Evidence map›Paper›PMID 29191878›Full record

ArticleScience (New York, N.Y.)2017

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 and 38 more

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 484 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
484citing papers in PubMed, 1 pooled it
36.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

484 citing papers in PubMed, 1 synthesis or guideline pooled it, 850 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
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  6. Article
  7. Article
  8. Imaging the hallmarks of cancer.Nature reviews. Cancer · 2026
    Review
  9. Article
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  12. Dilating the aging clock with light.Innovation (Cambridge (Mass.)) · 2026
    Review
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  15. Article
  16. Article
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424 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

48 authors at 9 institutions in 4 countries.

Susan KlaegerChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-0074-5163
Stephanie HeinzlmeirChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-1066-6565
Mathias WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-9224-3258
Harald PolzerGerman Cancer Consortium (DKTK), Heidelberg, Germany.
Binje VickGerman Cancer Consortium (DKTK), Heidelberg, Germany.ORCID 0000-0003-1956-2778
Paul-Albert KoenigInstitut für Klinische Chemie und Pathobiochemie, TUM, Munich, Germany.ORCID 0000-0001-5995-2557
Maria ReineckeChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Benjamin RuprechtChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Svenja PetzoldtChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Chen MengChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Jana ZechaChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Katrin ReiterGerman Cancer Consortium (DKTK), Heidelberg, Germany.ORCID 0000-0001-5793-7097
Huichao QiaoChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Dominic HelmChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0001-9321-2069
Heiner KochChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Melanie SchoofChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Giulia CanevariOncology, Nerviano Medical Sciences Srl, Milan, Italy.
Elena CasaleOncology, Nerviano Medical Sciences Srl, Milan, Italy.
Stefania Re DepaoliniOncology, Nerviano Medical Sciences Srl, Milan, Italy.
Annette FeuchtingerResearch Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany.
Zhixiang WuChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-3526-7966
Tobias SchmidtChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-1883-6514
Lars RueckertSAP SE, Potsdam, Germany.
Wilhelm BeckerSAP SE, Potsdam, Germany.ORCID 0000-0001-6989-1137
Jan HuengesSAP SE, Potsdam, Germany.
Anne-Kathrin GarzGerman Cancer Consortium (DKTK), Heidelberg, Germany.
Bjoern-Oliver GohlkeGerman Cancer Consortium (DKTK), Heidelberg, Germany.ORCID 0000-0003-3094-1031
Daniel Paul ZolgChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Gian KayserInstitute of Surgical Pathology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-0587-9742
Tonu VooderCenter of Thoracic Surgery, Krefeld, Germany.ORCID 0000-0003-2683-8744
Robert PreissnerGerman Cancer Consortium (DKTK), Heidelberg, Germany.
Hannes HahneChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Neeme TõnissonEstonian Genome Center, University of Tartu, Tartu, Estonia.ORCID 0000-0002-1715-3164
Karl KramerChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Katharina GötzeGerman Cancer Consortium (DKTK), Heidelberg, Germany.
Florian BassermannGerman Cancer Consortium (DKTK), Heidelberg, Germany.ORCID 0000-0003-4435-2609
Judith SchleglSAP SE, Walldorf, Germany.ORCID 0000-0002-3640-1901
Hans-Christian EhrlichSAP SE, Potsdam, Germany.ORCID 0000-0001-5866-5433
Stephan AicheSAP SE, Potsdam, Germany.ORCID 0000-0001-9601-8229
Axel WalchResearch Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany.
Philipp A GreifGerman Cancer Consortium (DKTK), Heidelberg, Germany.
Sabine SchneiderDepartment of Chemistry, TUM, Garching, Germany.ORCID 0000-0003-1054-8689
Eduard Rudolf FelderOncology, Nerviano Medical Sciences Srl, Milan, Italy.ORCID 0000-0002-1428-4222
Juergen RulandGerman Cancer Consortium (DKTK), Heidelberg, Germany.ORCID 0000-0002-8381-3597
Guillaume MédardChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-4782-4029
Irmela JeremiasGerman Cancer Consortium (DKTK), Heidelberg, Germany.
Karsten SpiekermannGerman Cancer Consortium (DKTK), Heidelberg, Germany.ORCID 0000-0002-5139-4957
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany. kuster@tum.de.ORCID 0000-0002-9094-1677
German Cancer Research Center · DETechnical University of Munich · DENerviano Medical Sciences · ITHelmholtz Zentrum München · DETartu University Hospital · EECenter for Integrated Protein Science Munich · DEInstitut für ökologische Wirtschaftsforschung · ATSystems, Applications & Products in Data Processing (Germany) · DEUniversity of Freiburg · DE

Funding

European Research Council 681524
6 · The paper itself

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.

Indexed as

Molecular Targeted TherapyAnimalsAntineoplastic AgentsCell Line, TumorCytokinesDrug Discoveryfms-Like Tyrosine Kinase 3HumansLeukemia, Myeloid, AcuteLung NeoplasmsMiceProtein Kinase InhibitorsProtein Serine-Threonine KinasesProteomicsXenograft Model Antitumor AssaysAntineoplastic AgentsCytokinesFLT3 protein, humanfms-Like Tyrosine Kinase 3MELK protein, humanProtein Kinase InhibitorsProtein Serine-Threonine Kinasessalt-inducible kinase-2, human

Identifiers

PMID29191878
PMCPMC6542668
OpenAlexW2773242491

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.