MicroRNA expression profiles classify human cancers

被引：7906

作者：

Lu, J

Getz, G

Miska, EA

Alvarez-Saavedra, E

Lamb, J

Peck, D

Sweet-Cordero, A

Ebet, BL

Mak, RH

Ferrando, AA

Downing, JR

Jacks, T

Horvitz, HR

Golub, TR ^{[1
]}

机构：

[1] MIT, Broad Inst, Cambridge, MA 02141 USA

[2] Harvard Univ, Broad Inst, Cambridge, MA 02141 USA

[3] MIT, Howard Hughes Med Inst, Dept Biol, Cambridge, MA 02139 USA

[4] MIT, Ctr Canc Res, Cambridge, MA 02139 USA

[5] Dana Farber Canc Inst, Dept Pediat Oncol, Boston, MA 02115 USA

[6] Harvard Univ, Sch Med, Boston, MA 02115 USA

[7] St Jude Childrens Res Hosp, Dept Pathol, Memphis, TN 38105 USA

[8] Harvard Univ, Sch Med, Howard Hughes Med Inst, Boston, MA 02115 USA

来源：

NATURE | 2005年 / 435卷 / 7043期

关键词：

D O I：

10.1038/nature03702

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Recent work has revealed the existence of a class of small non-coding RNA species, known as microRNAs ( miRNAs), which have critical functions across various biological processes(1,2). Here we use a new, bead-based flow cytometric miRNA expression profiling method to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers. The miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours. We observe a general downregulation of miRNAs in tumours compared with normal tissues. Furthermore, we were able to successfully classify poorly differentiated tumours using miRNA expression profiles, whereas messenger RNA profiles were highly inaccurate when applied to the same samples. These findings highlight the potential of miRNA profiling in cancer diagnosis.

引用

页码：834 / 838

页数：5

共 30 条

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