Evidence map›Paper›PMID 22968732›Full record

ReviewDer Pathologe2012

[Translational research and diagnostics of melanoma].

J Rüschoff, M Kleinschmidt, P Middel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. The miRNAs Role in Melanoma and in Its Resistance to Therapy.International journal of molecular sciences · 2020
    Review
  2. 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

3 authors at 1 institution in 1 country.

J RüschoffInstitut für Pathologie Nordhessen, Germaniastr. 7, 34119 Kassel. rueschoff@patho-nordhessen.de
M Kleinschmidt
P Middel
Institute for Advanced Study in the Humanities Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although early stage malignant melanoma (MM) has a favorable prognosis five year survival rate is poor (<10%) in patients suffering from distant metastases. Due to molecular typing of MM recently high response rates were achieved in metastatic MM by using specific inhibitors directed against the mutated form of BRAF kinase, e.g. Vemurafinib and Dabrafinib. Therefore BRAF mutation analysis has become standard of care in advanced MM and pathologists are urged to provide a quality guaranteed molecular diagnostics. However, squamous neoplasias (e. g., keratoacanthomas) and recurrences of MM mostly within 6 months during targeted therapy point to the need of further translational research. Thus new drugs, such as MEK inhibitors, based on the MAP-kinase pathway downstream of BRAF have already effectively been used. Finally, the impact of molecular characteristics in different subtypes of MM (acral, mucosal, uveal) will be discussed with respect to their specific mutational spectrum (e.g. cKIT , NRAS , GNAQ).

Indexed as

Translational Research, BiomedicalAntineoplastic AgentsDisease-Free SurvivalDNA Mutational AnalysisFemaleGene Expression Regulation, NeoplasticGTP-Binding Protein alpha SubunitsGTP-Binding Protein alpha Subunits, Gq-G11GTP PhosphohydrolasesHumansImidazolesIndolesMaleMelanomaMembrane ProteinsMolecular Targeted TherapyAntineoplastic AgentsBRAF protein, humandabrafenibGNAQ protein, humanGTP-Binding Protein alpha SubunitsGTP-Binding Protein alpha Subunits, Gq-G11GTP PhosphohydrolasesImidazolesIndolesMembrane ProteinsNRAS protein, humanOximesProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-kitSulfonamidesVemurafenib

Identifiers

PMID22968732
OpenAlexW1009074911

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.