Literature DB >> 31793864

Diagnostic accuracy of prostate cancer antigen 3 (PCA3) prior to first prostate biopsy: A systematic review and meta-analysis.

Sandra Viviana Muñoz Rodríguez1, Herney Andrés García-Perdomo2,3.   

Abstract

INTRODUCTION: We aimed to determine the diagnostic accuracy of the prostate cancer antigen 3 (PCA3) test before performing the first biopsy compared with prostate biopsy for the diagnosis of prostate cancer (PCa).
METHODS: A systematic search was performed in MEDLINE, EMBASE, CENTRAL, LILACS, reference lists, specialized journals in urology and cancer, and unpublished literature. The population was adults with suspected PCa, and the intervention was the measurement of PCA3 in urine samples for the diagnosis of PCa. The quality of studies was evaluated with the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. The operative characteristics were determined, and a meta-analysis was performed.
RESULTS: Nine studies of diagnostic tests were included based on a cutoff value of 35. The following overall values were obtained: the sensitivity was 0.69 (95% confidence interval [CI] 0.61-0.75); specificity was 0.65 (95% CI 0.553-0.733); the diagnostic odds ratio (DOR) was 4.244 (95% CI 3.487-5.166); and the area under the curve was 0.734 (95% CI 0.674-0.805), with a heterogeneity of 0%.
CONCLUSIONS: Urinary PCA3 has an acceptable diagnostic accuracy, aids in the study of patients with suspected PCa, and can be used as a guide for directing the performance of the first prostate biopsy and decreasing unnecessary biopsies.

Entities:  

Year:  2019        PMID: 31793864      PMCID: PMC7197956          DOI: 10.5489/cuaj.6008

Source DB:  PubMed          Journal:  Can Urol Assoc J        ISSN: 1911-6470            Impact factor:   1.862


  17 in total

Review 1.  [Assessment of the PCA3 test for prostate cancer diagnosis: a systematic review and meta-analysis].

Authors:  J Ruiz-Aragón; S Márquez-Peláez
Journal:  Actas Urol Esp       Date:  2010-04       Impact factor: 0.994

2.  Prostate cancer antigen 3 as a biomarker in the urine for prostate cancer diagnosis: a meta-analysis.

Authors:  Wu-Jin Xue; Xiu-Li Ying; Jin-Hong Jiang; Ye-Hui Xu
Journal:  J Cancer Res Ther       Date:  2014-11       Impact factor: 1.805

3.  Can urinary PCA3 supplement PSA in the early detection of prostate cancer?

Authors:  John T Wei; Ziding Feng; Alan W Partin; Elissa Brown; Ian Thompson; Lori Sokoll; Daniel W Chan; Yair Lotan; Adam S Kibel; J Erik Busby; Mohamed Bidair; Daniel W Lin; Samir S Taneja; Rosalia Viterbo; Aron Y Joon; Jackie Dahlgren; Jacob Kagan; Sudhir Srivastava; Martin G Sanda
Journal:  J Clin Oncol       Date:  2014-11-10       Impact factor: 44.544

Review 4.  Contemporary role of prostate cancer antigen 3 in the management of prostate cancer.

Authors:  Marco Auprich; Anders Bjartell; Felix K-H Chun; Alexandre de la Taille; Stephen J Freedland; Alexander Haese; Jack Schalken; Arnulf Stenzl; Bertrand Tombal; Henk van der Poel
Journal:  Eur Urol       Date:  2011-08-25       Impact factor: 20.096

5.  Comparison of prostate cancer gene 3 score, prostate health index and percentage free prostate-specific antigen for differentiating histological inflammation from prostate cancer and other non-neoplastic alterations of the prostate at initial biopsy.

Authors:  Stefano De Luca; Roberto Passera; Enrico Bollito; Matteo Manfredi; Roberto Mario Scarpa; Antonino Sottile; Donato Franco Randone; Francesco Porpiglia
Journal:  Anticancer Res       Date:  2014-12       Impact factor: 2.480

6.  Predicting prostate biopsy outcome using a PCA3-based nomogram in a Polish cohort.

Authors:  Maciej Salagierski; Peter Mulders; Jack A Schalken
Journal:  Anticancer Res       Date:  2013-02       Impact factor: 2.480

7.  Initial prostate biopsy: development and internal validation of a biopsy-specific nomogram based on the prostate cancer antigen 3 assay.

Authors:  Jens Hansen; Marco Auprich; Sascha A Ahyai; Alexandre de la Taille; Hendrik van Poppel; Michael Marberger; Arnulf Stenzl; Peter F A Mulders; Hartwig Huland; Margit Fisch; Clement-Claude Abbou; Jack A Schalken; Yves Fradet; Leonard S Marks; William Ellis; Alan W Partin; Karl Pummer; Markus Graefen; Alexander Haese; Jochen Walz; Alberto Briganti; Shahrokh F Shariat; Felix K Chun
Journal:  Eur Urol       Date:  2012-07-20       Impact factor: 20.096

8.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

9.  PCA3 and PCA3-based nomograms improve diagnostic accuracy in patients undergoing first prostate biopsy.

Authors:  Alain Ruffion; Marian Devonec; Denis Champetier; Myriam Decaussin-Petrucci; Claire Rodriguez-Lafrasse; Philippe Paparel; Paul Perrin; Virginie Vlaeminck-Guillem
Journal:  Int J Mol Sci       Date:  2013-08-29       Impact factor: 5.923

Review 10.  The PCA3 test for guiding repeat biopsy of prostate cancer and its cut-off score: a systematic review and meta-analysis.

Authors:  Yong Luo; Xin Gou; Peng Huang; Chan Mou
Journal:  Asian J Androl       Date:  2014 May-Jun       Impact factor: 3.285

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  6 in total

1.  PCA3 in Prostate Cancer.

Authors:  Roberta Gunelli; Eugenia Fragalà; Massimo Fiori
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Modern biomarkers in prostate cancer diagnosis.

Authors:  Paweł Porzycki; Ewa Ciszkowicz
Journal:  Cent European J Urol       Date:  2020-08-07

3.  Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study.

Authors:  Peter Ka-Fung Chiu; Xiao Shen; Guanjin Wang; Cho-Lik Ho; Chi-Ho Leung; Chi-Fai Ng; Kup-Sze Choi; Jeremy Yuen-Chun Teoh
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-07-15       Impact factor: 5.554

4.  Urine spermine and multivariable Spermine Risk Score predict high-grade prostate cancer.

Authors:  Peter Ka-Fung Chiu; Yan-Ho Fung; Jeremy Yuen-Chun Teoh; Chun-Hong Chan; Ka-Lun Lo; Kai-Man Li; Ryan Tsz-Hei Tse; Chi-Ho Leung; Yim-Ping Wong; Monique J Roobol; Ka-Leung Wong; Chi-Fai Ng
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-01-06       Impact factor: 5.554

5.  The value of magnetic resonance imaging and ultrasonography (MRI/US)-fusion biopsy in clinically significant prostate cancer detection in patients with biopsy-naïve men according to PSA levels: A propensity score matching analysis.

Authors:  Hye J Byun; Teak J Shin; Wonho Jung; Ji Y Ha; Byung H Kim; Young H Kim
Journal:  Prostate Int       Date:  2021-11-04

Review 6.  Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers.

Authors:  Cristina V Berenguer; Ferdinando Pereira; Jorge A M Pereira; José S Câmara
Journal:  Cancers (Basel)       Date:  2022-08-17       Impact factor: 6.575

  6 in total

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