Cancer DiscoveryCancer BiologyPeer-reviewed journal article
The Landscape of Prostate Tumour Methylation
Jaron ArbetiD, Takafumi N. YamaguchiiD, Yu-Jia ShiahiD, Rupert Hugh-WhiteiD, Adriana Wiggins, Jieun OhiD, Nicole ZeltseriD, Tsumugi GeboiD, Adrien FoucaliD, Robert LesurfiD, Chol-Hee Jung, Rachel M.A. Dang, Raag AgrawaliD, Julie Livingstone, Adriana SalcedoiD, Cindy Q. Yao, Shadrielle M. G. EspirituiD, Kathleen E. HoulahaniD, Fouad Yousif, Lawrence E. HeisleriD, Anthony T. Papenfuss, Michael Fraser, Bernard J. PopeiD, Amar Kishan, Alejandro Berlin, , Paul Christopher BoutrosiD
Abstract
Prostate cancer is characterized by profound clinical and molecular heterogeneity. While its genomic heterogeneity is well-characterized, its epigenomic heterogeneity remains less understood. We therefore created a compendium of 3,001 multi-ancestry prostate methylomes spanning normal tissue through localized disease of all grades to poly-metastatic disease. A subset of 884 samples had multi-omic DNA and/or RNA characterization. We identify four epigenomic subtypes that risk-stratify patients and reflect distinct evolutionary trajectories. We demonstrate extensive regulatory interplay between DNA copy number and methylation, with transcriptional consequences that vary across genes and disease stages. We define epigenetic dysregulation signatures for 15 important clinico-molecular features, creating predictive models for each. For example, we identify specific epigenetic features that predict patient outcome and are synergistic with clinical prognostic features. These results define a complex interplay between tumour genetics and epigenetics that converges to modify gene-expression programs and clinical presentation, in part through modulation of epigenetic aging.
- organism: human
- assay: DNA methylation
- research focus: clustering
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 2
- FWCI
- 2.07
- Field percentile
- top 22%
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