Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin

Abstract

Modeling tumor growth is a fundamental step in the design of automated, optimal, patient specific therapies. We extend our tumor growth model created to describe the effect of an angiogenic inhibitor in order to make it suitable to describe the effect of chemotherapy. By incorporating the dead tumor cell washout into our previous model, we are able to describe the most important phenomena during treatment with chemotherapy. We use measurements from experiments carried out on mice with a chemotherapeutic drug Pegylated Liposomal Doxorubicin, and carry out parametric identification of our model. The results show that the extended model can describe chemotherapy sufficiently.