TITLE:
Optimal Immunotherapy Control of Aggressive Tumors Growth
AUTHORS:
Elnaz Keikhosoro Kiani, Ali Vahidian Kamyad, Hedayatollah Shirzad
KEYWORDS:
Aggressive Tumor; Immunotherapy; Optimal Control; AVK Method
JOURNAL NAME:
Intelligent Control and Automation,
Vol.3 No.2,
May
23,
2012
ABSTRACT: Tumor cells can evade immune surveillance by secreting immuno-suppressive factors such as transforming growth factor-beta (TGF-β) and also, Interlukin-10 (IL-10). In this paper the optimal control of mathematical model for aggressive tumor growth via a new and proper approach known as AVK method has been considered. Moreover, we have implemented a special treatment so-called small interfering RNA (siRNA) to reduce presence and effect of TGF-β in tumor cells and also we have added Interlukin-2 (IL-2) into our treatment model to minimize the population of tumor cells. Further research and experimentation with these combination therapies may provide an effective solution in addressing the immuno-suppressive effects of TGF-β. Finally, we analyze the optimal control and system optimality of these equations using numerical techniques.