Prostate Cancer Gene 3 Score Research Articles

Machine Learning Techniques in Prostate Cancer Diagnosis According to Prostate-Specific Antigen Levels and Prostate Cancer Gene 3 Score

Purpose: To explore the role of artificial intelligence and machine learning (ML) techniques in oncological urology. In recent years, our group investigated the prostate cancer gene 3 (PCA3) score, prostate-specific antigen (PSA), and free-PSA predictive role for prostate cancer (PCa), using the classical binary logistic regression (LR) modeling. In this research, we approached the same clinical problem by several different ML algorithms, to evaluate their performances and feasibility in a real-world evidence PCa detection trial.Materials and Methods: The occurrence of a positive biopsy has been studied in a large cohort of 1,246 Italian men undergoing first or repeat biopsy. Seven supervised ML algorithms were selected to build biomarkers-based predictive models: generalized linear model, gradient boosting machine, eXtreme gradient boosting machine (XGBoost), distributed random forest/ extremely randomized forest, multilayer artificial Deep Neural Network, naïve Bayes classifier, and an automatic ML ensemble function.Results: All the ML models showed better performances in terms of area under curve (AUC) and accuracy, when compared to LR model. Among them, an XGBoost model tuned by the autoML function reached the best metrics (AUC, 0.830), well overtaking LR results (AUC, 0.738). In the variable importance ranking coming from this XGBoost model (accuracy, 0.824), the PCA3 score importance was 3-fold and 4-fold larger, when compared to that of free-PSA and PSA, respectively.Conclusions: The ML approach proved to be feasible and able to achieve good predictive performances with reproducible results: it may thus be recommended, when applied to PCa prediction based on biomarkers fluctuations.

Impact of Histopathological Prostate Inflammation on Urine-Based Prostate Cancer Prediction Using the Prostate Cancer Gene 3 Score

Introduction: The Prostate Cancer gene 3 (PCA3) urine test has gained importance in the diagnostic workup of prostate cancer (PC). Limited evidence suggests that PCA3 is not altered in the presence of inflammation. Objective: To assess the impact of histological inflammation on PCA3. Methods: PCA3 was evaluated in patients prior to prostate biopsy (n = 193) and to radical prostatectomy (n = 197). In patients without PC, inflammation was assessed and quantified by individual scores integrating grade and extent. Uni- and multivariate analyses were performed to assess the impact of inflammation grade on PCA3. Results: The PCA3 scores prior to prostatectomy were lower (median 45) than those before positive biopsy (57; p = 0.008). Of 101 negative biopsies, 78% showed inflammation. The median PCA3 scores in the groups with no inflammation and with maximum grade 1 (n = 22), 2 (n = 38), and 3 (n = 19) inflammation were 45, 38, 27, and 25 (p = 0.016). The multivariate models revealed a decrease in PCA3 proportional to the grade and extent of inflammation (p < 0.04 each). Conclusions: The present data imply that the PCA3 score decreases in the presence of inflammation, which is relevant, for instance, to testing after a recently performed biopsy. In general, inflammation should be regarded as a factor putatively influencing PCA3 and other available and upcoming PC tests.

The Value and Evaluability of the PCA3 Urine Assay in Prostate Carcinoma is Independent of the Tumor Localization.

The prostate cancer gene 3 (PCA3) test is based on the analysis of tumor cell mRNA in urine. As an exprimated urinary marker, its retrieval is subject to certain physical aspects like palpation pressure and detachment force during the squeezing of cells. Other potential factor of influence may be the distance the cells have to cover until they reach the urethra. Thus, it was investigated whether the localization of the tumors within the prostate with regard to the urethra and the seminal colliculus influences the PCA3 score. Prostatectomy specimens of 55 organ-confined prostate cancer patients were processed according to the Stanford protocol. For each prostatectomy specimen, a three-dimensional reconstruction including the surface of the prostate, the tumor areas and the urethra was created. By model simulating, virtual concentric tubes were placed around the urethra and spherical volumes were virtually positioned around the seminal colliculus at diameters of 8, 16 and 32mm. Depending on localization, tumor volumes may or may not protrude into the tubes or spherical volumes. For each respective diameter, PCA3 levels were compared between the subgroup with and without protrusion of tumor tissue into the tube or spherical ball. For none of the diameters, whether in tubes or spherical balls, were patients without intersection volumes-hence showing peripherally located tumors-found to have lower PCA3 levels. No clinical or histopathological parameter correlated with the PCA3 score. The location of the tumor mass in the prostate with respect to the urethra or the seminal colliculus did not to affect the PCA3 score. Hence, the location of the tumor does not limit the validity of the PCA3 score, and even for exclusively peripherall y located tumors, this possible influencing factor did not lead to an artificial modulation of the PCA3 score.

