首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Discriminating miRNA Profiles between Endometrioid Well- and Poorly-Differentiated Tumours and Endometrioid and Serous Subtypes of Endometrial Cancers
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Discriminating miRNA Profiles between Endometrioid Well- and Poorly-Differentiated Tumours and Endometrioid and Serous Subtypes of Endometrial Cancers

机译:区内甲状腺质阱和差异差异差的肿瘤和子宫内甲状腺症和子宫内膜癌的浆液亚型之间的miRNA曲线

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摘要

The discrimination of different subtypes of endometrial carcinoma (EC) is frequently problematic when using the current histomorphological classification; therefore, new markers for this differentiation are needed. Here, we examined differences in miRNA expression between well- and poorly-differentiated (grades 1 and 3) endometrioid endometrial carcinoma (EEC) and between EEC and serous endometrial carcinoma (SEC). The expression of 84 tumour-suppressor miRNAs was analysed by real-time polymerase chain reactions in 62 EC and 20 non-neoplastic endometrial specimens. The potential functions of the differentially expressed miRNAs were determined by bioinformatics analyses. The expression of let-7c-5p, miR-125b-5p, miR-23b-3p, and miR-99a-5p in grade 3 EEC was decreased compared to grade 1 EEC. To discriminate between EEC and SEC, let-7g-5p, miR-195-5p, miR-34a-5p, and miR-497-5p expression was significantly downregulated in SEC. In bioinformatic analyses, miRNAs that could discriminate grade 1 from grade 3 mainly targeted genes involved in PI3K-AKT signaling, whereas miRNAs that could discriminate EEC from SEC targeted genes involved in several signaling pathways, but mainly MAPK signaling. Taken collectively, our results indicate that the activation of certain signaling pathways can be useful in the molecular characterization of EEC and SEC.
机译:当使用目前的组织形态分类时,子宫内膜癌(EC)的不同亚型的鉴别是有问题的;因此,需要进行这种分化的新标记。在这里,我们检查了良好且差异差异(等级1和3)子宫内膜子宫内膜癌(EEC)和EEC和浆液子宫内膜癌(SEC)之间的miRNA表达的差异。通过62EC和20个非肿瘤子宫内膜标本中的实时聚合酶链反应分析84肿瘤抑制miRNA的表达。通过生物信息学分析确定差异表达的miRNA的潜在功能。与1级EEC相比,Let-7c-5p,miR-125b-5p,miR-23b-3p和miR-99a-5p的表达降低。为了区分EEC和SEC,Let-7G-5P,MIR-195-5P,MIR-34A-5P和MIR-497-5P表达在SEC中显着下调。在生物信息分析中,可以区分从3年级级别1级的miRNA,主要是涉及PI3K-AKT信号传导的靶向基因,而可以区分来自涉及几种信号通路的秒目标基因的eec的miRNA,但主要是Mapk信号传导。集体采取,我们的结果表明某些信号通路的激活可用于EEC和SEC的分子表征。

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