Literature DB >> 21939492

A comparative performance analysis of total prostate-specific antigen, percentage free prostate-specific antigen, prostate-specific antigen velocity and urinary prostate cancer gene 3 in the first, second and third repeat prostate biopsy.

Marco Auprich1, Herbert Augustin, Lars Budäus, Luis Kluth, Sebastian Mannweiler, Shahrokh F Shariat, Margit Fisch, Markus Graefen, Karl Pummer, Felix K-H Chun.   

Abstract

UNLABELLED: Study Type - Diagnosis (exploratory cohort) Level of Evidence 2b What's known on the subject? and What does the study add? Risk factor assessment in the repeat biopsy setting is affected by a decreasing diagnostic accuracy of each single risk factor (e.g. DRE, tPSA, %fPSA, complexed PSA, PSA density or PSAV] with increasing number of prostate biopsy sessions. PCA3 shows impressive diagnostic performance in the initial and early repeat biopsy settings. In a head-to-head comparison we demonstrate the concept that the number of previous repeat biopsy session strongly influences performance characteristics of biopsy risk factors, including PCA3. While the novel diagnostic marker would have avoided a considerable number of unnecessary biopsies in the first repeat biopsy scenario, its effects dissipated at second and ≥ third repeat biopsies.
OBJECTIVE: To compare the performance characteristics of prostate cancer risk factors such as total prostate-specific antigen (tPSA), percentage free PSA (%fPSA), PSA velocity (PSAV) and urinary prostate cancer gene 3 (PCA3) at first, second and ≥ third repeat biopsy session. PATIENTS AND METHODS: Patients (n= 127) aged ≤70 years, with suspicious digital rectal examination (DRE) and/or persistently elevated age-specific total PSA levels (2.5-6.5 ng/mL) and/or suspicious prior histology (atypical small acinar proliferations [ASAPs]≥ two cores affected by high-grade prostatic intra-epithelial neoplasia [HGPIN]) undergoing either a first, second, or ≥ third repeat biopsy were investigated using a 12- or 24-core biopsy scheme. PSAV (≥ three values collected over ≥12 months) was calculated using the log-slope method. PCA3 scores were assessed using the Progensa assay®. After stratification according to the number of previous biopsies (first, second and ≥ third), calculation of specificity, positive and negative predictive values (PPV, NPV) and the proportion of avoided unnecessary repeat biopsies (PAB) compared with tPSA at fixed sensitivity thresholds (75, 85 and 95%) were performed. Finally, accuracy estimates (area under the curve [AUC]) were quantified for each repeat biopsy scenario.
RESULTS: At repeat biopsy, overall prostate cancer (PCa) detection was 34.6%. At first repeat biopsy, PCA3 predicted PCa best (AUC = 0.80) and would have avoided 72.2% of repeat biopsies (75% sensitivity) compared with tPSA. At second repeat biopsy, %fPSA demonstrated the highest accuracy (AUC = 0.82) and would have avoided 66.7% of repeat biopsies (75% sensitivity) compared with tPSA. At ≥ third repeat biopsy, again %fPSA demonstrated the highest accuracy (AUC = 0.70) and would have avoided 45.0% of repeat biopsies (75% sensitivity) compared with tPSA. The main limitation of our study resides in its small sample size.
CONCLUSIONS: The findings of the present study promote the concept that the number of previous repeat biopsy sessions strongly influences the performance characteristics of biopsy risk factors. Total PSA was no significant risk factor in the entire analysis. By contrast, %fPSA performed best at second and ≥ third repeat biopsy. PSAV's diagnostic potential was reserved to patients at second and ≥ third repeat biopsy. Finally, PCA3 demonstrated the highest diagnostic accuracy and potential to reduce unnecessary biopsies at first repeat biopsy. However, this advantage dissipated at second and ≥ third repeat biopsy.
© 2011 THE AUTHORS; BJU INTERNATIONAL © 2011 BJU INTERNATIONAL.

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Year:  2011        PMID: 21939492     DOI: 10.1111/j.1464-410X.2011.10584.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  14 in total

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Journal:  Nat Rev Urol       Date:  2015-07-14       Impact factor: 14.432

2.  Assessment of long-term outcomes associated with urinary prostate cancer antigen 3 and TMPRSS2:ERG gene fusion at repeat biopsy.

Authors:  Selin Merdan; Scott A Tomlins; Christine L Barnett; Todd M Morgan; James E Montie; John T Wei; Brian T Denton
Journal:  Cancer       Date:  2015-08-17       Impact factor: 6.860

3.  Counterpoint: Prostate-specific antigen velocity is not of value for early detection of cancer.

Authors:  Andrew J Vickers
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Review 4.  PCA3 in the detection and management of early prostate cancer.

Authors:  Xavier Filella; Laura Foj; Montserrat Milà; Josep M Augé; Rafael Molina; Wladimiro Jiménez
Journal:  Tumour Biol       Date:  2013-03-16

Review 5.  Biomarkers in Prostate Cancer Diagnosis: From Current Knowledge to the Role of Metabolomics and Exosomes.

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Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

6.  Prostate-Specific Antigen (PSA) and Prostate Volume: Better Predictor of Prostate Cancer for Bosnian and Herzegovina Men.

Authors:  Jozo Coric; Jasminka Mujic; Elma Kucukalic; Daria Ler
Journal:  Open Biochem J       Date:  2015-05-15

Review 7.  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

8.  Reproducibility, performance, and clinical utility of a genetic risk prediction model for prostate cancer in Japanese.

Authors:  Shusuke Akamatsu; Atsushi Takahashi; Ryo Takata; Michiaki Kubo; Takahiro Inoue; Takashi Morizono; Tatsuhiko Tsunoda; Naoyuki Kamatani; Christopher A Haiman; Peggy Wan; Gary K Chen; Loic Le Marchand; Laurence N Kolonel; Brian E Henderson; Tomoaki Fujioka; Tomonori Habuchi; Yusuke Nakamura; Osamu Ogawa; Hidewaki Nakagawa
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

Review 9.  Current status of biomarkers for prostate cancer.

Authors:  Vicki M Velonas; Henry H Woo; Cristobal G dos Remedios; Stephen J Assinder
Journal:  Int J Mol Sci       Date:  2013-05-24       Impact factor: 5.923

10.  A comparative performance analysis of total PSA, percentage free PSA, PSA velocity, and PSA density versus the detection of primary circulating prostate cells in predicting initial prostate biopsy findings in Chilean men.

Authors:  Nigel P Murray; Eduardo Reyes; Nelson Orellana; Cynthia Fuentealba; Ricardo Dueñas
Journal:  Biomed Res Int       Date:  2014-07-01       Impact factor: 3.411

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