Evidence map›Paper›PMID 28380455›Full record

ArticleOncotarget2017

Targeted next generation sequencing of mucosal melanomas identifies frequent NF1 and RAS mutations.

Ioana Cosgarea, Selma Ugurel, Antje Sucker, Elisabeth Livingstone, Lisa Zimmer, Mirjana Ziemer, Jochen Utikal, Peter Mohr, Christiane Pfeiffer, Claudia Pföhler and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 85 citations in OpenAlex.

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  9. Multimodal treatment and immune checkpoint inhibition in sinonasal mucosal melanoma: real-world data of a retrospective, single-center study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
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  12. Next-generation sequencing in dermatology.Frontiers in medicine · 2023
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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

15 authors at 6 institutions in 1 country.

Ioana CosgareaDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Selma UgurelDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Antje SuckerDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Elisabeth LivingstoneDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Lisa ZimmerDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Mirjana ZiemerDepartment of Dermatology, Venereology and Allergology, University Hospital Leipzig, Germany.
Jochen UtikalSkin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany.
Peter MohrDepartment of Dermatology, Elbe Klinikum Buxtehude, Buxtehude, Germany.
Christiane PfeifferDepartment of Dermatology, Klinikum Augsburg, Augsburg, Germany.
Claudia PföhlerDepartment of Dermatology, Saarland University Medical School, Homburg/Saar, Germany.
Uwe HillenDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Susanne HornDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Dirk SchadendorfDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Klaus G GriewankDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
Alexander RoeschDepartment of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), University of Duisburg-Essen, Duisburg/Essen, Germany.
University of Duisburg-Essen · DEElbe Kliniken Stade-Buxtehude · DESaarland University · DEUniversity Hospital Augsburg · DEUniversity Hospital Heidelberg · DEUniversity Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMucosal melanoma represents ~1% of all melanomas, frequently having a poor prognosis due to diagnosis at a late stage of disease. Mucosal melanoma differs from cutaneous melanoma not only in terms of poorer clinical outcome but also on the molecular level having e.g. less BRAF and more frequent KIT mutations than cutaneous melanomas. For the majority of mucosal melanomas oncogenic driver mutations remain unknown. EXPERIMENTAL DESIGN AND

resultsIn our study, 75 tumor tissues from patients diagnosed with mucosal melanoma were analyzed, applying a targeted next generation sequencing panel covering 29 known recurrently mutated genes in melanoma. NF1 and RAS mutations were identified as the most frequently mutated genes occurring in 18.3% and 16.9% of samples, respectively. Mutations in BRAF were identified in 8.4% and KIT in 7.0% of tumor samples.

conclusionsOur study identifies NF1 as the most frequently occurring driver mutation in mucosal melanoma. RAS alterations, consisting of NRAS and KRAS mutations, were the second most frequent mutation type. BRAF and KIT mutations were rare with frequencies below 10% each. Our data indicate that in mucosal melanomas RAS/NF1 alterations are frequent, implying a significant pathogenetic role for MAPK and potentially PI3K pathway activation in these tumors.

Indexed as

MutationAdultAgedAged, 80 and overBase SequenceFemaleGene FrequencyGenetic Predisposition to DiseaseGTP PhosphohydrolasesHigh-Throughput Nucleotide SequencingHumansMaleMelanomaMembrane ProteinsMiddle AgedMucous MembraneGTP PhosphohydrolasesKRAS protein, humanMembrane ProteinsNeurofibromin 1NRAS protein, humanProto-Oncogene Proteins p21(ras)melanomamucosal melanomaNF1RASsequencing

Identifiers

PMID28380455
PMCPMC5522195
OpenAlexW2599676348

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Registered trials

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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.