Concentration-QTcF analysis of quizartinib in patients with newly diagnosed FLT3-internal-tandem-duplication-positive acute myeloid leukemia

IF 3.1 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Pavan Vaddady, Giovanni Smania, Shintaro Nakayama, Hiroyuki Inoue, Abhinav Kurumaddali, Malaz Abutarif, Ming Zheng
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引用次数: 0

Abstract

Quizartinib prolongs QT interval through inhibition of the slow delayed rectifier potassium current (IKs). We used non-linear mixed-effects modeling to explore the relationship between quizartinib and its pharmacologically active metabolite AC886 and the Fridericia-corrected QT interval (QTcF) in newly diagnosed acute myeloid leukemia (AML) patients. We evaluated linear and non-linear drug effect models, using triplicate QTcF measurements with available time-matched pharmacokinetic samples from the Phase 3 QuANTUM-First trial. The effect of intrinsic and extrinsic factors on model parameters was tested using stepwise covariate model building. Simulations were conducted to predict the change from baseline in QTcF (ΔQTcF) at the maximum concentration at steady-state (Cmax,ss) for quizartinib maintenance daily doses of 30 and 60 mg. The concentration-QTcF (C-QTcF) relationship was best described by a sigmoidal maximum effect model. After accounting for the effect of quizartinib, including AC886 concentrations did not further explain changes in QTcF. Circadian variations in QTcF were described using an empirical change from baseline based on clock times. Age and hypokalaemia were identified as statistically significant covariates on baseline QTcF; no covariates were found to impact the C-QTcF relationship. The median model-predicted ΔQTcF at Cmax,ss was 18.4 ms (90% confidence interval (CI): 16.3–20.5) at 30 mg and 24.1 ms (90% CI: 21.4–26.6) at 60 mg. In conclusion, in newly diagnosed AML patients, ΔQTcF increased non-linearly with increasing quizartinib concentrations. The predicted ΔQTcF increase at Cmax,ss supports the proposed dose adaptation based on observed QTcF and the dose reduction in case of strong cytochrome P450 3A (CYP3A) inhibitors coadministration.

Abstract Image

奎沙替尼在新诊断的FLT3-内部串联重复阳性急性髓性白血病患者中的浓度-QTcF分析。
喹沙替尼通过抑制慢速延迟整流钾电流(IKs)延长QT间期。我们使用非线性混合效应模型来探讨喹沙替尼及其药理活性代谢物 AC886 与新诊断的急性髓性白血病(AML)患者的弗里德里希亚校正 QT 间期(QTcF)之间的关系。我们评估了线性和非线性药物效应模型,使用的是三联 QTcF 测量值和来自 QuANTUM-First 3 期试验的时间匹配药代动力学样本。通过逐步建立协变量模型,测试了内在和外在因素对模型参数的影响。模拟预测了奎沙替尼每日维持剂量为30毫克和60毫克时,稳态最大浓度(Cmax,ss)下的QTcF(ΔQTcF)与基线相比的变化。浓度-QTcF(C-QTcF)的关系用曲线最大效应模型来描述最为恰当。考虑到奎沙替尼的影响后,AC886的浓度并不能进一步解释QTcF的变化。QTcF的昼夜变化用基于时钟时间的基线经验变化来描述。年龄和低钾血症被确定为对基线 QTcF 有统计学意义的协变量;没有发现协变量会影响 C-QTcF 关系。模型预测的ΔQTcF在Cmax,ss时的中位数为:30毫克时18.4毫秒(90%置信区间(CI):16.3-20.5),60毫克时24.1毫秒(90%置信区间(CI):21.4-26.6)。总之,在新诊断的急性髓细胞性白血病患者中,ΔQTcF随着奎沙替尼浓度的增加而非线性增加。Cmax,ss时预测的ΔQTcF升高支持根据观察到的QTcF进行剂量调整的建议,以及在同时服用强细胞色素P450 3A(CYP3A)抑制剂的情况下减少剂量的建议。
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来源期刊
Cts-Clinical and Translational Science
Cts-Clinical and Translational Science 医学-医学:研究与实验
CiteScore
6.70
自引率
2.60%
发文量
234
审稿时长
6-12 weeks
期刊介绍: Clinical and Translational Science (CTS), an official journal of the American Society for Clinical Pharmacology and Therapeutics, highlights original translational medicine research that helps bridge laboratory discoveries with the diagnosis and treatment of human disease. Translational medicine is a multi-faceted discipline with a focus on translational therapeutics. In a broad sense, translational medicine bridges across the discovery, development, regulation, and utilization spectrum. Research may appear as Full Articles, Brief Reports, Commentaries, Phase Forwards (clinical trials), Reviews, or Tutorials. CTS also includes invited didactic content that covers the connections between clinical pharmacology and translational medicine. Best-in-class methodologies and best practices are also welcomed as Tutorials. These additional features provide context for research articles and facilitate understanding for a wide array of individuals interested in clinical and translational science. CTS welcomes high quality, scientifically sound, original manuscripts focused on clinical pharmacology and translational science, including animal, in vitro, in silico, and clinical studies supporting the breadth of drug discovery, development, regulation and clinical use of both traditional drugs and innovative modalities.
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