BCR::ABL1 Proteolysis-targeting chimeras (PROTACs): The new frontier in the treatment of Ph + leukemias?
Nataly Cruz-RodriguezHua TangBenjamin BatemanWeiping TangMichael W DeiningerPublished in: Leukemia (2024)
BCR::ABL1 tyrosine kinase inhibitors (TKIs) have turned chronic myeloid leukemia (CML) from a lethal condition into a chronic ailment. With optimal management, the survival of CML patients diagnosed in the chronic phase is approaching that of age-matched controls. However, only one-third of patients can discontinue TKIs and enter a state of functional cure termed treatment-free remission (TFR), while the remainder require life-long TKI therapy to avoid the recurrence of active leukemia. Approximately 10% of patients exhibit primary or acquired TKI resistance and eventually progress to the blast phase. It is thought that recurrence after attempted TFR originates from CML stem cells (LSCs) surviving despite continued suppression of BCR::ABL1 kinase. Although kinase activity is indispensable for induction of overt CML, kinase-independent scaffold functions of BCR::ABL1 are known to contribute to leukemogenesis, raising the intriguing but as yet hypothetical possibility, that degradation of BCR::ABL1 protein may accomplish what TKIs fail to achieve - eliminate residual LSCs to turn functional into real cures. The advent of BCR::ABL1 proteolysis targeting chimeras (PROTACs), heterobifunctional molecules linking a TKI-based warhead to an E3 ligase recruiter, has moved clinical protein degradation into the realm of the possible. Here we examine the molecular rationale as well as pros and cons of degrading BCR::ABL1 protein. We review reported BCR::ABL1 PROTACs, point out limitations of available data and compounds and suggest directions for future research. Ultimately, clinical testing of a potent and specific BCR::ABL1 degrader will be required to determine the efficacy and tolerability of this approach.
Keyphrases
- chronic myeloid leukemia
- tyrosine kinase
- end stage renal disease
- stem cells
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- clinical trial
- bone marrow
- machine learning
- small molecule
- cancer therapy
- acute myeloid leukemia
- big data
- deep learning
- sensitive detection
- anti inflammatory
- free survival
- tissue engineering