Paul K. Newton, University of Southern California
Gaming the cancer-immunity cycle by synchronizing the dose schedules
We describe an evolutionary game theory mathematical model of the cancer-immunity cycle and use it to test several hypotheses regarding the combination, timing, and optimization associated with chemotherapy and immunotherapy dosing schedules in the context of competition and selection pressure. A key idea is the value of synchronizing the dosing schedules with the fundamental period of the cancer-immunity cycle. We show that synchronizing and optimizing the dose schedules can compensate for lower total dose, which opens up the possibility of designing less toxic and more efficacious dosing regimens.