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

Autor: 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
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-25403-y
Popis: Chronic lymphocytic leukemia has been studied using multiple levels of omics data. Here, the authors use exome sequencing, SNP, protein and gene expression data to identify distinct biologic tumor subtypes with heterogeneous prognostic impact after chemo- or immunochemotherapy.
Databáze: Directory of Open Access Journals