Evidence map›Paper›PMID 34801704›Full record

ArticleThe Journal of molecular diagnostics : JMD2022

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-Drus, Andrés E Quesada, Anita S Bowman, Ryan Ptashkin, Jinjuan Yao, Maria E Arcila, Caleb Ho, Christine Moung, Jennifer Regalado, Ryma Benayed and 4 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Kseniya Petrova-DrusDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: petrovak@mskcc.org.
Andrés E QuesadaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Anita S BowmanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Ryan PtashkinDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jinjuan YaoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Maria E ArcilaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Caleb HoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Christine MoungDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jennifer RegaladoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Ryma BenayedDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jamal K BenhamidaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Pallavi K GaleraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Ahmet DoganDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Chad VanderbiltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Translating Stress Response Targeted Therapy for B-Cell LymphomasP50CA192937 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DALLA-FAVERA, RICCARDO, ZELENETZ, ANDREW D. · 2016 to 2020
$10.9M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA192937
6 · The paper itself

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.

Indexed as

Epstein-Barr Virus InfectionsHematologic NeoplasmsDNA, ViralHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingHumansDNA, Viral

Identifiers

PMID34801704
PMCPMC8802759
OpenAlexW3213426312

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.