Evidence map›Paper›PMID 37371512›Full record

ArticleBiomolecules2023

Protein Biomarker Discovery Studies on Urinary sEV Fractions Separated with UF-SEC for the First Diagnosis and Detection of Recurrence in Bladder Cancer Patients.

Stephanie Jordaens, Eline Oeyen, Hanny Willems, Filip Ameye, Stefan De Wachter, Patrick Pauwels, Inge Mertens

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Advances in Research onInternational journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
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

7 authors at 4 institutions in 1 country.

Stephanie JordaensCenter for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, 2610 Wilrijk, Belgium.ORCID 0000-0001-6730-367X
Eline OeyenHealth Unit, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium.
Hanny WillemsHealth Unit, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium.
Filip AmeyeDepartment of Urology, AZ Maria Middelares, 9000 Ghent, Belgium.
Stefan De WachterDepartment of Urology, Antwerp University Hospital (UZA), 2650 Edegem, Belgium.
Patrick PauwelsCenter for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, 2610 Wilrijk, Belgium.
Inge MertensHealth Unit, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium.ORCID 0000-0002-4888-3485
University of Antwerp · BEAntwerp University Hospital · BEAZ Maria Middelares · BEFlemish Institute for Technological Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary extracellular vesicles (EVs) are an attractive source of bladder cancer biomarkers. Here, a protein biomarker discovery study was performed on the protein content of small urinary EVs (sEVs) to identify possible biomarkers for the primary diagnosis and recurrence of non-muscle-invasive bladder cancer (NMIBC). The sEVs were isolated by ultrafiltration (UF) in combination with size-exclusion chromatography (SEC). The first part of the study compared healthy individuals with NMIBC patients with a primary diagnosis. The second part compared tumor-free patients with patients with a recurrent NMIBC diagnosis. The separated sEVs were in the size range of 40 to 200 nm. Based on manually curated high quality mass spectrometry (MS) data, the statistical analysis revealed 69 proteins that were differentially expressed in these sEV fractions of patients with a first bladder cancer tumor vs. an age- and gender-matched healthy control group. When the discriminating power between healthy individuals and first diagnosis patients is taken into account, the biomarkers with the most potential are MASP2, C3, A2M, CHMP2A and NHE-RF1. Additionally, two proteins (HBB and HBA1) were differentially expressed between bladder cancer patients with a recurrent diagnosis vs. tumor-free samples of bladder cancer patients, but their biological relevance is very limited.

Indexed as

UltrafiltrationUrinary Bladder NeoplasmsBiomarkers, TumorChromatography, GelHumansUrinary BladderBiomarkers, Tumorbiomarkerextracellular vesiclesliquid biopsynon-muscle-invasive bladder cancer (NMIBC)oncologyproteomicsurine

Identifiers

PMID37371512
PMCPMC10296596
OpenAlexW4379143634

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.