MicroRNA expression profiles classify human cancers

2011-09-21 00:00 来源:丁香园 作者:
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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   Nature 2005,435(7043)834-838 引用次数 1770

这篇发表于2005年的Nature杂志的文章截至2011年8月15日已经被引用了1770次。该文章探讨了多种肿瘤的miRNA profile,发现其准确性远远高于mRNA profile,提示miRNA profile的潜在肿瘤诊断价值。

【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.

免费下载原文http://www.nature.com/nature/journal/v435/n7043/pdf/nature03702.pdf

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