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Modeling cancer’s e...
Modeling cancer’s ecological and evolutionary dynamics
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- Bukkuri, Anuraag (författare)
- Lund University,Lunds universitet,Molekylär evolution,Forskargrupper vid Lunds universitet,Molecular Evolution,Lund University Research Groups,H. Lee Moffitt Cancer Center & Research Institute
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- Pienta, Kenneth J. (författare)
- Johns Hopkins University School of Medicine
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- Hockett, Ian (författare)
- Johns Hopkins University School of Medicine
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- Austin, Robert H. (författare)
- Princeton University
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- Hammarlund, Emma U. (författare)
- Lund University,Lunds universitet,Berggrundsgeologi,Geologiska institutionen,Naturvetenskapliga fakulteten,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Molekylär evolution,Forskargrupper vid Lunds universitet,Lithosphere and Biosphere Science,Department of Geology,Faculty of Science,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Molecular Evolution,Lund University Research Groups
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- Amend, Sarah R. (författare)
- Johns Hopkins University School of Medicine
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- Brown, Joel S. (författare)
- H. Lee Moffitt Cancer Center & Research Institute
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(creator_code:org_t)
- 2023-02-28
- 2023
- Engelska.
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Ingår i: Medical Oncology. - : Springer Science and Business Media LLC. - 1357-0560 .- 1559-131X. ; 40:4
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this didactic paper, we present a theoretical modeling framework, called the G-function, that integrates both the ecology and evolution of cancer to understand oncogenesis. The G-function has been used in evolutionary ecology, but has not been widely applied to problems in cancer. Here, we build the G-function framework from fundamental Darwinian principles and discuss how cancer can be seen through the lens of ecology, evolution, and game theory. We begin with a simple model of cancer growth and add on components of cancer cell competition and drug resistance. To aid in exploration of eco-evolutionary modeling with this approach, we also present a user-friendly software tool. By the end of this paper, we hope that readers will be able to construct basic G function models and grasp the usefulness of the framework to understand the games cancer plays in a biologically mechanistic fashion.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Nyckelord
- Cancer evolution
- Eco-evolutionary dynamics
- Evolutionary game theory
- Mathematical modeling
- Resistance
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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