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

Authors :
Petor Yang Ran
Fu neng Jiang
Xi Bin Chen
Xingyin Liu
Chao Cai
Julia Militar
Jian-guo Zhu
Guo qiang Qin
Zi Yao Mo
Yan Ru Chen
Jia-Hong Chen
Hui chan He
Jin Zhao
Wei-de Zhong
Source :
Medical Oncology. 29:1972-1984
Publication Year :
2011
Publisher :
Springer Science and Business Media LLC, 2011.

Abstract

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.

Details

ISSN :
1559131X and 13570560
Volume :
29
Database :
OpenAIRE
Journal :
Medical Oncology
Accession number :
edsair.doi.dedup.....474a4b24b330457a5edaf12ea03d9353
Full Text :
https://doi.org/10.1007/s12032-011-0088-5