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Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes
Breast cancer is a heterogeneous disease, having multiple subtypes with different malignant phenotypes. The triple-negative breast cancer, or basal breast cancer, is highly aggressive, metastatic, and difficult to treat. Previously, we identified that key molecules (IL6, CSF2, CCL5, VEGFA, and VEGFC...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648401/ https://www.ncbi.nlm.nih.gov/pubmed/26173622 http://dx.doi.org/10.1038/srep12133 |
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author | Fertig, Elana J. Lee, Esak Pandey, Niranjan B. Popel, Aleksander S. |
author_facet | Fertig, Elana J. Lee, Esak Pandey, Niranjan B. Popel, Aleksander S. |
author_sort | Fertig, Elana J. |
collection | PubMed |
description | Breast cancer is a heterogeneous disease, having multiple subtypes with different malignant phenotypes. The triple-negative breast cancer, or basal breast cancer, is highly aggressive, metastatic, and difficult to treat. Previously, we identified that key molecules (IL6, CSF2, CCL5, VEGFA, and VEGFC) secreted by tumor cells and stromal cells in basal breast cancer can promote metastasis. It remains to assess whether these molecules function similarly in other subtypes of breast cancer. Here, we characterize the relative gene expression of the five secreted molecules and their associated receptors (GP130, GMRA, GMRB, CCR5, VEGFR2, NRP1, VEGFR3, NRP2) in the basal, HER2 (human epidermal growth factor receptor 2) positive, luminal A, and luminal B subtypes using high throughput data from tumor samples in The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC). IL6 and CCL5 gene expression are basal breast cancer specific, whereas high gene expression of GP130 was observed in luminal A/B. VEGFA/C and CSF2 mRNA are overexpressed in HER2 positive breast cancer, with VEGFA and CSF2 also overexpressed in basal breast cancer. Further study of the specific protein function of these factors within their associated cancer subtypes may yield personalized biomarkers and treatment modalities. |
format | Online Article Text |
id | pubmed-4648401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46484012015-11-23 Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes Fertig, Elana J. Lee, Esak Pandey, Niranjan B. Popel, Aleksander S. Sci Rep Article Breast cancer is a heterogeneous disease, having multiple subtypes with different malignant phenotypes. The triple-negative breast cancer, or basal breast cancer, is highly aggressive, metastatic, and difficult to treat. Previously, we identified that key molecules (IL6, CSF2, CCL5, VEGFA, and VEGFC) secreted by tumor cells and stromal cells in basal breast cancer can promote metastasis. It remains to assess whether these molecules function similarly in other subtypes of breast cancer. Here, we characterize the relative gene expression of the five secreted molecules and their associated receptors (GP130, GMRA, GMRB, CCR5, VEGFR2, NRP1, VEGFR3, NRP2) in the basal, HER2 (human epidermal growth factor receptor 2) positive, luminal A, and luminal B subtypes using high throughput data from tumor samples in The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC). IL6 and CCL5 gene expression are basal breast cancer specific, whereas high gene expression of GP130 was observed in luminal A/B. VEGFA/C and CSF2 mRNA are overexpressed in HER2 positive breast cancer, with VEGFA and CSF2 also overexpressed in basal breast cancer. Further study of the specific protein function of these factors within their associated cancer subtypes may yield personalized biomarkers and treatment modalities. Nature Publishing Group 2015-07-15 /pmc/articles/PMC4648401/ /pubmed/26173622 http://dx.doi.org/10.1038/srep12133 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Fertig, Elana J. Lee, Esak Pandey, Niranjan B. Popel, Aleksander S. Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
title | Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
title_full | Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
title_fullStr | Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
title_full_unstemmed | Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
title_short | Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
title_sort | analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648401/ https://www.ncbi.nlm.nih.gov/pubmed/26173622 http://dx.doi.org/10.1038/srep12133 |
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