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A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs

机译:表征ADC体内功效的细胞水平系统PK-PD模型

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Here, we have presented the development of a systems pharmacokinetics-pharmacodynamics (PK-PD) model for antibody-drug conjugates (ADCs), which uses intracellular target occupancy to drive in-vivo efficacy. The model is built based on PK and efficacy data generated using Trastuzumab-Valine-Citrulline-Monomethyl Auristatin E (T-vc-MMAE) ADC in N87 (high-HER2) and GFP-MCF7 (low-HER2) tumor bearing mice. It was observed that plasma PK of all ADC analytes was similar between the two tumor models; however, total trastuzumab, unconjugated MMAE, and total MMAE exposures were 10-fold, ~1.6-fold, and ~1.8-fold higher in N87 tumors. In addition, a prolonged retention of MMAE was observed within the tumors of both the mouse models, suggesting intracellular binding of MMAE to tubulin. A systems PK model, developed by integrating single-cell PK model with tumor distribution model, was able to capture all in vivo PK data reasonably well. Intracellular occupancy of tubulin predicted by the PK model was used to drive the efficacy of ADC using a novel PK-PD model. It was found that the same set of PD parameters was able to capture MMAE induced killing of GFP-MCF7 and N87 cells in vivo. These observations highlight the benefit of adopting a systems approach for ADC and provide a robust and predictive framework for successful clinical translation of ADCs.
机译:在这里,我们已经提出了抗体-药物偶联物(ADC)的系统药代动力学-药效学(PK-PD)模型的开发,该模型使用细胞内靶标占有率来驱动体内功效。该模型基于PK和使用曲妥珠单抗-缬氨酸-瓜氨酸-单甲基奥利他汀E(T-vc-MMAE)ADC在N87(高HER2)和GFP-MCF7(低HER2)荷瘤小鼠中产生的功效数据构建。观察到,两种肿瘤模型之间所有ADC分析物的血浆PK相似。然而,在N87肿瘤中,总曲妥珠单抗,未缀合的MMAE和总MMAE暴露分别高出10倍,〜1.6倍和〜1.8倍。此外,在两种小鼠模型的肿瘤中均观察到MMAE的保留时间延长,表明MMAE与微管蛋白的细胞内结合。通过将单细胞PK模型与肿瘤分布模型集成而开发的系统PK模型能够合理地捕获所有体内PK数据。由PK模型预测的微管蛋白的细胞内占有率被用于使用新型PK-PD模型来驱动ADC的功效。发现同一组PD参数能够捕获MMAE诱导的体内GFP-MCF7和N87细胞杀伤。这些观察结果凸显了采用ADC系统方法的好处,并为ADC的成功临床翻译提供了强大而可预测的框架。

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