Smita Matkar, Michael P East, Timothy J Stuhlmiller, Gabriela Witek, Alvin Farrel, Steven Pastor, Denis O Okumu, Anne Kennedy, Joshua R Kalna, Esther R Berko, Colleen E Casey, Kateryna Krytska, Khushbu Patel, Jo Lynne Rokita, Mark Gerelus, John M Maris, Gary L Johnson, Yael P Mossé
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引用次数: 0
Abstract
Mutations in the tyrosine kinase domain of the Anaplastic Lymphoma Kinase (ALK) oncogene in neuroblastoma occur most frequently at one of three hotspot amino acid residues, with the F1174* and F1245* variants conferring de novo resistance to first and second generation ALK inhibitors including crizotinib and ceritinib. Lorlatinib, a third generation ALK/ROS inhibitor, overcomes de novo resistance and induces complete and sustained tumor regressions in patient-derived xenograft (PDX) models unresponsive to crizotinib. Lorlatinib has now completed Phase 1 testing in children and adults with relapsed/refractory ALK-driven neuroblastoma and entered pivotal Phase 3 testing within the Children's Oncology Group. To define mechanisms underlying the superior activity of lorlatinib, we utilized a chemical proteomics approach to quantitatively measure functional kinome dynamics in response to lorlatinib and crizotinib in clinically relevant ALK-driven neuroblastoma PDX models. Lorlatinib was a markedly more potent inhibitor of ALK and preferentially downregulated several kinases implicated in G2/M cell cycle transition compared to crizotinib. Lorlatinib treatment also led to the repression of MYCN expression and its occupancy at promoters of the same G2/M kinases. These data providing mechanistic insight into the superior efficacy of lorlatinib over crizotinib for the treatment of ALK-driven neuroblastoma.
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.