The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.
Competitive release
Eco-evolutionary dynamics
Evolutionary game theory
Genetics
Resistance
Stackelberg evolutionary games
Journal
Dynamic games and applications
ISSN: 2153-0785
Titre abrégé: Dyn Games Appl
Pays: United States
ID NLM: 101679645
Informations de publication
Date de publication:
2022
2022
Historique:
accepted:
05
07
2021
entrez:
23
5
2022
pubmed:
24
5
2022
medline:
24
5
2022
Statut:
ppublish
Résumé
Evolutionary game theory mathematically conceptualizes and analyzes biological interactions where one's fitness not only depends on one's own traits, but also on the traits of others. Typically, the individuals are not overtly rational and do not select, but rather inherit their traits. Cancer can be framed as such an evolutionary game, as it is composed of cells of heterogeneous types undergoing frequency-dependent selection. In this article, we first summarize existing works where evolutionary game theory has been employed in modeling cancer and improving its treatment. Some of these game-theoretic models suggest how one could anticipate and steer cancer's eco-evolutionary dynamics into states more desirable for the patient via evolutionary therapies. Such therapies offer great promise for increasing patient survival and decreasing drug toxicity, as demonstrated by some recent studies and clinical trials. We discuss clinical relevance of the existing game-theoretic models of cancer and its treatment, and opportunities for future applications. Moreover, we discuss the developments in cancer biology that are needed to better utilize the full potential of game-theoretic models. Ultimately, we demonstrate that viewing tumors with evolutionary game theory has medically useful implications that can inform and create a lockstep between empirical findings and mathematical modeling. We suggest that cancer progression is an evolutionary competition between different cell types and therefore needs to be viewed as an evolutionary game.
Identifiants
pubmed: 35601872
doi: 10.1007/s13235-021-00397-w
pii: 397
pmc: PMC9117378
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
313-342Subventions
Organisme : NCI NIH HHS
ID : R01 CA170595
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA143970
Pays : United States
Organisme : Austrian Science Fund FWF
ID : W 1225
Pays : Austria
Informations de copyright
© The Author(s) 2021.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare that they have no conflict of interest.
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