title: Evolutionary triage governs fitness in driver and passenger mutations and suggests targeting never mutations.
abstract: Genetic and epigenetic changes in cancer cells are typically divided into 'drivers' and 'passengers'. Drug development strategies target driver mutations, but inter- and intratumoral heterogeneity usually results in emergence of resistance. Here we model intratumoral evolution in the context of a fecundity/survivorship trade-off. Simulations demonstrate that the fitness value of any genetic change is not fixed but dependent on evolutionary triage governed by initial cell properties, current selection forces and prior genotypic/phenotypic trajectories. We demonstrate that spatial variations in molecular properties of tumour cells are the result of changes in environmental selection forces such as blood flow. Simulated therapies targeting fitness-increasing (driver) mutations usually decrease the tumour burden but almost inevitably fail due to population heterogeneity. An alternative strategy targets gene mutations that are never observed. Because up or downregulation of these genes unconditionally reduces cellular fitness, they are eliminated by evolutionary triage but can be exploited for targeted therapy.
authors.affiliation: Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, Florida 33612, USA.
authors.forename: R A
authors.initials: RA
authors.lastname: Gatenby
authors.affiliation: Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, Florida 33612, USA.
authors.forename: J J
authors.initials: JJ
authors.lastname: Cunningham
authors.affiliation: Department of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois 60607, USA.
authors.forename: J S
authors.initials: JS
authors.lastname: Brown
mesh_terms: D003198:Computer Simulation; D044127:Epigenesis, Genetic; D019143:Evolution, Molecular; D056084:Genetic Fitness / Q000235:genetics*; D006801:Humans; D008957:Models, Genetic; D009154:Mutation; D009369:Neoplasms / Q000235:genetics*