Abstract
Intermittent androgen suppression therapy is increasingly employed as an alternative method of advanced prostate cancer. However, it remains controversial whether intermittent therapy is superior to continuous therapy in controlling cancer progression. In this paper, we study the mathematical model for early treatment of prostate cancer that incorporates the individual differences and the pharmacodynamics of drugs. The mathematical criteria for selection of better treatment are established on the basis of stability of periodic solution induced by treatment. Numerical results further explore the optimal design of intermittent treatment. The results provide valuable insights for clinical practice.
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