Evidence map›Paper›PMID 41446165›Full record

ArticlebioRxiv : the preprint server for biology2025

Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models.

Alexandria Bartlett, Camille Krejdovsky, Guang Yang, Ashley P Barry, Cliff Oduor, Jeffrey A Bailey, Ann M Moormann, Yoshitaka Sato, Micah A Luftig

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Alexandria BartlettDepartment of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, NC.
Camille KrejdovskyDepartment of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, NC.
Guang YangDepartment of Pharmacology & Cancer Biology, Duke University School of Medicine, Durham, NC, USA.
Ashley P BarryDepartment of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, NC.
Cliff OduorCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Jeffrey A BaileyCenter for Computational Molecular Biology and Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA.
Ann M MoormannDivision of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School. Worcester, MA, USA.
Yoshitaka SatoDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-8541-6413
Micah A LuftigDepartment of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, NC.ORCID 0000-0002-2964-1907

Funding

Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
Impact of malaria on shaping immunity to EBV in the etiology of Burkitt lymphomaR01CA189806 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MOORMANN, ANN M · 2014 to 2024
$5.7M
Dissecting the role of EBV and P. falciparum in endemic Burkitt lymphoma pathogenesisR01CA234348 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 2019 to 2023
$3.3M
NCI NIH HHS R01 CA189806NCI NIH HHS R01 CA234348NCI NIH HHS T32 CA009111
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is maintained clonally in a wide array of tumors and cells of lymphoproliferative disorders, yet the degree to which these infected cells continuously depend on EBV remains unresolved. To directly assess EBV dependence, we used two complementary Cas9-based viral eviction strategies: 1) targeting EBNA1 to promote episome dilution during cell division, and 2) targeting repetitive viral genomic regions to rapidly degrade EBV episomes. Using these approaches, we evaluated EBV-loss sensitivity across newly-derived, phenotypically diverse EBV-positive Burkitt lymphoma lines. We also evaluated cell lines from patients with EBV-associated T/NK and epithelial malignancies. We included the Burkitt Lymphoma cell line, Akata-GFP, as our EBV-loss-tolerant control and a lymphoblastoid cell line as our EBV-loss-sensitive control. We observed EBV-loss sensitivity in all the EBV-positive Burkitt Lymphoma cell lines and the chronic active EBV disease cell line. In contrast, the EBV-positive gastric adenocarcinoma lines were markedly less sensitive to EBV loss. EBV latency type did not predict EBV dependence, indicating that viral gene expression programs alone do not dictate reliance on the virus. These findings demonstrate that EBV dependence is prevalent across multiple EBV-associated disease models and is especially pronounced in early-state or newly derived lymphoid malignancies.

Identifiers

PMID41446165
PMCPMC12724159

What Socratic 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 Socratic graph.