Effect of 5-Alpha Reductase Inhibitors on Magnetic Resonance Imaging and Prostate Cancer Detection.

Concerns exist regarding the effects of 5-alpha reductase inhibitors (5-ARIs) on multipa-rametric magnetic resonance imaging (mpMRI) and clinically significant prostate cancer (csPCa) detection. Our objective is to analyze the effect of 5-ARI on the prostate imaging-reporting and data system (PI-RADS) distribution and csPCa and insignificant PCa (iPCa) detection. Among 2212 men with serum prostate-specific antigen levels of >3.0 ng/mL and/or suspicious digital rectal examinations who underwent mpMRI and targeted and/or systematic biopsies, 120 individuals exposed to 5-ARI treatment for over a year were identified. CsPCa was defined when the grade group (GG) was >2. The overall csPCa and iPCa detection rates were 44.6% and 18.8%, respectively. Since logistic regression revealed independent predictors of PCa, a randomized matched group of 236 individuals was selected for analysis. The PI-RADS distribution was comparable with 5-ARI exposure (p 0.685). The CsPCa detection rates in 5-ARI-naïve men and 5-ARI-exposed men were 52.6% and 47.4%, respectively (p 0.596). IPCa was detected in 37.6 and 62.5%, respectively (p 0.089). The tumor GG distribution based on 5-ARI exposure was similar (p 0.149) to the rates of csPCa and iPCa across the PI-RADS categories. We conclude that exposure to 5-ARI in suspected PCa men did not change the PI-RADS distribution and the csPCa and iPCa detection rates.

Investigating Efficient Risk-Stratified Pathways for the Early Detection of Clinically Significant Prostate Cancer.

Risk-stratified pathways (RSPs) are recommended by the European Association of Uro-logy (EAU) to improve the early detection of clinically significant prostate cancer (csPCa). RSPs can reduce magnetic resonance imaging (MRI) demand, prostate biopsies, and the over-detection of insignificant PCa (iPCa). Our goal is to analyze the efficacy and cost-effectiveness of several RSPs by using sequential stratifications from the serum prostate-specific antigen level and digital rectal examination, the Barcelona risk calculators (BCN-RCs), MRI, and Proclarix™. In a cohort of 567 men with a serum PSA level above 3.0 ng/mL who underwent multiparametric MRI (mpMRI) and targeted and/or systematic biopsies, the risk of csPCa was retrospectively assessed using Proclarix™ and BCN-RCs 1 and 2. Six RSPs were compared with those recommended by the EAU that, stratifying men from MRI, avoided 16.7% of prostate biopsies with a prostate imaging-reporting and data system score of <3, with 2.6% of csPCa cases remaining undetected. The most effective RSP avoided mpMRI exams in men with a serum PSA level of >10 ng/mL and suspicious DRE, following stratifications from BCN-RC 1, mpMRI, and Proclarix™. The demand for mpMRI decreased by 19.9%, prostate biopsies by 19.8%, and over-detection of iPCa by 22.7%, while 2.6% of csPCa remained undetected as in the recommended RSP. Cost-effectiveness remained when the Proclarix™ price was assumed to be below EUR 200.

The Role of Digital Rectal Examination Prostate Volume Category in the Early Detection of Prostate Cancer: Its Correlation with the Magnetic Resonance Imaging Prostate Volume.

PURPOSE: To relate the prostate volume category (PVC) assessed with digital rectal examination (DRE)-small, median, and large-and the prostate volumes (PVs) assessed with magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS). To compare the clinically significant prostate cancer (csPCa) discrimination ability of two predictive models based on DRE-PVC and MRI-PV. MATERIALS AND METHODS: A prospective trial of 2,090 men with prostate-specific antigen >3 ng/mL and/or PCa suspicious DRE were prospectively recruited in 10 centers from Catalonia (Spain), between 2021 and 2022, in whom DRE-PVC was assessed. Pre-biopsy MRI, and 12-core TRUS-random biopsy was always performed after 2- to 6-core TRUS-fusion targeted biopsy of prostate imaging-report and data system >3 lesions. In 370 men (17.7%) the DRE-PVC was unconclusive. Among the 1,720 men finally analyzed the csPCa (grade group >2) detection was 42.4%. RESULTS: The median (interquartile range) of TRUS and MRI-PVs of small prostates were 33 mL (19-37 mL) and 35 mL (23-30 mL), p=0.410; in median prostates they were 51 mL (38-58 mL) and 55 mL (48-63 mL) respectively, p<0.001; in large prostates 80 mL (60-100 mL) and 95 mL (75-118 mL) respectively, p<0.001. The predictive models sharing the MRI-PV and DRE-PVC showed areas under the curves of 0.832 (95% confidence interval [CI], 0.813-0.851) and 0.828 (95% CI, 0.809-0.848) respectively, p=0.632, as well as similar net benefit and clinical utility. CONCLUSIONS: PVC was unconclusive in 17% of DREs. MRI-PV overestimated the TRUS-PV in median and large prostates. The predictive models based on MRI-PV and DRE-PVC showed similar efficacy to predict csPCa. PVC assessed with DRE is helpful to predict the csPCa risk before MRI.

