Ratio Of Free Prostate-specific Antigen Research Articles

Unveiling the intricate connection between per- and polyfluoroalkyl substances and prostate hyperplasia

The presence of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in various everyday products has raised concerns about their potential impact on prostate health. This study aimed to investigate the effects of different types of PFAS on prostate health, including PFDeA, PFOA, PFOS, PFHxS, and PFNA. To assess the relationship between PFAS exposure and prostate injury, machine learning algorithms were employed to analyze prostate-specific antigen (PSA) metrics. The analysis revealed a linear and positive dose-dependent association between PFOS and the ratio of free PSA to total PSA (f/tPSA). Non-linear dose-response relationships were observed between the other four types of PFAS and the f/tPSA ratio. Additionally, the analysis showed a positive association between the mixture of PFAS and prostate hyperplasia, with PFNA having the highest impact followed by PFOS. These findings suggest that elevated serum levels of PFDeA, PFOA, PFOS, and PFNA are linked to prostate hyperplasia. Therefore, this study utilized advanced machine learning techniques to uncover potential hazardous effects of PFAS exposure on prostate health, specifically the positive association between PFAS and prostate hyperplasia.

Prostate Cancer Screening Methods and Its Management Along Its Precision Medicine Recent Approach in The Light of ESMO Guidelines, A Review Article

Risk of clinically significant prostate cancer is related to age, family history, PSA level, free and total PSA ratio as well as finding of digital rectal examination DRE, subclinical prostate cancer is common in men over 50 years of age, hence PSA (Prostate specific Antigen) testing Has been recommended in men over 60years of age if PSA level is more than 2ng/ml. The 5 - year survival rate for prostate cancer in India is 64%. Although many cancers deem fit for cancer screening but prostate cancer screening having limited role author will try described about current recommendation of prostate cancer screening, recent data of HBCR Hospital based cancer registry shall also be discussed in order to understand disease burden in Indian context, along with management of prostate cancer in depth. Recently precision medicine has opened its wings for prostate cancer as well what we achieve out of it shall further address in this review article.

Prostate Biopsy Strategy Integrating Prostate Health Index and Multiparametric Magnetic Resonance Imaging Optimizes the Predictive Value of Clinically Significant Prostate Cancer in Prostate Imaging Reporting and Data System Gray-Zone Imaging

Purpose: The Prostate Health Index (PHI) and multiparametric magnetic resonance imaging (mpMRI) are used as complementary tools for more accurate diagnosis in men with suspected prostate cancer (PCa). This study investigated whether the combination of PHI and mpMRI better predict clinically significant PCa (csPCa), defined as a Gleason score of ≥7. Materials and Methods: Ninety-four men with clinical suspicion of csPCa were prospectively included. PHI was determined before the prostate biopsy. A uroradiologist reviewed mpMRI findings by using the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS version 2.1). Fusion-targeted biopsy with systematic biopsy was performed in patients with any suspicious lesions on MRI (PI-RADS assessment category ≥3), whereas systematic biopsy was performed in patients without suspicious lesions. The diagnostic values of different biomarkers and PI-RADS were compared by the area under the receiver operating curve (area under the curve [AUC]) for detecting csPCa. Results: Forty-nine (52%) patients were diagnosed with csPCa. The csPCa group had higher median PHI and more abnormal MRI findings than did the non-csPCa group. The median total prostate-specific antigen (PSA) level was similar between the PI-RADS 3 and 4 lesion groups. The median PHI values increased and more patients were diagnosed as having csPCa with an increase in PI-RADS. The receiver operating characteristic curve indicated that PHI and MRI (AUC 0.85 and 0.82, respectively) predicted csPCa more accurately than did the total PSA, free PSA ratio, and PSA density. Adding PHI to mpMRI significantly increased the diagnostic accuracy for csPCa (P = 0.004). PHI remained the optimal biomarker in patients with “gray zone” PI-RADS 3 or PI-RADS 4 lesions. Conclusion: PHI can guide decision-making for prostate biopsy for patients with gray-zone mpMRI lesions. We proposed a biopsy strategy incorporating PHI and MRI which resulted in the avoidance of biopsies in 35% of the patients.

Insufficient Lycopene Intake Is Associated With High Risk of Prostate Cancer: A Cross-Sectional Study From the National Health and Nutrition Examination Survey (2003-2010).

