Evidence map›Paper›PMID 36605581›Full record

ArticleJournal of pharmaceutical analysis2022

Metabolomic and elemental profiling of blood serum in bladder cancer.

Krzysztof Ossoliński, Tomasz Ruman, Valérie Copié, Brian P Tripet, Leonardo B Nogueira, Katiane O P C Nogueira, Artur Kołodziej, Aneta Płaza-Altamer, Anna Ossolińska, Tadeusz Ossoliński and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 56 citations in OpenAlex.

  1. Liquid biopsy in bladder cancer: towards precision oncology.Journal of translational medicine · 2026
    Review
  2. Article
  3. Article
  4. Broadband Collision-Induced Dissociation Mass Spectrometry Imaging.Journal of the American Society for Mass Spectrometry · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Advances in Liquid Biopsy for Diagnosis of Bladder Cancer.International neurourology journal · 2024
    Article
  10. Article
  11. Review
  12. Metabolomic profiling of human bladder tissue extracts.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
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 3 countries.

Krzysztof OssolińskiDepartment of Urology, John Paul II Hospital, 36-100, Kolbuszowa, Poland.
Tomasz RumanRzeszów University of Technology, Faculty of Chemistry, 35-959, Rzeszów, Poland.
Valérie CopiéThe Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA.
Brian P TripetThe Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA.
Leonardo B NogueiraDepartment of Geology, Federal University of Ouro Preto, 35400-000, Ouro Preto, Brazil.
Katiane O P C NogueiraDepartment of Biological Sciences, Federal University of Ouro Preto, 35400-000, Ouro Preto, Brazil.
Artur KołodziejDoctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, 35-959, Rzeszów, Poland.
Aneta Płaza-AltamerDoctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, 35-959, Rzeszów, Poland.
Anna OssolińskaDepartment of Urology, John Paul II Hospital, 36-100, Kolbuszowa, Poland.
Tadeusz OssolińskiDepartment of Urology, John Paul II Hospital, 36-100, Kolbuszowa, Poland.
Joanna NiziołRzeszów University of Technology, Faculty of Chemistry, 35-959, Rzeszów, Poland.
Rzeszów University of Technology · PLJohn Paul II Hospital · PLMontana State University · USUniversidade Federal de Ouro Preto · BR

Funding

Acquisition of a 600 MHz NMR cryoprobe and 600 MHz spectrometer console upgradeS10RR026659 · NCRR · MONTANA STATE UNIVERSITY - BOZEMAN · PI COPIE, VALERIE · 2011 to 2011
$600k
NCRR NIH HHS S10 RR026659
6 · The paper itself

Abstract

Bladder cancer (BC) is one of the most frequently diagnosed types of urinary cancer. Despite advances in treatment methods, no specific biomarkers are currently in use. Targeted and untargeted profiling of metabolites and elements of human blood serum from 100 BC patients and the same number of normal controls (NCs), with external validation, was attempted using three analytical methods, i.e., nuclear magnetic resonance, gold and silver-109 nanoparticle-based laser desorption/ionization mass spectrometry (LDI-MS), and inductively coupled plasma optical emission spectrometry (ICP-OES). All results were subjected to multivariate statistical analysis. Four potential serum biomarkers of BC, namely, isobutyrate, pyroglutamate, choline, and acetate, were quantified with proton nuclear magnetic resonance, which had excellent predictive ability as judged by the area under the curve (AUC) value of 0.999. Two elements, Li and Fe, were also found to distinguish between cancer and control samples, as judged from ICP-OES data and AUC of 0.807 (in validation set). Twenty-five putatively identified compounds, mostly related to glycans and lipids, differentiated BC from NCs, as detected using LDI-MS. Five serum metabolites were found to discriminate between tumor grades and nine metabolites between tumor stages. The results from three different analytical platforms demonstrate that the identified distinct serum metabolites and metal elements have potential to be used for noninvasive detection, staging, and grading of BC.

Indexed as

BiomarkersBladder cancerHuman serumMetabolomicsMetallomics

Identifiers

PMID36605581
PMCPMC9805945
OpenAlexW4294192411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.