Relationship between Proclarix and the Aggressiveness of Prostate Cancer.

INTRODUCTION: Proclarix is a CE-marked test that provides the risk of clinically significant prostate cancer (csPCa), ranging from 0% to 100%, based on the serum measurement of Thrombospondin-1, cathepsin D, prostate-specific antigen (PSA), and percentage of free PSA in addition to age. We hypothesize that Proclarix could be correlated with PCa aggressiveness. We analyzed the association of this new biomarker with four surrogates of aggressiveness: grade group (GG) in the biopsy, clinical stage, risk of biochemical recurrence after primary treatment of localized PCa, and pathology in the surgical specimen. MATERIAL AND METHODS: This is a retrospective study from 606 men with suspicion of PCa [PSA of ≥ 3.0 ng/mL and/or abnormal digital rectal examination (DRE)], in whom Proclarix was assessed (0-100%). The GG was defined by the International Society of Urological Pathology categories. The TNM was used for clinical staging (cT based on DRE, whereas cN and cM were established with computed tomography and 99-technetium bone scintigraphy). The risk of biochemical recurrence of localized PCa after primary treatment was defined by combining PSA, GG, and cT. Finally, an unfavorable pathology in a surgical specimen was defined as GG > 2 or pT ≥ 3. RESULTS: The median age of the cohort was 67 years old, with a median PSA of 7 ng/mL and a rate of abnormal DRE of 23.3%. CsPCa was detected in 254 men (41.9%), with a median Proclarix of 60.1% compared with 37.3% obtained in patients with insignificant PCa and 20.7% in men without PCa. Among patients with GG > 3, Proclarix was significantly higher (58.2%) than in those with GG of 3 or lower (33.1%, p < 0.001). Men with localized tumors exhibited a Proclarix median of 37.3% compared with those with advanced disease (60.1%, p < 0.001). Proclarix levels among 197 patients with low and intermediate risk of biochemical recurrence were 24.9% and 35.0%, respectively, significantly lower compared with patients with high-risk disease (58.7%, p < 0.001). Unfavorable pathology was observed in 35 patients out of the 79 who underwent radical prostatectomy, with a Proclarix median of 35.7% compared with 23.7% obtained in patients with favorable pathology (p = 0.013). Proclarix and magnetic resonance imaging were independent predictors of the four surrogates of aggressiveness analyzed. CONCLUSION: There is a correlation between Proclarix and the aggressiveness of PCa.

Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review.

MRI can identify suspicious lesions, providing the semi-quantitative risk of csPCa through the Prostate Imaging-Report and Data System (PI-RADS). Predictive models of clinical variables that individualise the risk of csPCa have been developed by adding PI-RADS score (MRI-PMs). Our objective is to analyse the current developed MRI-PMs and define their clinical usefulness. A systematic review was performed after a literature search performed by two independent investigators in PubMed, Cochrane, and Web of Science databases, with the Medical Subjects Headings (MESH): predictive model, nomogram, risk model, magnetic resonance imaging, PI-RADS, prostate cancer, and prostate biopsy. This review was made following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria and studied eligibility based on the Participants, Intervention, Comparator, and Outcomes (PICO) strategy. Among 723 initial identified registers, 18 studies were finally selected. Warp analysis of selected studies was performed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Clinical predictors in addition to the PI-RADS score in developed MRI-PMs were age, PCa family history, digital rectal examination, biopsy status (initial vs. repeat), ethnicity, serum PSA, prostate volume measured by MRI, or calculated PSA density. All MRI-PMs improved the prediction of csPCa made by clinical predictors or imaging alone and achieved most areas under the curve between 0.78 and 0.92. Among 18 developed MRI-PMs, 7 had any external validation, and two RCs were available. The updated PI-RADS version 2 was exclusively used in 11 MRI-PMs. The performance of MRI-PMs according to PI-RADS was only analysed in a single study. We conclude that MRI-PMs improve the selection of candidates for prostate biopsy beyond the PI-RADS category. However, few developed MRI-PMs meet the appropriate requirements in routine clinical practice.

