ArticleJournal of pharmacokinetics and pharmacodynamics2017
Platform model describing pharmacokinetic properties of vc-MMAE antibody-drug conjugates.
Article in Journal of pharmacokinetics and pharmacodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Population Pharmacokinetic Analysis of Datopotamab Deruxtecan (Dato-DXd), a TROP2-Directed Antibody-Drug Conjugate, in Patients With Advanced Solid Tumors.CPT: pharmacometrics & systems pharmacology · 2025Article
- Target-mediated drug disposition model for drugs with N > 2 binding sites that bind to a target with one binding site.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Note on importance of correct stoichiometric assumptions for modeling of monoclonal antibodies.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- A Phase I Study of DLYE5953A, an Anti-LY6E Antibody Covalently Linked to Monomethyl Auristatin E, in Patients with Refractory Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020Article
- Impact of Physiologically Based Pharmacokinetics, Population Pharmacokinetics and Pharmacokinetics/Pharmacodynamics in the Development of Antibody-Drug Conjugates.Journal of clinical pharmacology · 2020Review
- Capturing the Magic Bullet: Pharmacokinetic Principles and Modeling of Antibody-Drug Conjugates.The AAPS journal · 2020Review
- Integrated Two-Analyte Population Pharmacokinetic Model of Polatuzumab Vedotin in Patients With Non-Hodgkin Lymphoma.CPT: pharmacometrics & systems pharmacology · 2020Article
- Prediction of Human Pharmacokinetics of Antibody-Drug Conjugates From Nonclinical Data.Clinical and translational science · 2019Article
- Time-to-Event Modeling of Peripheral Neuropathy: Platform Analysis of Eight Valine-Citrulline-Monomethylauristatin E Antibody-Drug Conjugates.CPT: pharmacometrics & systems pharmacology · 2019Article
Corrections and comments
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Authors and funding
15 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibody-drug conjugates (ADCs) developed using the valine-citrulline-MMAE (vc-MMAE) platform, consist of a monoclonal antibody (mAb) covalently bound with a potent anti-mitotic toxin (MMAE) through a protease-labile vc linker. Recently, clinical data for a variety of vc-MMAE ADCs has become available. The goal of this analysis was to develop a platform model that simultaneously described antibody-conjugated MMAE (acMMAE) pharmacokinetic (PK) data from eight vc-MMAE ADCs, against different targets and tumor indications; and to assess differences and similarities of model parameters and model predictions, between different compounds. Clinical PK data of eight vc-MMAE ADCs from eight Phase I studies were pooled. A population PK platform model for the eight ADCs was developed, where the inter-compound variability (ICV) was described explicitly, using the third random effect level (ICV), and implemented using LEVEL option of NONMEM 7.3. The PK was described by a two-compartment model with time dependent clearance. Clearance and volume of distribution increased with body weight; volume was higher for males, and clearance mildly decreased with the nominal dose. Michaelis-Menten elimination had only minor effect on PK and was not included in the model. Time-dependence of clearance had no effect beyond the first dosing cycle. Clearance and central volume were similar among ADCs, with ICV of 15 and 5%, respectively. Thus, PK of acMMAE was largely comparable across different vc-MMAE ADCs. The model may be applied to predict PK-profiles of vc-MMAE ADCs under development, estimate individual exposure for the subsequent PK-pharmacodynamics (PD) analysis, and project optimal dose regimens and PK sampling times.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.