Computational modeling of schedule-specific chemotherapy outcomes in mouse tumor model
Abstract Despite the rapid development of new innovative strategies in cancer treatment like immunotherapy, chemotherapy still remains a common choice in many cases. Standard protocols of chemotherapeutic administration rely on a maximal tolerated dose paradigm, however there is growing evidence that this approach is not always optimal. Alternative scheduling, like metronomic - low dose continuous drug administration - were recently proved their efficacy. The space of available variants of drug administration protocols is prohibitively large to be explored empirically, and there is an urgent need of predictive mathematical models for rational chemotherapeutic scheduling design. In this work we tested the ability of the minimal pharmacokinetic-pharmacodynamics model to describe schedule-specific tumor volume time evolution in different mouse tumor models.
