Ontology highlight
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 wit
SUBMITTER: Loboda A
PROVIDER: S-EPMC3032646 | biostudies-literature | 2011 Jan
REPOSITORIES: biostudies-literature