Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors

<p>Abstract</p> <p>Background</p> <p>Genome-wide DNA hypomethylation plays a role in genomic instability and carcinogenesis. LINE-1 (L1 retrotransposon) constitutes a substantial portion of the human genome, and LINE-1 methylation correlates with global DNA methylation...

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Main Authors: Schernhammer Eva S, Hazra Aditi, Shima Kaori, Tanaka Noriko, Nosho Katsuhiko, Huttenhower Curtis, Baba Yoshifumi, Hunter David J, Giovannucci Edward L, Fuchs Charles S, Ogino Shuji
Format: Article
Language:English
Published: BMC 2010-05-01
Series:Molecular Cancer
Online Access:http://www.molecular-cancer.com/content/9/1/125
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spelling doaj-cd71362dd209458a903b1055a69a95b72020-11-24T21:02:16ZengBMCMolecular Cancer1476-45982010-05-019112510.1186/1476-4598-9-125Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumorsSchernhammer Eva SHazra AditiShima KaoriTanaka NorikoNosho KatsuhikoHuttenhower CurtisBaba YoshifumiHunter David JGiovannucci Edward LFuchs Charles SOgino Shuji<p>Abstract</p> <p>Background</p> <p>Genome-wide DNA hypomethylation plays a role in genomic instability and carcinogenesis. LINE-1 (L1 retrotransposon) constitutes a substantial portion of the human genome, and LINE-1 methylation correlates with global DNA methylation status. LINE-1 hypomethylation in colon cancer has been strongly associated with poor prognosis. However, whether LINE-1 hypomethylators constitute a distinct cancer subtype remains uncertain. Recent evidence for concordant LINE-1 hypomethylation within synchronous colorectal cancer pairs suggests the presence of a non-stochastic mechanism influencing tumor LINE-1 methylation level. Thus, it is of particular interest to examine whether its wide variation can be attributed to clinical, pathologic or molecular features.</p> <p>Design</p> <p>Utilizing a database of 869 colorectal cancers in two prospective cohort studies, we constructed multivariate linear and logistic regression models for LINE-1 methylation (quantified by Pyrosequencing). Variables included age, sex, body mass index, family history of colorectal cancer, smoking status, tumor location, stage, grade, mucinous component, signet ring cells, tumor infiltrating lymphocytes, CpG island methylator phenotype (CIMP), microsatellite instability, expression of TP53 (p53), CDKN1A (p21), CTNNB1 (β-catenin), PTGS2 (cyclooxygenase-2), and FASN, and mutations in <it>KRAS, BRAF</it>, and <it>PIK3CA</it>.</p> <p>Results</p> <p>Tumoral LINE-1 methylation ranged from 23.1 to 90.3 of 0-100 scale (mean 61.4; median 62.3; standard deviation 9.6), and distributed approximately normally except for extreme hypomethylators [LINE-1 methylation < 40; N = 22 (2.5%), which were far more than what could be expected by normal distribution]. LINE-1 extreme hypomethylators were significantly associated with younger patients (p = 0.0058). Residual plot by multivariate linear regression showed that LINE-1 extreme hypomethylators clustered as one distinct group, separate from the main tumor group. The multivariate linear regression model could explain 8.4% of the total variability of LINE-1 methylation (R-square = 0.084). Multivariate logistic regression models for binary LINE-1 hypomethylation outcomes (cutoffs of 40, 50 and 60) showed at most fair predictive ability (area under receiver operator characteristics curve < 0.63).</p> <p>Conclusions</p> <p>LINE-1 extreme hypomethylators appear to constitute a previously-unrecognized, distinct subtype of colorectal cancers, which needs to be confirmed by additional studies. Our tumor LINE-1 methylation data indicate enormous epigenomic diversity of individual colorectal cancers.</p> http://www.molecular-cancer.com/content/9/1/125
collection DOAJ
language English
format Article
sources DOAJ
author Schernhammer Eva S
Hazra Aditi
Shima Kaori
