RT Journal A1 Easwaran, Hariharan A1 Johnstone, Sarah A1 VanNeste, Leander A1 Ohm, Joyce A1 Mosbruger, Tim A1 Wang, Qiuju A1 Aryee, Martin J A1 Joyce, Patrick A1 Ahuja, Nita A1 Weisenberger, Dan A1 Collisson, Eric A1 Zhu, Jing-chun A1 Yegnasubramanian, Srinivasan A1 Matsui, William A1 Baylin, Stephen B T1 A DNA hypermethylation module for the stem/progenitor cell signature of cancer JF Genome Research JO Genome Research YR 2012 FD March 05 DO 10.1101/gr.131169.111 SP gr.131169.111 UL http://genome.cshlp.org/content/early/2012/03/05/gr.131169.111.abstract AB Many DNA-hypermethylated cancer genes are occupied by the polycomb (PcG) repressor complex in embryonic stem cells (ESC). Their prevalence in the full spectrum of cancers, the exact context of chromatin involved, and their status in adult cell renewal systems are unknown. Using a genome-wide analysis, we demonstrate that approximately 75% of hypermethylated genes are marked by PcG in the context of bivalent chromatin in both ESC and adult stem/progenitor cells. A large number of these genes are key developmental regulators and a subset, which we call the "DNA hypermethylation module", comprise a portion of the PcG target genes that are downregulated in cancer. Genes with bivalent chromatin have a low, poised gene transcription state that has been shown to maintain stemness and self-renewal in normal stem cells. However, when DNA-hypermethylated in tumors, we find these genes are further repressed. We also show that the methylation status of these genes can cluster important subtypes of colon and breast cancers. By evaluating the subsets of genes that are methylated in different cancers with consideration of their chromatin status in ESCs, we provide evidence that DNA-hypermethylation preferentially targets the subset of PcG genes that are developmental regulators, and this may contribute to the stem-like state of cancer. Additionally, the capacity for global methylation profiling to cluster tumors by phenotype may have important implications for further refining tumor behavior patterns that may ultimately aid therapeutic interventions.