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山东大学学报(医学版) ›› 2011, Vol. 49 ›› Issue (8): 90-95.

• 论文 • 上一篇    下一篇

子宫内膜样腺癌组织中microRNA差异表达谱分析

梁静1,张贵宇1,马本红1,秦绪颖2,李越1,赵萌1   

  1. 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
  • 收稿日期:2011-02-11 出版日期:2011-08-10 发布日期:2011-08-10
  • 通讯作者: 张贵宇,男,(1963- ),教授,主要从事妇科肿瘤的研究。E-mail:zgy5566@yahoo.com.cn
  • 作者简介:梁静,女,(1985),硕士研究生,主要从事妇科肿瘤的研究。
  • 基金资助:

    山东省科技攻关项目资助课题(2008GG1000205)。

Differential expressions of microRNAs in endometrioid  endometrial adenocarcinoma

LIANG Jing1, ZHANG Guiyu1, MA Benhong1, QIN Xuying1, LI Yue2, ZHAO Meng1   

  1. 1. Department of Gynaecology and Obstetrics, Qilu Hospital of Shandong University, Jinan 250012, China;
    2. Department of Gynaecology and Obstetrics, Liaocheng People′s Hospital, Liaocheng 252000, Shandong, China
  • Received:2011-02-11 Online:2011-08-10 Published:2011-08-10

摘要:

目的       探讨子宫内膜样腺癌组织与正常内膜组织中的microRNA(miRNA)表达谱及表达差异,分析差异miRNA在子宫内膜样腺癌发病过程中的作用。方法      使用microRNA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(real time 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miRNA。结果      共有18个miRNA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miRNA的靶基因。mir-200c等9种miRNA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。

关键词: miRNA;子宫内膜样腺癌;miRNA芯片;靶基因;微阵预测分析

Abstract:

Objective         To explore differential expression of microRNA(miRNA) profile in endometrioid endometrial adenocarcinoma(EEC) compared with the normal endometrium and to explore the role of these miRNAs in EEC. MethodsmiRNA 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. Results      18 miRNAs were obviously up-regulated and 31 obviously down-regulated in EEC. 52 genes like 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.

Key words: MicroRNA; Endometrioid endometrial adenocarcinoma; miRNA microarray; Target gene; Prediction analysis for microarray

中图分类号: 

  • R737.3
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