Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome in seven human benign prostate tissues, seven human primary prostate cancer and six human castration resistant prostate cancer patient samples. These data were used to profile the CpG cytosine methylation pattern at single base resolution in each sample and to determine differentially methylated cytosines and regions among samples. Enhanced Reduced Representation Bisulfite Sequencing (ERRBS, MspI,150M-bM-^@M-^S400 bp size fractions) of 20 human prostate tissues (benign prostate tissues, localized and metastatic prostate cancer)
Project description:We performed whole-exome sequencing on localized prostate cancer patients to validate tumor content as part of a single-cell RNA sequencing study of localized prostate cancer patients.
Project description:To identify new oncogenic drivers in prostate cancer, we performed transcriptome analysis of localized primary prostate cancer samples and the matched normal tissues.
Project description:Localized prostate cancer exhibits profound genomic, pathologic, and clinical heterogeneity, and current clinical prognostic factors do not accurately distinguish aggressive from indolent disease for an individual man. We and others have demonstrated that aberrant DNA methylation may be an important driver of aggressive disease. Herein, we analyze the tumor methylomes of 619 localized prostate cancers and assess the interactions between methylation and somatic tumor genomic profiles. We identify three distinct methylation subtypes, including a hypermethylation subtype which is associated with early biochemical recurrence. DNA methylation and gene copy number status synergistically regulate mRNA abundance, and aberrant methylation is strongly associated with common prostate cancer driver aberrations, including mutation density, and with altered RNA abundance profiles. Finally, we identify a set of multivariate methylation biomarkers that are prognostic of rapid biochemical recurrence. Taken together, our data provide the first comprehensive assessment of the interplay between somatic molecular phenotypes and aberrant DNA methylation in localized, non-indolent prostate cancer, and suggest that integrated genome-epigenome analyses may accurately identify men at risk for adverse clinical outcomes in this patient cohort.