Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes

Autor: Dimitri Livitz, Matthew D. Ducar, Donna Neuberg, Jaegil Kim, Daniel Rosebrock, Lorenz Trümper, Amaro Taylor-Weiner, Andrew Dunford, Marita Ziepert, Margaretha G.M. Roemer, Jeremiah Wala, Stefano Monti, Rameen Beroukhim, Ester Rheinbay, Michael Pfreundschuh, Andreas Rosenwald, Mara Rosenberg, German Ott, Andrew L. Feldman, Michael S. Lawrence, Gerald Wulf, Matthew Meyerson, Paul Van Hummelen, Brian K. Link, Anne J. Novak, Chandra Sekhar Pedamallu, Gad Getz, Annette M. Staiger, Scott J. Rodig, Atanas Kamburov, Heike Horn, Chip Stewart, Todd R. Golub, Margaret A. Shipp, Bjoern Chapuy, Thomas M. Habermann, Aaron R. Thorner, Markus Loeffler, Amy Li, Adam Tracy, Ignaty Leshchiner, Caroline A. Coughlin, Julian M. Hess, Robert A. Redd, Reiner Siebert, James R. Cerhan
Rok vydání: 2018
Předmět:
Zdroj: Nature Medicine. 24:679-690
ISSN: 1546-170X
1078-8956
DOI: 10.1038/s41591-018-0016-8
Popis: Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is a clinically and genetically heterogeneous disease that is further classified into transcriptionally defined activated B-cell (ABC) and germinal center B-cell (GCB) subtypes. We carried out a a comprehensive genetic analysis of 304 primary DLBCLs that identifies low-frequency alterations, captured recurrent mutations, somatic copy number alterations (SCNAs) and structural variants (SVs), and defined coordinate signatures in patients with available outcome data. We integrated these genetic drivers using consensus clustering and identified five robust DLBCL subsets, including a previously unrecognized group of low-risk ABC-DLBCLs of extrafollicular/marginal zone origin; two distinct subsets of GCB-DLBCLs with different outcomes and targetable alterations; and an ABC/GCB-independent group with biallelic inactivation of TP53, CDKN2A loss and associated genomic instability. The genetic features of the newly characterized subsets, their mutational signatures and the temporal ordering of identified alterations provide new insights into DLBCL pathogenesis. The coordinate genetic signatures also predict outcome independent of the clinical International Prognostic Index and suggest new combination treatment strategies. More broadly, our results provide a roadmap for an actionable DLBCL classification.
Databáze: OpenAIRE