EMT is the dominant program in human colon cancer

被引：247

作者：

Loboda, Andre ^{[2
]}

Nebozhyn, Michael V. ^{[2
]}

Watters, James W. ^{[2
]}

Buser, Carolyne A. ^{[3
]}

Shaw, Peter Martin ^{[2
]}

Huang, Pearl S. ^{[3
]}

Van't Veer, Laura ^{[6
]}

Tollenaar, Rob A. E. M. ^{[7
]}

Jackson, David B. ^{[5
]}

Agrawal, Deepak ^{[1
]}

Dai, Hongyue ^{[4
]}

Yeatman, Timothy J. ^{[1
]}

机构：

[1] H Lee Moffitt Canc Ctr & Res Inst, Tampa, FL 33612 USA

[2] Merck Sharp & Dohme Ltd, West Point, PA 19486 USA

[3] Merck Res Labs, N Wales, PA 19454 USA

[4] Merck Sharp & Dohme Ltd, Boston, MA 02115 USA

[5] LIFE Biosyst GmbH, D-69115 Heidelberg, Germany

[6] Netherlands Canc Inst, NL-1066 CX Amsterdam, Netherlands

[7] Leiden Univ, Med Ctr, NL-2300 RC Leiden, Netherlands

来源：

BMC MEDICAL GENOMICS | 2011年 / 4卷

基金：

美国国家卫生研究院;

关键词：

GENE-EXPRESSION SIGNATURES; BREAST-CANCER; COLORECTAL-CANCER; MESENCHYMAL TRANSITION; MOLECULAR SUBTYPES; MIR-200; FAMILY; PREDICT; PROFILES; PROGRESSION; METASTASIS;

D O I：

10.1186/1755-8794-4-9

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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.

引用

页数：9

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