MicroRNA expression profiles classify human cancers
MicroRNA expression profiles classify human cancers
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DOI：
10.1038/nature03702
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发表时间：
2005-06-09
期刊：
影响因子：
64.8
通讯作者：
Golub, TR
中科院分区：
文献类型：
--
作者：
Lu, J;Getz, G;Golub, TR
最近的工作揭示了一类小的非编码RNA物种的存在，称为microRNA（miRNA），其在各种生物过程中具有关键功能（1，2）。在这里，我们使用一种新的基于微珠的流式细胞术miRNA表达谱分析方法，对来自334个样本（包括多种人类癌症）的217种哺乳动物miRNA进行了系统的表达分析。miRNA谱是令人惊讶的信息，反映了肿瘤的发育谱系和分化状态。与正常组织相比，我们观察到肿瘤中miRNA的普遍下调。此外，我们能够使用miRNA表达谱成功地对低分化肿瘤进行分类，而信使RNA谱在应用于相同样本时非常不准确。这些发现强调了miRNA谱在癌症诊断中的潜力。
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.