Literature DB >> 25446772

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

Siddharth Sukumaran1, 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.   

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.

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Year:  2014        PMID: 25446772     DOI: 10.1007/s11095-014-1582-1

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  22 in total

1.  Effects of drug loading on the antitumor activity of a monoclonal antibody drug conjugate.

Authors:  Kevin J Hamblett; Peter D Senter; Dana F Chace; Michael M C Sun; Joel Lenox; Charles G Cerveny; Kim M Kissler; Starr X Bernhardt; Anastasia K Kopcha; Roger F Zabinski; Damon L Meyer; Joseph A Francisco
Journal:  Clin Cancer Res       Date:  2004-10-15       Impact factor: 12.531

2.  Impact of drug conjugation on pharmacokinetics and tissue distribution of anti-STEAP1 antibody-drug conjugates in rats.

Authors:  C Andrew Boswell; Eduardo E Mundo; Crystal Zhang; Daniela Bumbaca; Nicole R Valle; Katherine R Kozak; Aimee Fourie; Josefa Chuh; Neelima Koppada; Ola Saad; Herman Gill; Ben-Quan Shen; Bonnee Rubinfeld; Jay Tibbitts; Surinder Kaur; Frank-Peter Theil; Paul J Fielder; Leslie A Khawli; Kedan Lin
Journal:  Bioconjug Chem       Date:  2011-10-03       Impact factor: 4.774

3.  Modeling of tumor growth and anticancer effects of combination therapy.

Authors:  Gilbert Koch; Antje Walz; Gezim Lahu; Johannes Schropp
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-04-22       Impact factor: 2.745

4.  Development of potent monoclonal antibody auristatin conjugates for cancer therapy.

Authors:  Svetlana O Doronina; Brian E Toki; Michael Y Torgov; Brian A Mendelsohn; Charles G Cerveny; Dana F Chace; Ron L DeBlanc; R Patrick Gearing; Tim D Bovee; Clay B Siegall; Joseph A Francisco; Alan F Wahl; Damon L Meyer; Peter D Senter
Journal:  Nat Biotechnol       Date:  2003-06-01       Impact factor: 54.908

5.  Semi-mechanistic population pharmacokinetic model of multivalent trastuzumab emtansine in patients with metastatic breast cancer.

Authors:  V L Chudasama; F Schaedeli Stark; J M Harrold; J Tibbitts; S R Girish; M Gupta; N Frey; D E Mager
Journal:  Clin Pharmacol Ther       Date:  2012-09-12       Impact factor: 6.875

6.  Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents.

Authors:  Monica Simeoni; Paolo Magni; Cristiano Cammia; Giuseppe De Nicolao; Valter Croci; Enrico Pesenti; Massimiliano Germani; Italo Poggesi; Maurizio Rocchetti
Journal:  Cancer Res       Date:  2004-02-01       Impact factor: 12.701

7.  Contribution of linker stability to the activities of anticancer immunoconjugates.

Authors:  Stephen C Alley; Dennis R Benjamin; Scott C Jeffrey; Nicole M Okeley; Damon L Meyer; Russell J Sanderson; Peter D Senter
Journal:  Bioconjug Chem       Date:  2008-03-04       Impact factor: 4.774

Review 8.  Potent antibody drug conjugates for cancer therapy.

Authors:  Peter D Senter
Journal:  Curr Opin Chem Biol       Date:  2009-05-04       Impact factor: 8.822

9.  Antibody-cytotoxic agent conjugates: preparation and characterization.

Authors:  Rajeeva Singh; Hans K Erickson
Journal:  Methods Mol Biol       Date:  2009

Review 10.  Methods for site-specific drug conjugation to antibodies.

Authors:  Christopher R Behrens; Bin Liu
Journal:  MAbs       Date:  2014 Jan-Feb       Impact factor: 5.857

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  17 in total

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

Authors:  Katie F Maass; Chethana Kulkarni; Alison M Betts; K Dane Wittrup
Journal:  AAPS J       Date:  2016-02-24       Impact factor: 4.009

2.  QSP Toolbox: Computational Implementation of Integrated Workflow Components for Deploying Multi-Scale Mechanistic Models.

Authors:  Yougan Cheng; Craig J Thalhauser; Shepard Smithline; Jyotsna Pagidala; Marko Miladinov; Heather E Vezina; Manish Gupta; Tarek A Leil; Brian J Schmidt
Journal:  AAPS J       Date:  2017-05-24       Impact factor: 4.009

3.  Preclinical and translational pharmacokinetics of a novel THIOMAB™ antibody-antibiotic conjugate against Staphylococcus aureus.

Authors:  Rong Deng; Chenguang Zhou; Dongwei Li; Hao Cai; Siddharth Sukumaran; Montserrat Carrasco-Triguero; Ola Saad; Denise Nazzal; Christopher Lowe; Saroja Ramanujan; Amrita V Kamath
Journal:  MAbs       Date:  2019-06-20       Impact factor: 5.857

Review 4.  Key metrics to expanding the pipeline of successful antibody-drug conjugates.

Authors:  Ian Nessler; Bruna Menezes; Greg M Thurber
Journal:  Trends Pharmacol Sci       Date:  2021-08-26       Impact factor: 17.638

5.  Development and Translational Application of an Integrated, Mechanistic Model of Antibody-Drug Conjugate Pharmacokinetics.

Authors:  Siddharth Sukumaran; Crystal Zhang; Douglas D Leipold; Ola M Saad; Keyang Xu; Kapil Gadkar; Divya Samineni; Bei Wang; Marija Milojic-Blair; Montserrat Carrasco-Triguero; Bonnee Rubinfeld; Paul Fielder; Kedan Lin; Saroja Ramanujan
Journal:  AAPS J       Date:  2016-09-27       Impact factor: 4.009

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.  Minimal physiologically-based pharmacokinetic modeling of DSTA4637A, A novel THIOMAB™ antibody antibiotic conjugate against Staphylococcus aureus, in a mouse model.

Authors:  Shun Xin Wang-Lin; Chenguang Zhou; Amrita V Kamath; Kyu Hong; Neelima Koppada; Ola M Saad; Montserrat Carrasco-Triguero; Cyrus Khojasteh; Rong Deng
Journal:  MAbs       Date:  2018-08-06       Impact factor: 5.857

8.  Multiscale Modeling of Antibody-Drug Conjugates: Connecting Tissue and Cellular Distribution to Whole Animal Pharmacokinetics and Potential Implications for Efficacy.

Authors:  Cornelius Cilliers; Hans Guo; Jianshan Liao; Nikolas Christodolu; Greg M Thurber
Journal:  AAPS J       Date:  2016-06-10       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.  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
Journal:  Pharm Res       Date:  2022-01-19       Impact factor: 4.200

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