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基于机制的THIOMAB™药物偶联物药代动力学/药效学模型。

Mechanism-Based Pharmacokinetic/Pharmacodynamic Model for THIOMAB™ Drug Conjugates.

作者信息

Sukumaran Siddharth, Gadkar Kapil, Zhang Crystal, Bhakta Sunil, Liu Luna, Xu Keyang, Raab Helga, Yu Shang-Fan, Mai Elaine, Fourie-O'Donohue Aimee, Kozak Katherine R, Ramanujan Saroja, Junutula Jagath R, Lin Kedan

机构信息

Genentech Research and Early Development, 1 DNA Way, South San Francisco, California, 94080, USA.

出版信息

Pharm Res. 2015 Jun;32(6):1884-93. doi: 10.1007/s11095-014-1582-1. Epub 2014 Dec 2.

DOI:10.1007/s11095-014-1582-1
PMID:25446772
Abstract

PURPOSE

THIOMAB™ drug conjugates (TDCs) with engineered cysteine residues allow site-specific drug conjugation and defined Drug-to-Antibody Ratios (DAR). In order to help elucidate the impact of drug-loading, conjugation site, and subsequent deconjugation on pharmacokinetics and efficacy, we have developed an integrated mathematical model to mechanistically characterize pharmacokinetic behavior and preclinical efficacy of MMAE conjugated TDCs with different DARs. General applicability of the model structure was evaluated with two different TDCs.

METHOD

Pharmacokinetics studies were conducted for unconjugated antibody and purified TDCs with DAR-1, 2 and 4 for trastuzumab TDC and Anti-STEAP1 TDC in mice. Total antibody concentrations and individual DAR fractions were measured. Efficacy studies were performed in tumor-bearing mice.

RESULTS

An integrated model consisting of distinct DAR species (DAR0-4), each described by a two-compartment model was able to capture the experimental data well. Time series measurements of each Individual DAR species allowed for the incorporation of site-specific drug loss through deconjugation and the results suggest a higher deconjugation rate from heavy chain site HC-A114C than the light chain site LC-V205C. Total antibody concentrations showed multi-exponential decline, with a higher clearance associated with higher DAR species. The experimentally observed effects of TDC on tumor growth kinetics were successfully described by linking pharmacokinetic profiles to DAR-dependent killing of tumor cells.

CONCLUSION

Results from the integrated model evaluated with two different TDCs highlight the impact of DAR and site of conjugation on pharmacokinetics and efficacy. The model can be used to guide future drug optimization and in-vivo studies.

摘要

目的

具有工程化半胱氨酸残基的硫醇抗体(THIOMAB™)药物偶联物(TDC)可实现位点特异性药物偶联并确定药物与抗体比率(DAR)。为了帮助阐明药物负载、偶联位点以及随后的去偶联对药代动力学和疗效的影响,我们开发了一个综合数学模型,以从机制上表征不同DAR的MMAE偶联TDC的药代动力学行为和临床前疗效。使用两种不同的TDC评估了模型结构的一般适用性。

方法

对未偶联的抗体以及曲妥珠单抗TDC和抗STEAP1 TDC的DAR为1、2和4的纯化TDC在小鼠中进行药代动力学研究。测量总抗体浓度和各个DAR组分。在荷瘤小鼠中进行疗效研究。

结果

一个由不同DAR种类(DAR0 - 4)组成的综合模型,每个种类由一个双室模型描述,能够很好地拟合实验数据。对每个单独DAR种类的时间序列测量允许纳入通过去偶联导致的位点特异性药物损失,结果表明重链位点HC - A114C的去偶联率高于轻链位点LC - V205C。总抗体浓度呈多指数下降,清除率与较高的DAR种类相关。通过将药代动力学曲线与DAR依赖性肿瘤细胞杀伤联系起来,成功描述了TDC对肿瘤生长动力学的实验观察效应。

结论

用两种不同TDC评估的综合模型结果突出了DAR和偶联位点对药代动力学和疗效的影响。该模型可用于指导未来的药物优化和体内研究。

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