Open Access

Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer

  • Authors:
    • Yanyan Liu
    • Yuexiong Yi
    • Wanrong Wu
    • Kejia Wu
    • Wei Zhang
  • View Affiliations

  • Published online on: May 17, 2019     https://doi.org/10.3892/ol.2019.10371
  • Pages: 617-628
  • Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Cervical, endometrial and vulvar cancer are three common types of gynecological tumor that threaten the health of females worldwide. Since their underlying mechanisms and associations remain unclear, a comprehensive and systematic bioinformatics analysis is required. The present study downloaded GSE63678 from the GEO database and then performed functional enrichment analyses, including gene ontology and pathway analysis. To further investigate the molecular mechanisms underlying the three types of gynecological cancer, protein‑protein interaction (PPI) analysis was performed. A biological network was generated with the guidance of the Kyoto Encyclopedia of Genes and Genomes database and was presented in Cytoscape. A total of 1,219 DEGs were identified for the three types of cancer, and 25 hub genes were revealed. Pathway analysis and the PPI network indicated that four main types of pathway participate in the mechanism of gynecological cancer, including viral infections and cancer formation, tumorigenesis and development, signal transduction, and endocrinology and metabolism. A preliminary gynecological cancer biological network was constructed. Notably, following all analysis, the phosphoinositide 3‑kinase (PI3K)/Akt pathway was identified as a potential biomarker pathway. Seven pivotal hub genes (CCNA2, CDK1, CCND1, FGF2, IGF1, BCL2 and VEGFA) of the three gynecological cancer types were proposed. The seven hub genes may serve as targets in gynecological cancer for prevention and early intervention. The PI3K/Akt pathway was identified as a critical biomarker of the three types of gynecological cancer, which may serve a role in the pathogenesis. In summary, the present study provided evidence that could support the treatment of gynecologic tumors in the future.
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July-2019
Volume 18 Issue 1

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Liu Y, Yi Y, Wu W, Wu K and Zhang W: Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer. Oncol Lett 18: 617-628, 2019
APA
Liu, Y., Yi, Y., Wu, W., Wu, K., & Zhang, W. (2019). Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer. Oncology Letters, 18, 617-628. https://doi.org/10.3892/ol.2019.10371
MLA
Liu, Y., Yi, Y., Wu, W., Wu, K., Zhang, W."Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer". Oncology Letters 18.1 (2019): 617-628.
Chicago
Liu, Y., Yi, Y., Wu, W., Wu, K., Zhang, W."Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer". Oncology Letters 18, no. 1 (2019): 617-628. https://doi.org/10.3892/ol.2019.10371