Literature DB >> 26912181

Determination of Cellular Processing Rates for a Trastuzumab-Maytansinoid Antibody-Drug Conjugate (ADC) Highlights Key Parameters for ADC Design.

Katie F Maass1,2, Chethana Kulkarni3, Alison M Betts4, K Dane Wittrup5,6,7.   

Abstract

Antibody-drug conjugates (ADCs) are a promising class of cancer therapeutics that combine the specificity of antibodies with the cytotoxic effects of payload drugs. A quantitative understanding of how ADCs are processed intracellularly can illustrate which processing steps most influence payload delivery, thus aiding the design of more effective ADCs. In this work, we develop a kinetic model for ADC cellular processing as well as generalizable methods based on flow cytometry and fluorescence imaging to parameterize this model. A number of key processing steps are included in the model: ADC binding to its target antigen, internalization via receptor-mediated endocytosis, proteolytic degradation of the ADC, efflux of the payload out of the cell, and payload binding to its intracellular target. The model was developed with a trastuzumab-maytansinoid ADC (TM-ADC) similar to trastuzumab-emtansine (T-DM1), which is used in the clinical treatment of HER2+ breast cancer. In three high-HER2-expressing cell lines (BT-474, NCI-N87, and SK-BR-3), we report for TM-ADC half-lives for internalization of 6-14 h, degradation of 18-25 h, and efflux rate of 44-73 h. Sensitivity analysis indicates that the internalization rate and efflux rate are key parameters for determining how much payload is delivered to a cell with TM-ADC. In addition, this model describing the cellular processing of ADCs can be incorporated into larger pharmacokinetics/pharmacodynamics models, as demonstrated in the associated companion paper.

Entities:  

Keywords:  T-DM1; antibody-drug conjugate; cellular trafficking; pharmacokinetics/pharmacodynamics; trastuzumab emtansine

Mesh:

Substances:

Year:  2016        PMID: 26912181      PMCID: PMC5256610          DOI: 10.1208/s12248-016-9892-3

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  45 in total

1.  Immunoconjugates containing novel maytansinoids: promising anticancer drugs.

Authors:  R V Chari; B A Martell; J L Gross; S B Cook; S A Shah; W A Blättler; S J McKenzie; V S Goldmacher
Journal:  Cancer Res       Date:  1992-01-01       Impact factor: 12.701

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

Authors:  Siddharth Sukumaran; Kapil Gadkar; Crystal Zhang; Sunil Bhakta; Luna Liu; Keyang Xu; Helga Raab; Shang-Fan Yu; Elaine Mai; Aimee Fourie-O'Donohue; Katherine R Kozak; Saroja Ramanujan; Jagath R Junutula; Kedan Lin
Journal:  Pharm Res       Date:  2014-12-02       Impact factor: 4.200

3.  Intracellular Catabolism of an Antibody Drug Conjugate with a Noncleavable Linker.

Authors:  Brooke M Rock; Mark E Tometsko; Sonal K Patel; Kevin J Hamblett; William C Fanslow; Dan A Rock
Journal:  Drug Metab Dispos       Date:  2015-06-22       Impact factor: 3.922

4.  Modeling the efficacy of trastuzumab-DM1, an antibody drug conjugate, in mice.

Authors:  Nelson L Jumbe; Yan Xin; Douglas D Leipold; Lisa Crocker; Debra Dugger; Elaine Mai; Mark X Sliwkowski; Paul J Fielder; Jay Tibbitts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-04-28       Impact factor: 2.745

5.  Mechanistic pharmacokinetic/pharmacodynamic modeling of in vivo tumor uptake, catabolism, and tumor response of trastuzumab maytansinoid conjugates.

Authors:  Russ Wada; Hans K Erickson; Gail D Lewis Phillips; Carmela A Provenzano; Douglas D Leipold; Elaine Mai; Holly Johnson; Jay Tibbitts
Journal:  Cancer Chemother Pharmacol       Date:  2014-09-04       Impact factor: 3.333

6.  Kinetics of anti-carcinoembryonic antigen antibody internalization: effects of affinity, bivalency, and stability.

Authors:  Michael M Schmidt; Greg M Thurber; K Dane Wittrup
Journal:  Cancer Immunol Immunother       Date:  2008-04-12       Impact factor: 6.968

7.  SLC46A3 Is Required to Transport Catabolites of Noncleavable Antibody Maytansine Conjugates from the Lysosome to the Cytoplasm.

