TY - JOUR
T1 - Epigenomic alterations in localized and advanced prostate cancer
AU - Lin, Pei Chun
AU - Giannopoulou, Eugenia G.
AU - Park, Kyung
AU - Mosquera, Juan Miguel
AU - Sboner, Andrea
AU - Tewari, Ashutosh K.
AU - Garraway, Levi A.
AU - Beltran, Himisha
AU - Rubin, Mark A.
AU - Elemento, Olivier
N1 - Funding Information:
Abbreviations: ASM, allele-specific methylation; CGI, cytosine guanine dinucleotide (CpG) island; CRPC, castration-resistant prostate cancer; ERRBS, Enhanced Reduced Representation Bisulfite Sequencing; PCa, prostate cancer Address all correspondence to: Olivier Elemento, PhD, Department of Physiology and Biophysics, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, 1305 York Avenue, New York, NY 10065. E-mail: [email protected] or Mark A. Rubin, MD, Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, 1300 York Avenue C-410A, New York, NY 10065. E-mail: [email protected] 1This study was funded by the Early Detection Research Network grant U01 CA 11275-07 (M.A.R.), the Prostate Cancer Foundation Young Investigator Award (H.B.), and the National Science Foundation CAREER grant (O.E.). 2This article refers to supplementary materials, which are designated by Tables W1 to W4 and Figures W1 to W4 and are available online at www.neoplasia.com. 3These authors share the senior authorship. Received 20 December 2012; Revised 28 January 2013; Accepted 29 January 2013 Copyright © 2013 Neoplasia Press, Inc. All rights reserved 1522-8002/13/$25.00 DOI 10.1593/neo.122146
PY - 2013/4
Y1 - 2013/4
N2 - Although prostate cancer (PCa) is the second leading cause of cancer death among men worldwide, not all men diagnosed with PCa will die from the disease. A critical challenge, therefore, is to distinguish indolent PCa from more advanced forms to guide appropriate treatment decisions. We used Enhanced Reduced Representation Bisulfite Sequencing, a genome-wide high-coverage single-base resolution DNA methylation method to profile seven localized PCa samples, seven matched benign prostate tissues, and six aggressive castration-resistant prostate cancer (CRPC) samples. We integrated these data with RNA-seq and whole-genome DNA-seq data to comprehensively characterize the PCa methylome, detect changes associated with disease progression, and identify novel candidate prognostic biomarkers. Our analyses revealed the correlation of cytosine guanine dinucleotide island (CGI)-specific hypermethylation with disease severity and association of certain breakpoints (deletion, tandem duplications, and interchromosomal translocations) with DNA methylation. Furthermore, integrative analysis of methylation and single-nucleotide polymorphisms (SNPs) uncovered widespread allele-specific methylation (ASM) for the first time in PCa. We found that most DNA methylation changes occurred in the context of ASM, suggesting that variations in tumor epigenetic landscape of individuals are partly mediated by genetic differences, whichmay affect PCa disease progression.We further selected a panel of 13 CGIs demonstrating increased DNA methylation with disease progression and validated this panel in an independent cohort of 20 benign prostate tissues, 16 PCa, and 8 aggressive CRPCs. These results warrant clinical evaluation in larger cohorts to help distinguish indolent PCa from advanced disease.
AB - Although prostate cancer (PCa) is the second leading cause of cancer death among men worldwide, not all men diagnosed with PCa will die from the disease. A critical challenge, therefore, is to distinguish indolent PCa from more advanced forms to guide appropriate treatment decisions. We used Enhanced Reduced Representation Bisulfite Sequencing, a genome-wide high-coverage single-base resolution DNA methylation method to profile seven localized PCa samples, seven matched benign prostate tissues, and six aggressive castration-resistant prostate cancer (CRPC) samples. We integrated these data with RNA-seq and whole-genome DNA-seq data to comprehensively characterize the PCa methylome, detect changes associated with disease progression, and identify novel candidate prognostic biomarkers. Our analyses revealed the correlation of cytosine guanine dinucleotide island (CGI)-specific hypermethylation with disease severity and association of certain breakpoints (deletion, tandem duplications, and interchromosomal translocations) with DNA methylation. Furthermore, integrative analysis of methylation and single-nucleotide polymorphisms (SNPs) uncovered widespread allele-specific methylation (ASM) for the first time in PCa. We found that most DNA methylation changes occurred in the context of ASM, suggesting that variations in tumor epigenetic landscape of individuals are partly mediated by genetic differences, whichmay affect PCa disease progression.We further selected a panel of 13 CGIs demonstrating increased DNA methylation with disease progression and validated this panel in an independent cohort of 20 benign prostate tissues, 16 PCa, and 8 aggressive CRPCs. These results warrant clinical evaluation in larger cohorts to help distinguish indolent PCa from advanced disease.
UR - http://www.scopus.com/inward/record.url?scp=84875675666&partnerID=8YFLogxK
U2 - 10.1593/neo.122146
DO - 10.1593/neo.122146
M3 - Article
AN - SCOPUS:84875675666
SN - 1522-8002
VL - 15
SP - 373
EP - 383
JO - Neoplasia (United States)
JF - Neoplasia (United States)
IS - 4
ER -