Analysis of the specific pathways and networks of prostate cancer for gene expression profiles in the Chinese population

Jia Hong Chen, Hui Chan He, Fu Neng Jiang, Julia Militar, Petor Yang Ran, Guo Qiang Qin, Chao Cai, Xi Bin Chen, Jin Zhao, Zi Yao Mo, Yan Ru Chen, Jian Guo Zhu, Xingyin Liu, Wei De Zhong

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


The global physiological function of specifically expressed genes of prostate cancer in Chinese patients is unclear. This study aims to determine the genome-wide expression of genes related to prostate cancer in the Chinese population. Genes that were differentially expressed in prostate cancer were identified using DNA microarray technology. Expressions were validated by using real-time PCR. The identified genes were analyzed using the ingenuity pathway analysis (IPA) to investigate the gene ontology, functional pathway and network. A total of 1,444 genes (Fold time ≥ 1.5; P ≥ 0.05) were differentially expressed in prostate primary tumor tissue compared with benign tissue. IPA revealed a unique landscape where inductions of certain pathways were involved in Cell Cycle Regulation and proliferation. Network analysis not only confirmed that protein interactions lead to the deregulation of DNA Replication, Recombination and Repair, Cellular Compromise and Cell Cycle, Genetic Disorders and Connective Tissue Disorders, but it was also observed that many of the genes regulated by Myc contributed to the modulation of lipid Metabolism and Nucleic Acid Metabolism. Both pathway and network analysis exhibited some remarkable characteristics of prostate cancer for Chinese patients, which showed profound differences from that of other non-Chinese populations. These differences may provide new insights into the molecular cascade of prostate cancer that occurs in Chinese patients.

Original languageEnglish (US)
Pages (from-to)1972-1984
Number of pages13
JournalMedical Oncology
Issue number3
StatePublished - Sep 2012
Externally publishedYes


  • Gene expression profile
  • Gene network
  • Global pathway analysis
  • Prostate cancer

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research


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