Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis

Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis

  • عنوان فارسی : Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis
  • عنوان انگلیسی : Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis
  • مجله : Asian Pacific Journal of Cancer Prevention
  • issn(مجله) : 1513-7368
  • نوع مقاله: Journal Article
  • زبان: انگلیسی
  • نوع انتشار: مقاله چاپ شده
  • انتشار مقاله: 04-04-1397
  • شماره(No): 1
  • جایگاه : پژوهشی
  • دوره: 20
  • شماره صفحه: 145,155
  • تعداد نویسندگان: 10
  • doI: 10.31557/APJCP.2019.20.1.145
  • مقاله مستخرج از:
  • نویسندگان: Yi Sun , Huang Xiaoyan , Liu Yun , Liu Chaoqun , Wen Jialing , Yang Liu , Zhao Yingqi , Yi Peipei , Peng Junjun , Lu Yuanming ,
  • چکیده:
  • چکیده انگلیسی: Ovarian cancer is one of the three major gynecologic cancers in the world. The aim of this study is to find the
    relationship between ovarian cancer and diabetes mellitus by using the genetic screening technique. By GEO database
    query and related online tools of analysis, we analyzed 185 cases of ovarian cancer and 10 control samples from
    GSE26712, and a total of 379 different genes were identified, including 104 up-regulated genes and 275 down-regulated
    genes. The up-regulated genes were mainly enriched in biological processes, including cell adhesion, transcription of
    nucleic acid and biosynthesis, and negative regulation of cell metabolism. The down-regulated genes were enriched in
    cell proliferation, migration, angiogenesis and macromolecular metabolism. Protein-protein interaction was analyzed
    by network diagram and module synthesis analysis. The top ten hub genes (CDC20, H2AFX, ENO1, ACTB, ISG15,
    KAT2B, HNRNPD, YWHAE, GJA1 and CAV1) were identified, which play important roles in critical signaling
    pathways that regulate the process of oxidation-reduction reaction and carboxylic acid metabolism. CTD analysis
    showed that the hub genes were involved in 1,128 distinct diseases (bonferroni-corrected P<0.05). Further analysis by
    drawing the Kaplan-Meier survival curve indicated that CDC20 and ISG15 were statistically significant (P<0.05). In
    conclusion, glycometabolism was related to ovarian cancer and genes and proteins in glycometabolism could serve as
    potential targets in ovarian cancer treatment.
Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis

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