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Methylation analysis of plasma DNA informs etiologies of Epstein-Barr virus-associated diseases

Authors :
W K Jacky Lam
Macy M. S. Heung
Anthony T.C. Chan
K.C. Allen Chan
Wenlei Peng
Rossa W.K. Chiu
John K. S. Woo
Brigette B.Y. Ma
Y.M. Dennis Lo
Edwin P. Hui
Peiyong Jiang
Suk Hang Cheng
Radha Raghupathy
O Y Olivia Tse
Huimin Shang
Haiqiang Zhang
Source :
Nature Communications, Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Publication Year :
2019
Publisher :
Nature Publishing Group UK, 2019.

Abstract

Epstein-Barr virus (EBV) is associated with a number of diseases, including malignancies. Currently, it is not known whether patients with different EBV-associated diseases have different methylation profiles of circulating EBV DNA. Through whole-genome methylation analysis of plasma samples from patients with nasopharyngeal carcinoma (NPC), EBV-associated lymphoma and infectious mononucleosis, we demonstrate that EBV DNA methylation profiles exhibit a disease-associated pattern. This observation implies a significant potential for the development of methylation analysis of plasma EBV DNA for NPC diagnostics. We further analyse the plasma EBV DNA methylome of NPC and non-NPC subjects from a prospective screening cohort. Plasma EBV DNA fragments demonstrate differential methylation patterns between NPC and non-NPC subjects. Combining such differential methylation patterns with the fractional concentration (count) and size of plasma EBV DNA, population screening of NPC is performed with an improved positive predictive value of 35.1%, compared to a count- and size-based only protocol.<br />Epstein-Barr virus (EBV) is associated with different malignant diseases and circulating EBV DNA is a biomarker for nasopharyngeal carcinoma (NPC). Here, the authors report that plasma EBV DNA methylation profiles show disease-associated patterns and can help to distinguish NPC and non-NPC subjects.

Details

Language :
English
ISSN :
20411723
Volume :
10
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....337c66454919d8b8cc9d3e7b602439f6