Abstract

Abstract Treatment options that effectively cure patients diagnosed with acute myeloid leukemia (AML) continue to represent an area of unmet need in oncology clinical care. While remission rates in AML patients can reach upwards of 90% under the current frontline therapy paradigm, nearly all patients relapse with treatment refractory disease less than 5 years after diagnosis. Relapse driven by therapy resistant cells that persist in the body after treatment (defined as minimal residual disease, or MRD) is the principal source of fatality in AML patients. Therefore, understanding how and where these leukemic cells survive treatment in vivo may help advance the rational development of highly synergistic combination therapies for the treatment of AML. Using a functional genomic approach (in vivo RNAi) and a new mouse model of AML chemoresistance (ChemoR) generated in our labs, we have identified several putative mediators of therapy resistance. Transcriptional profiling of the ChemoR model allowed us to generate a chemoresistance gene signature that we overlapped with the results of the shRNA screen to identify high-confidence genes of interest. The top genes from a ranked list of the most highly overexpressed (OE) genes in ChemoR cells and the top depleted genes from the shRNA screen in the context of therapy treatment were selected as high interest hits and subsequently tagged for individual follow-up experiments. Early validation studies suggest that some of our hits protect leukemic cells resident only at specific anatomical niches from therapy, while other proteins appear to be general chemosensitizers both in vivo and in vitro, and in both murine and human AML. Subsequent work will focus on elucidating the mechanisms by which these proteins promote resistance to frontline therapies in AML. Citation Format: Azucena Ramos, Luis R. Millan Barea, Alexandre Puissant, Nina Fenouille, Gabriela Alexe, Kimberly Stegmaier, Michael T. Hemann. Uncovering novel mechanisms of resistance in AML using integrative functional genomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2358.

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