Joost DeJongh, Elaine Cadogan, Michael Davies, Antonio Ramos-Montoya, Aaron Smith, Tamara van Steeg, Ryan Richards
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Model parameters were fitted to training data sets that contained continuous treatment of either monotherapy or the combination. The observed interaction of AZD7648 on olaparib PK was incorporated in the PK-PD model by an effect function specific for each of the drug's MoA and was found essential to quantify drug effects at high dose levels of combination treatments. The model was able to adequately describe the observed efficacy for both monotherapy and sustained regressions in combination groups, mainly driven by maintaining a > 2:1 AUC ratio of apoptotic:proliferating cell fractions. We found that this model was suitable for forecasting intermittent dosing schedules a priori and resulted in accurate predictions when compared to xenograft efficacy data, without the need for extra, descriptive terms to describe supra-additive effects under combined dose regimes. 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引用次数: 0
摘要
AZD7648是DNA依赖性蛋白激酶(DNA- pk)的有效抑制剂,DNA- pk是非同源末端连接DNA修复途径的一部分。当与PARP抑制剂olaparib联合使用时,AZD7648在临床前的atm敲除小鼠异种移植模型中显示出强大的联合活性。为了了解AZD7648和奥拉帕尼的联合活性,我们建立了一个半机械药代动力学/药理学(PK-PD)模型,该模型结合了每种药物与增殖、静止和死亡细胞状态相关的作用机制,并添加了一个附加的Allee效应项,以解释在低细胞密度下观察到的非线性生长和回归。模型参数拟合到包含单药或联合治疗的连续治疗的训练数据集。观察到的AZD7648与奥拉帕尼PK的相互作用通过针对药物的每个MoA的效应函数纳入了PK- pd模型,并且被发现对于量化高剂量联合治疗下的药物效应至关重要。该模型能够充分描述观察到的单药治疗和联合治疗组持续退化的疗效,主要是由维持> 2:1的凋亡:增殖细胞分数的AUC比驱动的。我们发现,该模型适用于预测间歇性给药方案的先验结果,与异种移植物疗效数据相比,该模型的预测结果准确,而不需要额外的描述性术语来描述联合给药方案下的超可加性效应。该模型提供了对AZD7648与奥拉帕尼联合作用的定量认识,并允许在不需要对所有场景进行实验测试的情况下探索全暴露景观。此外,该模型可以通过将其与观察到的或预测的人类PK暴露联系起来,用于评估临床中需要哪些暴露。该模型提示,在不使用AZD7648的情况下,64.9 uM奥拉帕尼足以达到肿瘤停滞的效果,而AZD7648与奥拉帕尼联合使用时,稳态血浆浓度仅为20.2 uM AZD7648和19.9 uM奥拉帕尼即可达到相同的效果。
Defining preclinical efficacy with the DNAPK inhibitor AZD7648 in combination with olaparib: a minimal systems pharmacokinetic-pharmacodynamic model.
AZD7648 is a potent inhibitor of DNA-dependent protein kinase (DNA-PK), which is part of the non-homologous end-joining DNA repair pathway. When combined with the PARP inhibitor olaparib, AZD7648 shows robust combination activity in pre-clinical ATM-knockout mouse xenograft models. To understand the combination activity of AZD7648 and olaparib, we developed a semi-mechanistic pharmacokinetic/pharmacodynamic (PK-PD) model that incorporates the mechanism of action for each drug which links to proliferating, quiescent, and dying cell states with an additional Allee effect-like term to account for the non-linear growth and regression observed at low cell densities. Model parameters were fitted to training data sets that contained continuous treatment of either monotherapy or the combination. The observed interaction of AZD7648 on olaparib PK was incorporated in the PK-PD model by an effect function specific for each of the drug's MoA and was found essential to quantify drug effects at high dose levels of combination treatments. The model was able to adequately describe the observed efficacy for both monotherapy and sustained regressions in combination groups, mainly driven by maintaining a > 2:1 AUC ratio of apoptotic:proliferating cell fractions. We found that this model was suitable for forecasting intermittent dosing schedules a priori and resulted in accurate predictions when compared to xenograft efficacy data, without the need for extra, descriptive terms to describe supra-additive effects under combined dose regimes. This model provides quantitative understanding on the combination effect of AZD7648 and olaparib and allows for the exploration of the full exposure landscape without the need to experimentally test all scenarios. Furthermore, the model can be utilized to assess what exposures would be necessary in the clinic by linking it to observed or predicted human PK exposures. The model suggests 64.9 uM olaparib is sufficient to achieve tumor stasis in the absence of AZD7648, while the combination of AZD7648 and olaparib only requires plasma concentrations of 20.2 uM AZD7648 and 19.9 uM olaparib at steady-state to achieve the same effect.
期刊介绍:
Broadly speaking, the Journal of Pharmacokinetics and Pharmacodynamics covers the area of pharmacometrics. The journal is devoted to illustrating the importance of pharmacokinetics, pharmacodynamics, and pharmacometrics in drug development, clinical care, and the understanding of drug action. The journal publishes on a variety of topics related to pharmacometrics, including, but not limited to, clinical, experimental, and theoretical papers examining the kinetics of drug disposition and effects of drug action in humans, animals, in vitro, or in silico; modeling and simulation methodology, including optimal design; precision medicine; systems pharmacology; and mathematical pharmacology (including computational biology, bioengineering, and biophysics related to pharmacology, pharmacokinetics, orpharmacodynamics). Clinical papers that include population pharmacokinetic-pharmacodynamic relationships are welcome. The journal actively invites and promotes up-and-coming areas of pharmacometric research, such as real-world evidence, quality of life analyses, and artificial intelligence. The Journal of Pharmacokinetics and Pharmacodynamics is an official journal of the International Society of Pharmacometrics.