Open Access

Identification of differentially expressed genes and biological pathways in bladder cancer

  • Authors:
    • Fucai Tang
    • Zhaohui He
    • Hanqi Lei
    • Yuehan Chen
    • Zechao Lu
    • Guohua Zeng
    • Hangtao Wang
  • View Affiliations

  • Published online on: March 9, 2018     https://doi.org/10.3892/mmr.2018.8711
  • Pages: 6425-6434
  • Copyright: © Tang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The purpose of the present study was to identify key genes and investigate the related molecular mechanisms of bladder cancer (BC) progression. From the Gene Expression Omnibus database, the gene expression dataset GSE7476 was downloaded, which contained 43 BC samples and 12 normal bladder tissues. GSE7476 was analyzed to screen the differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed for the DEGs using the DAVID database, and a protein‑protein interaction (PPI) network was then constructed using Cytoscape software. The results of the GO analysis showed that the upregulated DEGs were significantly enriched in cell division, nucleoplasm and protein binding, while the downregulated DEGs were significantly enriched in ‘extracellular matrix organization’, ‘proteinaceous extracellular matrix’ and ‘heparin binding’. The results of the KEGG pathway analysis showed that the upregulated DEGs were significantly enriched in the ‘cell cycle’, whereas the downregulated DEGs were significantly enriched in ‘complement and coagulation cascades’. JUN, cyclin‑dependent kinase 1, FOS, PCNA, TOP2A, CCND1 and CDH1 were found to be hub genes in the PPI network. Sub‑networks revealed that these gene were enriched in significant pathways, including the ‘cell cycle’ signaling pathway and ‘PI3K‑Akt signaling pathway’. In summary, the present study identified DEGs and key target genes in the progression of BC, providing potential molecular targets and diagnostic biomarkers for the treatment of BC.
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May-2018
Volume 17 Issue 5

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Copy and paste a formatted citation
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Spandidos Publications style
Tang F, He Z, Lei H, Chen Y, Lu Z, Zeng G and Wang H: Identification of differentially expressed genes and biological pathways in bladder cancer. Mol Med Rep 17: 6425-6434, 2018
APA
Tang, F., He, Z., Lei, H., Chen, Y., Lu, Z., Zeng, G., & Wang, H. (2018). Identification of differentially expressed genes and biological pathways in bladder cancer. Molecular Medicine Reports, 17, 6425-6434. https://doi.org/10.3892/mmr.2018.8711
MLA
Tang, F., He, Z., Lei, H., Chen, Y., Lu, Z., Zeng, G., Wang, H."Identification of differentially expressed genes and biological pathways in bladder cancer". Molecular Medicine Reports 17.5 (2018): 6425-6434.
Chicago
Tang, F., He, Z., Lei, H., Chen, Y., Lu, Z., Zeng, G., Wang, H."Identification of differentially expressed genes and biological pathways in bladder cancer". Molecular Medicine Reports 17, no. 5 (2018): 6425-6434. https://doi.org/10.3892/mmr.2018.8711