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The target landscape of clinical kinase drugs

  • Susan Klaeger
  • , Stephanie Heinzlmeir
  • , Mathias Wilhelm
  • , Harald Polzer
  • , Binje Vick
  • , Paul Albert Koenig
  • , Maria Reinecke
  • , Benjamin Ruprecht
  • , Svenja Petzoldt
  • , Chen Meng
  • , Jana Zecha
  • , Katrin Reiter
  • , Huichao Qiao
  • , Dominic Helm
  • , Heiner Koch
  • , Melanie Schoof
  • , Giulia Canevari
  • , Elena Casale
  • , Stefania Re Depaolini
  • , Annette Feuchtinger
  • Zhixiang Wu, Tobias Schmidt, Lars Rueckert, Wilhelm Becker, Jan Huenges, Anne Kathrin Garz, Bjoern Oliver Gohlke, Daniel Paul Zolg, Gian Kayser, Tonu Vooder, Robert Preissner, Hannes Hahne, Neeme Tõnisson, Karl Kramer, Katharina Götze, Florian Bassermann, Judith Schlegl, Hans Christian Ehrlich, Stephan Aiche, Axel Walch, Philipp A. Greif, Sabine Schneider, Eduard Rudolf Felder, Juergen Ruland, Guillaume Médard, Irmela Jeremias, Karsten Spiekermann, Bernhard Kuster
  • Technical University of Munich
  • German Cancer Research Center
  • Ludwig-Maximilians-Universität München
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Nerviano Medical Sciences Srl
  • Charité – Universitätsmedizin Berlin
  • Albert-Ludwigs-Universität Freiburg
  • Center of Thoracic Surgery
  • University of Tartu
  • Tartu University Hospital
  • SAP CEC Karlsruhe
  • Center for Integrated Protein Science

Research output: Contribution to journalArticlepeer-review

677 Scopus citations

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.

Original languageEnglish
Article numbereaan4368
JournalScience
Volume358
Issue number6367
DOIs
StatePublished - 1 Dec 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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