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| 基于文献挖掘的雄激素非依赖型前列腺癌特异表达基因的生物信息学分析 | |
| 引用本文： | 李铁求,冯春琼,邹亚光,石嵘,梁爽,毛向明. 基于文献挖掘的雄激素非依赖型前列腺癌特异表达基因的生物信息学分析[J]. 中华男科学杂志, 2009, 15(12): 1102-1107 |
| 作者姓名： | 李铁求 冯春琼 邹亚光 石嵘 梁爽 毛向明 |
| 作者单位： | 1. 南方医科大学,附属南方医院泌尿外科,广东广州510515 2. 南方医科大学,基因工程研究所,广东广州510515 3. 南方医科大学,附属南方医院口腔科,广东广州510515 |
| 摘 要： | 目的:比较雄激素依赖型与非依赖型前列腺癌的基因表达差异,加深对雄激素非依赖型前列腺癌形成的分子机制的认识,为前列腺癌防治找到新的有效手段。方法:通过FACTA工具从PubMed找出前列腺癌的相关基因进行分类,利用GATHER、PANTHER、STRING和ToppGene等在线工具对雄激素非依赖型前列腺癌特异表达基因进行生物信息学分析。结果:筛选雄激素非依赖型前列腺癌特异基因128个,这些特异表达基因在细胞信号转导、凋亡、肿瘤生成、细胞粘附、细胞增殖和分化等生物学过程起着重要作用。结论:通过生物信息学对雄激素非依赖型前列腺癌特异表达基因的挖掘发现,MMP9、EGFR、MMP2、ADM、MIF、IGFBP3、IL2、MET、BAD、RHOA、SPP1、EP300、SMAD3、RAF1、PTK2、TGFB2等基因在雄激素依赖型转变成非依赖型前列腺癌中可能起着重要作用。 |
| 关 键 词： | 生物信息学 前列腺癌 雄激素非依赖 文献挖掘 特异基因 |
Literature-Mining and Bioinformatic Analysis of Androgen-Independent Prostate Cancer-Specific Genes |
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| LI Tie-qiu,FENG Chun-qiong,ZOU Ya-guang,SHI Rong,LIANG Shuang,MAO Xiang-ming. Literature-Mining and Bioinformatic Analysis of Androgen-Independent Prostate Cancer-Specific Genes[J]. National journal of andrology, 2009, 15(12): 1102-1107 | |
| Authors: | LI Tie-qiu FENG Chun-qiong ZOU Ya-guang SHI Rong LIANG Shuang MAO Xiang-ming |
| Affiliation: | LI Tie-qiu, FENG Chun-qiong, ZOU Ya-guang, SHI Rong, LIANG Shuang, MAO Xiang-ming( 1. Department of Urology, Nanfang Hospital; 2. Institute of Gene Engineering; 3. Department of Stomatology, Nanfang Hospital, Nanfang Medical University, Guangzhou, Guangdong 510515, China) |
| 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: | bioinformatics prostate cancer androgen-independence literature-mining specifically expressed gene |
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