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Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach

  • Authors:
    • Mi Zhou
    • Yabin Zhu
    • Ruixia Hou
    • Xianbo Mou
    • Jun Tan
  • View Affiliations / Copyright

    Affiliations: Department of Cell Biology, The Medical School of Ningbo University, Ningbo, Zhejiang 315211, P.R. China, Department of Hepatology, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang 315010, P.R. China
    Copyright: © Zhou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 5459-5467
    |
    Published online on: September 20, 2019
       https://doi.org/10.3892/ol.2019.10904
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Abstract

Cholangiocarcinoma (CCA) is a biliary epithelial tumor with poor prognosis. As the key genes and signaling pathways underlying the disease have not been fully elucidated, the aim of the present study was to improve the understanding of the molecular mechanisms associated with CCA. The microarray datasets GSE26566 and GSE89749 were downloaded from the Gene Expression Omnibus and differentially expressed genes (DEGs) between CCA and normal bile duct samples were identified. Gene and pathway enrichment analyses were performed, and a protein‑protein interaction network was constructed and analyzed. A total of 159 DEGs and 10 hub genes were identified. The functions and pathways of the DEGs were mainly enriched in ‘heparin binding’, ‘serine‑type endopeptidase activity’, ‘calcium ion binding’, ‘pancreatic secretion’, ‘fat digestion and absorption’ and ‘protein digestion and absorption’. Survival analysis revealed that the upregulated expression of carboxypeptidase B1 and Kruppel like factor 4 was significantly associated with lower overall survival rate. In summary, the present study identified DEGs and hub genes associated with CCA, which may serve as potential diagnostic and therapeutic targets for the disease.
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Copy and paste a formatted citation
Spandidos Publications style
Zhou M, Zhu Y, Hou R, Mou X and Tan J: Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach. Oncol Lett 18: 5459-5467, 2019.
APA
Zhou, M., Zhu, Y., Hou, R., Mou, X., & Tan, J. (2019). Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach. Oncology Letters, 18, 5459-5467. https://doi.org/10.3892/ol.2019.10904
MLA
Zhou, M., Zhu, Y., Hou, R., Mou, X., Tan, J."Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach". Oncology Letters 18.5 (2019): 5459-5467.
Chicago
Zhou, M., Zhu, Y., Hou, R., Mou, X., Tan, J."Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach". Oncology Letters 18, no. 5 (2019): 5459-5467. https://doi.org/10.3892/ol.2019.10904
Copy and paste a formatted citation
x
Spandidos Publications style
Zhou M, Zhu Y, Hou R, Mou X and Tan J: Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach. Oncol Lett 18: 5459-5467, 2019.
APA
Zhou, M., Zhu, Y., Hou, R., Mou, X., & Tan, J. (2019). Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach. Oncology Letters, 18, 5459-5467. https://doi.org/10.3892/ol.2019.10904
MLA
Zhou, M., Zhu, Y., Hou, R., Mou, X., Tan, J."Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach". Oncology Letters 18.5 (2019): 5459-5467.
Chicago
Zhou, M., Zhu, Y., Hou, R., Mou, X., Tan, J."Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach". Oncology Letters 18, no. 5 (2019): 5459-5467. https://doi.org/10.3892/ol.2019.10904
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