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題名 Optimal Policies of Non-Cross-Resistant Chemotherapy on Goldie and Coldman`s Cancer Model
作者 陳政輝
Chen, Jeng-Huei
郭雅慧
Kuo, Ya-Hui
陸行
Luh, Hsing Paul
貢獻者 應數系
關鍵詞 Goldie and Coldman’s model;Drug resistance;Optimal cancer treatment
日期 2013.10
上傳時間 9-Dec-2013 13:37:00 (UTC+8)
摘要 Mathematical models can be used to study the chemotherapy on tumor cells. Especially, in 1979, Goldie and Coldman proposed the first mathematical model to relate the drug sensitivity of tumors to their mutation rates. Many scientists have since referred to this pioneering work because of its simplicity and elegance. Its original idea has also been extended and further investigated in massive follow-up studies of cancer modeling and optimal treatment. Goldie and Coldman, together with Guaduskas, later used their model to explain why an alternating non-cross-resistant chemotherapy is optimal with a simulation approach. Subsequently in 1983, Goldie and Coldman proposed an extended stochastic based model and provided a rigorous mathematical proof to their earlier simulation work when the extended model is approximated by its quasi-approximation. However, Goldie and Coldman’s analytic study of optimal treatments majorly focused on a process with symmetrical parameter settings, and presented few theoretical results for asymmetrical settings. In this paper, we recast and restate Goldie, Coldman, and Guaduskas’ model as a multi-stage optimization problem. Under an asymmetrical assumption, the conditions under which a treatment policy can be optimal are derived. The proposed framework enables us to consider some optimal policies on the model analytically. In addition, Goldie, Coldman and Guaduskas’ work with symmetrical settings can be treated as a special case of our framework. Based on the derived conditions, this study provides an alternative proof to Goldie and Coldman’s work. In addition to the theoretical derivation, numerical results are included to justify the correctness of our work.
關聯 Mathematical Biosciences, 245(2), 282-298
資料類型 article
DOI http://dx.doi.org/10.1016/j.mbs.2013.07.020
dc.contributor 應數系en_US
dc.creator (作者) 陳政輝zh_TW
dc.creator (作者) Chen, Jeng-Hueien_US
dc.creator (作者) 郭雅慧zh_TW
dc.creator (作者) Kuo, Ya-Huien_US
dc.creator (作者) 陸行zh_TW
dc.creator (作者) Luh, Hsing Paulen_US
dc.date (日期) 2013.10en_US
dc.date.accessioned 9-Dec-2013 13:37:00 (UTC+8)-
dc.date.available 9-Dec-2013 13:37:00 (UTC+8)-
dc.date.issued (上傳時間) 9-Dec-2013 13:37:00 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/62300-
dc.description.abstract (摘要) Mathematical models can be used to study the chemotherapy on tumor cells. Especially, in 1979, Goldie and Coldman proposed the first mathematical model to relate the drug sensitivity of tumors to their mutation rates. Many scientists have since referred to this pioneering work because of its simplicity and elegance. Its original idea has also been extended and further investigated in massive follow-up studies of cancer modeling and optimal treatment. Goldie and Coldman, together with Guaduskas, later used their model to explain why an alternating non-cross-resistant chemotherapy is optimal with a simulation approach. Subsequently in 1983, Goldie and Coldman proposed an extended stochastic based model and provided a rigorous mathematical proof to their earlier simulation work when the extended model is approximated by its quasi-approximation. However, Goldie and Coldman’s analytic study of optimal treatments majorly focused on a process with symmetrical parameter settings, and presented few theoretical results for asymmetrical settings. In this paper, we recast and restate Goldie, Coldman, and Guaduskas’ model as a multi-stage optimization problem. Under an asymmetrical assumption, the conditions under which a treatment policy can be optimal are derived. The proposed framework enables us to consider some optimal policies on the model analytically. In addition, Goldie, Coldman and Guaduskas’ work with symmetrical settings can be treated as a special case of our framework. Based on the derived conditions, this study provides an alternative proof to Goldie and Coldman’s work. In addition to the theoretical derivation, numerical results are included to justify the correctness of our work.en_US
dc.format.extent 780356 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Mathematical Biosciences, 245(2), 282-298en_US
dc.subject (關鍵詞) Goldie and Coldman’s model;Drug resistance;Optimal cancer treatmenten_US
dc.title (題名) Optimal Policies of Non-Cross-Resistant Chemotherapy on Goldie and Coldman`s Cancer Modelen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.mbs.2013.07.020en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.mbs.2013.07.020en_US