Multiparametric MRI for Staging of Prostate Cancer: A Multicentric Analysis of Predictive Factors to Improve Identification of Extracapsular Extension before Radical Prostatectomy.

The correct identification of extracapsular extension (ECE) of prostate cancer (PCa) on multiparametric magnetic resonance imaging (mpMRI) is crucial for surgeons in order to plan the nerve-sparing approach in radical prostatectomy. Nerve-sparing strategies allow for better outcomes in preserving erectile function and urinary continence, notwithstanding this can be penalized with worse oncologic results. The aim of this study was to assess the ability of preoperative mpMRI to predict ECE in the final prostatic specimen (PS) and identify other possible preoperative predictive factors of ECE as a secondary end-point. We investigated a database of two high-volume hospitals to identify men who underwent a prostate biopsy with a pre-biopsy mpMRI and a subsequent RP. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI in predicting ECE were calculated. A univariate analysis was performed to find the association between image staging and pathological staging. A multivariate logistic regression was performed to investigate other preoperative predictive factors. A total of 1147 patients were selected, and 203 out of the 1147 (17.7%) patients were classified as ECE according to the mpMRI. ECE was reported by pathologists in 279 out of the 1147 PS (24.3%). The PPV was 0.58, the NPV was 0.72, the sensitivity was 0.32, and the specificity was 0.88. The multivariate analysis found that PSA (OR 1.057, C.I. 95%, 1.016-1.100, p = 0.006), digital rectal examination (OR 0.567, C.I. 95%, 0.417-0.770, p = 0.0001), ratio of positive cores (OR 9.687, C.I. 95%, 3.744-25.006, p = 0.0001), and biopsy grade in prostate biopsy (OR 1.394, C.I. 95%, 1.025-1.612, p = 0.0001) were independent factors of ECE. The mpMRI has a great ability to exclude ECE, notwithstanding that low sensitivity is still an important limitation of the technique.

Comparison of Proclarix, PSA Density and MRI-ERSPC Risk Calculator to Select Patients for Prostate Biopsy after mpMRI.

Tools to properly select candidates for prostate biopsy after magnetic resonance imaging (MRI) have usually been analyzed in overall populations with suspected prostate cancer (PCa). However, the performance of these tools can change regarding the Prostate Imaging-Reporting and Data System (PI-RADS) categories due to the different incidence of clinically significant PCa (csPCa). The objective of the study was to analyze PSA density (PSAD), MRI-ERSPC risk calculator (RC), and Proclarix to properly select candidates for prostate biopsy regarding PI-RADS categories. We performed a head-to-head analysis of 567 men with suspected PCa, PSA > 3 ng/mL and/or abnormal rectal examination, in whom two to four core transrectal ultrasound (TRUS) guided biopsies to PI-RADS ≥ three lesions and/or 12-core TRUS systematic biopsies were performed after 3-tesla mpMRI between January 2018 and March 2020 in one academic institution. The overall detection of csPCa was 40.9% (6% in PI-RADS < 3, 14.8% in PI-RADS 3, 55.3% in PI-RADS 4, and 88.9% in PI-RADS 5). MRI-ERSPC model exhibited a net benefit over PSAD and Proclarix in the overall population. Proclarix outperformed PSAD and MRI-ERSPC RC in PI-RADS ≤ 3. PSAD outperformed MRI-ESRPC RC and Proclarix in PI-RADS > 3, although none of them exhibited 100% sensitivity for csPCa in this setting. Therefore, tools to properly select candidates for prostate biopsy after MRI must be analyzed regarding the PI-RADS categories. While MRI-ERSPC RC outperformed PSAD and Proclarix in the overall population, Proclarix outperformed in PI-RADS ≤ 3, and no tool guaranteed 100% detection of csPCa in PI-RADS 4 and 5.

Proclarix, A New Biomarker for the Diagnosis of Clinically Significant Prostate Cancer: A Systematic Review.

