Evidence map›Paper›PMID 30890511›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Bioinformatics analysis of expression and function of EXD3 gene in gastric cancer].

Dengzhong Sun, Mulin Liu, Fuxin Huang, Fuxin Huang

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 74% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Dengzhong SunDepartment of Gastrointestinal Surgery, Bengbu Medical College, Bengbu 233003, China.
Mulin LiuDepartment of Gastrointestinal Surgery, Bengbu Medical College, Bengbu 233003, China.
Fuxin HuangFirst Affiliated Hospital, Department of Biological Sciences, Bengbu Medical College, Bengbu 233003, China.
Fuxin HuangFirst Affiliated Hospital, Department of Biological Sciences, Bengbu Medical College, Bengbu 233003, China.
Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the differentially expressed genes between gastric cancer and normal gastric mucosa by bioinformatics analysis, identify the important gene participating in the occurrence and progression of gastric cancer, and predict the functions of these genes.

methodsThe gene expression microarray data GSE100935 (including 18 gastric cancer samples and normal gastric mucosal tissues) downloaded from the GEO expression profile database were analyzed using Morpheus to obtain the differentially expressed genes in gastric cancer, and a cluster analysis heat map was constructed. The online database UALCAN was used to obtain the expression levels of these differentially expressed genes in gastric cancer and normal gastric mucosa. The prognostic value of the differentially expressed genes in gastric cancer was evaluated with Kaplan-Meier survival analysis. GO functional enrichment analysis was performed using Fun-Rich software, and the STRING database was exploited to establish a PPI network for the differentially expressed genes.

resultsA total of 45119 differentially expressed genes were identified from GSE100935 microarray data. Analysis with UALCAN showed an obvious high expression of EXD3 gene in gastric cancer, and survival analysis suggested that a high expression level of EXD3 was associated with a poorer prognosis of the patients with gastric cancer. GO functional enrichment analysis found that the differentially expressed genes in gastric cancer were involved mainly in the regulation of nucleotide metabolism and the activity of transcription factors in the cancer cells.

conclusionsEXD3 may be a potential oncogene in gastric cancer possibly in relation to DNA damage repair. The up-regulation of EXD3 plays an important role in the development and prognosis of gastric cancer, and may serve as an important indicator for prognostic evaluation of the patients.

Indexed as

Computational BiologyGene Expression Regulation, NeoplasticDatabases, GeneticExonucleasesGastric MucosaGene Expression ProfilingHumansNeoplasm ProteinsPrognosisStomach NeoplasmsExonucleasesNeoplasm Proteinsbioinformatics analysisEXD3gastric cancerprognosis

Identifiers

PMID30890511
PMCPMC6765637
OpenAlexW2991505125

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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.