Blasting neuroblastoma using optimal control of chemotherapy.
A mathematical model is used to investigate the effectiveness of the chemotherapy drug Topotecan against neuroblastoma. Optimal control theory is applied to minimize the tumor volume and the amount of drug utilized. The model incorporates a state constraint that requires the level of circulating neutrophils (white blood cells that form an integral part of the immune system) to remain above an acceptable value. The treatment schedule is designed to simultaneously satisfy this constraint and achieve the best results in fighting the tumor. Existence and uniqueness of the solution of the optimality system, which is the state system coupled with the adjoint system, is established. Numerical simulations are given to demonstrate the behavior of the tumor and the immune system components represented in the model.
Collins
Craig
C
Department of Mathematics and Statistics, Murray State University, Murray, KY 42071, USA. craig.collins@murraystate.edu
Fister
K Renee
KR
Key
Bethany
B
Williams
Mary
M
D000970:Antineoplastic Agents / Q000008:administration & dosage / Q000493:pharmacokinetics* / Q000627:therapeutic use; D002648:Child; D003198:Computer Simulation; D004334:Drug Administration Schedule; D016179:Granulocyte Colony-Stimulating Factor / Q000276:immunology; D006801:Humans; D018448:Models, Immunological; D009447:Neuroblastoma / Q000188:drug therapy / Q000276:immunology*; D009504:Neutrophils / Q000187:drug effects / Q000276:immunology*; D019772:Topotecan / Q000008:administration & dosage / Q000493:pharmacokinetics* / Q000627:therapeutic use
D000970:Antineoplastic Agents; D016179:Granulocyte Colony-Stimulating Factor; D019772:Topotecan