INTRODUCTION: Multiparametric magnetic resonance imaging (mpMRI) has improved the early detection of clinically significant prostate cancer (csPCa). However, an appropriate selection of men for mpMRI or prostate biopsy is still challenging, which is why new biomarkers or predictive models are recommended to determine those patients who will benefit from prostate biopsy. Proclarix is a new test that provides the risk of csPCa based on thrombospondin-1 (THBS1), cathepsin D (CTSD), prostate-specific antigen (PSA), and percentage of free PSA (%fPSA), as well as age. This systematic review analyzes the current clinical status of Proclarix and future development. EVIDENCE ACQUISITION: A systematic review of the literature was carried out by two independent reviewers. The Medical Subject Heading (MeSH) terms 'prostate', 'thrombospondin-1', 'cathepsin-D' and 'Proclarix' were used. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the Population, Intervention, Comparison and Outcomes (PICO) selection criteria were followed. Finally, four articles analyzed the clinical usefulness of Proclarix. EVIDENCE SYNTHESIS: Proclarix has been developed in men with PSA levels between 2 and 10 ng/mL, normal digital rectal examination (DRE), and prostate volume (PV)​ ≥ 35 cm3. Proclarix is associated with the PCa grade group and is more effective than %fPSA in detecting csPCa. Two studies analyzed the efficacy of Proclarix in men undergoing guided and systematic biopsies, obtaining similar results to PSA density. CONCLUSION: Initial studies have shown the potential benefit of Proclarix in patients with specific characteristics. Future studies are needed to verify the clinical usefulness of Proclarix in men with suspected PCa before and after mpMRI.

Application of One-Step Nucleic Acid Amplification (OSNA) in different cancer entities and usefulness in prostate cancer: a systematic review.

BACKGROUND: Lymph node (LN) status is a key prognostic factor in the decision-making process of different cancer entities, including prostate cancer (PCa). Sectioning and haematoxylin and eosin (H&E) staining technique remain the gold standard for the evaluation of LN metastases despite some limitations, especially low sensitivity in detecting an accurate tumour burden within the LN, as well as a subjective and time-consuming result. One-step nucleic acid amplification (OSNA) quantifies mRNA copies of cytokeratin 19 (CK19) in a fast, objective, automated, and reproducible way, raising a general interest to explore its utility for lymphatic metastasis identification in different malignancies. METHODS: To present the latest evidence related to the detection of LN metastases in several tumours by using OSNA compared with the conventional H&E method, a systematic review of articles published since March 2021 was conducted using PubMed, Cochrane Library, and Web of Science databases. References from primary papers and review articles were checked to obtain further potential studies. Our procedure for evaluating records identified during the literature search followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses criteria. With the aim to design and justify future clinical routine use of OSNA in PCa, novel PCa evidence has been included in this review for the first time. RESULTS: Twenty five studies were included. LN from six different groups of tumours: breast, gastrointestinal, gynecological, lung, head and neck and prostate cancers has been assessed. OSNA was compared with post-operative formalin-fixed paraffin-embedded tissue sections with H&E staining as the reference standard. Contingency tables were created, and concordance rate, sensitivity, specificity and predictive values were reported. Seventeen studies analysed the discordant cases using different techniques. CONCLUSION: OSNA method has a high diagnostic accuracy for the detection of LN metastases in several CK19 expressing tumours. Available evidence might encourage future investigations about its usage in PCa patients to improve LN staging and prognosis.

The position of urethrovesical anastomosis after robotic radical prostatectomy assessed by MRI predicts early functional recovery: A cohort analyses from a randomized clinical trial.

PURPOSE: Functional and anatomical changes associated with prostate removal coincide with alterations in pelvic structures. Posterior rhabdosphincter reconstruction was designed to improve urinary continence after radical prostatectomy. The aim of this study was to determine magnetic resonance anatomic predictors of urinary recovery after radical prostatectomy, and to assess their relation to the type of reconstruction. MATERIAL AND METHODS: Forty patients were randomly selected from a trial (NCT03302169). Two independent radiologists determined the situation of the anastomosis in the pelvis according to MRI performed a month after the radical prostatectomy: vertical situation assessed as the distance to the line coccyx-inferior pubic margin (ACPv) and anteroposterior situation as the distance from the pubis (Distance A), and from the coccyx (Distance B). RESULTS: The Pearson correlation of ACPv, Distance A, and B between readers were 0.975, 0.940, and 0.711, p < 0.001. Patients with the reconstruction presented more cephalic situation of the anastomosis (higher ACPv) than patients with standard reconstruction technique. A multivariate analysis was performed including age, BMI, prostate volume, PRRS, and the MRI parameters. ACPv and Distance B were the only two independent predictors of no need for any urinary protection at 6 months after the surgery. CONCLUSIONS: This is the first study that suggests positional differences according to the type of reconstruction after radical prostatectomy related to early urinary recovery. Magnetic resonance measurements to determine anastomosis positioning are reliable and have a strong correlation between readers. Anatomic MRI features are independent predictors of urinary recovery after robotic radical prostatectomy.

