Evidence map›Paper›PMID 38248313›Full record

ReviewCurrent issues in molecular biology2023

Antitumor Immunity: Role of NK Cells and Extracellular Vesicles in Cancer Immunotherapy.

Angelina E Prokopeva, Charles C Emene, Marina O Gomzikova

Abstract readReview
In one paragraph

Review in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Angelina E ProkopevaLaboratory of Molecular Immunology, Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420111, Russia.
Charles C EmeneLaboratory of Intercellular Communication, Kazan Federal University, Kazan 420111, Russia.
Marina O GomzikovaLaboratory of Molecular Immunology, Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420111, Russia.ORCID 0000-0002-0826-7370

Funding

Russian Government Program "Recruitment of the Leading Scientists into the Russian Institu-tions of Higher Education" 075-15-2021-600
6 · The paper itself

Abstract

The immune system plays a crucial role in recognizing and eliminating altered tumor cells. However, tumors develop mechanisms to evade the body's natural immune defenses. Therefore, methods for specifically recognizing/targeting tumor cells, for instance, through the activation, directed polarization, and training of immune cells, have been developed based on the body's immune cells. This strategy has been termed cellular immunotherapy. One promising strategy for treating tumor diseases is NK cell-based immunotherapy. NK cells have the ability to recognize and destroy transformed cells without prior activation as well as tumor cells with reduced MHC-I expression. A novel approach in immunotherapy is the use of extracellular vesicles (EVs) derived from NK cells. The main advantages of NK cell-derived EVs are their small size and better tissue penetration into a tumor. The aim of this review is to systematically present existing information on the mechanisms of antitumor immunity and the role of NK cells and extracellular vesicles in cancer immunotherapy. Clinical and preclinical studies utilizing NK cells and extracellular vesicles for anticancer therapy currently underway will provide valuable insights for researchers in the field of cancer.

Indexed as

CAR-NK cellscellular immunotherapydestructionextracellular vesiclesimmune cellsimmune responseimmunotherapynatural killer cellsrecognitiontumor cells

Identifiers

PMID38248313
PMCPMC10814167

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.