Skip to main content
Advertisement

Main menu

  • Home
  • Articles
    • Current Issue
    • Fast Forward
    • Latest Articles
    • Special Sections
    • Archive
  • Information
    • Instructions to Authors
    • Submit a Manuscript
    • FAQs
    • For Subscribers
    • Terms & Conditions of Use
    • Permissions
  • Editorial Board
  • Alerts
    • Alerts
    • RSS Feeds
  • Virtual Issues
  • Feedback
  • Submit
  • Other Publications
    • Drug Metabolism and Disposition
    • Journal of Pharmacology and Experimental Therapeutics
    • Molecular Pharmacology
    • Pharmacological Reviews
    • Pharmacology Research & Perspectives
    • ASPET

User menu

  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Molecular Pharmacology
  • Other Publications
    • Drug Metabolism and Disposition
    • Journal of Pharmacology and Experimental Therapeutics
    • Molecular Pharmacology
    • Pharmacological Reviews
    • Pharmacology Research & Perspectives
    • ASPET
  • My alerts
  • Log in
  • My Cart
Molecular Pharmacology

Advanced Search

  • Home
  • Articles
    • Current Issue
    • Fast Forward
    • Latest Articles
    • Special Sections
    • Archive
  • Information
    • Instructions to Authors
    • Submit a Manuscript
    • FAQs
    • For Subscribers
    • Terms & Conditions of Use
    • Permissions
  • Editorial Board
  • Alerts
    • Alerts
    • RSS Feeds
  • Virtual Issues
  • Feedback
  • Submit
  • Visit molpharm on Facebook
  • Follow molpharm on Twitter
  • Follow molpharm on LinkedIn
Research ArticleArticle
Open Access

Differences in Sustained Cellular Effects of MET inhibitors Are Driven by Prolonged Target Engagement and Lysosomal Retention

Nina Berges, Jan Henrik Klug, Anna Eicher, Jennifer Loehr, Daniel Schwarz, Joerg Bomke, Birgitta Leuthner, Dominique Perrin and Oliver Schadt
Molecular Pharmacology February 2023, 103 (2) 77-88; DOI: https://doi.org/10.1124/molpharm.122.000590
Nina Berges
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jan Henrik Klug
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anna Eicher
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jennifer Loehr
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel Schwarz
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joerg Bomke
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Birgitta Leuthner
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dominique Perrin
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Oliver Schadt
The Healthcare Business of Merck KGaA, Darmstadt, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF + SI
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Fig. 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 1.

    Viability and pMET potency shifts after washout differ between MET inhibitors. EBC-1 cells were treated with selected MET inhibitors for 1 hour, before media were replaced three times to remove the compound from the supernatant, and 72-hour viability was measured. Dose-response curves for tepotinib (A) and capmatinib (B) show activity after washout compared with nonwashed control treatment. (C) Mean IC50 ± S.D. was calculated using Genedata screener. Multiple unpaired Student t tests, corrected for multiple comparisons using the Holm-Šidák method; N = 6; ***P < 0.001; **P < 0.01; *P < 0.05. MET phosphorylation 24 hours after washout for tepotinib (D) and for capmatinib (E) was measured with 0.5 µM tepotinib as inhibitor control and DMSO as vehicle. (F) Differences in mean IC50 ± S.D. of MET inhibitors were analyzed by multiple unpaired Student t tests; N = 3; ***P < 0.001; **P < 0.01; *P < 0.05. MET amp: MET amplification; NSCLC: non–small cell lung cancer; wt: wild-type.

  • Fig. 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 2.

    Time-dependent target engagement studied by SPR and NanoBRET. (A) Dissociation kinetics of inhibitor-target complexes observed over time on a Biacore 8K+. Starting point in each case is a saturated MET surface. (B) Recovery of surface activities determined over a period of 3 days on a Biacore 4000. The MET-inhibitor complexes are continuously flooded with inhibitor-free buffer. At indicated timepoints, the recovery of free binding sites was determined with a reference molecule and converted to remaining target occupancies. (C) Cellular target engagement of MET was determined by NanoBRET assay. Cells were treated for 1 hour with the respective MET inhibitors. For washout samples, IC50 determination was performed after 4 hours of incubation following washout. DMSO and tracer were used as 100% occupancy control. Shift factors were calculated using the ratio of washout and control IC50 values. Mean IC50 and S.D. are based on 3–6 independent experiments. BRET, bioluminescence resonance energy transfer; RT, residence time time; SPR: surface plasmon resonance.

  • Fig. 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 3.

    Sustained effects after washout correlate with increased compound concentration in cell lysates. (A) Concentrations from EBC-1 cell lysates after 1-hour compound incubation and washing steps normalized to 10,000 cells per well for different treatment concentrations and MET inhibitors; N = 3 with six replicates each [data shown as scatter dot plot with arithmetic means (indicated with -) and S.D. expressed with error bars]. (B) A closeup shows compound partition between cell lysates and incubation media after treatment with 5 µM MET inhibitor. The stacked bars showing the means of recovered compound amounts from cell lysates (bottom) and cell supernatant (top), with S.D. expressed with error bars.

  • Fig. 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 4.

