Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations
Tommaso Lorenzi, Rebecca H Chisholm, Jean Clairambault
Biology Direct | BMC | Published : 2016
BACKGROUND: A thorough understanding of the ecological and evolutionary mechanisms that drive the phenotypic evolution of neoplastic cells is a timely and key challenge for the cancer research community. In this respect, mathematical modelling can complement experimental cancer research by offering alternative means of understanding the results of in vitro and in vivo experiments, and by allowing for a quick and easy exploration of a variety of biological scenarios through in silico studies. RESULTS: To elucidate the roles of phenotypic plasticity and selection pressures in tumour relapse, we present here a phenotype-structured model of evolutionary dynamics in a cancer cell population which..View full abstract
Awarded by French National Research Agency through the "ANR blanche" project Kibord
This work was supported in part by the French National Research Agency through the "ANR blanche" project Kibord [ANR-13-BS01-0004]. The authors thank the Reviewers for their most helpful and insightful comments on the article.