ArticleMolecular medicine reports2017
Identification and functional analysis of the risk microRNAs associated with cerebral low-grade glioma prognosis.
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.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- HERV2365 upregulates FGF1 expression by sponging miR-326 to promote the progression of intrahepatic cholangiocarcinoma.iScience · 2026Article
- Comprehensive analysis of the clinical and biological significances of polyamine metabolism in glioma.Discover oncology · 2025Article
- MiR-326: Role and significance in brain cancers.Non-coding RNA research · 2025Review
- Article
- HPGDS is a novel prognostic marker associated with lipid metabolism and aggressiveness in lung adenocarcinoma.Frontiers in oncology · 2022Article
- Variability in porcine microRNA genes and its association with mRNA expression and lipid phenotypes.Genetics, selection, evolution : GSE · 2021Article
- MiR-326: Promising Biomarker for Cancer.Cancer management and research · 2019Review
- miR-152-3p Sensitizes Glioblastoma Cells Towards Cisplatin Via Regulation Of SOS1.OncoTargets and therapy · 2019Article
- CALR mutational status identifies different disease subtypes of essential thrombocythemia showing distinct expression profiles.Blood cancer journal · 2017Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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