Evidence map›Paper›PMID 27048211›Full record

ArticleBlood2016

B-cell-specific conditional expression of Myd88p.L252P leads to the development of diffuse large B-cell lymphoma in mice.

Gero Knittel, Paul Liedgens, Darya Korovkina, Jens M Seeger, Yussor Al-Baldawi, Mona Al-Maarri, Christian Fritz, Katerina Vlantis, Svetlana Bezhanova, Andreas H Scheel and 24 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

75 citing papers in PubMed, 109 citations in OpenAlex.

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  12. Genetic Mouse Models of Lymphomas.Methods in molecular biology (Clifton, N.J.) · 2025
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  18. Article
  19. Review
  20. Mouse models of diffuse large B cell lymphoma.Frontiers in immunology · 2023
    Review

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors at 13 institutions in 3 countries.

Gero KnittelDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany;
Paul LiedgensDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany;
Darya KorovkinaDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany;
Jens M SeegerCologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany; Institute for Microbiology and Hygiene, and.
Yussor Al-BaldawiDepartment of Radiology, Medical Faculty, University Hospital of Cologne, Cologne, Germany;
Mona Al-MaarriMax Planck Institute for Metabolism Research, Cologne, Germany;
Christian FritzDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany;
Katerina VlantisCologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany;
Svetlana BezhanovaInstitute of Pathology, University Hospital of Cologne, Cologne, Germany; N.N. Blokhin Russian Cancer Research Center, Moscow, Russia;
Andreas H ScheelInstitute of Pathology, University Hospital of Cologne, Cologne, Germany;
Olaf-Oliver WolzInterfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany;
Maurice ReimannDepartment of Hematology/Oncology, Charité-University Medical Center, Berlin, Germany;
Peter MöllerInstitute of Pathology, Medical Faculty of Ulm University, Ulm, Germany;
Cristina LópezInstitute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Kiel, Germany;
Matthias SchlesnerDepartment of Theoretical Bioinformatics, German Cancer Research Center, Heidelberg, Germany;
Philipp LohneisDepartment of Pathology, Charité-University Medical Center, Berlin, Germany;
Alexander N R WeberInterfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany;
Lorenz TrümperDepartment of Hematology and Oncology, Georg-August University, Goettingen, Germany;
German International Cancer Genome Consortium Molecular Mechanisms in Malignant Lymphoma by Sequencing Project Consortium
Louis M StaudtMetabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD;
Monika OrtmannInstitute of Pathology, University Hospital of Cologne, Cologne, Germany;
Manolis PasparakisCologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany;
Reiner SiebertInstitute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Kiel, Germany;
Clemens A SchmittDepartment of Hematology/Oncology, Charité-University Medical Center, Berlin, Germany; Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany;
Andreas R KlattInstitute for Clinical Chemistry.
F Thomas WunderlichMax Planck Institute for Metabolism Research, Cologne, Germany;
Stephan C SchäferInstitute of Pathology, University Hospital of Cologne, Cologne, Germany;
Thorsten PersigehlDepartment of Radiology, Medical Faculty, University Hospital of Cologne, Cologne, Germany;
Manuel Montesinos-RongenInstitute of Neuropathology, and.
Margarete OdenthalInstitute of Pathology, University Hospital of Cologne, Cologne, Germany; Center of Integrated Oncology, University Hospital of Cologne, Cologne, Germany; and.
Reinhard BüttnerInstitute of Pathology, University Hospital of Cologne, Cologne, Germany; Center of Integrated Oncology, University Hospital of Cologne, Cologne, Germany; and Center of Molecular Medicine, University of Cologne, Cologne, Germany.
Lukas P FrenzelDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany; Center of Integrated Oncology, University Hospital of Cologne, Cologne, Germany; and.
Hamid KashkarCologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany; Institute for Microbiology and Hygiene, and Center of Molecular Medicine, University of Cologne, Cologne, Germany.
H Christian ReinhardtDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of Cologne, Cologne, Germany; Center of Integrated Oncology, University Hospital of Cologne, Cologne, Germany; and Center of Molecular Medicine, University of Cologne, Cologne, Germany.
University Hospital Cologne · DECharité - Universitätsmedizin Berlin · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DEUniversity of Cologne · DEKiel University · DEMax Planck Institute for Metabolism Research · DEUniversity of Tübingen · DEGerman Cancer Research Center · DEInstitute of Medical Microbiology and Hygiene · DENational Cancer Institute · USRussian Cancer Research Center NN Blokhin · RUUniversität Ulm · DEUniversity of Göttingen · DE

Funding

Oncogenic mechanisms and molecular targets in lymphomaZIABC011008 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STAUDT, LOUIS · 2009 to 2025
$21.0M
6 · The paper itself

Abstract

The adaptor protein MYD88 is critical for relaying activation of Toll-like receptor signaling to NF-κB activation. MYD88 mutations, particularly the p.L265P mutation, have been described in numerous distinct B-cell malignancies, including diffuse large B-cell lymphoma (DLBCL). Twenty-nine percent of activated B-cell-type DLBCL (ABC-DLBCL), which is characterized by constitutive activation of the NF-κB pathway, carry the p.L265P mutation. In addition, ABC-DLBCL frequently displays focal copy number gains affecting BCL2 Here, we generated a novel mouse model in which Cre-mediated recombination, specifically in B cells, leads to the conditional expression of Myd88(p.L252P) (the orthologous position of the human MYD88(p.L265P) mutation) from the endogenous locus. These mice develop a lymphoproliferative disease and occasional transformation into clonal lymphomas. The clonal disease displays the morphologic and immunophenotypical characteristics of ABC-DLBCL. Lymphomagenesis can be accelerated by crossing in a further novel allele, which mediates conditional overexpression of BCL2 Cross-validation experiments in human DLBCL samples revealed that both MYD88 and CD79B mutations are substantially enriched in ABC-DLBCL compared with germinal center B-cell DLBCL. Furthermore, analyses of human DLBCL genome sequencing data confirmed that BCL2 amplifications frequently co-occurred with MYD88 mutations, further validating our approach. Finally, in silico experiments revealed that MYD88-mutant ABC-DLBCL cells in particular display an actionable addiction to BCL2. Altogether, we generated a novel autochthonous mouse model of ABC-DLBCL that could be used as a preclinical platform for the development and validation of novel therapeutic approaches for the treatment of ABC-DLBCL.

Indexed as

Mutation, MissenseAnimalsB-LymphocytesCell Transformation, NeoplasticHumansLymphoma, Large B-Cell, DiffuseMiceMice, TransgenicMyeloid Differentiation Factor 88Neoplasms, ExperimentalProto-Oncogene Proteins c-bcl-2Bcl2 protein, mouseMyd88 protein, mouseMyeloid Differentiation Factor 88Proto-Oncogene Proteins c-bcl-2

Identifiers

PMID27048211
PMCPMC4891954
OpenAlexW2326263722

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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.