NONLINEAR DYNAMICS IN TUMOR-IMMUNE SYSTEM INTERACTION MODELS WITH DELAYS

In this paper, we review some recent results on the nonlinear dynamics of delayed differential equation models describing the interaction between tumor cells and effector cells of the immune system, in which the delays represent times necessary for molecule production, proliferation, differentiation of cells, transport, etc. First we consider a tumor-immune system interaction model with a single delay and present results on the existence and local stability of equilibria as well as the existence of Hopf bifurcation in the model when the delay varies. Second we investigate a tumor-immune system interaction model with two delays and show that the model undergoes various possible bifurcations including Hopf, Bautin, Fold-Hopf (zero-Hopf), and Hopf-Hopf bifurcations. Finally we discuss a tumor-immune system interaction model with three delays and demonstrate that the model exhibits more complex behaviors including chaos. Numerical simulations are provided to illustrate the nonlinear dynamics of the delayed tumor-immune system interaction models. More interesting issues and questions on modeling and analyzing tumor-immune dynamics are given in the discussion section.

Automated summary

This paper reviews recent research on the nonlinear dynamics of delayed differential equation models describing the interaction between tumor cells and effector cells of the immune system. The study investigates models with different numbers of delays and reveals various possible bifurcations and complex behaviors in the interaction dynamics. The results provide insights into the complexity of tumor-immune system interactions and pose interesting questions for future research.