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EMT is the dominant program in human colon cancer
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 (P...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3032646/ https://www.ncbi.nlm.nih.gov/pubmed/21251323 http://dx.doi.org/10.1186/1755-8794-4-9 |
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author | Loboda, Andre Nebozhyn, Michael V Watters, James W Buser, Carolyne A Shaw, Peter Martin Huang, Pearl S Van't Veer, Laura Tollenaar, Rob AEM Jackson, David B Agrawal, Deepak Dai, Hongyue Yeatman, Timothy J |
author_facet | Loboda, Andre Nebozhyn, Michael V Watters, James W Buser, Carolyne A Shaw, Peter Martin Huang, Pearl S Van't Veer, Laura Tollenaar, Rob AEM Jackson, David B Agrawal, Deepak Dai, Hongyue Yeatman, Timothy J |
author_sort | Loboda, Andre |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-3032646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30326462011-02-03 EMT is the dominant program in human colon cancer Loboda, Andre Nebozhyn, Michael V Watters, James W Buser, Carolyne A Shaw, Peter Martin Huang, Pearl S Van't Veer, Laura Tollenaar, Rob AEM Jackson, David B Agrawal, Deepak Dai, Hongyue Yeatman, Timothy J BMC Med Genomics Research Article 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. BioMed Central 2011-01-20 /pmc/articles/PMC3032646/ /pubmed/21251323 http://dx.doi.org/10.1186/1755-8794-4-9 Text en Copyright ©2011 Loboda et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Loboda, Andre Nebozhyn, Michael V Watters, James W Buser, Carolyne A Shaw, Peter Martin Huang, Pearl S Van't Veer, Laura Tollenaar, Rob AEM Jackson, David B Agrawal, Deepak Dai, Hongyue Yeatman, Timothy J EMT is the dominant program in human colon cancer |
title | EMT is the dominant program in human colon cancer |
title_full | EMT is the dominant program in human colon cancer |
title_fullStr | EMT is the dominant program in human colon cancer |
title_full_unstemmed | EMT is the dominant program in human colon cancer |
title_short | EMT is the dominant program in human colon cancer |
title_sort | emt is the dominant program in human colon cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3032646/ https://www.ncbi.nlm.nih.gov/pubmed/21251323 http://dx.doi.org/10.1186/1755-8794-4-9 |
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