Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia. Academic Article uri icon

Overview

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.

authors

publication date

  • September 13, 2021

Research

keywords

  • Epithelial-Mesenchymal Transition
  • Gene Expression Profiling
  • Gene Expression Regulation, Leukemic
  • Gene Regulatory Networks
  • Genomic Instability
  • Leukemia, Lymphocytic, Chronic, B-Cell

Identity

Scopus Document Identifier

  • 85114874640

Digital Object Identifier (DOI)

  • 10.1038/s41467-021-25403-y

PubMed ID

  • 34518531

Additional Document Info

volume

  • 12

issue

  • 1