Evidence map›Paper›PMID 40480218›Full record

ReviewStem cell reports2025

Engineering the next generation of allogeneic CAR cells: iPSCs as a scalable and editable platform.

Ying Fang, Yuning Chen, Yan-Ruide Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  4. Engineering Immune Cell to Counteract Aging and Aging-Associated Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

3 authors.

Ying FangDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yuning ChenDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yan-Ruide LiDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: charlie.li@ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past five years, allogeneic off-the-shelf CAR-engineered cell therapies have advanced rapidly. By bypassing the individualized manufacturing, high cost, and eligibility constraints of autologous products, allogeneic platforms, especially those derived from induced pluripotent stem cells (iPSCs), promise broader, faster access for cancer patients. This perspective reviews recent preclinical and clinical milestones, outlining genetic designs, scalable production workflows, and early-phase trial outcomes. We assess safety profiles, antitumor activity, and in vivo persistence, spotlighting innovations like T cell receptor alpha constant (TRAC) knockout, human leukocyte antigen (HLA) camouflage, and interleukin (IL)-15 armoring. Finally, we identify emerging trends and challenges that will shape the future development of allogeneic iPSC-derived CAR therapies.

Indexed as

Allogeneic CellsCell EngineeringImmunotherapy, AdoptiveInduced Pluripotent Stem CellsReceptors, Chimeric AntigenAnimalsHumansNeoplasmsReceptors, Chimeric Antigenallogeneic cell therapycancerCARchimeric antigen receptorclinical trialsCRISPRimmunotherapyinduced pluripotent stem celliPSC

Identifiers

PMID40480218
PMCPMC12277817

What OpenQuestion holds

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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.