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EMT 是人类结肠癌中的主要程序。

EMT is the dominant program in human colon cancer.

机构信息

Merck, Sharp and Dohme, West Point, PA 19486, USA.

出版信息

BMC Med Genomics. 2011 Jan 20;4:9. doi: 10.1186/1755-8794-4-9.

Abstract

BACKGROUND

Colon cancer has been classically described by clinicopathologic features that permit the prediction of outcome only after surgical resection and staging.

METHODS

We performed an unsupervised analysis of microarray data from 326 colon cancers to identify the first principal component (PC1) of the most variable set of genes. PC1 deciphered two primary, intrinsic molecular subtypes of colon cancer that predicted disease progression and recurrence.

RESULTS

Here we report that the most dominant pattern of intrinsic gene expression in colon cancer (PC1) was tightly correlated (Pearson R = 0.92, P < 10(-135)) with the EMT signature-- both in gene identity and directionality. In a global micro-RNA screen, we further identified the most anti-correlated microRNA with PC1 as MiR200, known to regulate EMT.

CONCLUSIONS

These data demonstrate that the biology underpinning the native, molecular classification of human colon cancer--previously thought to be highly heterogeneous-- was clarified through the lens of comprehensive transcriptome analysis.

摘要

背景

结肠癌已被临床病理特征进行了经典描述,这些特征仅在手术切除和分期后才能预测预后。

方法

我们对 326 例结肠癌的基因表达谱芯片数据进行了无监督分析,以确定最具变异性的基因集的第一主成分(PC1)。PC1 解析了两种主要的结肠癌内在分子亚型,可预测疾病进展和复发。

结果

在这里,我们报告在结肠癌中(PC1)最主要的内在基因表达模式与 EMT 特征紧密相关(Pearson R = 0.92,P < 10(-135))-在基因身份和方向性上都是如此。在全局 microRNA 筛选中,我们进一步确定了与 PC1 最反相关的 microRNA 为 MiR200,已知其可调节 EMT。

结论

这些数据表明,通过全面转录组分析的视角,阐明了先前被认为高度异质性的人类结肠癌固有分子分类所依据的生物学基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd7d/3032646/b2ae76d4259d/1755-8794-4-9-1.jpg

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