Articles producció científicaCiències Mèdiques Bàsiques

A Semen Panel Signature Comprising sTWEAK Cytokine Levels and Expression of exomiR-221-3p and exomiR-222-3p for Assessing Prostate Cancer Prognosis, Diagnostic Utility, and Detection of Upgrading During Active Surveillance

  • Dades identificatives

    Identificador:  imarina:9470488
    Autors:  Alves-Santiago, Marta; Altuna-Coy, Antonio; Lopez-Ribelles, Pablo; Arreaza-Gil, Veronica; Segarra-Tomas, Jose; Ascaso-Til, Helena; Garcia-Fontgivell, Joan Francesc; Sanchez-Martin, Silvia; Bernal-Escote, Xana; Ruiz-Plazas, Xavier; Chacon, Matilde R
    Resum:
    Purpose:We evaluated the seminal biomarker signature (sTWEAK, exomiR-221-3p, and exomiR-222-3p) in several prostate cancer (PCa) settings: diagnosis, tumor aggressiveness prognosis (International Society of Urological Pathology [ISUP] grade in radical prostatectomy specimens and biochemical recurrence [BCR]), and identifying biopsy upgrading in confirmatory biopsies during active surveillance (AS).Materials and Methods:Semen samples were collected from 136 PCa patients classified by prostatectomy specimen ISUP grades and classified as low-risk (ISUP I-II, n = 85) and high-risk patients (ISUP >= III, n = 51), along with 20 healthy controls, 35 patients with negative biopsies, and 51 low-risk PCa patients under AS. The relative expression levels of exomiR-221-3p and exomiR-222-3p in semen exovesicles were measured. ELISA was used to quantify sTWEAK levels. Statistical analyses, including multivariable binary logistic, Cox multivariate regression analysis, Survival classification regression tree models, and ROC, among others, were used to evaluate the predictive value of the biomarkers.Results:A model combining sTWEAK and exomiR-221-3p predicted high-risk PCa (AUC = 0.937), showing a linear biomarker-probability relationship but no clear cutoff. A model comprising PSA density and sTWEAK could be used for predicting BCR. sTWEAK alone distinguished PCa cases (AUC = 0.897). In AS patients, sTWEAK levels plus the percentage of positive biopsy cores best predicted upgrading (AUC = 0.824).Conclusions:Incorporating sTWEAK and exomiR-221-3p, along with clinical parameters, offers a promising diagnostic panel for PCa and serves as a useful predictive tool for AS upgrading and BCR prognosis.
  • Altres:

    Enllaç font original: https://www.auajournals.org/doi/10.1097/JU.0000000000004749
    Referència de l'ítem segons les normes APA: Alves-Santiago, Marta; Altuna-Coy, Antonio; Lopez-Ribelles, Pablo; Arreaza-Gil, Veronica; Segarra-Tomas, Jose; Ascaso-Til, Helena; Garcia-Fontgivell, (2026). A Semen Panel Signature Comprising sTWEAK Cytokine Levels and Expression of exomiR-221-3p and exomiR-222-3p for Assessing Prostate Cancer Prognosis, Diagnostic Utility, and Detection of Upgrading During Active Surveillance. JOURNAL OF UROLOGY, 215(1), -. DOI: 10.1097/JU.0000000000004749
    Referència a l'article segons font original: JOURNAL OF UROLOGY. 215 (1):
    DOI de l'article: 10.1097/JU.0000000000004749
    Any de publicació de la revista: 2026-01-01
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2026-10-10
    Autor/s de la URV: Altuna Coy, Antonio / Alves Santiago, Marta / Arreaza Gil, Verónica / Ascaso Til, Helena / Bernal Escoté, Xana / Garcia Fontgivell, Joan Francesc / Rodríguez Chacón, Matilde / Ruiz Plazas, Xavier / Sanchez Martin, Silvia / Segarra Tomas, Josep
    Departament: Ciències Mèdiques Bàsiques
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: info:eu-repo/semantics/article
    Autor segons l'article: Alves-Santiago, Marta; Altuna-Coy, Antonio; Lopez-Ribelles, Pablo; Arreaza-Gil, Veronica; Segarra-Tomas, Jose; Ascaso-Til, Helena; Garcia-Fontgivell, Joan Francesc; Sanchez-Martin, Silvia; Bernal-Escote, Xana; Ruiz-Plazas, Xavier; Chacon, Matilde R
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Àrees temàtiques: Urology & nephrology, Urology, Medicine (all), General medicine, Educação física, Biotecnología, Biodiversidade
    Adreça de correu electrònic de l'autor: joanfrancesc.garcia@urv.cat, xana.bernal@urv.cat, helena.ascaso@urv.cat, matilde.rodriguez@urv.cat, xavier.ruiz@urv.cat, silvia.sanchezm@estudiants.urv.cat, antonio.altuna@estudiants.urv.cat, marta.alves@estudiants.urv.cat, veronica.arreaza@urv.cat
  • Paraules clau:

    Urology
    Urology & Nephrology
    Medicine (all)
    General medicine
    Educação física
    Biotecnología
    Biodiversidade
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