Evidence map›Paper›PMID 35601872›Full record

ReviewDynamic games and applications2022

The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.

Benjamin Wölfl, Hedy Te Rietmole, Monica Salvioli, Artem Kaznatcheev, Frank Thuijsman, Joel S Brown, Boudewijn Burgering, Kateřina Staňková

Open access · hybridAbstract readReview
In one paragraph

Review in Dynamic games and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 103 citations in OpenAlex.

  1. Review
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  7. 75 Years of Mathematical Oncology.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 5 countries.

Benjamin Wölfl *Department of Mathematics, University of Vienna, Vienna, Austria.ORCID 0000-0001-6447-6583
Hedy Te Rietmole *Department of Molecular Cancer Research, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-8868-1984
Monica SalvioliDepartment of Mathematics, University of Trento, Trento, Italy.ORCID 0000-0002-7686-2753
Artem KaznatcheevDepartment of Biology, University of Pennsylvania, Philadelphia, USA.
Frank ThuijsmanDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-8139-8003
Joel S BrownDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL USA.
Boudewijn BurgeringDepartment of Molecular Cancer Research, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-4044-9596
Kateřina StaňkováDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-4519-0325
Maastricht University · NLUniversity Medical Center Utrecht · NLMoffitt Cancer Center · USUniversity of Oxford · GBUniversity of Trento · ITUniversity of Vienna · AT

Funding

The Physi(ologi)cal Microenvironment and its Role in Tumor Invasion and MetastaseU54CA143970 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2009 to 2014
$9.3M
Application of Evolutionary Principles to Maintain Cancer Control (PQ21)R01CA170595 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2012 to 2015
$2.1M
Austrian Science Fund FWF W 1225NCI NIH HHS R01 CA170595NCI NIH HHS U54 CA143970
6 · The paper itself

Abstract

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.

Indexed as

Competitive releaseEco-evolutionary dynamicsEvolutionary game theoryGeneticsResistanceStackelberg evolutionary games

Identifiers

PMID35601872
PMCPMC9117378
OpenAlexW3198461753

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.