Although lycopene intake and risk of prostate cancer have been explored for decades, recent studies show that Non-Hispanic Black Prostate Cancer (PCa) patients benefit less than Non-Hispanic White patients from a lycopene intake intervention program. This study examined whether a lycopene intake-related racial disparity exists in reducing the risk of PCa in healthy adults. Data on healthy, cancer-free Non-Hispanic Black (NHB) men (n = 159) and Non-Hispanic White (NHW) men (n = 478) from the 2003 to 2010 NHANES dataset were analyzed. Total lycopene intake from daily diet, age, living status, race/ethnicity, education level, poverty income ratio, body mass index, and smoking status were studied as independent variables. The combination of total Prostate-Specific Antigen (PSA) level and the ratio of free PSA was set as criteria for evaluating the risk of PCa. Multivariable logistic regression was used in race-stratified analyses to compute odds ratios (OR) and 95% confidence intervals (95% CI) comparing high PCa risk with low PCa risk. We found, in the whole population, race/ethnicity was the only factor that influenced lycopene intake from the daily diet. NHB men consumed less lycopene than NHW men (3,716 vs. 6,487 (mcg), p = 0.01). Sufficient lycopene intake could reduce the risk of PCa (OR: 0.40, 95% CI: 0.18–0.85, p = 0.02). Men aged between 66 and 70 had high PCa risk (OR: 3.32, 95% CI: 1.12–9.85, p = 0.03). Obesity served as a protective factor against the high risk of PCa (OR: 0.25, 95% CI: 0.12–0.54, p = 0.001). NHW men aged between 66 and 70 had a high risk of PCa (OR: 4.01, 95% CI: 1.02–15.73, p = 0.05). Obese NHW men also had lower risk of PCa (OR: 0.18, 95% CI: 0.07–0.47 p = 0.001). NHB men had a high risk of PCa compared to NHW men (OR: 2.27, 95% CI: 1.35–3.81 p = 0.004). NHB men who were living without partners experienced an even higher risk of PCa (OR: 3.35, 95% CI: 1.01–11.19 p = 0.07). Sufficient lycopene intake from daily food could serve as a protector against PCa. Such an association was only observed in NHW men. Further studies are needed to explore the dose-response relationship between lycopene intake and the association of PCa risk in NHB men.

Study on individualized prostate biopsy guided by prostate specific antigen at different ranges

Background: Prostate specific antigen (PSA) is the most commonly used indicator for screening of prostate cancer(PCa), and the studies on PSA in PCa are very extensive at present. How to effectively use this indicator is worth for further study which this article wish to address. Objective: The aim of this study is to explore how PSA in different ranges can better guide the individualized prostate biopsy. Methods: A total of 117 patients with suspected PCa admitted to the Affiliated Hospital of Chengde Medical College from October 2018 to July 2020 were selected as the research subjects. PSA level and ratio of free and total PSA (F/TPSA) value of each patient were measured, and ultrasound-guided transrectal prostate biopsy was conducted for each patient, and then the PSA measurement results were compared with the prostate biopsy results. Results: The result of biopsy was PCa in 40 cases, BPH in 77 cases. The positive expression rates of Group I in BPH and PCa patients were 25.97% and 87.50%, respectively, and the difference was statistically significant (P < 0.05).The positive expression rates of Group II in BPH and PCa patients were 10.39% and 75.00%, respectively, and the difference was statistically significant (P < 0.05). The sensitivity, specificity, positive predictive value and diagnostic coincidence rates of Group I and Group II were 87.50%, 74.03%, 63.63%, 78.63% and 75.00%, 89.61%, 78.94% and 84.62%, respectively. Conclusion: Under different TPSA intervals, F/T < 0.16 has different diagnostic efficacy for PCa. Group I is more sensitive and suitable for early screening. Group II has stronger specificity in the diagnosis of PCa, Higher diagnostic coincidence rate, and has more diagnostic advantages before biopsy. Selecting Group II can help clinicians make more patient-friendly decisions and reduce the incidence of complications related to biopsy. According to patients’ aspiration for biopsy, auxiliary examinations such as magnetic resonance scan of prostate and bone scan should be performed actively for patients who meet the criteria I if they refuse to undergo biopsy. On the premise of not affecting PCa secondary prevention as much as possible, a more individualized biopsy plan was developed for patients.

Lower risk of prostate cancer in patients with sedentary occupations presenting for a prostate biopsy: Analysis of a Veterans Affairs cohort.

257 Background: Sedentary behavior has been associated with increased serum prostate-specific antigen (PSA) levels. It is currently unknown whether this correlates with an increased risk of underlying prostate cancer (PCa). Our objective was to determine whether patients with sedentary occupations presenting for a prostate biopsy were at increased risk of PCa diagnosis. Methods: A prospectively collected registry of patients undergoing a prostate biopsy between July 1995 and June 2016 at the Veterans Affairs Medical Center in Augusta, GA was utilized. The occupation was classified as sedentary if it was associated with prolonged periods of sitting (i.e. >50% work hours). This was determined via patient reported history at time of biopsy. The associations between a sedentary lifestyle and risk of a positive prostate biopsy, high grade cancer (i.e. Gleason score 8 or higher), and high volume cancer (i.e. at least 50% of total cores were positive) were evaluated using multivariable logistic regression analyses, controlling for age, race, body mass index, PSA level, free PSA ratio, clinical stage, prostate volume, and family history of prostate cancer. Statistical significance was set at p<0.05. All statistical analyses were performed using R version 3.6.1. Results: Our cohort included 1,914 patients. 271 (14.2%) patients had sedentary jobs. Median patient age was 61.0 years (Interquartile range [IQR] 57.0 – 66.0). Median PSA at time of biopsy was 5.7 ng/ml (IQR 4.4 – 8.2). Of the 1,914 initial biopsies performed, 974 (50.9%) were positive for malignancy. Of patients diagnosed with PCa, 229 (23.5%) had high-grade disease and 316 (32.4%) had high volume disease. On multivariable analysis, patients with a sedentary job had a significantly decreased risk of PCa diagnosis (Odds ratio [OR] 0.43, 95% confidence interval [CI] 0.18-1.03, p= 0.058), but no difference in odds of high grade (OR 0.63, 95% CI 0.089-2.99, p= 0.60) or high volume disease (OR 1.07, 95% CI 0.93-1.21, p= 0.89). Conclusions: Patients with sedentary occupations presenting for a prostate biopsy are at a lower apparent risk for a positive prostate biopsy. These results suggest that the serum PSA levels in such patients may be artificially elevated secondary to increased recumbence with no corresponding increase in risk of malignancy. [Table: see text]

