Effects of Heterogeneity on Cancer: A Game Theory Perspective
dc.contributor.author | Laruelle, Annick | |
dc.contributor.author | Barreira da Silva Rocha, André | |
dc.contributor.author | Manini, Claudia | |
dc.contributor.author | López Fernández de Villaverde, José Ignacio | |
dc.contributor.author | Iñarra García, María Elena | |
dc.date.accessioned | 2023-09-18T16:53:16Z | |
dc.date.available | 2023-09-18T16:53:16Z | |
dc.date.issued | 2023-08 | |
dc.identifier.citation | Bulletin of Mathematical Biology 85(8) : (2023) // Article ID 72 | es_ES |
dc.identifier.issn | 0092-8240 | |
dc.identifier.issn | 1522-9602 | |
dc.identifier.uri | http://hdl.handle.net/10810/62580 | |
dc.description.abstract | In this study, we explore interactions between cancer cells by using the hawk–dove game. We analyze the heterogeneity of tumors by considering games with populations composed of 2 or 3 types of cell. We determine what strategies are evolutionarily stable in the 2-type and 3-type population games and what the corresponding expected payoffs are. Our results show that the payoff of the best-off cell in the 2-type population game is higher than that of the best-off cell in the 3-type population game. When these mathematical findings are transferred to the field of oncology they suggest that a tumor with low intratumor heterogeneity pursues a more aggressive course than one with high intratumor heterogeneity. Some histological and genomic data on clear cell renal cell carcinomas is consistent with these results. We underline the importance of identifying intratumor heterogeneity in routine practice and suggest that therapeutic strategies that preserve heterogeneity may be promising as they may slow down cancer growth. | es_ES |
dc.description.sponsorship | Laruelle acknowledges financial support from Grant PID2019-106146GB-I00 funded by MCIN/AEI/10.13039/ 501100011033 and by “ERDF, A way of making Europe”and from the Basque Government (Research Group IT1697-22); Rocha acknowledges financial support from the “National Council for Scientific and Technological Development—CNPq”(CNPq funding 307437/2019-1); Inarra acknowledges financial support from Grant PID2019-107539GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe” and from the Basque Government (project IT1697-22). Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2019-106146GB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2019-107539GB-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | cancer | es_ES |
dc.subject | intratumor heterogeneity | es_ES |
dc.subject | hawk–dove game | es_ES |
dc.subject | evolutionarily stable strategy | es_ES |
dc.title | Effects of Heterogeneity on Cancer: A Game Theory Perspective | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © The Author(s) 2023. 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/. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s11538-023-01178-9 | es_ES |
dc.identifier.doi | 10.1007/s11538-023-01178-9 | |
dc.departamentoes | Análisis Económico | es_ES |
dc.departamentoeu | Analisi Ekonomikoa | es_ES |
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Except where otherwise noted, this item's license is described as © The Author(s) 2023. 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/.