Evidence map›Paper›PMID 38177929›Full record

ArticleMolecular systems biology2024

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

Chien-Yun Lee, Matthew The, Chen Meng, Florian P Bayer, Kerstin Putzker, Julian Müller, Johanna Streubel, Julia Woortman, Amirhossein Sakhteman, Moritz Resch and 3 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Chien-Yun LeeChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0001-7697-6374
Matthew TheChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-5401-5553
Chen MengBavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-5968-6719
Florian P BayerChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Kerstin PutzkerChemical Biology Core Facility, EMBL Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-8375-5908
Julian MüllerChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0003-4108-7926
Johanna StreubelChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Julia WoortmanChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0003-4189-3434
Amirhossein SakhtemanChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Moritz ReschChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Annika SchneiderChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-7684-7801
Stephanie WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-1066-6565
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. kuster@tum.de.ORCID http://orcid.org/0000-0002-9094-1677

Funding

Bundesministerium für Bildung und Forschung (BMBF) FKZ 031L0168Bundesministerium für Bildung und Forschung (BMBF) FKZ161L0214ABundesministerium für Bildung und Forschung (BMBF) FKZ161L0215EC | ERC | HORIZON EUROPE European Research Council (ERC) 833710,834154Ministry of Science and Technology, Taiwan (MOST) 108-2917-I-564-034
6 · The paper itself

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.

Indexed as

Antineoplastic AgentsSarcomaCell Line, TumorHumansProtein Kinase InhibitorsProteomeProteomicsAntineoplastic AgentsProtein Kinase InhibitorsProteomeDrug Response; Kinase Inhibitor; Phosphoproteomics; Proteomics; Sarcoma

Identifiers

PMID38177929
PMCPMC10883282

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.