Early Evolution in Cancer: A Mathematical Support for Pathological and Genomic Evidence in Clear Cell Renal Cell Carcinoma
dc.contributor.author | Laruelle, Annick ![]() | |
dc.contributor.author | Manini, Claudia | |
dc.contributor.author | López Fernández de Villaverde, José Ignacio ![]() | |
dc.contributor.author | Rocha, André | |
dc.date.accessioned | 2024-02-02T17:15:50Z | |
dc.date.available | 2024-02-02T17:15:50Z | |
dc.date.issued | 2023-12-18 | |
dc.identifier.citation | Cancers 15(24) : (2023) // Article ID 5897 | es_ES |
dc.identifier.issn | 2072-6694 | |
dc.identifier.uri | http://hdl.handle.net/10810/64603 | |
dc.description.abstract | Clear cell renal cell carcinoma (CCRCC) is an aggressive form of cancer and a paradigmatic example of intratumor heterogeneity (ITH). The hawk-dove game is a mathematical tool designed to analyze competition in biological systems. Using this game, the study reported here analyzes the early phase of CCRCC development, comparing clonal fitness in homogeneous (linear evolutionary) and highly heterogeneous (branching evolutionary) models. Fitness in the analysis is a measure of tumor aggressiveness. The results show that the fittest clone in a heterogeneous environment is fitter than the clone in a homogeneous context in the early phases of tumor evolution. Early and late periods of tumor evolution in CCRCC are also compared. The study shows the convergence of mathematical, histological, and genomics studies with respect to clonal aggressiveness in different periods of the natural history of CCRCC. Such convergence highlights the importance of multidisciplinary approaches for obtaining a better understanding of the intricacies of cancer. | es_ES |
dc.description.sponsorship | Laruelle acknowledges financial support from grant PID2019-106146GB-I00, funded by MCIN/AEI/10.13039/501100011033, from the ERDF “A Way of Making Europe” scheme 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). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2019-106146GB-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | |
dc.subject | clear cell renal cell carcinoma | es_ES |
dc.subject | cancer evolution | es_ES |
dc.subject | game theory | es_ES |
dc.subject | intratumor heterogeneity | es_ES |
dc.title | Early Evolution in Cancer: A Mathematical Support for Pathological and Genomic Evidence in Clear Cell Renal Cell Carcinoma | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2023-12-22T13:46:07Z | |
dc.rights.holder | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2072-6694/15/24/5897 | es_ES |
dc.identifier.doi | 10.3390/cancers15245897 | |
dc.departamentoes | Análisis Económico | |
dc.departamentoeu | Analisi Ekonomikoa |
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Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).