Evidence map›Paper›PMID 25760063›Full record

ArticleMolecular medicine reports2015

Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer.

Xiao-Li Zhou, Jun-Hua Wu, Xin-Juan Wang, Fu-Jun Guo

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  6. Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  7. 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

4 authors at 2 institutions in 1 country.

Xiao-Li ZhouDepartment of Stomatology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Jun-Hua WuDepartment of Prosthodontics, School of Stomatology, Tongji University, Shanghai 200072, P.R. China.
Xin-Juan WangDepartment of Stomatology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
Fu-Jun GuoDepartment of Stomatology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China.
First Affiliated Hospital of Henan University of Science and Technology · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tongue squamous cell carcinoma (TSCC) is a rare and aggressive type of cancer, which is associated with a poor prognosis. Identification of patients at high risk of TSCC tumorigenesis may provide information for the early detection of metastases, and for potential treatment strategies. MicroRNA (miRNA; miR) and mRNA expression profiling of TSCC tissue samples and normal control tissue samples were obtained from three Gene Expression Omnibus (GEO) data series. Bioinformatics analyses, including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with miRNA-associated TSCC oncology. A total of 25 miRNAs and 769 mRNAs were differentially expressed in the two groups assessed, and all the differentially expressed miRNA and mRNA target interactions were analyzed. The miRNA target genes were predominantly associated with 38 GO terms and 13 pathways. Of the genes differentially expressed between the two groups, and confirmed in another GEO series, miRNA-494, miRNA-96, miRNA-183, runt-related transcription factor 1, programmed cell death protein 4 and membrane-associated guanylate kinase were the most significantly altered, and may be central in the regulation of TSCC. Bioinformatics may be used to analyze large quantities of data in microarrays through rigorous experimental planning, statistical analysis and the collection of complete data on TSCC. In the present study, a novel differential miRNA-mRNA expression network was constructed, and further investigation may provide novel targets for the diagnosis of TSCC.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksApoptosis Regulatory ProteinsCarcinoma, Squamous CellCase-Control StudiesCore Binding Factor Alpha 2 SubunitGene Expression ProfilingGene OntologyGuanylate KinasesHumansMicroRNAsOligonucleotide Array Sequence AnalysisRNA-Binding ProteinsRNA, MessengerTongue NeoplasmsApoptosis Regulatory ProteinsCore Binding Factor Alpha 2 SubunitGuanylate KinasesMicroRNAsMIRN183 microRNA, humanMIRN494 microRNA, humanMIRN96 microRNA, humanPDCD4 protein, humanRNA-Binding ProteinsRNA, MessengerRUNX1 protein, human

Identifiers

PMID25760063
PMCPMC4438953
OpenAlexW2003882956

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LicenceCC BY
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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.