Evidence map›Paper›PMID 30569116›Full record

ArticleMolecular medicine reports2019

Expression of miR‑542‑3p in osteosarcoma with miRNA microarray data, and its potential signaling pathways.

Zhen Li, Jian-Ni Yao, Wen-Ting Huang, Rong-Quan He, Jie Ma, Gang Chen, Qing-Jun Wei

Open access · hybridAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Zhen LiDepartment of Orthopedic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Jian-Ni YaoFirst Clinical Medical College of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Wen-Ting HuangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Rong-Quan HeDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Jie MaDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Qing-Jun WeiDepartment of Orthopedic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is the most common pediatric primary bone tumor, with high malignancy rates and a poor prognosis following metastasis. At present, the role of microRNA (miR)‑542‑3p in OS remains to be elucidated. The purpose of the present study was to investigate the expression level of miR‑542‑3p in OS, and its potential molecular mechanisms, via a bioinformatics analysis. First, the expression of miR‑542‑3p in OS based on the continuous variables of the Gene Expression Omnibus database and PubMed was studied. Subsequently, the potential target genes of miR‑542‑3p were predicted using gene expression profiles and bioinformatics software. On the basis of the Database for Annotation, Visualization and Integrated Discovery, version 6.8, a study of gene ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway knowledge base was conducted to explore the biological value of miR‑542‑3p in OS. Finally, the protein‑protein interaction (PPI) network was completed using the STRING database. The expression of miR‑542‑3p in OS was revealed to be significantly higher compared with that in normal tissue. In total, 1,036 target genes of miR‑542‑3p were obtained. The results of the GO enrichment analysis revealed that the significant terms were 'bone development', 'cell cycle arrest' and 'intracellular signal transduction'. The results of the KEGG analysis revealed the highlighted pathways that were targeted to miR‑542‑3p, including the sphingolipid signaling pathway (P=3.91x10‑5), the phosphoinositide 3‑kinase (PI3K)‑AKT serine/threonine kinase (AKT) signaling pathway (P=3.17x10‑5) and the insulin signaling pathway (P=1.04x10‑5). The PPI network revealed eight hub genes: Ubiquitin‑60S ribosomal protein L40, Ras‑related C3 botulinum toxin substrate, mitogen‑activated protein kinase 1, epidermal growth factor receptor, cystic fibrosis transmembrane conductance regulator, PI3K regulatory subunit 1, AKT1, and actin‑related protein 2/3 complex subunit 1A, which may be the key target genes of miR‑542‑3p in OS. Taken together, these results have demonstrated that miR‑542‑3p was overexpressed in OS. The potential target genes and biological functions of miR‑542‑3p may provide novel insights into the differentially expressed genes that are involved in OS.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksBone NeoplasmsDatabases, GeneticGene Expression ProfilingGene OntologyHumansInsulinMicroRNAsMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisOsteosarcomaPhosphatidylinositol 3-KinasesProtein Interaction MappingProto-Oncogene Proteins c-aktSignal TransductionInsulinMicroRNAsMIRN542 microRNA, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSphingolipidsmicroarray datamicroRNA-542-3posteosarcomaprotein-protein interactionsignaling pathways

Identifiers

PMID30569116
PMCPMC6323234
OpenAlexW2904105795

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.