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生物还原烷基化药物EO9的I期药代动力学及有限采样策略。欧洲癌症研究与治疗组织早期临床试验组

Phase I pharmacokinetics and limited sampling strategies for the bioreductive alkylating drug EO9. EORTC Early Clinical Trials Group.

作者信息

McLeod H L, Graham M A, Aamdal S, Setanoians A, Groot Y, Lund B

机构信息

CRC Department of Medical Oncology, University of Glasgow, U.K.

出版信息

Eur J Cancer. 1996 Aug;32A(9):1518-22. doi: 10.1016/0959-8049(96)00120-7.

Abstract

EO9 is a synthetic indoloquinone which was designed to undergo redox cycling and formation of alkylating intermediates under bioreductive conditions. As part of a phase I clinical trial, EO9 plasma disposition was evaluated in 20 patients receiving 2.7-15 mg/m2i.v. weekly for 3 weeks. Pharmacokinetic studies were performed with the first and third dose of therapy and nine blood samples were obtained over 30 min postinfusion. Plasma EO9 was detected using HPLC UV and the disposition described by a two-compartment model. Wide variability in EO9 pharmacokinetics was observed. EO9 was rapidly eliminated from plasma with a median systemic clearance of 3.5 l/min/m2 (range 1.2-9.8), apparent volume of distribution of 6.2 l/m2 (1.0-34.9) and t 1/2 beta of 10.1 min (2.2-63.0). Substantial intrapatient variability was observed for all pharmacokinetic parameters. Linear regression and Bayesian methods were developed and validated for estimation of EO9 plasma AUC using up to three samples postinfusion. The use of two or three plasma samples provided precise estimation with acceptable prediction bias. In addition, a Bayesian algorithm offered more robust estimation of AUC and is preferable to linear regression models for future EO9 population pharmacokinetic analysis.

摘要

EO9是一种合成吲哚醌,其设计目的是在生物还原条件下进行氧化还原循环并形成烷基化中间体。作为I期临床试验的一部分,对20名接受2.7 - 15mg/m²静脉注射、每周一次、共3周的患者进行了EO9的血浆处置评估。在首次和第三次治疗剂量时进行了药代动力学研究,并在输注后30分钟内采集了9份血样。使用高效液相色谱紫外检测法检测血浆中的EO9,并采用二室模型描述其处置情况。观察到EO9药代动力学存在很大差异。EO9从血浆中迅速消除,中位全身清除率为3.5 l/min/m²(范围1.2 - 9.8),表观分布容积为6.2 l/m²(1.0 - 34.9),β半衰期为10.1分钟(2.2 - 63.0)。所有药代动力学参数在患者内均存在显著差异。开发并验证了线性回归和贝叶斯方法,用于使用输注后最多三个样本估计EO9血浆AUC。使用两个或三个血浆样本可提供精确估计,且预测偏差可接受。此外,贝叶斯算法对AUC的估计更稳健,在未来EO9群体药代动力学分析中比线性回归模型更可取。

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