Literature DB >> 32241692

Serum and urine biomarkers for detecting clinically significant prostate cancer.

Maria F Becerra1, Venkatasai S Atluri1, Amit S Bhattu1, Sanoj Punnen2.   

Abstract

Since the "prostate-specific antigen (PSA) era," we have seen an increase in unnecessary biopsies, which has ultimately lead to an overtreatment of low-risk cancers. Given the limitations of prostate-specific antigen and the invasive nature of prostate biopsy several serum and urinary biomarkers have been developed. In this paper, we provide a comprehensive review of the available biomarkers for the detection clinically significant prostate cancer namely PHI, 4Kscore, PCA3, MiPS, SelectMDx, ExosomeDX. Current literature suggests that these biomarkers can improve detection of clinically significant prostate cancer reducing overtreatment and making treatment strategies more cost-effective. Nevertheless, large prospective studies with head-to-head-comparisons of the available biomarkers are necessary to fully assess the potential of incorporating biomarkers in routine clinical practice.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinically significant cancer; Prostate cancer; Serum biomarkers; Urine biomarkers

Mesh:

Substances:

Year:  2020        PMID: 32241692     DOI: 10.1016/j.urolonc.2020.02.018

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  8 in total

Review 1.  From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer.

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Review 2.  Tumor Microenvironment in Prostate Cancer: Toward Identification of Novel Molecular Biomarkers for Diagnosis, Prognosis, and Therapy Development.

Authors:  Hisham F Bahmad; Mohammad Jalloul; Joseph Azar; Maya M Moubarak; Tamara Abdul Samad; Deborah Mukherji; Mohamed Al-Sayegh; Wassim Abou-Kheir
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3.  Comprehensive Landscape of HOXA2, HOXA9, and HOXA10 as Potential Biomarkers for Predicting Progression and Prognosis in Prostate Cancer.

Authors:  Yan-Ping Song; Peng Xian; Hong Luo; Jun-Yong Dai; Yu Bai; Yuan Li; Xian-Li Tang
Journal:  J Immunol Res       Date:  2022-03-24       Impact factor: 4.818

4.  Adverse upgrading and/or upstaging in contemporary low-risk prostate cancer patients.

Authors:  Rocco S Flammia; Benedikt Hoeh; Lukas Hohenhorst; Gabriele Sorce; Francesco Chierigo; Andrea Panunzio; Zhe Tian; Fred Saad; Costantino Leonardo; Alberto Briganti; Alessandro Antonelli; Carlo Terrone; Shahrokh F Shariat; Umberto Anceschi; Markus Graefen; Felix K H Chun; Francesco Montorsi; Michele Gallucci; Pierre I Karakiewicz
Journal:  Int Urol Nephrol       Date:  2022-07-15       Impact factor: 2.266

Review 5.  Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review.

Authors:  Marina Triquell; Miriam Campistol; Ana Celma; Lucas Regis; Mercè Cuadras; Jacques Planas; Enrique Trilla; Juan Morote
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Review 6.  Incorporating Prognostic Biomarkers into Risk Assessment Models and TNM Staging for Prostate Cancer.

Authors:  Ragheed Saoud; Nassib Abou Heidar; Alessia Cimadamore; Gladell P Paner
Journal:  Cells       Date:  2020-09-17       Impact factor: 6.600

7.  The Barcelona Predictive Model of Clinically Significant Prostate Cancer.

Authors:  Juan Morote; Angel Borque-Fernando; Marina Triquell; Anna Celma; Lucas Regis; Manel Escobar; Richard Mast; Inés M de Torres; María E Semidey; José M Abascal; Carles Sola; Pol Servian; Daniel Salvador; Anna Santamaría; Jacques Planas; Luis M Esteban; Enrique Trilla
Journal:  Cancers (Basel)       Date:  2022-03-21       Impact factor: 6.639

Review 8.  Health Economic Evidence for Liquid- and Tissue-based Molecular Tests that Inform Decisions on Prostate Biopsies and Treatment of Localised Prostate Cancer: A Systematic Review.

Authors:  Koen Degeling; Amanda Pereira-Salgado; Niall M Corcoran; Paul C Boutros; Peter Kuhn; Maarten J IJzerman
Journal:  Eur Urol Open Sci       Date:  2021-03-26
  8 in total

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