Evidence map›Paper›PMID 40092294›Full record

ArticleMolecular therapy. Oncology2024

Genetically stable multi-gene edited iPSCs-derived NK cells for enhanced cancer immunotherapy.

Daekee Kwon, Bo Kyung Moon, Mijung Han, Tae-Wook Lee, Jeehan Lee, Kyung-Sun Kang

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2024. 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. Review
  3. Review
  4. Review
  5. Challenges and opportunities of human iPSC-derived NK as "Off-the-shelf" cellular therapies.Journal of experimental & clinical cancer research : CR · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. 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

6 authors.

Daekee KwonResearch Institute, Maru Therapeutics Co., Ltd., B-1209, Mstate, 114, Beobwon-ro, Songpa-gu, Seoul 05854, South Korea.
Bo Kyung MoonResearch Institute, Maru Therapeutics Co., Ltd., B-1209, Mstate, 114, Beobwon-ro, Songpa-gu, Seoul 05854, South Korea.
Mijung HanResearch Institute, Maru Therapeutics Co., Ltd., B-1209, Mstate, 114, Beobwon-ro, Songpa-gu, Seoul 05854, South Korea.
Tae-Wook LeeResearch Institute, Maru Therapeutics Co., Ltd., B-1209, Mstate, 114, Beobwon-ro, Songpa-gu, Seoul 05854, South Korea.
Jeehan LeeResearch Institute, Maru Therapeutics Co., Ltd., B-1209, Mstate, 114, Beobwon-ro, Songpa-gu, Seoul 05854, South Korea.
Kyung-Sun KangAdult Stem Cell Research Center, College of Veterinary Medicine, Seoul National University, Seoul 08826, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-T cell treatment is an innovative drug with excellent therapeutic effects against B cell blood cancer. However, multiple side effects and ultra-high treatment costs must be overcome. Off-the-shelf CAR natural killer (NK) cells can be a good alternative to patient-specific CAR-T cells. The purpose of this study was to combine cellular reprogramming, gene editing, and differentiation technologies to produce full-off-the-shelf NK cells and to verify their efficacy and safety. Genetically stable universal and potent CAR (upCAR)-induced pluripotent stem cells (iPSCs) showed biallelic insertions and deletions in the coding sequence and no off-target effects. upCAR-NK cells showed a very high differentiation yield and

Indexed as

chimeric antigen receptorimmune checkpointimmune rejectioninduced pluripotent stem cellsMT: Regular Issuemultiplex gene editingNatural killer cellsoff-the-shelf

Identifiers

PMID40092294
PMCPMC11907209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.