Risk Stratification by Urinary Prostate Cancer Gene 3 Testing Before Magnetic Resonance Imaging-Ultrasound Fusion-targeted Prostate Biopsy Among Men With No History of Biopsy

To determine whether a combination of prostate cancer gene 3 (PCA3) and magnetic resonance imaging (MRI) suspicion score (mSS) could further optimize detection of prostate cancer on MRI fusion-targeted biopsy (MRF-TB) among men with no history of biopsy. We included in this study 187 men presenting to our institution between June 2012 and August 2014 who underwent multiparametric MRI (mpMRI) and PCA3 before MRF-TB. Biopsy results, stratified by biopsy indication and PCA3 score, were recorded. Receiver operating characteristics curves and multivariable logistic regressions were used to model the association of PCA3 and mSS with cancer detection on MRF-TB. PCA3 is associated with cancer detection on MRF-TB for men with no prior biopsies (area under the curve: 0.67, 95% confidence interval: 0.59-0.76). Using a cutoff of ≥35, PCA3 was associated with cancer risk among men with mSS 2-3 (P = .004), but not among those with mSS 4-5 (P = .340). The interaction of PCA3 and mSS demonstrated significantly higher discrimination for cancer than mSS alone (area under the curve: 0.83 vs 0.79, P = .0434). Urinary PCA3 is associated with mSS and the detection of cancer on MRF-TB for men with no prior biopsies. PCA3 notably demonstrates a high negative predictive value among mSS 2-3. However, in the case of high-suspicion mpMRI, PCA3 is not associated with cancer detection on MRF-TB, adding little to cancer diagnosis. Further studies are needed to evaluate the utility of PCA3 in predicting cancer among men with normal mpMRI.

A positive Real-Time Elastography (RTE) combined with a Prostate Cancer Gene 3 (PCA3) score above 35 convey a high probability of intermediate- or high-risk prostate cancer in patient admitted for primary prostate biopsy.

BackgroundThe standard of care in patients with suspected prostate cancer (PCa) is systematic prostate biopsies. This approach leads to unnecessary biopsies in patients without PCa and also to the detection of clinical insignificant PCa. Better tools are wanted. We have evaluated the performance of real-time elastography (RTE) combined with prostate cancer gene 3 (PCA3) in an initial biopsy setting with the goal of better identifying patients in need of prostate biopsies.Methods127 patients were included in this study; three were excluded because of not measureable PCA3 score leading to 124 evaluable patients. A cut-off value of 35 was used for PCA3. All patients were examined with a Hitachi Preirus with an endfire probe for RTE, a maximum of five targeted biopsies were obtained from suspicious lesions detected by RTE. All patients then had a 10-core systematic biopsy performed by another urologist unaware of the RTE results. The study includes follow-up data for a minimum of three years; all available histopathological data are included in the analysis.ResultsThere was a significant difference in PCA3 score: 26.6 for benign disease, 73.6 for cancer patients (p < 0.001). 70 patients (56 %) were diagnosed with prostate cancer in the study period, 21 (30 %) low-risk, 32 (46 %) intermediate-risk and 17 (24 %) high-risk. RTE and PCA3 were significant markers for predicting intermediate- and high-risk PCa (p = 0.001). The combination of RTE and PCA3 had a sensitivity of 96 % and a negative predictive value (NPV) of 90 % for the group of intermediate- and high-risk PCa together and a NPV for high-risk PCa of 100 %. If both parameters are positive there is a high probability of detecting intermediate- or high-risk PCa, if both parameters are negative there is only a small chance of missing prostate cancer with documented treatment benefit.ConclusionsRTE and PCA3 may be used as pre-biopsy examinations to reduce the number of prostate biopsies.

