Evidence map›Paper›PMID 39314886›Full record

ArticleMedComm2024

Feeder cell training shapes the phenotype and function of in vitro expanded natural killer cells.

Fei Gao, Mauricio Campos Mora, Michael Constantinides, Loïs Coënon, Caroline Multrier, Loïc Vaillant, Julien Peyroux, Tianxiang Zhang, Martin Villalba

Abstract read
In one paragraph

Article in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

9 authors.

Fei GaoIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.ORCID https://orcid.org/0000-0003-4856-0261
Mauricio Campos MoraIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.
Michael ConstantinidesIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.
Loïs CoënonIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.
Caroline MultrierIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.
Loïc VaillantIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.
Julien PeyrouxIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.
Tianxiang ZhangDepartment of Immunobiology Yale University School of Medicine New Haven Connecticut USA.
Martin VillalbaIRMB University of Montpellier INSERM CHR Montpellier Montpellier France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer (NK) cells are candidates for adoptive cell therapy, and the protocols for their activation and expansion profoundly influence their function and fate. The complexity of NK cell origin and feeder cell cues impacts the heterogeneity of expanded NK (eNK) cells. To explore this, we compared the phenotype and function of peripheral blood-derived NK (PB-NK) and umbilical cord blood-derived NK (UCB-NK) cells activated by common feeder cell lines, including K562, PLH, and 221.AEH. After first encounter, most PB-NK cells showed degranulation independently of cytokines production. Meanwhile, most UCB-NK cells did both. We observed that each feeder cell line uniquely influenced the activation, expansion, and ultimate fate of PB eNK and UCB eNK cells, determining whether they became cytokine producers or killer cells. In addition, they also affected the functional performance of NK cell subsets after expansion, that is, expanded conventional NK (ecNK) and expanded FcRγ

Indexed as

cytokine‐producingcytotoxicityexpanded conventional NK (ecNK) cellsexpanded FcRγ– NK (eg‐NK) cellsexpanded NK (eNK) cellsfeeder cells

Identifiers

PMID39314886
PMCPMC11417427

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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.