An elementary approach to modeling drug resistance in cancer.

An elementary approach to modeling drug resistance in cancer.
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DOI:
10.3934/mbe.2010.7.905
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发表时间:
2010-10
期刊:
Mathematical biosciences and engineering : MBE
影响因子:
--
通讯作者:
Levy D
Levy D
中科院分区:
其他
文献类型:
--
作者:
Tomasetti C;Levy D

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对药物的抗药性一直是许多疾病成功治疗的障碍。在这项工作中,我们考虑了癌症的耐药性问题,重点是随机遗传点突变。以前关于这种耐药性的数学模型的大部分工作都是基于随机方法。相反,我们的方法是基于一个基本的常微分方程组。我们使用非常简单的方法来得出与以前使用复杂得多的数学技术获得的结果相当的抗药性结果。我们模型的简单性使我们能够获得对任何数量的药物的耐药性的分析结果。特别是,我们表明,在治疗开始之前产生的抵抗量,以及在之后的某个给定时间出现的抵抗量,总是取决于周转率,无论在治疗中同时使用多少药物。
Resistance to drugs has been an ongoing obstacle to a successful treatment of many diseases. In this work we consider the problem of drug resistance in cancer, focusing on random genetic point mutations. Most previous works on mathematical models of such drug resistance have been based on stochastic methods. In contrast, our approach is based on an elementary, compartmental system of ordinary differential equations. We use our very simple approach to derive results on drug resistance that are comparable to those that were previously obtained using much more complex mathematical techniques. The simplicity of our model allows us to obtain analytic results for resistance to any number of drugs. In particular, we show that the amount of resistance generated before the start of the treatment, and present at some given time afterward, always depends on the turnover rate, no matter how many drugs are simultaneously used in the treatment.
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影响因子: 11.1
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