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Analysis of the specific pathways and networks of prostate cancer for gene expression profiles in the Chinese population
- 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.
- Subjects :
- Male
Cancer Research
Gene regulatory network
Biology
Real-Time Polymerase Chain Reaction
Prostate cancer
Asian People
Prostate
medicine
Cluster Analysis
Humans
Gene
Oligonucleotide Array Sequence Analysis
Genetics
Reverse Transcriptase Polymerase Chain Reaction
Prostatic Neoplasms
Hematology
General Medicine
Chromoplexy
Cell cycle
medicine.disease
Immunohistochemistry
Real-time polymerase chain reaction
medicine.anatomical_structure
Oncology
DNA microarray
Transcriptome
Genome-Wide Association Study
Subjects
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