Evidence map›Paper›PMID 27029797›Full record

ArticleThe AAPS journal2016

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

Aman P Singh, Katie F Maass, Alison M Betts, K Dane Wittrup, Chethana Kulkarni, Lindsay E King, Antari Khot, Dhaval K Shah

Open access · greenAbstract readComment
In one paragraph

Article in The AAPS journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 45 citations in OpenAlex.

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  19. Pharmacokinetic and Pharmacodynamic Properties of Drug Delivery Systems.The Journal of pharmacology and experimental therapeutics · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Aman P SinghDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Kapoor Hall, Buffalo, New York, 14214-8033, USA.
Katie F MaassDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Alison M BettsTranslational Research Group, Department of Pharmacokinetics Dynamics and Metabolism, Pfizer, Groton, Connecticut, USA.
K Dane WittrupDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Chethana KulkarniOncology Medicinal Chemistry, Worldwide Medicinal Chemistry, Pfizer, Groton, Connecticut, USA.
Lindsay E KingTranslational Research Group, Department of Pharmacokinetics Dynamics and Metabolism, Pfizer, Groton, Connecticut, USA.
Antari KhotDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Kapoor Hall, 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 Kapoor Hall, Buffalo, New York, 14214-8033, USA. dshah4@buffalo.edu.
Pfizer (United States) · USUniversity at Buffalo, State University of New York · USMassachusetts Institute of Technology · US

Funding

Localizing Immunotherapy to Improve Therapeutic IndexR01CA174795 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 2013 to 2017
$2.0M
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
NCI NIH HHS R01 CA174795NIGMS NIH HHS R01 GM114179
6 · The paper itself

Abstract

A mathematical model capable of accurately characterizing intracellular disposition of ADCs is essential for a priori predicting unconjugated drug concentrations inside the tumor. Towards this goal, the objectives of this manuscript were to: (1) evolve previously published cellular disposition model of ADC with more intracellular details to characterize the disposition of T-DM1 in different HER2 expressing cell lines, (2) integrate the improved cellular model with the ADC tumor disposition model to a priori predict DM1 concentrations in a preclinical tumor model, and (3) identify prominent pathways and sensitive parameters associated with intracellular activation of ADCs. The cellular disposition model was augmented by incorporating intracellular ADC degradation and passive diffusion of unconjugated drug across tumor cells. Different biomeasures and chemomeasures for T-DM1, quantified in the companion manuscript, were incorporated into the modified model of ADC to characterize in vitro pharmacokinetics of T-DM1 in three HER2+ cell lines. When the cellular model was integrated with the tumor disposition model, the model was able to a priori predict tumor DM1 concentrations in xenograft mice. Pathway analysis suggested different contribution of antigen-mediated and passive diffusion pathways for intracellular unconjugated drug exposure between in vitro and in vivo systems. Global and local sensitivity analyses revealed that non-specific deconjugation and passive diffusion of the drug across tumor cell membrane are key parameters for drug exposure inside a cell. Finally, a systems pharmacokinetic model for intracellular processing of ADCs has been proposed to highlight our current understanding about the determinants of ADC activation inside a cell.

Indexed as

TrastuzumabAnimalsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesHumansImmunoconjugatesMaytansineModels, BiologicalNeoplasmsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsErb-b2 Receptor Tyrosine KinasesImmunoconjugatesMaytansineTrastuzumabantibody-drug conjugatecellular pharmacokineticsglobal sensitivity analysismechanistic modelmodel-based drug developmentT-DM1tumor dispositiontumor pharmacokinetics

Identifiers

PMID27029797
PMCPMC5234806
OpenAlexW2312557851

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.