We conclude that the mathematical model of prostate cancer of15 is useful for predicting behavior of PSA and hypothesize that use of the model could personalize the treatment schedule even if observations of the PSA levels obtained from a patient are noisy and short compared with time series obtained in the other fields. The gene discussed is KLK3; the disease is prostate carcinoma.