2022/02/04 by Annick Laruelle, André Barreira da Silva Rocha, Laruelle, Annick +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Biological Physics (physics.bio-ph) #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Physical sciences #Mathematical Biology Tumor Growth #Mathematical and Theoretical Epidemiology and Ecology Models #Populations and Evolution (q-bio.PE)
paper · pdf · doi:10.48550/arxiv.2202.02211
openalex publication_date 2022/02/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 cells. We determine what strategies are evolutionarily stable in the 2-type and 3-type population games and the corresponding expected payoffs. 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. Translating these mathematical findings to the field of oncology suggests that a branching-type tumor pursues a less aggressive course than a punctuated-type one. Some histological and genomic data of clear cell renal cell carcinomas are consistent with these results.