Blood · 2018 · 63 citations · 24 references
MedicineImmunologyOncologyCancer ImmunologyMolecular OncologyTumor ImmunologyBiomarker-guided ImmunotherapyCancer BiomarkersCancer ImmunotherapyImmune Checkpoint InhibitorsImmuno-oncology BiomarkersTargeted Cancer TherapyBiomarker-driven RepurposingProgrammed Cell Death Ligand 1 InhibitionProgrammed Cell Death Protein 1 InhibitorsProgrammed Death-ligand 1 BiomarkerProgrammed Death-ligand 1 InhibitionProgrammed Death-ligand 1 InhibitorsProgrammed Death-ligand 1 Targeting
There is a pressing need for more effective therapies to treat patients with T-cell lymphomas (TCLs), including first-line approaches that increase the response rate to cyclophosphamide, adriamycin, vincristine, and prednisone (CHOP) chemotherapy. We characterized the mitochondrial apoptosis pathway in cell lines and patient-derived xenograft (PDX) models of TCL and assessed the in vitro efficacy of BH3 mimetics, including the BCL2 inhibitor venetoclax, the BCL2/BCL-xL inhibitor navitoclax, and the novel MCL1 inhibitor AZD5991. The abundance of antiapoptotic BCL2 family members based on immunoblotting or RNA transcript levels correlated poorly with the activity of BH3 mimetics. In contrast, the functional approach BH3 profiling reliably predicted sensitivity to BH3 mimetics in vitro and in vivo. We used BH3 profiling to select TCL PDX that were dependent on MCL1. Mice xenografted with these PDX and treated with AZD5991 had markedly improved survival. The combination of AZD5991 and CHOP achieved synergy based on survival improvement beyond a mathematical "sum of benefits" model. Thus, MCL1 inhibition is a promising strategy as both a single agent and in combination with chemotherapy for patients with TCL and functional dependence on MCL1.
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THE TOXICITY OF POISONS APPLIED JOINTLY1
C. I. Bliss · Annals of Applied Biology · 1939 · 2.4K citations
Pharmacy, Pharmacology, Toxicology +15
The MCL1 inhibitor S63845 is tolerable and effective in diverse cancer models
András Kotschy, Zoltán Szlávik, James B. Murray et al. · Nature · 2016 · 1.1K citations
Medicine, Oncology, Pharmacology +11