首页> 美国卫生研究院文献>CPT: Pharmacometrics Systems Pharmacology >Bench‐to‐bedside translation of chimeric antigen receptor (CAR) T cells using a multiscale systems pharmacokinetic‐pharmacodynamic model: A case study with anti‐BCMA CAR‐T
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Bench‐to‐bedside translation of chimeric antigen receptor (CAR) T cells using a multiscale systems pharmacokinetic‐pharmacodynamic model: A case study with anti‐BCMA CAR‐T

机译:嵌合抗原受体(汽车)T细胞使用多尺度系统药代动力学 - 药物动力学模型的替补床旁平衡:抗BCMA CAR-T的案例研究

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摘要

Despite tremendous success of chimeric antigen receptor (CAR) T cell therapy in clinical oncology, the dose‐exposure‐response relationship of CAR‐T cells in patients is poorly understood. Moreover, the key drug‐specific and system‐specific determinants leading to favorable clinical outcomes are also unknown. Here we have developed a multiscale mechanistic pharmacokinetic (PK)‐pharmacodynamic (PD) model for anti‐B‐cell maturation antigen (BCMA) CAR‐T cell therapy (bb2121) to characterize (i) in vitro target cell killing in multiple BCMA expressing tumor cell lines at varying effector to target cell ratios, (ii) preclinical in vivo tumor growth inhibition and blood CAR‐T cell expansion in xenograft mice, and (iii) clinical PK and PD biomarkers in patients with multiple myeloma. Our translational PK‐PD relationship was able to effectively describe the commonly observed multiphasic CAR‐T cell PK profile in the clinic, consisting of the rapid distribution, expansion, contraction, and persistent phases, and accounted for the categorical individual responses in multiple myeloma to effectively calculate progression‐free survival rates. Preclinical and clinical data analysis revealed comparable parameter estimates pertaining to CAR‐T cell functionality and suggested that patient baseline tumor burden could be more sensitive than dose levels toward overall extent of exposure after CAR‐T cell infusion. Virtual patient simulations also suggested a very steep dose‐exposure‐response relationship with CAR‐T cell therapy and indicated the presence of a “threshold” dose, beyond which a flat dose‐response curve could be observed. Our simulations were concordant with multiple clinical observations discussed in this article. Moving forward, this framework could be leveraged a priori to explore multiple infusions and support the preclinical/clinical development of future CAR‐T cell therapies.
机译:尽管嵌合抗原受体(汽车)T细胞疗法在临床肿瘤学中巨大成功,但患者Car-T细胞的剂量曝光 - 响应关系很差。此外,导致有利的临床结果的关键药物特异性和系统特异性决定因素也是未知的。在这里,我们开发了一种多尺度机械药代动力学(PK) - 药物动力学(PK)-Pharmacogynamic(PD)模型,用于抗B细胞成熟抗原(BCMA)Car-T细胞疗法(BB2121),以表征(I)在多种BCMA表达中的体外靶细胞杀死在不同效应子下以不同效应的肿瘤细胞系,(II)在异种移植小鼠中的体内肿瘤生长抑制和血尸体抑制和血尸体细胞膨胀,(III)多发性骨髓瘤患者的临床PK和PD生物标志物。我们的翻译PK-PD关系能够有效地描述临床中的常见的多相Car-T细胞PK型材,包括快速分布,膨胀,收缩和持续阶段,并占多种骨髓瘤中的分类个体反应有效地计算无进展的存活率。临床前和临床数据分析揭示了与Car-T细胞功能有关的相当参数估计,并表明患者基线肿瘤负担可能比在Car-T细胞输注后朝向整体暴露程度的剂量水平更敏感。虚拟患者模拟还提出了与Car-T细胞疗法非常陡峭的剂量 - 暴露 - 反应关系,并表明存在“阈值”剂量,超出该脉冲剂量响应曲线的存在。我们的模拟伴随着本文中讨论的多种临床观察结果。向前迈进,该框架可以利用先验探索多次输注,并支持未来汽车-T细胞疗法的临床前/临床开发。

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