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Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray

  • Authors:
    • Ming‑Yan Liu
    • Hong Zhang
    • Yuan‑Jing Hu
    • Yu‑Wei Chen
    • Xiao‑Nan Zhao
  • View Affiliations / Copyright

    Affiliations: Department of Gynecology and Oncology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin 300100, P.R. China, Department of Obstetrics and Gynecology, Graduate School of Tianjin Medical University, Tianjin 300100, P.R. China
    Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 473-478
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    Published online on: June 1, 2016
       https://doi.org/10.3892/ol.2016.4658
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Abstract

Cervical cancer is the second most commonly diagnosed type of cancer and the third leading cause of cancer‑associated mortality in women. The current study aimed to determine the genes associated with cervical cancer development. Microarray data (GSE55940 and GSE46306) were downloaded from Gene Expression Omnibus. Overlapping genes between the differentially expressed genes (DEGs) in GSE55940 (identified by Limma package) and the differentially methylated genes were screened. Gene Ontology (GO) enrichment analysis was subsequently performed for these genes using the ToppGene database. In GSE55940, 91 downregulated and 151 upregulated DEGs were identified. In GSE46306, 561 overlapping differentially methylated genes were obtained through the differential methylation analysis at the CpG site level, CpG island level and gene level. A total of 5 overlapping genes [dipeptidyl peptidase 4 (DPP4); endothelin 3 (EDN3); fibroblast growth factor 14 (FGF14); tachykinin, precursor 1 (TAC1); and wingless‑type MMTV integration site family, member 16 (WNT16)] between the 561 overlapping differentially methylated genes and the 242 DEGs were identified, which were downregulated and hypermethylated simultaneously in cervical cancer samples. Enriched GO terms were receptor binding (involving DPP4, EDN3, FGF14, TAC1 and WNT16), ameboidal‑type cell migration (DPP4, EDN3 and TAC1), mitogen‑activated protein kinase cascade (FGF14, EDN3 and WNT16) and cell proliferation (EDN3, WNT16, DPP4 and TAC1). These results indicate that DPP4, EDN3, FGF14, TAC1 and WNT16 may be involved in the pathogenesis of cervical cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Liu MY, Zhang H, Hu YJ, Chen YW and Zhao XN: Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray. Oncol Lett 12: 473-478, 2016.
APA
Liu, M., Zhang, H., Hu, Y., Chen, Y., & Zhao, X. (2016). Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray. Oncology Letters, 12, 473-478. https://doi.org/10.3892/ol.2016.4658
MLA
Liu, M., Zhang, H., Hu, Y., Chen, Y., Zhao, X."Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray". Oncology Letters 12.1 (2016): 473-478.
Chicago
Liu, M., Zhang, H., Hu, Y., Chen, Y., Zhao, X."Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray". Oncology Letters 12, no. 1 (2016): 473-478. https://doi.org/10.3892/ol.2016.4658
Copy and paste a formatted citation
x
Spandidos Publications style
Liu MY, Zhang H, Hu YJ, Chen YW and Zhao XN: Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray. Oncol Lett 12: 473-478, 2016.
APA
Liu, M., Zhang, H., Hu, Y., Chen, Y., & Zhao, X. (2016). Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray. Oncology Letters, 12, 473-478. https://doi.org/10.3892/ol.2016.4658
MLA
Liu, M., Zhang, H., Hu, Y., Chen, Y., Zhao, X."Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray". Oncology Letters 12.1 (2016): 473-478.
Chicago
Liu, M., Zhang, H., Hu, Y., Chen, Y., Zhao, X."Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray". Oncology Letters 12, no. 1 (2016): 473-478. https://doi.org/10.3892/ol.2016.4658
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