Investigating the Influence of Covariates on Axicabtagene Ciloleucel (axi-cel) Kinetics in Patients with Non-Hodgkin's Lymphoma.

IF 4.6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Magali Chartier, Simone Filosto, Thomas Peyret, Manoj Chiney, Francesca Milletti, Justin Budka, Andre Ndi, Jinghui Dong, Saran Vardhanabhuti, Daqin Mao, Stephen Duffull, Michael Dodds, Rhine Shen
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引用次数: 0

Abstract

Background and objective: Axicabtagene ciloleucel (axi-cel, Yescarta) is an autologous, anti-CD19, chimeric antigen receptor (CAR) T-cell therapy approved for patients with relapsed and refractory non-Hodgkin's lymphoma. Substantial inter-individual variability in cellular kinetics has been observed with CAR-T therapies and factors impacting CAR-T cellular kinetics remain poorly understood. This work reports a population cellular kinetic model of axi-cel in relapsed and patients with refractory non-Hodgkin's lymphoma and investigated the impact of covariates on early and late kinetic phases of CAR-T exposure.

Methods: A population cellular kinetic model (NONMEM® version 7.4) for axi-cel was developed using data from 410 patients (2050 transgene observations) after a single intravenous infusion of 2 × 106 anti-CD19 CAR+ T cells/kg in patients with non-Hodgkin's lymphoma (ZUMA-1, ZUMA-5, and ZUMA-7 clinical studies). A large panel of covariates was assessed to decipher the variability of CAR-T cell kinetics including patient characteristics, product characteristics, and disease types.

Results: Axi-cel cellular kinetics were well described by a piecewise model of cellular growth kinetics characterized by an exponential growth phase followed by a triphasic decline phase including a long-term persistence phase. The final cellular kinetic model retained in vitro doubling time during CAR-T cell manufacturing and total number of T cells infused as covariates impacting the duration of the growth phase, which, however, did not substantially influence maximum concentration, area under the concentration-time curve over the first 28 days, or long-term persistence. A statistically significant relationship was observed between maximum concentration and the probability to receive tocilizumab and/or corticosteroids.

Conclusions: No covariates considered in this study were found to significantly and substantially predict the exposure profile of axi-cel. Tocilizumab and steroid use were related to maximum concentration, but they were used reactively to treat toxicities that are associated with a higher maximum concentration. Further CAR-T kinetic analyses should consider additional factors to explain the observed variability in cellular kinetics or help establish a dose-exposure relationship.

Clinical trial registration: NCT02348216 (ZUMA-1), NCT03105336 (ZUMA-5), and NCT03391466 (ZUMA-7).

Abstract Image

研究变量对非霍奇金淋巴瘤患者Axicabtagene Ciloleucel (axi-cel)动力学的影响
背景和目的:Axicabtagene ciloleucel(axi-cel,Yescarta)是一种自体抗 CD19 嵌合抗原受体(CAR)T 细胞疗法,已被批准用于治疗复发和难治性非霍奇金淋巴瘤患者。CAR-T疗法的细胞动力学存在很大的个体差异,而影响CAR-T细胞动力学的因素仍然鲜为人知。这项工作报告了复发和难治性非霍奇金淋巴瘤患者中axi-cel的群体细胞动力学模型,并研究了协变量对CAR-T暴露早期和晚期动力学阶段的影响:利用非霍奇金淋巴瘤患者单次静脉输注2×106个抗CD19 CAR+T细胞/千克(ZUMA-1、ZUMA-5和ZUMA-7临床研究)后410名患者(2050次转基因观察)的数据,建立了axi-cel的群体细胞动力学模型(NONMEM® 7.4版)。为了解读CAR-T细胞动力学的变异性,我们评估了大量协变量,包括患者特征、产品特征和疾病类型:结果:细胞生长动力学的片断模型很好地描述了Axi-cel的细胞动力学,该模型的特点是指数生长阶段,随后是三相衰退阶段,包括长期持续阶段。最终的细胞动力学模型保留了 CAR-T 细胞制造过程中的体外倍增时间和输注的 T 细胞总数作为影响生长阶段持续时间的协变量,但它们对最大浓度、前 28 天的浓度-时间曲线下面积或长期持续性没有实质性影响。最大浓度与接受托西珠单抗和/或皮质类固醇激素的概率之间存在统计学意义上的重要关系:结论:本研究中没有发现任何协变量可显著、实质性地预测axi-cel的暴露概况。Tocilizumab和类固醇的使用与最大浓度有关,但它们被反应性地用于治疗与更高的最大浓度有关的毒性。进一步的CAR-T动力学分析应考虑更多因素,以解释观察到的细胞动力学变异或帮助建立剂量-暴露关系:临床试验注册:NCT02348216(ZUMA-1)、NCT03105336(ZUMA-5)和NCT03391466(ZUMA-7)。
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来源期刊
CiteScore
8.80
自引率
4.40%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Clinical Pharmacokinetics promotes the continuing development of clinical pharmacokinetics and pharmacodynamics for the improvement of drug therapy, and for furthering postgraduate education in clinical pharmacology and therapeutics. Pharmacokinetics, the study of drug disposition in the body, is an integral part of drug development and rational use. Knowledge and application of pharmacokinetic principles leads to accelerated drug development, cost effective drug use and a reduced frequency of adverse effects and drug interactions.
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