Evidence map›Paper›PMID 27471565›Full record

ArticleJournal of Cancer2016

Magnetofection Based on Superparamagnetic Iron Oxide Nanoparticles Weakens Glioma Stem Cell Proliferation and Invasion by Mediating High Expression of MicroRNA-374a.

Zhiguang Pan, Zhifeng Shi, Hua Wei, Fengyan Sun, Jianping Song, Yongyi Huang, Te Liu, Ying Mao

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Review
  5. The important role of miR-1-3p in cancers.Journal of translational medicine · 2023
    Review
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  20. Superparamagnetic iron oxide nanoparticle-mediated expression ofInternational journal of nanomedicine · 2019
    Article
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

8 authors at 2 institutions in 1 country.

Zhiguang Pan1. Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China;
Zhifeng Shi1. Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China;
Hua Wei1. Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China;
Fengyan Sun2. Department of Neurobiology, School of Basic Medical Sciences and Research Center of Aging Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China;
Jianping Song1. Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China;
Yongyi Huang3. Laboratoire PROTEE, Bâtiment R, Université du Sud Toulon-Var, 83957 LA GARDE Cedex, France.
Te Liu4. Shanghai Geriatric Institute of Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200031, China.; 5. Shanghai Tenth People's Hospital, Medical School, Tongji University, Shanghai 200072, China.
Ying Mao1. Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China;
Huashan Hospital · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma stem cells belong to a special subpopulation of glioma cells that are characterized by strong proliferation, invasion and drug resistance capabilities. Magnetic nanoparticles are nanoscale biological materials with magnetic properties. In this study, CD133(+) primary glioma stem cells were isolated from patients and cultured. Then, magnetic nanoparticles were used to mediate the transfection and expression of a microRNA-374a overexpression plasmid in the glioma stem cells. Transmission electron microscopy detected the presence of significant magnetic nanoparticle substances within the CD133(+) glioma stem cells after transfection. The qRT-PCR and Northern blot results showed that the magnetic nanoparticles could be used to achieve the transfection of the microRNA-374a overexpression plasmid into glioma stem cells and the efficient expression of mature microRNA-374a. The MTT and flow cytometry results showed that the proliferation inhibition rate was significantly higher in cells from the microRNA-374a transfection group than in cells from the microRNA-mut transfection group; additionally, the former cells presented significant cell cycle arrest. The Transwell experiments confirmed that the overexpression of microRNA-374a could significantly reduce the invasiveness of CD133(+) glioma stem cells. Moreover, the high expression of microRNA-374a mediated by the magnetic nanoparticles effectively reduced the tumourigenicity of CD133(+) glioma stem cells in nude mice. The luciferase assays revealed that mature microRNA-374a fragments could bind to the 3'UTR of Neuritin (NRN1), thereby interfering with Neuritin mRNA expression. The qRT-PCR and Western blotting results showed that the overexpression of microRNA-374a significantly reduced the expression of genes such as NRN1, CCND1, CDK4 and Ki67 in glioma stem cells. Thus, magnetic nanoparticles can efficiently mediate the transfection and expression of microRNA expression plasmids in mammalian cells. The overexpression of microRNA-374a can effectively silence NRN1 expression, thereby inhibiting the proliferation, invasion and in vivo tumourigenicity of human glioma stem cells.

Indexed as

Glioma stem cells (GSCs)Magnetofection based on superparamagnetic iron oxide nanoparticles (SPIONs)microRNA-374a (miR-374a)Neuritin (NRN1)Proliferation and invasion.

Identifiers

PMID27471565
PMCPMC4964133
OpenAlexW2463864228

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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.