Evidence map›Paper›PMID 38142460›Full record

ReviewStem cells translational medicine2024

Genetic Manipulation Approaches to Enhance the Clinical Application of NK Cell-Based Immunotherapy.

Andreia Maia, Mubin Tarannum, Rizwan Romee

Open access · goldAbstract readReview
In one paragraph

Review in Stem cells translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 28 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Andreia MaiaChampalimaud Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal.ORCID 0000-0002-7860-6219
Mubin TarannumDivision of Cellular Therapy and Stem Cell Transplant, Dana-Farber Cancer Institute, Harvard Medical School, MA, USA.
Rizwan RomeeDivision of Cellular Therapy and Stem Cell Transplant, Dana-Farber Cancer Institute, Harvard Medical School, MA, USA.
Harvard University · USChampalimaud Foundation · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer (NK) cells are a subset of cytotoxic lymphocytes within the innate immune system. While they are naturally cytotoxic, genetic modifications can enhance their tumor-targeting capability, cytotoxicity, persistence, tumor infiltration, and prevent exhaustion. These improvements hold the potential to make NK-cell-based immunotherapies more effective in clinical applications. Currently, several viral and non-viral technologies are used to genetically modify NK cells. For nucleic acid delivery, non-viral methods such as electroporation, lipid nanoparticles, lipofection, and DNA transposons have gained popularity in recent years. On the other hand, viral methods including lentivirus, gamma retrovirus, and adeno-associated virus, remain widely used for gene delivery. Furthermore, gene editing techniques such as clustered regularly interspaced short-palindromic repeats-based, zinc finger nucleases, and transcription activator-like effector nucleases are the pivotal methodologies in this field. This review aims to provide a comprehensive overview of chimeric antigen receptor (CAR) arming strategies and discuss key gene editing techniques. These approaches collectively aim to enhance NK cell/NK cell CAR-based immunotherapies for clinical translation.

Indexed as

NeoplasmsReceptors, Chimeric AntigenGene EditingHumansImmunotherapyKiller Cells, NaturalReceptors, Chimeric AntigenCAR-NK cellsCRISPRcytokine-induced memory-like NK cellsgene deliverygene editingimmunotherapynatural killer cells

Identifiers

PMID38142460
PMCPMC10940834
OpenAlexW4390165933

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.