The optimal dose of CAF regimen in adjuvant chemotherapy for breast cancer patients at stage IIB.

This paper deals with the idea of balancing drug effects on tumor and normal cell populations based on a variety of criteria, which is evaluated by the oncologist for breast cancer patients at stage IIB. In this paper, the optimal controller represents the optimal drug dosage of CAF (Cyclophosphamide, Adriamycin and Fluorouracil) regimen in adjuvant chemotherapy after surgery for these patients. We determined the doses of CAF regimen by minimizing a cost function with some constraints. The cost function includes the cancer cell and the normal cell growth dynamics with prescribed weighting coefficients for each patient. The physician determines these weighting coefficients based on some individual parameters. The optimal treatment schedules are computed based on a trade-off between the cancer cell reduction and the normal cell preserving. Numerical simulations are given to illustrate the accuracy of the optimal controller.

[1]  G. W. Swan Role of optimal control theory in cancer chemotherapy. , 1990, Mathematical biosciences.

[2]  V. Devita,et al.  Cancer : Principles and Practice of Oncology , 1982 .

[3]  Jun Cai,et al.  Automating the drug scheduling of cancer chemotherapy via evolutionary computation , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[4]  R. B. Martin,et al.  Optimal control drug scheduling of cancer chemotherapy , 1992, Autom..

[5]  J. M. Murray,et al.  Optimal control for a stochastic model of cancer chemotherapy. , 2000, Mathematical biosciences.

[6]  R. Bassanezi,et al.  Chemotherapeutic treatments involving drug resistance and level of normal cells as a criterion of toxicity. , 1995, Mathematical biosciences.

[7]  T. H. I. Jaakola,et al.  Optimization by direct search and systematic reduction of the size of search region , 1973 .

[8]  D. C. Baquiran Lippincott's Cancer Chemotherapy Handbook , 1997 .

[9]  Shea N Gardner,et al.  New tools for cancer chemotherapy: computational assistance for tailoring treatments. , 2003, Molecular cancer therapeutics.

[10]  Tong Heng Lee,et al.  Automating the drug scheduling of cancer chemotherapy via evolutionary computation , 2002, Artif. Intell. Medicine.

[11]  A. G. Floares,et al.  Adaptive neural networks control of drug dosage regimens in cancer chemotherapy , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[12]  M. Karbakhsh,et al.  Breast cancer in Iran: results of a multi-center study. , 2004, Asian Pacific journal of cancer prevention : APJCP.