Evidence map›Paper›PMID 32284825›Full record

ArticleJournal of extracellular vesicles2020

Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine.

Bert Dhondt, Edward Geeurickx, Joeri Tulkens, Jan Van Deun, Glenn Vergauwen, Lien Lippens, Ilkka Miinalainen, Pekka Rappu, Jyrki Heino, Piet Ost and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 153 citations in OpenAlex.

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  6. Sequential-RSC pharmaceutics · 2026
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41 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Bert DhondtLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.ORCID 0000-0001-7223-7670
Edward GeeurickxLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.
Joeri TulkensLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.
Jan Van DeunLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.ORCID 0000-0003-1707-6266
Glenn VergauwenLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.
Lien LippensLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.
Ilkka MiinalainenBiocenter Oulu, Department of Pathology, Oulu University Hospital, University of Oulu, Oulu, Finland.
Pekka RappuDepartment of Biochemistry, University of Turku, Turku, Finland.
Jyrki HeinoDepartment of Biochemistry, University of Turku, Turku, Finland.
Piet OstCancer Research Institute Ghent, Ghent, Belgium.
Nicolaas LumenCancer Research Institute Ghent, Ghent, Belgium.
Olivier De WeverLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.
An HendrixLaboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium.ORCID 0000-0002-1883-8309
Ghent University · BEGhent University Hospital · BEUniversity of Turku · FIOulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EV) are increasingly being recognized as important vehicles of intercellular communication and promising diagnostic and prognostic biomarkers in cancer. Despite this enormous clinical potential, the plethora of methods to separate EV from biofluids, providing material of highly variable purity, and lacking knowledge regarding methodological repeatability pose a barrier to clinical translation. Urine is considered an ideal proximal fluid for the study of EV in urological cancers due to its direct contact with the urogenital system. We demonstrate that density-based fractionation of urine by bottom-up Optiprep density gradient centrifugation separates EV and soluble proteins with high specificity and repeatability. Mass spectrometry-based proteomic analysis of urinary EV (uEV) in men with benign and malignant prostate disease allowed us to significantly expand the known human uEV proteome with high specificity and identifies a unique biological profile in prostate cancer not uncovered by the analysis of soluble proteins. In addition, profiling the proteome of EV separated from prostate tumour conditioned medium and matched uEV confirms the specificity of the identified uEV proteome for prostate cancer. Finally, a comparative proteomic analysis with uEV from patients with bladder and renal cancer provided additional evidence of the selective enrichment of protein signatures in uEV reflecting their respective cancer tissues of origin. In conclusion, this study identifies hundreds of previously undetected proteins in uEV of prostate cancer patients and provides a powerful toolbox to map uEV content and contaminants ultimately allowing biomarker discovery in urological cancers.

Indexed as

biomarkerscancerexosomesExtracellular vesiclesisolationproteomicsseparationurine

Identifiers

PMID32284825
PMCPMC7144211
OpenAlexW3012014629

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.