Patient age at diagnosis is associated with the molecular characteristics of diffuse large B-cell lymphoma

Author:

Klapper Wolfram1,Kreuz Markus2,Kohler Christian W.3,Burkhardt Birgit4,Szczepanowski Monika1,Salaverria Itziar5,Hummel Michael6,Loeffler Markus2,Pellissery Shoji5,Woessmann Wilhelm4,Schwänen Carsten7,Trümper Lorenz8,Wessendorf Swen7,Spang Rainer3,Hasenclever Dirk2,Siebert Reiner5,

Affiliation:

1. Department of Pathology, Hematopathology Section and Lymph Node Registry, University Hospital Schleswig-Holstein, Campus Kiel/University of Kiel, Kiel, Germany;

2. Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany;

3. Institute of Functional Genomics, University of Regensburg, Regensburg, Germany;

4. NHL-BFM Study Center, Department of Pediatric Hematology and Oncology, Justus-Liebig-University, Giessen, Germany;

5. Department of Human Genetics, University Hospital Schleswig-Holstein, Campus Kiel/University of Kiel, Kiel, Germany;

6. Institute of Pathology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Berlin, Germany;

7. Cytogenetic and Molecular Diagnostics, Internal Medicine III, University Hospital of Ulm, Ulm, Germany; and

8. Department of Hematology and Oncology, Georg-August University of Göttingen, Göttingen, Germany

Abstract

Abstract Diffuse large B-cell lymphoma is the most frequent type of B-cell lymphoma in adult patients but also occurs in children. Patients are currently assigned to therapy regimens based on arbitrarily chosen age limits only (eg, 18 or 60 years) and not biologically justified limits. A total of 364 diffuse large B-cell lymphomas and related mature aggressive B-cell lymphomas other than Burkitt lymphoma from all age groups were analyzed by comprehensive molecular profiling. The probability of several biologic features previously reported to be associated with poor prognosis in diffuse large B-cell lymphoma, such as ABC subtype, BCL2 expression, or cytogenetic complexity, increases with age at diagnosis. Similarly, various genetic features, such as IRF4 translocations, gains in 1q21, 18q21, 7p22, and 7q21, as well as changes in 3q27, including gains and translocations affecting the BCL6 locus, are significantly associated with patient age, but no cut-offs between age groups could be defined. If age was incorporated in multivariate analyses, genetic complexity lost its prognostic significance, whereas the prognostic impact of ABC subtype and age were additive. Our data indicate that aging is a major determinant of lymphoma biology. They challenge current concepts regarding both prognostic biomarkers and treatment stratification based on strict age cut-offs.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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