title: Identifying differentially expressed genes and small molecule drugs for prostate cancer by a bioinformatics strategy.
abstract: OBJECTIVE
  Prostate cancer caused by the abnormal disorderly growth of prostatic acinar cells is the most prevalent cancer of men in western countries. We aimed to screen out differentially expressed genes (DEGs) and explore small molecule drugs for prostate cancer.
  
  
  METHODS
  The GSE3824 gene expression profile of prostate cancer was downloaded from Gene Expression Omnibus database which including 21 normal samples and 18 prostate cancer cells. The DEGs were identified by Limma package in R language and gene ontology and pathway enrichment analyses were performed. In addition, potential regulatory microRNAs and the target sites of the transcription factors were screened out based on the molecular signature database. In addition, the DEGs were mapped to the connectivity map database to identify potential small molecule drugs.
  
  
  RESULTS
  A total of 6,588 genes were filtered as DEGs between normal and prostate cancer samples. Examples such as ITGB6, ITGB3, ITGAV and ITGA2 may induce prostate cancer through actions on the focal adhesion pathway. Furthermore, the transcription factor, SP1, and its target genes ARHGAP26 and USF1 were identified. The most significant microRNA, MIR-506, was screened and found to regulate genes including ITGB1 and ITGB3. Additionally, small molecules MS-275, 8-azaguanine and pyrvinium were discovered to have the potential to repair the disordered metabolic pathways, abd furthermore to remedy prostate cancer.
  
  
  CONCLUSIONS
  The results of our analysis bear on the mechanism of prostate cancer and allow screening for small molecular drugs for this cancer. The findings have the potential for future use in the clinic for treatment of prostate cancer.
authors.affiliation: Department of Urology, the 452nd Hospital of PLA, Chengdu, China E-mail : xuyahong452@hotmail.com.
authors.forename: Jian
authors.initials: J
authors.lastname: Li
authors.forename: Ya-Hong
authors.initials: YH
authors.lastname: Xu
authors.forename: Yi
authors.initials: Y
authors.lastname: Lu
authors.forename: Xiao-Ping
authors.initials: XP
authors.lastname: Ma
authors.forename: Ping
authors.initials: P
authors.lastname: Chen
authors.forename: Shun-Wen
authors.initials: SW
authors.lastname: Luo
authors.forename: Zhi-Gang
authors.initials: ZG
authors.lastname: Jia
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Yu
authors.initials: Y
authors.lastname: Guo
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D055808:Drug Discovery / Q000379:methods*; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D004364:Pharmaceutical Preparations; D011471:Prostatic Neoplasms / Q000188:drug therapy* / Q000235:genetics*; D054852:Small Molecule Libraries; D059467:Transcriptome
chemical_list: D035683:MicroRNAs; D004364:Pharmaceutical Preparations; D054852:Small Molecule Libraries