Preclinical evaluation of ixazomib for high-risk pediatric brain tumors
Janko, E.; Walker, F. M.; Slade, M.; Danis, E.; Bompada, P.; Martin Sobral, L.; Chapman, J.; Bal, S.; Link, G.; McQuillan, N.; Mulcahy Levy, J. M.; Green, A. L.; Dahl, N. A.
Show abstract
Background: Many of the highest risk pediatric brain cancers continue to experience poor clinical outcomes despite intensification of current multimodal therapy. Proteasome inhibition has shown preclinical promise across a range of cancer models including diffuse midline glioma (DMG), medulloblastoma, and atypical teratoid / rhabdoid tumors (ATRT), though clinically viable agents have been limited. Recent studies in adults with glioblastoma suggest that ixazomib, a second-generation proteasome inhibitor, might achieve therapeutic concentrations in the CNS, presenting the opportunity that a CNS penetrant proteasome inhibitor might be similarly leveraged for benefit in childhood brain cancers. Methods: Ixazomib was tested against cell lines and orthotopic xenograft models of DMG, Myc-amplified medulloblastoma (Myc-MB), and ATRT. RNA sequencing and LC-MS based proteomics were utilized to define functional consequences of ixazomib treatment in these models. Proteasome activity readouts were used to assess ixazomib activity across brain regions and extracranial solid organs. Results: Ixazomib demonstrates consistent cytotoxic effect across high-risk brain tumor models at low nanomolar concentrations. Ixazomib treatment activates proteostatic stress response and apoptosis. Treatment with ixazomib does not demonstrate survival benefit in orthotopic models, however, and pharmacodynamic testing suggests insufficient inhibition of proteasome activity within the CNS compared to extracranial tissues. Conclusions: While many pediatric brain tumor models demonstrate susceptibility to proteasome inhibition, ixazomib may lack sufficient blood-brain barrier penetration to be a translationally viable means of exploiting this vulnerability.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- ONC206 demonstrates potent anti-tumorigenic activity and is a potential novel therapeutic strategy for high-risk medulloblastoma 94%
- RAC1 Regulates Shh-Medulloblastoma Growth via GLI-Mediated Transcription 90%
- Advancing Clinical Response Against Glioblastoma: Evaluating SHP1705 CRY2 Activator Efficacy in Preclinical Models and Safety in Phase I Trials 90%
Similar papers in this journal
- An ex vivo functional biomarker of treatment response in pediatric low-grade glioma 92%
- Effects of Combination Therapy of a CDK4/6 and MEK Inhibitor in Diffuse Midline Glioma Preclinical Models 91%
- Utilisation of semiconductor sequencing for the detection of predictive biomarkers in glioblastoma 91%
Similar papers in this journal
- Combination Therapies Targeting Alk-Aberrant Neuroblastoma In Preclinical Models. 89%
- Phase 1b dose expansion and translational analyses of olaparib in combination with the oral AKT inhibitor capivasertib in recurrent endometrial, triple negative breast, and ovarian, primary peritoneal, or fallopian tube cancer 88%
- Preclinical modeling of surgery and steroid therapy for glioblastoma reveals changes in immunophenotype that are associated with tumor growth and outcome 88%
Similar papers in this journal
- NAPRT expression and epigenetic regulation in pediatric rhabdomyosarcoma as a potential biomarker for NAMPT inhibition 91%
- Pharmacogenomic synthetic lethal screens reveal hidden vulnerabilities and new therapeutic approaches for treatment of NF1-associated tumors 90%
- TUB-010, a novel anti-CD30 antibody-drug conjugate based on Tub-tag technology, widens the therapeutic window by reducing toxicity while maintaining high efficacy 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.