| Literature DB >> 34171263 |
Sunil K Joshi1, Tamilla Nechiporuk2, Daniel Bottomly3, Paul D Piehowski4, Julie A Reisz5, Janét Pittsenbarger2, Andy Kaempf6, Sara J C Gosline7, Yi-Ting Wang7, Joshua R Hansen7, Marina A Gritsenko7, Chelsea Hutchinson7, Karl K Weitz7, Jamie Moon7, Francesca Cendali5, Thomas L Fillmore4, Chia-Feng Tsai7, Athena A Schepmoes7, Tujin Shi7, Osama A Arshad7, Jason E McDermott7, Ozgun Babur8, Kevin Watanabe-Smith9, Emek Demir10, Angelo D'Alessandro5, Tao Liu7, Cristina E Tognon2, Jeffrey W Tyner11, Shannon K McWeeney3, Karin D Rodland12, Brian J Druker11, Elie Traer13.
Abstract
Our study details the stepwise evolution of gilteritinib resistance in FLT3-mutated acute myeloid leukemia (AML). Early resistance is mediated by the bone marrow microenvironment, which protects residual leukemia cells. Over time, leukemia cells evolve intrinsic mechanisms of resistance, or late resistance. We mechanistically define both early and late resistance by integrating whole-exome sequencing, CRISPR-Cas9, metabolomics, proteomics, and pharmacologic approaches. Early resistant cells undergo metabolic reprogramming, grow more slowly, and are dependent upon Aurora kinase B (AURKB). Late resistant cells are characterized by expansion of pre-existing NRAS mutant subclones and continued metabolic reprogramming. Our model closely mirrors the timing and mutations of AML patients treated with gilteritinib. Pharmacological inhibition of AURKB resensitizes both early resistant cell cultures and primary leukemia cells from gilteritinib-treated AML patients. These findings support a combinatorial strategy to target early resistant AML cells with AURKB inhibitors and gilteritinib before the expansion of pre-existing resistance mutations occurs.Entities:
Keywords: AML; Aurora kinase B; FLT3; NRAS; drug resistance; gilteritinib; lipid metabolism; quizartinib; tumor microenvironment; tyrosine kinase inhibitor
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Year: 2021 PMID: 34171263 PMCID: PMC8686208 DOI: 10.1016/j.ccell.2021.06.003
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 38.585