Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia
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.
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-09-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-25403-y |