Evidence map›Paper›PMID 31545491›Full record

ArticleMolecular medicine reports2019

Long non‑coding RNA MEG3 suppresses the growth of glioma cells by regulating the miR‑96‑5p/MTSS1 signaling pathway.

Shoudan Zhang, Wenshi Guo

Abstract read
In one paragraph

Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

2 authors.

Shoudan ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning 121001, P.R. China.
Wenshi GuoDepartment of Neurosurgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning 121001, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is one of the most common types of tumor of the central nervous system with high mobility and mortality. The prognosis of patients with high‑grade glioma is poor. Therefore, it is urgent to develop the therapeutic strategies for the treatment of glioma. Long non‑coding RNAs (lncRNAs) have been reported as potential inducers or suppressors of numerous types of tumors including glioma. Previous studies have revealed that lncRNA maternally expressed gene 3 (MEG3) is involved in the initiation and progression of cancer; however, the underlying mechanisms remain unclear. In the present study, MEG3 was downregulated in glioma tissue. In addition, downregulation of MEG3 was observed in human glioma cell lines compared with normal astrocyte cells. Furthermore, overexpressed MEG3 inhibited the proliferation, migration and invasion of glioma cells. Additionally, microRNA‑96‑5p (miR‑96‑5p) was a promising target of MEG3, and the promoting effects of miR‑96‑5p on cell growth and metastasis could be reversed by upregulated MEG3. Metastasis suppressor 1 (MTSS1) was predicted as the putative target of miR‑96‑5p, and its expression was restored by MEG3. In summary, the present data provided novel insight into the roles of MEG3 in glioma, and MEG3/miR‑96‑5p/MTSS1 signaling could be a promising therapeutic target for the treatment of patients with glioma.

Indexed as

Gene Expression Regulation, NeoplasticSignal Transduction3' Untranslated RegionsAdultBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationGliomaHumansMicrofilament ProteinsMicroRNAsMiddle AgedNeoplasm ProteinsPrognosisRNA Interference3' Untranslated RegionsBiomarkers, TumorMEG3 non-coding RNA, humanMicrofilament ProteinsMicroRNAsMIRN96 microRNA, humanMTSS1 protein, humanNeoplasm ProteinsRNA, Long Noncoding

Identifiers

PMID31545491
PMCPMC6797954

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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.