Our goal was to establish two new predictive models of prostate cancer to determine whether to require a prostate biopsy when the prostate-specific antigen level is in the diagnostic gray zone. A retrospective analysis of 197 patients undergoing prostate biopsy with prostate-specific antigens between 4 and 10 ng ml^-1 was conducted. Of these, 47 patients were confirmed to have cancer, while the remaining 150 patients were diagnosed with benign prostate disease after examining biopsy pathology. Two multivariate logistic regression models were established including age, prostate volumes, free/total prostate-specific antigen ratio, and prostate-specific antigen density using SPSS 19.0 to obtain the predicted probability and Logit P, and then, two receiver operating characteristic (ROC) curves were drawn to obtain the best cutoff value for prostate biopsy: one for the group of all the prostate cancers and one for the group of clinically significant prostate cancers. The best cutoff value for prostate biopsy was 0.25 from the multivariate logistic regression ROC curve model of all the prostate cancers, which gave a sensitivity of 75.4% and a specificity of 75.8%. The best cutoff value for prostate biopsy was 0.20 from the multivariate logistic regression model of clinically significant prostate cancers, which gave a sensitivity of 76.7% and a specificity of 80.1%. We identified the best cutoff values for prostate biopsy (0.25 for all prostate cancers and 0.20 for clinically significant prostate cancers) to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone.
Aged ; Biopsy ; Humans ; Male ; Middle Aged ; Models, Theoretical ; Predictive Value of Tests ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/pathology* ; Sensitivity and Specificity

Prostate cancer (PCa) risk calculators (RCs) with prostate-specific antigen (PSA) and other risk factors can greatly improve the accurate prediction of potential risk of PCa compared to PSA. The European Randomized Study of Screening for PCa Risk Calculator (ERSPC-RC) and the Prostate Cancer Prevention Trial Risk Calculator (PCPT-RC) are developed on the Western population. However, the Western RCs showed limited diagnostic efficacy in the Eastern Asian population, mainly due to racial differences between the two populations. We aimed to review the application of Western RCs and Eastern Asian RCs in Eastern Asian cohorts and to identify the characteristics and efficacy of these RCs.
Aged ; Early Detection of Cancer ; Asia, Eastern ; Humans ; Male ; Middle Aged ; Models, Theoretical ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/diagnosis* ; Risk Assessment ; Risk Factors

Biochemical recurrence (BCR) is important for measuring the oncological outcomes of patients who undergo radical prostatectomy (RP). Whether transurethral resection of the prostate (TURP) has negative postoperative effects on oncological outcomes remains controversial. The primary aim of our retrospective study was to determine whether a history of TURP could affect the postoperative BCR rate. We retrospectively reviewed patients with prostate cancer (PCa) who had undergone RP between January 2009 and October 2017. Clinical data on age, prostate volume, serum prostate-specific antigen levels (PSA), biopsy Gleason score (GS), metastasis stage (TNM), D'Amico classification, and American Society of Anesthesiologists (ASA) classification were collected. Statistical analyses including Cox proportional hazard models and sensitivity analyses which included propensity score matching, were performed, and the inverse-probability-of-treatment-weighted estimator and standardized mortality ratio-weighted estimator were determined. We included 1083 patients, of which 118 had a history of TURP. Before matching, the non-TURP group differed from the TURP group with respect to GS (P= 0.047), prostate volume (mean: 45.19 vs 36.00 ml, P < 0.001), and PSA level (mean: 29.41 vs 15.11 ng ml^-1, P= 0.001). After adjusting for age, PSA level, T stage, N stage, M stage, and GS, the TURP group showed higher risk of BCR (hazard ratio [HR]: 2.27, 95% confidence interval [CI]: 1.13-3.94, P= 0.004). After matching (ratio 1:4), patients who underwent TURP were still more likely to develop BCR according to the adjusted propensity score (HR: 2.00, 95% CI: 1.05-3.79, P= 0.034). Among patients with PCa, those with a history of TURP were more likely to develop BCR after RP.
Aged ; Humans ; Male ; Middle Aged ; Neoplasm Grading ; Neoplasm Recurrence, Local/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/surgery* ; Retrospective Studies ; Risk Factors ; Transurethral Resection of Prostate/adverse effects*

