title: Key pathways involved in prostate cancer based on gene  set enrichment analysis and meta analysis.
abstract: Prostate cancer is one of the most common male  malignant neoplasms; however, its causes are not completely understood. A few  recent studies have used gene expression profiling of prostate cancer to  identify differentially expressed genes and possible relevant pathways.  However, few studies have examined the genetic mechanics of prostate cancer at  the pathway level to search for such pathways. We used gene set enrichment  analysis and a meta-analysis of six independent studies after standardized microarray  preprocessing, which increased concordance between these gene datasets. Based  on gene set enrichment analysis, there were 12 down- and 25 up-regulated mixing  pathways in more than two tissue datasets, while there were two down- and two  up-regulated mixing pathways in three cell datasets. Based on the  meta-analysis, there were 46 and nine common pathways in the tissue and cell  datasets, respectively. Three up- and 10 down-regulated crossing pathways were detected  with combined gene set enrichment analysis and meta-analysis. We found that  genes with small changes are difficult to detect by classic univariate  statistics; they can more easily be identified by pathway analysis. After  standardized microarray preprocessing, we applied gene set enrichment analysis  and a meta-analysis to increase the concordance in identifying biological mechanisms  involved in prostate cancer. The gene pathways that we identified could provide  insight concerning the development of prostate cancer.
authors.affiliation: Department of Infection, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
authors.forename: Q Y
authors.initials: QY
authors.lastname: Ning
authors.forename: J Z
authors.initials: JZ
authors.lastname: Wu
authors.forename: N
authors.initials: N
authors.lastname: Zang
authors.forename: J
authors.initials: J
authors.lastname: Liang
authors.forename: Y L
authors.initials: YL
authors.lastname: Hu
authors.forename: Z N
authors.initials: ZN
authors.lastname: Mo
mesh_terms: D045744:Cell Line, Tumor; D030541:Databases, Genetic; D015536:Down-Regulation / Q000235:genetics; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D052138:Genes, Neoplasm / Q000235:genetics*; D006801:Humans; D008297:Male; D011471:Prostatic Neoplasms / Q000235:genetics*; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction / Q000235:genetics*; D015854:Up-Regulation / Q000235:genetics
chemical_list: D012333:RNA, Messenger