    Physicochemical profiles of tepotinib and crizotinib translate into lysosomal compound reservoirs. EBC-1 cells were cotreated with tepotinib and chloroquine for 1 hour, before media were replaced three times to remove the compound from the supernatant, and MET phosphorylation was measured after 24 hours. (A) Activity of cotreatments compared with tepotinib monotreatment. Mean ± S.E.M.; N = 3; two-way ANOVA; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. LysoTracker staining of A549 cells (green) and nuclear counterstain using DAPI (blue). Imaging was performed using the high-content imager Micro Confocal (Molecular Devices) and a 20x objective. Scale bars, 50 µM. (B) A549 cells treated for 1 hour with 0.1 µM and 10 µM tepotinib and 0.5% DMSO (control). (C) Images quantified counting vesicles using MetaXpress software. Two-point normalization using 0.5% DMSO (100%) and 50 µM chloroquine (0%). (D) Treatment with 12.5 µM tepotinib control and washout. DAPI: 4′,6-diamidino-2-phenylindole; ns, not significant.

  • Fig. 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 5.

    Schematic display of kinetics for the intracellular distribution of tepotinib and the charged form of the molecule (tepotinib+) as a lysosomotropic compound. Compound distribution within a cell is a complex, dynamic process influenced by multiple factors. The highlighted aspects are the duration of the drug-target complex and the dissociation rate constant (koff) (A) and compound lysosomal reservoir (B). Additional factors influencing the equilibrium include protein binding and transport across the membrane.

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1

    Physicochemical profiles of tepotinib, crizotinib, capmatinib, and savolitinib

    CompoundStructureMW [g/mol]HAc [N]HDon [N]TPSA [Å2]logPpKa1pKa2
    TepotinibEmbedded Image492.5880953.999.25—
    CrizotinibEmbedded Image450.3463783.879.215.29
    CapmatinibEmbedded Image412.4371852.364.572.18
    SavolitinibEmbedded Image345.3790921.285.80—
    • HAc, hydrogen bond acceptors; HDon, hydrogen bond donators; MW, molecular weight; TPSA, topological polar surface area.

Additional Files

  • Figures
  • Tables
  • Data Supplement

    • 590_supp_figs.pdf -

      Supplementary Figure S1. EBC-1 cells were treated with selected MET inhibitors for 1 hour, before media were replaced three times to remove the compound from the supernatant, and 72-hour viability was measured.

      Supplementary Figure S2. EBC-1 cells were treated with selected MET inhibitors for 1 hour, before media were replaced three times to remove the compound from the supernatant, and 72-hour viability was measured.

      Supplementary Figure S3. Cellular target engagement of MET was determined by NanoBRET assay.

      Supplementary Figure S4. Cellular target engagement of MET was determined by NanoBRET assay.

      Supplementary Figure S5. EBC-1 cells were co-treated with selected MET inhibitors and chloroquine for 1 hour, before media were replaced three times to remove the compound from the supernatant, and MET phosphorylation was measured after 24 hours.

      Supplementary Figure S6. LysoTracker staining (green) and nuclear counterstain using DAPI (blue). Imaging was performed using the high content imager ImageXpressULTRA (Molecular Devices) and a 20x objective.

PreviousNext
Back to top

In this issue

Molecular Pharmacology: 103 (2)
Molecular Pharmacology
Vol. 103, Issue 2
1 Feb 2023
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Editorial Board (PDF)
  • Front Matter (PDF)
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Molecular Pharmacology article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Differences in Sustained Cellular Effects of MET inhibitors Are Driven by Prolonged Target Engagement and Lysosomal Retention
(Your Name) has forwarded a page to you from Molecular Pharmacology
(Your Name) thought you would be interested in this article in Molecular Pharmacology.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Research ArticleArticle

MET Inhibitors—Mechanisms of Prolonged Target Engagement

Nina Berges, Jan Henrik Klug, Anna Eicher, Jennifer Loehr, Daniel Schwarz, Joerg Bomke, Birgitta Leuthner, Dominique Perrin and Oliver Schadt
Molecular Pharmacology February 1, 2023, 103 (2) 77-88; DOI: https://doi.org/10.1124/molpharm.122.000590

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Research ArticleArticle

MET Inhibitors—Mechanisms of Prolonged Target Engagement

Nina Berges, Jan Henrik Klug, Anna Eicher, Jennifer Loehr, Daniel Schwarz, Joerg Bomke, Birgitta Leuthner, Dominique Perrin and Oliver Schadt
Molecular Pharmacology February 1, 2023, 103 (2) 77-88; DOI: https://doi.org/10.1124/molpharm.122.000590
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgments
    • Authorship Contributions
    • Footnotes
    • Abbreviations
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF + SI
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Mechanism of the selective action of paraherquamide A
  • Relapsed-Leukemia Model with NT5C2/PRPS1 Hotspot Mutations
  • The Binding Site for KCI807 in the Androgen Receptor
Show more Articles

Similar Articles

Advertisement
  • Home
  • Alerts
Facebook   Twitter   LinkedIn   RSS

Navigate

  • Current Issue
  • Fast Forward by date
  • Fast Forward by section
  • Latest Articles
  • Archive
  • Search for Articles
  • Feedback
  • ASPET

More Information

  • About Molecular Pharmacology
  • Editorial Board
  • Instructions to Authors
  • Submit a Manuscript
  • Customized Alerts
  • RSS Feeds
  • Subscriptions
  • Permissions
  • Terms & Conditions of Use

ASPET's Other Journals

  • Drug Metabolism and Disposition
  • Journal of Pharmacology and Experimental Therapeutics
  • Pharmacological Reviews
  • Pharmacology Research & Perspectives
ISSN 1521-0111 (Online)

Copyright © 2023 by the American Society for Pharmacology and Experimental Therapeutics