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

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 chara...

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Autores principales: Bloehdorn, Johannes, Braun, Andrejs, Taylor-Weiner, Amaro, Jebaraj, Billy Michael Chelliah, Robrecht, Sandra, Krzykalla, Julia, Pan, Heng, Giza, Adam, Akylzhanova, Gulnara, Holzmann, Karlheinz, Scheffold, Annika, Johnston, Harvey E., Yeh, Ru-Fang, Klymenko, Tetyana, Tausch, Eugen, Eichhorst, Barbara, Bullinger, Lars, Fischer, Kirsten, Weisser, Martin, Robak, Tadeusz, Schneider, Christof, Gribben, John, Dahal, Lekh N., Carter, Mathew J., Elemento, Olivier, Landau, Dan A., Neuberg, Donna S., Cragg, Mark S., Benner, Axel, Hallek, Michael, Wu, Catherine J., Döhner, Hartmut, Stilgenbauer, Stephan, Mertens, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438057/
https://www.ncbi.nlm.nih.gov/pubmed/34518531
http://dx.doi.org/10.1038/s41467-021-25403-y
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author Bloehdorn, Johannes
Braun, Andrejs
Taylor-Weiner, Amaro
Jebaraj, Billy Michael Chelliah
Robrecht, Sandra
Krzykalla, Julia
Pan, Heng
Giza, Adam
Akylzhanova, Gulnara
Holzmann, Karlheinz
Scheffold, Annika
Johnston, Harvey E.
Yeh, Ru-Fang
Klymenko, Tetyana
Tausch, Eugen
Eichhorst, Barbara
Bullinger, Lars
Fischer, Kirsten
Weisser, Martin
Robak, Tadeusz
Schneider, Christof
Gribben, John
Dahal, Lekh N.
Carter, Mathew J.
Elemento, Olivier
Landau, Dan A.
Neuberg, Donna S.
Cragg, Mark S.
Benner, Axel
Hallek, Michael
Wu, Catherine J.
Döhner, Hartmut
Stilgenbauer, Stephan
Mertens, Daniel
author_facet Bloehdorn, Johannes
Braun, Andrejs
Taylor-Weiner, Amaro
Jebaraj, Billy Michael Chelliah
Robrecht, Sandra
Krzykalla, Julia
Pan, Heng
Giza, Adam
Akylzhanova, Gulnara
Holzmann, Karlheinz
Scheffold, Annika
Johnston, Harvey E.
Yeh, Ru-Fang
Klymenko, Tetyana
Tausch, Eugen
Eichhorst, Barbara
Bullinger, Lars
Fischer, Kirsten
Weisser, Martin
Robak, Tadeusz
Schneider, Christof
Gribben, John
Dahal, Lekh N.
Carter, Mathew J.
Elemento, Olivier
Landau, Dan A.
Neuberg, Donna S.
Cragg, Mark S.
Benner, Axel
Hallek, Michael
Wu, Catherine J.
Döhner, Hartmut
Stilgenbauer, Stephan
Mertens, Daniel
author_sort Bloehdorn, Johannes
collection PubMed
description 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.
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spelling pubmed-84380572021-10-04 Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia Bloehdorn, Johannes Braun, Andrejs Taylor-Weiner, Amaro Jebaraj, Billy Michael Chelliah Robrecht, Sandra Krzykalla, Julia Pan, Heng Giza, Adam Akylzhanova, Gulnara Holzmann, Karlheinz Scheffold, Annika Johnston, Harvey E. Yeh, Ru-Fang Klymenko, Tetyana Tausch, Eugen Eichhorst, Barbara Bullinger, Lars Fischer, Kirsten Weisser, Martin Robak, Tadeusz Schneider, Christof Gribben, John Dahal, Lekh N. Carter, Mathew J. Elemento, Olivier Landau, Dan A. Neuberg, Donna S. Cragg, Mark S. Benner, Axel Hallek, Michael Wu, Catherine J. Döhner, Hartmut Stilgenbauer, Stephan Mertens, Daniel Nat Commun Article 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. Nature Publishing Group UK 2021-09-13 /pmc/articles/PMC8438057/ /pubmed/34518531 http://dx.doi.org/10.1038/s41467-021-25403-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bloehdorn, Johannes
Braun, Andrejs
Taylor-Weiner, Amaro
Jebaraj, Billy Michael Chelliah
Robrecht, Sandra
Krzykalla, Julia
Pan, Heng
Giza, Adam
Akylzhanova, Gulnara
Holzmann, Karlheinz
Scheffold, Annika
Johnston, Harvey E.
Yeh, Ru-Fang
Klymenko, Tetyana
Tausch, Eugen
Eichhorst, Barbara
Bullinger, Lars
Fischer, Kirsten
Weisser, Martin
Robak, Tadeusz
Schneider, Christof
Gribben, John
Dahal, Lekh N.
Carter, Mathew J.
Elemento, Olivier
Landau, Dan A.
Neuberg, Donna S.
Cragg, Mark S.
Benner, Axel
Hallek, Michael
Wu, Catherine J.
Döhner, Hartmut
Stilgenbauer, Stephan
Mertens, Daniel
Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
title Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
title_full Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
title_fullStr Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
title_full_unstemmed Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
title_short Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
title_sort multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438057/
https://www.ncbi.nlm.nih.gov/pubmed/34518531
http://dx.doi.org/10.1038/s41467-021-25403-y
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