Articles producció científicaMedicina i Cirurgia

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

  • Dades identificatives

    Identificador:  imarina:9297566
    Autors:  Ruiz-Plazas, Xavier; Rodriguez-Gallego, Esther; Alves, Marta; Altuna-Coy, Antonio; Lozano-Bartolome, Javier; Portero-Otin, Manel; Francesc Garcia-Fontgivell, Joan; Martinez-Gonzalez, Salome; Segarra, Jose; Chacon, Matilde R
    Resum:
    Background Conventional 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. Methods We 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. Results Total 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). Conclusions T
  • Altres:

    Autor segons l'article: Ruiz-Plazas, Xavier; Rodriguez-Gallego, Esther; Alves, Marta; Altuna-Coy, Antonio; Lozano-Bartolome, Javier; Portero-Otin, Manel; Francesc Garcia-Fontgivell, Joan; Martinez-Gonzalez, Salome; Segarra, Jose; Chacon, Matilde R
    Departament: Ciències Mèdiques Bàsiques; Medicina i Cirurgia
    Autor/s de la URV: Alves Santiago, Marta / Martínez González, María Salomé / Rodríguez Gallego, Esther
    Paraules clau: Biofluids; Biomarkers; Biomarkers, tumor; Blood; Body fluids; Cells; Cholesterol; Cohort studies; Cytokine tweak; Diagnosis; Fn14 axis; Force; Humans; Kallikreins; Macrophages; Male; Middle aged; Neoplasm invasiveness; Progression; Prostate cancer; Prostatic neoplasms; Risk; Roc curve; Soluble cd163; Statistics, nonparametric; Stweak; Tnfrsf12a protein, human; Tnfsf12 protein, human; Tweak; Tweak receptor; Tweak/fn14 axis
    Resum: Background Conventional 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. Methods We 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. Results Total 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). Conclusions TWEAK/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.
    Àrees temàtiques: Biochemistry, genetics and molecular biology (all); Biochemistry, genetics and molecular biology (miscellaneous); Biotecnología; Ciências biológicas i; Ciências biológicas ii; Ciências biológicas iii; Farmacia; General biochemistry,genetics and molecular biology; General medicine; Interdisciplinar; Medicina i; Medicina ii; Medicina iii; Medicina veterinaria; Medicine (all); Medicine (miscellaneous); Medicine, research & experimental; Nutrição; Odontología
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: esther.rodriguez@urv.cat; marta.alves@estudiants.urv.cat; mariasalome.martinez@urv.cat
    Data d'alta del registre: 2025-03-03
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-019-2053-6
    Referència a l'article segons font original: Journal Of Translational Medicine. 17 (1): 307-
    Referència de l'ítem segons les normes APA: Ruiz-Plazas, Xavier; Rodriguez-Gallego, Esther; Alves, Marta; Altuna-Coy, Antonio; Lozano-Bartolome, Javier; Portero-Otin, Manel; Francesc Garcia-Font (2019). Biofluid quantification of TWEAK/Fn14 axis in combination with a selected biomarker panel improves assessment of prostate cancer aggressiveness. Journal Of Translational Medicine, 17(1), -. DOI: 10.1186/s12967-019-2053-6
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1186/s12967-019-2053-6
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2019
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Biochemistry, Genetics and Molecular Biology (Miscellaneous),Medicine (Miscellaneous),Medicine, Research & Experimental
    Biofluids
    Biomarkers
    Biomarkers, tumor
    Blood
    Body fluids
    Cells
    Cholesterol
    Cohort studies
    Cytokine tweak
    Diagnosis
    Fn14 axis
    Force
    Humans
    Kallikreins
    Macrophages
    Male
    Middle aged
    Neoplasm invasiveness
    Progression
    Prostate cancer
    Prostatic neoplasms
    Risk
    Roc curve
    Soluble cd163
    Statistics, nonparametric
    Stweak
    Tnfrsf12a protein, human
    Tnfsf12 protein, human
    Tweak
    Tweak receptor
    Tweak/fn14 axis
    Biochemistry, genetics and molecular biology (all)
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biotecnología
    Ciências biológicas i
    Ciências biológicas ii
    Ciências biológicas iii
    Farmacia
    General biochemistry,genetics and molecular biology
    General medicine
    Interdisciplinar
    Medicina i
    Medicina ii
    Medicina iii
    Medicina veterinaria
    Medicine (all)
    Medicine (miscellaneous)
    Medicine, research & experimental
    Nutrição
    Odontología
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