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The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer
Tumors are not static masses of cells but dynamic ecosystems where cancer cells experience constant turnover and evolve fitness-enhancing phenotypes. Selection for different phenotypes may vary with (1) the tumor niche (edge or core), (2) cell turnover rates, (3) the nature of the tradeoff between t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382810/ https://www.ncbi.nlm.nih.gov/pubmed/30787363 http://dx.doi.org/10.1038/s41598-019-39636-x |
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author | Gallaher, Jill A. Brown, Joel S. Anderson, Alexander R. A. |
author_facet | Gallaher, Jill A. Brown, Joel S. Anderson, Alexander R. A. |
author_sort | Gallaher, Jill A. |
collection | PubMed |
description | Tumors are not static masses of cells but dynamic ecosystems where cancer cells experience constant turnover and evolve fitness-enhancing phenotypes. Selection for different phenotypes may vary with (1) the tumor niche (edge or core), (2) cell turnover rates, (3) the nature of the tradeoff between traits, and (4) whether deaths occur in response to demographic or environmental stochasticity. Using a spatially-explicit agent-based model, we observe how two traits (proliferation rate and migration speed) evolve under different tradeoff conditions with different turnover rates. Migration rate is favored over proliferation at the tumor’s edge and vice-versa for the interior. Increasing cell turnover rates slightly slows tumor growth but accelerates the rate of evolution for both proliferation and migration. The absence of a tradeoff favors ever higher values for proliferation and migration, while a convex tradeoff tends to favor proliferation, often promoting the coexistence of a generalist and specialist phenotype. A concave tradeoff favors migration at low death rates, but switches to proliferation at higher death rates. Mortality via demographic stochasticity favors proliferation, and environmental stochasticity favors migration. While all of these diverse factors contribute to the ecology, heterogeneity, and evolution of a tumor, their effects may be predictable and empirically accessible. |
format | Online Article Text |
id | pubmed-6382810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63828102019-02-25 The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer Gallaher, Jill A. Brown, Joel S. Anderson, Alexander R. A. Sci Rep Article Tumors are not static masses of cells but dynamic ecosystems where cancer cells experience constant turnover and evolve fitness-enhancing phenotypes. Selection for different phenotypes may vary with (1) the tumor niche (edge or core), (2) cell turnover rates, (3) the nature of the tradeoff between traits, and (4) whether deaths occur in response to demographic or environmental stochasticity. Using a spatially-explicit agent-based model, we observe how two traits (proliferation rate and migration speed) evolve under different tradeoff conditions with different turnover rates. Migration rate is favored over proliferation at the tumor’s edge and vice-versa for the interior. Increasing cell turnover rates slightly slows tumor growth but accelerates the rate of evolution for both proliferation and migration. The absence of a tradeoff favors ever higher values for proliferation and migration, while a convex tradeoff tends to favor proliferation, often promoting the coexistence of a generalist and specialist phenotype. A concave tradeoff favors migration at low death rates, but switches to proliferation at higher death rates. Mortality via demographic stochasticity favors proliferation, and environmental stochasticity favors migration. While all of these diverse factors contribute to the ecology, heterogeneity, and evolution of a tumor, their effects may be predictable and empirically accessible. Nature Publishing Group UK 2019-02-20 /pmc/articles/PMC6382810/ /pubmed/30787363 http://dx.doi.org/10.1038/s41598-019-39636-x Text en © The Author(s) 2019 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/. |
spellingShingle | Article Gallaher, Jill A. Brown, Joel S. Anderson, Alexander R. A. The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
title | The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
title_full | The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
title_fullStr | The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
title_full_unstemmed | The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
title_short | The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
title_sort | impact of proliferation-migration tradeoffs on phenotypic evolution in cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382810/ https://www.ncbi.nlm.nih.gov/pubmed/30787363 http://dx.doi.org/10.1038/s41598-019-39636-x |
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