Literature DB >> 34801704

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.

Kseniya Petrova-Drus1, Andrés E Quesada2, Anita S Bowman2, Ryan Ptashkin2, Jinjuan Yao2, Maria E Arcila2, Caleb Ho2, Christine Moung2, Jennifer Regalado2, Ryma Benayed2, Jamal K Benhamida2, Pallavi K Galera2, Ahmet Dogan2, Chad Vanderbilt2.   

Abstract

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

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Year:  2021        PMID: 34801704      PMCID: PMC8802759          DOI: 10.1016/j.jmoldx.2021.10.009

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  30 in total

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Journal:  Am J Clin Pathol       Date:  2002-02       Impact factor: 2.493

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Journal:  Baillieres Best Pract Res Clin Haematol       Date:  2000-06

Review 5.  Epstein-Barr virus and cancer.

Authors:  Matthew P Thompson; Razelle Kurzrock
Journal:  Clin Cancer Res       Date:  2004-02-01       Impact factor: 12.531

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Authors:  Natalia Neparidze; Jill Lacy
Journal:  Clin Adv Hematol Oncol       Date:  2014-06

7.  Angioimmunoblastic T-cell lymphoma: histological progression associates with EBV and HHV6B viral load.

Authors:  Yuanping Zhou; Ayoma D Attygalle; Shih-Sung Chuang; Tim Diss; Hongtao Ye; Hongxiang Liu; Rifat A Hamoudi; Philippa Munson; Chris M Bacon; Ahmet Dogan; Ming-Qing Du
Journal:  Br J Haematol       Date:  2007-07       Impact factor: 6.998

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Authors:  Rou-Jun Peng; Bo-Wei Han; Qing-Qing Cai; Xiao-Yu Zuo; Tao Xia; Jie-Rong Chen; Li-Na Feng; Jing Quan Lim; Shu-Wei Chen; Mu-Sheng Zeng; Yun-Miao Guo; Bo Li; Xiao-Jun Xia; Yi Xia; Yurike Laurensia; Burton Kuan Hui Chia; Hui-Qiang Huang; Ken He Young; Soon Thye Lim; Choon Kiat Ong; Yi-Xin Zeng; Jin-Xin Bei
Journal:  Leukemia       Date:  2018-12-13       Impact factor: 11.528

9.  Identification and Characterization of Epstein-Barr Virus Genomes in Lung Carcinoma Biopsy Samples by Next-Generation Sequencing Technology.

Authors:  Shanshan Wang; Hongchao Xiong; Shi Yan; Nan Wu; Zheming Lu
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

Review 10.  Epigenetic lifestyle of Epstein-Barr virus.

Authors:  Alexander Buschle; Wolfgang Hammerschmidt
Journal:  Semin Immunopathol       Date:  2020-03-30       Impact factor: 9.623

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