Evidence map›Paper›PMID 34853803›Full record

ArticleMolecular therapy. Methods & clinical development2021

piggyBac system to co-express NKG2D CAR and IL-15 to augment the

Zhicheng Du, Yu Yang Ng, Shijun Zha, Shu Wang

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

62 citing papers in PubMed, 84 citations in OpenAlex.

  1. Review
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  11. Intraperitoneal infusion of NKG2D CAR-NK cells induces endogenous CD8Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  12. Review
  13. Strategic innovations: Tackling challenges of immunotherapy in acute myeloid leukemia.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  14. Review
  15. Article
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  18. Empowering Natural Killer Cells to Combat Acute Myeloid Leukemia: Perspective on CAR-NK Cell Therapy.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2025
    Review
  19. Does a natural killer need a CAR?Frontiers in immunology · 2025
    Review
  20. Review

2 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Zhicheng DuDepartment of Biological Sciences, National University of Singapore, 117543 Singapore, Singapore.
Yu Yang NgDepartment of Biological Sciences, National University of Singapore, 117543 Singapore, Singapore.
Shijun ZhaDepartment of Biological Sciences, National University of Singapore, 117543 Singapore, Singapore.
Shu WangDepartment of Biological Sciences, National University of Singapore, 117543 Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promising progress has been made in adoptive transfer of allogeneic natural killer (NK) cells to treat relapsed or refractory acute myeloid leukemia (AML). In this regard, chimeric antigen receptor (CAR)-modification of NK cells is considered as a compelling approach to augment the specificity and cytotoxicity of NK cells against AML. Using a non-viral piggyBac transposon technology and human peripheral blood-derived primary NK cells, we generated CAR-NK cells to target NKG2D ligands and demonstrated their

Indexed as

acute myeloid leukemiaIL-15K562 APCsNKG2D CAR-NK cellsPiggyBac transposon

Identifiers

PMID34853803
PMCPMC8609108
OpenAlexW3209071057

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.