化疗效应的药效学模型:应用转运隔室模型描述甲氨蝶呤的体外效应。

AAPS PharmSci Pub Date : 2002-01-01 DOI:10.1208/ps040442
Evelyn D Lobo, Joseph P Balthasar
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引用次数: 0

摘要

相对于化疗暴露的时间过程而言,化疗效果的时间过程往往是延迟的。在许多情况下,这种延迟很难通过使用标准药效学模型进行数学表征。在本研究中,我们研究了甲氨蝶呤(MTX)暴露与 MTX 对培养物中肿瘤细胞生长影响的时间进程之间的关系。将艾氏腹水癌细胞和肉瘤 180 细胞这两种癌细胞系暴露于浓度相差 700 多倍(0.19-140 微克/毫升)的 MTX 中 24 小时。通过使用四氮唑检测法,对艾氏腹水瘤细胞在第 1、3、5、7、9、11、13、15、17、20、22 和 24 天的存活细胞进行计数,对肉瘤 180 细胞在第 1、2、3、5、7、9、11、13、14、15、17、19 和 21 天的存活细胞进行计数。虽然 MTX 在使用 24 小时后就被移除,但细胞数量在接触 MTX 超过 100 小时后达到最低值。每种细胞系的数据都与化疗细胞杀伤的 3 种药效学模型相匹配:细胞周期阶段特异性模型、阶段非特异性模型和中转区模型(基于 Mager 和 Jusko 最近报告的通用模型,Clin Pharmacol Ther.70:210-216, 2001).与标准药效学模型相比,中转室模型能更准确地捕捉数据,相关系数从 0.86 到 0.999 不等。该报告表明,过境区室模型成功地应用于描述化疗作用的复杂时间过程;这种模型可能对制定癌症化疗的优化策略非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pharmacodynamic modeling of chemotherapeutic effects: application of a transit compartment model to characterize methotrexate effects in vitro.

The time course of chemotherapeutic effect is often delayed relative to the time course of chemotherapeutic exposure. In many cases, this delay is difficult to characterize mathematically through the use of standard pharmacodynamic models. In the present work, we investigated the relationship between methotrexate (MTX) exposure and the time course of MTX effects on tumor cell growth in culture. Two cancer cell lines, Ehrlich ascites cells and sarcoma 180 cells, were exposed for 24 hours to MTX concentrations that varied more than 700-fold (0.19-140 micro g/mL). Viable cells were counted on days 1, 3, 5, 7, 9, 11, 13, 15, 17, 20, 22, and 24 for Ehrlich ascites cells and on days 1, 2, 3, 5, 7, 9, 11, 13, 14, 15, 17, 19, and 21 for sarcoma 180 cells, through the use of a tetrazolium assay. Although MTX was removed 24 hours after application, cell numbers reached nadir values more than 100 hours after MTX exposure. Data from each cell line were fitted to 3 pharmacodynamic models of chemotherapeutic cell killing: a cell cycle phase-specific model, a phase-nonspecific model, and a transit compartment model (based on the general model recently reported by Mager and Jusko, Clin Pharmacol Ther. 70:210-216, 2001). The transit compartment model captured the data much more accurately than the standard pharmacodynamic models, with correlation coefficients ranging from 0.86 to 0.999. This report shows the successful application of a transit compartment model for characterization of the complex time course of chemotherapeutic effects; such models may be very useful in the development of optimization strategies for cancer chemotherapy.

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