Identification of potential targets for ovarian cancer treatment by systematic bioinformatics analysis

被引：1
作者：
Ye, Q. [1 ]
Lei, L. [1 ]
Aili, A. X. [1 ]
机构：
[1] Tongji Univ, Shanghai East Hosp, Dept Obstet & Gynecol, Shanghai 200120, Peoples R China
来源：
EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY | 2015年 / 36卷 / 03期
关键词：
Ovarian cancer; Protein-protein interaction; Co-expression network; Gene ontology analysis; Pathway enrichment analysis; GENE-EXPRESSION; TRANSCRIPTION FACTORS; P53; MICRORNAS; ASPM; OVEREXPRESSION; RESISTANCE; ONCOGENE; NETWORKS; DATABASE;
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Purpose of investigation: To provide a systematic overview to understand the mechanism of ovarian cancer. Materials and Methods: Data of GSE14407 downloaded from Gene Expression Omnibus (GEO) database and differentially expressed genes (DEGs) were identified. Gene ontology and pathway enrichment analysis were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID). Furthermore, the authors constructed the protein-protein interaction (PPI) network and co-expression networks by Cytoscape. Results: A total 1,442 genes were identified to be differentially expressed. Regulatory effects of DEGs mainly focused on cell cycle, transcription regulation, and cellular protein metabolic process. Significant pathways were determined to be p53 signaling pathway, amino sugar, and nucleotide sugar metabolism. The most significant transcription factor was aryl hydrocarbon receptor nuclear translocator (ARNT). Abnormal spindle-like microcephaly-associated protein (ASPM), Aurora kinase (AURKA), Cyclin-A2 (CCNA2), G2/mitotic-specific cyclin-B1, (CCNB1), and Cyclin-dependent kinase 1 (CDK1) were significant nodes in PPI network. Conclusion: The significant genes and pathways show potential targets for the treatment of ovarian cancer.
引用
收藏
页码：283 / 289
页数：7
相关论文
共 36 条
  • [1] CYP1A1 gene polymorphism and risk of epithelial ovarian neoplasm
    Aktas, D
    Guney, I
    Alikasifoglu, M
    Yüce, K
    Tuncbilek, E
    Ayhan, A
    [J]. GYNECOLOGIC ONCOLOGY, 2002, 86 (02) : 124 - 128
  • [2] FatiGO:: a web tool for finding significant associations of Gene Ontology terms with groups of genes
    Al-Shahrour, F
    Díaz-Uriarte, R
    Dopazo, J
    [J]. BIOINFORMATICS, 2004, 20 (04) : 578 - 580
  • [3] Aunoble B, 2000, INT J ONCOL, V16, P567
  • [4] The genetics and genomics of cancer
    Balmain, A
    Gray, J
    Ponder, B
    [J]. NATURE GENETICS, 2003, 33 (Suppl 3) : 238 - 244
  • [5] Gene expression profiling supports the hypothesis that human ovarian surface epithelia are multipotent and capable of serving as ovarian cancer initiating cells
    Bowen, Nathan J.
    Walker, L. DeEtte
    Matyunina, Lilya V.
    Logani, Sanjay
    Totten, Kimberly A.
    Benigno, Benedict B.
    McDonald, John F.
    [J]. BMC MEDICAL GENOMICS, 2009, 2
  • [6] ASPM and microcephalin expression in epithelial ovarian cancer correlates with tumour grade and survival
    Bruening-Richardson, A.
    Bond, J.
    Alsiary, R.
    Richardson, J.
    Cairns, D. A.
    McCormack, L.
    Hutson, R.
    Burns, P.
    Wilkinson, N.
    Hall, G. D.
    Morrison, E. E.
    Bell, S. M.
    [J]. BRITISH JOURNAL OF CANCER, 2011, 104 (10) : 1602 - 1610
  • [7] Chuaqui R F, 1998, Ann Diagn Pathol, V2, P195, DOI 10.1016/S1092-9134(98)80007-5
  • [8] Amplification and overexpression of Aurora kinase A (AURKA) in immortalized human ovarian epithelial (HOSE) cells
    Chung, CM
    Man, C
    Jin, Y
    Jin, C
    Guan, XY
    Wang, Q
    Wan, TSK
    Cheung, ALM
    Tsao, SW
    [J]. MOLECULAR CARCINOGENESIS, 2005, 43 (03) : 165 - 174
  • [9] Crijns APG, 2009, PLOS MED, V6, P181, DOI 10.1371/journal.pmed.1000024
  • [10] Transcription factors as targets for cancer therapy
    Darnell, JE
    [J]. NATURE REVIEWS CANCER, 2002, 2 (10) : 740 - 749
1234