Insights from Multidimensional Analyses of the Pan-Cancer DNA Methylome Heterogeneity and the Uncanonical CpG-gene Associations.

Although the DNA methylome profiles have been available in large cancer cohorts such as The Cancer Genome Atlas (TCGA), integrative analysis of the DNA methylome architectures in a pan-cancer manner remains limited. In the present study, we aimed to systematically dissect the insightful features related to the inter-tumoral DNA methylome heterogeneity in a pan-cancer context of 21 cancers in TCGA. First, pan-cancer clustering of the DNA methylomes revealed convergence of cancers and, meanwhile, new classifications of cancer subtypes, which are often associated to prognostic differences. Next, within each type of cancer, we showed that the transcription factor (TF) genes tend to bear more dynamic promoter DNA methylation profiles than the other genes, which serves as a potential source of the transcriptome heterogeneity in cancers. Finally, we found unanticipated significant numbers of the non-canonical promoter CpG sites that are positively correlated with the gene expression. Distribution patterns of these CpG sites in the CpG islands, ChIP-seq, DNaseI-seq, PMD regions and histone modification landscapes suggested against a pervasive mechanism of transcriptional activation due to mCpG-dependent binding of TFs, which is not in complete agreement with previous hypothesis. In summary, our deep mining of the highly heterogeneous DNA methylome data in a pan-cancer context generated novel insights into the architecture of cancer epigenetics and provided a series of resources for further investigations in the related fields of cancer genomics and epigenetics.