Evidence map›Paper›PMID 27363484›Full record

ArticleJournal of extracellular vesicles2016

Proteomics analysis of vesicles isolated from plasma and urine of prostate cancer patients using a multiplex, aptamer-based protein array.

Joanne Louise Welton, Paul Brennan, Mark Gurney, Jason Paul Webber, Lisa Kate Spary, David Gil Carton, Juan Manuel Falcón-Pérez, Sean Peter Walton, Malcolm David Mason, Zsuzsanna Tabi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

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  18. Extracellular vesicles in urological malignancies.Biochimica et biophysica acta. Reviews on cancer · 2021
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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

11 authors at 4 institutions in 2 countries.

Joanne Louise WeltonDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Paul BrennanDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Mark GurneyDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Jason Paul WebberDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Lisa Kate SparyDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
David Gil CartonMetabolomics Unit, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio, Spain.
Juan Manuel Falcón-PérezMetabolomics Unit, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio, Spain.
Sean Peter WaltonDepartment of Computer Science, College of Science, Swansea University, United Kingdom.
Malcolm David MasonDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Zsuzsanna TabiDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Aled ClaytonDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Velindre Cancer Centre · GBCardiff University · GBCIC bioGUNE · ESSwansea University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomics analysis of biofluid-derived vesicles holds enormous potential for discovering non-invasive disease markers. Obtaining vesicles of sufficient quality and quantity for profiling studies has, however, been a major problem, as samples are often replete with co-isolated material that can interfere with the identification of genuine low abundance, vesicle components. Here, we used a combination of ultracentrifugation and size-exclusion chromatography to isolate and analyse vesicles of plasma or urine origin. We describe a sample-handling workflow that gives reproducible, quality vesicle isolations sufficient for subsequent protein profiling. Using a semi-quantitative aptamer-based protein array, we identified around 1,000 proteins, of which almost 400 were present at comparable quantities in plasma versus urine vesicles. Significant differences were, however, apparent with elements like HSP90, integrin αVβ5 and Contactin-1 more prevalent in urinary vesicles, while hepatocyte growth factor activator, prostate-specific antigen-antichymotrypsin complex and many others were more abundant in plasma vesicles. This was also applied to a small set of specimens collected from men with metastatic prostate cancer, highlighting several proteins with the potential to indicate treatment refractory disease. The study provides a practical platform for furthering protein profiling of vesicles in prostate cancer, and, hopefully, many other disease scenarios.

Indexed as

plasmaprotein arrayproteomicsurine prostate

Identifiers

PMID27363484
PMCPMC4929354
OpenAlexW2472591216

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.