Evidence map›Paper›PMID 33818908›Full record

ArticleCPT: pharmacometrics & systems pharmacology2021

Translational pharmacokinetic-pharmacodynamic modeling of preclinical and clinical data of the oral MET inhibitor tepotinib to determine the recommended phase II dose.

Wenyuan Xiong, Manja Friese-Hamim, Andreas Johne, Christopher Stroh, Manfred Klevesath, Gerald S Falchook, David S Hong, Pascal Girard, Samer El Bawab

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

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  3. Preclinical Modeling of Navtemadlin Pharmacokinetics, Pharmacodynamics, and Efficacy in IDH-Wild-type Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  10. Moving the needle for oncology dose optimization: A call for action.CPT: pharmacometrics & systems pharmacology · 2024
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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 at 3 institutions in 2 countries.

Wenyuan XiongMerck Institute of Pharmacokinetics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.
Manja Friese-HamimMerck KGaA, Darmstadt, Germany.
Andreas JohneMerck KGaA, Darmstadt, Germany.
Christopher StrohMerck KGaA, Darmstadt, Germany.
Manfred KlevesathMerck KGaA, Darmstadt, Germany.
Gerald S FalchookSarah Cannon Research Institute at HealthONE, Denver, Colorado, USA.
David S HongMD Anderson Cancer Center, Houston, Texas, USA.
Pascal GirardMerck Institute of Pharmacokinetics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.
Samer El BawabMerck KGaA, Darmstadt, Germany.
Merck (Germany) · DEHealthONE · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tepotinib is a highly selective and potent MET inhibitor in development for the treatment of patients with solid tumors. Given the favorable tolerability and safety profiles up to the maximum tested dose in the first-in-human (FIH) trial, an efficacy-driven translational modeling approach was proposed to establish the recommended phase II dose (RP2D). To study the in vivo pharmacokinetics (PKs)/target inhibition/tumor growth inhibition relationship, a subcutaneous KP-4 pancreatic cell-line xenograft model in mice with sensitivity to MET pathway inhibition was selected as a surrogate tumor model. Further clinical PK and target inhibition data (derived from predose and postdose paired tumor biopsies) from a FIH study were integrated with the longitudinal PKs and target inhibition profiles from the mouse xenograft study to establish a translational PK/pharmacodynamic (PD) model. Preclinical data showed that tumor regression with tepotinib treatment in KP-4 xenograft tumors corresponded to 95% target inhibition. We therefore concluded that a PD criterion of sustained, near-to-complete (>95%) phospho-MET inhibition in tumors should be targeted for tepotinib to be effective. Simulations of dose-dependent target inhibition profiles in human tumors that exceeded the PD threshold in more than 90% of patients established an RP2D of tepotinib 500 mg once daily. This translational mathematical modeling approach supports an efficacy-driven rationale for tepotinib phase II dose selection of 500 mg once daily. Tepotinib at this dose has obtained regulatory approval for the treatment of patients with non-small cell lung cancer harboring MET exon 14 skipping.

Indexed as

Drug Evaluation, PreclinicalModels, TheoreticalAdministration, OralAnimalsClinical Trials, Phase II as TopicDose-Response Relationship, DrugHumansMicePiperidinesProtein Kinase InhibitorsPyridazinesPyrimidinesXenograft Model Antitumor AssaysPiperidinesProtein Kinase InhibitorsPyridazinesPyrimidinestepotinib

Identifiers

PMID33818908
PMCPMC8129711
OpenAlexW3140860453

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.