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癌症的放化疗联合的数学最优化。

Mathematical optimization of the combination of radiation and differentiation therapies for cancer.

机构信息

Department of Mathematical and Statistical Sciences, Centre for Mathematical Biology, University of Alberta Edmonton, AB, Canada.

出版信息

Front Oncol. 2013 Mar 18;3:52. doi: 10.3389/fonc.2013.00052. eCollection 2013.

DOI:10.3389/fonc.2013.00052
PMID:23508300
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3600539/
Abstract

Cancer stem cells (CSC) are considered to be a major driver of cancer progression and successful therapies must control CSCs. However, CSC are often less sensitive to treatment and they might survive radiation and/or chemotherapies. In this paper we combine radiation treatment with differentiation therapy. During differentiation therapy, a differentiation promoting agent is supplied (e.g., TGF-beta) such that CSCs differentiate and become more radiosensitive. Then radiation can be used to control them. We consider three types of cancer: head and neck cancer, brain cancers (primary tumors and metastatic brain cancers), and breast cancer; and we use mathematical modeling to show that combination therapy of the above type can have a large beneficial effect for the patient; increasing treatment success and reducing side effects.

摘要

癌症干细胞(CSC)被认为是癌症进展的主要驱动因素,因此成功的治疗方法必须控制 CSC。然而,CSC 通常对治疗的敏感性较低,它们可能在放疗和/或化疗后存活。在本文中,我们将放疗与分化疗法相结合。在分化疗法期间,提供促进分化的药物(例如 TGF-β),使得 CSC 分化并变得对放疗更敏感。然后可以使用放疗来控制它们。我们考虑了三种癌症:头颈部癌症、脑癌(原发性肿瘤和转移性脑癌)和乳腺癌;并使用数学建模表明,上述类型的联合治疗对患者有很大的有益效果;提高治疗成功率并减少副作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/736bd9f5c2a4/fonc-03-00052-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/d2b26eb3f8ba/fonc-03-00052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/8193c73bb478/fonc-03-00052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/e66f944bf021/fonc-03-00052-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/736bd9f5c2a4/fonc-03-00052-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/d2b26eb3f8ba/fonc-03-00052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/8193c73bb478/fonc-03-00052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/e66f944bf021/fonc-03-00052-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6067/3600539/736bd9f5c2a4/fonc-03-00052-g004.jpg

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本文引用的文献

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J Theor Biol. 2013 Apr 21;323:25-39. doi: 10.1016/j.jtbi.2013.01.014. Epub 2013 Jan 29.
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Optimal treatment and stochastic modeling of heterogeneous tumors.异质性肿瘤的最佳治疗与随机建模
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