Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment

Targeted molecular therapies opened new ways and increased the efficiency of cancer therapies. Antiangiogenic therapy focuses against the growth of tumor by blocking the blood vessel formation of it. Its control engineering perspective has been presented several times, but its key point represents modeling the tumor growth. The purpose of our research is to go beyond the already published minimalistic approach and set up a bi-compartmental (vasculature-dependent tumor growth and angiogenesis) model. The aim of the current paper is to extend our recently published dynamical bicompartmetal model to include the effect of not only for antiangiogenic, but also cytotoxic drugs as well as input. We compare the effect of the two different inputs on the model dynamics in the context of final tumor volume, which can be used as a measure of therapy effectiveness. According to the model prediction, the combination of drugs is more efficient compared to either mono-therapy. Furthermore, we compare an optimized open-loop protocol with a very simple intuitive feedback therapy solution.