Evidence map›Paper›PMID 26460692›Full record

ArticlePloS one2015

High Viral Loads of Epstein-Barr Virus DNA in Peripheral Blood of Patients with Chronic Lymphocytic Leukemia Associated with Unfavorable Prognosis.

Ewelina Grywalska, Jacek Roliński, Marcin Pasiarski, Izabela Korona-Glowniak, Maciej Maj, Agata Surdacka, Agnieszka Grafka, Agnieszka Stelmach-Gołdyś, Michał Zgurski, Stanisław Góźdź and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Increased Frequency of the Chemokine Receptor CCR2 on Circulating CD19+CD5+ Lymphocytes in Therapy-Naïve CLL Patients With the Detectable EBV DNA and High-Avidity Antibodies Against the EBV Capsid Antigen.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
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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

13 authors at 3 institutions in 1 country.

Ewelina GrywalskaDepartment of Clinical Immunology and Immunotherapy, Medical University of Lublin, Lublin, Poland; St. John's Cancer Center, Lublin, Poland.
Jacek RolińskiDepartment of Clinical Immunology and Immunotherapy, Medical University of Lublin, Lublin, Poland; St. John's Cancer Center, Lublin, Poland.
Marcin PasiarskiDepartment of Hematology, Holycross Cancer Center, Kielce, Poland.
Izabela Korona-GlowniakDepartment of Pharmaceutical Microbiology, Medical University of Lublin, Lublin, Poland.
Maciej MajDepartment of Clinical Immunology and Immunotherapy, Medical University of Lublin, Lublin, Poland.
Agata SurdackaDepartment of Clinical Immunology and Immunotherapy, Medical University of Lublin, Lublin, Poland; St. John's Cancer Center, Lublin, Poland.
Agnieszka GrafkaDepartment of Clinical Immunology and Immunotherapy, Medical University of Lublin, Lublin, Poland; St. John's Cancer Center, Lublin, Poland.
Agnieszka Stelmach-GołdyśDepartment of Hematology, Holycross Cancer Center, Kielce, Poland.
Michał ZgurskiDepartment of Clinical Immunology and Immunotherapy, Medical University of Lublin, Lublin, Poland.
Stanisław GóźdźDepartment of Oncology, Holycross Cancer Center, Kielce, Poland; Faculty of Health Sciences, Jan Kochanowski University, Kielce, Poland.
Anna MalmDepartment of Pharmaceutical Microbiology, Medical University of Lublin, Lublin, Poland.
Piotr GrabarczykDepartment of Immunohematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland.
Elżbieta StarosławskaSt. John's Cancer Center, Lublin, Poland.
Medical University of Lublin · PLHoly Cross University · PLInstytut Hematologii i Transfuzjologi · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is a ubiquitous γ-herpesvirus that infects more than 90% of the world population. The potential involvement of EBV in the clinical course of chronic lymphocytic leukemia (CLL) remains unexplained. The aim of this study was to determine whether EBV-DNA load in the peripheral blood mononuclear cells (PBMCs) of CLL patients may influence heterogeneity in the course of the disease. The study included peripheral blood samples from 115 previously untreated patients with CLL (54 women and 61 men) and 40 healthy controls (16 women and 24 men). We analyzed the association between the EBV-DNA load in PBMCs and the stage of the disease, adverse prognostic factors, and clinical outcome. Detectable numbers of EBV-DNA copies in PBMCs were found in 62 out of 115 CLL patients (53.91%). The EBV-DNA copy number/μg DNA was significantly higher in patients who required early implementation of treatment, presented with lymphocyte count doubling time <12 months, displayed CD38-positive or ZAP-70-positive phenotype, and with the del(11q22.3) cytogenetic abnormality. Furthermore, the EBV-DNA copy number/μg DNA showed significant positive correlation with the concentrations of lactate dehydrogenase (LDH) and beta-2-microglobulin. We have shown that in CLL patients, higher EBV-DNA copy number predicted shorter survival and shorter time to disease progression, and it was associated with other established unfavorable prognostic factors. This suggests that EBV may negatively affect the outcome of CLL.

Indexed as

Viral LoadAdultAgedAged, 80 and overAntibodies, ViralB-LymphocytesCase-Control StudiesDNA, ViralHerpesvirus 4, HumanHumansLeukemia, Lymphocytic, Chronic, B-CellMiddle AgedMultivariate AnalysisProbabilityPrognosisProportional Hazards ModelsAntibodies, ViralDNA, Viral

Identifiers

PMID26460692
PMCPMC4603951
OpenAlexW1947076618

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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.