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dc.contributor.authorLaruelle, Annick ORCID
dc.contributor.authorBarreira da Silva Rocha, André
dc.contributor.authorManini, Claudia
dc.contributor.authorLópez Fernández de Villaverde, José Ignacio ORCID
dc.contributor.authorIñarra García, María Elena ORCID
dc.date.accessioned2023-09-18T16:53:16Z
dc.date.available2023-09-18T16:53:16Z
dc.date.issued2023-08
dc.identifier.citationBulletin of Mathematical Biology 85(8) : (2023) // Article ID 72es_ES
dc.identifier.issn0092-8240
dc.identifier.issn1522-9602
dc.identifier.urihttp://hdl.handle.net/10810/62580
dc.description.abstractIn 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.sponsorshipLaruelle 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.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2019-106146GB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2019-107539GB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectcanceres_ES
dc.subjectintratumor heterogeneityes_ES
dc.subjecthawk–dove gamees_ES
dc.subjectevolutionarily stable strategyes_ES
dc.titleEffects of Heterogeneity on Cancer: A Game Theory Perspectivees_ES
dc.typeinfo:eu-repo/semantics/articlees_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.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11538-023-01178-9es_ES
dc.identifier.doi10.1007/s11538-023-01178-9
dc.departamentoesAnálisis Económicoes_ES
dc.departamentoeuAnalisi Ekonomikoaes_ES


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© 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/.
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/.