title: [The highly expressed secreted phosphoprotein 1 gene in prostate cancer metastasis: a microarray-based bioinformatic analysis].
abstract: OBJECTIVE
  To investigate the composition, function, and regulatory mechanisms of the secreted phosphoprotein 1 (SPP1) gene in metastatic prostate cancer.
  
  
  METHODS
  We obtained the data about the whole genomic expression profiles on prostate cancer metastasis from the GEO database, and performed data-mining and bioinformatic analysis using BRB-Array Tools and such softwares as Protparam, MotifScan, SignalP 4.0, TMHMM, NetPhos2.0, PredictProtein, GO, KEGG, and STRING.
  
  
  RESULTS
  Totally, 73 co-expressed differential genes in prostate cancer metastasis were identified, 21 up-regulated and 52 down-regulated (P <0.01). Bioinformatic analysis indicated that the highly expressed SPP1 gene encoded 314 amino acids and contained 2 N-glycosylation sites, 8 casein kinase II phosphorylation sites and 3 protein kinase C phosphorylation sites, playing essential roles in extracellular matrix (ECM) binding, ossification, osteoblast differentiation, cell adhesion, PI3K-Akt signaling pathway, focal adhesion, Toll-like receptor signaling pathway, and ECM-receptor interaction.
  
  
  CONCLUSIONS
  The bioinformatic method showed a high efficiency in analyzing microarray data and revealing internal biological information. SPP1 may play an important role in prostate cancer metastasis and become a novel biomarker for the diagnosis of prostate cancer metastasis and a new target for its treatment.
authors.affiliation: Department of Urology,  Mawangdui Hospital of Hunan Province, Changsha, China.
authors.forename: Tie-qiu
authors.initials: TQ
authors.lastname: Li
authors.forename: Yi-li
authors.initials: YL
authors.lastname: Teng
authors.forename: Ya-guang
authors.initials: YG
authors.lastname: Zou
authors.forename: Yu
authors.initials: Y
authors.lastname: Yang
authors.forename: Qi
authors.initials: Q
authors.lastname: Li
authors.forename: Xiang-ming
authors.initials: XM
authors.lastname: Mao
mesh_terms: D019295:Computational Biology; D057225:Data Mining; D015536:Down-Regulation; D006801:Humans; D008297:Male; D046228:Microarray Analysis; D053495:Osteopontin / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D019869:Phosphatidylinositol 3-Kinases / Q000378:metabolism; D011471:Prostatic Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology*; D015398:Signal Transduction; D051193:Toll-Like Receptors / Q000378:metabolism
chemical_list: D051193:Toll-Like Receptors; D053495:Osteopontin; D019869:Phosphatidylinositol 3-Kinases