Evidence map›Paper›PMID 29568201›Full record

ArticleWorld journal of gastroenterology2018

Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.

Cheng Zhang, Chun-Dong Zhang, Ming-Hui Ma, Dong-Qiu Dai

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  3. MicroRNA biomarkers and their use in evaluating the prognosis of lung cancer.Journal of cancer research and clinical oncology · 2023
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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

4 authors at 1 institution in 1 country.

Cheng ZhangDepartment of Gastroenterological Surgery, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, Liaoning Province, China.
Chun-Dong ZhangDepartment of Gastroenterological Surgery, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, Liaoning Province, China.
Ming-Hui MaDepartment of Gastroenterological Surgery, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, Liaoning Province, China.
Dong-Qiu DaiDepartment of Gastroenterological Surgery, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, Liaoning Province, China. daidq63@163.com.
Fourth Affiliated Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify multiple microRNAs (miRNAs) for predicting the prognosis of gastric cancer (GC) patients by bioinformatics analysis.

methodsThe original microarray dataset GSE93415, which included 20 GC and 20 tumor adjacent normal gastric mucosal tissues, was downloaded from the Gene Expression Omnibus database and used for screening differentially expressed miRNAs (DEMs). The cut-off criteria were

resultsA total of 110 DEMs including 19 up-regulated and 91 down-regulated miRNAs were identified between 20 pairs of GC and tumor adjacent normal tissues, and the Kaplan-Meier survival analysis found that a three-miRNA signature (miR-145-3p, miR-125b-5p, and miR-99a-5p) had an obvious correlation with the survival of GC patients. Furthermore, univariate and multivariate Cox regression analyses indicated that the three-miRNA signature could be a significant prognostic marker in GC patients. The common target genes of the three miRNAs are added up to 108 and used for Gene Functional Enrichment analysis. Biological Process and Molecular Function analyses showed that the target genes are involved in cell recognition, gene silencing and nucleic acid binding, transcription factor activity, and transmembrane receptor activity. Cellular Component analysis revealed that the genes are portion of nucleus, chromatin silencing complex, and TORC1/2 complex. Biological Pathway analysis indicated that the genes participate in several cancer-related pathways, such as the focal adhesion, PI3K, and mTOR signaling pathways.

conclusionThis study justified that a three-miRNA signature could play a role in predicting the survival of GC patients.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorComputational BiologyDatasets as TopicDown-RegulationFemaleFocal AdhesionsGene Expression ProfilingHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedPhosphatidylinositol 3-KinasesPrognosisSignal TransductionBiomarkers, TumorMicroRNAsMTOR protein, humanPhosphatidylinositol 3-KinasesTOR Serine-Threonine KinasesBioinformatic analysisDifferentially expressed miRNAsGastric cancerGene functional enrichmentPrognosis

Identifiers

PMID29568201
PMCPMC5859223
OpenAlexW2792537105

What OpenQuestion holds

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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.