Multi-Omics analysis identifies novel proteogenomic groups in treatment naive AML that guide disease prognosis and therapy stratification
In this study, we present an integrated Multi-Omics analysis of protein and gene expression as well as cytogenetics and mutations to capture the rewiring of intracellular protein networks that is most likely caused by genomic aberrations. Because protein networks are downstream of genomic aberrations, we hypothesized that our Multi-Omics approach may add to the current AML classification by identifying proteomic AML subtypes with specific clinical and molecular features that could identify therapeutic vulnerabilities and aid in the identification of predictive biomarkers.