Evidence map›Paper›PMID 31672842›Full record

ReviewCancer research2020

Natural Killer Cell-Derived Vesicular miRNAs: A New Anticancer Approach?

Muller Fabbri

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Natural killer cells in the central nervous system.Cell communication and signaling : CCS · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. miRNAs in NK Cell-Based Immune Responses and Cancer Immunotherapy.Frontiers in cell and developmental biology · 2020
    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

1 author at 1 institution in 1 country.

Muller FabbriUniversity of Hawai'i Cancer Center, Cancer Biology Program, University of Hawai'i at Manoa, Honolulu, Hawaii. mfabbri@cc.hawaii.edu.ORCID 0000-0002-8797-4793
University of Hawaiʻi at Mānoa · US

Funding

Role of microRNAs released by Tumor Associated Macrophages within Exosomes in the chemoresistance of NeuroblastomaR01CA215753 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FABBRI, MULLER · 2017 to 2021
$1.7M
Clinical Significance and Mechanism of Action of Exosomal microRNAs in Neuroblastoma chemoresistanceR01CA219024 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FABBRI, MULLER · 2018 to 2022
$1.7M
NCI NIH HHS R01 CA215753NCI NIH HHS R01 CA219024
6 · The paper itself

Abstract

Natural killer (NK) cells are cytotoxic lymphocytes targeting virus-infected cells and cancer cells. Specific pro- and antikilling signals modulate the overall ability of NK cells to kill cancer cells, however, several immune-escape mechanisms can be enacted by cancer cells to avoid NK-mediated killing. Recently, increasing evidence has shown that extracellular vesicles (EV) released by NK cells carry proteins and miRNAs able to exert an antitumoral effect, even within a highly immune-suppressive tumor microenvironment. These recent findings suggest a possible use of NK-derived EVs as anticancer agents and propel the development of new strategies to enrich EVs with the most effective anticancer cargo as a promising new anticancer approach.

Indexed as

Clinical Trials as TopicCytokine Release SyndromeExtracellular VesiclesHumansImmunotherapyKiller Cells, NaturalMicroRNAsNeoplasmsTransplantation, HomologousTreatment OutcomeTumor EscapeTumor MicroenvironmentMicroRNAs

Identifiers

PMID31672842
PMCPMC6942618
OpenAlexW2984959219

What OpenQuestion holds

Textmetadata
LicenceTDM
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.