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Mining featured biomarkers associated with prostatic carcinoma based on bioinformatics.

Authors :
Piao, Guanying
Wu, Jiarui
Source :
Biomarkers. Nov2013, Vol. 18 Issue 7, p580-586. 7p.
Publication Year :
2013

Abstract

Objective: To analyze the differentially expressed genes and identify featured biomarkers from prostatic carcinoma. Methods: The software "Significance Analysis of Microarray" (SAM) was used to identify the differentially coexpressed genes (DCGs). The DCGs existed in two datasets were analyzed by GO (Gene Ontology) functional annotation. Results: A total of 389 DCGs were obtained. By GO analysis, we found these DCGs were closely related with the acinus development, TGF-ß receptor and signal transduction pathways. Furthermore, five featured biomarkers were discovered by interaction analysis. Conclusion: These important signal pathways and oncogenes may provide potential therapeutic targets for prostatic carcinoma. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1354750X
Volume :
18
Issue :
7
Database :
Academic Search Index
Journal :
Biomarkers
Publication Type :
Academic Journal
Accession number :
91987691
Full Text :
https://doi.org/10.3109/1354750X.2013.827743