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Identification of Acute Pancreatitis-Related Genes and Pathways by Integrated Bioinformatics Analysis

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Abstract

Background and Aims

The present study aimed to identify the differential expressed genes that are related to acute pancreatitis.

Methods

Microarray datasets GSE109227 and GSE3644 were downloaded from the public database and analyzed to screen the genes. Afterward, integrated analysis of these genes were performed, including gene ontology and pathway enrichment analysis, protein–protein interaction network construction, expression level evaluation in human organs, relevant miRNAs and TFs prediction, and prognosis values of hub genes in pancreatic carcinoma.

Results

A total number of 93 differential expressed genes were screened from the datasets, and EGFR, CDH1, ACTB, CD44, and VCL were identified as hub DEGs. Functional enrichment analysis demonstrated that these genes were mostly enriched in biological processes such as cell adhesion, platelet aggregation, glycoprotein binding, and also involved in multiple pathways included adherent junction, proteoglycans in cancer, bacterial invasion of epithelial cells, focal adhesion, Rap1 signaling pathway, regulation of actin cytoskeleton, and pathways in cancers. The five hub genes were all expressed in human pancreas organs with various levels. Hub gene-related network investigation predicted core miRNAs including hsa-mir-16-5p and main TFs like SOX9 with close interactions with these hub genes. Survival analysis also indicated that the high expression of EGFR, CDH1, ACTB, CD44, and VCL were significantly associated with poor prognosis in pancreatic carcinoma.

Conclusions

The study suggested that hub genes EGFR, CDH1, ACTB, CD44, and VCL may play vital role in the pathogenesis of acute pancreatitis and may serve as potential biomarkers to facilitate future acute pancreatitis diagnosis and treatment.

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Authors and Affiliations

  1. Department of Gastroenterology, Zhejiang Hospital of Sandun District, Zhejiang, China

    Liya Fan

  2. Department of General Ward 1, Zhejiang Hospital of Lingyin District, Zhejiang, China

    Xiaoliang Hui, Ying Mao & Jun Zhou

  3. Lingyin Road, West Lake District, Hangzhou City, 310007, Zhejiang Province, China

    Jun Zhou

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  1. Liya Fan
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  2. Xiaoliang Hui
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  4. Jun Zhou
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Correspondence to Jun Zhou.

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Fan, L., Hui, X., Mao, Y. et al. Identification of Acute Pancreatitis-Related Genes and Pathways by Integrated Bioinformatics Analysis. Dig Dis Sci 65, 1720–1732 (2020). https://doi.org/10.1007/s10620-019-05928-5

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  • DOI: https://doi.org/10.1007/s10620-019-05928-5

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