Evidence map›Paper›PMID 34373366›Full record

ReviewMolecules and cells2021

iPSC-Derived Natural Killer Cells for Cancer Immunotherapy.

Peter Karagiannis, Shin-Il Kim

Open access · diamondAbstract readReview
In one paragraph

Review in Molecules and cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
4.3field-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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. The Dual Role of Natural Killer Cells in the Septic Liver.Journal of inflammation research · 2026
    Review
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  7. The Application of iPSCs in Tumour Immunotherapy.Expert reviews in molecular medicine · 2025
    Review
  8. Review
  9. Killing the killers: Natural killer cell therapy targeting glioma stem cells in high-grade glioma.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    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

2 authors at 1 institution in 1 country.

Peter KaragiannisCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.
Shin-Il KimResearch and Development Center, THERABEST, Co., Ltd., Seoul 06656, Korea.ORCID https://orcid.org/0000-0002-7350-0087
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of human pluripotent stem cells (PSCs) at the turn of the century opened the door to a new generation of regenerative medicine research. Among PSCs, the donors available for induced pluripotent stem cells (iPSCs) are greatest, providing a potentially universal cell source for all types of cell therapies including cancer immunotherapies using natural killer (NK cells). Unlike primary NK cells, those prepared from iPSCs can be prepared with a homogeneous quality and are easily modified to exert a desired response to tumor cells. There already exist several protocols to genetically modify and differentiate iPSCs into NK cells, and each has its own advantages with regards to immunotherapies. In this short review, we detail the benefits of using iPSCs in NK cell immunotherapies and discuss the challenges that must be overcome before this approach becomes mainstream in the clinic.

Indexed as

ImmunotherapyAnimalsCell DifferentiationGenetic EngineeringHumansInduced Pluripotent Stem CellsKiller Cells, NaturalNeoplasmsadoptive immunotherapydirected differentiationgenome editinginduced pluripotent stem cellsnatural killer cells

Identifiers

PMID34373366
PMCPMC8424143
OpenAlexW3187510447

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.