Evidence map›Paper›PMID 36352275›Full record

ArticleNeurochemical research2022

Identification of the miR-423-3p/VLDLR Regulatory Network for Glioma Using Transcriptome Analysis.

Ying Song, Huili Jiao, Qirui Lin, Xiaoyun Zhang, Xiao Chen, Zhiqiang Wei, Li Yi

Abstract read
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Article in Neurochemical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Ying SongDepartment of Clinical Medicine, Weifang Medical University, Weifang, China.
Huili JiaoDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Qirui LinDepartment of Hepatobiliary Surgery, Peking University Shenzhen Hospital, Shenzhen, China.
Xiaoyun ZhangDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Xiao ChenDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Zhiqiang WeiDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Li YiDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China. yilitj@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most prevalent primary CNS tumor, glioma is characterized by high mortality and morbidity. This research aims to investigate glioma-associated microRNAs (miRNAs) and their target mRNAs, as well as to explore their biological functions in gliomas. The Gene Expression Omnibus (GEO) database was applied to acquire the GSE112264 miRNA microarray dataset and the GSE15824 mRNA dataset. We selected samples from the GSE112264 dataset and the GSE15824 to identify differently expressed miRNAs (DE-miRNAs) as well as differentially expressed mRNAs (DEGs), respectively. Next, the intersections of mRNA and target mRNAs of miRNA were selected, and we constructed miRNA-mRNA regulation networks. These DEGs were selected for Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses by conducting the package clusterProfiler. After conducting Cytoscape software, a protein-protein interaction (PPI) network was created. Next, survival analysis of the miR-423-3p was confirmed by conducting TCGA database. Subsequently, Quantitative real-time PCR (qRT-PCR) was conducted to verify miR-423-3p's expression. Finally, miR-423-3p's biological functions of in effecting the cell proliferative, migratory, and invasive capabilities of glioma were investigated by performing Cell Counting Kit-8 (CCK-8) and Transwell assays. Our analysis elucidated a novel miRNA-mRNA regulatory network related to glioma carcinogenesis, which may be considered as future therapeutic biomarkers for glioma.

Indexed as

GliomaMicroRNAsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansReceptors, LDLRNA, MessengerTranscriptomeMicroRNAsMIRN423 microRNA, humanReceptors, LDLRNA, MessengerVLDL receptorBioinformatics analysisDEGsDE-mRNAsGEOGliomamicroRNAs

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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.