ArticleBritish journal of cancer2009
Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells.
Article in British journal of cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 110 citations in OpenAlex.
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- The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous drug resistant disease.Nature communications · 2024Article
- The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.Dynamic games and applications · 2022Review
- The role of memory in non-genetic inheritance and its impact on cancer treatment resistance.PLoS computational biology · 2021Article
- Cancer immunoediting: A game theoretical approach.In silico biology · 2021Article
- Can Environmental Manipulation Help Suppress Cancer? Non-Linear Competition Among Tumor Cells in Periodically Changing Conditions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Fixation probabilities for the Moran process with three or more strategies: general and coupling results.Journal of mathematical biology · 2020Article
- Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer.PloS one · 2020Article
- Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective.Iranian journal of public health · 2020Article
- Modelling bistable tumour population dynamics to design effective treatment strategies.Journal of theoretical biology · 2019Article
- Cooperation among cancer cells: applying game theory to cancer.Nature reviews. Cancer · 2019Review
- Bone metastasis treatment modeling via optimal control.Journal of mathematical biology · 2019Article
- Neighborhood size-effects shape growing population dynamics in evolutionary public goods games.Communications biology · 2019Article
- Fractionated follow-up chemotherapy delays the onset of resistance in bone metastatic prostate cancer.Games · 2018Article
- Modeling treatment-dependent glioma growth including a dormant tumor cell subpopulation.BMC cancer · 2018Article
- Spatial evolutionary games with weak selection.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Bone remodeling as a spatial evolutionary game.Journal of theoretical biology · 2017Article
- Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature.British journal of cancer · 2017Article
- On Having No Head: Cognition throughout Biological Systems.Frontiers in psychology · 2016Review
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Authors and funding
5 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is variability in the cancer phenotype across individuals: two patients with the same tumour may experience different disease life histories, resulting from genetic variation within the tumour and from the interaction between tumour and host. Until now, phenotypic variability has precluded a clear-cut identification of the fundamental characteristics of a given tumour type.
methodsUsing multiple myeloma as an example, we apply the principles of evolutionary game theory to determine the fundamental characteristics that define the phenotypic variability of a tumour.
resultsTumour dynamics is determined by the frequency-dependent fitness of different cell populations, resulting from the benefits and costs accrued by each cell type in the presence of others. Our study shows how the phenotypic variability in multiple myeloma bone disease can be understood through the theoretical approach of a game that allows the identification of key genotypic features in a tumour and provides a natural explanation for phenotypic variability. This analysis also illustrates how complex biochemical signals can be translated into cell fitness that determines disease dynamics.
conclusionThe present paradigm is general and extends well beyond multiple myeloma, and even to non-neoplastic disorders. Furthermore, it provides a new perspective in dealing with cancer eradication. Instead of trying to kill all cancer cells, therapies should aim at reducing the fitness of malignant cells compared with normal cells, allowing natural selection to eradicate the tumour.
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