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
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献