Evidence map›Paper›PMID 39040115›Full record

ArticleFrontiers in immunology2024

A novel NKp80-based strategy for universal identification of normal, reactive and tumor/clonal natural killer-cells in blood.

F Javier Morán-Plata, Noemí Muñoz-García, María González-González, Julio Pozo, Sonia Carretero-Domínguez, Sheila Mateos, Susana Barrena, Moncef Belhassen-García, Catarina Lau, Maria Dos Anjos Teixeira and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

16 authors.

F Javier Morán-PlataTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Noemí Muñoz-GarcíaTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
María González-GonzálezTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Julio PozoTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Sonia Carretero-DomínguezTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Sheila MateosTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Susana BarrenaTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Moncef Belhassen-GarcíaDepartment of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain.
Catarina LauLaboratory of Cytometry, Unit for Hematology Diagnosis, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), Porto, Portugal.
Maria Dos Anjos TeixeiraLaboratory of Cytometry, Unit for Hematology Diagnosis, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), Porto, Portugal.
Ana Helena SantosLaboratory of Cytometry, Unit for Hematology Diagnosis, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), Porto, Portugal.
Ana YeguasDepartment of Hematology, University Hospital of Salamanca, Salamanca, Spain.
Ana BalanzateguiDepartment of Hematology, University Hospital of Salamanca, Salamanca, Spain.
Alejandro Martín García-SanchoTranslational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Alberto Orfao *Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.
Julia Almeida *Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca), and Department of Medicine, University of Salamanca, Salamanca, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Natural killer (NK) cells are traditionally identified by flow cytometry using a combination of markers (CD16/CD56/CD3), because a specific NK-cell marker is still missing. Here we investigated the utility of CD314, CD335 and NKp80, compared to CD16/CD56/CD3, for more robust identification of NK-cells in human blood, for diagnostic purposes. Methods: A total of 156 peripheral blood (PB) samples collected from healthy donors (HD) and patients with diseases frequently associated with loss/downregulation of classical NK-cell markers were immunophenotyped following EuroFlow protocols, aimed at comparing the staining profile of total blood NK-cells for CD314, CD335 and NKp80, and the performance of distinct marker combinations for their accurate identification. Results: NKp80 showed a superior performance (vs. CD314 and CD335) for the identification of NK-cells in HD blood. Besides, NKp80 improved the conventional CD16/CD56/CD3-based strategy to identify PB NK-cells in HD and reactive processes, particularly when combined with CD16 for further accurate NK-cell-subsetting. Although NKp80+CD16 improved the identification of clonal/tumor NK-cells, particularly among CD56 Conclusion: Here we propose a new robust approach for the identification of PB NK-cells, based on the combination of NKp80 plus CD16. However, in chronic lymphoproliferative disorders of NK-cells, addition of CD56 is recommended to identify clonal NK-cells, due to their frequent aberrant NKp80

Indexed as

ImmunophenotypingKiller Cells, NaturalAdolescentAdultAgedB7 AntigensBiomarkersFemaleFlow CytometryGPI-Linked ProteinsHumansLectins, C-TypeMaleMiddle AgedNeoplasmsReceptors, Natural Killer CellB7 AntigensBiomarkersGPI-Linked ProteinsKLRF1 protein, humanLectins, C-TypeNCR3LG1 protein, humanReceptors, Natural Killer CellCLPD-NK/NK-LGLLNK-cell clonalityNK-cell gating strategyNK-cell markersNK-cellsNKp80

Identifiers

PMID39040115
PMCPMC11260609

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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.