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实时荧光定量RT-PCR检测良性前列腺增生与前列腺癌相关基因表达的临床意义
引用本文:钟惟德,李俊玲,何慧婵,江福能,刘文华,毕学成,彭志强,刘良式,魏鸿蔼. 实时荧光定量RT-PCR检测良性前列腺增生与前列腺癌相关基因表达的临床意义[J]. 中华泌尿外科杂志, 2005, 26(9): 615-618
作者姓名:钟惟德  李俊玲  何慧婵  江福能  刘文华  毕学成  彭志强  刘良式  魏鸿蔼
作者单位:1. 510180 广州市第一人民医院泌尿外科
2. 中山大学生命科学院
基金项目:广东省自然科学基金项目资助(04003650),广州市重点科技计划项目资助(200323-E4053)
摘    要:目的应用实时荧光定量RT-PCR检测良性前列腺增生(BPH)与前列腺癌相关基因表达。方法通过实时荧光定量RT-PCR对9个前列腺癌相关基因(KLK3、KLK2、KLK11,pim-1,hepsin,PSMA,AR,p27,IGF-1)在前列腺正常组织、BPH组织和癌组织(PCa)定量表达,分析其特异性的差异。结果检测9个选定相关基因中发现KLK2,pim-1,AR和IGF-1在这3种组织中的表达差异有统计学意义(P<0.01)。结论KLK2,pim-1,AR和IGF-1作为前列腺癌组织特异性的分子标记物组合,有望提高前列腺癌早期诊断的准确性。

关 键 词:前列腺肿瘤 实时定量RT-PCR 肿瘤学 基因表达 良性前列腺增生(BPH) 实时荧光定量RT-PCR 定量RT-PCR检测 相关基因表达 前列腺癌 临床意义
收稿时间:2004-12-26
修稿时间:2004-12-26

Study on the expression of BPH and prostate cancer related genes using real-time quantitative RT-PCR
ZHONG Wei-de,LI Jun-ling,HE Hui-chan,WANG Fu-neng,LIU Wen-hua,BI Xue-cheng,PENG Zhi-qiang,LIU Liang-shi,WEI Hong-ai. Study on the expression of BPH and prostate cancer related genes using real-time quantitative RT-PCR[J]. Chinese Journal of Urology, 2005, 26(9): 615-618
Authors:ZHONG Wei-de  LI Jun-ling  HE Hui-chan  WANG Fu-neng  LIU Wen-hua  BI Xue-cheng  PENG Zhi-qiang  LIU Liang-shi  WEI Hong-ai
Abstract:Objective To determine the expression of pr ostate hyperplasia- and cancer-related genes by real-time quantitative RT-PC R and to screen for those which can be used for clinical diagnosis of prostate c ancer. Methods Using real-time quantitative RT-PCR,the expression of 9 genes including KLK3,KLK2,KLK11,pim-1,hepsin,PSMA,AR,p27,IG F-1 in 3 prostate tissues,ie,normal tissue,BPH tissue and prostate cancer tissu e,were quantitated and their specifically differential expressions were analyzed . Results Of the 9 genes tested,4 genes,ie,KLK2, pim-1, AR and IGF-1,were differentially expressed in the 3 tissues.The differences wer e statistically significant (P<0.01). Conclusions Th e combination of KLK2,pim-1,AR and IGF-1 which are specific molecular markers of prostate cancer tissue may improve the rate of early diagnosis of prostate ca ncer.
Keywords:Prostatic neoplasms   Real-time quantitative RT-PCR   Oncology   Gene expression
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