Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.

Despite improved outcomes in the past 30 years, less than half of all women diagnosed with epithelial ovarian cancer live five years beyond their diagnosis. Although typically treated as a single disease, epithelial ovarian cancer includes several distinct histological subtypes, such as papillary se...

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Main Authors: Diana L Kolbe, Julie A DeLoia, Patricia Porter-Gill, Mary Strange, Hanna M Petrykowska, Alfred Guirguis, Thomas C Krivak, Lawrence C Brody, Laura Elnitski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3293923?pdf=render
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spelling doaj-ec447d7aff364332828a57af8bfea5802020-11-25T02:39:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0173e3294110.1371/journal.pone.0032941Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.Diana L KolbeJulie A DeLoiaPatricia Porter-GillMary StrangeHanna M PetrykowskaAlfred GuirguisThomas C KrivakLawrence C BrodyLaura ElnitskiDespite improved outcomes in the past 30 years, less than half of all women diagnosed with epithelial ovarian cancer live five years beyond their diagnosis. Although typically treated as a single disease, epithelial ovarian cancer includes several distinct histological subtypes, such as papillary serous and endometrioid carcinomas. To address whether the morphological differences seen in these carcinomas represent distinct characteristics at the molecular level we analyzed DNA methylation patterns in 11 papillary serous tumors, 9 endometrioid ovarian tumors, 4 normal fallopian tube samples and 6 normal endometrial tissues, plus 8 normal fallopian tube and 4 serous samples from TCGA. For comparison within the endometrioid subtype we added 6 primary uterine endometrioid tumors and 5 endometrioid metastases from uterus to ovary. Data was obtained from 27,578 CpG dinucleotides occurring in or near promoter regions of 14,495 genes. We identified 36 locations with significant increases or decreases in methylation in comparisons of serous tumors and normal fallopian tube samples. Moreover, unsupervised clustering techniques applied to all samples showed three major profiles comprising mostly normal samples, serous tumors, and endometrioid tumors including ovarian, uterine and metastatic origins. The clustering analysis identified 60 differentially methylated sites between the serous group and the normal group. An unrelated set of 25 serous tumors validated the reproducibility of the methylation patterns. In contrast, >1,000 genes were differentially methylated between endometrioid tumors and normal samples. This finding is consistent with a generalized regulatory disruption caused by a methylator phenotype. Through DNA methylation analyses we have identified genes with known roles in ovarian carcinoma etiology, whereas pathway analyses provided biological insight to the role of novel genes. Our finding of differences between serous and endometrioid ovarian tumors indicates that intervention strategies could be developed to specifically address subtypes of epithelial ovarian cancer.http://europepmc.org/articles/PMC3293923?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Diana L Kolbe
Julie A DeLoia
Patricia Porter-Gill
Mary Strange
Hanna M Petrykowska
Alfred Guirguis
Thomas C Krivak
Lawrence C Brody
Laura Elnitski
spellingShingle Diana L Kolbe
Julie A DeLoia
Patricia Porter-Gill
Mary Strange
Hanna M Petrykowska
Alfred Guirguis
Thomas C Krivak
Lawrence C Brody
Laura Elnitski
Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
PLoS ONE
author_facet Diana L Kolbe
Julie A DeLoia
Patricia Porter-Gill
Mary Strange
Hanna M Petrykowska
Alfred Guirguis
Thomas C Krivak
Lawrence C Brody
Laura Elnitski
author_sort Diana L Kolbe
title Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
title_short Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
title_full Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
title_fullStr Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
title_full_unstemmed Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
title_sort differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Despite improved outcomes in the past 30 years, less than half of all women diagnosed with epithelial ovarian cancer live five years beyond their diagnosis. Although typically treated as a single disease, epithelial ovarian cancer includes several distinct histological subtypes, such as papillary serous and endometrioid carcinomas. To address whether the morphological differences seen in these carcinomas represent distinct characteristics at the molecular level we analyzed DNA methylation patterns in 11 papillary serous tumors, 9 endometrioid ovarian tumors, 4 normal fallopian tube samples and 6 normal endometrial tissues, plus 8 normal fallopian tube and 4 serous samples from TCGA. For comparison within the endometrioid subtype we added 6 primary uterine endometrioid tumors and 5 endometrioid metastases from uterus to ovary. Data was obtained from 27,578 CpG dinucleotides occurring in or near promoter regions of 14,495 genes. We identified 36 locations with significant increases or decreases in methylation in comparisons of serous tumors and normal fallopian tube samples. Moreover, unsupervised clustering techniques applied to all samples showed three major profiles comprising mostly normal samples, serous tumors, and endometrioid tumors including ovarian, uterine and metastatic origins. The clustering analysis identified 60 differentially methylated sites between the serous group and the normal group. An unrelated set of 25 serous tumors validated the reproducibility of the methylation patterns. In contrast, >1,000 genes were differentially methylated between endometrioid tumors and normal samples. This finding is consistent with a generalized regulatory disruption caused by a methylator phenotype. Through DNA methylation analyses we have identified genes with known roles in ovarian carcinoma etiology, whereas pathway analyses provided biological insight to the role of novel genes. Our finding of differences between serous and endometrioid ovarian tumors indicates that intervention strategies could be developed to specifically address subtypes of epithelial ovarian cancer.
url http://europepmc.org/articles/PMC3293923?pdf=render
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