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Molecular Subtyping of Serous Ovarian Tumors Reveals Multiple Connections to Intrinsic Breast Cancer Subtypes

OBJECTIVE: 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 w...

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Autores principales: Jönsson, Jenny-Maria, Johansson, Ida, Dominguez-Valentin, Mev, Kimbung, Siker, Jönsson, Mats, Bonde, Jesper Hansen, Kannisto, Päivi, Måsbäck, Anna, Malander, Susanne, Nilbert, Mef, Hedenfalk, Ingrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4166462/
https://www.ncbi.nlm.nih.gov/pubmed/25226589
http://dx.doi.org/10.1371/journal.pone.0107643
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author Jönsson, Jenny-Maria
Johansson, Ida
Dominguez-Valentin, Mev
Kimbung, Siker
Jönsson, Mats
Bonde, Jesper Hansen
Kannisto, Päivi
Måsbäck, Anna
Malander, Susanne
Nilbert, Mef
Hedenfalk, Ingrid
author_facet Jönsson, Jenny-Maria
Johansson, Ida
Dominguez-Valentin, Mev
Kimbung, Siker
Jönsson, Mats
Bonde, Jesper Hansen
Kannisto, Päivi
Måsbäck, Anna
Malander, Susanne
Nilbert, Mef
Hedenfalk, Ingrid
author_sort Jönsson, Jenny-Maria
collection PubMed
description OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
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spelling pubmed-41664622014-09-22 Molecular Subtyping of Serous Ovarian Tumors Reveals Multiple Connections to Intrinsic Breast Cancer Subtypes Jönsson, Jenny-Maria Johansson, Ida Dominguez-Valentin, Mev Kimbung, Siker Jönsson, Mats Bonde, Jesper Hansen Kannisto, Päivi Måsbäck, Anna Malander, Susanne Nilbert, Mef Hedenfalk, Ingrid PLoS One Research Article OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. Public Library of Science 2014-09-16 /pmc/articles/PMC4166462/ /pubmed/25226589 http://dx.doi.org/10.1371/journal.pone.0107643 Text en © 2014 Jönsson 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
Jönsson, Jenny-Maria
Johansson, Ida
Dominguez-Valentin, Mev
Kimbung, Siker
Jönsson, Mats
Bonde, Jesper Hansen
Kannisto, Päivi
Måsbäck, Anna
Malander, Susanne
Nilbert, Mef
Hedenfalk, Ingrid
Molecular Subtyping of Serous Ovarian Tumors Reveals Multiple Connections to Intrinsic Breast Cancer Subtypes
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4166462/
https://www.ncbi.nlm.nih.gov/pubmed/25226589
http://dx.doi.org/10.1371/journal.pone.0107643
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