Drug Combination Studies and Their Synergy Quantification Using the Chou-Talalay Method

被引:4386
作者
Chou, Ting-Chao [1 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Mol Pharmacol & Chem Program, Preclin Pharmacol Core Lab, New York, NY 10021 USA
关键词
MICHAELIS-MENTEN; COMPUTERIZED SIMULATION; EXPERIMENTAL-DESIGN; XENOGRAFT TUMORS; KINETIC SYSTEMS; NUDE-MICE; ANTAGONISM; CHEMOTHERAPY; INHIBITIONS; EQUATIONS;
D O I
10.1158/0008-5472.CAN-09-1947
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
This brief perspective article focuses on the most common errors and pitfalls, as well as the do's and don'ts in drug combination studies, in terms of experimental design, data acquisition, data interpretation, and computerized simulation. The Chou-Talalay method for drug combination is based on the median-effect equation, derived from the mass-action law principle, which is the unified theory that provides the common link between single entity and multiple entities, and first order and higher order dynamics. This general equation encompasses the Michaelis-Menten, Hill, Henderson-Hasselbalch, and Scatchard equations in biochemistry and biophysics. The resulting combination index (CI) theorem of Chou-Talalay offers quantitative definition for additive effect (CI = 1), synergism (CI < 1), and antagonism (CI > 1) in drug combinations. This theory also provides algorithms for automated computer simulation for synergism and/or antagonism at any effect and dose level, as shown in the CI plot and isobologram, respectively. Cancer Res; 70(2); 440-6. (C)2010 AACR.
引用
收藏
页码:440 / 446
页数:7
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