Evidence map›Paper›PMID 26628860›Full record

ReviewTranslational oncogenomics2015

c-Met as a Target for Personalized Therapy.

Ingrid Garajová, Elisa Giovannetti, Guido Biasco, Godefridus J Peters

Open access · greenAbstract readReview
In one paragraph

Review in Translational oncogenomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 2% 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

80 citing papers in PubMed, 3 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Tepotinib in Non-Small-Cell Lung Cancer withThe New England journal of medicine · 2020
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. A Synopsis of Biomarkers in Glioblastoma: Past and Present.Current issues in molecular biology · 2024
    Review
  13. Review
  14. TargetingCancers · 2023
    Review
  15. Article
  16. ETS-1/c-Met drives resistance to sorafenib in hepatocellular carcinoma.American journal of translational research · 2023
    Article
  17. [Research Progresses in the Treatment of NSCLC with MET Gene Variants: A Riview].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022
    Review
  18. Review
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Ingrid GarajováDepartment of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands. ; Department of Experimental, Diagnostic and Speciality Medicine, University of Bologna, Sant'Orsola-Malpighi Hospital, Bologna, Italy.
Elisa GiovannettiDepartment of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands. ; Cancer Pharmacology Lab, AIRC Start-Up Unit, University of Pisa, Pisa, Italy.
Guido BiascoDepartment of Experimental, Diagnostic and Speciality Medicine, University of Bologna, Sant'Orsola-Malpighi Hospital, Bologna, Italy.
Godefridus J PetersDepartment of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Amsterdam UMC Location VUmc · NLUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MET and its ligand HGF are involved in many biological processes, both physiological and pathological, making this signaling pathway an attractive therapeutic target in oncology. Downstream signaling effects are transmitted via mitogen-activated protein kinase (MAPK), PI3K (phosphoinositide 3-kinase protein kinase B)/AKT, signal transducer and activator of transcription proteins (STAT), and nuclear factor-κB. The final output of the terminal effector components of these pathways is activation of cytoplasmic and nuclear processes leading to increases in cell proliferation, survival, mobilization and invasive capacity. In addition to its role as an oncogenic driver, increasing evidence implicates MET as a common mechanism of resistance to targeted therapies including EGFR and VEGFR inhibitors. In the present review, we summarize the current knowledge on the role of the HGF-MET signaling pathway in cancer and its therapeutic targeting (HGF activation inhibitors, HGF inhibitors, MET antagonists and selective/nonselective MET kinase inhibitors). Recent advances in understanding the role of this pathway in the resistance to current anticancer strategies used in lung, kidney and pancreatic cancer are discussed.

Indexed as

drug resistanceHGFMETNSCLCpancreatic cancerrenal cancertargeted therapy

Identifiers

PMID26628860
PMCPMC4659440
OpenAlexW2177389390

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.