Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 17, Iss. 4, Oct, 2013, pp. 449-463 @2013 Society for Chaos Theory in Psychology & Life Sciences Dynamical Analysis of the Interaction between Effector Immune and Cancer Cells and Optimal Control of Chemotherapy Abstract: It is well known that the tumor chemotherapy treatment has damaging side effects and hence,
optimal control of this treatment is extremely important. With this in mind an accurate and
comprehensive mathematical model could be useful. Various mathematical models have been derived to
describe not only the beneficial effects of the immune system on controlling the growing tumor,
but also to track, directly, the detrimental effects of chemotherapy on both the tumor cell and the
immune cell populations. In this article, we offer a novel mathematical model presented by
fractional differential equations. This model will then be used to analyze the bifurcation and
stability of the complex dynamics which occur in the local interaction of effector-immune cell and
tumor cells in a solid tumor. We will also investigate the optimal control of combined chemo-immunotherapy.
We argue that our fractional differential equations model will be superior to its
ordinary differential equations counterpart in facilitating understanding of the natural immune interactions
to tumor and of the detrimental side-effects which chemotherapy may have on a patient s immune system. Keywords: mathematical biology, cancer chemotherapy, optimal drug control |