Evidence map›Paper›PMID 32495062›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2020

New findings on urinary prostate cancer metabolome through combined GC-MS and

Ana Rita Lima, Joana Pinto, Daniela Barros-Silva, Carmen Jerónimo, Rui Henrique, Maria de Lourdes Bastos, Márcia Carvalho, Paula Guedes Pinho

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Article in Metabolomics : Official journal of the Metabolomic Society, 2020. 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
–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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Paclitaxel resistance-associated metabolic events in ovarian cancer cells.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  5. Article
  6. Review
  7. Heliyon · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Potential of nuclear magnetic resonance metabolomics in the study of prostate cancer.Indian journal of urology : IJU : journal of the Urological Society of India
    Review
  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

8 authors.

Ana Rita LimaUCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal. ritacmlima@hotmail.com.ORCID 0000-0003-1439-770X
Joana PintoUCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal.ORCID 0000-0001-9719-8364
Daniela Barros-SilvaCancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.ORCID 0000-0001-6746-6807
Carmen JerónimoCancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.ORCID 0000-0003-4186-5345
Rui HenriqueCancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.ORCID 0000-0003-3171-4666
Maria de Lourdes BastosUCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal.ORCID 0000-0001-9895-503X
Márcia CarvalhoUCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal. mcarv@ufp.edu.pt.ORCID 0000-0001-9884-4751
Paula Guedes PinhoUCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal. pguedes@ff.up.pt.ORCID 0000-0002-7395-5700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe inherent sensitivity of metabolomics allows the detection of subtle alterations in biological pathways, making it a powerful tool to study biomarkers and the mechanisms that underlie cancer.

objectivesThe purpose of this work was to characterize the urinary metabolic profile of prostate cancer (PCa) patients and cancer-free controls to obtain a holistic coverage of PCa metabolome.

methodsTwo groups of samples, a training set (n = 41 PCa and n = 42 controls) and an external validation set (n = 18 PCa and n = 18 controls) were analyzed using a dual analytical platform, namely gas chromatography-mass spectrometry (GC-MS) and proton nuclear magnetic resonance spectroscopy (

resultsThe multivariate analysis models revealed a good discrimination between cases and controls with an AUC higher than 0.8, a sensitivity ranging from 67 to 89%, a specificity ranging from 74 to 89% and an accuracy from 73 to 86%, considering the training and external validation sets. A total of 28 metabolites (15 from GC-MS and 13 from

conclusionThese findings confirmed the complementary information provided by GC-MS and

Indexed as

BiomarkersGas Chromatography-Mass SpectrometryHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMetabolic Networks and PathwaysMetabolomeMetabolomicsProstatic NeoplasmsProton Magnetic Resonance SpectroscopyUrinalysisBiomarkersBiomarkersGas chromatography–mass spectrometryMetabolomeProstate cancerProton nuclear magnetic resonance spectroscopyUrine

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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.