOCS1), CDKN2A, CRABP1, MINT31, MLH1, p14 and WRN were generally clustered with each other and with MSI and BRAF mutation. KRAS mutation was not clustered with any methylation marker, suggesting its association with a random methylation pattern in CIMP-low tumors. Utilizing the validated CIMP marker panel (including the 5 markers), multivariate logistic regression demonstrated that CIMP-high was independently associated with older age, proximal location, poor differentiation, MSI-high, BRAF mutation, and inversely with LINE-1 hypomethylation and β-catenin (CTNNB1) activation. Mucinous feature, signet ring cells, and p53-negativity were associated with CIMP-high in only univariate analysis. In stratified analyses, the relations of CIMP-high with poor differentiation, KRAS mutation and LINE-1 hypomethylation significantly differed according to MSI status. CONCLUSIONS: Our study provides valuable data for standardization of the use of CIMP-high-specific methylation markers. CIMP-high is independently associated with clinical and key molecular features in colorectal cancer. Our data also suggest that KRAS mutation is related with a random CpG island methylation pattern which may lead to CIMP-low tumors. Public Library of Science 2008-11-12 /pmc/articles/PMC2579485/ /pubmed/19002263 http://dx.doi.org/10.1371/journal.pone.0003698 Text en Nosho et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Nosho, Katsuhiko
Irahara, Natsumi
Shima, Kaori
Kure, Shoko
Kirkner, Gregory J.
Schernhammer, Eva S.
Hazra, Aditi
Hunter, David J.
Quackenbush, John
Spiegelman, Donna
Giovannucci, Edward L.
Fuchs, Charles S.
Ogino, Shuji
Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample
title Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample
title_full Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample
title_fullStr Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample
title_full_unstemmed Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample
title_short Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample
title_sort comprehensive biostatistical analysis of cpg island methylator phenotype in colorectal cancer using a large population-based sample
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579485/
https://www.ncbi.nlm.nih.gov/pubmed/19002263
http://dx.doi.org/10.1371/journal.pone.0003698
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