Open Access

Screening of potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles

  • Authors:
    • Rui Zhao
    • Yao Wang
    • Muchun Zhang
    • Xinquan Gu
    • Weihua Wang
    • Jiufeng Tan
    • Xin Wei
    • Ning Jin
  • View Affiliations

  • Published online on: September 4, 2017     https://doi.org/10.3892/ol.2017.6879
  • Pages: 5361-5369
  • Copyright: © Zhao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The aim of the present study was to analyze potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles. First, gene expression profiles GSE38241 and GSE3933 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between prostate cancer and normal control samples were identified using the Linear Models for Microarray Data package. Pathway enrichment analysis of DEGs was performed using Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. Furthermore, protein‑protein interaction (PPI) networks of DEGs were constructed, on the basis of the Search Tool for the Retrieval of Interacting Genes/Proteins database. The Molecular Complex Detection was utilized to perform module analysis of the PPI networks. In addition, transcriptional regulatory networks were constructed on the basis of the associations between transcription factors (TFs) and target genes. A total of 529 DEGs were identified, including 129 upregulated genes that were primarily associated with to the cell cycle. Additionally, 400 downregulated genes were identified, which were principally enriched in the pathways associated with vascular smooth muscle contraction and focal adhesion. Cell Division Cycle Associated 8, Cell Division Cycle 45, Ubiquitin Conjugating Enzyme E2 C and Thymidine Kinase 1 were identified as hub genes in the upregulated sub‑network. Furthermore, the upregulated TF E2F, and the downregulated TF Early Growth Response 1, were identified to be critical in the transcriptional regulatory networks. The identified DEGs and TFs may have critical roles in the progression of prostate cancer, and may be used as target molecules for treating prostate cancer.
View Figures
View References

Related Articles

Journal Cover

November-2017
Volume 14 Issue 5

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

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Zhao R, Wang Y, Zhang M, Gu X, Wang W, Tan J, Wei X and Jin N: Screening of potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles. Oncol Lett 14: 5361-5369, 2017
APA
Zhao, R., Wang, Y., Zhang, M., Gu, X., Wang, W., Tan, J. ... Jin, N. (2017). Screening of potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles. Oncology Letters, 14, 5361-5369. https://doi.org/10.3892/ol.2017.6879
MLA
Zhao, R., Wang, Y., Zhang, M., Gu, X., Wang, W., Tan, J., Wei, X., Jin, N."Screening of potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles". Oncology Letters 14.5 (2017): 5361-5369.
Chicago
Zhao, R., Wang, Y., Zhang, M., Gu, X., Wang, W., Tan, J., Wei, X., Jin, N."Screening of potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles". Oncology Letters 14, no. 5 (2017): 5361-5369. https://doi.org/10.3892/ol.2017.6879