Evidence map›Paper›PMID 36108503›Full record

ReviewCancer treatment reviews2022

Refining patient selection of MET-activated non-small cell lung cancer through biomarker precision.

Gillianne G Y Lai, Robin Guo, Alexander Drilon, Daniel Shao Weng Tan

Open access · greenAbstract readReview
In one paragraph

Review in Cancer treatment reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. ALK-tyrosine kinase inhibitor resistance due to acquiredTranslational lung cancer research · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. The MET Oncogene: An Update on Targeting Strategies.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
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

4 authors at 1 institution in 1 country.

Gillianne G Y LaiDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Robin GuoMemorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA.
Alexander DrilonMemorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA.
Daniel Shao Weng TanDivision of Medical Oncology, National Cancer Centre Singapore, Singapore. Electronic address: daniel.tan.s.w@singhealth.com.sg.
National Cancer Centre Singapore · SG

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Dysregulated MET signaling plays an important role in lung oncogenesis, tumor growth and invasiveness. It may occur through various mechanisms, such as MET overexpression or gene amplification or mutation, all of which can be detected by specific methods. The utility of MET overexpression as a biomarker remains unclear due to discrepancies in its occurrence and non-standardized cut-off thresholds. MET exon 14 skipping mutation (METex14) was established as a strong predictor of response to selective MET tyrosine kinase inhibitors (TKIs), and clinical trial results in patients with non-small cell lung cancer (NSCLC) harboring METex14 led to the approval of capmatinib and tepotinib by regulatory agencies worldwide. MET amplification is an emerging biomarker, with clinical data indicating an association between MET gene copy number and response to MET-TKIs. Additionally, MET amplification represents an important mechanism of resistance to TKIs in oncogene-driven NSCLC. The identification of molecular alterations for which targeted therapies are available is important, and high-throughput next-generation sequencing techniques can provide information on multiple genes at the same time, helping to provide valuable predictive information for oncogene-driven cancers. This review summarizes the current methods used for the detection of METex14, MET amplification and MET overexpression, and discusses the evidence for the use of MET-TKIs in patients with NSCLC with MET dysregulation. We discuss the practical challenges that impact the use of METex14 in the clinic and the evidence gaps that need to be addressed to validate additional genomic markers for MET-dependent cancers.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorExonsHumansMutationPatient SelectionProtein Kinase InhibitorsProto-Oncogene Proteins c-metBiomarkers, TumorProtein Kinase InhibitorsProto-Oncogene Proteins c-metBiomarkersMETMolecular diagnosticNSCLCTargeted therapy

Identifiers

PMID36108503
PMCPMC10961969
OpenAlexW4289335944

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.