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Article

Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer

  • Authors:
    • Bingbing Yan
    • Fuqiang Yin
    • Qi Wang
    • Wei Zhang
    • Li Li
  • View Affiliations / Copyright

    Affiliations: Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China, Medical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
  • Pages: 157-166
    |
    Published online on: May 18, 2016
       https://doi.org/10.3892/ol.2016.4608
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Abstract

The main obstacle to the successful treatment of ovarian cancer is the development of drug resistance to combined chemotherapy. Among all the factors associated with drug resistance, DNA methylation apparently plays a critical role. In this study, we performed an integrative analysis of the 26 DNA‑methylated genes associated with drug resistance in ovarian cancer, and the genes were further evaluated by comprehensive bioinformatics analysis including gene/protein interaction, biological process enrichment and annotation. The results from the protein interaction analyses revealed that at least 20 of these 26 methylated genes are present in the protein interaction network, indicating that they interact with each other, have a correlation in function, and may participate as a whole in the regulation of ovarian cancer drug resistance. There is a direct interaction between the phosphatase and tensin homolog (PTEN) gene and at least half of the other genes, indicating that PTEN may possess core regulatory functions among these genes. Biological process enrichment and annotation demonstrated that most of these methylated genes were significantly associated with apoptosis, which is possibly an essential way for these genes to be involved in the regulation of multidrug resistance in ovarian cancer. In addition, a comprehensive analysis of clinical factors revealed that the methylation level of genes that are associated with the regulation of drug resistance in ovarian cancer was significantly correlated with the prognosis of ovarian cancer. Overall, this study preliminarily explains the potential correlation between the genes with DNA methylation and drug resistance in ovarian cancer. This finding has significance for our understanding of the regulation of resistant ovarian cancer by methylated genes, the treatment of ovarian cancer, and improvement of the prognosis of ovarian cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Yan B, Yin F, Wang Q, Zhang W and Li L: Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer. Oncol Lett 12: 157-166, 2016.
APA
Yan, B., Yin, F., Wang, Q., Zhang, W., & Li, L. (2016). Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer. Oncology Letters, 12, 157-166. https://doi.org/10.3892/ol.2016.4608
MLA
Yan, B., Yin, F., Wang, Q., Zhang, W., Li, L."Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer". Oncology Letters 12.1 (2016): 157-166.
Chicago
Yan, B., Yin, F., Wang, Q., Zhang, W., Li, L."Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer". Oncology Letters 12, no. 1 (2016): 157-166. https://doi.org/10.3892/ol.2016.4608
Copy and paste a formatted citation
x
Spandidos Publications style
Yan B, Yin F, Wang Q, Zhang W and Li L: Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer. Oncol Lett 12: 157-166, 2016.
APA
Yan, B., Yin, F., Wang, Q., Zhang, W., & Li, L. (2016). Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer. Oncology Letters, 12, 157-166. https://doi.org/10.3892/ol.2016.4608
MLA
Yan, B., Yin, F., Wang, Q., Zhang, W., Li, L."Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer". Oncology Letters 12.1 (2016): 157-166.
Chicago
Yan, B., Yin, F., Wang, Q., Zhang, W., Li, L."Integration and bioinformatics analysis of DNA‑methylated genes associated with drug resistance in ovarian cancer". Oncology Letters 12, no. 1 (2016): 157-166. https://doi.org/10.3892/ol.2016.4608
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