Purpose: To compare PCA3 score cut-off of 35 vs 20 in PCa diagnosis in patients undergoing repeated saturation prostate biopsy (SPBx).
Material And Methods: From January 2010 to May 2011, 118 patients (median 62.5 years) with primary negative extended biopsy underwent a transperineal SPBx (median 30 cores) for persistent suspicion of PCa. The indications for repeated biopsy were: persistently high or increasing PSA values; PSA > 10 ng/mL, PSA values between 4.1-10 or 2.6-4 ng/mL with free/total PSA ≤ 25% and ≤ 20 %, respectively; moreover, before performing SPBx urinary PCA3 score was evaluated.
Results: All patients had negative DRE and median PSA was 8.5 ng/mL (range: 3.7-24 ng/mL). A T1c PCa was found in 32 patients (27.1 %): PCA3 score was 59 (median; range: 7-201) in the presence of PCa and 35 (median; range: 3-253) in the absence of cancer (p < 0.05). In the presence of ASAP and HGPIN median PCA3 score was 109 (range: 42-253) and 40 (range: 30-140), respectively. Diagnostic accuracy, sensitivity, specificity, PPV and NPV of PCA3 score cut-off of 20 vs 35 in PCa diagnosis were 44.9 vs 50 %, 90.6 vs 71.9 %, 27.9 vs 41.8 %, 31.9 vs 31.5 % and 88.9 vs 80 %, respectively. ROC analysis demonstrated an AUC for PCA3 ≥ 20 vs ≥ 35 of 0.678 and 0.634, respectively.
Conclusions: Our data suggest that PCA3 is more useful as an exclusion tool; moreover, setting a PCA3 cut-off at 20 vs 35, would have avoided 22.9 vs 38.1 % of biopsies while missing 9.4 % and 28 % diagnosis of PCa.
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http://dx.doi.org/10.1590/s1677-55382012000400008 | DOI Listing |
World J Surg Oncol
December 2024
Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: To assess the clinical utility of PCA3 in the diagnostic accuracy, the correlation between PCA3 and biopsy or pathological characteristics and the performance of PCA3 to reduce the unnecessary biopsies in Chinese population.
Methods: A prospective study including patients with indication of prostate biopsies from 4 centers was conducted. All patients underwent PCA3 urine tests and prostate biopsies.
Urologia
December 2024
Urology and Nephrology Research Center, Research Institute for Urology and Nephrology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: To evaluate the potential capability of preoperative urinary Prostate Cancer Antigen 3 (PCA3) in predicting adverse pathologic features in patients with any- risk prostate cancer undergoing open retro-pubic radical prostatectomy.
Methods: Sixty-one biopsy-proven, clinically localized prostate cancer patients who underwent open radical prostatectomy were included in a prospectively designed cohort to evaluate the association of PCA3 score with various Adverse Pathologic Features (APF). The Area Under the Curve (AUC) of the Receiver Operating Characteristics (ROC) curve was used to quantify the predictive accuracy of PCA3 and a cut-off point was calculated to determine the predictability potential of PCA3 in foretelling the study parameters.
Technol Cancer Res Treat
October 2024
Department of Biochemistry, Covenant University, Ota, Nigeria.
Prostate cancer (PCa) is one of the most prevalent and deadly cancers among men, particularly affecting men of African descent and contributing significantly to cancer-related morbidity and mortality worldwide. The disease varies widely, from slow-developing forms to highly aggressive or potentially fatal variants. Accurate risk stratification is crucial for making therapeutic decisions and designing adequate clinical trials.
View Article and Find Full Text PDFJ Extracell Vesicles
August 2024
Department of Urology, Changhai Hospital, Shanghai, China.
In the quest for efficient tumor diagnosis via liquid biopsy, extracellular vesicles (EVs) have shown promise as a source of potential biomarkers. This study addresses the gap in biomarker efficacy for predicting clinically significant prostate cancer (csPCa) between the Western and Chinese populations. We developed a urinary extracellular vesicles-based prostate score (EPS) model, utilizing the EXODUS technique for EV isolation from 598 patients and incorporating gene expressions of FOXA1, PCA3, and KLK3.
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