Evidence map›Paper›PMID 40192513›Full record

ArticleGenes, chromosomes & cancer2025

Subtyping Burkitt Lymphoma by DNA Methylation.

Selina Glaser, Rabea Wagener, Helene Kretzmer, Cristina López, Maria Joao Baptista, Susanne Bens, Stephan Bernhart, Kishor Bhatia, Arndt Borkhardt, Shaymaa Elgaafary and 31 more

Abstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. miRNA profiling in pediatric and young adult Burkitt leukemia and lymphoma.Virchows Archiv : an international journal of pathology · 2026
    Article
  6. Article
  7. Article
  8. 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

41 authors.

Selina GlaserInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.ORCID 0009-0008-2923-1829
Rabea WagenerInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Helene KretzmerDepartment of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Cristina LópezInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Maria Joao BaptistaJosep Carreras Leukaemia Research Institute, Badalona, Spain.
Susanne BensInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Stephan BernhartInterdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany.
Kishor BhatiaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Arndt BorkhardtDepartment of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University Duesseldorf, Duesseldorf, Germany.
Shaymaa ElgaafaryInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Steve HoffmannFaculty of Biosciences, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Friedrich Schiller University Jena, Jena, Germany.
Daniel HübschmannPattern Recognition and Digital Medicine Group (PRDM), Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM), Heidelberg, Germany.ORCID 0000-0002-6041-7049
Michael HummelCharité Center for Biomedicine (CC4), Charité-University Medicine Berlin, Berlin, Germany.
Wolfram KlapperHematopathology Section, Institute of Pathology, Christian-Albrechts-University, Kiel, Germany.
Julia KolarovaInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Markus KreuzInstitute for Medical Informatics Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Stefano LazziDepartment of Medical Biotechnology, University of Siena, Siena, Italy.
Markus LöfflerInstitute for Medical Informatics Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Jose Tomas NavarroJosep Carreras Leukaemia Research Institute, Badalona, Spain.
Janet NeequayeDepartment of Child Health, University of Ghana Medical School, Accra, Ghana.
Noel OnyangoDepartment of Medical Microbiology and Immunology, University of Nairobi, Nairobi, Kenya.
Timothy OnyumaKenyatta National Hospital, Nairobi, Kenya.
German OttDepartment of Clinical Pathology, Robert-Bosch Krankenhaus, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Bernhard RadlwimmerDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Marius RohdeDepartment of Pediatric Hematology and Oncology, Justus-Liebig-University Giessen, Giessen, Germany.
Andreas RosenwaldInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Maciej RosolowskiInstitute for Medical Informatics Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Matthias SchlesnerBiomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical Faculty, University of Augsburg, Augsburg, Germany.
Monika SzczepanowskiClinic of Internal Medicine II, Hematology Laboratory Section, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Gustavo TapiaDepartment of Pathology, Germans Trias i Pujol University Hospital, Universitat Autònoma de Barcelona, Badalona, Spain.
Wilhelm WößmannNHL-BFM Study Centre and Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ralf KüppersInstitute of Cell Biology (Cancer Research), University of Duisburg-Essen, Medical School, Essen, Germany.
Lorenz TrümperDepartment of Hematology and Oncology, Georg-August-University of Göttingen, Göttingen, Germany.
Lorenzo LeonciniDepartment of Medical Biotechnology, University of Siena, Siena, Italy.
Peter LichterDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Coral Del ValDepartment of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.ORCID 0000-0002-2212-2039
Ole AmmerpohlInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Birgit BurkhardtPediatric Hematology and Oncology, University Hospital Muenster, Muenster, Germany.
Sam M MbulaiteyeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-8273-9831
Reiner SiebertInstitute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
ICGC MMML‐Seq Consortium; MMML Project

Funding

German Ministry of Science and Education 01KU1002A-JGerman Ministry of Science and Education 01KU1505EGerman Ministry of Science and Education 036166BGerman Research Foundation (DFG) SFB1074B9Intramural Research Program N01-CO-12400Spanish Ministry of Science, Innovation and University MICIU/AEI/10.13039/501100011033Spanish Ministry of Science, Innovation and University PID20210125017OB-I00
6 · The paper itself

Abstract

Burkitt lymphoma (BL) is an aggressive germinal center B-cell-derived malignancy. Historically, sporadic, endemic, and immunodeficiency-associated variants were distinguished, which differ in the frequency of Epstein-Barr virus (EBV) positivity. Aiming to identify subgroups based on DNA methylation patterns, we here profiled 96 BL cases, 17 BL cell lines, and six EBV-transformed lymphoblastoid cell lines using Illumina BeadChip arrays. DNA methylation analyses clustered the cases into four subgroups: two containing mostly EBV-positive cases (BL-mC1, BL-mC2) and two containing mostly EBV-negative cases (BL-mC3, BL-mC4). The subgroups BL-mC1/2, enriched for EBV-positive cases, showed increased DNA methylation, epigenetic age, and, in part, proliferation history compared to BL-mC3/4. CpGs hypermethylated in EBV-positive BLs were enriched for polycomb repressive complex 2 marks, while the CpGs hypomethylated in EBV-negative BLs were linked to, for example, B-cell receptor signaling. EBV-associated hypermethylation affected regulatory regions of genes frequently mutated in BL (e.g., CCND3, TP53) and impacted superenhancers. This finding suggests that hypermethylation may compensate for the lower mutational burden of pathogenic drivers in EBV-positive BLs. Though minor, significant differences were also observed between EBV-positive endemic and sporadic cases (e.g., at the SOX11 and RUNX1 loci). Our findings suggest that EBV status, rather than epidemiological variants, drives the DNA methylation-based subgrouping of BL.

Indexed as

Burkitt LymphomaDNA MethylationAdolescentAdultCell Line, TumorChildChild, PreschoolCpG IslandsEpigenesis, GeneticEpstein-Barr Virus InfectionsFemaleHerpesvirus 4, HumanHumansMaleMiddle AgedAfricaBurkitt lymphomaDNA methylationEpstein–Barr virusimmunodeficiency

Identifiers

PMID40192513
PMCPMC11974478

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LicenceCC BY
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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.