How to implement magnetic resonance imaging before prostate biopsy in clinical practice: nomograms for saving biopsies.

PURPOSE: To combine multiparametric MRI (mpMRI) findings and clinical parameters to provide nomograms for diagnosing different scenarios of aggressiveness of prostate cancer (PCa). METHODS: A cohort of 346 patients with suspicion of PCa because of abnormal finding in digital rectal examination (DRE) and/or high prostate specific antigen (PSA) level received mpMRI prior to prostate biopsy (PBx). A conventional 12-core transrectal PBx with two extra cores from suspicious areas in mpMRI was performed by cognitive fusion. Multivariate logistic regression analysis was performed combining age, PSA density (PSAD), DRE, number of previous PBx, and mpMRI findings to predict three different scenarios: PCa, significant PCa (ISUP-group ≥ 2), or aggressive PCa (ISUP-group ≥ 3). We validate models by ROC curves, calibration plots, probability density functions (PDF), and clinical utility curves (CUC). Cut-off probabilities were estimated for helping decision-making in clinical practice. RESULTS: Our cohort showed 39.6% incidence of PCa, 32.6% of significant PCa, and 23.4% of aggressive PCa. The AUC of predictive models were 0.856, 0.883, and 0.911, respectively. The PDF and CUC showed 11% missed diagnoses of significant PCa (35 cases of 326 significant PCa expected in 1000 proposed Bx) when choosing < 18% as the cutoff of probability for not performing PBx; the percentage of saved PBx was 47% (474 avoided PBx in 1000 proposed). CONCLUSION: We developed clinical and mpMRI-based nomograms with a high discrimination ability for three different scenarios of PCa aggressiveness (https://urostatisticalsolutions.shinyapps.io/MRIfusionPCPrediction/). Specific clinical cutoff points allow us to save a high number of PBx with a minimum of missed diagnoses.

The role of negative magnetic resonance imaging: can we safely avoid biopsy in P.I.-R.A.D.S. 2 as in P.I.-R.A.D.S. 1?

Purpose: It remains unclear whether patients with prostate cancer suspicion and negative magnetic resonance imaging (M.R.I.) can safely obviate biopsy. The purpose of this study was to assess the clinical negative predictive value (N.P.V.) of M.R.I. in excluding prostate cancer. The secondary end-point was to compare N.P.V. to detect significant prostate cancer of M.R.I.The secondary end-point was to compare N.P.V. to detect significant prostate cancer in M.R.I. classified as P.I.-R.A.D.S.1 and as P.I.-R.A.D.S.2 Methods: From December 2012 to January 2017, 1128 M.R.I.s were performed consecutively due to prostate cancer clinical suspicion. The absence of suspicious and presence of low-risk areas were considered as negative M.R.I., P.I.-R.A.D.S.1 and 2. Biopsy results were compared according to P.I.-R.A.D.S. classification. The clinically significant disease was defined as International Society of Urological Pathology group higher than 1. Results: Two hundred and twenty-two (20%) M.R.I.s didn't highlight targetable imaging suspicious areas, which were recorded as negative tests: 130 (59%) P.I.-R.A.D.S.1 and 92 (41%) P.I.-R.A.D.S.2. Detection of clinically significant prostate cancer in at least one biopsy core was higher in the P.I.-R.A.D.S.2 group, 9% (8/92) vs 3% (4/130), p = 0.047. The N.P.V. in biopsy-naïve men and P.I.-R.A.D.S.1 was 95% for significant disease, while in patients subjected to repeated biopsies and P.I.-R.A.D.S.1, the N.P.V. found was 99%. Those rates differ from the P.I.-R.A.D.S.2 group: N.P.V. in biopsy-naïve patients was 84%, and 95% in repeated biopsy. Conclusions: P.I.-R.A.D.S.2 shouldn't be considered as a negative M.R.I. A biopsy cannot be routinely omitted in biopsy-naïve men with clinical suspicion of cancer and a low-suspicious area in M.R.I., giving the possibility of missing clinically significant tumors.

Serum Testosterone Levels in Prostate Cancer Patients Undergoing Luteinizing Hormone-Releasing Hormone Agonist Therapy.

