Abstract

Abstract The overall survival of patients diagnosed with Acute Myeloid Leukemia (AML) remains low. While initial responses to therapy are favorable, the duration of response is short and overcoming therapeutic resistance has proven difficult. A better understanding of the tumor cell biology and resistance mechanisms may shed light onto novel therapeutic targets that improve long-term outcome. In this study, we performed an exhaustive analysis to include deep tumor phenotyping, drug sensitivity profiling and comprehensive omic characterization. These datasets were included in integrative pharmaco-phenotypic-multiomic analyses to identify targets and biomarkers associated with cellular phenotype and drug response. Our results reveal that the major cellular discriminant within the cellular phenotype is CD34 expression, which associates with a high PDK-mediated metabolic profile and cytarabine sensitivity. Tumors exhibiting cytarabine resistance associate with a CD34-negative cellular phenotype and molecular characteristics such as MYC copy number gain, and increased expression of SAMDH1, FBP1 and TYMP proteins. Citation Format: Gilad Silberberg, Bandana Vishwakarama, Brandon Walling, Chelsea Riveley, Alessandra Audia, Marianna Zipeto, Ido Sloma, Amy Wesa, Michael Ritchie. A pheno-multiomic integration analysis of primary samples of acute myeloid leukemia reveals biomarkers of cytarabine resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3907.

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