Adaptive therapy for ovarian cancer: An integrated approach to PARP inhibitor scheduling.

ABSTRACT: Toxicity and emerging drug resistance are important challenges in PARP inhibitor (PARPi) treatment of ovarian cancer. Recent research has shown that evolutionary-inspired treatment algorithms which adapt treatment to the tumor's treatment response (adaptive therapy) can help to mitigate both. Here, we present a first step in developing an adaptive therapy protocol for PARPi treatment by combining mathematical modelling and wet-lab experiments to characterize the cell population dynamics under different PARPi schedules. Using data from in vitro Incucyte Zoom time-lapse microscopy experiments and a step-wise model selection process we derive a calibrated and validated ordinary differential equation model, which we then use to test different plausible adaptive treatment schedules. Our

SUBMITTER: Strobl M 

PROVIDER: S-EPMC10055330 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature