Evidence map›Paper›PMID 31277149›Full record

ArticleMedicine2019

Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.

Xiaowu Zhong, Guangcheng Huang, Qiang Ma, Hebin Liao, Chang Liu, Wenjie Pu, Lei Xu, Yan Cai, Xiaolan Guo

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Xiaowu ZhongDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College.
Guangcheng HuangDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College.
Qiang MaDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College.
Hebin LiaoTranslational Medicine Research Center.
Chang LiuDepartment of Laboratory Medicine, North Sichuan Medical College, Nanchong, Sichuan, China.
Wenjie PuDepartment of Laboratory Medicine, North Sichuan Medical College, Nanchong, Sichuan, China.
Lei XuTranslational Medicine Research Center.
Yan CaiDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College.
Xiaolan GuoDepartment of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College.
Affiliated Hospital of North Sichuan Medical College · CNCenter for Translational Molecular Medicine · NLNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is a malignancy that severely threatens human health and carries a high incidence rate and a low 5-year survival rate. MicroRNAs (miRNAs) are commonly accepted as a key regulatory function in human cancer, but the potential regulatory mechanisms of miRNA-mRNA related to ESCC remain poorly understood.The GSE55857, GSE43732, and GSE6188 miRNA microarray datasets and the gene expression microarray datasets GSE70409, GSE29001, and GSE20347 were downloaded from Gene Expression Omnibus databases. The differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) were obtained using GEO2R. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network and functional modules were established using the STRING database and were visualized by Cytoscape. Kaplan-Meier analysis was constructed based on The Cancer Genome Atlas (TCGA) database.In total, 26 DEMs and 280 DEGs that consisted of 96 upregulated and 184 downregulated genes were screened out. A functional enrichment analysis showed that the DEGs were mainly enriched in the ECM-receptor interaction and cytochrome P450 metabolic pathways. In addition, MMP9, PCNA, TOP2A, MMP1, AURKA, MCM2, IVL, CYP2E1, SPRR3, FOS, FLG, TGM1, and CYP2C9 were considered to be hub genes owing to high degrees in the PPI network. MiR-183-5p was with the highest connectivity target genes in hub genes. FOS was predicted to be a common target gene of the significant DEMs. Hsa-miR-9-3p, hsa-miR-34c-3p and FOS were related to patient prognosis and higher expression of the transcripts were associated with a poor OS in patients with ESCC.Our study revealed the miRNA-mediated hub genes regulatory network as a model for predicting the molecular mechanism of ESCC. This may provide novel insights for unraveling the pathogenesis of ESCC.

Indexed as

Gene Expression Regulation, NeoplasticComputational BiologyDatabases, GeneticEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFilaggrin ProteinsGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMicroarray AnalysisMicroRNAsRNA, NeoplasmFilaggrin ProteinsFLG protein, humanMicroRNAsRNA, Neoplasm

Identifiers

PMID31277149
PMCPMC6635243
OpenAlexW2957025501

What OpenQuestion holds

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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.