Literature DB >> 23433132

Prostate cancer detection rate at repeat saturation biopsy: PCPT risk calculator versus PCA3 score versus case-finding protocol.

Pietro Pepe1, Francesco Aragona.   

Abstract

INTRODUCTION: To evaluate Prostate Cancer Prevention Trial (PCPT) risk calculator versus prostate cancer gene 3 (PCA3) score versus case-finding protocol accuracy in prostate cancer diagnosis in patients with prostate-specific antigen (PSA) below 10 ng/mL submitted to repeat saturation biopsy (SPBx).
MATERIALS AND METHODS: From December 2010 to December 2011, 100 patients (median 66 years) underwent a SPBx (median 30 cores); the indications for repeat biopsy were those of a case-finding protocol: PSA values between 4.1 ng/mL-10 ng/mL or 2.6 ng/mL-4 ng/mL with F/T PSA ≤ 25% and ≤ 20%, respectively. All patients had negative digital rectal examination (DRE) and median PSA was 7.9 ng/mL. The performance of PCPT risk calculator (alone, combined with PSA free/total ( F/T) or PCA3 score) and PCA3 score in comparison with the case-finding protocol results (alone or combined with PCA3 score) was retrospectively evaluated in terms of detection rate for cancer and number of avoided biopsies.
RESULTS: Prostate cancer was found in 28 (28%) patients; in the presence and absence of prostate cancer median PCA3 score was 57 versus 35 (p < 0.05). Using PCPT risk calculator (cut off probability of 25%) combined with PCA3 score no prostate cancer would be missed avoiding 8% of unnecessary biopsies. PCA3 score > 20 missed 7.2% of cancer; the case-finding protocol combined with PCA3 score > 35 would save 22% of avoidable biopsies, missing no cancer if all patients with PSA F/T ≤ 15% would undergo prostate biopsy irrespective of PCA3 values.
CONCLUSIONS: PCA3 score improves PCPT risk calculator accuracy in prostate cancer diagnosis; moreover, PCA3 score combined with PSA F/T reduce number of unnecessary biopsies (about 20%).

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23433132

Source DB:  PubMed          Journal:  Can J Urol        ISSN: 1195-9479            Impact factor:   1.344


  4 in total

1.  Incorporation of detailed family history from the Swedish Family Cancer Database into the PCPT risk calculator.

Authors:  Sonja Grill; Mahdi Fallah; Robin J Leach; Ian M Thompson; Stephen Freedland; Kari Hemminki; Donna P Ankerst
Journal:  J Urol       Date:  2014-09-19       Impact factor: 7.450

Review 2.  PCA3 and TMPRSS2-ERG gene fusions as diagnostic biomarkers for prostate cancer.

Authors:  Zheng Yang; Lu Yu; Zhe Wang
Journal:  Chin J Cancer Res       Date:  2016-02       Impact factor: 5.087

Review 3.  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

4.  A Combined CRISP3 and SPINK1 Prognostic Grade in EPS-Urine and Establishment of Models to Predict Prognosis of Patients With Prostate Cancer.

Authors:  Lizhu Chen; Enchong Zhang; Johnny Guan; Zhengjie Chen; Jianfeng Ye; Wangmin Liu; Jieqian He; Bo Yin; Yongsheng Song; Mo Zhang
Journal:  Front Med (Lausanne)       Date:  2022-02-17
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.