Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis

  • Authors:
    • Zhenning Zou
    • Siyuan Gan
    • Shuguang Liu
    • Rujia Li
    • Jian Huang
  • View Affiliations

  • Published online on: May 21, 2019     https://doi.org/10.3892/ol.2019.10382
  • Pages: 916-926
  • Copyright: © Zou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Nasopharyngeal carcinoma (NPC) is a common malignancy of the head and neck. The aim of the present study was to conduct an integrated bioinformatics analysis of differentially expressed genes (DEGs) and to explore the molecular mechanisms of NPC. Two profiling datasets, GSE12452 and GSE34573, were downloaded from the Gene Expression Omnibus database and included 44 NPC specimens and 13 normal nasopharyngeal tissues. R software was used to identify the DEGs between NPC and normal nasopharyngeal tissues. Distributions of DEGs in chromosomes were explored based on the annotation file and the CYTOBAND database of DAVID. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied. Additionally, a protein‑protein interaction (PPI) network, constructed using the STRING database and visualized by Cytoscape, was used to identify hub genes, key modules and important transcription factors (TFs). A total of 906 DEGs were identified; 434 (47.90%) DEGs were upregulated and 472 (52.10%) were downregulated. The DEGs were demonstrated to be enriched in chromosome 7p15‑p14, 2q31, 1q21‑q22, 1q21, 4q21 and 1p31‑p22. DEGs were mainly enriched for the following GO terms: ‘Cilium movement’, ‘microtubule bundle formation’ and ‘axoneme assembly’. KEGG pathway enrichment analysis revealed that pathways for ‘cell cycle’, ‘DNA replication’, ‘interleukin‑17 signaling’, ‘amoebiasis’ and ‘glutathione metabolism’ were enriched. In addition, a PPI network comprising 867 nodes and 1,241 edges was constructed. Finally, five hub genes (aurora kinase A, cell division cycle 6, mitotic arrest deficient 2‑like 1, DNA topoisomerase 2α and TPX2 microtubule nucleation factor), 8 modules, and 14 TFs were identified. Modules analysis revealed that cyclin‑dependent kinase 1 and exportin 1 were involved in the pathway of Epstein‑Barr virus infection. In summary, the hub genes, key modules and TFs identified in this study may promote our understanding of the pathogenesis of NPC and require further in‑depth investigation.
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July-2019
Volume 18 Issue 1

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

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Spandidos Publications style
Zou Z, Gan S, Liu S, Li R and Huang J: Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis. Oncol Lett 18: 916-926, 2019
APA
Zou, Z., Gan, S., Liu, S., Li, R., & Huang, J. (2019). Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis. Oncology Letters, 18, 916-926. https://doi.org/10.3892/ol.2019.10382
MLA
Zou, Z., Gan, S., Liu, S., Li, R., Huang, J."Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis". Oncology Letters 18.1 (2019): 916-926.
Chicago
Zou, Z., Gan, S., Liu, S., Li, R., Huang, J."Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis". Oncology Letters 18, no. 1 (2019): 916-926. https://doi.org/10.3892/ol.2019.10382