Daiichi Sankyo, Inc, Basking Ridge, NJ, USA.
Cognigen Corporation, a Simulations Plus Company, Buffalo, NY, USA.
Cancer Chemother Pharmacol. 2021 Apr;87(4):513-523. doi: 10.1007/s00280-020-04204-y. Epub 2021 Jan 8.
This analysis evaluated the relationship between concentrations of quizartinib and its active metabolite AC886 and QT interval corrected using Fridericia's formula (QTcF) in patients with relapsed/refractory acute myeloid leukemia (AML) treated in the phase 3 QuANTUM-R study (NCT02039726).
The analysis dataset included 226 patients with AML. Quizartinib dihydrochloride was administered as daily doses of 20, 30, and 60 mg. Nonlinear mixed-effects modeling was performed using observed quizartinib and AC886 concentrations and time-matched mean electrocardiogram measurements.
Observed QTcF increased with quizartinib and AC886 concentrations; the relationship was best described by a nonlinear maximum effect (E) model. The predicted mean increase in QTcF at the maximum concentration of quizartinib and AC886 associated with 60 mg/day was 21.1 ms (90% CI, 18.3-23.6 ms). Age, body weight, sex, race, baseline QTcF, QT-prolonging drug use, hypomagnesemia, and hypocalcemia were not significant predictors of QTcF. Hypokalemia (serum potassium < 3.5 mmol/L) was a statistically significant covariate affecting baseline QTcF, but no differences in ∆QTcF (change in QTcF from baseline) were predicted between patients with versus without hypokalemia at the same quizartinib concentration. The use of concomitant QT-prolonging drugs did not increase QTcF further.
QTcF increase was dependent on quizartinib and AC886 concentrations, but patient factors, including sex and age, did not affect the concentration-QTcF relationship. Because concomitant strong cytochrome P450 3A (CYP3A) inhibitor use significantly increases quizartinib concentration, these results support the clinical recommendation of quizartinib dose reduction in patients concurrently receiving a strong CYP3A inhibitor.
NCT02039726 (registered January 20, 2014).
本分析评估了复发/难治性急性髓系白血病(AML)患者在 3 期 QuANTUM-R 研究(NCT02039726)中接受盐酸夸纳替尼治疗时,夸纳替尼及其活性代谢物 AC886 的浓度与采用 Fridericia 公式校正的 QT 间期(QTcF)之间的关系。
分析数据集包括 226 例 AML 患者。盐酸夸纳替尼的给药剂量为 20、30 和 60mg,每日一次。采用观察到的夸纳替尼和 AC886 浓度以及时间匹配的平均心电图测量值进行非线性混合效应模型建模。
观察到的 QTcF 随夸纳替尼和 AC886 浓度的增加而增加;该关系最好通过非线性最大效应(E)模型来描述。与每日 60mg 剂量相关的夸纳替尼和 AC886 最大浓度下预测的 QTcF 平均增加量为 21.1ms(90%CI,18.3-23.6ms)。年龄、体重、性别、种族、基线 QTcF、QT 延长药物的使用、低镁血症和低钙血症不是 QTcF 的显著预测因子。低钾血症(血清钾<3.5mmol/L)是影响基线 QTcF 的统计学上显著协变量,但在相同夸纳替尼浓度下,低钾血症与无低钾血症患者的 ∆QTcF(QTcF 从基线的变化)无差异预测。同时使用 QT 延长药物不会进一步增加 QTcF。
QTcF 的增加取决于夸纳替尼和 AC886 的浓度,但患者因素,包括性别和年龄,不影响浓度-QTcF 关系。由于同时使用强细胞色素 P450 3A(CYP3A)抑制剂会显著增加夸纳替尼的浓度,因此这些结果支持在同时接受强 CYP3A 抑制剂治疗的患者中减少夸纳替尼剂量的临床建议。
NCT02039726(2014 年 1 月 20 日注册)。