雄激素非依赖型前列腺癌特异性基因的文献挖掘与生物信息学分析
[Literature-mining and bioinformatic analysis of androgen-independent prostate cancer-specific genes].
作者信息
Li Tie-Qiu, Feng Chun-Qiong, Zou Ya-Guang, Shi Rong, Liang Shuang, Mao Xiang-Ming
机构信息
Department of Urology, Nanfang Hospital, Guangzhou, Guangdong 510515, China.
出版信息
Zhonghua Nan Ke Xue. 2009 Dec;15(12):1102-7.
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 effective means for its clinical diagnosis and treatment.
METHODS
Eats 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 including GATHER, PANTHER, STRING and ToppGene.
RESULTS
A total of 128 genes specifically expressed in AIPC were identified, 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, apoptosis, oncogenesis, cell proliferation and cell differentiation.
CONCLUSION
Such genes as MMPJ, EGFR, MMP2, ADM, MIF, IGFBP3, 112, MET, BAD, RHOA, SPP1, EP300, SMAD3, RAE1, PTK2, and TGFB2 may play important roles in transforming ADPC into AIPC.
目的
比较去雄激素依赖型和雄激素依赖型前列腺癌（ADPC）中基因表达的差异，更深入地了解去雄激素依赖型前列腺癌（AIPC）的分子机制，并找到其临床诊断和治疗的有效方法。
方法
使用FACTA工具挖掘PubMed获取与前列腺癌高度相关的基因集，并使用包括GATHER、PANTHER、STRING和ToppGene在内的一系列生物信息学工具分析AIPC中特异性表达的基因。
结果
共鉴定出128个在AIPC中特异性表达的基因，相比之下，ADPC特异性表达的基因有23个。生物信息学分析表明，AIPC特异性基因在细胞信号转导、细胞黏附、细胞凋亡、肿瘤发生、细胞增殖和细胞分化等重要生物学过程中发挥着关键作用。
结论
MMPJ、EGFR、MMP2、ADM、MIF、IGFBP3、112、MET、BAD、RHOA、SPP1、EP300、SMAD3、RAE1、PTK2和TGFB2等基因可能在ADPC向AIPC转化过程中发挥重要作用。
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