The dynamics of drug resistance: a mathematical perspective.
The dynamics of drug resistance: a mathematical perspective.
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DOI：
10.1016/j.drup.2012.01.003
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发表时间：
2012-02
影响因子：
24.3
通讯作者：
Levy, Doron
中科院分区：
文献类型：
--
作者：
Lavi, Orit;Gottesman, Michael M.;Levy, Doron
关键词：
对化疗的耐药性是成功治疗癌症的一个关键障碍，在过去的三十年里一直在深入研究。已经确定了几个中心机制有助于抵抗。在多药耐药性（MDR）的情况下，除了最初施用的药物之外，细胞变得对多种结构和机制上不相关的药物具有耐药性。药物抗性的数学模型已经处理了该领域的许多已知方面，例如药理学避难所和定位/扩散抗性，不依赖于治疗的内在抗性，包括诱导抗性（剂量依赖性）和获得性抗性（剂量依赖性）的治疗依赖性细胞改变。此外，还有考虑到动力学/相位阻力的数学模型，以及基于特定生物功能（如ABC转运蛋白，凋亡和修复机制）研究细胞内机制的模型。这篇综述涵盖了MDR的数学研究方面，并解释了如何从方法论的角度来看，数学可以用来研究耐药性。我们讨论了数学分析的定量方法，并演示了如何将数学与其他实验和临床工具结合使用。我们强调将分析和数学方法整合到未来的耐药性临床和实验研究中的潜在好处。
Resistance to chemotherapy is a key impediment to successful cancer treatment that has been intensively studied for the last three decades. Several central mechanisms have been identified as contributing to the resistance. In the case of multidrug resistance (MDR), the cell becomes resistant to a variety of structurally and mechanistically unrelated drugs in addition to the drug initially administered. Mathematical models of drug resistance have dealt with many of the known aspects of this field, such as pharmacologic sanctuary and location/diffusion resistance, intrinsic resistance that is therapy independent, therapy-dependent cellular alterations including induced resistance (dose-dependent) and acquired resistance (dose-independent). In addition, there are mathematical models that take into account the kinetic/phase resistance, and models that investigate intra-cellular mechanisms based on specific biological functions (such as ABC transporters, apoptosis and repair mechanisms). This review covers aspects of MDR that have been mathematically studied, and explains how, from a methodological perspective, mathematics can be used to study drug resistance. We discuss quantitative approaches of mathematical analysis, and demonstrate how mathematics can be used in combination with other experimental and clinical tools. We emphasize the potential benefits of integrating analytical and mathematical methods into future clinical and experimental studies of drug resistance.
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影响因子：
11.4
作者：
Hochhaus, A.;O'Brien, S. G.;Larson, R. A.
通讯作者：
Larson, R. A.
影响因子：
45.3
作者：
Bonadonna, G;Zambetti, M;Valagussa, P
通讯作者：
Valagussa, P
DOI：
10.1016/0005-2736(90)90074-x
发表时间：
1990-08-24
期刊：
BIOCHIMICA ET BIOPHYSICA ACTA
影响因子：
--
作者：
HORIO, M;PASTAN, I;HANDLER, JS
通讯作者：
HANDLER, JS
影响因子：
2
作者：
Foo, Jasmine;Michor, Franziska
通讯作者：
Michor, Franziska
影响因子：
1.6
作者：
Araujo, RP;Petricoin, EF;Liotta, LA
通讯作者：
Liotta, LA