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人类乳腺肿瘤的分子图谱

Molecular portraits of human breast tumours.

作者信息

Perou C M, Sørlie T, Eisen M B, van de Rijn M, Jeffrey S S, Rees C A, Pollack J R, Ross D T, Johnsen H, Akslen L A, Fluge O, Pergamenschikov A, Williams C, Zhu S X, Lønning P E, Børresen-Dale A L, Brown P O, Botstein D

机构信息

Department of Genetics, Stanford University School of Medicine, California 94305, USA.

出版信息

Nature. 2000 Aug 17;406(6797):747-52. doi: 10.1038/35021093.

Abstract

Human breast tumours are diverse in their natural history and in their responsiveness to treatments. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. Here we have characterized variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. These patterns provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample. Sets of co-expressed genes were identified for which variation in messenger RNA levels could be related to specific features of physiological variation. The tumours could be classified into subtypes distinguished by pervasive differences in their gene expression patterns.

摘要

人类乳腺肿瘤在其自然史和对治疗的反应性方面存在差异。转录程序的变化是人类细胞和肿瘤生物学多样性的主要原因。在每个细胞中,信号转导和调节系统将信息从细胞的特性传递到其环境状态,从而控制基因组中每个基因的表达水平。在这里,我们使用代表8102个人类基因的互补DNA微阵列,对来自42个不同个体的65个人类乳腺肿瘤手术标本中的基因表达模式变化进行了表征。这些模式为每个肿瘤提供了独特的分子画像。其中20个肿瘤在接受16周的阿霉素化疗前后进行了两次采样,还有两个肿瘤与同一患者的淋巴结转移瘤配对。来自同一个体的两个肿瘤样本中的基因表达模式几乎总是比它们与任何其他样本的模式彼此更相似。鉴定出了共表达基因集,其信使RNA水平的变化可能与生理变化的特定特征相关。这些肿瘤可以根据其基因表达模式的普遍差异分为不同的亚型。

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