TY - UNPB
T1 - The Landscape of Prostate Tumour Methylation
AU - Arbet, Jaron
AU - Yamaguchi, Takafumi N
AU - Shiah, Yu-Jia
AU - Hugh-White, Rupert
AU - Wiggins, Adriana
AU - Oh, Jieun
AU - Gebo, Tsumugi
AU - Foucal, Adrien
AU - Lesurf, Robert
AU - Jung, Chol-Hee
AU - Dang, Rachel M A
AU - Agrawal, Raag
AU - Livingstone, Julie
AU - Salcedo, Adriana
AU - Yao, Cindy Q
AU - Espiritu, Shadrielle Melijah G
AU - Houlahan, Kathleen E
AU - Yousif, Fouad
AU - Heisler, Lawrence E
AU - Papenfuss, Anthony T
AU - Fraser, Michael
AU - Pope, Bernard
AU - Kishan, Amar
AU - Berlin, Alejandro
AU - Chua, Melvin L K
AU - Corcoran, Niall M
AU - van der Kwast, Theodorus
AU - Hovens, Christopher M
AU - Bristow, Robert G
AU - Boutros, Paul C
PY - 2025/4/29
Y1 - 2025/4/29
N2 - 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 ploidy and DNA methylation, with transcriptional consequences that vary across genes and disease stages. We define the epigenetic dysregulation signatures of the 15 most important clinico-molecular features, creating predictive models for each. For example, we identify specific epigenetic features that predict patient outcome and that are synergistic with clinico-genomic prognostic features. These results define a complex interplay between tumour genetics and epigenetics that converges to modify gene-expression programs and clinical presentation.
AB - 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 ploidy and DNA methylation, with transcriptional consequences that vary across genes and disease stages. We define the epigenetic dysregulation signatures of the 15 most important clinico-molecular features, creating predictive models for each. For example, we identify specific epigenetic features that predict patient outcome and that are synergistic with clinico-genomic prognostic features. These results define a complex interplay between tumour genetics and epigenetics that converges to modify gene-expression programs and clinical presentation.
U2 - 10.1101/2025.02.07.637178
DO - 10.1101/2025.02.07.637178
M3 - Preprint
C2 - 39990314
T3 - bioRxiv
BT - The Landscape of Prostate Tumour Methylation
PB - Cold Spring Harbor Laboratory Press
ER -