Skip to main content
Log in

Mathematical approaches to optimization of cancer chemotherapy

  • Published:
Bulletin of Mathematical Biology Aims and scope Submit manuscript

Abstract

This paper uses optimal control theory in conjunction with a Gompertzian type model for cellular growth to determine the optimal method of administering cycle non-specific chemotherapy or more generally the optimal durations of treatment and rest periods during chemotherapy. The performance critera employed to determine the relative merits of the therapy include not only the destruction of malignant cells, but also the sparing of a critical normal tissue. Since these criteria are at odds with one another, the solutions are found which satisfy the Pareto optimality conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Literature

  • Almquist, K. J. and H. T. Banks. 1976. “A Theoretical and Computational Method for Determining Optimal Treatment Schedules in Fractionated Radiation Therapy”Math. Biosci.,29, 159–179.

    Article  MATH  Google Scholar 

  • Aroesty, J., T. Lincoln, N. Shapiro and G. Boccia. 1973. “Tumor Growth and Chemotherapy: Mathematical Methods, Computer Simulation, and Experimental Foundations.”Math. Biosci.,17, 243–300.

    Article  MATH  Google Scholar 

  • Berenbaum, M. C. 1969. “Dose-response Curves for Agents that Impair Cell Reproductive Integrity.”Br. J. Cancer,23, 434–445.

    Google Scholar 

  • Bremermann, H. 1970. “A Global Method for Unconstrained Optimization.”Math Biosci.,9, 1–15.

    Article  MATH  MathSciNet  Google Scholar 

  • Goodman, L. and A. Gilman. 1970.The Pharmacological Basis of Therapeutics, 4th edn. pp. 17–19. New York: Macmillan.

    Google Scholar 

  • Laird, A. K. 1969. “Dynamics of Growth in Tumors and Normal Organisms.”Human Tumor Cell Kinetics, NCI Monograph V 30, pp. 15–28.

    Google Scholar 

  • Leitmann, G. 1974.Cooperative and Non-cooperative Many Player Differential Games, International Centre for Mechanical Sciences Course Lectures. No. 190. Springer Verlag Udine.

    Google Scholar 

  • Leitmann, G. 1966.An Introduction to Optimal Control. New York: McGraw-Hill.

    Google Scholar 

  • Nicolini, C. 1976. “The Principles and Methods of Cell Synchrony in Cancer Chemotherapy.”BBA 458 (1976), pp. 243–282.

    Google Scholar 

  • Nicolini, C., E. Milgram, F. Kendall and W. Giaretti. 1977. “Mathematical Models for Drug Actionin vitroGrowth Kinetics and Biochemical Regulation of Normal and Malignant Cells. (Eds. B. Drewinko and R. M. Humphrey. Baltimore: Williams & Williams.

    Google Scholar 

  • Nicolini, N. and F. Kendall. 1975. “Monte Carlo Simulation of Drug Action in Intact Animals.”Mathematical Modeling in Cell Kinetics (Ed. A. J. Valleron) pp. 81–83. Ghent: European Press Medikon.

    Google Scholar 

  • Swan, G. and T. Vincent. 1977. “Optimal Control Analysis in the Chemotherapy of IgC Multiple Myeloma.”Bull. Math. Biol.,39, 317–337.

    Article  MATH  Google Scholar 

  • Yu, P. L. and G. Leitmann. 1974. “Non-dominated decisions and Cone Convexity in Dynamic Multicriteria Decision Problems.”JOTA,14, (5) 573–584.

    Article  MATH  MathSciNet  Google Scholar 

  • Zeleny, M. 1974. Linear Multiobjective Programming Lecture Notes in Economics and Mathematical Systems.” Vol. 95. New York: Springer-Verlag.

    Google Scholar 

  • Zietz, S. 1977. “Mathematical Modeling of Cellular Kinetics and Optimal Control Theory in the Service of Cancer Chemotherapy.” Ph.D. Thesis, Dept. of Math., University of California, Berkeley.

    Google Scholar 

  • Zietz, S., C. Desaire, M. Grattarola, and C. Nicolini. 1978. “Deterministic Mathematical Models to Obtain Optimized Drug Metabolism and Cell Kinetic Parameters as a Function of Dosage from Both Autoradiographic and Flow Microfluorimetric Analysis.” In:Biomathematics and Cell Kinetics (Ed. A.-J. Valleron), pp. 431–438. Amsterdam: Elsevier.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zietz, S., Nicolini, C. Mathematical approaches to optimization of cancer chemotherapy. Bltn Mathcal Biology 41, 305–324 (1979). https://doi.org/10.1007/BF02460814

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02460814

Keywords

Navigation