Evidence map›Paper›PMID 33364756›Full record

ArticleInternational journal of nanomedicine2020

Quality Assessment and Comparison of Plasma-Derived Extracellular Vesicles Separated by Three Commercial Kits for Prostate Cancer Diagnosis.

Bairen Pang, Ying Zhu, Jie Ni, Juanfang Ruan, James Thompson, David Malouf, Joseph Bucci, Peter Graham, Yong Li

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nanomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. 80 years of extracellular vesicles: from discovery to clinical translation.Extracellular vesicles and circulating nucleic acids · 2026
    Review
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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.

Bairen PangSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.ORCID 0000-0002-4664-7593
Ying ZhuSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.ORCID 0000-0002-8840-176X
Jie NiSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.
Juanfang RuanElectron Microscope Unit, UNSW Sydney, NSW 2052, Australia.ORCID 0000-0001-8994-5235
James ThompsonSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.
David MaloufCancer Care Centre, St. George Hospital, Sydney, NSW 2217, Australia.
Joseph BucciSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.
Peter GrahamSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.ORCID 0000-0002-4957-4895
Yong LiSt George and Sutherland Clinical School, UNSW Sydney, NSW 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCurrent standard biomarkers in clinic are not specific enough for prostate cancer (PCa) diagnosis. Extracellular vesicles (EVs) are nano-scale vesicles released by most mammalian cells. EVs are promising biomarker source for PCa liquid biopsy due to its minimal invasive approach, rich information and improved accuracy compared to the clinical standard prostate-specific antigen (PSA). However, current EV separation methods cannot separate pure EVs and the quality characteristics from these methods remain largely unknown. In this study, we evaluated the quality characteristics of human plasma-derived EVs by comparing three clinical suitable separation kits.

methodsWe combined EV separation by commercial kits with magnetic beads capture and flow cytometry analysis, and compared three kits including ExoQuick Ultra based on precipitation and qEV35 and qEV70 based on size exclusion chromatography (SEC).

resultsOur results indicated that two SEC kits provided higher EV purity and lower protein contamination compared to ExoQuick Ultra precipitation and that qEV35 demonstrated a higher EV yield but lower EV purity compared to qEV70. Particle number correlated very well particularly with CD9/81/63 positive EVs for all three kits, which confirms that particle number can be used as the estimate for EV amount. At last, we found that several EV metrics including total EVs and PSA-specific EVs could not differentiate PCa patients from health controls.

conclusionWe provided a systematic workflow for the comparison of three separation kits as well as a general analysis process in clinical laboratories for EV-based cancer diagnosis. Better EV-associated cancer biomarkers need to be explored in the future study with a larger cohort.

Indexed as

Chromatography, GelExtracellular VesiclesHumansImmunomagnetic SeparationMalePlasmaProstatic Neoplasmsextracellular vesiclesimmunomagnetic beadslipoproteinprostate cancerprotein biomarkerseparation

Identifiers

PMID33364756
PMCPMC7751609

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Registered trials

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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.