Evidence map›Paper›PMID 24093889›Full record

ArticleEuropean journal of medical research2013

Screening of key genes in gastric cancer with DNA microarray analysis.

Yong Jin, Wei Da

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in European journal of medical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-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, 17 citations in OpenAlex.

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  13. Microarray analysis in gastric cancer: a review.World journal of gastroenterology · 2014
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Yong JinDepartment of gastroenterology, The 6th People's Hospital affiliated to Shanghai Jiaotong University, No, 600 Yishan Road, Shanghai 200233, China. d_a_w_e_i@hotmail.com.
Wei Da
Shanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify key genes and novel potential therapeutic targets related to gastric cancer (GC) by comparing cancer tissue samples and healthy control samples using DNA microarray analysis.

methodsMicroarray data set GSE19804 was downloaded from Gene Expression Omnibus. Preprocessing and differential analysis were conducted with of R statistical software packages, and a number of differentially expressed genes (DEGs) were obtained. Cluster analysis was also done with gene expression values. Functional enrichment analysis was performed for all the DEGs with DAVID tools. The significantly up- and downregulated genes were selected out and their interactors were retrieved with STRING and HitPredict, followed by construction of networks. For all the genes in the two networks, GeneCodis was chosen for gene function annotation.

resultsA total of 638 DEGs were identified, and we found that SPP1 and FABP4 were the markedly up- and downregulated genes, respectively. Cell cycle and regulation of proliferation were the most significantly overrepresented functional terms in up- and downregulated genes. In addition, extracellular matrix-receptor interaction was found to be significant in the SPP1-included interaction network.

conclusionsA range of DEGs were obtained for GC. These genes not only provided insights into the pathogenesis of GC but also could develop into biomarkers for diagnosis or treatment.

Indexed as

Genetic TestingOligonucleotide Array Sequence AnalysisCluster AnalysisDown-RegulationFatty Acid-Binding ProteinsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenes, NeoplasmHumansMolecular Sequence AnnotationOsteopontinStomach NeoplasmsFABP4 protein, humanFatty Acid-Binding ProteinsOsteopontinSPP1 protein, human

Identifiers

PMID24093889
PMCPMC3852022
OpenAlexW2165536336

What OpenQuestion holds

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LicenceCC BY
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.