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Extensive rewiring of epithelial-stromal co-expression networks in breast cancer
BACKGROUND: Epithelial-stromal crosstalk plays a critical role in invasive breast cancer pathogenesis; however, little is known on a systems level about how epithelial-stromal interactions evolve during carcinogenesis. RESULTS: We develop a framework for building genome-wide epithelial-stromal co-ex...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4471934/ https://www.ncbi.nlm.nih.gov/pubmed/26087699 http://dx.doi.org/10.1186/s13059-015-0675-4 |
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author | Oh, Eun-Yeong Christensen, Stephen M Ghanta, Sindhu Jeong, Jong Cheol Bucur, Octavian Glass, Benjamin Montaser-Kouhsari, Laleh Knoblauch, Nicholas W Bertos, Nicholas Saleh, Sadiq MI Haibe-Kains, Benjamin Park, Morag Beck, Andrew H |
author_facet | Oh, Eun-Yeong Christensen, Stephen M Ghanta, Sindhu Jeong, Jong Cheol Bucur, Octavian Glass, Benjamin Montaser-Kouhsari, Laleh Knoblauch, Nicholas W Bertos, Nicholas Saleh, Sadiq MI Haibe-Kains, Benjamin Park, Morag Beck, Andrew H |
author_sort | Oh, Eun-Yeong |
collection | PubMed |
description | BACKGROUND: Epithelial-stromal crosstalk plays a critical role in invasive breast cancer pathogenesis; however, little is known on a systems level about how epithelial-stromal interactions evolve during carcinogenesis. RESULTS: We develop a framework for building genome-wide epithelial-stromal co-expression networks composed of pairwise co-expression relationships between mRNA levels of genes expressed in the epithelium and stroma across a population of patients. We apply this method to laser capture micro-dissection expression profiling datasets in the setting of breast carcinogenesis. Our analysis shows that epithelial-stromal co-expression networks undergo extensive rewiring during carcinogenesis, with the emergence of distinct network hubs in normal breast, and estrogen receptor-positive and estrogen receptor-negative invasive breast cancer, and the emergence of distinct patterns of functional network enrichment. In contrast to normal breast, the strongest epithelial-stromal co-expression relationships in invasive breast cancer mostly represent self-loops, in which the same gene is co-expressed in epithelial and stromal regions. We validate this observation using an independent laser capture micro-dissection dataset and confirm that self-loop interactions are significantly increased in cancer by performing computational image analysis of epithelial and stromal protein expression using images from the Human Protein Atlas. CONCLUSIONS: Epithelial-stromal co-expression network analysis represents a new approach for systems-level analyses of spatially localized transcriptomic data. The analysis provides new biological insights into the rewiring of epithelial-stromal co-expression networks and the emergence of epithelial-stromal co-expression self-loops in breast cancer. The approach may facilitate the development of new diagnostics and therapeutics targeting epithelial-stromal interactions in cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0675-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4471934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44719342015-06-19 Extensive rewiring of epithelial-stromal co-expression networks in breast cancer Oh, Eun-Yeong Christensen, Stephen M Ghanta, Sindhu Jeong, Jong Cheol Bucur, Octavian Glass, Benjamin Montaser-Kouhsari, Laleh Knoblauch, Nicholas W Bertos, Nicholas Saleh, Sadiq MI Haibe-Kains, Benjamin Park, Morag Beck, Andrew H Genome Biol Research BACKGROUND: Epithelial-stromal crosstalk plays a critical role in invasive breast cancer pathogenesis; however, little is known on a systems level about how epithelial-stromal interactions evolve during carcinogenesis. RESULTS: We develop a framework for building genome-wide epithelial-stromal co-expression networks composed of pairwise co-expression relationships between mRNA levels of genes expressed in the epithelium and stroma across a population of patients. We apply this method to laser capture micro-dissection expression profiling datasets in the setting of breast carcinogenesis. Our analysis shows that epithelial-stromal co-expression networks undergo extensive rewiring during carcinogenesis, with the emergence of distinct network hubs in normal breast, and estrogen receptor-positive and estrogen receptor-negative invasive breast cancer, and the emergence of distinct patterns of functional network enrichment. In contrast to normal breast, the strongest epithelial-stromal co-expression relationships in invasive breast cancer mostly represent self-loops, in which the same gene is co-expressed in epithelial and stromal regions. We validate this observation using an independent laser capture micro-dissection dataset and confirm that self-loop interactions are significantly increased in cancer by performing computational image analysis of epithelial and stromal protein expression using images from the Human Protein Atlas. CONCLUSIONS: Epithelial-stromal co-expression network analysis represents a new approach for systems-level analyses of spatially localized transcriptomic data. The analysis provides new biological insights into the rewiring of epithelial-stromal co-expression networks and the emergence of epithelial-stromal co-expression self-loops in breast cancer. The approach may facilitate the development of new diagnostics and therapeutics targeting epithelial-stromal interactions in cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0675-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-19 2015 /pmc/articles/PMC4471934/ /pubmed/26087699 http://dx.doi.org/10.1186/s13059-015-0675-4 Text en © Oh et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Oh, Eun-Yeong Christensen, Stephen M Ghanta, Sindhu Jeong, Jong Cheol Bucur, Octavian Glass, Benjamin Montaser-Kouhsari, Laleh Knoblauch, Nicholas W Bertos, Nicholas Saleh, Sadiq MI Haibe-Kains, Benjamin Park, Morag Beck, Andrew H Extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
title | Extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
title_full | Extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
title_fullStr | Extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
title_full_unstemmed | Extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
title_short | Extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
title_sort | extensive rewiring of epithelial-stromal co-expression networks in breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4471934/ https://www.ncbi.nlm.nih.gov/pubmed/26087699 http://dx.doi.org/10.1186/s13059-015-0675-4 |
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