Evidence map›Paper›PMID 34943898›Full record

ReviewCells2021

NK Cells Armed with Chimeric Antigen Receptors (CAR): Roadblocks to Successful Development.

Ali Bashiri Dezfouli, Mina Yazdi, Alan Graham Pockley, Mohammad Khosravi, Sebastian Kobold, Ernst Wagner, Gabriele Multhoff

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 46 citations in OpenAlex.

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  18. High yield killing of lymphoma cells by anti-CD22 CAR-NK cell therapy.In vitro cellular & developmental biology. Animal · 2024
    Article
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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

7 authors at 5 institutions in 3 countries.

Ali Bashiri DezfouliCentral Institute for Translational Cancer Research Technische Universität München (TranslaTUM), Department of Radiation Oncology, Klinikum Rechts der Isar, Einstein Str. 25, 81675 Munich, Germany.
Mina YazdiPharmaceutical Biotechnology, Department of Pharmacy, Ludwig-Maximilians-Universität (LMU), 81377 Munich, Germany.
Alan Graham PockleyJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0001-9593-6431
Mohammad KhosraviDepartment of Pathobiology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz 61357-831351, Iran.ORCID 0000-0001-9510-3464
Sebastian KoboldCenter of Integrated Protein Science Munich (CIPS-M) and Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, Ludwig-Maximilians-Universität München, Member of the German Center for Lung Research (DZL), 80337 Munich, Germany.ORCID 0000-0002-5612-4673
Ernst WagnerPharmaceutical Biotechnology, Department of Pharmacy, Ludwig-Maximilians-Universität (LMU), 81377 Munich, Germany.ORCID 0000-0001-8413-0934
Gabriele MulthoffCentral Institute for Translational Cancer Research Technische Universität München (TranslaTUM), Department of Radiation Oncology, Klinikum Rechts der Isar, Einstein Str. 25, 81675 Munich, Germany.
Ludwig-Maximilians-Universität München · DETUM Klinikum · DECenter for Integrated Protein Science Munich · DENottingham Trent University · GBShahid Chamran University of Ahvaz · IR

Funding

Alexander von Humboldt Foundation 001BMBF M4 awardDeutsche Forschungsgemeinschaft SFB824DFG TRR 338/1Elite Network Bavaria 409510ERC 756017EU 955575German Academic Exchange Service 001
6 · The paper itself

Abstract

In recent years, cell-based immunotherapies have demonstrated promising results in the treatment of cancer. Chimeric antigen receptors (CARs) arm effector cells with a weapon for targeting tumor antigens, licensing engineered cells to recognize and kill cancer cells. The quality of the CAR-antigen interaction strongly depends on the selected tumor antigen and its expression density on cancer cells. CD19 CAR-engineered T cells approved by the Food and Drug Administration have been most frequently applied in the treatment of hematological malignancies. Clinical challenges in their application primarily include cytokine release syndrome, neurological symptoms, severe inflammatory responses, and/or other off-target effects most likely mediated by cytotoxic T cells. As a consequence, there remains a significant medical need for more potent technology platforms leveraging cell-based approaches with enhanced safety profiles. A promising population that has been advanced is the natural killer (NK) cell, which can also be engineered with CARs. NK cells which belong to the innate arm of the immune system recognize and kill virally infected cells as well as (stressed) cancer cells in a major histocompatibility complex I independent manner. NK cells play an important role in the host's immune defense against cancer due to their specialized lytic mechanisms which include death receptor (i.e., Fas)/death receptor ligand (i.e., Fas ligand) and granzyme B/perforin-mediated apoptosis, and antibody-dependent cellular cytotoxicity, as well as their immunoregulatory potential via cytokine/chemokine release. To develop and implement a highly effective CAR NK cell-based therapy with low side effects, the following three principles which are specifically addressed in this review have to be considered: unique target selection, well-designed CAR, and optimized gene delivery.

Indexed as

AnimalsElectroporationHumansKiller Cells, NaturalMicrofluidicsModels, BiologicalProtein EngineeringReceptors, Chimeric AntigenReceptors, Chimeric Antigenchimeric antigen receptorgene deliveryimmunotherapynatural killer cellstumor antigen

Identifiers

PMID34943898
PMCPMC8699535
OpenAlexW3217808407

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.