High prostate cancer gene 3 (PCA3) scores are associated with elevated Prostate Imaging Reporting and Data System (PI-RADS) grade and biopsy Gleason score, at magnetic resonance imaging/ultrasonography fusion software-based targeted prostate biopsy after a previous negative standard biopsy.

To determine the association among prostate cancer gene 3 (PCA3) score, Prostate Imaging Reporting and Data System (PI-RADS) grade and Gleason score, in a cohort of patients with elevated prostate-specific antigen (PSA), undergoing magnetic resonance imaging/ultrasonography fusion software-based targeted prostate biopsy (TBx) after a previous negative randomised 'standard' biopsy (SBx). In all, 282 patients who underwent TBx after previous negative SBx and a PCA3 urine assay, were enrolled. The associations between PCA3 score/PI-RADS and PCA3 score/Gleason score were investigated by K-means clustering, a receiver operating characteristic analysis and binary logistic regression. The PCA3 score difference for the negative vs positive TBx cohorts was highly statistically significant. A 1-unit increase in the PCA3 score was associated to a 2.4% increased risk of having a positive TBx result. A PCA3 score of >80 and a PI-RADS grade of ≥4 were independent predictors of a positive TBx. The association between the PCA3 score and PI-RADS grade was statistically significant (the median PCA3 score for PI-RADS grade groups 3, 4, and 5 was 58, 104, and 146, respectively; P = 0.006). A similar pattern was detected for the relationship between the PCA3 score and Gleason score; an increasing PCA3 score was associated with a worsening Gleason score (median PCA3 score equal to 62, 105, 132, 153, 203, and 322 for Gleason Score 3+4, 4+3, 4+4, 4+5, 5+4, and 5+5, respectively; P < 0.001). TBx improved PCA3 score diagnostic and prognostic performance for prostate cancer. The PCA3 score was directly associated both with biopsy Gleason score and PI-RADS grade: notably, in the 'indeterminate' PI-RADS grade 3 subgroup.

Editorial: Molecular Function and Regulation of Non-coding RNAs in Multifactorial Diseases.

Editorial: Molecular Function and Regulation of Non-coding RNAs in Multifactorial Diseases.

Clinical evaluation of prostate cancer gene 3 score in diagnosis among Chinese men with prostate cancer and benign prostatic hyperplasia.

BackgroundProstate cancer is the second most common diagnosed cancer in men. Due to the low specificity of current diagnosis methods for detecting prostate cancer, identification of new biomarkers is highly desirable. The study was conducted to determine the clinical utility of the prostate cancer gene 3 (PCA3) assay to predict biopsy-detected cancers in Chinese men.MethodsThe study included men who had a biopsy at The Affiliated Sixth People’s Hospital of Shanghai Jiao Tong University from January 2013 to December 2013. Formalin-fixed, paraffin-embedded tissue blocks were used to test PCA3 and prostate-specific antigen (PSA) mRNA. The diagnostic accuracy of the PCA3 score for predicting a positive biopsy outcome was studied using sensitivity and specificity, and it was compared with PSA.ResultsThe probability of a positive biopsy increased with increasing PCA3 scores. The mean PCA3 score was significantly higher in men with prostate cancer (198.03, 95 % confidence interval [CI] 74.79–321.27) vs benign prostatic hyperplasia (BPH) (84.31, 95 % CI 6.47–162.15, P < 0.01). The PCA3 score (cutoff 35) had a sensitivity of 85.7 % and specificity of 62.5 %. Receiver operating characteristic analysis showed higher areas under the ROC curve for the PCA3 score vs PSA, but without statistical significance.ConclusionsIncreased PCA3 in biopsy tissue correlated with prostate cancer and the PCA3 assay may improve the diagnosis efficacy as the PCA3 score being independent of PSA level. The diagnostic significance of urinary PCA3 testing should be explored in future study to determine the prediction value in guiding biopsy decision as the clinical relevance of current study was limited for PCA3 testing based on biopsy tissue in a limited number of Chinese men.

PCA3 in prostate cancer and tumor aggressiveness detection on 407 high-risk patients: a National Cancer Institute experience.