Albizzia julibrissin (AJ) is an herbal medicine that shows low toxicity, promotes promoting blood circulation and mitigates the inflammation and has mild side effects. Benign prostate hyperplasia (BPH) is one of the most common diseases that occurs in older males and often results in lower urinary tract symptoms. This study was conducted to evaluate the protective effect of AJ against BPH using LNCaP cells and Sprague Dawley rats treated with testosterone. Treatment with AJ extract reduced the expression of androgen receptor (AR) and prostate-specific antigen (PSA) in vitro. In vivo, rats were divided into 6 groups: 1 (Normal Control); 2 (Testosterone propionate (TP) alone); 3 (TP + finasteride); 4 (TP + AJ 10 mg/kg); 5 (TP + AJ 50 mg/kg); 6 (TP + AJ 300 mg/kg). The groups treated with AJ showed reduced the relative prostate weights and BPH-related proteins were altered, with decreased AR, PSA and proliferating cell nuclear antigen (PCNA) observed by western blot. Histopathological analysis revealed the therapeutic effect of AJ, with a decreased thickness of epithelial cells and reduced level of PCNA and 5α-reductase type 2. These results suggest that AJ extract could ameliorate testosterone-induced benign prostatic hyperplasia.
Albizzia ; Animals ; Blood Circulation ; Blotting, Western ; Diethylpropion ; Epithelial Cells ; Herbal Medicine ; Humans ; Hyperplasia ; In Vitro Techniques ; Inflammation ; Lower Urinary Tract Symptoms ; Male ; Proliferating Cell Nuclear Antigen ; Prostate ; Prostate-Specific Antigen ; Prostatic Hyperplasia ; Rats ; Rats, Sprague-Dawley ; Receptors, Androgen ; Testosterone ; Weights and Measures

Risk prediction models including the Prostate Health Index (phi) for prostate cancer have been well established and evaluated in the Western population. The aim of this study is to build phi-based risk calculators in a prostate biopsy population and evaluate their performance in predicting prostate cancer (PCa) and high-grade PCa (Gleason score ≥7) in the Chinese population. We developed risk calculators based on 635 men who underwent initial prostate biopsy. Then, we validated the performance of prostate-specific antigen (PSA), phi, and the risk calculators in an additional observational cohort of 1045 men. We observed that the phi-based risk calculators (risk calculators 2 and 4) outperformed the PSA-based risk calculator for predicting PCa and high-grade PCa in the training cohort. In the validation study, the area under the receiver operating characteristic curve (AUC) for risk calculators 2 and 4 reached 0.91 and 0.92, respectively, for predicting PCa and high-grade PCa, respectively; the AUC values were better than those for risk calculator 1 (PSA-based model with an AUC of 0.81 and 0.82, respectively) (all P < 0.001). Such superiority was also observed in the stratified population with PSA ranging from 2.0 ng ml^-1to 10.0 ng ml^-1. Decision curves confirmed that a considerable proportion of unnecessary biopsies could be avoided while applying phi-based risk calculators. In this study, we showed that, compared to risk calculators without phi, phi-based risk calculators exhibited superior discrimination and calibration for PCa in the Chinese biopsy population. Applying these risk calculators also considerably reduced the number of unnecessary biopsies for PCa.
Aged ; Asian People/statistics & numerical data* ; Biopsy ; China ; Humans ; Male ; Neoplasm Grading ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/pathology* ; Risk Assessment/methods*

This study compared the diagnostic efficacy of transrectal ultrasound (TRUS)-guided prostate biopsy (TRBx) and transperineal prostate biopsy (TPBx) in patients with suspected prostate cancer (PCa). We enrolled 2962 men who underwent transrectal (n = 1216) or transperineal (n = 1746) systematic 12-core prostate biopsy. Clinical data including age, prostate-specific antigen (PSA) level, and prostate volume (PV) were recorded. To minimize confounding, we performed propensity score-matching analysis. We measured and compared PCa detection rates between TRBx and TPBx, which were stratified by clinical characteristics and Gleason scores. The effects of clinical characteristics on PCa detection rate were assessed by logistic regression. For all patients, TPBx detected a higher proportion of clinically significant PCa (P < 0.001). Logistic regression analyses illustrated that PV had a smaller impact on PCa detection rate of TPBx compared with TRBx. Propensity score-matching analysis showed that the detection rates in TRBx were higher than those in TPBx for patients aged >- 80 years (80.4% vs 56.5%, P = 0.004) and with PSA level 20.1-100.0 ng ml^-1 (80.8% vs 69.1%, P = 0.040). In conclusion, TPBx was associated with a higher detection rate of clinically significant PCa than TRBx was; however, because of the high detection rate at certain ages and PSA levels, biopsy approaches should be optimized according to patents' clinical characteristics.
Adult ; Age Factors ; Aged ; Aged, 80 and over ; Biopsy/methods* ; Humans ; Logistic Models ; Male ; Middle Aged ; Neoplasm Grading ; Perineum ; Propensity Score ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/pathology* ; Rectum

