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Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions

  • Authors:
    • Liang Zhao
    • Zhechao Zhang
    • Hongyan Lou
    • Jingjing Liang
    • Xiaojian Yan
    • Wenfeng Li
    • Yunsheng Xu
    • Rongying Ou
  • View Affiliations / Copyright

    Affiliations: Laboratory for Advanced Interdisciplinary Research, Institute of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
    Copyright: © Zhao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 8965-8972
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    Published online on: April 13, 2018
       https://doi.org/10.3892/ol.2018.8494
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Abstract

The molecular mechanisms of cervical cancer have been minimally explored with multi‑omics data. In the present study, mRNA expression profiles were analyzed and combined with predicted miRNA interactions to contribute to the characterization of the underlying regulatory mechanisms of cervical cancer. A total of 92 significantly differentially expressed genes (DEGs) were identified in 33 tumor samples by comparison with 29 normal samples. mRNA‑miRNA interaction network analysis revealed that 16 out of the 92 DEGs, including checkpoint kinase 1 (CHEK1), SRY‑box 17 (SOX17), centrosomal protein 55, cyclin dependent kinase inhibitor 2A (CDKN2A), and inhibitor of DNA binding 4, were the targets of 4 miRNAs which were previously reported to be involved in the regulation of cervical cancer. Tumor and normal samples could be distinctly classified into two groups based on the expression of the 16 DEGs. Furthermore, survival analysis using the SurvExpress database indicated that the 16 DEGs could individually significantly differentiate low‑ and high‑risk cervical cancer groups. Overall, multiple biological processes are likely to participate in the progression of cervical cancer based on the pathway and function enrichment identified for the DEGs. The dysregulation of SOX17 is associated with the regulation of embryonic development, the determination of cell fate and likely promotes cancer cell transformation. The dysregulation of CHEK1 and CDKN2A further promote cancer cell proliferation by affecting the cell cycle checkpoint in response to DNA damage. The identification of critical genes and biological processes associated with cervical cancer may be beneficial for the exploration of the molecular mechanisms.
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Copy and paste a formatted citation
Spandidos Publications style
Zhao L, Zhang Z, Lou H, Liang J, Yan X, Li W, Xu Y and Ou R: Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions. Oncol Lett 15: 8965-8972, 2018.
APA
Zhao, L., Zhang, Z., Lou, H., Liang, J., Yan, X., Li, W. ... Ou, R. (2018). Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions. Oncology Letters, 15, 8965-8972. https://doi.org/10.3892/ol.2018.8494
MLA
Zhao, L., Zhang, Z., Lou, H., Liang, J., Yan, X., Li, W., Xu, Y., Ou, R."Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions". Oncology Letters 15.6 (2018): 8965-8972.
Chicago
Zhao, L., Zhang, Z., Lou, H., Liang, J., Yan, X., Li, W., Xu, Y., Ou, R."Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions". Oncology Letters 15, no. 6 (2018): 8965-8972. https://doi.org/10.3892/ol.2018.8494
Copy and paste a formatted citation
x
Spandidos Publications style
Zhao L, Zhang Z, Lou H, Liang J, Yan X, Li W, Xu Y and Ou R: Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions. Oncol Lett 15: 8965-8972, 2018.
APA
Zhao, L., Zhang, Z., Lou, H., Liang, J., Yan, X., Li, W. ... Ou, R. (2018). Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions. Oncology Letters, 15, 8965-8972. https://doi.org/10.3892/ol.2018.8494
MLA
Zhao, L., Zhang, Z., Lou, H., Liang, J., Yan, X., Li, W., Xu, Y., Ou, R."Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions". Oncology Letters 15.6 (2018): 8965-8972.
Chicago
Zhao, L., Zhang, Z., Lou, H., Liang, J., Yan, X., Li, W., Xu, Y., Ou, R."Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions". Oncology Letters 15, no. 6 (2018): 8965-8972. https://doi.org/10.3892/ol.2018.8494
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