BackgroundProstate cancer (PCa) is the most common male cancer in Europe and the US. The early diagnosis relies on prostate specific antigen (PSA) serum test, even if it showed clear limits. Among the new tests currently under study, one of the most promising is the prostate cancer gene 3 (PCA3), a non-coding mRNA whose level increases up to 100 times in PCa tissues when compared to normal tissues. With the present study we contribute to the validation of the clinical utility of the PCA3 test and to the evaluation of its prognostic potential.Methods407 Italian men, with two or more PCa risk factors and at least a previous negative biopsy, entering the Urology Unit of Regina Elena National Cancer Institute, were tested for PCA3, total PSA (tPSA) and free PSA (fPSA and f/tPSA) tests. Out of the 407 men enrolled, 195 were positive for PCa and 114 of them received an accurate staging with evaluation of the Gleason score (Gs). Then, the PCA3 score was correlated to biopsy outcome, and the diagnostic and prognostic utility were evaluated.ResultsOut of the 407 biopsies performed after the PCA3 test, 195 (48%) resulted positive for PCa; the PCA3 score was significantly higher in this population (p < 0.0001) differently to tPSA (p = 0.87). Moreover, the PCA3 test outperformed the f/tPSA (p = 0.01). The sensitivity (94.9) and specificity (60.1) of the PCA3 test showed a better balance for a threshold of 35 when compared to 20, even if the best result was achieved considering a cutoff of 51, with sensitivity and specificity of 82.1% and 79.3%, respectively. Finally, comparing values of the PCA3 test between two subgroups with increasing Gs (Gs ≤ 6 versus Gs ≥ 7) a significant association between PCA3 score and Gs was found (p = 0.02).ConclusionsThe PCA3 test showed the best diagnostic performance when compared to tPSA and f/tPSA, facilitating the selection of high-risk patients that may benefit from the execution of a saturation prostatic biopsy. Moreover, the PCA3 test showed a prognostic value, as higher PCA3 score values are associated to a greater tumor aggressiveness.

The value of urine derived prostate cancer gene 3 score for predicting the result of prostate biopsy : a meta-analysis

Objective To systematic review the clinical value of urine derived prostate cancer gene 3 (PCA3) scores for predicting the result of prostate biopsy during diagnosing the prostate cancer.Methods Articles related to the value of urine derived PCA3 score for forecasting the result of prostate biopsy during diagnosing the prostate cancer,published from inception to November 2013,were retrieved in the databanks including PubMed (1966-2013),CNKI (1979-2013),EMBASE(1988-2013),and Cochrane liberary.Meta-Disc 1.4 software was used to analyze data.According to the inclusion and exclusion criteria,the literatures were screened.And the quality of included literatures were evaluated.The pooled sensitivity,specificity,the likelihood ratio(LR) were calculated and summary receiver operating characteristic curve(SROC curve) was made.Results A total of 22 articles with 3 060 prostate cancer cases and 5 307 normal or BPH cases were included.Since there was heterogeneity between the studies,the data was calculated by the random effect model.The pooled sensitivity of PCA3 score was 63％ (95％CI:0.61-0.65) and the pooled specificity was 70％ (95％CI:0.69-0.72),respectively.The positive (P-LR) and negative likelihood ratio (N-LR) were 2.38 (95％CI:2.05-2.77) and 0.51 (95％CI:0.46-0.58),respectively.The diagnosis odds ratio (DOR) was 4.88 (95％ CI:3.83-6.21).Summary receiver operating characteristic curve area under curve (SROC AUC) was 0.7445,Q* index was 0.689,respectively.Conclusions The performance of urine derived PCA3 score has higher accuracy of detection than other method in the diagnosis of prostate cancer.It can be a novel and optional non-invasive test and an important adjunct test for predicting the result of prostate biopsy. Key words: Prostate cancer gene 3 score; Prostate cancer; Meta-analysis

Fluctuation in prostate cancer gene 3 (PCA3) score in men undergoing first or repeat prostate biopsies

