1. Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma.
- Author
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Fernandez EG, Mai WX, Song K, Bayley NA, Kim J, Zhu H, Pioso M, Young P, Andrasz CL, Cadet D, Liau LM, Li G, Yong WH, Rodriguez FJ, Dixon SJ, Souers AJ, Li JJ, Graeber TG, Cloughesy TF, and Nathanson DA
- Subjects
- Humans, Cell Line, Tumor, Brain Neoplasms genetics, Brain Neoplasms pathology, Brain Neoplasms metabolism, Brain Neoplasms drug therapy, Animals, Signal Transduction, Mice, Machine Learning, Mitochondria metabolism, Gene Expression Regulation, Neoplastic, Tumor Suppressor Protein p53 metabolism, Tumor Suppressor Protein p53 genetics, Antineoplastic Agents pharmacology, Antineoplastic Agents therapeutic use, Glioma genetics, Glioma metabolism, Glioma pathology, Glioma drug therapy, Apoptosis drug effects, Apoptosis genetics
- Abstract
Genomic profiling often fails to predict therapeutic outcomes in cancer. This failure is, in part, due to a myriad of genetic alterations and the plasticity of cancer signaling networks. Functional profiling, which ascertains signaling dynamics, is an alternative method to anticipate drug responses. It is unclear whether integrating genomic and functional features of solid tumours can provide unique insight into therapeutic vulnerabilities. We perform combined molecular and functional characterization, via BH3 profiling of the intrinsic apoptotic machinery, in glioma patient samples and derivative models. We identify that standard-of-care therapy rapidly rewires apoptotic signaling in a genotype-specific manner, revealing targetable apoptotic vulnerabilities in gliomas containing specific molecular features (e.g., TP53 WT). However, integration of BH3 profiling reveals high mitochondrial priming is also required to induce glioma apoptosis. Accordingly, a machine-learning approach identifies a composite molecular and functional signature that best predicts responses of diverse intracranial glioma models to standard-of-care therapies combined with ABBV-155, a clinical drug targeting intrinsic apoptosis. This work demonstrates how complementary functional and molecular data can robustly predict therapy-induced cell death., Competing Interests: Competing interests: The authors declare the following competing interests, D.A.N. is a co-founder of Trethera Corporation and has equity in the company. D.A.N. and T.F.C. are co-founders of Katmai Pharmaceuticals and have equity in the company. T.G.G. has consulting and equity agreements with Auron Therapeutics, Boundless Bio, Coherus BioSciences and Trethera Corporation. E.G.F., W.X.M., K.S., N.A.B., J.K., H.Z., M.P., P.Y., C.L.A., D.C., L.M.L., G.L., W.H.Y., F.J.R., S.J.D., A.J.S., and J.J.L. have no competing interests to declare., (© 2024. The Author(s).)
- Published
- 2024
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