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Understanding and leveraging phenotypic plasticity during metastasis formation
Cancer metastasis is the process of detrimental systemic spread and the primary cause of cancer-related fatalities. Successful metastasis formation requires tumor cells to be proliferative and invasive; however, cells cannot be effective at both tasks simultaneously. Tumor cells compensate for this...
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/PMC10558468/ https://www.ncbi.nlm.nih.gov/pubmed/37803056 http://dx.doi.org/10.1038/s41540-023-00309-1 |
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author | Shah, Saumil Philipp, Lisa-Marie Giaimo, Stefano Sebens, Susanne Traulsen, Arne Raatz, Michael |
author_facet | Shah, Saumil Philipp, Lisa-Marie Giaimo, Stefano Sebens, Susanne Traulsen, Arne Raatz, Michael |
author_sort | Shah, Saumil |
collection | PubMed |
description | Cancer metastasis is the process of detrimental systemic spread and the primary cause of cancer-related fatalities. Successful metastasis formation requires tumor cells to be proliferative and invasive; however, cells cannot be effective at both tasks simultaneously. Tumor cells compensate for this trade-off by changing their phenotype during metastasis formation through phenotypic plasticity. Given the changing selection pressures and competitive interactions that tumor cells face, it is poorly understood how plasticity shapes the process of metastasis formation. Here, we develop an ecology-inspired mathematical model with phenotypic plasticity and resource competition between phenotypes to address this knowledge gap. We find that phenotypically plastic tumor cell populations attain a stable phenotype equilibrium that maintains tumor cell heterogeneity. Considering treatment types inspired by chemo- and immunotherapy, we highlight that plasticity can protect tumors against interventions. Turning this strength into a weakness, we corroborate current clinical practices to use plasticity as a target for adjuvant therapy. We present a parsimonious view of tumor plasticity-driven metastasis that is quantitative and experimentally testable, and thus potentially improving the mechanistic understanding of metastasis at the cell population level, and its treatment consequences. |
format | Online Article Text |
id | pubmed-10558468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105584682023-10-08 Understanding and leveraging phenotypic plasticity during metastasis formation Shah, Saumil Philipp, Lisa-Marie Giaimo, Stefano Sebens, Susanne Traulsen, Arne Raatz, Michael NPJ Syst Biol Appl Article Cancer metastasis is the process of detrimental systemic spread and the primary cause of cancer-related fatalities. Successful metastasis formation requires tumor cells to be proliferative and invasive; however, cells cannot be effective at both tasks simultaneously. Tumor cells compensate for this trade-off by changing their phenotype during metastasis formation through phenotypic plasticity. Given the changing selection pressures and competitive interactions that tumor cells face, it is poorly understood how plasticity shapes the process of metastasis formation. Here, we develop an ecology-inspired mathematical model with phenotypic plasticity and resource competition between phenotypes to address this knowledge gap. We find that phenotypically plastic tumor cell populations attain a stable phenotype equilibrium that maintains tumor cell heterogeneity. Considering treatment types inspired by chemo- and immunotherapy, we highlight that plasticity can protect tumors against interventions. Turning this strength into a weakness, we corroborate current clinical practices to use plasticity as a target for adjuvant therapy. We present a parsimonious view of tumor plasticity-driven metastasis that is quantitative and experimentally testable, and thus potentially improving the mechanistic understanding of metastasis at the cell population level, and its treatment consequences. Nature Publishing Group UK 2023-10-06 /pmc/articles/PMC10558468/ /pubmed/37803056 http://dx.doi.org/10.1038/s41540-023-00309-1 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shah, Saumil Philipp, Lisa-Marie Giaimo, Stefano Sebens, Susanne Traulsen, Arne Raatz, Michael Understanding and leveraging phenotypic plasticity during metastasis formation |
title | Understanding and leveraging phenotypic plasticity during metastasis formation |
title_full | Understanding and leveraging phenotypic plasticity during metastasis formation |
title_fullStr | Understanding and leveraging phenotypic plasticity during metastasis formation |
title_full_unstemmed | Understanding and leveraging phenotypic plasticity during metastasis formation |
title_short | Understanding and leveraging phenotypic plasticity during metastasis formation |
title_sort | understanding and leveraging phenotypic plasticity during metastasis formation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558468/ https://www.ncbi.nlm.nih.gov/pubmed/37803056 http://dx.doi.org/10.1038/s41540-023-00309-1 |
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