Evidence map›Paper›PMID 37370694›Full record

ArticleCancers2023

Spontaneous EBV-Reactivation during B Cell Differentiation as a Model for Polymorphic EBV-Driven Lymphoproliferation.

Matthew A Care, Sophie Stephenson, Roger Owen, Gina M Doody, Reuben M Tooze

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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.

Matthew A CareDivision of Haematology and Immunology, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.
Sophie StephensonDivision of Haematology and Immunology, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.
Roger OwenHaematological Malignancy Diagnostic Service, Leeds Teaching Hospitals NHS Trust, Leeds LS9 7TF, UK.
Gina M DoodyDivision of Haematology and Immunology, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0003-0665-6759
Reuben M ToozeDivision of Haematology and Immunology, Leeds Institute of Medical Research, University of Leeds, Leeds LS9 7TF, UK.ORCID 0000-0003-2915-7119
University of Leeds · GBLeeds Teaching Hospitals NHS Trust · GB

Funding

Cancer Research UK 29212Cancer Research UK C355/A26819Cancer Research UK C7845/A17723Cancer Research UK C7845/A29212
6 · The paper itself

Abstract

Epstein-Barr virus (EBV)-driven B cell neoplasms arise from the reactivation of latently infected B cells. In a subset of patients, EBV was seen to drive a polymorphous lymphoproliferative disorder (LPD) in which B cell differentiation was retained. In this work, spontaneous EBV reactivation following B cell mitogen stimulation was shown to provide a potential model of polymorphic EBV-driven LPD. Here, we developed an in vitro model of plasma cell (PC) differentiation from peripheral blood memory B cells. To assess the frequency and phenotypes of EBV-associated populations derived during differentiation, we analysed eight differentiations during the PC stage with a targeted single-cell gene expression panel. We identified subpopulations of EBV-gene expressing cells with PC and/or B cell expression features in differentiations from all tested donors. EBV-associated cells varied in frequency, ranging from 3-28% of cells. Most EBV-associated cells expressed PC genes such as

Indexed as

B-cellEpstein-Barr virusgerminal centrelatencyplasma cellreactivation

Identifiers

PMID37370694
PMCPMC10296496
OpenAlexW4379794686

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.