Evidence map›Paper›PMID 25992382›Full record

ReviewAnnals of translational medicine2015

Prognostic and predictive value of MET deregulation in non-small cell lung cancer.

Giovanna Finocchiaro, Luca Toschi, Letizia Gianoncelli, Marina Baretti, Armando Santoro

Open access · greenAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

36 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Targeting MET in Non-Small Cell Lung Cancer (NSCLC): A New Old Story?International journal of molecular sciences · 2023
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors at 1 institution in 1 country.

Giovanna FinocchiaroDepartment of Medical Oncology, Department of Medical Oncology, Istituto Clinico Humanitas IRCCS, Rozzano, Milan, Italy.
Luca ToschiDepartment of Medical Oncology, Department of Medical Oncology, Istituto Clinico Humanitas IRCCS, Rozzano, Milan, Italy.
Letizia GianoncelliDepartment of Medical Oncology, Department of Medical Oncology, Istituto Clinico Humanitas IRCCS, Rozzano, Milan, Italy.
Marina BarettiDepartment of Medical Oncology, Department of Medical Oncology, Istituto Clinico Humanitas IRCCS, Rozzano, Milan, Italy.
Armando SantoroDepartment of Medical Oncology, Department of Medical Oncology, Istituto Clinico Humanitas IRCCS, Rozzano, Milan, Italy.
Fondazione Humanitas per la Ricerca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in cancer biology has led to the discovery of increasing number of oncogene alterations that have dramatically changed the paradigm of lung cancer treatment. MET is a tyrosine kinase receptor for the hepatocyte growth factor (HGF) that is deregulated in several malignancies, including non-small cell lung cancer (NSCLC). Abnormal MET-HGF signaling pathway activation can occur via different mechanisms, including HGF and/or MET overexpression, MET gene amplification, mutations or rearrangements. MET protein overexpression and increased MET gene number have been identified as poor prognostic factors in several series of surgically resected NSCLC making this receptor an attractive target for cancer treatment. Several clinical trials have recently evaluated the activity of a variety of anti-MET strategies in NSCLC patients with or without molecular selection with a variable degree of success, underscoring the need of establishing the best predictive biomarker for the identification of responding patients.

Indexed as

MET gene copy number (GCN)MET protein expressionnon-small cell lung cancer (NSCLC)predictiveprognostic

Identifiers

PMID25992382
PMCPMC4416957
OpenAlexW208286941

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.