Schellens J H, Dombernowsky P, Cassidy J, Epelbaum R, Dirix L, Cox E H, Wanders J, Calabresi F, Paridaens R, Monfardini S, Wolff J, Loos W J, Verweij J, Pavlidis N, Hanauske A R
The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Anticancer Drugs. 2001 Aug;12(7):583-90. doi: 10.1097/00001813-200108000-00004.
Population pharmacokinetic-dynamic analysis was prospectively integrated in the clinical phase II programme of EO9 to determine the population pharmacokinetic profile in a larger population of patients, to estimate individual patient pharmacokinetic parameters, and to investigate relationships between drug exposure and clinical outcome. A sparse sampling method was developed, which involved three sampling times, and was implemented during course 1. A Bayesian algorithm was used to estimate individual pharmacokinetic parameters, in particular total plasma clearance (CL) of EO9 and area under the curve (AUC). In total, samples were collected of 85 (65%) of the patients. Pharmacokinetic evaluation was successful in 61 (72%) of the sampled patients. CL of EO9 showed substantial variability (median 5.08 l/min; range 2.67-6.42) and was of the same magnitude as in the phase I study where full pharmacokinetic profiles were used. No significant relationships were noticed between exposure parameters and safety, but overall limited toxicity was observed. No tumor responses were documented. Prospective implementation of large-scale population pharmacokinetic-dynamic analysis is feasible and may generate important findings, in particular when tumor responses and relevant toxicity are observed.
群体药代动力学-药效学分析被前瞻性地纳入EO9的临床II期试验项目中,以确定更大患者群体的群体药代动力学特征,估计个体患者的药代动力学参数,并研究药物暴露与临床结果之间的关系。开发了一种稀疏采样方法,该方法涉及三个采样时间点,并在疗程1期间实施。采用贝叶斯算法估计个体药代动力学参数,特别是EO9的总血浆清除率(CL)和曲线下面积(AUC)。总共收集了85名(65%)患者的样本。61名(72%)采样患者的药代动力学评估成功。EO9的CL显示出很大的变异性(中位数5.08 l/min;范围2.67 - 6.42),与使用完整药代动力学特征的I期研究中的变异性幅度相同。未发现暴露参数与安全性之间存在显著关系,但观察到总体毒性有限。未记录到肿瘤反应。大规模群体药代动力学-药效学分析的前瞻性实施是可行的,并且可能产生重要发现,特别是在观察到肿瘤反应和相关毒性时。