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EBV DNA methylation profiles and its application in distinguishing nasopharyngeal carcinoma and nasal NK/T-cell lymphoma.

Authors :
Tang CL
Li XZ
Zhou T
Deng CM
Jiang CT
Zhang YM
Liao Y
Wang TM
He YQ
Xue WQ
Jia WH
Zheng XH
Source :
Clinical epigenetics [Clin Epigenetics] 2024 Jan 11; Vol. 16 (1), pp. 11. Date of Electronic Publication: 2024 Jan 11.
Publication Year :
2024

Abstract

Background: As an oncovirus, EBV is associated with multiple cancers, including solid tumors and hematological malignancies. EBV methylation plays an important role in regulating tumor occurrence. However, the EBV methylation profiles in EBV-associated tumor tissues are poorly understood.<br />Results: In this study, EBV methylation capture sequencing was conducted in several different tumor tissue samples, including NPC, EBVaGC, lung LELC and parotid LELC. Besides, EBV capture sequencing and following qMSP were performed on nasopharyngeal brushing samples from NPC and nasal NKTCL patients. Our results showed that the EBV genome among different types of tumors displayed specific methylation patterns. Among the four types of tumors from epithelial origin (NPC, EBVaGC, lung LELC and parotid LELC), the most significant differences were found between EBVaGC and the others. For example, in EBVaGC, all CpG sites within 1,44,189-1,45,136 bp of the EBV genome sequence on gene RPMS1 were hyper-methylated compared to the others. Differently, significant differences of EBV CpG sites, particularly those located on gene BILF2, were observed between NPC and nasal NKTCL patients in nasopharyngeal brushing samples. Further, the methylated level of BILF2 was further detected using qMSP, and a diagnostic model distinguishing NPC and nasal NKTCL was established. The AUC of the model was 0.9801 (95% CI 0.9524-1.0000), with the sensitivity and specificity of 98.81% (95% CI 93.63-99.94%) and 76.92% (95% CI 49.74-91.82%), respectively.<br />Conclusions: Our study reveals more clues for further understanding the pathogenesis of EBV, and provides a possibility for distinguishing EBV-related tumor by detecting specific EBV CpG sites.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1868-7083
Volume :
16
Issue :
1
Database :
MEDLINE
Journal :
Clinical epigenetics
Publication Type :
Academic Journal
Accession number :
38212818
Full Text :
https://doi.org/10.1186/s13148-024-01624-y