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Updated: Sep 23, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
Companion Diagnostics and Predictive Biomarkers for MET-Targeted Therapy in NSCLC
Jan Trøst Jørgensen1, Jens Mollerup2
1Department: Medical Sciences, Dx-Rx Institute, Baunevaenget 76, 3480 Fredensborg, Denmark.
Identifying effective predictive biomarkers is crucial for MET-targeted therapies in non-small cell lung cancer (NSCLC). Companion diagnostic (CDx) assays, like those for MET exon 14 skipping, are key for patient selection.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Dysregulation of the MET tyrosine kinase receptor drives oncogenesis in various cancers.
- MET-targeted therapies are under development for non-small cell lung cancer (NSCLC), but clinical success is limited.
- Effective predictive biomarkers are needed to optimize patient selection for MET-targeted treatments.
Purpose of the Study:
- To discuss the concept of companion diagnostic (CDx) assays.
- To focus on FDA-approved MET-targeted therapies for NSCLC.
- To highlight the importance of predictive biomarkers in MET-targeted cancer therapy.
Main Methods:
- Review of current MET-targeted therapies and their associated diagnostic assays.
- Analysis of genetic alterations in MET, including exon 14 skipping and amplification.
- Evaluation of fluorescence in situ hybridization (FISH) for detecting MET amplification (MET/CEP7 ratio).
Main Results:
- Capmatinib is the only approved MET-targeted drug with a CDx assay for NSCLC with MET exon 14 skipping.
- MET amplification is a resistance mechanism in EGFR-mutated NSCLC.
- The MET/CEP7 ratio detected by FISH shows strong predictive properties for MET amplification, excluding polysomy.
Conclusions:
- Companion diagnostic assays are essential for the effective use of MET-targeted therapies in NSCLC.
- Accurate identification of MET alterations, such as exon 14 skipping and amplification, guides treatment decisions.
- Further development and validation of predictive biomarkers are critical for advancing MET-targeted cancer treatment.
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