Author
Listed:
- Johannes Bloehdorn
(University of Ulm)
- Andrejs Braun
(Queen Mary University of London)
- Amaro Taylor-Weiner
(Broad Institute of Harvard and MIT)
- Billy Michael Chelliah Jebaraj
(University of Ulm)
- Sandra Robrecht
(University of Cologne)
- Julia Krzykalla
(German Cancer Research Center)
- Heng Pan
(Weill Cornell Medicine
Weill Cornell Medicine
Weill Cornell Medicine)
- Adam Giza
(University of Cologne)
- Gulnara Akylzhanova
(Queen Mary University of London)
- Karlheinz Holzmann
(Ulm University)
- Annika Scheffold
(University of Ulm)
- Harvey E. Johnston
(University of Southampton)
- Ru-Fang Yeh
(Biostatistics, Genentech Inc.)
- Tetyana Klymenko
(Queen Mary University of London)
- Eugen Tausch
(University of Ulm)
- Barbara Eichhorst
(University of Cologne)
- Lars Bullinger
(Charité University Hospital)
- Kirsten Fischer
(University of Cologne)
- Martin Weisser
(Roche Pharma Research and Early Development)
- Tadeusz Robak
(Medical University of Lodz)
- Christof Schneider
(University of Ulm)
- John Gribben
(Queen Mary University of London)
- Lekh N. Dahal
(University of Southampton
University of Liverpool)
- Mathew J. Carter
(University of Southampton)
- Olivier Elemento
(Weill Cornell Medicine
Weill Cornell Medicine
Weill Cornell Medicine
Weill Cornell Medicine)
- Dan A. Landau
(Weill Cornell Medicine
New York Genome Center)
- Donna S. Neuberg
(Dana-Farber Cancer Institute)
- Mark S. Cragg
(University of Southampton)
- Axel Benner
(German Cancer Research Center)
- Michael Hallek
(University of Cologne)
- Catherine J. Wu
(Broad Institute of Harvard and MIT
Dana-Farber Cancer Institute
Brigham and Women’s Hospital
Harvard Medical School)
- Hartmut Döhner
(University of Ulm)
- Stephan Stilgenbauer
(University of Ulm)
- Daniel Mertens
(University of Ulm
German Cancer Research Center (DKFZ))
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.
Suggested Citation
Johannes Bloehdorn & Andrejs Braun & Amaro Taylor-Weiner & Billy Michael Chelliah Jebaraj & Sandra Robrecht & Julia Krzykalla & Heng Pan & Adam Giza & Gulnara Akylzhanova & Karlheinz Holzmann & Annika, 2021.
"Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia,"
Nature Communications, Nature, vol. 12(1), pages 1-18, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25403-y
DOI: 10.1038/s41467-021-25403-y
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