Evidence map›Paper›PMID 40655896›Full record

ReviewClinical & translational immunology2025

Engineered iPSC-derived natural killer cells: recent innovations in translational innate anti-cancer immunotherapy.

Jane Sun, Melissa Elliott, Fernando Souza-Fonseca-Guimaraes

Abstract readReview
In one paragraph

Review in Clinical & translational immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
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  8. Article
  9. From Pluripotency to Patients: Making Induced pluripotent stem cell (iPSC) Therapies Safer.International journal of molecular and cellular medicine · 2025
    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

3 authors.

Jane SunFrazer Institute, Faculty of Health, Medicine and Behavioural Sciences The University of Queensland Brisbane QLD Australia.
Melissa ElliottFrazer Institute, Faculty of Health, Medicine and Behavioural Sciences The University of Queensland Brisbane QLD Australia.
Fernando Souza-Fonseca-GuimaraesFrazer Institute, Faculty of Health, Medicine and Behavioural Sciences The University of Queensland Brisbane QLD Australia.ORCID https://orcid.org/0000-0002-2037-8946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer (NK) cells are increasingly recognised as potent tumoricidal agents that can be utilised for cancer immunotherapy. Their innate cytotoxicity against tumor cells, and reduced risk of causing transplantation or toxicity issues in patients, makes them a valuable option for exploration in allogeneic adoptive cell immunotherapies. However, sourcing NK cells from peripheral blood poses challenges in terms of scalability, consistency and variability. Induced pluripotent stem cells (iPSCs) are emerging as a platform to create specific cells with highly controlled processes, allowing for a common cell source for cell therapies and offering a promising inexhaustible source of genetically modifiable NK cells. This review highlights recent developments in the field of generating iPSC-derived NK cells in defined culture systems, and advancements in genetic modification to improve iPSC-NK cell therapy. We further discuss the development of iPSC banks and examine the potential of these cells in next-generation immunotherapies. Finally, we summarise the improvements in cancer targeting, expansion, persistence and cytotoxic functionality of iPSC-derived NK (iNK) cells both

Indexed as

adoptive cell therapiesgene editingNK cellspluripotent stem cellstumoricidal immune responsesuniversal cell sources

Identifiers

PMID40655896
PMCPMC12246386

What OpenQuestion holds

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LicenceCC BY-NC
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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.