Evolution of acquired resistance to anti-cancer therapy

被引:192
作者
Foo, Jasmine [1 ]
Michor, Franziska [2 ,3 ]
机构
[1] Univ Minnesota, Sch Math, Minneapolis, MN 55455 USA
[2] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02215 USA
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02215 USA
关键词
Drug resistance; Cancer; Evolution; Mathematical modeling; Optimal dosing strategies; DRUG-RESISTANCE; MATHEMATICAL-MODEL; FLUCTUATION ANALYSIS; QUANTITATIVE MODELS; GENE AMPLIFICATION; STOCHASTIC-MODEL; TUMOR-GROWTH; LUNG-CANCER; DELBRUCK; MUTATION;
D O I
10.1016/j.jtbi.2014.02.025
中图分类号
Q [生物科学];
学科分类号
090105 [作物生产系统与生态工程];
摘要
Acquired drug resistance is a major limitation for the successful treatment of cancer. Resistance can emerge due to a variety of reasons including host environmental factors as well as genetic or epigenetic alterations in the cancer cells. Evolutionary theory has contributed to the understanding of the dynamics of resistance mutations in a cancer cell population, the risk of resistance pre-existing before the initiation of therapy, the composition of drug cocktails necessary to prevent the emergence of resistance, and optimum drug administration schedules for patient populations at risk of evolving acquired resistance. Here we review recent advances towards elucidating the evolutionary dynamics of acquired drug resistance and outline how evolutionary thinking can contribute to outstanding questions in the field. Published by Elsevier Ltd.
引用
收藏
页码:10 / 20
页数:11
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