Evidence map›Paper›PMID 34252359›Full record

ArticleBioengineered2021

Identification of potential micro-messenger RNAs (miRNA-mRNA) interaction network of osteosarcoma.

Keteng Xu, Pei Zhang, Jiale Zhang, Huahong Quan, Jingcheng Wang, Yuan Liang

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Review
  7. Article
  8. MiR-30 Family: A Novel Avenue for Treating Bone and Joint Diseases?International journal of medical sciences · 2023
    Review
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  10. Article
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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

6 authors at 3 institutions in 1 country.

Keteng XuDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China.
Pei ZhangDepartment of Orthopedics, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Hunan, China.
Jiale ZhangDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China.
Huahong QuanDepartment of Orthopedics, Dalian Medical University, Dalian, Liaoning, China.
Jingcheng WangDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-2926-3803
Yuan LiangDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNNorthern Jiangsu People's Hospital · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is the most common primary malignant tumor in children and adolescents. Numerous studies have reported the importance of miRNA in OS. The purpose of this study is to predict potential biomarkers and new therapeutic targets for OS diagnosis and prognosis by analyzing miRNAs of OS plasma samples from the Gene Expression Omnibus (GEO) database.Data-sets were downloaded from the GEO and analyzed using R software. Different expressions of miRNAs (DE-miRNAs) in plasma and mRNAs (DE-mRNAs) in OS patients were identified. Funrich was used to predict the transcription factors and target genes of miRNAs. By comparing the target mRNAs and DE-mRNAs, the intersection mRNAs were identified. The intersection mRNAs were imported to perform Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. MiRNA-mRNA regulatory network and a protein-protein interaction (PPI) network were constructed by using Cytoscape. Finally, a total of 164 DE-miRNAs, 256 DE-mRNAs, and 76 intersection mRNAs were identified. The top 10 TF of up- and down-regulated DE-miRNAs were also predicted. In addition, GO and KEGG analyses further revealed the intersection mRNAs. By constructing the miRNA-mRNA networks, we found miR-30d-5p, miR-17-5p, miR-98-5p, miR-301a-3p, and miR-30e-5p were the central hubs. COL1A1, COL1A2, MMP2, CDH11, COL4A1 etc. were predicted to be the key mRNA by constructing the PPI networks. Through a comprehensive bioinformatics analysis of miRNAs and mRNAs in OS, we explored the potential effective biomarkers and novel therapeutic targets for the diagnosis and prognosis of OS.

Indexed as

Bone NeoplasmsMicroRNAsOsteosarcomaGene Expression Regulation, NeoplasticHumansProtein Interaction MapsTranscriptomeMicroRNAsbioinformaticsdifferentially expressed genesfunctional enrichment analysisOsteosarcomaprotein–protein interaction

Identifiers

PMID34252359
PMCPMC8806609
OpenAlexW3179158757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.