Quantitative Off-Target Detection of Epstein-Barr Virus-Derived DNA in Routine Molecular Profiling of Hematopoietic Neoplasms by Panel-Based Hybrid-Capture Next-Generation Sequencing.


Journal

The Journal of molecular diagnostics : JMD
ISSN: 1943-7811
Titre abrégé: J Mol Diagn
Pays: United States
ID NLM: 100893612

Informations de publication

Date de publication:
01 2022
Historique:
received: 09 07 2021
revised: 31 08 2021
accepted: 04 10 2021
pubmed: 22 11 2021
medline: 5 4 2022
entrez: 21 11 2021
Statut: ppublish

Résumé

Epstein-Barr virus (EBV) is associated with hematologic and solid tumors. We utilized a hybridization capture-based next-generation sequencing (NGS) platform targeting 400 genes associated with hematological malignancies to detect and quantify nontargeted viral-derived EBV reads that aligned to the EBV reference contig (NC_007605). We evaluated 5234 samples from 3636 unique patients with hematological neoplasms and found that 100 samples (1.9%) in 93 unique patients had ≥6 EBV reads (range, 6 to 32,325; mean, 827.5; median, 54). Most (n = 73, 73%) represented known EBV-associated conditions, and the most common was post-transplant lymphoproliferative disorders (n = 21, 29%). Documented EBV viremia was found in 4 of 27 samples with a moderate quantity of EBV reads and conditions not known to be EBV associated, whereas suspected viremia or low-level activation was likely in the remaining 23 samples. A good correlation (Spearman r = 0.8; 95% CI, 0.74-0.85) was found between EBV reads by NGS and systematic semiquantitative EBV-encoded RNA in situ hybridization in 162 available samples, particularly at greater EBV involvement. An optimal threshold for significant morphologic EBV involvement was found to be ≥10 reads by the receiver operating characteristic analysis (area under the curve, 0.990; 95% CI, 0.9974%-1.000%). Thus, in addition to mutational analysis, hybrid-capture-based NGS panels can detect and quantitate off-target EBV-derived viral DNA, which correlates well with morphology.

Identifiants

pubmed: 34801704
pii: S1525-1578(21)00385-8
doi: 10.1016/j.jmoldx.2021.10.009
pmc: PMC8802759
pii:
doi:

Substances chimiques

DNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

69-78

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA192937
Pays : United States

Informations de copyright

Copyright © 2022 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Auteurs

Kseniya Petrova-Drus (K)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: petrovak@mskcc.org.

Andrés E Quesada (AE)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Anita S Bowman (AS)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Ryan Ptashkin (R)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Jinjuan Yao (J)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Maria E Arcila (ME)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Caleb Ho (C)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Christine Moung (C)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Jennifer Regalado (J)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Ryma Benayed (R)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Jamal K Benhamida (JK)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Pallavi K Galera (PK)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Ahmet Dogan (A)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Chad Vanderbilt (C)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

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Classifications MeSH