Recommendations for managing clinically localized prostate cancer are structured around clinical risk criteria, with prostate biopsy (PB) Gleason score (GS) being the most important factor. Biopsy to radical prostatectomy (RP) specimen upgrading/downgrading is well described, and is often the rationale for costly imaging or genomic studies. We present simple, no-cost analyses of clinical parameters to predict which GS 6 and GS 8 patients will change to GS 7 at prostatectomy. From May 2006 to December 2012, 1590 patients underwent robot-assisted radical prostatectomy (RARP). After exclusions, we identified a GS 6 cohort of 374 patients and a GS 8 cohort of 91 patients. During this era, >1000 additional patients were enrolled in an active surveillance (AS) program. For GS 6, 265 (70.9%) of 374 patients were upgraded, and the cohort included 183 (48.9%) patients eligible for AS by the Prostate Cancer Research International Active Surveillance Study (PRIAS) standards, of which 57.9% were upgraded. PB features that predicted a >90% chance of upgrading included ≥ 7 cores positive, maximum foci length ≥ 8 mm in any core, and total tumor involvement ≥ 30%. For GS 8, downgrading occurred in 46 (50.5%), which was significantly higher for single core versus multiple cores (80.4% vs 19.6%, P = 0.011). Biochemical recurrence (BCR) occurred in 3.4% of GS 6 upgraded versus 0% nonupgraded, and in GS 8, 19.6% downgraded versus 42.2% nondowngraded. In counseling men with clinically localized prostate cancer, the odds of GS change should be presented, and certain men with high-volume GS 6 or low-volume GS 8 can be counseled with GS 7-based recommendations.
Biopsy ; Humans ; Male ; Middle Aged ; Neoplasm Grading/statistics & numerical data* ; Neoplasm Recurrence, Local/pathology* ; Prostate/surgery* ; Prostate-Specific Antigen/blood* ; Prostatectomy ; Prostatic Neoplasms/surgery* ; Retrospective Studies ; Sensitivity and Specificity

ObjectiveTo determine whether a short interval (≤2 weeks) between 12-core prostate biopsy and laparoscopic radical prostatectomy (LRP) affects perioperative parameters and the outcome of surgery.

METHODSThis retrospective study included 102 cases of prostate cancer treated by LRP after 12-core prostate biopsy from January 2012 to December 2016. Based on the interval between prostate biopsy and LRP, we divided the patients into three groups: ≤2 wk (n = 35), >2－6 wk (n = 21), and >6 wk (n = 46). The patients averaged 69.87 (59－84) years in age, 24.99 (15.62－33.14) kg/m2 in the body mass index (BMI), 24.41 (0.41－111.78) μg/L in the baseline PSA level, 56.05 (15.97－216.52) ml in the prostate volume, and 7.51 (6－9) in the Gleason score. We analyzed the clinical data, perioperative parameters and outcomes of surgery, and compared them among the three groups of patients.

RESULTSOperations were completed successfully in all the 102 cases without transferring to open surgery. There were no statistically significant differences among the three groups of patients in age, BMI, baseline PSA level, prostate volume, Gleason score, or T stage, nor in the operation time, estimated intraoperative blood loss, blood transfusion rate, intestinal injury, positive incision margin rate, or urinary continence rate at 3 months after surgery.

CONCLUSIONSLaparoscopic radical prostatectomy at ≤2 weeks after 12-core prostate biopsy is safe and effective in the treatment of prostate cancer and does not affect the perioperative parameters and outcomes of surgery.