To evaluate the variability in prostate cancer gene 3 (PCA3) score over time in men with elevated serum prostate-specific antigen (PSA) levels who are undergoing first or repeat prostate biopsy. A total of 360 men from two Italian institutions who had undergone at least two PCA3 assessments were selected. Of these, 97.5% were scheduled for first or repeat prostate biopsy because of elevated PSA level and/or positive digital rectal examination (DRE). We compared the PCA3 scores in men with a negative biopsy (normal parenchyma, benign prostatic hyperplasia [BPH], chronic prostatitis, high-grade prostate intraepithelial neoplasia [HG-PIN]) with those in men with a positive biopsy. We evaluated PCA3 repeated measures biological variability and its possible association with basic patient characteristics (age, family history of prostate cancer, DRE, prostate volume, BPH, prostatitis and HG-PIN). Three different thresholds were used to evaluate the possible changes in risk class: the standard threshold (a PCA3 score of 35), a US Food and Drug Administation-approved PCA3 threshold of 25 and a threshold selected based on our previous research which was a PCA3 score of 50. The PCA3 scores varied significantly (P < 0.001) when comparing men with a negative biopsy with those with a positive biopsy (median [range] PCA3 score: 25 [2-276] vs 43 [7-331]). There was no significant difference in PCA3 scores in men with chronic prostatitis and HG-PIN compared with other men with negative biopsies. The median (range) time between the two PCA3 assessments was 16.2 (3-53.7) months. No association was found between PCA3 repeated measures modifications and age, family history of prostate cancer, DRE, BPH, prostatitis, HG-PIN and use of 5-α-reductase inhibitors. The variability of PCA3 scores on repeated measures confirmed the risk class for about 80% of patients; of the remaining 20% of patients, the risk class was upgraded in two thirds and downgraded in one third. PCA3 score can be considered a stable marker over time in most cases but there is a group of men among whom there is clinically notable risk class change. Further investigation is required to determine the genesis of this phenomenon.

PCA3 and PCA3-Based Nomograms Improve Diagnostic Accuracy in Patients Undergoing First Prostate Biopsy

While now recognized as an aid to predict repeat prostate biopsy outcome, the urinary PCA3 (prostate cancer gene 3) test has also been recently advocated to predict initial biopsy results. The objective is to evaluate the performance of the PCA3 test in predicting results of initial prostate biopsies and to determine whether its incorporation into specific nomograms reinforces its diagnostic value. A prospective study included 601 consecutive patients addressed for initial prostate biopsy. The PCA3 test was performed before ≥12-core initial prostate biopsy, along with standard risk factor assessment. Diagnostic performance of the PCA3 test was evaluated. The three available nomograms (Hansen’s and Chun’s nomograms, as well as the updated Prostate Cancer Prevention Trial risk calculator; PCPT) were applied to the cohort, and their predictive accuracies were assessed in terms of biopsy outcome: the presence of any prostate cancer (PCa) and high-grade prostate cancer (HGPCa). The PCA3 score provided significant predictive accuracy. While the PCPT risk calculator appeared less accurate; both Chun’s and Hansen’s nomograms provided good calibration and high net benefit on decision curve analyses. When applying nomogram-derived PCa probability thresholds ≤30%, ≤6% of HGPCa would have been missed, while avoiding up to 48% of unnecessary biopsies. The urinary PCA3 test and PCA3-incorporating nomograms can be considered as reliable tools to aid in the initial biopsy decision.

Genome-wide Association Study Identifies Genetic Determinants of Urine PCA3 Levels in Men

Prostate cancer gene 3 (PCA3) is a non-coding gene specifically overexpressed in prostate cancer (PCa) that has great potential as a clinical biomarker for predicting prostate biopsy outcome. However, genetic determinants of PCA3 expression level remain unknown. To investigate the association between genetic variants and PCA3 mRNA level, a genome-wide association study was conducted in 1371 men of European descent in the REduction by DUtasteride of prostate Cancer Events trial. First-voided urine specimens containing prostate cells were obtained after digital rectal examination. The PROGENSA PCA3 assay was used to determine PCA3 score in the urinary samples. A linear regression model was used to detect the associations between (single nucleotide polymorphisms) SNPs and PCA3 score under an additive genetic model, adjusting for age and population stratification. Two SNPs, rs10993994 in β-microseminoprotein at 10q11.23 and rs10424878 in kallikrein-related peptidase 2 at 19q13.33, were associated with PCA3 score at genome-wide significance level (P = 1.22 x 10-9 and 1.06 x 10-8, respectively). Men carrying the rs10993994 “T” allele or rs10424878 “A” allele had higher PCA3 score compared with men carrying rs10993994 “C” allele or rs10424878 “G” allele (β = 1.25 and 1.24, respectively). This is the first comprehensive search for genetic determinants of PCA3 score. The novel loci identified may provide insight into the molecular mechanisms of PCA3 expression as a potential marker of PCa.

