Open Access

Identifying miRNA‑mRNA regulation network of major depressive disorder in ovarian cancer patients

  • Authors:
    • Chengjiang Wu
    • Yangjing Zhao
    • Yuefang Liu
    • Xinxin Yang
    • Meina Yan
    • Yujiao Min
    • Zihui Pan
    • Shali Qiu
    • Sheng Xia
    • Jun Yu
    • Peifang Yang
    • Bing Wan
    • Qixiang Shao
  • View Affiliations

  • Published online on: July 31, 2018     https://doi.org/10.3892/ol.2018.9243
  • Pages: 5375-5382
  • Copyright: © Wu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Major depression disorder (MDD) has become increasingly common in patients with ovarian cancer, which complicates the treatment course. The microRNA (miRNA)‑mRNA regulation network may help elucidate the potential mechanism of MDD in ovarian cancer. The differentially expressed microRNAs (DEmiRs) and mRNAs (DEmRNAs) were therefore identified from the GSE61741, GSE58105 and GSE9116 ovarian cancer datasets using GEO2R. The target genes of the DEmiRs were then obtained using the TargetScan, microRNAorg, microT‑CDS, miRDB and miRTarBase prediction tools. The DAVID program was used to identify the KEGG pathways of target genes, and the core genes of major depressive disorder (MDD) were identified using the Kaplan‑Meier Plotter for ovarian cancer. A total of 5 DEmiRs (miR‑23b‑3p, miR‑33b‑3p, miR‑1265, miR‑933 and miR‑629‑5p) were obtained from GSE61741 and GSE58105. The target genes of these DEmiRs were enriched in pathways that were considered high risk for developing MDD in ovarian cancer. A total of 11 risk genes were selected from these pathways as the core genes in the miRNA‑mRNA network of MDD in ovarian cancer, and eventually identified the following 12 miRNA‑mRNAs pairs: miR‑629‑5p‑FGF1, miR‑629‑5p‑AKT3, miR‑629‑5p‑MAGI2, miR‑933‑BDNF, miR‑933‑MEF2A, miR‑23b‑3p‑TJP1, miR‑23b‑3p‑JMJD1, miR‑23b‑3p‑APAF1, miR‑23b‑3p‑CAB39, miR‑1265‑CDKN1B, miR‑33b‑3p‑CDKN1B, and miR‑33b‑3p‑F2R. These results may provide novel insights into the mechanisms of developing MDD in ovarian cancer patients.
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October-2018
Volume 16 Issue 4

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

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Spandidos Publications style
Wu C, Zhao Y, Liu Y, Yang X, Yan M, Min Y, Pan Z, Qiu S, Xia S, Yu J, Yu J, et al: Identifying miRNA‑mRNA regulation network of major depressive disorder in ovarian cancer patients. Oncol Lett 16: 5375-5382, 2018.
APA
Wu, C., Zhao, Y., Liu, Y., Yang, X., Yan, M., Min, Y. ... Shao, Q. (2018). Identifying miRNA‑mRNA regulation network of major depressive disorder in ovarian cancer patients. Oncology Letters, 16, 5375-5382. https://doi.org/10.3892/ol.2018.9243
MLA
Wu, C., Zhao, Y., Liu, Y., Yang, X., Yan, M., Min, Y., Pan, Z., Qiu, S., Xia, S., Yu, J., Yang, P., Wan, B., Shao, Q."Identifying miRNA‑mRNA regulation network of major depressive disorder in ovarian cancer patients". Oncology Letters 16.4 (2018): 5375-5382.
Chicago
Wu, C., Zhao, Y., Liu, Y., Yang, X., Yan, M., Min, Y., Pan, Z., Qiu, S., Xia, S., Yu, J., Yang, P., Wan, B., Shao, Q."Identifying miRNA‑mRNA regulation network of major depressive disorder in ovarian cancer patients". Oncology Letters 16, no. 4 (2018): 5375-5382. https://doi.org/10.3892/ol.2018.9243