Modeling of in vitro drug activity and prediction of clinical outcome in acute myeloid leukemia.

IF 2.3 4区 医学
Angelica Quartino, Mats O Karlsson, Agneta Freijs, Niclas Jonsson, Peter Nygren, Jörgen Kristensen, Elin Lindhagen, Rolf Larsson
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引用次数: 14

Abstract

The objectives of this study were to develop a population pharmacodynamic model describing the in vitro drug sensitivity of tumor cells and to relate in vitro parameters to clinical outcome. Cell samples from 179 patients with acute myelocytic leukemia were exposed to cytosine arabinoside and daunorubicin, and cytotoxicity was analyzed using the fluorometric microculture cytotoxicity assay. A sigmoid E(max)-model for daunorubicin and an E(max)-model for cytosine arabinoside described the data. The model predicted drug potency (EC(50)) adequately from 1 concentration measurement. A logistic regression on individual in vitro parameters of 46 patients treated with the daunorubicin plus cytosine arabinoside regimen showed that the probability of complete response was significantly (P < .05) related to the product of the E(max)/EC(50) ratio of the two drugs. The findings demonstrate the value of population pharmacodynamic modeling of in vitro drug sensitivity data and a significant relationship between the in vitro parameters and clinical outcome.

急性髓系白血病体外药物活性模型及临床预后预测。
本研究的目的是建立一个描述肿瘤细胞体外药物敏感性的群体药效学模型,并将体外参数与临床结果联系起来。对179例急性髓细胞性白血病患者的细胞样本分别暴露于阿糖胞嘧啶和柔红霉素中,采用荧光微培养细胞毒性试验分析细胞毒性。柔红霉素的s型E(max)模型和阿糖胞嘧啶的E(max)模型描述了这些数据。该模型从1次浓度测量中充分预测了药物效力(EC(50))。对46例柔红霉素联合阿糖胞嘧啶方案患者的个体体外指标进行logistic回归分析,发现完全缓解的概率与两种药物E(max)/EC(50)比值的乘积显著相关(P < 0.05)。研究结果证明了体外药敏数据的群体药效学建模的价值,以及体外参数与临床结果之间的显著关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Clinical Pharmacology
Journal of Clinical Pharmacology PHARMACOLOGY & PHARMACY-
自引率
3.40%
发文量
0
期刊介绍: The Journal of Clinical Pharmacology (JCP) is a Human Pharmacology journal designed to provide physicians, pharmacists, research scientists, regulatory scientists, drug developers and academic colleagues a forum to present research in all aspects of Clinical Pharmacology. This includes original research in pharmacokinetics, pharmacogenetics/pharmacogenomics, pharmacometrics, physiologic based pharmacokinetic modeling, drug interactions, therapeutic drug monitoring, regulatory sciences (including unique methods of data analysis), special population studies, drug development, pharmacovigilance, womens’ health, pediatric pharmacology, and pharmacodynamics. Additionally, JCP publishes review articles, commentaries and educational manuscripts. The Journal also serves as an instrument to disseminate Public Policy statements from the American College of Clinical Pharmacology.
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