Evidence map›Paper›PMID 37156840›Full record

ArticleNature communications2023

Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation.

Jonathan J Swietlik, Stefanie Bärthel, Chiara Falcomatà, Diana Fink, Ankit Sinha, Jingyuan Cheng, Stefan Ebner, Peter Landgraf, Daniela C Dieterich, Henrik Daub and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  11. Proteomics in pancreatic cancer.Biomarker research · 2025
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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

12 authors at 5 institutions in 1 country.

Jonathan J Swietlik *Experimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Stefanie Bärthel *Division of Translational Cancer Research, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-5986-4864
Chiara Falcomatà *Division of Translational Cancer Research, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9269-2582
Diana FinkInstitute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, Bonn, Germany.
Ankit SinhaDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Jingyuan ChengExperimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Stefan EbnerInstitute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, Bonn, Germany.
Peter LandgrafInstitute for Pharmacology and Toxicology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
Daniela C DieterichInstitute for Pharmacology and Toxicology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
Henrik DaubNEOsphere Biotechnologies GmbH, Martinsried, Germany.
Dieter SaurDivision of Translational Cancer Research, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany. dieter.saur@tum.de.ORCID http://orcid.org/0000-0001-5874-0210
Felix MeissnerExperimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany. felix.meissner@uni-bonn.de.ORCID http://orcid.org/0000-0003-1000-7989
German Cancer Research Center · DEMax Planck Institute of Biochemistry · DEUniversity of Bonn · DECenter for Behavioral Brain Sciences · DEOtto-von-Guericke-Universität Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-selective proteomics is a powerful emerging concept to study heterocellular processes in tissues. However, its high potential to identify non-cell-autonomous disease mechanisms and biomarkers has been hindered by low proteome coverage. Here, we address this limitation and devise a comprehensive azidonorleucine labeling, click chemistry enrichment, and mass spectrometry-based proteomics and secretomics strategy to dissect aberrant signals in pancreatic ductal adenocarcinoma (PDAC). Our in-depth co-culture and in vivo analyses cover more than 10,000 cancer cell-derived proteins and reveal systematic differences between molecular PDAC subtypes. Secreted proteins, such as chemokines and EMT-promoting matrisome proteins, associated with distinct macrophage polarization and tumor stromal composition, differentiate classical and mesenchymal PDAC. Intriguingly, more than 1,600 cancer cell-derived proteins including cytokines and pre-metastatic niche formation-associated factors in mouse serum reflect tumor activity in circulation. Our findings highlight how cell-selective proteomics can accelerate the discovery of diagnostic markers and therapeutic targets in cancer.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAnimalsBiomarkers, TumorGene Expression Regulation, NeoplasticMiceProteomeProteomicsBiomarkers, TumorProteome

Identifiers

PMID37156840
PMCPMC10167354
OpenAlexW4375862051

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.