Modeling cancer’s ecological and evolutionary dynamics

Author:

Bukkuri AnuraagORCID,Pienta Kenneth J.,Hockett Ian,Austin Robert H.,Hammarlund Emma U.,Amend Sarah R.,Brown Joel S.

Abstract

AbstractIn 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.

Funder

Stiftelsen Längmanska kulturfonden

Royal Swedish Academy of Sciences Stiftelsen GS Magnusons fond

Crafoord Foundation

National Science Foundation Graduate Research Fellowship Program

NCI

Prostate Cancer Foundation

Patrick C. Walsh Prostate Cancer Research Fund

ParadOX-ERC Starting Grant

Swedish Research Council

Lund University

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,Hematology,General Medicine

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