Evidence map›Paper›PMID 35044590›Full record

ArticlePharmaceutical research2022

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

Hsuan-Ping Chang, Zhe Li, Dhaval K Shah

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  7. Future Directions for Quantitative Systems Pharmacology.Handbook of experimental pharmacology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Hsuan-Ping ChangDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, New York, 14214-8033, USA.
Zhe LiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, New York, 14214-8033, USA.
Dhaval K ShahDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, New York, 14214-8033, USA. dshah4@buffalo.edu.ORCID http://orcid.org/0000-0002-0723-6206
University at Buffalo, State University of New York · US

Funding

Enhancement of ADC selectivity by inverse targeting: Mechanistic studies and optimizationR01CA256928 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P · 2021 to 2025
$1.8M
Pharmacokinetic strategies to increase monoclonal antibody uptake, distribution, and efficacy for treatment of solid tumorsR01CA246785 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P, SHAH, DHAVAL K · 2020 to 2024
$1.8M
Translational Systems Pharmacokinetic Models of Novel Anticancer BiologicsR01GM114179 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SHAH, DHAVAL K · 2015 to 2019
$1.7M
Center for Protein Therapeutics, University at Buffalo NANational Institute of Allergy and Infectious Diseases AI138195NCI NIH HHS R01 CA246785NCI NIH HHS R01CA246785NCI NIH HHS R01 CA256928NCI NIH HHS R01CA256928NIGMS NIH HHS GM114179
6 · The paper itself

Abstract

purposeTo quantitate and mathematically characterize the whole-body pharmacokinetics (PK) of different ADC analytes following administration of an MMAE-conjugated ADC in tumor-bearing mice.

methodsThe PK of different ADC analytes (total antibody, total drug, unconjugated drug) was measured following administration of an MMAE-conjugated ADC in tumor-bearing mice. The PK of ADC analytes was compared with the whole-body PK of the antibody and drug obtained following administration of these molecules alone. An ADC PBPK model was developed by linking antibody PBPK model with small-molecule PBPK model, where the drug was assumed to deconjugate in DAR-dependent manner.

resultsComparison of antibody biodistribution coefficient (ABC) values for total antibody suggests that conjugation of drug did not significantly affect the PK of antibody. Comparison of tissue:plasma AUC ratio (T/P) for the conjugated drug and total antibody suggests that in certain tissues (e.g., spleen) ADC may demonstrate higher deconjugation. It was observed that the tissue distribution profile of the drug can be altered following its conjugation to antibody. For example, MMAE distribution to the liver was found to increase while its distribution to the heart was found to decrease upon conjugation to antibody. MMAE exposure in the tumor was found to increase by ~20-fold following administration as conjugate (i.e., ADC). The PBPK model was able to a priori predict the PK of all three ADC analytes in plasma, tissues, and tumor reasonably well.

conclusionsThe ADC PBPK model developed here serves as a platform for translational and clinical investigations of MMAE containing ADCs.

Indexed as

ImmunoconjugatesNeoplasmsAnimalsCell Line, TumorMiceModels, BiologicalOligopeptidesTissue DistributionImmunoconjugatesOligopeptidesAntibody-drug conjugate (ADC)monomethyl auristatin E (MMAE)pharmacokineticsphysiologically-based pharmacokinetic (PBPK) modeltissue distribution

Identifiers

PMID35044590
OpenAlexW4206005452

What OpenQuestion holds

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Registered trials

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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.