Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Leiden Network for Personalized Therapeutics, Leiden University Medical Center, Leiden, The Netherlands.
Clin Pharmacokinet. 2021 Jan;60(1):89-102. doi: 10.1007/s40262-020-00913-y.
Mitotane is the only approved treatment for patients with adrenocortical carcinoma (ACC). A better explanation for the variability in the pharmacokinetics (PK) of mitotane, and the optimization and individualization of mitotane treatment, is desirable for patients.
This study aims to develop a population PK (PopPK) model to characterize and predict the PK profiles of mitotane in patients with ACC, as well as to explore the effect of genetic variation on mitotane clearance. Ultimately, we aimed to facilitate mitotane dose optimization and individualization for patients with ACC.
Mitotane concentration and dosing data were collected retrospectively from the medical records of patients with ACC taking mitotane orally and participating in the Dutch Adrenal Network. PopPK modelling analysis was performed using NONMEM (version 7.4.1). Genotypes of drug enzymes and transporters, patient demographic information, and clinical characteristics were investigated as covariates. Subsequently, simulations were performed for optimizing treatment regimens.
A two-compartment model with first-order absorption and elimination best described the PK data of mitotane collected from 48 patients. Lean body weight (LBW) and genotypes of CYP2C19*2 (rs4244285), SLCO1B3 699A>G (rs7311358) and SLCO1B1 571T>C (rs4149057) were found to significantly affect mitotane clearance (CL/F), which decreased the coefficient of variation (CV%) of the random inter-individual variability of CL/F from 67.0 to 43.0%. Fat amount (i.e. body weight - LBW) was found to significantly affect the central distribution volume. Simulation results indicated that determining the starting dose using the developed model is beneficial in terms of shortening the period to reach the therapeutic target and limit the risk of toxicity. A regimen that can effectively maintain mitotane concentration within 14-20 mg/L was established.
A two-compartment PopPK model well-characterized mitotane PK profiles in patients with ACC. The CYP2C19 enzyme and SLCO1B1 and SLCO1B3 transporters may play roles in mitotane disposition. The developed model is beneficial in terms of optimizing mitotane treatment schedules and individualizing the initial dose for patients with ACC. Further validation of these findings is still required.
米托坦是治疗肾上腺皮质癌(ACC)患者的唯一批准疗法。对于患者而言,更好地解释米托坦的药代动力学(PK)变异性,并优化和个体化米托坦治疗,是非常必要的。
本研究旨在建立一个群体 PK(PopPK)模型,以描述和预测 ACC 患者米托坦的 PK 特征,并探索遗传变异对米托坦清除率的影响。最终,我们旨在为 ACC 患者优化米托坦剂量和个体化治疗。
从接受米托坦口服治疗并参与荷兰肾上腺网络的 ACC 患者的病历中回顾性收集米托坦浓度和剂量数据。使用 NONMEM(版本 7.4.1)进行 PopPK 建模分析。药物酶和转运体的基因型、患者人口统计学信息和临床特征被视为协变量进行考察。随后,进行模拟以优化治疗方案。
采用具有一级吸收和消除的两室模型来描述从 48 名患者中收集的米托坦 PK 数据。瘦体重(LBW)和 CYP2C19*2(rs4244285)、SLCO1B3 699A>G(rs7311358)和 SLCO1B1 571T>C(rs4149057)的基因型被发现显著影响米托坦清除率(CL/F),这将 CL/F 的个体间随机变异性的变异系数(CV%)从 67.0%降低至 43.0%。脂肪量(即体重-LBW)被发现显著影响中央分布容积。模拟结果表明,使用所开发的模型确定起始剂量有利于缩短达到治疗目标的时间,并降低毒性风险。建立了一种可以有效维持米托坦浓度在 14-20mg/L 范围内的方案。
建立的两室 PopPK 模型很好地描述了 ACC 患者米托坦的 PK 特征。CYP2C19 酶和 SLCO1B1 和 SLCO1B3 转运体可能在米托坦处置中发挥作用。所开发的模型有利于优化米托坦治疗方案和个体化 ACC 患者的初始剂量。仍需要进一步验证这些发现。