A translational physiologically-based pharmacokinetic model for MMAE-based antibody-drug conjugates

The objective of this work was to develop a translational physiologically-based pharmacokinetic (PBPK) model for antibody-drug conjugates (ADCs), using monomethyl auristatin E (MMAE)-based ADCs. A previously established dual-structured whole-body PBPK model for MMAE-based ADCs in mice was scaled to higher species (i.e., rats and monkeys) and humans. Species-specific physiological and drug-related parameters for the payload and antibody backbone of ADCs were obtained from literature. Parameters associated with payload release, including the deconjugation rate, were optimized using an allometric scaling approach, and antibody degradation rate was adjusted to account for the enhanced clearance of ADCs due to conjugation across different species. The translational PBPK model predicted the PK profiles for various ADC analytes in rats, monkeys, and humans reasonably well. The optimized PBPK model suggested decreased rate of deconjugation for ADCs in higher species, whereas the effects of payload conjugation on ADC clearance were more pronounced in higher species and humans. The translational PBPK model presented here may enable prediction of different ADC analyte PK at the site-of-action, offering valuable insights for the development of exposure-response relationships for ADCs. The modeling framework presented here can also serve as a platform for the development of PBPK model for other ADCs.

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Publication Details

Journal
Journal of Pharmacokinetics and Pharmacodynamics
Published
2025-05-05
DOI
https://doi.org/10.1007/s10928-025-09978-3
Citations
9
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
9.41

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article

A translational physiologically-based pharmacokinetic model for MMAE-based antibody-drug conjugates

Hsuan‐Ping Chang, Dhaval K. Shah
9 citations
Journal of Pharmacokinetics and Pharmacodynamics
HER2/EGFR in Cancer Research
9.41
article

A translational physiologically-based pharmacokinetic model for MMAE-based antibody-drug conjugates

Hsuan‐Ping Chang, Dhaval K. Shah
article en
9 citations

Abstract

The objective of this work was to develop a translational physiologically-based pharmacokinetic (PBPK) model for antibody-drug conjugates (ADCs), using monomethyl auristatin E (MMAE)-based ADCs. A previously established dual-structured whole-body PBPK model for MMAE-based ADCs in mice was scaled to higher species (i.e., rats and monkeys) and humans. Species-specific physiological and drug-related parameters for the payload and antibody backbone of ADCs were obtained from literature. Parameters associated with payload release, including the deconjugation rate, were optimized using an allometric scaling approach, and antibody degradation rate was adjusted to account for the enhanced clearance of ADCs due to conjugation across different species. The translational PBPK model predicted the PK profiles for various ADC analytes in rats, monkeys, and humans reasonably well. The optimized PBPK model suggested decreased rate of deconjugation for ADCs in higher species, whereas the effects of payload conjugation on ADC clearance were more pronounced in higher species and humans. The translational PBPK model presented here may enable prediction of different ADC analyte PK at the site-of-action, offering valuable insights for the development of exposure-response relationships for ADCs. The modeling framework presented here can also serve as a platform for the development of PBPK model for other ADCs.

Journal of Pharmacokinetics and PharmacodynamicsVol. 52(3)
University at Buffalo, State University of New York (US)
Division of Cancer Prevention, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, Center for Protein Therapeutics, University at Buffalo
Life in Land
Openalex Percentile: Top 2%
HER2/EGFR in Cancer Research
9.41
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