2023
DOI: 10.1016/j.clml.2023.07.011
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SOHO State of the Art Updates and Next Questions: Updates on BTK Inhibitors for the Treatment of Chronic Lymphocytic Leukemia

Saumya Easaw,
Shawyon Ezzati,
Catherine C. Coombs
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Cited by 5 publications
(2 citation statements)
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“…BTK inhibitors have become a cornerstone of CLL therapy, as B cell receptor (BCR) signaling is a key dependency of CLL cells that is required to sustain prosurvival signals from the microenvironment 19 . Several BTK inhibitors are available for the treatment of CLL and have demonstrated good long-term efficacy 20 . In the context of RT, preclinical models have demonstrated BCR signaling dependency that suggests sensitivity to BCR inhibitors 21 .…”
Section: Mainmentioning
confidence: 99%
“…BTK inhibitors have become a cornerstone of CLL therapy, as B cell receptor (BCR) signaling is a key dependency of CLL cells that is required to sustain prosurvival signals from the microenvironment 19 . Several BTK inhibitors are available for the treatment of CLL and have demonstrated good long-term efficacy 20 . In the context of RT, preclinical models have demonstrated BCR signaling dependency that suggests sensitivity to BCR inhibitors 21 .…”
Section: Mainmentioning
confidence: 99%
“…As is typical with kinase small-molecule drug discovery, the emergence of resistance mutations (e.g., C481S and T474M in BTK) is a critical concern for clinical efficacy and treatment. , These mutations impact the binding affinity and overall target engagement of inhibitors against BTK, especially mutation in the C481 position in the context of covalent inhibitors. Recent noncovalent BTK inhibitors such as pirtobrutinib and nemtabrutinib, including novel therapeutic protein degraders, hold promise for addressing some of the limitations of acquired resistance in relapsed and/or refractory patients previously treated with covalent BTK inhibitors. Nevertheless, accurately predicting the effect of mutations in drug binding and pathogenesis could inform targeted approaches in drug discovery, as well as shed light on drug resistance mechanisms. With the advent of increased computer power, hardware technology, and algorithmic development, advanced computational approaches such as molecular dynamics and binding free energy calculations, are becoming routine in early stage drug discovery applications.…”
Section: Introductionmentioning
confidence: 99%