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  • Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia.

Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia.

Nature communications (2021-09-15)
Johannes Bloehdorn, Andrejs Braun, Amaro Taylor-Weiner, Billy Michael Chelliah Jebaraj, Sandra Robrecht, Julia Krzykalla, Heng Pan, Adam Giza, Gulnara Akylzhanova, Karlheinz Holzmann, Annika Scheffold, Harvey E Johnston, Ru-Fang Yeh, Tetyana Klymenko, Eugen Tausch, Barbara Eichhorst, Lars Bullinger, Kirsten Fischer, Martin Weisser, Tadeusz Robak, Christof Schneider, John Gribben, Lekh N Dahal, Mathew J Carter, Olivier Elemento, Dan A Landau, Donna S Neuberg, Mark S Cragg, Axel Benner, Michael Hallek, Catherine J Wu, Hartmut Döhner, Stephan Stilgenbauer, Daniel Mertens
ABSTRACT

Knowledge of the genomic landscape of chronic lymphocytic leukemia (CLL) grows increasingly detailed, providing challenges in contextualizing the accumulated information. To define the underlying networks, we here perform a multi-platform molecular characterization. We identify major subgroups characterized by genomic instability (GI) or activation of epithelial-mesenchymal-transition (EMT)-like programs, which subdivide into non-inflammatory and inflammatory subtypes. GI CLL exhibit disruption of genome integrity, DNA-damage response and are associated with mutagenesis mediated through activation-induced cytidine deaminase or defective mismatch repair. TP53 wild-type and mutated/deleted cases constitute a transcriptionally uniform entity in GI CLL and show similarly poor progression-free survival at relapse. EMT-like CLL exhibit high genomic stability, reduced benefit from the addition of rituximab and EMT-like differentiation is inhibited by induction of DNA damage. This work extends the perspective on CLL biology and risk categories in TP53 wild-type CLL. Furthermore, molecular targets identified within each subgroup provide opportunities for new treatment approaches.