Evidence map›Paper›PMID 27910903›Full record

Trial reportScientific reports2016

Prostate Cancer Patients-Negative Biopsy Controls Discrimination by Untargeted Metabolomics Analysis of Urine by LC-QTOF: Upstream Information on Other Omics.

M A Fernández-Peralbo, E Gómez-Gómez, M Calderón-Santiago, J Carrasco-Valiente, J Ruiz-García, M J Requena-Tapia, M D Luque de Castro, F Priego-Capote

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

M A Fernández-PeralboDepartment of Analytical Chemistry, Annex Marie Curie Building, Campus of Rabanales, University of Córdoba, E-14071, Córdoba, Spain.
E Gómez-GómezInstitute of Biomedical Research Maimónides (IMIBIC), Reina Sofía University Hospital, University of Córdoba, E-14004, Córdoba, Spain.
M Calderón-SantiagoDepartment of Analytical Chemistry, Annex Marie Curie Building, Campus of Rabanales, University of Córdoba, E-14071, Córdoba, Spain.
J Carrasco-ValienteInstitute of Biomedical Research Maimónides (IMIBIC), Reina Sofía University Hospital, University of Córdoba, E-14004, Córdoba, Spain.
J Ruiz-GarcíaInstitute of Biomedical Research Maimónides (IMIBIC), Reina Sofía University Hospital, University of Córdoba, E-14004, Córdoba, Spain.
M J Requena-TapiaInstitute of Biomedical Research Maimónides (IMIBIC), Reina Sofía University Hospital, University of Córdoba, E-14004, Córdoba, Spain.
M D Luque de CastroDepartment of Analytical Chemistry, Annex Marie Curie Building, Campus of Rabanales, University of Córdoba, E-14071, Córdoba, Spain.
F Priego-CapoteDepartment of Analytical Chemistry, Annex Marie Curie Building, Campus of Rabanales, University of Córdoba, E-14071, Córdoba, Spain.
University of Córdoba · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existing clinical biomarkers for prostate cancer (PCa) diagnosis are far from ideal (e.g., the prostate specific antigen (PSA) serum level suffers from lack of specificity, providing frequent false positives leading to over-diagnosis). A key step in the search for minimum invasive tests to complement or replace PSA should be supported on the changes experienced by the biochemical pathways in PCa patients as compared to negative biopsy control individuals. In this research a comprehensive global analysis by LC-QTOF was applied to urine from 62 patients with a clinically significant PCa and 42 healthy individuals, both groups confirmed by biopsy. An unpaired t-test (p-value < 0.05) provided 28 significant metabolites tentatively identified in urine, used to develop a partial least squares discriminant analysis (PLS-DA) model characterized by 88.4 and 92.9% of sensitivity and specificity, respectively. Among the 28 significant metabolites 27 were present at lower concentrations in PCa patients than in control individuals, while only one reported higher concentrations in PCa patients. The connection among the biochemical pathways in which they are involved (DNA methylation, epigenetic marks on histones and RNA cap methylation) could explain the concentration changes with PCa and supports, once again, the role of metabolomics in upstream processes.

Indexed as

AgedAged, 80 and overBiomarkers, TumorBiopsyHumansKallikreinsMaleMetabolomicsMiddle AgedProstate-Specific AntigenProstatic NeoplasmsBiomarkers, TumorKallikreinsKLK3 protein, humanProstate-Specific Antigen

Identifiers

PMID27910903
PMCPMC5133625
OpenAlexW2559352687

What OpenQuestion holds

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LicenceCC BY
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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.