Literature-Mining and Bioinformatic Analysis of Androgen-Independent Prostate Cancer-Specific Genes
LI Tie-qiu
FENG Chun-qiong
ZOU Ya-guang
SHI Rong
LIANG Shuang
MAO Xiang-ming
Abstract：Objective:To compare the differences of the gene expressions in androgen-independent and androgen-dependent prostate cancer(ADPC),gain a deeper insight into the molecular mechanism of androgen-independent prostate cancer(AIPC),and find effec-tive means for its clinical diagnosis and treatment. Methods:Lists of genes highly-associated with prostate cancer were obtained by mining PubMed with the FACTA tool,and the specifically expressed genes in AIPC were analyzed with a set of bioinformatic tools in-cluding GATHER,PANTHER,STRING and ToppGene. Results:A total of 128 genes specifically expressed in AIPC were identi-fied,as compared with 23 that were specific to ADPC.Bioinformatic analysis showed the essential roles of AIPC-specific genes in such important biological processes as cell signal transduction,cell adhesion,apeptosis,oncogenesis,cell proliferation and cell differentia-tion. Conclusion:Such genes as MMP9,EGFR,MMP2,ADM,MIF,IGFBP3,IL2,MET,BAD,RHOA,SPP1,EP300,SMAD3,RAE1,PTK2,and TGFB2 may play important roles in transforming ADPC into AIPC. Nati J Androl,2009,15(12):1102-1107
Keywords：bioinformaticsprostate cancerandrogen-independenceliterature-miningspecifically expressed gene
Publication Date：2009-11-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1102-1107 )