Authors:  Kevin J Hamblett; Allison P Jacob; Jesse L Gurgel; Mark E Tometsko; Brooke M Rock; Sonal K Patel; Robert R Milburn; Sophia Siu; Seamus P Ragan; Dan A Rock; Christopher J Borths; Jason W O'Neill; Wesley S Chang; Margaret F Weidner; Matthew M Bio; Kim C Quon; William C Fanslow
Journal:  Cancer Res       Date:  2015-12-02       Impact factor: 12.701

8.  Impact of tumor HER2/ERBB2 expression level on HER2-targeted liposomal doxorubicin-mediated drug delivery: multiple low-affinity interactions lead to a threshold effect.

Authors:  Bart S Hendriks; Stephan G Klinz; Joseph G Reynolds; Christopher W Espelin; Daniel F Gaddy; Thomas J Wickham
Journal:  Mol Cancer Ther       Date:  2013-05-30       Impact factor: 6.261

9.  Clinical pharmacology of trastuzumab emtansine (T-DM1): an antibody-drug conjugate in development for the treatment of HER2-positive cancer.

Authors:  Sandhya Girish; Manish Gupta; Bei Wang; Dan Lu; Ian E Krop; Charles L Vogel; Howard A Burris Iii; Patricia M LoRusso; Joo-Hee Yi; Ola Saad; Barbara Tong; Yu-Waye Chu; Scott Holden; Amita Joshi
Journal:  Cancer Chemother Pharmacol       Date:  2012-01-20       Impact factor: 3.333

10.  Lysosomes behave as Ca2+-regulated exocytic vesicles in fibroblasts and epithelial cells.

Authors:  A Rodríguez; P Webster; J Ortego; N W Andrews
Journal:  J Cell Biol       Date:  1997-04-07       Impact factor: 10.539

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  22 in total

1.  Development of a Translational Physiologically Based Pharmacokinetic Model for Antibody-Drug Conjugates: a Case Study with T-DM1.

Authors:  Antari Khot; Jay Tibbitts; Dan Rock; Dhaval K Shah
Journal:  AAPS J       Date:  2017-08-14       Impact factor: 4.009

Review 2.  Transport of drugs from blood vessels to tumour tissue.

Authors:  Mark W Dewhirst; Timothy W Secomb
Journal:  Nat Rev Cancer       Date:  2017-11-10       Impact factor: 60.716

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

Authors:  Aman P Singh; Dhaval K Shah
Journal:  Drug Metab Dispos       Date:  2017-08-18       Impact factor: 3.922

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

Authors:  Aman P Singh; Dhaval K Shah
Journal:  J Pharm Sci       Date:  2019-02-18       Impact factor: 3.534

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

Authors:  Aman P Singh; Sharad Sharma; Dhaval K Shah
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-26       Impact factor: 2.745

6.  Evolution of Antibody-Drug Conjugate Tumor Disposition Model to Predict Preclinical Tumor Pharmacokinetics of Trastuzumab-Emtansine (T-DM1).

Authors:  Aman P Singh; Katie F Maass; Alison M Betts; K Dane Wittrup; Chethana Kulkarni; Lindsay E King; Antari Khot; Dhaval K Shah
Journal:  AAPS J       Date:  2016-03-30       Impact factor: 4.009

7.  Effect of Size on Solid Tumor Disposition of Protein Therapeutics.

Authors:  Zhe Li; Yingyi Li; Hsuan-Ping Chang; Hsueh-Yuan Chang; Leiming Guo; Dhaval K Shah
Journal:  Drug Metab Dispos       Date:  2019-08-06       Impact factor: 3.922

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

Authors:  Jackson K Burton; Dean Bottino; Timothy W Secomb
Journal:  AAPS J       Date:  2019-12-11       Impact factor: 4.009

9.  An Agent-Based Systems Pharmacology Model of the Antibody-Drug Conjugate Kadcyla to Predict Efficacy of Different Dosing Regimens.

Authors:  Bruna Menezes; Cornelius Cilliers; Timothy Wessler; Greg M Thurber; Jennifer J Linderman
Journal:  AAPS J       Date:  2020-01-15       Impact factor: 4.009

10.  Severing Ties: Quantifying the Payload Release from Antibody Drug Conjugates.

Authors:  Anna Kopp; Greg M Thurber
Journal:  Cell Chem Biol       Date:  2019-12-19       Impact factor: 8.116

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