j 2023

Editorial: Biology and treatment of high-risk CLL

TAUSCH, Eugen; Jitka MALČÍKOVÁ; John C RICHES and Jennifer EDELMANN

Basic information

Original name

Editorial: Biology and treatment of high-risk CLL

Authors

TAUSCH, Eugen; Jitka MALČÍKOVÁ; John C RICHES and Jennifer EDELMANN

Edition

2023

Publisher

Frontiers Media S.A.

Other information

Language

English

Type of outcome

Article in a journal (not reviewed)

Country of publisher

Switzerland

Confidentiality degree

is not subject to a state or trade secret

References:

Organization

Lékařská fakulta – Repository – Repository

UT WoS

000943936000001

EID Scopus

2-s2.0-85149661799

Keywords in English

chronic lymphocytic leukemia (CLL); high-risk; TP53; targeted therapy; omics; registries

Links

LX22NPO5102, research and development project.
Changed: 23/3/2024 03:48, RNDr. Daniel Jakubík

Abstract

V originále

In the era of chemoimmunotherapy, high-risk chronic lymphocytic leukaemia (CLL) was defined by the presence of TP53 loss and/or TP53 mutation and by refractoriness to purine‐analogue based treatment (no remission or remission under 6 months in duration), respectively. The advent of chemo‐free treatment regimens at all disease stages requires a re‐definition of the term “high‐risk CLL”, but this constitutes a challenging task when considering the rapidly evolving treatment landscape and the increasing knowledge about CLL pathobiology obtained over recent years. While CLL characterization used to focus on clinical parameters and limited genomic analyses, samples can nowadays be analysed in a far more comprehensive manner, since “omics” technologies allow an integrative analysis of data obtained at the genomic, epigenomic, transcriptomic, and proteomic level as well as an assessment of spatial tumor heterogeneity and tumor evolution over time. Next to intrinsic CLL characteristics, a growing understanding about the interplay of CLL cells with their microenvironment provides additional aspects to consider for CLL risk stratification. The wealth of information that can in principle be obtained for each CLL case challenges the identification of biomarkers conferring poor prognosis and predicting treatment failure.

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