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Modeling cancer’s ecological and evolutionary dynamics
In this didactic paper, we present a theoretical modeling framework, called the G-function, that integrates both the ecology and evolution of cancer to understand oncogenesis. The G-function has been used in evolutionary ecology, but has not been widely applied to problems in cancer. Here, we build...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974726/ https://www.ncbi.nlm.nih.gov/pubmed/36853375 http://dx.doi.org/10.1007/s12032-023-01968-0 |
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author | Bukkuri, Anuraag Pienta, Kenneth J. Hockett, Ian Austin, Robert H. Hammarlund, Emma U. Amend, Sarah R. Brown, Joel S. |
author_facet | Bukkuri, Anuraag Pienta, Kenneth J. Hockett, Ian Austin, Robert H. Hammarlund, Emma U. Amend, Sarah R. Brown, Joel S. |
author_sort | Bukkuri, Anuraag |
collection | PubMed |
description | In this didactic paper, we present a theoretical modeling framework, called the G-function, that integrates both the ecology and evolution of cancer to understand oncogenesis. The G-function has been used in evolutionary ecology, but has not been widely applied to problems in cancer. Here, we build the G-function framework from fundamental Darwinian principles and discuss how cancer can be seen through the lens of ecology, evolution, and game theory. We begin with a simple model of cancer growth and add on components of cancer cell competition and drug resistance. To aid in exploration of eco-evolutionary modeling with this approach, we also present a user-friendly software tool. By the end of this paper, we hope that readers will be able to construct basic G function models and grasp the usefulness of the framework to understand the games cancer plays in a biologically mechanistic fashion. |
format | Online Article Text |
id | pubmed-9974726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-99747262023-03-02 Modeling cancer’s ecological and evolutionary dynamics Bukkuri, Anuraag Pienta, Kenneth J. Hockett, Ian Austin, Robert H. Hammarlund, Emma U. Amend, Sarah R. Brown, Joel S. Med Oncol Perspectives in Oncology In this didactic paper, we present a theoretical modeling framework, called the G-function, that integrates both the ecology and evolution of cancer to understand oncogenesis. The G-function has been used in evolutionary ecology, but has not been widely applied to problems in cancer. Here, we build the G-function framework from fundamental Darwinian principles and discuss how cancer can be seen through the lens of ecology, evolution, and game theory. We begin with a simple model of cancer growth and add on components of cancer cell competition and drug resistance. To aid in exploration of eco-evolutionary modeling with this approach, we also present a user-friendly software tool. By the end of this paper, we hope that readers will be able to construct basic G function models and grasp the usefulness of the framework to understand the games cancer plays in a biologically mechanistic fashion. Springer US 2023-02-28 2023 /pmc/articles/PMC9974726/ /pubmed/36853375 http://dx.doi.org/10.1007/s12032-023-01968-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Perspectives in Oncology Bukkuri, Anuraag Pienta, Kenneth J. Hockett, Ian Austin, Robert H. Hammarlund, Emma U. Amend, Sarah R. Brown, Joel S. Modeling cancer’s ecological and evolutionary dynamics |
title | Modeling cancer’s ecological and evolutionary dynamics |
title_full | Modeling cancer’s ecological and evolutionary dynamics |
title_fullStr | Modeling cancer’s ecological and evolutionary dynamics |
title_full_unstemmed | Modeling cancer’s ecological and evolutionary dynamics |
title_short | Modeling cancer’s ecological and evolutionary dynamics |
title_sort | modeling cancer’s ecological and evolutionary dynamics |
topic | Perspectives in Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974726/ https://www.ncbi.nlm.nih.gov/pubmed/36853375 http://dx.doi.org/10.1007/s12032-023-01968-0 |
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