Clinical Judgment Versus Biomarker Prostate Cancer Gene 3: Which Is Best When Determining the Need for Repeat Prostate Biopsy?

To assess the value of best clinical judgment (BCJ) and the prostate cancer gene 3 (PCA3) assay in guiding the decision to perform a repeat prostate biopsy (PBx) after a previous negative PBx. Using the RAND/UCLA Appropriateness Method, 12 European urologists established recommendations (BCJ) for the appropriateness of PBx according to the prostate-specific antigen level, digital rectal examination findings, number of previous negative PBxs, prostate volume, and life expectancy, with and without consideration of the PCA3 scores. These recommendations were applied to 1024 subjects receiving placebo in the Reduction by Dutasteride of Prostate Cancer Events trial, including men with a previous negative PBx, a baseline prostate-specific antigen level of 2.5-10 ng/mL, and a PCA3 test performed before the protocol-mandated 2- and 4-year repeat PBxs. Three scenarios (ie, BCJ alone, BCJ with PCA3, and the PCA3 score alone) were tested for their ability to reduce the repeat PBx rate versus missing Gleason sum ≥ 7 prostate cancer (PCa). BCJ with PCA3 would have avoided 64% of repeat PBxs compared with 26% for BCJ alone and 55% for PCA3 alone (cutoff score 20). Of 55 PCa cases (Gleason sum ≥ 7), 13 would have been missed using BCJ alone compared with 7 using PCA3 (cutoff score 20) alone and 8 using BCJ plus PCA3. The diagnostic accuracy for Gleason sum ≥ 7 PCa of the BCJ with PCA3 scenario was superior to that of the other scenarios, with a negative predictive value of 99%. Application of the BCJ together with PCA3 testing can reduce the number of repeat PBxs while maintaining the sensitivity to detect Gleason sum ≥ 7 PCa.

PCA3 in the detection and management of early prostate cancer

Although widely used, the value of prostate-specific antigen (PSA) in the detection of prostate cancer is controversial. The percentage of free PSA increases the specificity of PSA, but results are not enough. Prostate cancer gene 3 (PCA3) has been proposed as an option that may complement these markers in the detection and management of early prostate cancer. Our aim has been to review the value of PCA3 as tumor marker. The available results suggest that PCA3 is particularly useful to select in which patients the biopsy should be repeated when the first biopsy was negative. However, some points should be specified with further studies, including the most appropriate PCA3 cutoff level and the significance of a high PCA3 score in patients with negative biopsy. False-negative results are also a conflictive point in the use of PCA3, because prostate cancer, including aggressive tumors, may be present in patients with a low PCA3 score. Probably, a proper interpretation of this test requires its management together with other tests, through multivariate models for the detection of prostate cancer. On the other hand, several studies showed the relation between PCA3 score and Gleason score, and also the utility of PCA3 to select patients for active surveillance. To summarize, the available studies show the utility of PCA3 in the detection and management of early prostate cancer, although some aspects referred to its use need to be retested after further studies to confirm the actual value and the limitations of this test.

Clinical utility of the prostate cancer gene 3 (PCA3) urine assay in Japanese men undergoing prostate biopsy

WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: It is known that a prostate cancer gene 3 (PCA3) urine assay is superior to serum PSA level or PSA-related indices for predicting a positive biopsy result in European and US men. This is the first report on PCA3 in a large cohort of Japanese men. The diagnostic value of the PCA3 score in Japanese men was similar to those reported in European and US men. The study concludes that a combination of PSA density and PCA3 score may be useful for selecting patients who could avoid an unnecessary biopsy. To examine the diagnostic performance of the prostate cancer gene 3 (PCA3) score for prostate cancer in Japanese men undergoing prostate biopsy. This Japanese, multicentre study included 647 Asian men who underwent extended prostate biopsy with elevated prostate-specific antigen (PSA) and/or abnormal digital rectal examination (DRE). Urine samples were collected after DRE. The PCA3 score was determined using a PROGENSA PCA3 assay and correlated with biopsy outcome. Its diagnostic accuracy was compared with that of serum PSA level, prostate volume (PV), PSA density (PSAD), and free/total PSA ratio (f/t PSA). A total of 633 urine samples were successfully analysed (the informative rate was 98%). Median PSA was 7.6 ng/mL. Biopsy revealed cancer in 264 men (41.7%). The PCA3 score for men with prostate cancer was significantly higher than that for men with negative biopsies (median PCA3 score: 49 vs. 18; P < 0.001). The rate of positive biopsy was 16.0% in men with a PCA3 score of <20 and 60.6% in those with a PCA3 score of ≥50. Using a PCA3 score threshold of 35, sensitivity and specificity were 66.5 and 71.6%, respectively. The area under the curve of the PCA3 score was significantly higher than that of the f/t PSA in men with PSA 4-10 ng/mL (0.742 vs 0.647; P < 0.05). In men with PSAD < 0.15 and PCA3 < 20, only three (4.2%) out of 72 men had prostate cancer. The PCA3 score was significantly superior to f/t PSA in predicting a positive biopsy result for prostate cancer in Japanese men with PSA 4-10 ng/mL. The combination of PSAD and PCA3 score may be useful for selecting patients who could avoid an unnecessary biopsy.

Histological chronic prostatitis and high-grade prostate intra-epithelial neoplasia do not influence urinary prostate cancer gene 3 score

What's known on the subject? and What does the study add? While the relationship between PCA3 score and clinical or histological prostatitis was quite proven even in small patient groups, conversely the relationship between PCA3 score and HG-PIN is still under debate. We demonstrated in a large series (432 patients) that histologically documented chronic prostatitis and HG-PIN have similar PCA3 scores to patients with BPH and/or normal parenchyma at biopsy. To determine whether histological chronic prostatitis and high-grade prostate intra-epithelial neoplasia (HG-PIN) influence the prostate cancer gene 3 (PCA3) score in Italian patients with an elevated prostate-specific antigen (PSA) level and a negative digital rectal examination (DRE) who were undergoing a first or repeat prostate biopsy. A urinary PCA3 test was prospectively performed in 432 consecutive patients who were admitted to Gradenigo Hospital (Turin, Italy) between January and December 2011 and scheduled for first or repeat prostate biopsy as a result of an elevated PSA level and negative DRE. A comparison of the PCA3 score and patients with a negative biopsy (normal parenchyma, benign prostatic hyperplasia, chronic prostatitis, HG-PIN) or positive biopsy was performed. PCA3 median (range) scores varied significantly (P < 0.001) in men with a negative vs positive biopsy: 33 (2-212) and 66 (5-324), respectively. By contrast, men with chronic prostatitis and HG-PIN showed no significant difference with respect to PCA3 score compared to other negative biopsy patients. No correlation was found between the number of positive cores for chronic prostatitis, HG-PIN and PCA3 score. Of all patients with a positive biopsy, 23 (20%) of 114 men had a PCA3 score ≤ 35. In total, 79 (40%) of 197 men with a negative biopsy (normal parenchyma and benign prostatic hyperplasia), 24 (37.5%) of 64 men with chronic prostatitis and 19 (39.6%) of 48 men with HG-PIN had a PCA3 score >35. At this early stage of clinical evaluation, cancer specificity of the urinary PCA3 test appears to be maintained in the face of chronic prostatitis and HG-PIN.

Combination of real-time elastography and urine prostate cancer gene 3 (PCA3) detects more than 97% of significant prostate cancers

