Evidence map›Paper›PMID 28586047›Full record

ArticleMolecular medicine reports2017

Identification and functional analysis of the risk microRNAs associated with cerebral low-grade glioma prognosis.

Xinrui Liu, Bin Song, Shanji Li, Nan Wang, Hongfa Yang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Review
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  6. Article
  7. MiR-326: Promising Biomarker for Cancer.Cancer management and research · 2019
    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

5 authors at 4 institutions in 1 country.

Xinrui LiuDepartment of Neurosurgical Oncology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Bin SongDepartment of Gastrointestinal Colorectal and Anal Surgery, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Shanji LiDepartment of Neurosurgical Oncology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Nan WangSecond Department of Neurosurgery, The First People's Hospital of Yibin, Yibin, Sichuan 644000, P.R. China.
Hongfa YangDepartment of Neurotrauma, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
First Hospital of Jilin University · CNJilin University · CNSecond People’s Hospital of Yibin · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-grade gliomas (LGGs) are associated with neurological disability. The present study used microRNA (miRNA) expression profiles to identify risk miRNAs for potential prognosis of cerebral LGGs. miRNA expression profiles and clinical data from 408 patients with cerebral LGGs were obtained from the Cancer Genome Atlas database. Risk miRNAs were identified by plotting Kaplan‑Meier curves and Cox proportional hazard regression analysis with the survival and KMsurv packages in R. A regulatory network of miRNA‑targets was constructed, followed by gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis using the Database for Annotation, Visualization and Integrated Discovery. A protein‑protein interaction (PPI) network of miRNA targets was built using Search Tool for the Retrieval of Interacting Genes software, and sub‑pathway identification was performed using the iSubpathwayMiner package in R. In total, 39 miRNAs had significant effect on survival curves. Following the Cox analysis and construction of miRNA‑targets regulatory network, hsa‑miRNA (miR)‑326 was identified to regulate 397 target genes. Additionally, targets of miR‑326 were primarily enriched in the GO terms of cell proliferation, epithelial growth factor receptor and nerve growth factor signaling pathways. Additionally, son of sevenless homolog 1 (SOS1), neuroblastoma RAS viral oncogene homolog (NRAS), vitamin D receptor (VDR) and mothers against decapentaplegic family member 3 (SMAD3) were most enriched in the PPI network. Targets of miR‑326 were primarily enriched in sub‑pathways including sphingolipid metabolism and arachidonic acid metabolism, in which sphingomyelin synthase 1 (SGMS1) and hematopoietic prostaglandin D synthase (HPGDS) were screened out. Hsa‑miR‑326 was identified as a risk miRNA for prognosis and may improve the outcome prediction of patients with cerebral LGG. This miRNA may regulate cancer cell proliferation by targeting SOS1, NRAS, VDR, SMAD3, SGMS1 and HPGDS.

Indexed as

Brain NeoplasmsGene Regulatory NetworksGliomaHumansMicroRNAsNeoplasm GradingPrognosisProtein Interaction MapsRisk FactorsSurvival AnalysisMicroRNAs

Identifiers

PMID28586047
PMCPMC5562009
OpenAlexW2623263773

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.