%0 Journal Article
%A Broséus, Julien
%A Hergalant, Sébastien
%A Vogt, Julia
%A Tausch, Eugen
%A Kreuz, Markus
%A Mottok, Anja
%A Schneider, Christof
%A Dartigeas, Caroline
%A Roos-Weil, Damien
%A Quinquenel, Anne
%A Moulin, Charline
%A Ott, German
%A Blanchet, Odile
%A Tomowiak, Cécile
%A Lazarian, Grégory
%A Rouyer, Pierre
%A Chteinberg, Emil
%A Bernhart, Stephan H
%A Tournilhac, Olivier
%A Gauchotte, Guillaume
%A Lomazzi, Sandra
%A Chapiro, Elise
%A Nguyen-Khac, Florence
%A Chery, Céline
%A Davi, Frédéric
%A Hunault, Mathilde
%A Houlgatte, Rémi
%A Rosenwald, Andreas
%A Delmer, Alain
%A Meyre, David
%A Béné, Marie-Christine
%A Thieblemont, Catherine
%A Lichter, Peter
%A Ammerpohl, Ole
%A Guéant, Jean-Louis
%A Guièze, Romain
%A Martin-Subero, José Ignacio
%A Cymbalista, Florence
%A Feugier, Pierre
%A Siebert, Reiner
%A Stilgenbauer, Stephan
%T Molecular characterization of Richter syndrome identifies de novo diffuse large B-cell lymphomas with poor prognosis.
%J Nature Communications
%V 14
%N 1
%@ 2041-1723
%C [London]
%I Nature Publishing Group UK
%M DKFZ-2023-00124
%P 309
%D 2023
%X Richter syndrome (RS) is the transformation of chronic lymphocytic leukemia (CLL) into aggressive lymphoma, most commonly diffuse large B-cell lymphoma (DLBCL). We characterize 58 primary human RS samples by genome-wide DNA methylation and whole-transcriptome profiling. Our comprehensive approach determines RS DNA methylation profile and unravels a CLL epigenetic imprint, allowing CLL-RS clonal relationship assessment without the need of the initial CLL tumor DNA. DNA methylation- and transcriptomic-based classifiers were developed, and testing on landmark DLBCL datasets identifies a poor-prognosis, activated B-cell-like DLBCL subset in 111/1772 samples. The classification robustly identifies phenotypes very similar to RS with a specific genomic profile, accounting for 4.3-8.3
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:36658118
%R 10.1038/s41467-022-34642-6
%U https://inrepo02.dkfz.de/record/210400