BACKGROUND: Serum testosterone measurement is recommended to assess the efficacy of androgen deprivation therapy (ADT) and to diagnose castration resistance in patients with prostate cancer (PCa). Currently, the accepted castrate level of serum testosterone is 50 ng/dL. Liquid chromatography and tandem mass spectrometry (LC MSMS) is the appropriate method to measure testosterone, especially at low levels. However, worldwide, chemiluminescent assays (CLIAs) are used in clinical laboratories, despite their lack of accuracy and reproducibility, because they are automatable, fast, sensitive, and inexpensive. MATERIALS AND METHODS: We compared serum testosterone levels measured using LC MSMS and CLIAs in 126 patients with PCa undergoing luteinizing hormone-releasing hormone (LHRH) agonist therapy. RESULTS: The median serum testosterone level was 14.0 ng/dL (range, 2.0-67.0 ng/dL) with LC MSMS and 31.9 ng/dL (range, 10.0-91.6 ng/dL) with CLIA (P < .001). The serum testosterone levels, measured using LC MSMS, were < 20 ng/dL in 83 patients (65.9%), 20 to 50 ng/dL in 40 (31.7%), and > 50 ng/dL in 3 patients (2.4%). These ranges were found in 34 (27%), 72 (57.1%), and 20 (15.9%) patients when testosterone was measured using CLIA (P < .001). The castrate level of serum testosterone using LC MSMS and CLIA was 39.8 ng/dL (95% confidence interval [CI], 37.1-43.4 ng/dL) and 66.5 ng/dL (95% CI, 62.3-71.2 ng/dL), respectively. CONCLUSION: We found that CLIA overestimated the testosterone levels in PCa patients undergoing LHRH agonist therapy. Thus, the castration level was incorrectly considered inadequate with CLIA in almost 15% of patients. The true castration level of serum testosterone using an appropriate method is < 50 ng/dL.

Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer.

Rapid and reliable diagnosis of prostate cancer (PCa) is highly desirable as current used methods lack specificity. In addition, identification of PCa biomarkers that can classify patients into high- and low-risk groups for disease progression at early stage will improve treatment decision-making. Here, we describe a set of protein-combination panels in urinary extracellular vesicles (EVs), defined by targeted proteomics and immunoblotting techniques that improve early non-invasive detection and stratification of PCa patients.We report a two-protein combination in urinary EVs that classifies benign and PCa patients (ADSV-TGM4), and a combination of five proteins able to significantly distinguish between high- and low-grade PCa patients (CD63-GLPK5-SPHM-PSA-PAPP). Proteins composing the panels were validated by immunohistochemistry assays in tissue microarrays (TMAs) confirming a strong link between the urinary EVs proteome and alterations in PCa tissues. Moreover, ADSV and TGM4 abundance yielded a high diagnostic potential in tissue and promising TGM4 prognostic power. These results suggest that the proteins identified in urinary EVs distinguishing high- and low grade PCa are a reflection of histological changes that may be a consequence of their functional involvement in PCa development. In conclusion, our study resulted in the identification of protein-combination panels present in urinary EVs that exhibit high sensitivity and specificity for PCa detection and patient stratification. Moreover, our study highlights the potential of targeted proteomic approaches-such as selected reaction monitoring (SRM)-as diagnostic assay for liquid biopsies via urinary EVs to improve diagnosis and prognosis of suspected PCa patients.

Hormonal response recovery after long-term androgen deprivation therapy in patients with prostate cancer.

OBJECTIVE: The aim of this study was to evaluate hormonal recovery after cessation of androgen deprivation therapy (ADT) in a group of elderly prostate cancer patients. MATERIALS AND METHODS: Forty patients with locally advanced or metastatic prostate cancer, with a mean age of 71.5 years [95% confidence interval (CI) 69.1-73.9], were treated with ADT for a mean duration of 74.6 months (95% CI 59.7-89.5 months). Mean follow-up time after ADT cessation was 36.5 months (95% CI 30.6-42.3 months). Serum testosterone and luteinizing hormone (LH) were determined at 6 month intervals after ADT cessation. RESULTS: After 18 months of follow-up, all patients had recovered normal LH levels, while 38% of patients still presented castration levels of testosterone (< 50 ng/dl). A multivariate analysis was performed to find factors related to testosterone recovery (testosterone >50 ng/dl). Neither age at start of ADT nor clinical stage reached statistical significance. Only time under ADT was correlated with testosterone recovery (p = .031). Kaplan-Meier curves were obtained. Mean time for testosterone recovery was 14.5 months (95% CI 6.5-22.6 months) in patients treated with ADT for less than 60 months compared to 29.3 months (95% CI 19.6-39.1 months) in patients treated with ADT for more than 60 months (log-rank p = .029). CONCLUSIONS: Age did not correlate with testosterone recovery in a group of elderly prostate cancer patients in whom ADT was stopped. Testosterone recovery after ADT cessation was significantly correlated with time under ADT treatment. Significant implications related to economic aspects of the dosage schedule may be considered.

