Evidence map›Paper›PMID 32686665›Full record

ArticleNature communications2020

Proteome activity landscapes of tumor cell lines determine drug responses.

Martin Frejno, Chen Meng, Benjamin Ruprecht, Thomas Oellerich, Sebastian Scheich, Karin Kleigrewe, Enken Drecoll, Patroklos Samaras, Alexander Hogrebe, Dominic Helm and 9 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 85 citations in OpenAlex.

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  14. Leveraging HILIC/ERLIC separations for online nanoscale LC-MS/MS analysis of phosphopeptide isoforms from RNA polymerase II C-terminal domain.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2025
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  20. Frontiers in pharmacology · 2024
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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

19 authors at 6 institutions in 2 countries.

Martin Frejno *Chair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-6651-1773
Chen Meng *Chair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.
Benjamin Ruprecht *Chair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0001-9807-5825
Thomas OellerichDepartment of Medicine, Hematology/Oncology, Goethe-University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.
Sebastian ScheichDepartment of Medicine, Hematology/Oncology, Goethe-University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.ORCID http://orcid.org/0000-0001-6408-3536
Karin KleigreweBavarian Center for Biomolecular Mass Spectrometry, Technical University of Munich, Gregor-Mendel-Strasse 4, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-7718-0252
Enken DrecollInstitute of Pathology, Technical University of Munich, Trogerstr. 18, 81675, Munich, Germany.
Patroklos SamarasChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0001-6042-1585
Alexander HogrebeChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-0203-6803
Dominic HelmChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0001-9321-2069
Julia MergnerChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-4332-1280
Jana ZechaChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-8767-6294
Stephanie HeinzlmeirChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-1066-6565
Mathias WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-9224-3258
Julia DornKlinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Hans-Michael KvasnickaInstitute of Pathology, Goethe University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-5450-4840
Hubert ServeDepartment of Medicine, Hematology/Oncology, Goethe-University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.
Wilko WeichertGerman Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany. kuster@tum.de.ORCID http://orcid.org/0000-0002-9094-1677
Technical University of Munich · DEGoethe University Frankfurt · DEGerman Cancer Research Center · DEMerck & Co., Inc., Rahway, NJ, USA (United States) · USNational Institutes of Health · USTUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated analysis of genomes, transcriptomes, proteomes and drug responses of cancer cell lines (CCLs) is an emerging approach to uncover molecular mechanisms of drug action. We extend this paradigm to measuring proteome activity landscapes by acquiring and integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites (p-sites) from 125 CCLs. These data are used to contextualize proteins and p-sites and predict drug sensitivity. For example, we find that Progesterone Receptor (PGR) phosphorylation is associated with sensitivity to drugs modulating estrogen signaling such as Raloxifene. We also demonstrate that Adenylate kinase isoenzyme 1 (AK1) inactivates antimetabolites like Cytarabine. Consequently, high AK1 levels correlate with poor survival of Cytarabine-treated acute myeloid leukemia patients, qualifying AK1 as a patient stratification marker and possibly as a drug target. We provide an interactive web application termed ATLANTiC (http://atlantic.proteomics.wzw.tum.de), which enables the community to explore the thousands of novel functional associations generated by this work.

Indexed as

Adenylate KinaseAnimalsAntineoplastic AgentsBreast NeoplasmsCell Line, TumorComputational BiologyComputer SimulationCytarabineDrug DevelopmentGenomicsHumansLeukemia, Myeloid, AcuteNeoplasmsProteomeProteomicsRaloxifene HydrochlorideAdenylate Kinaseadenylate kinase 1Antineoplastic AgentsCytarabineProteomeRaloxifene HydrochlorideReceptors, Progesterone

Identifiers

PMID32686665
PMCPMC7371697
OpenAlexW3042462904

What OpenQuestion 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 OpenQuestion graph.