Evidence map›Paper›PMID 21102609›Full record

ReviewNature reviews. Molecular cell biology2010

MET signalling: principles and functions in development, organ regeneration and cancer.

Livio Trusolino, Andrea Bertotti, Paolo M Comoglio

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 630 papers.

0numbers the graph read from it
0cells of the map it votes in
630citing papers in PubMed
36.1field-weighted citation impact, top 1% 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

630 citing papers in PubMed, 1,220 citations in OpenAlex.

  1. Cell plasticity in cancer and therapy resistance.Experimental & molecular medicine · 2026
    Review
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  8. Transcriptional divergence of the zebrafishbioRxiv : the preprint server for biology · 2026
    Article
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  12. Met regulates endoderm migration in zebrafish.bioRxiv : the preprint server for biology · 2026
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

570 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

3 authors at 2 institutions in 1 country.

Livio TrusolinoInstitute for Cancer Research and Treatment (IRCC), University of Torino Medical School, 10060 Candiolo, Torino, Italy. livio.trusolino@ircc.it
Andrea Bertotti
Paolo M Comoglio
Candiolo Cancer Institute · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MET tyrosine kinase receptor (also known as the HGF receptor) promotes tissue remodelling, which underlies developmental morphogenesis, wound repair, organ homeostasis and cancer metastasis, by integrating growth, survival and migration cues in response to environmental stimuli or cell-autonomous perturbations. The versatility of MET-mediated biological responses is sustained by qualitative and quantitative signal modulation. Qualitative mechanisms include the engagement of dedicated signal transducers and the subcellular compartmentalization of MET signalling pathways, whereas quantitative regulation involves MET partnering with adaptor amplifiers or being degraded through the shedding of its extracellular domain or through intracellular ubiquitylation. Controlled activation of MET signalling can be exploited in regenerative medicine, whereas MET inhibition might slow down tumour progression.

Indexed as

AnimalsAnimal StructuresGrowth and DevelopmentHumansModels, BiologicalModels, MolecularNeoplasmsProto-Oncogene Proteins c-metRegenerationSignal TransductionProto-Oncogene Proteins c-met

Identifiers

PMID21102609
OpenAlexW2069421644

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.