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Lymphoma

Differences between BCL2-break positive and negative follicular lymphoma unraveled by whole-exome sequencing

Leukemia volume 32, pages 685–693 (2018)Cite this article

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Abstract

Depending on disease stage follicular lymphoma (FL) lack the t(14;18) in ~15–~50% of cases. Nevertheless, most of these cases express BCL2. To elucidate mechanisms triggering BCL2 expression and promoting pathogenesis in t(14;18)-negative FL, exonic single-nucleotide variant (SNV) profiles of 28 t(14;18)-positive and 13 t(14;18)-negative FL were analyzed, followed by the integration of copy-number changes, copy-neutral LOH and published gene-expression data as well as the assessment of immunoglobulin N-glycosylation sites. Typical FL mutations also affected t(14;18)-negative FL. Curated gene set/pathway annotation of genes mutated in either t(14;18)-positive or t(14;18)-negative FL revealed a strong enrichment of same or similar gene sets but also a more prominent or exclusive enrichment of immune response and N-glycosylation signatures in t(14;18)-negative FL. Mutated genes showed high BCL2 association in both subgroups. Among the genes mutated in t(14;18)-negative FL 555 were affected by copy-number alterations and/or copy-neutral LOH and 96 were differently expressed between t(14;18)-positive and t(14;18)-negative FL (P<0.01). N-glycosylation sites were detected considerably less frequently in t(14;18)-negative FL. These results suggest a diverse portfolio of genetic alterations that may induce or regulate BCL2 expression or promote pathogenesis of t(14;18)-negative FL as well as a less specific but increased crosstalk with the microenvironment that may compensate for the lack of N-glycosylation.

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  • 24 May 2018

    At the time of publication the Supplementary Tables 2-7 and 8-14 were omitted from the article – this has now been corrected in the HTML, the PDF was correct at the time of publication.

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Acknowledgements

AZ was supported by the Alexander von Humboldt Stiftung and GO and HH by the Robert-Bosch-Stiftung. This work was supported in part by the German Ministry for Education and Science (BMBF (ICGC MMML-Seq (01KU1002A-J) and ICGC DE-mining (01KU1505G) consortia)).

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Author notes

  1. A Zamò and J Pischimarov: These two authors contributed equally to this work.

Authors and Affiliations

  1. Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany

    A Zamò, J Pischimarov, T Grieb, T Nedeva, L Flossbach, A Rosenwald & E Leich

  2. Department of Diagnostic and Public Health, University of Verona, Verona, Italy

    A Zamò

  3. Comprehensive Cancer Center Mainfranken, Würzburg, Germany,

    A Zamò, J Pischimarov, T Grieb, T Nedeva, L Flossbach, A Rosenwald & E Leich

  4. Theoretical Bioinformatics (B080), Computational Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany

    M Schlesner

  5. Institute for Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany

    P Rosenstiel

  6. Department of Translational Research, CRO, Aviano, Italy

    R Bomben & V Gattei

  7. Dr Margarete Fischer-Bosch-Institute for Clinical Pharmacology, Stuttgart, Germany

    H Horn

  8. Institute for Human Genetics, University Hospital Ulm, Ulm, Germany

    C López & R Siebert

  9. Institute for Human Genetics, University Hospital Schleswig-Holstein, Kiel, Germany

    C López, A Haake, J Richter & R Siebert

  10. Institute of Pathology, University Hospital Schleswig-Holstein, , Kiel, Germany

    J Richter, W Klapper & M Szczepanowski

  11. Department of Hematology and Medical Oncology, University Hospital, Göttingen, Germany

    L Trümper

  12. Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany

    C Lawerenz

  13. Institute of Pathology, University Hospital Ulm, , Ulm, Germany

    P Möller

  14. Institute of Pathology, Charité—University Hospital Berlin, Germany

    M Hummel & D Lenze

  15. Medizinische Klinik und Poliklinik II, University Hospital Würzburg, Würzburg, Germany

    M Schreder

  16. Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany

    G Ott

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Zamò, A., Pischimarov, J., Schlesner, M. et al. Differences between BCL2-break positive and negative follicular lymphoma unraveled by whole-exome sequencing. Leukemia 32, 685–693 (2018). https://doi.org/10.1038/leu.2017.270

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