Evidence map›Paper›PMID 28211531›Full record

ArticleScientific reports2017

Proteomic analysis of urinary extracellular vesicles from high Gleason score prostate cancer.

Kazutoshi Fujita, Hideaki Kume, Kyosuke Matsuzaki, Atsunari Kawashima, Takeshi Ujike, Akira Nagahara, Motohide Uemura, Yasushi Miyagawa, Takeshi Tomonaga, Norio Nonomura

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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

111 citing papers in PubMed, 2 syntheses or guidelines pooled it, 171 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

51 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

10 authors at 2 institutions in 1 country.

Kazutoshi FujitaDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Hideaki KumeLaboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Kyosuke MatsuzakiDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Atsunari KawashimaDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Takeshi UjikeDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Akira NagaharaDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Motohide UemuraDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Yasushi MiyagawaDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Takeshi TomonagaLaboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Norio NonomuraDepartment of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.
Osaka University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are microvesicles secreted from various cell types. We aimed to discover a new biomarker for high Gleason score (GS) prostate cancer (PCa) in urinary EVs via quantitative proteomics. EVs were isolated from urine after massage from 18 men (negative biopsy [n = 6], GS 6 PCa [n = 6], or GS 8-9 PCa [n = 6]). EV proteins were labeled with iTRAQ and analyzed by LC-MS/MS. We identified 4710 proteins and quantified 3528 proteins in the urinary EVs. Eleven proteins increased in patients with PCa compared to those with negative biopsy (ratio >1.5, p-value < 0.05). Eleven proteins were chosen for further analysis and verified in 29 independent urine samples (negative [n = 11], PCa [n = 18]) using selected reaction monitoring/multiple reaction monitoring. Among these candidate markers, fatty acid binding protein 5 (FABP5) was higher in the cancer group than in the negative group (p-value = 0.009) and was significantly associated with GS (p-value for trend = 0.011). Granulin, AMBP, CHMP4A, and CHMP4C were also higher in men with high GS prostate cancer (p-value < 0.05). FABP5 in urinary EVs could be a potential biomarker of high GS PCa.

Indexed as

ProteomicsAgedArea Under CurveBiomarkers, TumorChromatography, High Pressure LiquidExtracellular VesiclesFatty Acid-Binding ProteinsHumansLogistic ModelsMaleMiddle AgedNeoplasm GradingProstatic NeoplasmsProteomeROC CurveTandem Mass SpectrometryBiomarkers, TumorFABP5 protein, humanFatty Acid-Binding ProteinsProteome

Identifiers

PMID28211531
PMCPMC5314323
OpenAlexW2588583929

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.