Integrating evolutionary dynamics into treatment of metastatic castrate-resistant prostate cancer
Moffitt Cancer Center · University of Illinois Chicago
Abstract
Abiraterone treats metastatic castrate-resistant prostate cancer by inhibiting CYP17A, an enzyme for testosterone auto-production. With standard dosing, evolution of resistance with treatment failure (radiographic progression) occurs at a median of ~16.5 months. We hypothesize time to progression (TTP) could be increased by integrating evolutionary dynamics into therapy. We developed an evolutionary game theory model using Lotka-Volterra equations with three competing cancer "species": androgen dependent, androgen producing, and androgen independent. Simulations with standard abiraterone dosing demonstrate strong selection for androgen-independent cells and rapid treatment failure. Adaptive therapy, using…
Citation impact
- FWCI
- 41.43
- Percentile
- 100%
- References
- 37
Authors
4Topics & keywords
- Prostate cancer
- Evolutionary dynamics
- Cancer
- Prostate
- Dynamics (music)
- Biology
- Oncology
- Medicine
- Good health and well-being
Funding
- JSJames S. McDonnell Foundation
- MCMoffitt Cancer CenterAwards: U54CA143970-05, U54CA143970, P30-CA076292, CA076292
- ECEuropean CommissionAward: 690817
- NINational Institutes of HealthAwards: NCI U54CA143970-05, U54CA143970, R01CA170595, NIH/NCI U54CA143970-05, P30-CA076292, U54CA143970-05
- NCNational Cancer InstituteAwards: NIH/NCI U54CA143970-05, P30-CA076292, R01CA170595, U54CA143970, U54CA143970-05, CA076292