Evidence map›Paper›PMID 25806189›Full record

ReviewTranslational lung cancer research2012

MET inhibitors in combination with other therapies in non-small cell lung cancer.

Sukhmani Padda, Joel W Neal, Heather A Wakelee

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Article
  6. Review
  7. Review
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  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Review
  16. C-MET inhibitors in the treatment of lung cancer.Current treatment options in oncology · 2014
    Review
  17. Review
  18. Article
  19. 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

3 authors at 1 institution in 1 country.

Sukhmani PaddaStanford University/Stanford Cancer Institute, 875 Blake Wilbur Drive, Stanford, CA 94305-5826, USA.
Joel W NealStanford University/Stanford Cancer Institute, 875 Blake Wilbur Drive, Stanford, CA 94305-5826, USA.
Heather A WakeleeStanford University/Stanford Cancer Institute, 875 Blake Wilbur Drive, Stanford, CA 94305-5826, USA.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MET and its ligand hepatocyte growth factor/scatter factor (HGF) influence cell motility and lead to tumor growth, invasion, and angiogenesis. Alterations in MET have been observed in non-small cell lung cancer (NSCLC) tumors, with increased expression associated with more aggressive cancer, as well as acquired resistance to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI). MET inhibitors act via two basic mechanisms. Small molecule inhibitors antagonize ATP in the intracellular tyrosine kinase domain of MET, with studies on the following agents reviewed here: tivantinib (ARQ-197), cabozantinib (XL-184), crizotinib (PF-02341066), amuvatinib (MP470), MGCD265, foretinib (EXEL-2880), MK2461, SGX523, PHA665752, JNJ-38877605, SU11274, and K252A. The monoclonal monovalent antibody fragment onartuzumab (MetMAb) is also discussed here, which binds to and prevents the extracellular activation of the receptor by ligand. MET inhibition may both overcome the negative prognostic effect of MET tumor expression as well as antagonize MET-dependent acquired resistance to EGFR inhibitors. Here we discuss MET inhibitors in combination with other therapies in lung cancer.

Indexed as

METNon-small cell lung cancertargeted therapiestyrosine kinase inhibitors

Identifiers

PMID25806189
PMCPMC4367550
OpenAlexW2191995810

What OpenQuestion holds

Textmetadata
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.