Evidence map›Paper›PMID 30872676›Full record

ArticleScientific reports2019

Circulating CD56

Kaat de Jonge, Anna Ebering, Sina Nassiri, Hélène Maby-El Hajjami, Hajer Ouertatani-Sakouhi, Petra Baumgaertner, Daniel E Speiser

Open access · goldAbstract readClinical Trial, Phase I
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

52 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. NKG2A inhibition promotes NK cell-CD8Nature communications · 2026
    Article
  5. Review
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  7. Article
  8. Article
  9. Application of adoptive cell therapy in malignant melanoma.Journal of translational medicine · 2025
    Review
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  11. Article
  12. Review
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  14. Article
  15. Review
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  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

7 authors at 3 institutions in 1 country.

Kaat de JongeDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland.ORCID 0000-0003-2306-5555
Anna EberingDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland.
Sina NassiriDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland.
Hélène Maby-El HajjamiDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland.ORCID 0000-0002-5786-5991
Hajer Ouertatani-SakouhiDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland.
Petra BaumgaertnerDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland.
Daniel E SpeiserDepartment of Fundamental Oncology, University of Lausanne, Epalinges, Switzerland. doc@dspeiser.ch.
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The roles of NK cells in human melanoma remain only partially understood. We characterized NK cells from peripheral blood ex vivo by flow cytometry obtained from late stage (III/IV) melanoma patients. Interestingly, we found that the abundance of CD56

Indexed as

Biomarkers, TumorCase-Control StudiesCD56 AntigenFemaleFlow CytometryGranulocyte-Macrophage Colony-Stimulating FactorHumansInterferon-gammaKiller Cells, NaturalMaleMelanomaNeoplasm MetastasisNeoplasm StagingPhenotypeRegression AnalysisSurvival AnalysisBiomarkers, TumorCD56 AntigenCSF2 protein, humanGranulocyte-Macrophage Colony-Stimulating FactorIFNG protein, humanInterferon-gamma

Identifiers

PMID30872676
PMCPMC6418246
OpenAlexW2921231285

What OpenQuestion 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 OpenQuestion graph.