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Abstract Details

Activity Number: 668
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304736
Title: DNA Methylation in Blood Is Associated with Breast Cancer: A Study in Prospective Samples from the Sister Study
Author(s): Zongli Xu*+ and Sophia C.E. Bolick and Lisa A. DeRoo and Dale P. Sandler and Clarice Weinberg and Jack A. Taylor
Companies: National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences
Address: 111 TW Alexander Drive, Durham, NC, 27709, United States
Keywords: DNA methylation ; breast cancer ; risk prediction ; EWAS ; epigenetic
Abstract:

DNA methylation in blood is a potential epigenetic marker of cancer risk, but has not been evaluated on a genome-wide scale in prospective studies. We measured DNA methylation at 27,578 CpGs in blood samples from 298 women who developed breast cancer 0-5 years after enrollment in the Sister Study cohort and compared them to a random sample of 612 cohort women who remained cancer free. We identified 250 CpGs that were differentially methylated (dmCpGs) between cases and non-cases. Women diagnosed < 1 year of blood draw had small, but consistently greater divergence from non-cases than did women diagnosed >1 year. 75% of these differentially methylated CpGs (dmCpGs) were hypo-methylated in cases relative to non-cases and there were high concordance between case-blood and breast tumor DNA for the direction of methylation change relative to non-cases. Gene set enrichment analysis identified 18 significant pathways including 6 cancer pathways. Receiver operating characteristic analysis had case prediction accuracy of 65% (95%CI:62%-69%) in test sets. Methylation profiling of blood holds promise for breast cancer detection and risk prediction.


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