Effects of Heterogeneity on Cancer: A Game Theory Perspective.

Cancer Evolutionarily stable strategy Hawk–dove game Intratumor heterogeneity

Journal

Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404

Informations de publication

Date de publication:
19 06 2023
Historique:
received: 03 10 2022
accepted: 13 06 2023
medline: 21 6 2023
pubmed: 20 6 2023
entrez: 19 6 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37336793
doi: 10.1007/s11538-023-01178-9
pii: 10.1007/s11538-023-01178-9
pmc: PMC10279587
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

72

Informations de copyright

© 2023. The Author(s).

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Auteurs

Annick Laruelle (A)

Department of Economic Analysis (ANEKO), University of the Basque Country (UPV/EHU), Avenida Lehendakari Aguirre, 83, 48015, Bilbao, Spain. annick.laruelle@ehu.eus.
IKERBASQUE, Basque Foundation of Science, 48011, Bilbao, Spain. annick.laruelle@ehu.eus.

André Rocha (A)

Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro, RJ, CEP 22451-900, Brazil.

Claudia Manini (C)

Department of Pathology, San Giovanni Bosco Hospital, 10154, Turin, Italy.
Department of Sciences of Public Health and Pediatrics, University of Turin, 10124, Turin, Italy.

José I López (JI)

Department of Pathology, Cruces University Hospital, 48903, Barakaldo, Spain.
Biomarkers in Cancer Group, Biocruces-Bizkaia Research Institute, 48903, Barakaldo, Spain.

Elena Inarra (E)

Department of Economic Analysis (ANEKO), University of the Basque Country (UPV/EHU), Avenida Lehendakari Aguirre, 83, 48015, Bilbao, Spain.
Institute of Public Economics, University of the Basque Country (UPV/EHU), Avenida Lehendakari Aguirre, 83, 48015, Bilbao, Spain.

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