A proposal of a new intermittent androgen suppression therapy method for prostate cancer with saddle type instability

被引：0

作者：

Suzuki, Yasuyuki ^{[1
]}

Sakai, Daichi ^{[1
]}

Hirata, Yoshito ^{[2
]}

Aihara, Kazuyuki ^{[2
]}

Nomura, Taishin ^{[1
]}

机构：

[1] Graduate School of Engineering Science, Osaka University

[2] Institute of Industrial Science, The University of Tokyo

来源：

Transactions of Japanese Society for Medical and Biological Engineering | 2014年 / 52卷

关键词：

Intermittent androgen suppression; Mathematical model; Prostate cancer;

D O I：

10.11239/jsmbe.52.O-424

中图分类号：

R96 [药理学]; R3 [基础医学]; R4 [临床医学];

学科分类号：

1001 ; 1002 ; 100602 ; 100706 ;

摘要：

The number of patients of prostate cancer is rapidly increasing. It is known that androgen enhances the growth of prostate cancer. Thus, continuous androgen suppression therapy, e.g. surgical castration and continuous medication, is used as the main form of therapy. However, many patients suffer from a relapse of the cancer. The relapse is rooted in changes of prostate cancer from androgen dependent to androgen independent. Intermittent androgen suppression (IAS) is a strategy to delay or possibly prevent the relapse. To prevent the prostate cancer from acquiring proliferating ability under the low androgen concentration condition, off-treatment periods in IAS therapy play an important role. Ideta et al. and Hirata et al. mathematically describe the dynamics of a tumor being treated by IAS. Analyses of these models show that the existing protocol of IAS therapy can be improved by our new protocol based on the region-dividing control. © 2014, Japan Soc. of Med. Electronics and Biol. Engineering. All rights reserved.

引用

页码：O / 424

共 3 条

[1]

Siegel R., Ward E., Brawley O., Jemal A., Cancer statistics, 2011: The impact of eliminating socioeconomic and racial disparities on premature cancer deaths, CA Cancer J. Clin, 61, pp. 212-236, (2011)

[2]

Ideta A., Tanaka G., Takeuchi T., Aihara K., A mathematical model of intermittent androgen suppression for prostate cancer, J. Nonlinear Sci, 18, pp. 593-614, (2008)

[3]

Hirata Y., Bruchovsky N., Aihara K., Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer, J. Theor. Biol, 264, pp. 517-527, (2010)

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