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A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis()
Tractable human tissue-engineered 3D models of cancer that enable fine control of tumor growth, metabolism, and reciprocal interactions between different cell types in the tumor microenvironment promise to accelerate cancer research and pharmacologic testing. Progress to date mostly reflects the use...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994779/ https://www.ncbi.nlm.nih.gov/pubmed/29747161 http://dx.doi.org/10.1016/j.neo.2018.02.011 |
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author | Miller, Chris P. Tsuchida, Connor Zheng, Ying Himmelfarb, Jonathan Akilesh, Shreeram |
author_facet | Miller, Chris P. Tsuchida, Connor Zheng, Ying Himmelfarb, Jonathan Akilesh, Shreeram |
author_sort | Miller, Chris P. |
collection | PubMed |
description | Tractable human tissue-engineered 3D models of cancer that enable fine control of tumor growth, metabolism, and reciprocal interactions between different cell types in the tumor microenvironment promise to accelerate cancer research and pharmacologic testing. Progress to date mostly reflects the use of immortalized cancer cell lines, and progression to primary patient-derived tumor cells is needed to realize the full potential of these platforms. For the first time, we report endothelial sprouting induced by primary patient tumor cells in a 3D microfluidic system. Specifically, we have combined primary human clear cell renal cell carcinoma (ccRCC) cells from six independent donors with human endothelial cells in a vascularized, flow-directed, 3D culture system (“ccRCC-on-a-chip”). The upregulation of key angiogenic factors in primary human ccRCC cells, which exhibited unique patterns of donor variation, was further enhanced when they were cultured in 3D clusters. When embedded in the matrix surrounding engineered human vessels, these ccRCC tumor clusters drove potent endothelial cell sprouting under continuous flow, thus recapitulating the critical angiogenic signaling axis between human ccRCC cells and endothelial cells. Importantly, this phenotype was driven by a primary tumor cell–derived biochemical gradient of angiogenic growth factor accumulation that was subject to pharmacological blockade. Our novel 3D system represents a vascularized tumor model that is easy to image and quantify and is fully tunable in terms of input cells, perfusate, and matrices. We envision that this ccRCC-on-a-chip will be valuable for mechanistic studies, for studying tumor-vascular cell interactions, and for developing novel and personalized antitumor therapies. |
format | Online Article Text |
id | pubmed-5994779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59947792018-06-12 A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() Miller, Chris P. Tsuchida, Connor Zheng, Ying Himmelfarb, Jonathan Akilesh, Shreeram Neoplasia Original article Tractable human tissue-engineered 3D models of cancer that enable fine control of tumor growth, metabolism, and reciprocal interactions between different cell types in the tumor microenvironment promise to accelerate cancer research and pharmacologic testing. Progress to date mostly reflects the use of immortalized cancer cell lines, and progression to primary patient-derived tumor cells is needed to realize the full potential of these platforms. For the first time, we report endothelial sprouting induced by primary patient tumor cells in a 3D microfluidic system. Specifically, we have combined primary human clear cell renal cell carcinoma (ccRCC) cells from six independent donors with human endothelial cells in a vascularized, flow-directed, 3D culture system (“ccRCC-on-a-chip”). The upregulation of key angiogenic factors in primary human ccRCC cells, which exhibited unique patterns of donor variation, was further enhanced when they were cultured in 3D clusters. When embedded in the matrix surrounding engineered human vessels, these ccRCC tumor clusters drove potent endothelial cell sprouting under continuous flow, thus recapitulating the critical angiogenic signaling axis between human ccRCC cells and endothelial cells. Importantly, this phenotype was driven by a primary tumor cell–derived biochemical gradient of angiogenic growth factor accumulation that was subject to pharmacological blockade. Our novel 3D system represents a vascularized tumor model that is easy to image and quantify and is fully tunable in terms of input cells, perfusate, and matrices. We envision that this ccRCC-on-a-chip will be valuable for mechanistic studies, for studying tumor-vascular cell interactions, and for developing novel and personalized antitumor therapies. Neoplasia Press 2018-05-07 /pmc/articles/PMC5994779/ /pubmed/29747161 http://dx.doi.org/10.1016/j.neo.2018.02.011 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original article Miller, Chris P. Tsuchida, Connor Zheng, Ying Himmelfarb, Jonathan Akilesh, Shreeram A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() |
title | A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() |
title_full | A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() |
title_fullStr | A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() |
title_full_unstemmed | A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() |
title_short | A 3D Human Renal Cell Carcinoma-on-a-Chip for the Study of Tumor Angiogenesis() |
title_sort | 3d human renal cell carcinoma-on-a-chip for the study of tumor angiogenesis() |
topic | Original article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994779/ https://www.ncbi.nlm.nih.gov/pubmed/29747161 http://dx.doi.org/10.1016/j.neo.2018.02.011 |
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