Home Neoplasma 2018 Neoplasma Vol.65, No.2, p.253-261, 2018

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Founded: 1954
ISSN 0028-2685
ISSN 1338-4317 (online)

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Neoplasma Vol.65, No.2, p.253-261, 2018

Title: An extensive study of the mechanism of prostate cancer metastasis
Author: Y. WANG, W. GUO, H. XU, X. ZHU, T. YU, Z. JIANG, Q. JIANG, X. GANG

Abstract: The study aimed to identify the pivotal genes and pathways involved in prostate cancer metastasis. Using the expression profile dataset GSE7930, downloaded from the Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) between primary and highly metastatic prostate cell samples were screened, followed by functional analysis and tumor associated genes (TAG) screening. Protein-protein interaction (PPI) network of DEGs was constructed and module analysis was performed. The expression of DEGs and pathway related genes were evaluated by PCR analysis and the migra- tion ability of prostate tumor cells was observed after FABP4-siRNA blocking. Upregulated FABP4 and GK were signifi- cantly enriched in the PPAR signaling pathway, whereas downregulated IGFBP3 and THBS1 were involved in p53 signaling pathway. Among the identified DEGs, 4 downregulated genes (IGFBP3, NPP4B, THBS1, and PCDH1) and 2 upregulated genes (GJA1 and TUSC3) were TAGs. The module was associated with focal adhesion, ECM-receptor interaction, p53 signaling, and gap junction pathways with the hub node GJA1. After FABP4 silencing by siRNAs in LNcap and metastatic DU-145 cells, the numbers of migrated cells were all significantly declined. The expressions of IGFBP3, TP53 and PPAR were significantly lower in DU-145 cells than in LNcap cells. In conclusion, FABP4, IGFBP3, THBS1, and GJA1 were determined to be potential markers of prostate cancer cell metastasis, and P53, PPAR and gap junction pathways were found to play important roles in prostate cancer cell metastasis. This study may provide helpful guidelines for clinical management.

Keywords: metastasis, prostate cancer, microarray profile, differentially expressed genes, tumor associated genes
Published online: 13-Mar-2018
Year: 2018, Volume: 65, Issue: 2 Page From: 253, Page To: 261
doi:10.4149/neo_2018_161217N648
Price: 21.60 €






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