Evidence map›Paper›PMID 39654382›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

A minimal physiologically-based pharmacokinetic modeling platform to predict intratumor exposure and receptor occupancy of an anti-LAG-3 monoclonal antibody.

Robin Michelet, Klas Petersson, Marc C Huisman, C Willemien Menke-van der Houven van Oordt, Iris H C Miedema, Andrea Thiele, Ghazal Montaseri, Alejandro Pérez-Pitarch, David Busse

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In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
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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

9 authors.

Robin MicheletqPharmetra LLC, Berlin, Germany.ORCID 0000-0002-5485-607X
Klas PeterssonqPharmetra LLC, Stockholm, Sweden.
Marc C HuismanDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
C Willemien Menke-van der Houven van OordtDepartment of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Iris H C MiedemaDepartment of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-7581-5277
Andrea ThieleBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Ghazal MontaseriBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
Alejandro Pérez-PitarchBoehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany.
David BusseBoehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany.ORCID 0000-0003-2738-7797

Funding

Boehringer Ingelheim Pharma GmbH & Co. KG
6 · The paper itself

Abstract

In oncology drug development, measuring drug concentrations at the tumor site and at the targeted receptor remains an ongoing challenge. Positron emission tomography (PET)-imaging is a promising noninvasive method to quantify intratumor exposure of a radiolabeled drug (biodistribution data) and target saturation by treatment doses in vivo. Here, we present the development and application of a minimal physiologically-based pharmacokinetic (mPBPK) modeling approach to integrate biodistribution data in a quantitative platform to characterize and predict intratumor exposure and receptor occupancy (RO) of BI 754111, an IgG-based anti-lymphocyte-activation gene 3 (LAG-3) monoclonal antibody (mAb). Specifically, calibration and qualification of the predictions were performed using

Indexed as

Antibodies, MonoclonalModels, BiologicalAnimalsCell Line, TumorHumansLymphocyte Activation Gene 3 ProteinMiceNeoplasmsPositron-Emission TomographyTissue DistributionAntibodies, MonoclonalLag3 protein, humanLymphocyte Activation Gene 3 Protein

Identifiers

PMID39654382
PMCPMC11919264

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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.