Tanaka Noriko
Nosho Katsuhiko
Huttenhower Curtis
Baba Yoshifumi
Hunter David J
Giovannucci Edward L
Fuchs Charles S
Ogino Shuji
spellingShingle Schernhammer Eva S
Hazra Aditi
Shima Kaori
Tanaka Noriko
Nosho Katsuhiko
Huttenhower Curtis
Baba Yoshifumi
Hunter David J
Giovannucci Edward L
Fuchs Charles S
Ogino Shuji
Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors
Molecular Cancer
author_facet Schernhammer Eva S
Hazra Aditi
Shima Kaori
Tanaka Noriko
Nosho Katsuhiko
Huttenhower Curtis
Baba Yoshifumi
Hunter David J
Giovannucci Edward L
Fuchs Charles S
Ogino Shuji
author_sort Schernhammer Eva S
title Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors
title_short Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors
title_full Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors
title_fullStr Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors
title_full_unstemmed Epigenomic diversity of colorectal cancer indicated by LINE-1 methylation in a database of 869 tumors
title_sort epigenomic diversity of colorectal cancer indicated by line-1 methylation in a database of 869 tumors
publisher BMC
series Molecular Cancer
issn 1476-4598
publishDate 2010-05-01
description <p>Abstract</p> <p>Background</p> <p>Genome-wide DNA hypomethylation plays a role in genomic instability and carcinogenesis. LINE-1 (L1 retrotransposon) constitutes a substantial portion of the human genome, and LINE-1 methylation correlates with global DNA methylation status. LINE-1 hypomethylation in colon cancer has been strongly associated with poor prognosis. However, whether LINE-1 hypomethylators constitute a distinct cancer subtype remains uncertain. Recent evidence for concordant LINE-1 hypomethylation within synchronous colorectal cancer pairs suggests the presence of a non-stochastic mechanism influencing tumor LINE-1 methylation level. Thus, it is of particular interest to examine whether its wide variation can be attributed to clinical, pathologic or molecular features.</p> <p>Design</p> <p>Utilizing a database of 869 colorectal cancers in two prospective cohort studies, we constructed multivariate linear and logistic regression models for LINE-1 methylation (quantified by Pyrosequencing). Variables included age, sex, body mass index, family history of colorectal cancer, smoking status, tumor location, stage, grade, mucinous component, signet ring cells, tumor infiltrating lymphocytes, CpG island methylator phenotype (CIMP), microsatellite instability, expression of TP53 (p53), CDKN1A (p21), CTNNB1 (β-catenin), PTGS2 (cyclooxygenase-2), and FASN, and mutations in <it>KRAS, BRAF</it>, and <it>PIK3CA</it>.</p> <p>Results</p> <p>Tumoral LINE-1 methylation ranged from 23.1 to 90.3 of 0-100 scale (mean 61.4; median 62.3; standard deviation 9.6), and distributed approximately normally except for extreme hypomethylators [LINE-1 methylation < 40; N = 22 (2.5%), which were far more than what could be expected by normal distribution]. LINE-1 extreme hypomethylators were significantly associated with younger patients (p = 0.0058). Residual plot by multivariate linear regression showed that LINE-1 extreme hypomethylators clustered as one distinct group, separate from the main tumor group. The multivariate linear regression model could explain 8.4% of the total variability of LINE-1 methylation (R-square = 0.084). Multivariate logistic regression models for binary LINE-1 hypomethylation outcomes (cutoffs of 40, 50 and 60) showed at most fair predictive ability (area under receiver operator characteristics curve < 0.63).</p> <p>Conclusions</p> <p>LINE-1 extreme hypomethylators appear to constitute a previously-unrecognized, distinct subtype of colorectal cancers, which needs to be confirmed by additional studies. Our tumor LINE-1 methylation data indicate enormous epigenomic diversity of individual colorectal cancers.</p>
url http://www.molecular-cancer.com/content/9/1/125
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