Evidence map›Paper›PMID 25635226›Full record

ArticleBiomarker research2014

Detection of Epstein-Barr virus (EBV) in human lymphoma tissue by a novel microbial detection array.

Joseph Tellez, Crystal Jaing, Jun Wang, Ralph Green, Mingyi Chen

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Joseph TellezDeptartment of Pathology and Laboratory Medicine, University of California, Davis Medical Center, PATH Bldg. 4400V Street, Sacramento, CA 95817 USA.
Crystal JaingApplied Genomics, Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94551 USA.
Jun WangDepartment of Pathology and Laboratory Medicine, Loma Linda University Medical Center, Loma Linda, CA 92354 USA.
Ralph GreenDeptartment of Pathology and Laboratory Medicine, University of California, Davis Medical Center, PATH Bldg. 4400V Street, Sacramento, CA 95817 USA.
Mingyi ChenDeptartment of Pathology and Laboratory Medicine, University of California, Davis Medical Center, PATH Bldg. 4400V Street, Sacramento, CA 95817 USA.
University of California, Davis · USLawrence Livermore National Laboratory · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

backgroundInfectious agents are estimated to play a causative role in approximately 20% of cancers worldwide. Viruses, notably the Epstein-Barr virus (EBV), are associated with 10-15% of B-cell lymphomas and are found at a higher frequency in immunosuppressed patients. In this study, we screened human lymphoma tissues using a novel Lawrence Livermore Microbial Detection Array (LLMDA), a comprehensive detection system that contains probes for all sequenced viruses and bacteria. This technology has been applied to identify pathogen-associated diseases.

resultsWe evaluated samples from 58 cases with various lymphoid tissue disorders using LLMDA. These included 30 B-cell lymphomas (9 indolent and 21 aggressive type), 2 T-cell lymphomas and 2 NK/T cell lymphomas, 4 plasmacytomas as well as 8 specimens of benign lymphoid tissue. Five of 21 high-grade B-cell lymphomas were positive for Epstein-Barr virus-encoded small RNA (EBER+), while all the indolent B-cell lymphomas were EBER-. Similarly, both NK/T cell lymphomas were EBER+, and the benign tissues were EBER-. We also screened 10 cases of post-transplant lymphoproliferative disorder (PTLD). Five of these cases (4 B-cell lymphomas and 1 NK/T cell lymphoma) were EBER+, and the remaining five cases were EBER-.

conclusionsWe have confirmed the reliability of the LLMDA methods by detecting EBV in EBV-positive lymphomas while observing no false-positive results in EBV-negative lymphomas. The LLMDA technique provides a sensitive and alternative method for identifying known viral pathogen associated with tumors and may prove useful for future clinical identification of novel cancer-associated viral pathogens.

Indexed as

Epstein-Barr virus (EBV)Lawrence Livermore Microbial Detection Array (LLMDA)LymphomaPost-transplant lymphoproliferative disorder (PTLD)

Identifiers

PMID25635226
PMCPMC4310026
OpenAlexW2125941352

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.