Aged ; Aged, 80 and over ; Biopsy ; Blood Loss, Surgical ; Body Mass Index ; Humans ; Laparoscopy ; Male ; Middle Aged ; Neoplasm Grading ; Operative Time ; Prostate ; pathology ; surgery ; Prostate-Specific Antigen ; Prostatectomy ; methods ; statistics & numerical data ; Prostatic Neoplasms ; pathology ; surgery ; Retrospective Studies ; Time Factors ; Treatment Outcome

PURPOSE: To evaluate parameters for determining repeat prostate biopsy in patients with 5α-reductase inhibitor (5ARI) treatment after initial negative biopsy. MATERIALS AND METHODS: From January 2007 to December 2015, patients who underwent a repeat prostate biopsy after an initial negative biopsy were enrolled from multiple institutions. Serial prostate-specific antigen (PSA) levels after the initial biopsy were analyzed for PSA kinetics. Clinicopathologic variables were evaluated according to the use of 5ARIs after the initial negative biopsy. RESULTS: Of 419 patients with initial negative biopsies (median age=67.0 years, median PSA=6.31 ng/mL), 101 patients (24.1%) were diagnosed with prostate cancer at the repeat biopsy. An increase in PSA level at 18 months, compared to that at 6 months, was a predictor of a positive repeat biopsy. However, the use of 5ARIs was not identified as a predictor. Of 126 patients receiving 5ARI treatment after the initial biopsy, 30 (23.8%) were diagnosed with prostate cancer at the repeat biopsy. Increase in PSA level at more than two time points after 6 months of 5ARI treatment (odds ratio=4.84, p=0.005) was associated with cancer detection at the repeat biopsy. There were no significant 5ARI group-related differences in the detection rates of prostate and high-grade cancers (Gleason score ≥7). CONCLUSION: The effects of 5ARIs on prostate cancer detection and chemoprevention remain uncertain. However, more than two increases in PSA level after 6 months of 5ARI treatment may indicate the presence of prostate cancer.
5-alpha Reductase Inhibitors/*therapeutic use ; Aged ; *Biopsy ; Follow-Up Studies ; Humans ; Kinetics ; Male ; Middle Aged ; Neoplasm Grading ; Predictive Value of Tests ; Prostate-Specific Antigen/*blood ; Prostatic Neoplasms/blood/*drug therapy/*pathology

PURPOSE: We evaluated the relationship of prostate-specific antigen (PSA) and obesity indices (weight, body mass index [BMI] and waist circumference [WC]) in Korean middle-aged men. MATERIALS AND METHODS: From February to September 2013, 1,900 police men under 60 years old who participated in a prostate health screening program were included this cross-sectional study. All subjects underwent clinical examinations including weight, height, BMI, WC, fasting blood sugar, lipid profiles, estimated glomerular filtration rate (GFR), and PSA. Total prostate volume (TPV) was assessed clinically. Spearman correlation and multiple linear regression tests were performed to evaluate the obesity indices and PSA relationships. RESULTS: The mean age was 52.0±4.7 years, and the mean PSA was 0.97±0.99 ng/mL. The PSA showed a significant positive correlation with the age (r=0.108, p < 0.01), TPV (r=0.349, p < 0.01), height (r=−0.052, p < 0.05), weight (r=0.186, p < 0.05), low-density lipoprotein cholesterol (r=0.056, p < 0.05), and GFR (r=−0.096, p < 0.01). All obesity indices including weight, BMI, and WC showed negative correlations with PSA (beta=−0.013, p < 0.001; beta=−0.039, p < 0.001; and beta=−0.010, p=0.005; respectively) in age and TPV-adjusted model. CONCLUSIONS: Common obesity indices (weight, BMI, and WC) were associated with lower PSA in Korean middle-aged population. Thus, an individual's degree of obesity should be considered when PSA is checked in the first prostate cancer screening of life.
Blood Glucose ; Body Mass Index ; Cholesterol ; Cross-Sectional Studies ; Fasting ; Glomerular Filtration Rate ; Humans ; Linear Models ; Lipoproteins ; Male ; Mass Screening ; Obesity ; Police ; Prostate ; Prostate-Specific Antigen ; Prostatic Neoplasms ; Waist Circumference