Evidence map›Paper›PMID 39421705›Full record

ArticleContemporary oncology (Poznan, Poland)2024

The effects of tumor-derived exosomes enriched with miRNA-211a on B16F10 cells.

Mohammad Reza Atashzar, Mohammad Reza Ataollahi, Ali Ghanbari Asad, Parisa Doroudgar, Davar Amani

Abstract read
In one paragraph

Article in Contemporary oncology (Poznan, Poland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Mohammad Reza AtashzarDepartment of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Reza AtaollahiDepartment of Immunology, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Ali Ghanbari AsadDepartment of Medical Biotechnology, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Parisa DoroudgarDepartment of Oral Medicine, School of Dentistry, Tehran, University of Medical Sciences, Tehran, Iran.
Davar AmaniDepartment of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Exosomes have emerged as a novel alternative delivery system for transporting small molecules. Tumor-derived exosomes (TEXs) possess anti-cancer properties and serve as natural carriers of microRNAs. Using this knowledge as a foundation, the current study evaluated the efficacy of delivering a miR-211 mimic Material and methods: After exposing B16F10 cultured cells to serum-free media for 24 hours, we collected the supernatant. Subsequently, we purified the exosomes from the supernatant using a commercial kit. Scanning electron microscopy, transmission electron microscopy, dynamic light scattering, Western blot, and bicinchoninic acid protein assay were used to characterize exosomes. Following that, miR-211 mimic was loaded into exosomes (termed TEXomiR) Results: Our study showed that the exosomes can deliver miR-211 mimic efficiently. The treatment of B16F10 cells with miR-211-enriched TEX downregulated miR-211 target genes, including brain-specific homeobox, vascular endothelial growth factor, and transforming growth factor-β receptor. The results indicated the antiproliferative effect of TEXomiR as time-dose-dependent. The flow cytometry evaluation showed that TEXomiR could induce the apoptosis of B16F10 cells. Conclusions: Our data indicated that exosomes can be suitable carriers for miR-211 mimic. Moreover, TEXomiR

Indexed as

B16F10exosomemelanomamicrorna-211miRNA delivery

Identifiers

PMID39421705
PMCPMC11480909

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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.