Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.

<h4>Objective</h4>Transcriptional profiling of epithelial ovarian cancer has revealed molecular subtypes correlating to biological and clinical features. We aimed to determine gene expression differences between malignant, benign and borderline serous ovarian tumors, and investigate simi...

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Main Authors: Jenny-Maria Jönsson, Ida Johansson, Mev Dominguez-Valentin, Siker Kimbung, Mats Jönsson, Jesper Hansen Bonde, Päivi Kannisto, Anna Måsbäck, Susanne Malander, Mef Nilbert, Ingrid Hedenfalk
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0107643
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spelling doaj-85eda4e688ad494cb2cbd74e0846e38d2021-03-04T09:01:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10764310.1371/journal.pone.0107643Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.Jenny-Maria JönssonIda JohanssonMev Dominguez-ValentinSiker KimbungMats JönssonJesper Hansen BondePäivi KannistoAnna MåsbäckSusanne MalanderMef NilbertIngrid Hedenfalk<h4>Objective</h4>Transcriptional profiling of epithelial ovarian cancer has revealed molecular subtypes correlating to biological and clinical features. We aimed to determine gene expression differences between malignant, benign and borderline serous ovarian tumors, and investigate similarities with the well-established intrinsic molecular subtypes of breast cancer.<h4>Methods</h4>Global gene expression profiling using Illumina's HT12 Bead Arrays was applied to 59 fresh-frozen serous ovarian malignant, benign and borderline tumors. Nearest centroid classification was performed applying previously published gene profiles for the ovarian and breast cancer subtypes. Correlations to gene expression modules representing key biological breast cancer features were also sought. Validation was performed using an independent, publicly available dataset.<h4>Results</h4>5,944 genes were significantly differentially expressed between benign and malignant serous ovarian tumors, with cell cycle processes enriched in the malignant subgroup. Borderline tumors were split between the two clusters. Significant correlations between the malignant serous tumors and the highly aggressive ovarian cancer signatures, and the basal-like breast cancer subtype were found. The benign and borderline serous tumors together were significantly correlated to the normal-like breast cancer subtype and the ovarian cancer signature derived from borderline tumors. The borderline tumors in the study dataset, in addition, also correlated significantly to the luminal A breast cancer subtype. These findings remained when analyzed in an independent dataset, supporting links between the molecular subtypes of ovarian cancer and breast cancer beyond those recently acknowledged.<h4>Conclusions</h4>These data link the transcriptional profiles of serous ovarian cancer to the intrinsic molecular subtypes of breast cancer, in line with the shared clinical and molecular features between high-grade serous ovarian cancer and basal-like breast cancer, and suggest that biomarkers and targeted therapies may overlap between these tumor subsets. The link between benign and borderline ovarian cancer and luminal breast cancer may indicate endocrine responsiveness in a subset of ovarian cancers.https://doi.org/10.1371/journal.pone.0107643
collection DOAJ
language English
format Article
sources DOAJ
author Jenny-Maria Jönsson
Ida Johansson
Mev Dominguez-Valentin
Siker Kimbung
Mats Jönsson
Jesper Hansen Bonde
Päivi Kannisto
Anna Måsbäck
Susanne Malander
Mef Nilbert
Ingrid Hedenfalk
spellingShingle Jenny-Maria Jönsson
Ida Johansson
Mev Dominguez-Valentin
Siker Kimbung
Mats Jönsson
Jesper Hansen Bonde
Päivi Kannisto
Anna Måsbäck
Susanne Malander
Mef Nilbert
Ingrid Hedenfalk
Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
PLoS ONE
author_facet Jenny-Maria Jönsson
Ida Johansson
Mev Dominguez-Valentin
Siker Kimbung
Mats Jönsson
Jesper Hansen Bonde
Päivi Kannisto
Anna Måsbäck
Susanne Malander
Mef Nilbert
Ingrid Hedenfalk
author_sort Jenny-Maria Jönsson
title Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
title_short Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
title_full Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
title_fullStr Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
title_full_unstemmed Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
title_sort molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description <h4>Objective</h4>Transcriptional profiling of epithelial ovarian cancer has revealed molecular subtypes correlating to biological and clinical features. We aimed to determine gene expression differences between malignant, benign and borderline serous ovarian tumors, and investigate similarities with the well-established intrinsic molecular subtypes of breast cancer.<h4>Methods</h4>Global gene expression profiling using Illumina's HT12 Bead Arrays was applied to 59 fresh-frozen serous ovarian malignant, benign and borderline tumors. Nearest centroid classification was performed applying previously published gene profiles for the ovarian and breast cancer subtypes. Correlations to gene expression modules representing key biological breast cancer features were also sought. Validation was performed using an independent, publicly available dataset.<h4>Results</h4>5,944 genes were significantly differentially expressed between benign and malignant serous ovarian tumors, with cell cycle processes enriched in the malignant subgroup. Borderline tumors were split between the two clusters. Significant correlations between the malignant serous tumors and the highly aggressive ovarian cancer signatures, and the basal-like breast cancer subtype were found. The benign and borderline serous tumors together were significantly correlated to the normal-like breast cancer subtype and the ovarian cancer signature derived from borderline tumors. The borderline tumors in the study dataset, in addition, also correlated significantly to the luminal A breast cancer subtype. These findings remained when analyzed in an independent dataset, supporting links between the molecular subtypes of ovarian cancer and breast cancer beyond those recently acknowledged.<h4>Conclusions</h4>These data link the transcriptional profiles of serous ovarian cancer to the intrinsic molecular subtypes of breast cancer, in line with the shared clinical and molecular features between high-grade serous ovarian cancer and basal-like breast cancer, and suggest that biomarkers and targeted therapies may overlap between these tumor subsets. The link between benign and borderline ovarian cancer and luminal breast cancer may indicate endocrine responsiveness in a subset of ovarian cancers.
url https://doi.org/10.1371/journal.pone.0107643
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