Literature DB >> 28821484

Measurement and Mathematical Characterization of Cell-Level Pharmacokinetics of Antibody-Drug Conjugates: A Case Study with Trastuzumab-vc-MMAE.

Aman P Singh1, Dhaval K Shah2.   

Abstract

The main objective of this work was to understand and mathematically characterize the cellular disposition of a tool antibody-drug conjugate (ADC), trastuzumab-valine-citrulline-monomethyl auristatin E (T-vc-MMAE). Toward this goal, three different analytical methods were developed to measure the concentrations of different ADC-related analytes in the media and cell lysate. A liquid chromatography-tandem mass spectrometry method was developed to quantify unconjugated drug (i.e., MMAE) concentrations, a forced deconjugation method was developed to quantify total drug concentrations, and an enzyme-linked immunosorbent assay method was developed to quantify total antibody (i.e., trastuzumab) concentrations. Cellular disposition studies were conducted in low-HER2-(GFP-MCF7) and high-HER2-expressing (N87) cell lines, following continuous or 2-hour exposure to MMAE and T-vc-MMAE. Similar intracellular accumulation of MMAE was observed between two cell lines following incubation with plain MMAE. However, when incubated with T-vc-MMAE, much higher intracellular exposures of unconjugated drug, total drug, and total antibody were observed in N87 cells compared with GFP-MCF7 cells. A novel single-cell disposition model was developed to simultaneously characterize in vitro pharmacokinetics of all three analytes of the ADC in the media and cellular space. The model was able to characterize all the data well and provided robust estimates of MMAE influx rate, MMAE efflux rate, and intracellular degradation rate for T-vc-MMAE. ADC internalization and degradation rates, HER2 expression, and MMAE efflux rate were found to be the key parameters responsible for intracellular exposure to MMAE, on the basis of a global sensitivity analysis. The single-cell pharmacokinetics model for ADCs presented here is expected to provide a better framework for characterizing bystander effect of ADCs.
Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2017        PMID: 28821484      PMCID: PMC5625284          DOI: 10.1124/dmd.117.076414

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  22 in total

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Review 4.  Application of Pharmacokinetic-Pharmacodynamic Modeling and Simulation for Antibody-Drug Conjugate Development.

Authors:  Aman P Singh; Young G Shin; Dhaval K Shah
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Journal:  Angew Chem Int Ed Engl       Date:  2014-02-20       Impact factor: 15.336

7.  Application of a PK-PD Modeling and Simulation-Based Strategy for Clinical Translation of Antibody-Drug Conjugates: a Case Study with Trastuzumab Emtansine (T-DM1).

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8.  The Expression Patterns of ER, PR, HER2, CK5/6, EGFR, Ki-67 and AR by Immunohistochemical Analysis in Breast Cancer Cell Lines.

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9.  Quantitative characterization of in vitro bystander effect of antibody-drug conjugates.

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-26       Impact factor: 2.745

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  11 in total

Review 1.  Pharmacokinetic and Pharmacodynamic Properties of Drug Delivery Systems.

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Authors:  Aman P Singh; Gail M Seigel; Leiming Guo; Ashwni Verma; Gloria Gao-Li Wong; Hsuan-Ping Cheng; Dhaval K Shah
Journal:  J Pharmacol Exp Ther       Date:  2020-04-09       Impact factor: 4.030

4.  Antibody Coadministration as a Strategy to Overcome Binding-Site Barrier for ADCs: a Quantitative Investigation.

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5.  A "Dual" Cell-Level Systems PK-PD Model to Characterize the Bystander Effect of ADC.

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6.  Pharmacokinetics and Pharmacodynamics of TAK-164 Antibody Drug Conjugate Coadministered with Unconjugated Antibody.

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7.  Evaluation of Quantitative Relationship Between Target Expression and Antibody-Drug Conjugate Exposure Inside Cancer Cells.

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Journal:  Drug Metab Dispos       Date:  2020-02-21       Impact factor: 3.922

8.  A Systems Pharmacology Model for Drug Delivery to Solid Tumors by Antibody-Drug Conjugates: Implications for Bystander Effects.

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9.  Development of a Physiologically-Based Pharmacokinetic Model for Whole-Body Disposition of MMAE Containing Antibody-Drug Conjugate in Mice.

Authors:  Hsuan-Ping Chang; Zhe Li; Dhaval K Shah
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10.  A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs.

Authors:  Aman P Singh; Leiming Guo; Ashwni Verma; Gloria Gao-Li Wong; Dhaval K Shah
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