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Systematic identification of the key candidate genes in breast cancer stroma

BACKGROUND: Tumor microenvironment, in particular the stroma, plays an important role in breast cancer cell invasion and metastasis. Investigation of the molecular characteristics of breast cancer stroma may reveal targets for future study. METHODS: The transcriptome profiles of breast cancer stroma...

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Autores principales: Wang, Yanxia, Xu, Hui, Zhu, Baoan, Qiu, Zhenling, Lin, Zaijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142385/
https://www.ncbi.nlm.nih.gov/pubmed/30237810
http://dx.doi.org/10.1186/s11658-018-0110-4
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author Wang, Yanxia
Xu, Hui
Zhu, Baoan
Qiu, Zhenling
Lin, Zaijun
author_facet Wang, Yanxia
Xu, Hui
Zhu, Baoan
Qiu, Zhenling
Lin, Zaijun
author_sort Wang, Yanxia
collection PubMed
description BACKGROUND: Tumor microenvironment, in particular the stroma, plays an important role in breast cancer cell invasion and metastasis. Investigation of the molecular characteristics of breast cancer stroma may reveal targets for future study. METHODS: The transcriptome profiles of breast cancer stroma and normal breast stroma were compared to identify differentially expressed genes (DEGs). The method was analysis of GSE26910 and GSE10797 datasets. Common DEGs were identified and then analyses of enriched pathways and hub genes were performed. RESULTS: A total of 146 DEGs were common to GSE26910 and GSE10797. The enriched pathways were associated with “extracellular matrix (ECM) organization”, “ECM-receptor interaction” and “focal adhesion”. Network analysis identified six key genes, including JUN, FOS, ATF3, STAT1, COL1A1 and FN1. Notably, COL1A1 and FN1 were identified for the first time as cancer stromal key genes associated with breast cancer invasion and metastasis. Oncome analysis showed that the high expression levels of COL1A1 and FN1 correlated to an advanced stage of breast cancer and poor clinical outcomes. CONCLUSIONS: We found that several conserved tumor stromal genes might regulate breast cancer invasion through ECM remodeling. The clinical outcome analyses of COL1A1 and FN1 suggest these two genes are promising targets for future studies.
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spelling pubmed-61423852018-09-20 Systematic identification of the key candidate genes in breast cancer stroma Wang, Yanxia Xu, Hui Zhu, Baoan Qiu, Zhenling Lin, Zaijun Cell Mol Biol Lett Short Report BACKGROUND: Tumor microenvironment, in particular the stroma, plays an important role in breast cancer cell invasion and metastasis. Investigation of the molecular characteristics of breast cancer stroma may reveal targets for future study. METHODS: The transcriptome profiles of breast cancer stroma and normal breast stroma were compared to identify differentially expressed genes (DEGs). The method was analysis of GSE26910 and GSE10797 datasets. Common DEGs were identified and then analyses of enriched pathways and hub genes were performed. RESULTS: A total of 146 DEGs were common to GSE26910 and GSE10797. The enriched pathways were associated with “extracellular matrix (ECM) organization”, “ECM-receptor interaction” and “focal adhesion”. Network analysis identified six key genes, including JUN, FOS, ATF3, STAT1, COL1A1 and FN1. Notably, COL1A1 and FN1 were identified for the first time as cancer stromal key genes associated with breast cancer invasion and metastasis. Oncome analysis showed that the high expression levels of COL1A1 and FN1 correlated to an advanced stage of breast cancer and poor clinical outcomes. CONCLUSIONS: We found that several conserved tumor stromal genes might regulate breast cancer invasion through ECM remodeling. The clinical outcome analyses of COL1A1 and FN1 suggest these two genes are promising targets for future studies. BioMed Central 2018-09-17 /pmc/articles/PMC6142385/ /pubmed/30237810 http://dx.doi.org/10.1186/s11658-018-0110-4 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Short Report
Wang, Yanxia
Xu, Hui
Zhu, Baoan
Qiu, Zhenling
Lin, Zaijun
Systematic identification of the key candidate genes in breast cancer stroma
title Systematic identification of the key candidate genes in breast cancer stroma
title_full Systematic identification of the key candidate genes in breast cancer stroma
title_fullStr Systematic identification of the key candidate genes in breast cancer stroma
title_full_unstemmed Systematic identification of the key candidate genes in breast cancer stroma
title_short Systematic identification of the key candidate genes in breast cancer stroma
title_sort systematic identification of the key candidate genes in breast cancer stroma
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142385/
https://www.ncbi.nlm.nih.gov/pubmed/30237810
http://dx.doi.org/10.1186/s11658-018-0110-4
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