[HTML][HTML] Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma
Genome medicine, 2015•Springer
Background Urothelial carcinoma of the bladder (UC) is a common malignancy. Although
extensive transcriptome analysis has provided insights into the gene expression patterns of
this tumor type, the mechanistic underpinnings of differential methylation remain poorly
understood. Multi-level genomic data may be used to profile the regulatory potential and
landscape of differential methylation in cancer and gain understanding of the processes
underlying epigenetic and phenotypic characteristics of tumors. Methods We perform …
extensive transcriptome analysis has provided insights into the gene expression patterns of
this tumor type, the mechanistic underpinnings of differential methylation remain poorly
understood. Multi-level genomic data may be used to profile the regulatory potential and
landscape of differential methylation in cancer and gain understanding of the processes
underlying epigenetic and phenotypic characteristics of tumors. Methods We perform …
Background
Urothelial carcinoma of the bladder (UC) is a common malignancy. Although extensive transcriptome analysis has provided insights into the gene expression patterns of this tumor type, the mechanistic underpinnings of differential methylation remain poorly understood. Multi-level genomic data may be used to profile the regulatory potential and landscape of differential methylation in cancer and gain understanding of the processes underlying epigenetic and phenotypic characteristics of tumors.
Methods
We perform genome-wide DNA methylation profiling of 98 gene-expression subtyped tumors to identify between-tumor differentially methylated regions (DMRs). We integrate multi-level publically available genomic data generated by the ENCODE consortium to characterize the regulatory potential of UC DMRs.
Results
We identify 5,453 between-tumor DMRs and derive four DNA methylation subgroups of UC with distinct associations to clinicopathological features and gene expression subtypes. We characterize three distinct patterns of differential methylation and use ENCODE data to show that tumor subgroup-defining DMRs display differential chromatin state, and regulatory factor binding preferences. Finally, we characterize an epigenetic switch involving the HOXA-genes with associations to tumor differentiation states and patient prognosis.
Conclusions
Genome-wide DMR methylation patterns are reflected in the gene expression subtypes of UC. UC DMRs display three distinct methylation patterns, each associated with intrinsic features of the genome and differential regulatory factor binding preferences. Epigenetic inactivation of HOX-genes correlates with tumor differentiation states and may present an actionable epigenetic alteration in UC.
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