Clinical Significance of Proliferative Inflammatory Atrophy in Negative Prostatic Biopsies.

PURPOSE: To analyze the association between prostatic proliferative inflammatory atrophy finding in negative prostate biopsies and future detection of prostate cancer (PCa) and its aggressiveness in men subjected to repeat biopsies, due to persistent suspicion of PCa. MATERIALS AND METHODS: Prospective and observational study of 474 men scheduled to repeated PBs. Assessment of PIA and its extension in the previous biopsy. PCa detection rate and tumor aggressiveness. Age, serum total PSA, free PSA, percent free PSA (%fPSA), digital rectal exam (DRE), prostate volume (PV), PSA density (PSAD), PSA kinetics (PSAV and PSADT) findings of PIA and HGPIN, and number of affected cores in previous PBs were included in the univariate and multivariate analysis. Aggressive tumors were considered when any Gleason pattern 4 was found. RESULTS: PCa was detected in 133 men (28.1%). Age, serum total PSA, %fPSA, PV, PSAD, PSAV, PSADT, and PIA finding were significantly associated to PCa detection. However, only age, OR: 1.06 (95%CI: 1.03-1.10), P < 0.01; DRE, OR: 1.76 (95%CI: 1.05-2.92), P = 0.03; %fPSA, OR: 0.96 (95%CI: 0.93-0.99), P = 0.03; PV, OR: 0.98 (95%CI: 0.97-0.99) and PIA finding, OR: 0.49 (95%CI: 0.29-0.83), P < 0.01, were independent predictors of PCa detection. PCa was found in 18% of 159 men with previous PIA finding while in 33% of 315 men without previous PIA (P < 0.01). None of the studied parameters including PIA in the previous biopsy were related with subsequent PCa aggressiveness. CONCLUSIONS: PIA finding in negative biopsies correlates with a decreased frequency of detecting PCa in men with persistent suspicion of PCa. The aggressiveness of future detected tumors was not associated with previous PIA finding. Prostate 76:1501-1506, 2016. © 2016 Wiley Periodicals, Inc.

Clinical significance of proliferative inflammatory atrophy finding in prostatic biopsies.

BACKGROUND: Proliferative inflammatory atrophy (PIA) has been involved in prostatic carcinogenesis. However, little is known about the clinical significance of a PIA finding in prostatic biopsies (PBs). The aim of this study is to determine the incidence of prostate inflammatory atrophy (PIA) in prostate biopsies (PBs), its association to high-grade prostatic intraepithelial neoplasia (HGPIN), prostate cancer (PCa), and tumor aggressiveness. METHODS: Prospective and observational study of PIA lesion in 528 extended PBs and 200 radical prostatectomy specimens (RPS). OUTCOME MEASUREMENTS: PIA, HGPIN, PCa incidence, Gleason score, clinical and pathologic tumor stage and insignificant tumor rate. Univariate and multivariate analysis. RESULTS: Overall incidence of PIA and HGPIN was 30.3% and 54%. In RPS, the incidence was 30.5% and 72%, respectively. No significant association was found between PIA and HGPIN. Overall PCa detection rate in PBs was 38.1%. PCa was found in 27.5% PBs with PIA and 42.7% of those without PIA, P < 0.001. In contrast, PCa was detected in 50.9% of PBs with HGPIN and 23% of those without HGPIN, P = 0.001. Multivariate analysis revealed that PIA decreased the risk of PCa, OR:0.59 (95%CI:0.37-0.95), P = 0.029, while HGPIN increased OR:3.16 (95%CI:2.04-4.90), P = 0.001. PIA was not related to Gleason grade and clinical stage, however it was associated to an insignificant tumors increase, OR:3.08 (95%CI:1.09-8.7), P = 0.033. The information in RPS suggests that PIA is associated with less aggressive tumors and a higher probability of insignificant tumors. CONCLUSIONS: PIA is present in one third of PBs, HGPIN in one half of them, and no association exists between both lesions. Contrary to HGPIN, PIA finding is associated to lower risk of PCa detection. Tumors accompanying PIA seem to be less aggressive and have a greater probability of being insignificant.

