ReviewCell reports. Medicine2025
The expanding role of the receptor tyrosine kinase MET as a therapeutic target in non-small cell lung cancer.
Review in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Molecular imaging tracers targeting c-MET: a systematic review of preclinical evidence and clinical translation.European journal of nuclear medicine and molecular imaging · 2026Review
- Medicinal Chemistry of Small-Molecule c-Met Inhibitors: From Approved Therapies to Emerging Multitarget Anticancer Agents.International journal of molecular sciences · 2026Review
- Integrative network pharmacology and in vitro validation reveal the mechanisms by which Apigenin reverses MET-TKI resistance in non-small cell lung cancer.Discover oncology · 2026Article
- From Classical to Emerging Biomarkers of Brain and Central Nervous System Tumors. An Evidence-Based Review with a Focus on Gliomas.Cellular and molecular neurobiology · 2026Review
- Article
- Improvement of Diagnostics in NSCLC Patients withInternational journal of molecular sciences · 2025Article
- Autoregulation of the MET receptor tyrosine kinase by its intracellular juxtamembrane domain.The Biochemical journal · 2025Article
- Mechanistic insights into MET exon 14 skipping mutations and their role in tumor progression.Biochemical Society transactions · 2025Review
- Targeted Therapies Modulating Mesenchymal-Epithelial Transition-Linked Oncogenic Signaling in the Tumor Microenvironment: Comparative Profiling of Capmatinib, Bemcentinib, and Galunisertib.Journal of clinical medicine · 2025Review
- Article
- Pharmacological strategies to overcome immune checkpoint inhibitor resistance in non-small cell lung cancer.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aberrant regulation of MET receptor tyrosine kinase activity is a frequent event in non-small cell lung cancer (NSCLC), even though the frequency of oncogenic driver mutations of MET is low. Our discovery of oncogenic MET exon 14 skipping mutations, the characterization of the first prototype MET kinase inhibitor, and characterization of MET expression levels have led the way to novel therapeutic approaches with improved outcomes in NSCLC. MET exon 14 mutations are the most consequential but not the only alterations that can be targeted through small molecule tyrosine kinase inhibitors. The abundant expression of cellular MET (c-MET) in cancer cells has provided new opportunities for immuno-oncology approaches in a broader patient population, and the integration of MET-targeted personalized medicine with immunotherapy has not been fully exploited yet. Here, we highlight essential facets of MET as a therapeutic target in NSCLC and provide an outlook for future approaches.
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What OpenQuestion holds
Registered trials
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.