Evidence map›Paper›PMID 33046735›Full record

ArticleScientific reports2020

Transcriptional characterization of conjunctival melanoma identifies the cellular tumor microenvironment and prognostic gene signatures.

Julian Wolf, Claudia Auw-Haedrich, Anja Schlecht, Stefaniya Boneva, Hans Mittelviefhaus, Thabo Lapp, Hansjürgen Agostini, Thomas Reinhard, Günther Schlunck, Clemens A K Lange

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Neutrophils in Ocular Diseases.International journal of molecular sciences · 2024
    Review
  6. Review
  7. Transcriptional Comparison of Human and Murine Retinal Neovascularization.Investigative ophthalmology & visual science · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Centromeric protein K (CENPK) promotes gastric cancer proliferation and migration via interacting with XRCC5.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
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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

10 authors at 2 institutions in 1 country.

Julian WolfEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Claudia Auw-HaedrichEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Anja SchlechtEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Stefaniya BonevaEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Hans MittelviefhausEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Thabo LappEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Hansjürgen AgostiniEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Thomas ReinhardEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Günther SchlunckEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany.
Clemens A K LangeEye Center, Medical Center, Faculty of Medicine, University of Freiburg, Killianstrasse 5, 79106, Freiburg, Germany. clemens.lange@uniklinik-freiburg.de.
University of Freiburg · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study characterizes the transcriptome and the cellular tumor microenvironment (TME) of conjunctival melanoma (CM) and identifies prognostically relevant biomarkers. 12 formalin-fixed and paraffin-embedded CM were analyzed by MACE RNA sequencing, including six cases each with good or poor clinical outcome, the latter being defined by local recurrence and/or systemic metastases. Eight healthy conjunctival specimens served as controls. The TME of CM, as determined by bioinformatic cell type enrichment analysis, was characterized by the enrichment of melanocytes, pericytes and especially various immune cell types, such as plasmacytoid dendritic cells, natural killer T cells, B cells and mast cells. Differentially expressed genes between CM and control were mainly involved in inhibition of apoptosis, proteolysis and response to growth factors. POU3F3, BIRC5 and 7 were among the top expressed genes associated with inhibition of apoptosis. 20 genes, among them CENPK, INHA, USP33, CASP3, SNORA73B, AAR2, SNRNP48 and GPN1, were identified as prognostically relevant factors reaching high classification accuracy (area under the curve: 1.0). The present study provides new insights into the TME and the transcriptional profile of CM and additionally identifies new prognostic biomarkers. These results add new diagnostic tools and may lead to new options of targeted therapy for CM.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overBiomarkers, TumorConjunctival NeoplasmsFemaleGene Expression ProfilingHumansMaleMelanomaMiddle AgedNeoplasm Recurrence, LocalPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID33046735
PMCPMC7550331
OpenAlexW3092425199

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.