Evidence map›Paper›PMID 28396511›Full record

ArticleMolecular & cellular proteomics : MCP2017

Database-augmented Mass Spectrometry Analysis of Exosomes Identifies Claudin 3 as a Putative Prostate Cancer Biomarker.

Thomas Stefan Worst, Jost von Hardenberg, Julia Christina Gross, Philipp Erben, Martina Schnölzer, Ingrid Hausser, Peter Bugert, Maurice Stephan Michel, Michael Boutros

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  8. Article
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  10. Article
  11. Recent developments in biosensing methods for extracellular vesicle protein characterization.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023
    Review
  12. Review
  13. Review
  14. Roles of Non-Coding RNAs in Primary Biliary Cholangitis.Frontiers in molecular biosciences · 2022
    Review
  15. Review
  16. Article
  17. Extracellular vesicles in prostate cancer: a narrative review.Translational andrology and urology · 2021
    Review
  18. Inter-Laboratory Comparison of Extracellular Vesicle Isolation Based on Ultracentrifugation.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2021
    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

9 authors at 5 institutions in 1 country.

Thomas Stefan WorstFrom the ‡Department of Urology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; thomas.worst@medma.uni-heidelberg.de.ORCID 0000-0001-5429-126X
Jost von HardenbergFrom the ‡Department of Urology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Julia Christina Gross§Department of Signaling and Functional Genomics, German Cancer Research Center, Heidelberg, Germany.
Philipp ErbenFrom the ‡Department of Urology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Martina Schnölzer‖Genomics and Proteomics Core Facility, German Cancer Research Center, Heidelberg, Germany.
Ingrid Hausser**Institute of Pathology IPH, University Clinic Heidelberg and Electron Microscopy Core Facility, University of Heidelberg, Germany.
Peter Bugert‡‡Institute of Transfusion Medicine and Immunology, Heidelberg University, Medical Faculty Mannheim, German Red Cross Blood Service Baden-Württemberg-Hessen, Mannheim, Germany.
Maurice Stephan MichelFrom the ‡Department of Urology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Michael Boutros§Department of Signaling and Functional Genomics, German Cancer Research Center, Heidelberg, Germany.
Heidelberg University · DEGerman Cancer Research Center · DEUniversity Hospital Heidelberg · DEGerman Red Cross · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In prostate cancer and other malignancies sensitive and robust biomarkers are lacking or have relevant limitations. Prostate specific antigen (PSA), the only biomarker widely used in prostate cancer, is suffering from low specificity. Exosomes offer new perspectives in the discovery of blood-based biomarkers. Here we present a proof-of principle study for a proteomics-based identification pipeline, implementing existing data sources, to exemplarily identify exosome-based biomarker candidates in prostate cancer.Exosomes from malignant PC3 and benign PNT1A cells and from FBS-containing medium were isolated using sequential ultracentrifugation. Exosome and control samples were analyzed on an LTQ-Orbitrap XL mass spectrometer. Proteomic data is available via ProteomeXchange with identifier PXD003651. We developed a scoring scheme to rank 64 proteins exclusively found in PC3 exosomes, integrating data from four public databases and published mass spectrometry data sets. Among the top candidates, we focused on the tight junction protein claudin 3. Retests under serum-free conditions using immunoblotting and immunogold labeling confirmed the presence of claudin 3 on PC3 exosomes. Claudin 3 levels were determined in the blood plasma of patients with localized (

Indexed as

AgedBiomarkers, TumorCell Line, TumorClaudin-3Databases, FactualExosomesHumansMaleMass SpectrometryMiddle AgedNeoplasm GradingProstatic HyperplasiaProstatic NeoplasmsBiomarkers, TumorClaudin-3CLDN3 protein, human

Identifiers

PMID28396511
PMCPMC5461549
OpenAlexW2606259722

What OpenQuestion holds

Textmetadata
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.