1. Stearoyl-CoA desaturase inhibition is toxic to acute myeloid leukemia displaying high levels of the de novo fatty acid biosynthesis and desaturation.
- Author
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Dembitz V, Lawson H, Burt R, Natani S, Philippe C, James SC, Atkinson S, Durko J, Wang LM, Campos J, Magee AMS, Woodley K, Austin MJ, Rio-Machin A, Casado P, Bewicke-Copley F, Rodriguez Blanco G, Pereira-Martins D, Oudejans L, Boet E, von Kriegsheim A, Schwaller J, Finch AJ, Patel B, Sarry JE, Tamburini J, Schuringa JJ, Hazlehurst L, Copland Iii JA, Yuneva M, Peck B, Cutillas P, Fitzgibbon J, Rouault-Pierre K, Kranc K, and Gallipoli P
- Subjects
- Humans, Mice, Animals, Prognosis, Cell Line, Tumor, Enzyme Inhibitors pharmacology, Xenograft Model Antitumor Assays, DNA Damage drug effects, Leukemia, Myeloid, Acute drug therapy, Leukemia, Myeloid, Acute metabolism, Leukemia, Myeloid, Acute pathology, Stearoyl-CoA Desaturase antagonists & inhibitors, Stearoyl-CoA Desaturase metabolism, Stearoyl-CoA Desaturase genetics, Fatty Acids metabolism, Fatty Acids biosynthesis
- Abstract
Identification of specific and therapeutically actionable vulnerabilities, ideally present across multiple mutational backgrounds, is needed to improve acute myeloid leukemia (AML) patients' outcomes. We identify stearoyl-CoA desaturase (SCD), the key enzyme in fatty acid (FA) desaturation, as prognostic of patients' outcomes and, using the clinical-grade inhibitor SSI-4, show that SCD inhibition (SCDi) is a therapeutic vulnerability across multiple AML models in vitro and in vivo. Multiomic analysis demonstrates that SCDi causes lipotoxicity, which induces AML cell death via pleiotropic effects. Sensitivity to SCDi correlates with AML dependency on FA desaturation regardless of mutational profile and is modulated by FA biosynthesis activity. Finally, we show that lipotoxicity increases chemotherapy-induced DNA damage and standard chemotherapy further sensitizes AML cells to SCDi. Our work supports developing FA desaturase inhibitors in AML while stressing the importance of identifying predictive biomarkers of response and biologically validated combination therapies to realize their full therapeutic potential., (© 2024. The Author(s).)
- Published
- 2024
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