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The highly expressed secreted phosphoprotein 1 gene in prostate cancer metastasis: a microarray-based bioinformatic analysis

Li, T.-q.; Teng, Y.-l.; Zou, Y.-g.; Yang, Y.; Li, Q.; Mao, X.-m.

Zhonghua Nan Ke Xue 20(11): 984-990

2014

ISSN/ISBN: 1009-3591
PMID: 25577832
Document Number: 677573
To investigate the composition, function, and regulatory mechanisms of the secreted phosphoprotein 1 (SPP1) gene in metastatic prostate cancer. 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. 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. 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.

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