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Heterogeneity at the invasion front of triple negative breast cancer cells

Identifying better predictive and prognostic biomarkers for the diagnosis and treatment of triple negative breast cancer (TNBC) is complicated by tumor heterogeneity ranging from responses to therapy, mutational burden, and clonal evolution. To overcome the gap in our understanding of tumor heteroge...

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Autores principales: Aw Yong, Koh Meng, Ulintz, Peter J., Caceres, Sara, Cheng, Xu, Bao, Liwei, Wu, Zhifen, Jiagge, Evelyn M., Merajver, Sofia D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113246/
https://www.ncbi.nlm.nih.gov/pubmed/32238832
http://dx.doi.org/10.1038/s41598-020-62516-8
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author Aw Yong, Koh Meng
Ulintz, Peter J.
Caceres, Sara
Cheng, Xu
Bao, Liwei
Wu, Zhifen
Jiagge, Evelyn M.
Merajver, Sofia D.
author_facet Aw Yong, Koh Meng
Ulintz, Peter J.
Caceres, Sara
Cheng, Xu
Bao, Liwei
Wu, Zhifen
Jiagge, Evelyn M.
Merajver, Sofia D.
author_sort Aw Yong, Koh Meng
collection PubMed
description Identifying better predictive and prognostic biomarkers for the diagnosis and treatment of triple negative breast cancer (TNBC) is complicated by tumor heterogeneity ranging from responses to therapy, mutational burden, and clonal evolution. To overcome the gap in our understanding of tumor heterogeneity, we hypothesized that isolating and studying the gene expression profile of invasive tumor cell subpopulations would be a crucial step towards achieving this goal. In this report, we utilized a fluidic device previously reported to be capable of supporting long-term three-dimensional growth and invasion dynamics of cancer cells. Live invading and matched non-invading SUM149 inflammatory breast cancer cells were enriched using this device and these two functionally distinct subpopulations were tested for differences in gene expression using a gene expression microarray. 305 target genes were identified to have altered expression in the invading cells compared to the non-invading tumoroid cells. Gene ontology analysis of the gene panel identified multiple biological roles ranging from extracellular matrix reorganization to modulation of the immune response and Rho signaling. Interestingly, the genes associated with the invasion front differ between different samples, consistent with inter- and intra-tumor heterogeneity. This work suggests the impact of heterogeneity in biomarker discovery should be considered as cancer therapy increasingly heads towards a personalized approach.
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spelling pubmed-71132462020-04-06 Heterogeneity at the invasion front of triple negative breast cancer cells Aw Yong, Koh Meng Ulintz, Peter J. Caceres, Sara Cheng, Xu Bao, Liwei Wu, Zhifen Jiagge, Evelyn M. Merajver, Sofia D. Sci Rep Article Identifying better predictive and prognostic biomarkers for the diagnosis and treatment of triple negative breast cancer (TNBC) is complicated by tumor heterogeneity ranging from responses to therapy, mutational burden, and clonal evolution. To overcome the gap in our understanding of tumor heterogeneity, we hypothesized that isolating and studying the gene expression profile of invasive tumor cell subpopulations would be a crucial step towards achieving this goal. In this report, we utilized a fluidic device previously reported to be capable of supporting long-term three-dimensional growth and invasion dynamics of cancer cells. Live invading and matched non-invading SUM149 inflammatory breast cancer cells were enriched using this device and these two functionally distinct subpopulations were tested for differences in gene expression using a gene expression microarray. 305 target genes were identified to have altered expression in the invading cells compared to the non-invading tumoroid cells. Gene ontology analysis of the gene panel identified multiple biological roles ranging from extracellular matrix reorganization to modulation of the immune response and Rho signaling. Interestingly, the genes associated with the invasion front differ between different samples, consistent with inter- and intra-tumor heterogeneity. This work suggests the impact of heterogeneity in biomarker discovery should be considered as cancer therapy increasingly heads towards a personalized approach. Nature Publishing Group UK 2020-04-01 /pmc/articles/PMC7113246/ /pubmed/32238832 http://dx.doi.org/10.1038/s41598-020-62516-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Aw Yong, Koh Meng
Ulintz, Peter J.
Caceres, Sara
Cheng, Xu
Bao, Liwei
Wu, Zhifen
Jiagge, Evelyn M.
Merajver, Sofia D.
Heterogeneity at the invasion front of triple negative breast cancer cells
title Heterogeneity at the invasion front of triple negative breast cancer cells
title_full Heterogeneity at the invasion front of triple negative breast cancer cells
title_fullStr Heterogeneity at the invasion front of triple negative breast cancer cells
title_full_unstemmed Heterogeneity at the invasion front of triple negative breast cancer cells
title_short Heterogeneity at the invasion front of triple negative breast cancer cells
title_sort heterogeneity at the invasion front of triple negative breast cancer cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113246/
https://www.ncbi.nlm.nih.gov/pubmed/32238832
http://dx.doi.org/10.1038/s41598-020-62516-8
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