Evidence map›Paper›PMID 31500625›Full record

ArticleJournal of translational medicine2019

Biofluid quantification of TWEAK/Fn14 axis in combination with a selected biomarker panel improves assessment of prostate cancer aggressiveness.

Xavier Ruiz-Plazas, Esther Rodríguez-Gallego, Marta Alves, Antonio Altuna-Coy, Javier Lozano-Bartolomé, Manel Portero-Otin, Joan Francesc García-Fontgivell, Salomé Martínez-González, José Segarra, Matilde R Chacón

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2019. 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
0.7field-weighted citation impact, top 31% 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, 10 citations in OpenAlex.

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  6. Could Kallikrein-Related Serine Peptidase 3 Be an Early Biomarker of Environmental Exposure in Young Women?International journal of environmental research and public health · 2021
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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

10 authors at 3 institutions in 1 country.

Xavier Ruiz-PlazasDisease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira i Virgili, University Hospital of Tarragona Joan XXIII, C/Dr. Mallafré Guasch, 4, 43007, Tarragona, Spain.
Esther Rodríguez-GallegoInfectious Diseases and HIV/AIDS Unit, Department of Internal Medicine, Joan XXIII University Hospital, Universitat Rovira i Virgili, Tarragona, Spain.
Marta AlvesUrology Unit, Joan XXIII University Hospital, Tarragona, Spain.
Antonio Altuna-CoyDisease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira i Virgili, University Hospital of Tarragona Joan XXIII, C/Dr. Mallafré Guasch, 4, 43007, Tarragona, Spain.
Javier Lozano-BartoloméDisease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira i Virgili, University Hospital of Tarragona Joan XXIII, C/Dr. Mallafré Guasch, 4, 43007, Tarragona, Spain.
Manel Portero-OtinDepartment of Experimental Medicine, Universitat de Lleida-IRBLleida, Lleida, Spain.
Joan Francesc García-FontgivellPathology Unit, Joan XXIII University Hospital, Tarragona, Spain.
Salomé Martínez-GonzálezPathology Unit, Joan XXIII University Hospital, Tarragona, Spain.
José SegarraDisease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira i Virgili, University Hospital of Tarragona Joan XXIII, C/Dr. Mallafré Guasch, 4, 43007, Tarragona, Spain. jsegarratomas@yahoo.es.
Matilde R ChacónDisease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira i Virgili, University Hospital of Tarragona Joan XXIII, C/Dr. Mallafré Guasch, 4, 43007, Tarragona, Spain. mrch2424@gmail.com.ORCID 0000-0003-1531-2165
Hospital Universitari Joan XXIII de Tarragona · ESInstitut de Recerca Biomèdica Catalunya Sud · ESUniversitat de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional clinical biomarkers cannot accurately differentiate indolent from aggressive prostate cancer (PCa). We investigated the usefulness of a biomarker panel measured exclusively in biofluids for assessment of PCa aggressiveness.

methodsWe collected biofluid samples (plasma/serum/semen/post-prostatic massage urine) from 98 patients that had undergone radical prostatectomy. Clinical biochemistry was performed and several cytokines/chemokines including soluble(s) TWEAK, sFn14, sCD163, sCXCL5 and sCCL7 were quantified by ELISA in selected biofluids. Also, the expression of KLK2, KLK3, Fn14, CD163, CXCR2 and CCR3 was quantified by real-time PCR in semen cell sediment. Univariate, logistic regression, and receiver operating characteristic (ROC) analyses were used to assess the predictive ability of the selected biomarker panel in conjunction with clinical and metabolic variables for the evaluation of PCa aggressiveness.

resultsTotal serum levels of prostate-specific antigen (PSA), semen levels of sTWEAK, fasting glycemia and mRNA levels of Fn14, KLK2, CXCR2 and CCR3 in semen cell sediment constituted a panel of markers that was significantly different between patients with less aggressive tumors [International Society of Urological Pathology (ISUP) grade I and II] and those with more aggressive tumors (ISUP grade III, IV and V). ROC curve analysis showed that this panel could be used to correctly classify tumor aggressiveness in 90.9% of patients. Area under the curve (AUC) analysis revealed that this combination was more accurate [AUC = 0.913 95% confidence interval (CI) 0.782-1] than a classical non-invasive selected clinical panel comprising age, tumor clinical stage (T-classification) and total serum PSA (AUC = 0.721 95% CI 0.613-0.830).

conclusionsTWEAK/Fn14 axis in combination with a selected non-invasive biomarker panel, including conventional clinical biochemistry, can improve the predictive power of serum PSA levels and could be used to classify PCa aggressiveness.

Indexed as

Biomarkers, TumorBody FluidsCohort StudiesCytokine TWEAKHumansMaleMiddle AgedNeoplasm InvasivenessProstatic NeoplasmsROC CurveStatistics, NonparametricTWEAK ReceptorBiomarkers, TumorCytokine TWEAKTNFRSF12A protein, humanTNFSF12 protein, humanTWEAK ReceptorBiofluidsBiomarkersDiagnosisProstate cancerTWEAK/Fn14 axis

Identifiers

PMID31500625
PMCPMC6734315
OpenAlexW2972249291

What OpenQuestion holds

Textmetadata
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.