Cardilin Tim, Almquist Joachim, Jirstrand Mats, Sostelly Alexandre, Amendt Christiane, El Bawab Samer, Gabrielsson Johan
Fraunhofer-Chalmers Centre, Chalmers Science Park, Gothenburg, Sweden.
Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
AAPS J. 2017 Mar;19(2):456-467. doi: 10.1208/s12248-016-9991-1. Epub 2016 Sep 28.
Combination therapies are widely accepted as a cornerstone for treatment of different cancer types. A tumor growth inhibition (TGI) model is developed for combinations of cetuximab and cisplatin obtained from xenograft mice. Unlike traditional TGI models, both natural cell growth and cell death are considered explicitly. The growth rate was estimated to 0.006 h and the natural cell death to 0.0039 h resulting in a tumor doubling time of 14 days. The tumor static concentrations (TSC) are predicted for each individual compound. When the compounds are given as single-agents, the required concentrations were computed to be 506 μg · mL and 56 ng · mL for cetuximab and cisplatin, respectively. A TSC curve is constructed for different combinations of the two drugs, which separates concentration combinations into regions of tumor shrinkage and tumor growth. The more concave the TSC curve is, the lower is the total exposure to test compounds necessary to achieve tumor regression. The TSC curve for cetuximab and cisplatin showed weak concavity. TSC values and TSC curves were estimated that predict tumor regression for 95% of the population by taking between-subject variability into account. The TSC concept is further discussed for different concentration-effect relationships and for combinations of three or more compounds.
联合疗法被广泛认为是治疗不同癌症类型的基石。针对从异种移植小鼠获得的西妥昔单抗和顺铂组合建立了肿瘤生长抑制(TGI)模型。与传统的TGI模型不同,该模型明确考虑了自然细胞生长和细胞死亡。估计生长速率为0.006 h,自然细胞死亡率为0.0039 h,导致肿瘤倍增时间为14天。预测了每种单独化合物的肿瘤静态浓度(TSC)。当将这些化合物作为单一药物给药时,计算得出西妥昔单抗和顺铂所需的浓度分别为506 μg·mL和56 ng·mL。构建了两种药物不同组合的TSC曲线,该曲线将浓度组合分为肿瘤缩小区域和肿瘤生长区域。TSC曲线越凹,实现肿瘤消退所需的测试化合物总暴露量就越低。西妥昔单抗和顺铂的TSC曲线显示出较弱的凹度。通过考虑个体间变异性,估计了TSC值和TSC曲线,这些值和曲线可预测95%人群的肿瘤消退情况。针对不同的浓度-效应关系以及三种或更多化合物的组合,进一步讨论了TSC概念。