Evidence map›Paper›PMID 25815459›Full record

ReviewCancers2015

cMET in NSCLC: Can We Cut off the Head of the Hydra? From the Pathway to the Resistance.

Nele Van Der Steen, Patrick Pauwels, Ignacio Gil-Bazo, Eduardo Castañon, Luis Raez, Federico Cappuzzo, Christian Rolfo

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. TargetingCancers · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Correlation ofOncotarget · 2018
    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

7 authors at 5 institutions in 4 countries.

Nele Van Der SteenCenter for Oncological Research Antwerp, University of Antwerp, Universiteitsplein 1, Wilrijk 2610, Belgium. Nele.VanDerSteen@uantwerpen.be.
Patrick PauwelsCenter for Oncological Research Antwerp, University of Antwerp, Universiteitsplein 1, Wilrijk 2610, Belgium. Patrick.Pauwels@uza.be.
Ignacio Gil-BazoDepartment of Oncology, Clínica Universidad de Navarra, Pamplona 31008, Spain.
Eduardo CastañonDepartment of Oncology, Clínica Universidad de Navarra, Pamplona 31008, Spain. ecastanon@unav.es.
Luis RaezThoracic Oncology Program, Memorial Cancer Institute, Memorial Health Care System, Pembroke Pines, FL 33024, USA. lraez@mhs.net.
Federico CappuzzoMedical Oncology Department, Istituto Toscano Tumori, Ospedale Civile, Livorno, Italy viale Alfieri 36, Livorno 57100, Italy. f.cappuzzo@gmail.com.
Christian RolfoCenter for Oncological Research Antwerp, University of Antwerp, Universiteitsplein 1, Wilrijk 2610, Belgium. Christian.Rolfo@uza.be.
University of Antwerp · BEAntwerp University Hospital · BEClinica Universidad de Navarra · ESMemorial Health System · USOspedale di Livorno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, the tyrosine kinase receptor cMET, together with its ligand hepatocyte growth factor (HGF), has become a target in non-small cell lung cancer (NSCLC). Signalization via cMET stimulates several oncological processes amongst which are cell motility, invasion and metastasis. It also confers resistance against several currently used targeted therapies, e.g., epidermal growth factor receptor (EGFR) inhibitors. In this review, we will discuss the basic structure of cMET and the most important signaling pathways. We will also look into aberrations in the signaling and the effects thereof in cancer growth, with the focus on NSCLC. Finally, we will discuss the role of cMET as resistance mechanism.

Identifiers

PMID25815459
PMCPMC4491670
OpenAlexW2045299639

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.