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

  • Identification data

    Identifier:  imarina:9470488
    Authors:  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
    Abstract:
    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.
  • Others:

    Link to the original source: https://www.auajournals.org/doi/10.1097/JU.0000000000004749
    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
    Paper original source: JOURNAL OF UROLOGY. 215 (1):
    Article's DOI: 10.1097/JU.0000000000004749
    Journal publication year: 2026-01-01
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-10-10
    URV's Author/s: 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
    Department: Ciències Mèdiques Bàsiques
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: info:eu-repo/semantics/article
    Author, as appears in the 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Urology & nephrology, Urology, Medicine (all), General medicine, Educação física, Biotecnología, Biodiversidade
    Author's mail: 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
  • Keywords:

    Validation
    Semen
    Prognosis
    Microrna
    Men
    Diagnosis
    Biomarkers
    Active surveillance
  • Documents:

  • Cerca a google

    Search to google scholar