Evidence map›Paper›PMID 30095598›Full record

ArticleMelanoma research2018

Molecular profiling of Spitz nevi identified by digital RNA counting.

Lisa M Hillen, Milan S Geybels, Dorit Rennspiess, Ivelina Spassova, Cathrin Ritter, Jürgen C Becker, Marjan Garmyn, Axel Zur Hausen, Joost Van den Oord, Véronique Winnepenninckx

Open access · hybridAbstract read
In one paragraph

Article in Melanoma research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

10 authors at 4 institutions in 4 countries.

Lisa M HillenDepartment of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center.
Milan S GeybelsDepartment of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
Dorit RennspiessDepartment of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center.
Ivelina SpassovaDepartment for Translational Dermato-Oncology, Center for Medical Biotechnology, University Hospital Essen, Essen, Germany.
Cathrin RitterDepartment for Translational Dermato-Oncology, Center for Medical Biotechnology, University Hospital Essen, Essen, Germany.
Jürgen C BeckerDepartment for Translational Dermato-Oncology, Center for Medical Biotechnology, University Hospital Essen, Essen, Germany.
Marjan GarmynLaboratory of Dermatology, Department of Oncology and Dermatology, University Hospitals Leuven, University of Leuven, Leuven, Belgium.
Axel Zur HausenDepartment of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center.
Joost Van den OordLeuven Belgium and Laboratory Translational Cell and Tissue Research, Department of Pathology.
Véronique WinnepenninckxDepartment of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center.
Essen University Hospital · DEUniversity Medical Center · USMaastricht University · NLKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular properties of benign melanocytic lesions are poorly understood. Only a few studies have been carried out on specific nevi subtypes, including common nevocellular nevi (NCN) or Spitz nevi (SN). Genomic alterations in melanoma-associated oncogenes are typically absent in SN. In the present study, mRNA expressions of 25 SN and 15 NCN were analyzed. Molecular profiling was performed using the RNA NanoString nCounter Gene Expression Platform (number of genes=770). Marker discovery was performed with a training set consisting of seven SN and seven NCN samples from the same patients, and validation was performed using a second set consisting of 18 SN and eight NCN samples. Using the training set, 197 differentially expressed genes were identified in SN versus NCN. Of these, 74 genes were validated in the validation set (false discovery rate q≤0.13). In addition, using random forest and least absolute shrinkage and selection operator feature selection, a molecular signature of SN versus NCN was identified including 15 top-ranked genes. The present study identified a distinct molecular expression profile in SN compared with NCN, even when lesions were obtained from the same patients. Gene set analysis showed upregulation of gene pathways with increased expression of transcripts related to immunomodulatory, inflammatory, and extracellular matrix interactions as well as angiogenesis-associated processes in SN. These findings strongly indicate that SN represent a distinct group of melanocytic neoplasms and evolve differentially and not sequentially from NCN.

Indexed as

AdolescentAdultFemaleHumansMaleMiddle AgedNevus, Epithelioid and Spindle CellRNASkin NeoplasmsYoung AdultRNA

Identifiers

PMID30095598
PMCPMC6221391
OpenAlexW2886602238

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.