子宫内膜样腺癌组织中microRNA差异表达谱分析  

Differential expressions of microRNAs in endometrioid endometrial adenocarcinoma

作　　者：梁静[1] 张贵宇[1] 马本红[1] 秦绪颖[2] 李越[1] 赵萌[1] 

机构地区：[1]山东大学齐鲁医院妇产科,济南250012 [2]山东省聊城市人民医院妇产科,山东聊城252000

出　　处：《山东大学学报（医学版）》2011年第8期90-95,共6页Journal of Shandong University:Health Sciences

基　　金：山东省科技攻关项目资助课题(2008GG1000205)

摘　　要：目的探讨子宫内膜样腺癌组织与正常内膜组织中的m icroRNA(miRNA)表达谱及表达差异,分析差异m iRNA在子宫内膜样腺癌发病过程中的作用。方法使用m icroRNA芯片筛选出子宫内膜样腺癌组织中差异表达明显的miRNA,使用实时定量逆转录聚合酶链反应(realtime RT-PCR)验证后,通过预测网站预测其靶基因。应用微阵预测分析(PAM)工具预测一组可用于区分不同分化子宫内膜样腺癌的m iRNA。结果共有18个m iRNA在子宫内膜样腺癌中表达明显上调,31个明显下调。PTEN、FOX家族等52种基因被预测为差异表达的m iRNA的靶基因。mir-200c等9种m iRNA被预测为一组可区分不同分化子宫内膜样腺癌的生物标记。结论筛选出多种子宫内膜样腺癌中有特殊研究价值的miRNA预测靶基因,为子宫内膜样腺癌的进一步研究提供了有效的依据。Objective To explore differential expression of microRNA （miRNA） profile in endometrioid endometrial adenocarcinoma（EEC） compared with normal endometrium and to explore the role of these miRNAs in EEC. Methods miRNA microarray was used to detect differential expressions of miRNAs, and real-time-PCR was used to verify the results. Then targets of these miRNAs were predicted through Web databases. Prediction analysis for microarray（PAM） was used to predict a group of miRNA biomarkers, which could be used to identify different differentiation samples of EEC. Resdts 18 miRNAs were obviously up-regulated and 31 obviously down-regulated in EEC. 52 genes such as PTEN and FOX were predicted as targets of these differently regulated miRNAs, mir-200c and other 8 miRNAs were considered as members of the biomarker group. Conclusions Several miRNAs and predicted targets of special research value are picked out. They provide valid evidence for further study of EEC.

关 键 词：miRNA 子宫内膜样腺癌 MIRNA芯片 靶基因 微阵预测分析 

分 类 号：R737.3[医药卫生—肿瘤]