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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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Autores principales: Kolbe, Diana L., DeLoia, Julie A., Porter-Gill, Patricia, Strange, Mary, Petrykowska, Hanna M., Guirguis, Alfred, Krivak, Thomas C., Brody, Lawrence C., Elnitski, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3293923/
https://www.ncbi.nlm.nih.gov/pubmed/22403726
http://dx.doi.org/10.1371/journal.pone.0032941
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author Kolbe, Diana L.
DeLoia, Julie A.
Porter-Gill, Patricia
Strange, Mary
Petrykowska, Hanna M.
Guirguis, Alfred
Krivak, Thomas C.
Brody, Lawrence C.
Elnitski, Laura
author_facet Kolbe, Diana L.
DeLoia, Julie A.
Porter-Gill, Patricia
Strange, Mary
Petrykowska, Hanna M.
Guirguis, Alfred
Krivak, Thomas C.
Brody, Lawrence C.
Elnitski, Laura
author_sort Kolbe, Diana L.
collection PubMed
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.
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spelling pubmed-32939232012-03-08 Differential Analysis of Ovarian and Endometrial Cancers Identifies a Methylator Phenotype Kolbe, Diana L. DeLoia, Julie A. Porter-Gill, Patricia Strange, Mary Petrykowska, Hanna M. Guirguis, Alfred Krivak, Thomas C. Brody, Lawrence C. Elnitski, Laura PLoS One Research Article 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. Public Library of Science 2012-03-05 /pmc/articles/PMC3293923/ /pubmed/22403726 http://dx.doi.org/10.1371/journal.pone.0032941 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Kolbe, Diana L.
DeLoia, Julie A.
Porter-Gill, Patricia
Strange, Mary
Petrykowska, Hanna M.
Guirguis, Alfred
Krivak, Thomas C.
Brody, Lawrence C.
Elnitski, Laura
Differential Analysis of Ovarian and Endometrial Cancers Identifies a Methylator Phenotype
title 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_short Differential Analysis of Ovarian and Endometrial Cancers Identifies a Methylator Phenotype
title_sort differential analysis of ovarian and endometrial cancers identifies a methylator phenotype
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3293923/
https://www.ncbi.nlm.nih.gov/pubmed/22403726
http://dx.doi.org/10.1371/journal.pone.0032941
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