System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer
Quantitative Biology - 2016
Tóm tắt
We review our studies on how to identify the most appropriate models of diseases, and how to determine their parameters in a quantitative manner given a short time series of biomarkers, using intermittent androgen deprivation therapy of prostate cancer as an example. Recently, it has become possible to estimate the specific parameters of individual patients within a reasonable time by employing the information concerning other previous patients as a prior.We discuss the importance of using multiple mathematical methods simultaneously to achieve a solid diagnosis and prognosis in the future practice of personalized medicine.
Từ khóa
Tài liệu tham khảo
Ideta, A. M., Tanaka, G., Takeuchi, T. and Aihara, K. (2008) A mathematical model of intermittent androgen suppression for prostate cancer. J. Nonlinear Sci., 18, 593–614
Shimada, T. and Aihara, K. (2008) A nonlinear model with competition between prostate tumor cells and its application to intermittent androgen suppression therapy of prostate cancer. Math. Biosci., 214, 134–139
Hirata, Y., Bruchovsky, N. and Aihara, K. (2010) Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer. J. Theor. Biol., 264, 517–527
Jain, H. V., Clinton, S. K., Bhinder, A. and Friedman, A. (2011) Mathematical modeling of prostate cancer progression in response to androgen ablation therapy. Proc. Natl. Acad. Sci. USA, 108, 19701–19706
Portz, T., Kuang, Y. and Nagy, J. D. (2012) A clinical data validated mathematical model of prostate cancer growth under intermittent androgen suppression therapy. AIP Adv., 2, 011002.
Akakura, K., Bruchovsky, N., Goldenberg, S. L., Rennie, P. S., Buckley, A. R. and Sullivan, L. D. (1993) Effects of intermittent androgen suppression on androgen-dependent tumors. Apoptosis and serum prostate-specific antigen. Cancer, 71, 2782–2790
Bruchovsky, N., Klotz, L., Crook, J., Malone, S., Ludgate, C., Morris, W. J., Gleave, M. E. and Goldenberg, S. L. (2006) Final results of the Canadian prospective phase II trial of intermittent androgen suppression for men in biochemical recurrence after radiotherapy for locally advanced prostate cancer: clinical parameters. Cancer, 107, 389–395
Bruchovsky, N., Klotz, L., Crook, J. and Goldenberg, S. L. (2007) Locally advanced prostate cancer—biochemical results from a prospective phase II study of intermittent androgen suppression for men with evidence of prostate-specific antigen recurrence after radiotherapy. Cancer, 109, 858–867
Crook, J. M., O’Callaghan, C. J., Duncan, G., Dearnaley, D. P., Higano, C. S., Horwitz, E. M., Frymire, E., Malone, S., Chin, J., Nabid, A., et al. (2012) Intermittent androgen suppression for rising PSA level after radiotherapy. N. Engl. J. Med., 367, 895–903
Hussain, M., Tangen, C. M., Berry, D. L., Higano, C. S., Crawford, E. D., Liu, G., Wilding, G., Prescott, S., Kanaga Sundaram, S., Small, E. J., et al. (2013) Intermittent versus continuous androgen deprivation in prostate cancer. N. Engl. J. Med., 368, 1314–1325
Morino, K., Hirata, Y., Tomioka, R., Kashima, H., Yamanishi, K., Hayashi, N., Egawa, S. and Aihara, K. (2015) Predicting disease progression from short biomarker series using expert advice algorithm. Sci. Rep., 5, 8953
Hirata, Y., Morino, K., Akakura, K., Higano, C. S., Bruchovsky, N., Gambol, T., Hall, S., Tanaka, G. and Aihara, K. (2015) Intermittent androgen suppression: Estimating parameters for individual patients based on initial PSA data in response to androgen deprivation therapy. PLoS One, 10, e0130372
Suzuki, T., Bruchovsky, N. and Aihara, K. (2010) Piecewise affine systems modelling for optimizing hormone therapy of prostate cancer. Philos. Trans. A Math. Phys. Eng. Sci., 368, 5045–5059
Hirata, Y., di Bernardo, M., Bruchovsky, N. and Aihara, K. (2010) Hybrid optimal scheduling for intermittent androgen suppression of prostate cancer. Chaos, 20, 045125
Hirata, Y., Azuma, S. and Aihara, K. (2014) Model predictive control for optimally scheduling intermittent androgen suppression of prostate cancer. Methods, 67, 278–281
Tanaka, G., Hirata, Y., Goldenberg, S. L., Bruchovsky, N. and Aihara, K. (2010) Mathematical modelling of prostate cancer growth and its application to hormone therapy. Philos. Trans. A Math. Phys. Eng. Sci., 368, 5029–5044
Kuramae, H., Hirata, Y., Bruchovsky, N., Aihara, K. and Suzuki, H. (2011) Nonlinear systems identification by combining regression with bootstrap resampling. Chaos, 21, 043121
Hirata, Y., Akakura, K., Higano, C. S., Bruchovsky, N. and Aihara, K. (2012) Quantitative mathematical modeling of PSA dynamics of prostate cancer patients treated with intermittent androgen suppression. J. Mol. Cell Biol., 4, 127–132
Guo, Q., Lu, Z., Hirata, Y. and Aihara, K. (2013) Parameter estimation and optimal scheduling algorithm for a mathematical model of intermittent androgen suppression therapy for prostate cancer. Chaos, 23, 043125
Suzuki, T. and Aihara, K. (2013) Nonlinear system identification for prostate cancer and optimality of intermittent androgen suppression therapy. Math. Biosci., 245, 40–48
Suzuki, Y., Sakai, D., Nomura, T., Hirata, Y. and Aihara, K. (2014) A new protocol for intermittent androgen suppression therapy of prostate cancer with unstable saddle-point dynamics. J. Theor. Biol., 350, 1–16
Tao, Y., Guo, Q. and Aihara, K. (2015) A partial differential equation model and its reduction to an ordinary differential equation model for prostate tumor growth under intermitten thormone therapy. J. Math. Biol., 69, 817–838
Cover, T.M. and Thomas, J. A. (1991) Elements of Information Theory. New York: Wiley Interscience Publication