Evidence map›Paper›PMID 31012516›Full record

ArticleCancer science2019

Pattern of cell-to-cell transfer of microRNA by gap junction and its effect on the proliferation of glioma cells.

Yuexia Peng, Xiyan Wang, Yunquan Guo, Fuhua Peng, Ningze Zheng, Bo He, Hui Ge, Liang Tao, Qin Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.7field-weighted citation impact, top 15% 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, 33 citations in OpenAlex.

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  13. MicroRNA-3148 inhibits glioma by decreasingExperimental and therapeutic medicine · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Connexins-Therapeutic Targets in Cancers.International journal of molecular sciences · 2020
    Review
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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

9 authors at 2 institutions in 1 country.

Yuexia PengDepartment of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Xiyan WangTumor Research Institute, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China.
Yunquan GuoTumor Research Institute, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China.
Fuhua PengDepartment of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Ningze ZhengDepartment of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Bo HeDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Hui GeTumor Research Institute, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China.
Liang TaoDepartment of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-9740-3724
Qin WangDepartment of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Sun Yat-sen University · CNXinjiang Medical University · CN

Funding

Department of Science and Technology of Guangdong Province 20160908Guangdong Science and Technology Plan Projects 2013B022000050National Natural Science Foundation of China 81373439National Natural Science Foundation of China 81473234the Fundamental Research Funds for the Central Universities 16ykjc01the Joint Fund of the National Natural Science Foundation of China U1303221
6 · The paper itself

Abstract

MicroRNA is expected to be a novel therapeutic tool for tumors. Gap junctions facilitate the transfer of microRNA, which exerts biological effects on tumor cells. However, the length of microRNA that can pass through certain gap junctions composed of specific connexin remains unknown. To address this question, the present study investigated the permeability of gap junctions composed of various connexins, including connexin 43, connexin 32 or connexin 37, to microRNAs consisting of 18-27 nucleotides in glioma cells and cervical cancer cells. Results indicated that all of the microRNAs were able to be transferred from donor glioma cells to neighboring cells through the connexin 43 composed gap junction, but not the gap junctions composed of connexin 32 or connexin 37, in cervical cancer cells. Downregulation of the function of gap junctions comprising connexin 43 by pharmacological inhibition and shRNA significantly decreased the transfer of these microRNAs. In contrast, gap junction enhancers and overexpression of connexin 43 effectively increased these transfers. In glioma cells, cell proliferation was inhibited by microRNA-34a. Additionally, these effects of microRNA-34a were significantly enhanced by overexpression of connexin 43 in U251 cells, indicating that gap junctions play an important role in the antitumor effect of microRNA by transfer of microRNA to neighboring cells. Our data are the first to clarify the pattern of microRNA transmission through gap junctions and provide novel insights to show that antitumor microRNAs should be combined with connexin 43 or a connexin 43 enhancer, not connexin 32 or connexin 37, in order to improve the therapeutic effect.

Indexed as

Cell CommunicationCell Line, TumorCell Membrane PermeabilityCell ProliferationCoculture TechniquesConnexin 43ConnexinsGap Junction alpha-4 ProteinGap Junction beta-1 ProteinGap JunctionsGliomaHeLa CellsHumansMicroRNAsRNA InterferenceConnexin 43ConnexinsGap Junction alpha-4 ProteinGap Junction beta-1 ProteinMicroRNAsMIRN34 microRNA, humanconnexingap junctiongliomamicroRNAproliferation

Identifiers

PMID31012516
PMCPMC6549926
OpenAlexW2941987799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.