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DOI 10.3390/ijms26167667

Медицинская библиотека · International journal of molecular sciences · 2025

Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.

Lopez-Valcarcel Marta, Lopez-Campos Fernando, Zafra-Martín Juan, Cienfuegos Belmonte Irene, Subiela José Daniel, Ruiz-Vico María, Fernandez Alonso Sandra, Garcia Cuesta Jose Angel, Couñago Felipe

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Аннотация

Prostate-specific antigen (PSA) has been the primary biomarker used for the detection and monitoring of prostate cancer for decades. However, its limited specificity and prognostic accuracy have led to the development of novel molecular and imaging biomarkers aimed at improving the clinical characterization of localized disease. This review critically examines recent advances in urinary biomarkers (e.g., PCA3, SelectMDx), tissue-based genomic assays (Oncotype DX Prostate, Prolaris, Decipher), and imaging techniques such as multiparametric magnetic resonance imaging (mpMRI) and prostate-specific membrane antigen positron emission tomography (PET-PSMA). We evaluate their diagnostic performance, prognostic value, and clinical utility in risk stratification and individualized treatment decision-making. Methodological and clinical barriers to their routine implementation are also discussed. Current evidence supports the multidisciplinary integration of these biomarkers to overcome the limitations of PSA, improve biopsy decision-making, better distinguish indolent from aggressive tumors, and optimize therapeutic strategies. Finally, future research directions aimed at validating and incorporating emerging biomarkers into clinical practice are outlined, with the goal of improving outcomes in patients with localized prostate cancer.

Для цитирования: Lopez-Valcarcel Marta, Lopez-Campos Fernando, Zafra-Martín Juan, Cienfuegos Belmonte Irene, Subiela José Daniel, Ruiz-Vico María, Fernandez Alonso Sandra, Garcia Cuesta Jose Angel, Couñago Felipe. Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.. International journal of molecular sciences. 2025. DOI: 10.3390/ijms26167667.

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