Objective. The prostate cancer gene 3 (PCA3) score in urine is a promising biomarker for prostate cancer. Real-time elastography (RTE) is a well-documented ultrasound modality. The objective of this study was to evaluate the ability to detect significant cancer foci in the prostate with these methods alone and in combination. Material and methods. From September 2009 to September 2010, 40 patients planned for radical prostatectomy underwent a PCA3 urine test and RTE before operation. A Hitachi EUB-8500 with prostate end-fire transrectal probe was used. The PCA3 score was evaluated with a standard cut-off value of 35. RTE was evaluated in correlation with whole-mount section pathology. Three patients fulfilled the criteria for insignificant prostate cancer and were excluded from the study. Results. The PCA3 score was increased in 26 patients (70%). RTE identified at least one tumour in 33 out of 37 patients (89%). RTE detected the largest tumour in 27 out of 37 patients (73%). More than one cancer was present in 29 patients and RTE identified more than one tumour in 13 of these. The RTE was false positive in four patients. The PCA3 score was increased in three out of four false-negative RTE patients. By combining both methods, 36 out of 37 patients (97%) with significant prostate cancer were detected. Conclusions.The combination of PCA3 score and RTE detected 97% of significant prostate cancers. The combinative use of RTE and PCA3 will be further investigated in an unselected series of men with suspected prostate cancer.

Diagnostic Performance of PCA3 to Detect Prostate Cancer in Men with Increased Prostate Specific Antigen: A Prospective Study of 1,962 Cases

The detection of prostate cancer relies primarily on abnormal digital rectal examination or increased serum prostate specific antigen concentration. However, low positive predictive values result in many men with increased prostate specific antigen and/or suspicious digital rectal examination having a negative biopsy. We investigated the value of the PCA3 (prostate cancer gene 3) urine test in predicting the likelihood of diagnosis of cancer before biopsy. We performed a prospective, community based clinical trial to evaluate PCA3 score before any biopsy. This trial was conducted at 50 urology practices in the United States. Samples were obtained from 1,962 men with increased serum prostate specific antigen (greater than 2.5 ng/ml) and/or abnormal digital rectal examination before transrectal prostate needle biopsy. Study samples (urinary PCA3 and biopsies) were processed and analyzed by a central laboratory. Sensitivity-specificity analyses were conducted. A total of 1,913 urine samples (97.5%) were adequate for PCA3 testing. Of 802 cases diagnosed with prostate cancer 222 had high grade prostatic intraepithelial neoplasia or atypical small acinar proliferation and were suspicious for cancer, whereas 889 cases were benign. The traditional PCA3 cutoff of 35 reduced the number of false-positives from 1,089 to 249, a 77.1% reduction. However, false-negatives (missed cancers) increased significantly from 17 to 413, an increase of more than 2,300%. Lowering the PCA3 cutoff to 10 reduced the number of false-positives 35.4% and false-negatives only increased 5.6%. Urinary PCA3 testing in conjunction with prostate specific antigen has the potential to significantly decrease the number of unnecessary prostate biopsies.

Development and Internal Validation of a Prostate Health Index Based Nomogram for Predicting Prostate Cancer at Extended Biopsy

We developed and validated a Prostate Health Index (Beckman Coulter, Brea, California) based nomogram to predict prostate cancer at extended prostate biopsy. The study population consisted of 729 patients who were scheduled for prostate biopsy following suspicious digital rectal examination and/or increased prostate specific antigen. Total and free prostate specific antigen, percent free-to-total prostate specific antigen, [-2]proPSA and the prostate health index [([-2]proPSA/free prostate specific antigen) × √total prostate specific antigen)] were determined. Logistic regression models were fitted to test prostate cancer predictors. Predictive accuracy estimates of biopsy outcome predictions were quantified. Regression coefficients were used to create a decision making tool to predict prostate cancer. A calibration plot was used to evaluate the extent of overestimating or underestimating the observed prostate cancer rate. Decision curve analysis provided an estimate of the net benefit obtained using the prostate health index based nomogram. Overall 280 of 729 patients (38.4%) were diagnosed with prostate cancer at extended prostate biopsy. On accuracy analyses prostate health index emerged as the most informative predictor of prostate cancer (AUC 0.70) compared to established predictors, such as total prostate specific antigen (0.51) and percent free-to-total prostate specific antigen (0.62). Including the prostate health index in a multivariable logistic regression model based on patient age, prostate volume, digital rectal examination and biopsy history significantly increased predictive accuracy by 7% from 0.73 to 0.80 (p <0.001). Nomogram calibration was good. Decision curve analysis showed that using the prostate health index based nomogram resulted in the highest net benefit. The prostate health index based nomogram can assist clinicians in the decision to perform biopsy by providing an accurate estimation of an individual risk of prostate cancer.