Evidence map›Paper›PMID 34050690›Full record

ReviewCancer science2021

CAR-NK cell in cancer immunotherapy; A promising frontier.

Faroogh Marofi, Omar F Abdul-Rasheed, Heshu Sulaiman Rahman, Hendrik Setia Budi, Abduladheem Turki Jalil, Alexei Valerievich Yumashev, Ali Hassanzadeh, Mahboubeh Yazdanifar, Roza Motavalli, Max Stanley Chartrand and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 145 citations in OpenAlex.

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  16. Tumor-educated cells in tumor microenvironment: Key drivers of immunotherapy resistance.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
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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

13 authors at 9 institutions in 7 countries.

Faroogh MarofiImmunology Research Center (IRC), Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0002-8110-7808
Omar F Abdul-RasheedDepartment of Chemistry and Biochemistry, College of Medicine, Al-Nahrain University, Baghdad, Iraq.
Heshu Sulaiman RahmanDepartment of Physiology, College of Medicine, University of Suleimanyah, Suleimanyah, Iraq.
Hendrik Setia BudiDepartment of Oral Biology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Abduladheem Turki JalilFaculty of Biology and Ecology, Yanka Kupala State University of Grodno, Grodno, Belarus.ORCID https://orcid.org/0000-0001-8403-7465
Alexei Valerievich YumashevSechenov First Moscow State Medical University, Moscow, Russia.
Ali HassanzadehDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mahboubeh YazdanifarDepartment of Pediatrics, Stem Cell Transplantation and Regenerative Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Roza MotavalliStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Max Stanley ChartrandDigiCare Behavioral Research, Casa Grande, AZ, USA.
Majid AhmadiStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Angel Cid-ArreguidTargeted Tumor Vaccines Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mostafa JarahianGerman Cancer Research Center, Toxicology and Chemotherapy Unit (G401), Heidelberg, Germany.
Tabriz University of Medical Sciences · IRGerman Cancer Research Center · DEAirlangga University · IDNahrain University · IQSechenov University · RUStanford University · USTehran University of Medical Sciences · IRUniversity of Sulaimani · IQYanka Kupala State University of Grodno · BY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptors (CARs) have a unique facet of synthetic biology and offer a paradigm shift in personalized medicine as they can use and redirect the patient's immune cells to attack cancer cells. CAR-natural killer (NK) cells combine the targeted specificity of antigens with the subsequent intracellular signaling ability of the receptors to increase their anti-cancer functions. Importantly, CAR-NK cells can be utilized as universal cell-based therapy without requiring human leukocyte antigen (HLA) matching or earlier contact with tumor-associated antigens (TAAs). Indeed, CAR-NK cells can be adapted to recognize various antigens, hold higher proliferation capacity, and in vivo persistence, show improved infiltration into the tumors, and the ability to overcome the resistant tumor microenvironment leading to sustained cytotoxicity against tumors. Accumulating evidence from recent in vivo studies rendering CAR-NK cell anti-cancer competencies renewed the attention in the context of cancer immunotherapy, as these redirected effector cells can be used in the development of the "off-the-shelf" anti-cancer immunotherapeutic products. In the current review, we focus on the therapeutic efficacy of CAR-NK cell therapies for treating various human malignancies, including hematological malignancies and solid tumors, and will discuss the recent findings in this regard, with a special focus on animal studies.

Indexed as

AnimalsAntigens, NeoplasmCell- and Tissue-Based TherapyGenetic EngineeringGenetic VectorsHematologic NeoplasmsHumansImmunotherapy, AdoptiveKiller Cells, NaturalMiceReceptors, Chimeric AntigenTreatment OutcomeTumor MicroenvironmentXenograft Model Antitumor AssaysAntigens, NeoplasmReceptors, Chimeric AntigencancerCAR-NKchimeric antigen receptorsimmunotherapynatural killer cells

Identifiers

PMID34050690
PMCPMC8409419
OpenAlexW3165201392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.