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Redefining the Spectrum of EBV-Positive Diffuse Large B-Cell Lymphoma and EBV-Positive Classic Hodgkin Lymphoma

GSE305165 Homo sapiens (human) Expression microarray 47 samples Submitted 2025/12/11 Platform GPL23159
At a glance

Expression microarray · human · 47 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Topic
Hodgkin lymphomaThis series is part of our curated briefing on it.
Samples
47 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Epstein–Barr virus-positive (EBV+) diffuse large B-cell lymphoma (DLBCL) and EBV+ classic Hodgkin lymphoma (CHL) are major B-cell lymphomas with EBV infection in elderly patients. Although they are regarded as distinct clinicopathologic entities, distinguishing EBV+ CHL from EBV+ DLBCL is often challenging because of their overlapping histological and immunophenotypic features.
Read the full summary ↓
We characterized the spectrum of EBV+ large B-cell lymphoma in 57 patients aged ≥50 years, including 35 EBV+ DLBCL (12 polymorphic DLBCL [pDLBCL] and 23 monomorphic DLBCL [mDLBCL]) and 22 EBV+ CHL. Gene expression profiling revealed interferon-γ (IFNγ)-enrichment with overexpression of indoleamine 2,3-dioxygenase 1 (IDO1), an immunosuppressive enzyme, in more than half of pDLBCL (5/8), but less in mDLBCL (3/19) and CHL (1/19). Fluorescence in situ hybridization showed a higher frequency of 9p24.1-altered cells in CHL (54%; interquartile range [IQR], 42%–89%), but lower in pDLBCL (18%; IQR, 12%–23%) and mDLBCL (5%; IQR, 0%–30%). Notably, immunohistochemical expression of PDL1 was higher in pDLBCL than in mDLBCL, suggesting IFNγ-mediated upregulation. DLBCL with EBV latency type III (n = 13) exhibited lower tumor PDL1 expression and reduced IDO1-enriched microenvironment. Multivariate analysis of the total cohort revealed that both EBV latency type III and Eastern Cooperative Oncology Group performance status ≥2 were independently associated with shorter overall survival. EBV+ large B-cell lymphoma spectrum was reclassified into four molecular groups: (1) EBV latency type III suggestive of immune senescence (n = 10, 22%), (2) high proportion of 9p24.1-alteration (n = 9, 20%); (3) high IFNγ signature score (n = 9, 20%), and (4) low IFNγ signature score (n = 18, 39%). Moreover, these groups were identified using surrogate immunohistochemical markers: EBNA2, PDL1, and IDO1. In conclusion, the molecular studies assessing tumor–host interaction enhances understanding of the EBV+ large B-cell lymphoma spectrum and benefits pathological diagnosis and clinical management.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE305165_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA1304530. Searching any of these in the dataset finder brings you back here.

Samples in this study

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