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題名 Optimal policies of non-cross-resistant chemotherapy on Goldie and Coldman’s cancer model
作者 Chen, Jeng-Huei;Kuo, Ya-Hui;Luh, Hsing Paul
陳政輝;郭雅慧;陸行
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 1-Feb-2016 16:06:46 (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
dc.creator (作者) Chen, Jeng-Huei;Kuo, Ya-Hui;Luh, Hsing Paul
dc.creator (作者) 陳政輝;郭雅慧;陸行zh_TW
dc.date (日期) 2013-10
dc.date.accessioned 1-Feb-2016 16:06:46 (UTC+8)-
dc.date.available 1-Feb-2016 16:06:46 (UTC+8)-
dc.date.issued (上傳時間) 1-Feb-2016 16:06:46 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/81030-
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.
dc.format.extent 780356 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Mathematical Biosciences, 245(2), 282-298
dc.subject (關鍵詞) Goldie and Coldman’s model; Drug resistance; Optimal cancer treatment
dc.title (題名) Optimal policies of non-cross-resistant chemotherapy on Goldie and Coldman’s cancer model
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.mbs.2013.07.020
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.mbs.2013.07.020