Evidence map›Paper›PMID 29455657›Full record

ReviewMolecular cancer2018

Role of the HGF/c-MET tyrosine kinase inhibitors in metastasic melanoma.

Lucia Demkova, Lucia Kucerova

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 81 citations in OpenAlex.

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  6. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
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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

2 authors at 2 institutions in 1 country.

Lucia DemkovaLaboratory of Molecular Oncology, Cancer Research Institute, Biomedical Research Center of the Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovakia.
Lucia KucerovaLaboratory of Molecular Oncology, Cancer Research Institute, Biomedical Research Center of the Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovakia. lucia.kucerova@savba.sk.ORCID 0000-0002-6407-6659
Cancer Research Institute of the Slovak Academy of Sciences · SKSlovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic disease in a cancer patient still remains a therapeutic challenge. Metastatic process involves many steps, during which malignant cells succeed to activate cellular pathways promoting survival in hostile environment, engraftment and growth at the distant site from the primary tumor. Melanoma is known for its high propensity to produce metastases even at the early stages of the disease. Here we summarize the most important molecular mechanisms which were associated with the melanoma metastasis. Then, we specifically focus on the signaling pathway mediated by hepatocyte growth factor (HGF) and its receptor c-Met, which play an important role during physiological processes and were been associated with tumorigenesis. We also focus on the effect of the small molecule inhibitors of the tyrosine kinase domain of the c-Met receptor and its effects on properties of melanoma cell. We summarize recent studies, which involved inhibition of the HGF/c-Met signaling in order to decrease melanoma growth and metastatic capacity.

Indexed as

AnimalsCell Line, TumorEnzyme InhibitorsHepatocyte Growth FactorHumansMelanomaNeoplasm MetastasisProto-Oncogene Proteins c-metSignal TransductionEnzyme InhibitorsHepatocyte Growth FactorProto-Oncogene Proteins c-metA375 Human malignant melanoma cell line.C-met receptorHepatocyte growth factorMalignant melanomaMetastasisTyrosine kinase inhibitors

Identifiers

PMID29455657
PMCPMC5817811
OpenAlexW2794935863

What Socratic holds

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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 Socratic graph.