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Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy
Osteosarcoma is the most common bone sarcoma in children and young adults. While universally delivered, chemotherapy only benefits roughly half of patients with localized disease. Increasingly, intratumoral heterogeneity is recognized as a source of therapeutic resistance. In this study, we develop...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656496/ https://www.ncbi.nlm.nih.gov/pubmed/37978271 http://dx.doi.org/10.1038/s41598-023-47412-1 |
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author | Welch, Darcy L. Fridley, Brooke L. Cen, Ling Teer, Jamie K. Yoder, Sean J. Pettersson, Fredrik Xu, Liping Cheng, Chia-Ho Zhang, Yonghong Alexandrow, Mark G. Xiang, Shengyan Robertson-Tessi, Mark Brown, Joel S. Metts, Jonathan Brohl, Andrew S. Reed, Damon R. |
author_facet | Welch, Darcy L. Fridley, Brooke L. Cen, Ling Teer, Jamie K. Yoder, Sean J. Pettersson, Fredrik Xu, Liping Cheng, Chia-Ho Zhang, Yonghong Alexandrow, Mark G. Xiang, Shengyan Robertson-Tessi, Mark Brown, Joel S. Metts, Jonathan Brohl, Andrew S. Reed, Damon R. |
author_sort | Welch, Darcy L. |
collection | PubMed |
description | Osteosarcoma is the most common bone sarcoma in children and young adults. While universally delivered, chemotherapy only benefits roughly half of patients with localized disease. Increasingly, intratumoral heterogeneity is recognized as a source of therapeutic resistance. In this study, we develop and evaluate an in vitro model of osteosarcoma heterogeneity based on phenotype and genotype. Cancer cell populations vary in their environment-specific growth rates and in their sensitivity to chemotherapy. We present the genotypic and phenotypic characterization of an osteosarcoma cell line panel with a focus on co-cultures of the most phenotypically divergent cell lines, 143B and SAOS2. Modest environmental (pH, glutamine) or chemical perturbations dramatically shift the success and composition of cell lines. We demonstrate that in nutrient rich culture conditions 143B outcompetes SAOS2. But, under nutrient deprivation or conventional chemotherapy, SAOS2 growth can be favored in spheroids. Importantly, when the simplest heterogeneity state is evaluated, a two-cell line coculture, perturbations that affect the faster growing cell line have only a modest effect on final spheroid size. Thus the only evaluated therapies to eliminate the spheroids were by switching therapies from a first strike to a second strike. This extensively characterized, widely available system, can be modeled and scaled to allow for improved strategies to anticipate resistance in osteosarcoma due to heterogeneity. |
format | Online Article Text |
id | pubmed-10656496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106564962023-11-17 Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy Welch, Darcy L. Fridley, Brooke L. Cen, Ling Teer, Jamie K. Yoder, Sean J. Pettersson, Fredrik Xu, Liping Cheng, Chia-Ho Zhang, Yonghong Alexandrow, Mark G. Xiang, Shengyan Robertson-Tessi, Mark Brown, Joel S. Metts, Jonathan Brohl, Andrew S. Reed, Damon R. Sci Rep Article Osteosarcoma is the most common bone sarcoma in children and young adults. While universally delivered, chemotherapy only benefits roughly half of patients with localized disease. Increasingly, intratumoral heterogeneity is recognized as a source of therapeutic resistance. In this study, we develop and evaluate an in vitro model of osteosarcoma heterogeneity based on phenotype and genotype. Cancer cell populations vary in their environment-specific growth rates and in their sensitivity to chemotherapy. We present the genotypic and phenotypic characterization of an osteosarcoma cell line panel with a focus on co-cultures of the most phenotypically divergent cell lines, 143B and SAOS2. Modest environmental (pH, glutamine) or chemical perturbations dramatically shift the success and composition of cell lines. We demonstrate that in nutrient rich culture conditions 143B outcompetes SAOS2. But, under nutrient deprivation or conventional chemotherapy, SAOS2 growth can be favored in spheroids. Importantly, when the simplest heterogeneity state is evaluated, a two-cell line coculture, perturbations that affect the faster growing cell line have only a modest effect on final spheroid size. Thus the only evaluated therapies to eliminate the spheroids were by switching therapies from a first strike to a second strike. This extensively characterized, widely available system, can be modeled and scaled to allow for improved strategies to anticipate resistance in osteosarcoma due to heterogeneity. Nature Publishing Group UK 2023-11-17 /pmc/articles/PMC10656496/ /pubmed/37978271 http://dx.doi.org/10.1038/s41598-023-47412-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Welch, Darcy L. Fridley, Brooke L. Cen, Ling Teer, Jamie K. Yoder, Sean J. Pettersson, Fredrik Xu, Liping Cheng, Chia-Ho Zhang, Yonghong Alexandrow, Mark G. Xiang, Shengyan Robertson-Tessi, Mark Brown, Joel S. Metts, Jonathan Brohl, Andrew S. Reed, Damon R. Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
title | Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
title_full | Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
title_fullStr | Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
title_full_unstemmed | Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
title_short | Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
title_sort | modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656496/ https://www.ncbi.nlm.nih.gov/pubmed/37978271 http://dx.doi.org/10.1038/s41598-023-47412-1 |
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