Conclusions
These results suggest that c-myc expression predicts therapeutic responses to imipridones and that imipridones lead to suppression of tumor cell energy metabolism, eliciting unique metabolic vulnerabilities that can be exploited for clinical relevant drug combination therapies. Clin Cancer Res; 24(21); 5392-406. ©2018 AACR.
Purpose
The goal of this study is to enhance the efficacy of imipridones, a novel class of AKT/ERK inhibitors that displayed limited therapeutic efficacy against glioblastoma (GBM).Experimental Design: Gene set enrichment, LC/MS, and extracellular flux analyses were used to determine the mechanism of action of novel imipridone compounds, ONC206 and ONC212. Orthotopic patient-derived xenografts were utilized to evaluate therapeutic potency.
Results
Imipridones reduce the proliferation of patient-derived xenograft and stem-like glioblastoma cell cultures in vitro and in multiple xenograft models in vivo ONC212 displayed the highest potency. High levels of c-myc predict susceptibility to growth inhibition and apoptosis induction by imipridones and increased host survival in orthotopic patient-derived xenografts. As early as 1 hour, imipridones elicit on-target inhibition, followed by dephosphorylation of GSK3β at serine 9. GSK3β promotes phosphorylation of c-myc at threonine 58 and enhances its proteasomal degradation. Moreover, inhibition of c-myc by BRD4 antagonists sensitizes for imipridone-induced apoptosis in stem-like GBM cells in vitro and in vivo Imipridones affect energy metabolism by suppressing both glycolysis and oxidative phosphorylation, which is accompanied by a compensatory activation of the serine-one carbon-glycine (SOG) pathway, involving the transcription factor ATF4. Interference with the SOG pathway through novel inhibitors of PHGDH results in synergistic cell death induction in vitro and in vivo Conclusions: These results suggest that c-myc expression predicts therapeutic responses to imipridones and that imipridones lead to suppression of tumor cell energy metabolism, eliciting unique metabolic vulnerabilities that can be exploited for clinical relevant drug combination therapies. Clin Cancer Res; 24(21); 5392-406. ©2018 AACR.