4.7 Article

Prognostic value of mature microRNA-21 and microRNA-205 overexpression in non-small cell lung cancer by quantitative real-time RT-PCR

期刊

CLINICAL CHEMISTRY
卷 54, 期 10, 页码 1696-1704

出版社

OXFORD UNIV PRESS INC
DOI: 10.1373/clinchem.2007.101741

关键词

-

资金

  1. National and Kapodistrian University of Athens

向作者/读者索取更多资源

BACKGROUND: microRNA (miRNA) expression profiles are being intensively investigated for their involvement in carcinogenesis. We evaluated the prognostic value of mature microRNA-21 (miR-21) and mature microRNA-205 (miR-205) overexpression in non-small cell lung cancer (NSCLC). PATIENTS AND METHODS: We studied 48 pairs of NSCLC fresh frozen tissue specimens collected at time Of Surgery and before chemotherapy. Highly specific amplification and quantification of mature miR-21 and mature miR-205 was achieved using looped real time RT-PCR. RESULTS: miRNA expression, determined by real time RT-PCR, was defined by Delta Delta Ct measurements. We detected overexpression of mature miR-21 in 25 (52.0%) of the 48 NSCLC paired specimens and overexpression of miR-205 in 31 (64.6%). Overexpression was assessed after comparison of miRNA expression in NSCLC tissues and in their corresponding noncancerous tissues with respect to U6 expression. During the follow-up period, 29 of 48 (60.4%) patients relapsed, and 23 of 48 died (47.9%). Mature miR-21 was upregulated in 16 of 29 (55.2%) patients who relapsed and 15 of 23 (65.2%) patients who died. Mature miR-205 was overexpressed in 19 of 29 patients who relapsed (65.5%) and 15 of 23 patients who died (65.2%). Mature miR-21 overexpression correlated with overall survival (OS) of the patients (P = 0.027), whereas overexpression of mature miR-205 did not. CONCLUSIONS: Our results suggest that overexpression of mature miR-21 is an independent negative prognostic factor for OS in NSCLC patients. (c) 2008 American Association for Clinical Chemistry.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据