The target landscape of clinical kinase drugs

Susan Klaeger(German Cancer Research Center), Stephanie Heinzlmeir(German Cancer Research Center), Mathias Wilhelm(Technical University of Munich), Harald Polzer(German Cancer Research Center), Binje Vick(German Cancer Research Center), Paul-Albert Koenig(Institut für ökologische Wirtschaftsforschung), Maria Reinecke(German Cancer Research Center), Benjamin Ruprecht(Technical University of Munich), Svenja Wiechmann(German Cancer Research Center), Chen Meng(Technical University of Munich), Jana Zecha(German Cancer Research Center), Katrin Reiter(German Cancer Research Center), Huichao Qiao(Technical University of Munich), Dominic Helm(Technical University of Munich), Heiner Koch(German Cancer Research Center), Melanie Schoof(Technical University of Munich), Giulia Canevari(Nerviano Medical Sciences), Elena Casale(Nerviano Medical Sciences), Stefania Re Depaolini(Nerviano Medical Sciences), Annette Feuchtinger(Helmholtz Zentrum München), Zhixiang Wu(Technical University of Munich), Tobias Schmidt(Technical University of Munich), Lars Rueckert, Wilhelm Becker, Jan Huenges, Anne-Kathrin Garz(German Cancer Research Center), Björn-Oliver Gohlke(German Cancer Research Center), Daniel P. Zolg(Technical University of Munich), Gian Kayser(University of Freiburg), Tõnu Vooder(Tartu University Hospital), Robert Preißner(German Cancer Research Center), Hannes Hahne(Technical University of Munich), Neeme Tõnisson(Tartu University Hospital), Karl Kramer(Technical University of Munich), Katharina S. Götze(German Cancer Research Center), Florian Bassermann(German Cancer Research Center), Judith Schlegl(Systems, Applications & Products in Data Processing (Germany)), Hans‐Christian Ehrlich, Stephan Aiche, Axel Walch(Helmholtz Zentrum München), Philipp A. Greif(German Cancer Research Center), Sabine Schneider(Center for Integrated Protein Science Munich), Eduard Felder(Nerviano Medical Sciences), Jürgen Ruland(German Cancer Research Center), Guillaume Médard(Technical University of Munich), Irmela Jeremias(German Cancer Research Center), Karsten Spiekermann(German Cancer Research Center), Bernhard Küster(German Cancer Research Center)
Science
November 30, 2017
Cited by 865Open Access
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Abstract

Kinase inhibitors are important cancer therapeutics. Polypharmacology is commonly observed, requiring thorough target deconvolution to understand drug mechanism of action. Using chemical proteomics, we analyzed the target spectrum of 243 clinically evaluated kinase drugs. The data revealed previously unknown targets for established drugs, offered a perspective on the "druggable" kinome, highlighted (non)kinase off-targets, and suggested potential therapeutic applications. Integration of phosphoproteomic data refined drug-affected pathways, identified response markers, and strengthened rationale for combination treatments. We exemplify translational value by discovering SIK2 (salt-inducible kinase 2) inhibitors that modulate cytokine production in primary cells, by identifying drugs against the lung cancer survival marker MELK (maternal embryonic leucine zipper kinase), and by repurposing cabozantinib to treat FLT3-ITD-positive acute myeloid leukemia. This resource, available via the ProteomicsDB database, should facilitate basic, clinical, and drug discovery research and aid clinical decision-making.


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