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米托坦药代动力学模型的建立:迈向肾上腺皮质癌的个体化给药

Development of a pharmacokinetic model of mitotane: toward personalized dosing in adrenocortical carcinoma.

作者信息

Kerkhofs Thomas M A, Derijks Luc J J, Ettaieb Hester, den Hartigh Jan, Neef Kees, Gelderblom Hans, Guchelaar Henk-Jan, Haak Harm R

机构信息

Departments of *Internal Medicine; †Clinical Pharmacology, Máxima Medical Center, Eindhoven; ‡Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center; §Department of Clinical Pharmacy and Toxicology; ¶CAPHRI, School for Public Health and Primary Care, Maastricht University Medical Center+; ‖Department of Clinical Oncology, Leiden University Medical Center; and **Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center+, the Netherlands.

出版信息

Ther Drug Monit. 2015 Feb;37(1):58-65. doi: 10.1097/FTD.0000000000000102.

Abstract

BACKGROUND

Mitotane is the drug of choice in medical treatment of adrenocortical carcinoma. The antineoplastic effect seems to be correlated with a minimum plasma level of 14 mg/L, but plasma concentration build-up is in general slow due to the long elimination half-life. Consequently, the therapeutic effect sets in after weeks or even months. The objective of this study was to develop a pharmacokinetic model that enables clinicians to adjust dosing based on a target drug exposure, which facilitates personalized therapy.

METHODS

Data on dosing and plasma level measurements performed throughout mitotane therapy were retrospectively collected in a population of 29 patients from 2 hospitals. A population pharmacokinetic model was constructed based on data from 20 patients using iterative 2-stage Bayesian fitting (MWPharm). The model was validated in an independent sample of 9 patients.

RESULTS

The concentration-time data were best described by a 3-compartment model. The model estimated mitotane clearance at 0.94 ± 0.37 L/h and a volume of distribution in the steady state at 161 ± 68 L/kg of lean body mass. The mean prediction error was 14% ± 13%.

CONCLUSIONS

A pharmacokinetic model was developed, which characterized mitotane by slow clearance and large volume of distribution. The model seems to be able to predict mitotane levels in individual patients with an error margin of 14%. The model enables one to adapt dosing based on individual plasma level measurements in prospective setting, which improves the accuracy of the prediction. We expect that individualization of mitotane dosing leads to anticipated and more rapid attainment of the therapeutic levels and potentially to improved clinical management of mitotane treatment.

摘要

背景

米托坦是肾上腺皮质癌药物治疗的首选药物。其抗肿瘤作用似乎与血浆最低水平14mg/L相关,但由于消除半衰期长,血浆浓度一般上升缓慢。因此,治疗效果在数周甚至数月后才显现。本研究的目的是建立一个药代动力学模型,使临床医生能够根据目标药物暴露量调整剂量,从而促进个性化治疗。

方法

回顾性收集了来自两家医院的29例患者在整个米托坦治疗过程中的给药和血浆水平测量数据。基于20例患者的数据,采用迭代两阶段贝叶斯拟合(MWPharm)构建群体药代动力学模型。该模型在9例独立样本患者中得到验证。

结果

浓度-时间数据用三室模型能得到最佳描述。该模型估计米托坦清除率为0.94±0.37L/h,稳态分布容积为每千克瘦体重161±68L。平均预测误差为14%±13%。

结论

建立了一个药代动力学模型,该模型显示米托坦清除缓慢、分布容积大。该模型似乎能够预测个体患者的米托坦水平,误差范围为14%。该模型能够在预期情况下根据个体血浆水平测量结果调整剂量,从而提高预测准确性。我们预计米托坦给药个体化将导致更快达到治疗水平,并可能改善米托坦治疗的临床管理。

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