ReviewJournal of the Royal Society, Interface2022
The role of evolutionary game theory in spatial and non-spatial models of the survival of cooperation in cancer: a review.
Review in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Cooperation, Defection, and Collapse: A Multiscale Game Theory Framework for Emphysema Progression.Cells · 2026Review
- Migrastatic therapy as a potential game-changer in adaptive cancer treatment.Scientific reports · 2026Article
- A Darwinian model for the evolution of drug resistance to long-acting PrEP during an early HIV infection.PloS one · 2026Article
- Article
- Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach.Journal of mathematical biology · 2025Article
- Using spatial statistics to infer game-theoretic interactions in an agent-based model of cancer cells.bioRxiv : the preprint server for biology · 2025Article
- Evolution of trust in theJournal of the Royal Society, Interface · 2025Article
- An agent-based modelling framework to study growth mechanisms inRoyal Society open science · 2024Article
- A war on many fronts: cross disciplinary approaches for novel cancer treatment strategies.Frontiers in genetics · 2024Review
- The paradox of cooperation among selfish cancer cells.Evolutionary applications · 2023Review
- Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023Review
- Spatial simulation of autologous cell defection for cancer treatment.Evolution, medicine, and public health · 2023Article
- The role of evolutionary game theory in spatial and non-spatial models of the survival of cooperation in cancer: a review.Journal of the Royal Society, Interface · 2022Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolutionary game theory (EGT) is a branch of mathematics which considers populations of individuals interacting with each other to receive pay-offs. An individual's pay-off is dependent on the strategy of its opponent(s) as well as on its own, and the higher its pay-off, the higher its reproductive fitness. Its offspring generally inherit its interaction strategy, subject to random mutation. Over time, the composition of the population shifts as different strategies spread or are driven extinct. In the last 25 years there has been a flood of interest in applying EGT to cancer modelling, with the aim of explaining how cancerous mutations spread through healthy tissue and how intercellular cooperation persists in tumour-cell populations. This review traces this body of work from theoretical analyses of well-mixed infinite populations through to more realistic spatial models of the development of cooperation between epithelial cells. We also consider work in which EGT has been used to make experimental predictions about the evolution of cancer, and discuss work that remains to be done before EGT can make large-scale contributions to clinical treatment and patient outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.