[Current role of protatic specific antigen (PSA) and its by-products in the diagnosis of prostate cancer]. / Papel actual del antígeno prostático específico (PSA) y sus derivados en el diagnóstico del cáncer de próstata.

Incorporation of prostatic specific antigen (PSA) to clinical practice was a revolution in the diagnosis and modified the epidemiology of prostate cancer (PCa). Although it lacks of many characteristics of an ideal tumor marker, it is the marker most used for diagnosis and follow up of any kind of cancer. It represents the best clinical tool we have available today for screening and staging of PCa. On the contrary, its greatest limitation is the lack of tumor specificity. The use of PSA by-products and molecular isoforms tries to solve, at least partially, its limitations. Indeed, the use of FreePSA ratio (%fPSA) ad PSA density (PSAD) increase significantly the specificity of the diagnostic test and, the use of derivatives that evaluate time kinetics of PSA (PSA velocity (PSAV) and PSA doubling time (PSADT) represents a very useful tool for prognosis estimation during treatment and follow up of the disease. The greatest advance over the last years comes from the analysis of the predecessor isoform (-2) pPSA and the phi Index. Both markers have demonstrated to improve the sensitivity and specificity results obtained to date, resulting in a decrease of unnecessary biopsies. Probably, with the ongoing development of new markers for PCa , the role of PSA on disease diagnosis and staging would be modified in a few years.

Papel actual del antígeno prostático específico (PSA) y sus derivados en el diagnóstico del cáncer de próstata / Current role of protatic specific antigen (PSA) and its by-products in the diagnosis of prostate cancer

La incorporación del antígeno prostático específico (PSA) a la clínica revolucionó el diagnóstico y modificó la epidemiología del cáncer de próstata (CaP). Aunque le faltan muchas de las características de un marcador tumoral ideal, es el marcador más usado para el diagnóstico y seguimiento de cualquier tipo cáncer. Representa la mejor herramienta clínica de las que disponemos en la actualidad para el cribado y estadificación del CaP. Por contra, la mayor limitación que presenta el PSA es su falta de especificidad tumoral. El empleo de los derivados y de las isoformas moleculares del PSA trata de solventar, al menos en parte, sus limitaciones. De hecho, la utilización del cociente del PSA libre (%fPSA) y de la densidad del PSA (PSAD) aumenta de forma significativa la especificidad del test en el diagnóstico y, el uso de los derivados que evalúan la cinética temporal del PSA (velocidad del PSA (PSAV) y tiempo de duplicación del PSA (PSADT)) representan herramientas de gran utilidad para estimar el pronóstico durante el tratamiento y seguimiento de la enfermedad. El mayor avance que se ha producido en los últimos años ha venido del análisis de la isoforma precursora (-2)pPSA y del índice phi. Ambos marcadores han demostrado mejorar los resultados de sensibilidad y especificidad obtenidos hasta ahora, ocasionando una disminución de biopsias innecesarias. Es probable que con el desarrollo de nuevos marcadores para el CaP que está habiendo, en pocos años se modifique el papel que el PSA tiene en el diagnóstico y en la estadificación de la enfermedad

Incorporation of prostatic specific antigen (PSA) to clinical practice was a revolution in the diagnosis and modified the epidemiology of prostate cancer (PCa). Although it lacks of many characteristics of an ideal tumor marker, it is the marker most used for diagnosis and follow up of any kind of cancer. It represents the best clinical tool we have available today for screening and staging of PCa. On the contrary, its greatest limitation is the lack of tumor specificity. The use of PSA by-products and molecular isoforms tries to solve, at least partially, its limitations. Indeed, the use of FreePSA ratio (%fPSA) ad PSA density (PSAD) increase significantly the specificity of the diagnostic test and, the use of derivatives that evaluate time kinetics of PSA (PSA velocity (PSAV) and PSA doubling time (PSADT)) represents a very useful tool for prognosis estimation during treatment and follow up of the disease. The greatest advance over the last years comes from the analysis of the predecessor isoform (-2) pPSA and the phi Index. Both markers have demonstrated to improve the sensitivity and specificity results obtained to date, resulting in a decrease of unnecessary biopsies. Probably, with the ongoing development of new markers for PCa , the role of PSA on disease diagnosis and staging would be modified in a few years