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Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments
Recent advances in genome wide transcriptional analysis have provided greater insights into the etiology and heterogeneity of breast cancer. Molecular signatures have been developed that stratify the conventional estrogen receptor positive or negative categories into subtypes that are associated wit...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756056/ https://www.ncbi.nlm.nih.gov/pubmed/24015230 http://dx.doi.org/10.1371/journal.pone.0072287 |
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author | Hu, Ying Bai, Ling Geiger, Thomas Goldberger, Natalie Walker, Renard C. Green, Jeffery E. Wakefield, Lalage M. Hunter, Kent W. |
author_facet | Hu, Ying Bai, Ling Geiger, Thomas Goldberger, Natalie Walker, Renard C. Green, Jeffery E. Wakefield, Lalage M. Hunter, Kent W. |
author_sort | Hu, Ying |
collection | PubMed |
description | Recent advances in genome wide transcriptional analysis have provided greater insights into the etiology and heterogeneity of breast cancer. Molecular signatures have been developed that stratify the conventional estrogen receptor positive or negative categories into subtypes that are associated with differing clinical outcomes. It is thought that the expression patterns of the molecular subtypes primarily reflect cell-of-origin or tumor driver mutations. In this study however, using a genetically engineered mouse mammary tumor model we demonstrate that the PAM50 subtype signature of tumors driven by a common oncogenic event can be significantly influenced by the genetic background on which the tumor arises. These results have important implications for interpretation of “snapshot” expression profiles, as well as suggesting that incorporation of genetic background effects may allow investigation into phenotypes not initially anticipated in individual mouse models of cancer. |
format | Online Article Text |
id | pubmed-3756056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37560562013-09-06 Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments Hu, Ying Bai, Ling Geiger, Thomas Goldberger, Natalie Walker, Renard C. Green, Jeffery E. Wakefield, Lalage M. Hunter, Kent W. PLoS One Research Article Recent advances in genome wide transcriptional analysis have provided greater insights into the etiology and heterogeneity of breast cancer. Molecular signatures have been developed that stratify the conventional estrogen receptor positive or negative categories into subtypes that are associated with differing clinical outcomes. It is thought that the expression patterns of the molecular subtypes primarily reflect cell-of-origin or tumor driver mutations. In this study however, using a genetically engineered mouse mammary tumor model we demonstrate that the PAM50 subtype signature of tumors driven by a common oncogenic event can be significantly influenced by the genetic background on which the tumor arises. These results have important implications for interpretation of “snapshot” expression profiles, as well as suggesting that incorporation of genetic background effects may allow investigation into phenotypes not initially anticipated in individual mouse models of cancer. Public Library of Science 2013-08-28 /pmc/articles/PMC3756056/ /pubmed/24015230 http://dx.doi.org/10.1371/journal.pone.0072287 Text en 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 Hu, Ying Bai, Ling Geiger, Thomas Goldberger, Natalie Walker, Renard C. Green, Jeffery E. Wakefield, Lalage M. Hunter, Kent W. Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments |
title | Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments |
title_full | Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments |
title_fullStr | Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments |
title_full_unstemmed | Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments |
title_short | Genetic Background May Contribute to PAM50 Gene Expression Breast Cancer Subtype Assignments |
title_sort | genetic background may contribute to pam50 gene expression breast cancer subtype assignments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756056/ https://www.ncbi.nlm.nih.gov/pubmed/24015230 http://dx.doi.org/10.1371/journal.pone.0072287 |
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