Jay M Gamma, Qiang Liu, Erwan Beauchamp, Aishwarya Iyer, Megan C Yap, Zoulika Zak, Cassidy Ekstrom, Rony Pain, Morris A Kostiuk, John R Mackey, Joseph Brandwein, Jean Cy Wang, Luc G Berthiaume
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引用次数: 0
Abstract
Acute myeloid leukemia (AML) is a hematological malignancy with limited treatment options and a high likelihood of recurrence after chemotherapy. We studied N-myristoylation, the myristate modification of proteins linked to survival signaling and metabolism, as a potential therapeutic target for AML. N-myristoylation is catalyzed by two N-myristoyltransferases (NMTs), NMT1 and NMT2, with varying expressions in AML cell lines and patient samples. We identified NMT2 expression as a marker for AML patient survival, and low NMT2 expression was associated with poor outcomes. We used the first-in-class pan-NMT inhibitor, zelenirstat, to investigate the role of N-myristoylation in AML. Zelenirstat effectively inhibits myristoylation in AML cell lines and patient samples, leading to degradation of Src family kinases (SFKs), induction of endoplasmic reticulum (ER) stress, apoptosis, and cell death. Zelenirstat was well tolerated in vivo and reduced the leukemic burden in an ectopic AML cell line and in multiple orthotopic AML patient-derived xenograft models. The leukemia stem cell (LSC)-enriched fractions of the hierarchical OCI-AML22 model were highly sensitive to myristoylation inhibition. Zelenirstat also impairs mitochondrial complex I and oxidative phosphorylation, which are critical for LSC survival. These findings suggest that targeting N-myristoylation with zelenirstat represents a novel therapeutic approach for AML, with promise in patients with currently poor outcomes.
期刊介绍:
Molecular Cancer Therapeutics will focus on basic research that has implications for cancer therapeutics in the following areas: Experimental Cancer Therapeutics, Identification of Molecular Targets, Targets for Chemoprevention, New Models, Cancer Chemistry and Drug Discovery, Molecular and Cellular Pharmacology, Molecular Classification of Tumors, and Bioinformatics and Computational Molecular Biology. The journal provides a publication forum for these emerging disciplines that is focused specifically on cancer research. Papers are stringently reviewed and only those that report results of novel, timely, and significant research and meet high standards of scientific merit will be accepted for publication.