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Organ on Chip Technology to Model Cancer Growth and Metastasis

Organ on chip (OOC) has emerged as a major technological breakthrough and distinct model system revolutionizing biomedical research and drug discovery by recapitulating the crucial structural and functional complexity of human organs in vitro. OOC are rapidly emerging as powerful tools for oncology...

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Autores principales: Imparato, Giorgia, Urciuolo, Francesco, Netti, Paolo Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772984/
https://www.ncbi.nlm.nih.gov/pubmed/35049737
http://dx.doi.org/10.3390/bioengineering9010028
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author Imparato, Giorgia
Urciuolo, Francesco
Netti, Paolo Antonio
author_facet Imparato, Giorgia
Urciuolo, Francesco
Netti, Paolo Antonio
author_sort Imparato, Giorgia
collection PubMed
description Organ on chip (OOC) has emerged as a major technological breakthrough and distinct model system revolutionizing biomedical research and drug discovery by recapitulating the crucial structural and functional complexity of human organs in vitro. OOC are rapidly emerging as powerful tools for oncology research. Indeed, Cancer on chip (COC) can ideally reproduce certain key aspects of the tumor microenvironment (TME), such as biochemical gradients and niche factors, dynamic cell–cell and cell–matrix interactions, and complex tissue structures composed of tumor and stromal cells. Here, we review the state of the art in COC models with a focus on the microphysiological systems that host multicellular 3D tissue engineering models and can help elucidate the complex biology of TME and cancer growth and progression. Finally, some examples of microengineered tumor models integrated with multi-organ microdevices to study disease progression in different tissues will be presented.
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spelling pubmed-87729842022-01-21 Organ on Chip Technology to Model Cancer Growth and Metastasis Imparato, Giorgia Urciuolo, Francesco Netti, Paolo Antonio Bioengineering (Basel) Review Organ on chip (OOC) has emerged as a major technological breakthrough and distinct model system revolutionizing biomedical research and drug discovery by recapitulating the crucial structural and functional complexity of human organs in vitro. OOC are rapidly emerging as powerful tools for oncology research. Indeed, Cancer on chip (COC) can ideally reproduce certain key aspects of the tumor microenvironment (TME), such as biochemical gradients and niche factors, dynamic cell–cell and cell–matrix interactions, and complex tissue structures composed of tumor and stromal cells. Here, we review the state of the art in COC models with a focus on the microphysiological systems that host multicellular 3D tissue engineering models and can help elucidate the complex biology of TME and cancer growth and progression. Finally, some examples of microengineered tumor models integrated with multi-organ microdevices to study disease progression in different tissues will be presented. MDPI 2022-01-11 /pmc/articles/PMC8772984/ /pubmed/35049737 http://dx.doi.org/10.3390/bioengineering9010028 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Imparato, Giorgia
Urciuolo, Francesco
Netti, Paolo Antonio
Organ on Chip Technology to Model Cancer Growth and Metastasis
title Organ on Chip Technology to Model Cancer Growth and Metastasis
title_full Organ on Chip Technology to Model Cancer Growth and Metastasis
title_fullStr Organ on Chip Technology to Model Cancer Growth and Metastasis
title_full_unstemmed Organ on Chip Technology to Model Cancer Growth and Metastasis
title_short Organ on Chip Technology to Model Cancer Growth and Metastasis
title_sort organ on chip technology to model cancer growth and metastasis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772984/
https://www.ncbi.nlm.nih.gov/pubmed/35049737
http://dx.doi.org/10.3390/bioengineering9010028
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