Evidence map›Paper›PMID 39996727›Full record

ArticleCells2025

In Vitro Evaluation of Genetically Unmodified Ligand-Armed Allogeneic Natural Killer Cells to Treat EGFR-Positive Glioblastoma.

Hortense Courot, Emilie Rigal, Nawfel Adib, Marc Criton, Alan Cookson, Bénédicte Fauvel, Jessy Presumey

Abstract read
In one paragraph

Article in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

Hortense CourotCYTEA BIO, 34790 Montpellier, France.ORCID 0000-0001-8661-9557
Emilie RigalCYTEA BIO, 34790 Montpellier, France.
Nawfel AdibCYTEA BIO, 34790 Montpellier, France.ORCID 0000-0002-6229-1160
Marc CritonCYTEA BIO, 34790 Montpellier, France.
Alan CooksonMedXCell, 1820 Montreux, Switzerland.
Bénédicte FauvelCYTEA BIO, 34790 Montpellier, France.ORCID 0000-0003-1166-8391
Jessy PresumeyCYTEA BIO, 34790 Montpellier, France.

Funding

Bpifrance DOS0151440TTM factory of the SATT AxLR 22/0165
6 · The paper itself

Abstract

Glioblastomas (GBMs) are lethal brain tumors in which EGFR gene amplification or mutation is frequently detected and is associated with poor prognosis. The standard of care is maximal resection followed by chemotherapy and radiation. Over the last twenty years, marginal improvements in patient survival have been achieved mainly through surgical techniques and the more accurate use of radiation. In this study, umbilical cord blood-derived and expanded human allogeneic natural killer (eNK) cells were pre-complexed to an Fc-engineered anti-EGFR monoclonal antibody (Pin-EGFR) to create Pin-EGFR-armed eNK cells. Pin-EGFR-armed eNK cells showed in vitro persistence of mAb anchoring. This arming process mediated specific, rapid and potent NK cell-redirected cytotoxicity against GBM cell lines and patient-derived cells in models consistent with the pathophysiological conditions of GBM. These results demonstrate the potential of Pin-EGFR-armed eNK cells to be an effective therapy against GBM cell lines in vitro. This product represents a promising strategy to directly target residual tumor tissue remaining at and beyond the resection margins immediately following GBM surgery to improve patient care.

Indexed as

Allogeneic CellsBrain NeoplasmsErbB ReceptorsGlioblastomaKiller Cells, NaturalAntibodies, MonoclonalCell Line, TumorHumansLigandsAntibodies, MonoclonalEGFR protein, humanErbB ReceptorsLigandsEGFRFc-engineered antibodiesglioblastomanatural killer cells

Identifiers

PMID39996727
PMCPMC11854314

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.