1. Academic Validation
  2. Illuminating phenotypic drug responses of sarcoma cells to kinase inhibitors by phosphoproteomics

Illuminating phenotypic drug responses of sarcoma cells to kinase inhibitors by phosphoproteomics

  • Mol Syst Biol. 2024 Jan;20(1):28-55. doi: 10.1038/s44320-023-00004-7.
Chien-Yun Lee 1 Matthew The 1 Chen Meng 2 Florian P Bayer 1 Kerstin Putzker 3 Julian Müller 1 Johanna Streubel 1 Julia Woortman 1 Amirhossein Sakhteman 1 Moritz Resch 1 Annika Schneider 1 Stephanie Wilhelm 1 Bernhard Kuster 4 5 6
Affiliations

Affiliations

  • 1 Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • 2 Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich, Freising, Germany.
  • 3 Chemical Biology Core Facility, EMBL Heidelberg, Heidelberg, Germany.
  • 4 Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. [email protected].
  • 5 Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich, Freising, Germany. [email protected].
  • 6 German Cancer Consortium (DKTK), partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany. [email protected].
Abstract

Kinase inhibitors (KIs) are important Cancer drugs but often feature polypharmacology that is molecularly not understood. This disconnect is particularly apparent in Cancer entities such as sarcomas for which the oncogenic drivers are often not clear. To investigate more systematically how the cellular proteotypes of sarcoma cells shape their response to molecularly targeted drugs, we profiled the proteomes and phosphoproteomes of 17 sarcoma cell lines and screened the same against 150 Cancer drugs. The resulting 2550 phenotypic profiles revealed distinct drug responses and the cellular activity landscapes derived from deep (phospho)proteomes (9-10,000 proteins and 10-27,000 phosphorylation sites per cell line) enabled several lines of analysis. For instance, connecting the (phospho)proteomic data with drug responses revealed known and novel mechanisms of action (MoAs) of KIs and identified markers of drug sensitivity or resistance. All data is publicly accessible via an interactive web application that enables exploration of this rich molecular resource for a better understanding of active signalling pathways in sarcoma cells, identifying treatment response predictors and revealing novel MoA of clinical KIs.

Keywords

Drug Response; Kinase Inhibitor; Phosphoproteomics; Proteomics; Sarcoma.

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