Back

Integrating Epstein-Barr virus (EBV) status into diffuse large B cell lymphoma (DLBCL) genetics

Rosemarie, Q.; Hayes, M.; Johannsen, E. C.

2026-04-04 cancer biology
10.64898/2026.04.03.710620 bioRxiv
Show abstract

Diffuse large B-cell lymphoma (DLBCL), the most common aggressive lymphoma, encompasses histologically similar but genetically distinct cancers. Recent genetic studies have defined at least six molecular subtypes, yet none account for Epstein-Barr virus (EBV), despite 5-15% of DLBCLs being EBV-associated. By reanalyzing published whole-exome and RNA-sequencing data from 481 tumors, we identified 19 EBV-positive cases. These were significantly enriched in the BN2 subtype (6/19), while most (11/19) remained unclassified. In BN2 tumors, several subtype-defining mutations were reduced in frequency among EBV-positive cases, supporting the hypothesis that EBV oncogenes substitute for specific cellular alterations and may confound DLBCL classification algorithms. Extending our analysis to cell lines, we found that the widely used Val cell line harbors the B95-8 laboratory EBV strain; other EBV-positive lines appeared authentic but modeled only non-BN2 subtypes and expressed an atypical viral latency III program, whereas some DLBCL tumors expressed the atypical latency III program and others latency I or II. Together, these findings demonstrate that EBV-positive DLBCL, like DLBCL itself, is not a single disease, and that current in vitro models only partially capture its biological heterogeneity. Key pointsO_LIEBV-positive DLBCL is not a single disease and EBV status can impact genetic-based classifications. C_LIO_LICurrent EBV-positive DLBCL cell lines do not adequately capture tumor complexity; we determined that Val is a problematic cell line. C_LI

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Blood Advances
54 papers in training set
Top 0.1%
12.4%
2
Blood
67 papers in training set
Top 0.3%
6.4%
3
Clinical Cancer Research
58 papers in training set
Top 0.3%
4.9%
4
Cancers
200 papers in training set
Top 1%
4.9%
5
Leukemia
39 papers in training set
Top 0.2%
4.9%
6
Modern Pathology
21 papers in training set
Top 0.1%
3.6%
7
Cancer Research Communications
46 papers in training set
Top 0.2%
2.8%
8
British Journal of Haematology
15 papers in training set
Top 0.2%
2.6%
9
eLife
5422 papers in training set
Top 32%
2.6%
10
PLOS ONE
4510 papers in training set
Top 48%
2.1%
11
PLOS Pathogens
721 papers in training set
Top 5%
2.1%
12
Nature Communications
4913 papers in training set
Top 48%
1.9%
50% of probability mass above
13
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.5%
1.8%
14
Frontiers in Oncology
95 papers in training set
Top 2%
1.7%
15
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
16
OncoImmunology
22 papers in training set
Top 0.2%
1.7%
17
Cell Reports Medicine
140 papers in training set
Top 4%
1.5%
18
Neuro-Oncology
30 papers in training set
Top 0.5%
1.3%
19
JCI Insight
241 papers in training set
Top 5%
1.2%
20
mBio
750 papers in training set
Top 9%
1.2%
21
Cancer Research
116 papers in training set
Top 3%
1.2%
22
Blood Cancer Journal
11 papers in training set
Top 0.2%
1.1%
23
Scientific Reports
3102 papers in training set
Top 69%
1.0%
24
Genome Medicine
154 papers in training set
Top 6%
1.0%
25
Cancer Discovery
61 papers in training set
Top 2%
0.9%
26
Cell Reports
1338 papers in training set
Top 30%
0.9%
27
Journal of Experimental Medicine
106 papers in training set
Top 3%
0.9%
28
Journal of Virology
456 papers in training set
Top 3%
0.8%
29
EBioMedicine
39 papers in training set
Top 0.9%
0.8%
30
Laboratory Investigation
13 papers in training set
Top 0.2%
0.8%