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Integrative multi-omics networks identify PKCδ and DNA-PK as master kinases of glioblastoma subtypes and guide targeted cancer therapy

2 Feb 2023

Abstract excerpt

Despite producing a panoply of potential cancer-specific targets, the proteogenomic characterization of human tumors has yet to demonstrate value for precision cancer medicine. Integrative multi-omics using a machine-learning network identified master kinases responsible for effecting phenotypic hallmarks of functional glioblastoma subtypes. In subtype-matched patient-derived models, we validated PKCδ and DNA-PK...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 36732634
DOI: 10.1038/s43018-022-00510-x

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