Evidence map›Paper›PMID 32499542›Full record

ArticleScientific reports2020

Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer.

Alexsandro Koike, Brunna Emanuella França Robles, Ana Gabriela da Silva Bonacini, Camila Cataldi de Alcantara, Edna Maria Vissoci Reiche, Isaias Dichi, Michael Maes, Rubens Cecchini, Andréa Name Colado Simão

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 2 institutions in 2 countries.

Alexsandro KoikeCancer Institute of Londrina, Laboratory of Research in Applied Immunology, University of Londrina, Londrina, Paraná, Brazil.
Brunna Emanuella França RoblesLaboratory of Research in Applied Immunology, University of Londrina, Londrina, Paraná, Brazil.
Ana Gabriela da Silva BonaciniLaboratory of Research in Applied Immunology, University of Londrina, Londrina, Paraná, Brazil.
Camila Cataldi de AlcantaraLaboratory of Research in Applied Immunology, University of Londrina, Londrina, Paraná, Brazil.ORCID http://orcid.org/0000-0002-9181-3925
Edna Maria Vissoci ReicheDepartment of Pathology, Clinical Analysis and Toxicology, Laboratory of Research in Applied Immunology, University of Londrina, Londrina, Paraná, Brazil.
Isaias DichiDepartment of Internal Medicine, University of Londrina, Londrina, Paraná, Brazil.
Michael MaesIMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Victoria, Australia.
Rubens CecchiniDepartment of Pathology Sciences, University of Londrina, Londrina, Paraná, Brazil.
Andréa Name Colado SimãoDepartment of Pathology, Clinical Analysis and Toxicology, Laboratory of Research in Applied Immunology, University of Londrina, Londrina, Paraná, Brazil. deianame@yahoo.com.br.
Universidade Estadual de Londrina · BRDeakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress (OS) is associated with the onset of prostate cancer (PCa). The aims of this study are to examine whether OS biomarkers may be employed as external validating criteria for the diagnosis PCa. This case-control study recruited 204 subjects, 73 patients with PCa, 67 patients with benign prostate hyperplasia (BPH), and 64 healthy controls (HC) and assayed plasma prostate-specific antigen (PSA), protein thiol (-SH) groups, lipid hydroperoxides, carbonyl proteins (PCB), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant parameter (TRAP). -SH groups were significantly and inversely associated with PSA levels. PCa was characterized by lowered -SH groups and red blood cell TRAP levels, and higher PSA, AOPP and PCB levels as compared with BPH and HC. Support vector machine with 10-fold cross-validation showed that PSA values together with -SH groups, PCB and AOPP yielded a cross-validation accuracy of 96.34% for the differentiation of PCa from BPH and HC. The area under the ROC curve using PSA and -SH differentiating PCa from BPH and controls was 0.945. Moreover, lowered -SH, but not PSA, are associated with PCa metastasis and progression. Inflammatory biomarkers were not associated with PCa or BPH. PCa, its progression and metastatic PCa are characterized by lowered antioxidant defenses, especially lowered thiol groups, and increased oxidative stress toxicity, suggesting that these processes play a key role in the pathophysiology of PCa. An algorithm based on -SH and PSA values may be used to differentiate patients with PCa from those with BPH and controls.

Indexed as

AdultAgedBiomarkers, TumorCase-Control StudiesDiagnosis, DifferentialHumansMaleMiddle AgedOxidative StressPrognosisProstate-Specific AntigenProstatic HyperplasiaProstatic NeoplasmsSulfhydryl CompoundsBiomarkers, TumorProstate-Specific AntigenSulfhydryl Compounds

Identifiers

PMID32499542
PMCPMC7272452
OpenAlexW3033596004

What OpenQuestion holds

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LicenceCC BY
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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.