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High-Throughput Multispecies Parallelized PlasmaStability Assay for the Determination and Characterization of Antibody–DrugConjugate Aggregation andDrug Release

机译:高通量多物种平行血浆抗体-药物测定和表征的稳定性测定共轭聚合和药物释放

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摘要

The stability of antibody–drug conjugates (ADCs) in circulation is critical for maximum efficacy and minimal toxicity. An ADC reaching the intended target intact can deliver the highest possible drug load to the tumor and reduce off-target toxicity from free drug in the blood. As such, assessment of ADC stability is a vital piece of data during development. However, traditional ADC stability assays can be manually intensive, low-throughput, and require large quantities of ADC material. Here, we introduce an automated, high-throughput plasma stability assay for screening drug release and aggregation over 144 h for up to 40 ADCs across five matrices simultaneously. The amount of ADC material during early drug development is often limited, so this assay was implemented in 384-well format to minimize material requirements to <100 μg of each ADC and 100 μL of plasma per species type. Drug release and aggregation output were modeled using nonlinear regression equations to calculate formation rates for each data type. A set of 15 ADCs with different antibodiesand identical valine–citrulline–p-aminobenzylcarbamate–monomethylauristatinE linker-drug payloads was tested and formation rates were comparedacross ADCs and between species, revealing several noteworthy trends.In particular, a wide range in aggregation was found when alteringonly the antibody, suggesting a key role for plasma stability screeningearly in the development process to find and remove antibody candidateswith the potential to create unstable ADCs. The assay presented herecan be leveraged to provide stability data on new chemistry and antibodyscreening initiatives, select the best candidate for in vivo studies,and provide results that highlight stability issues inherent to particularADC designs throughout all stages of ADC development.
机译:抗体-药物偶联物(ADC)在循环中的稳定性对于最大功效和最小毒性至关重要。完整地达到预期目标的ADC可以将最大可能的药物负荷传递给肿瘤,并减少血液中游离药物引起的脱靶毒性。因此,在开发过程中,评估ADC稳定性是至关重要的数据。但是,传统的ADC稳定性测定可能需要人工密集,低通量,并且需要大量ADC材料。在这里,我们介绍了一种自动化的高通量血浆稳定性测定法,用于在144小时内同时筛选五个基质中多达40个ADC的药物释放和聚集。在早期药物开发过程中,ADC材料的数量通常受到限制,因此该分析以384孔格式实施,以将每种ADC的材料要求降至<100μg,每种物种的血浆要求降至100μL。使用非线性回归方程对药物释放和聚集输出进行建模,以计算每种数据类型的形成率。一组具有不同抗体的15个ADC和相同的缬氨酸-瓜氨酸-对氨基苄基氨基甲酸酯-单甲基auristatin测试了E链接药物的有效载荷并比较了形成速率ADC之间以及物种之间的差异,揭示了几个值得注意的趋势。特别是,在更改时发现了广泛的聚集仅抗体,提示血浆稳定性筛选的关键作用在开发过程的早期,查找并删除候选抗体有可能产生不稳定的ADC。此处介绍的测定可用于提供有关新化学和抗体的稳定性数据筛选计划,选择体内研究的最佳人选,并提供强调特定产品固有的稳定性问题的结果ADC设计贯穿ADC开发的所有阶段。

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