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Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data
Bone is the most common site for cancer metastasis. Understanding the interactions within the complex, heterogeneous bone–tumor microenvironment is essential for the development of new therapeutics. Various animal models of tumor‐induced bone disease are routinely used to provide valuable informatio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117847/ https://www.ncbi.nlm.nih.gov/pubmed/32258970 http://dx.doi.org/10.1002/jbm4.10356 |
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author | Rao, Srinivasa R Edwards, Claire M Edwards, James R |
author_facet | Rao, Srinivasa R Edwards, Claire M Edwards, James R |
author_sort | Rao, Srinivasa R |
collection | PubMed |
description | Bone is the most common site for cancer metastasis. Understanding the interactions within the complex, heterogeneous bone–tumor microenvironment is essential for the development of new therapeutics. Various animal models of tumor‐induced bone disease are routinely used to provide valuable information on the relationship between cancer cells and the skeleton. However, new model systems exist that offer an alternative approach to the use of animals and might more accurately reveal the cellular interactions occurring within the human bone–tumor niche. This review highlights replacement models that mimic the bone microenvironment and where cancer metastases and tumor growth might be assessed alongside bone turnover. Such culture models include the use of calcified regions of animal tissue and scaffolds made from bone mineral hydroxyapatite, synthetic polymers that can be manipulated during manufacture to create structures resembling trabecular bone surfaces, gel composites that can be modified for stiffness and porosity to resemble conditions in the tumor–bone microenvironment. Possibly the most accurate model system involves the use of fresh human bone samples, which can be cultured ex vivo in the presence of human tumor cells and demonstrate similar cancer cell–bone cell interactions as described in vivo. In addition, the use of mathematical modeling and computational biology approaches provide an alternative to preliminary animal testing. The use of such models offers the capacity to mimic significant elements of the human bone–tumor environment, and complement, refine, or replace the use of preclinical models. © 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research. |
format | Online Article Text |
id | pubmed-7117847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71178472020-04-03 Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data Rao, Srinivasa R Edwards, Claire M Edwards, James R JBMR Plus Review Bone is the most common site for cancer metastasis. Understanding the interactions within the complex, heterogeneous bone–tumor microenvironment is essential for the development of new therapeutics. Various animal models of tumor‐induced bone disease are routinely used to provide valuable information on the relationship between cancer cells and the skeleton. However, new model systems exist that offer an alternative approach to the use of animals and might more accurately reveal the cellular interactions occurring within the human bone–tumor niche. This review highlights replacement models that mimic the bone microenvironment and where cancer metastases and tumor growth might be assessed alongside bone turnover. Such culture models include the use of calcified regions of animal tissue and scaffolds made from bone mineral hydroxyapatite, synthetic polymers that can be manipulated during manufacture to create structures resembling trabecular bone surfaces, gel composites that can be modified for stiffness and porosity to resemble conditions in the tumor–bone microenvironment. Possibly the most accurate model system involves the use of fresh human bone samples, which can be cultured ex vivo in the presence of human tumor cells and demonstrate similar cancer cell–bone cell interactions as described in vivo. In addition, the use of mathematical modeling and computational biology approaches provide an alternative to preliminary animal testing. The use of such models offers the capacity to mimic significant elements of the human bone–tumor environment, and complement, refine, or replace the use of preclinical models. © 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research. John Wiley & Sons, Inc. 2020-03-23 /pmc/articles/PMC7117847/ /pubmed/32258970 http://dx.doi.org/10.1002/jbm4.10356 Text en © 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Rao, Srinivasa R Edwards, Claire M Edwards, James R Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data |
title | Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data |
title_full | Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data |
title_fullStr | Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data |
title_full_unstemmed | Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data |
title_short | Modeling the Human Bone–Tumor Niche: Reducing and Replacing the Need for Animal Data |
title_sort | modeling the human bone–tumor niche: reducing and replacing the need for animal data |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117847/ https://www.ncbi.nlm.nih.gov/pubmed/32258970 http://dx.doi.org/10.1002/jbm4.10356 |
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