Bepridil exhibits anti-leukemic activity associated with NOTCH1 pathway inhibition in chronic lymphocytic leukemia.
Stefano BaldoniBeatrice Del PapaErica DorilloPatrizia AureliFilomena De FalcoChiara RompiettiDaniele SorciniEmanuela VarasanoDebora CecchiniTiziana ZeiAmbra Di TommasoEmanuela RosatiGabriela AlexeGiovanni RotiKimberly StegmaierMauro Di IanniFranca FalzettiPaolo SportolettiPublished in: International journal of cancer (2018)
Dysregulated NOTCH1 signaling, by either gene mutations or microenvironment interactions, has been increasingly linked to chronic lymphocytic leukemia (CLL). Thus, inhibiting NOTCH1 activity represents a potential therapeutic opportunity for this disease. Using gene expression-based screening, we identified the calcium channel modulator bepridil as a new NOTCH1 pathway inhibitor. In primary CLL cells, bepridil induced selective apoptosis even in the presence of the protective stroma. Cytotoxic effects of bepridil were independent of NOTCH1 mutation and other prognostic markers. The antitumor efficacy of bepridil was associated with inhibition of NOTCH1 activity through a decrement in trans-membrane and activated NOTCH1 protein levels with unchanged NOTCH2 protein levels. In a CLL xenotransplant model, bepridil significantly reduced the percentage of leukemic cells infiltrating the spleen via enhanced apoptosis and decreased NOTCH1 activation. In conclusion, we report in vitro and in vivo anti-leukemic activity of bepridil associated with inhibition of the NOTCH1 pathway in CLL. These data provide a rationale for the clinical development of bepridil as anti-NOTCH1 targeted therapy for CLL patients.
Keyphrases
- chronic lymphocytic leukemia
- cell proliferation
- gene expression
- cell cycle arrest
- induced apoptosis
- oxidative stress
- acute myeloid leukemia
- dna methylation
- endoplasmic reticulum stress
- stem cells
- signaling pathway
- newly diagnosed
- machine learning
- ejection fraction
- endothelial cells
- prognostic factors
- electronic health record
- drug delivery
- protein protein
- artificial intelligence
- high glucose
- cancer therapy
- data analysis