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.
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 humancolon cancer--previously thought to be highly heterogeneous-- was clarified through the lens of comprehensive transcriptome analysis.
Authors: Yu-Hsin Lin; Jan Friederichs; Michael A Black; Jörg Mages; Robert Rosenberg; Parry J Guilford; Vicky Phillips; Mark Thompson-Fawcett; Nikola Kasabov; Tumi Toro; Arend E Merrie; Andre van Rij; Han-Seung Yoon; John L McCall; Jörg Rüdiger Siewert; Bernhard Holzmann; Anthony E Reeve Journal: Clin Cancer Res Date: 2007-01-15 Impact factor: 12.531
Authors: Christine Desmedt; Fanny Piette; Sherene Loi; Yixin Wang; Françoise Lallemand; Benjamin Haibe-Kains; Giuseppe Viale; Mauro Delorenzi; Yi Zhang; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian L Harris; Jan G M Klijn; John A Foekens; Fatima Cardoso; Martine J Piccart; Marc Buyse; Christos Sotiriou Journal: Clin Cancer Res Date: 2007-06-01 Impact factor: 12.531
Authors: Maria S Pino; Hirotoshi Kikuchi; Min Zeng; Maria-Teresa Herraiz; Isabella Sperduti; David Berger; Do-Youn Park; A John Iafrate; Lawrence R Zukerberg; Daniel C Chung Journal: Gastroenterology Date: 2009-12-21 Impact factor: 22.682
Authors: Steven Eschrich; Ivana Yang; Greg Bloom; Ka Yin Kwong; David Boulware; Alan Cantor; Domenico Coppola; Mogens Kruhøffer; Lauri Aaltonen; Torben F Orntoft; John Quackenbush; Timothy J Yeatman Journal: J Clin Oncol Date: 2005-05-20 Impact factor: 44.544
Authors: M Kruhøffer; J L Jensen; P Laiho; L Dyrskjøt; R Salovaara; D Arango; K Birkenkamp-Demtroder; F B Sørensen; L L Christensen; L Buhl; J-P Mecklin; H Järvinen; T Thykjaer; F P Wikman; F Bech-Knudsen; M Juhola; N N Nupponen; S Laurberg; C L Andersen; L A Aaltonen; T F Ørntoft Journal: Br J Cancer Date: 2005-06-20 Impact factor: 7.640
Authors: Dung-Tsa Chen; Jonathan M Hernandez; David Shibata; Susan M McCarthy; Leigh Ann Humphries; Whalen Clark; Abul Elahi; Mike Gruidl; Domenico Coppola; Timothy Yeatman Journal: J Gastrointest Surg Date: 2012-02-24 Impact factor: 3.452