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
Autor/s de la URV: Alves Santiago, Marta / Martínez González, María Salomé
Paraules clau: Tweak Stweak Soluble cd163 Risk Prostate cancer Progression Macrophages Kallikreins Force Fn14 axis Diagnosis Cholesterol Cells Blood Biomarkers Biofluids
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: Odontología Nutrição Medicine, research & experimental Medicine (miscellaneous) Medicine (all) Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar General medicine General biochemistry,genetics and molecular biology Farmacia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Biotecnología Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all)
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: mariasalome.martinez@urv.cat marta.alves@estudiants.urv.cat
Identificador de l'autor: 0000-0001-6185-2889
Data d'alta del registre: 2024-07-27
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
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of Translational Medicine. 17 (1):
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
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
Repositori URV