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Molecular characterization of Richter syndrome identifies de novo diffuse large B-cell lymphomas with poor prognosis

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 de...

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Detalles Bibliográficos
Autores principales: Broséus, Julien, Hergalant, Sébastien, Vogt, Julia, Tausch, Eugen, Kreuz, Markus, Mottok, Anja, Schneider, Christof, Dartigeas, Caroline, Roos-Weil, Damien, Quinquenel, Anne, Moulin, Charline, Ott, German, Blanchet, Odile, Tomowiak, Cécile, Lazarian, Grégory, Rouyer, Pierre, Chteinberg, Emil, Bernhart, Stephan H., Tournilhac, Olivier, Gauchotte, Guillaume, Lomazzi, Sandra, Chapiro, Elise, Nguyen-Khac, Florence, Chery, Céline, Davi, Frédéric, Hunault, Mathilde, Houlgatte, Rémi, Rosenwald, Andreas, Delmer, Alain, Meyre, David, Béné, Marie-Christine, Thieblemont, Catherine, Lichter, Peter, Ammerpohl, Ole, Guéant, Jean-Louis, Guièze, Romain, Martin-Subero, José Ignacio, Cymbalista, Florence, Feugier, Pierre, Siebert, Reiner, Stilgenbauer, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852595/
https://www.ncbi.nlm.nih.gov/pubmed/36658118
http://dx.doi.org/10.1038/s41467-022-34642-6
Descripción
Sumario: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% of de novo DLBCLs. In this work, RS multi-omics characterization determines oncogenic mechanisms, establishes a surrogate marker for CLL-RS clonal relationship, and provides a clinically relevant classifier for a subset of primary “RS-type DLBCL” with unfavorable prognosis.