The Value of Prostate-Specific Antigen-Related Indexes and Imaging Screening in the Diagnosis of Prostate Cancer.

ObjectiveThe aim of this study was to explore the value of the prostate-specific antigen (PSA) levels, the ratio of free PSA to total PSA (fPSA/TPSA), the PSA density (PSAD), digital rectal examination (DRE), transrectal prostate ultrasound (TRUS), and multiparameter MRI (MP-MRI) in the differential diagnosis of benign prostatic hyperplasia (BPH) and prostate cancer (PCa).MethodsFrom February 2016 to September 2019, data from 620 patients who underwent systematic transrectal ultrasound-guided prostate biopsy (STURS-PB) in our hospital were retrospectively collected, including the PSA levels, the fPSA/TPSA ratio, the PSAD, DRE, TRUS, MP-MRI, prostate volume, and other clinical data.ResultsAmong the 620 patients, 249 patients were in the PCa group, and 371 patients in the BPH group. The positive puncture rate was 40.16%. The positive predictive values of DRE, TRUS, mpMRI, and TPSA levels for PCa were 39.91%, 39.38%, 64.14%, and 41.57%, respectively; the sensitivity of these parameters was 37.35%, 51.41%, 74.69%, and 57.43%, respectively; and the specificity of these parameters was 62.26%, 46.90%, 71.97%, and 45.82%, respectively. When the TPSA concentration was in the range of 4–20 ng/mL, the positive puncture rate of STURS-PB was 23.18%, with a high rate of misdiagnosis. When the TPSA concentration was in the range of 4–20 ng/mL, the fPSA/TPSA ratio was 0.15, the PSAD was 0.16, the comprehensive evaluation of PCa was optimal (the sensitivity of these parameters was 88.85% and 84.09%, respectively; the specificity was 80.17% and 67.29%, respectively; the positive predictive value was 57.41% and 51.39%, respectively). When the TPSA concentration >4 ng/mL, the fPSA/TPSA ratio ≤0.15 and the PSAD ≥0.16, the sensitivity, specificity, and correctness index of the PCa and BPH diagnosis were 80.54%, 82.75%, and 67.07%, respectively.ConclusionWhen using DRE, TRUS, and MP-MRI to screen for PCa, MP-MRI has a relatively high sensitivity and specificity. Using these three thresholds (TPSA >4 ng/mL combined with an fPSA/TPSA ratio ≤0.15 and a PSAD ≥0.16) is significantly better than using TPSA levels alone for the differential diagnosis of PCa and BPH.

Serum PSA levels in patients with prostate cancer and other 33 different types of diseases.

The prostate-specific antigen (PSA), a glycoprotein, is a clinically used biomarker for screen and diagnosis of prostate cancer. Most of PSA in blood circulation is protein-bound, and only a small fraction is present as free PSA. In general, the serum total PSA levels are <4ng/mL in healthy controls and significantly increased in certain prostate cancer patients. Currently, <0.25 in the ratio of free PSA to total PSA (F/T value) is used as an indicator of prostate cancer. The mRNA of PSA is mainly expressed in prostate, and its protein product is a protease present in seminal plasma for the liquefaction of seminal coagulum in normal physiology. The F/T value as a prostate cancer biomarker has been questioned for its benefit over harm caused by its high false-positive rate of diagnosis. Furthermore, the molecular basis of how PSA is getting into blood circulation from seminal plasma is largely unknown. In current study, a total of 24,692 clinical lab test results of serum F/T values from healthy controls and patients with 34 different types of diseases including different types of cancers and nonneoplasm illnesses during the past 5 years were collected and analyzed statistically. Our data showed that even though the prostate cancer patients had the lowest median serum F/T values, both significantly increased and decreased serum F/T values were associated with different types of human diseases, such as acute cerebral infarction, coronary heart disease, uremia, and nephrotic syndrome. The possible molecular mechanisms of serum PSA as disease biomarkers are discussed.

Performance of free prostate-specific antigen ratio in differentiating between prostatic cancer and benign prostatic lesions at a referral hospital in South Africa

Background: Prostate cancer is a leading cause of morbidity and mortality in our male population, thus screening initiatives will help to improve outcomes. The current screening marker, total prostate-specific antigen (PSA), is not prostate cancer specific. The development of percentage free PSA (%FPSA) has largely improved the detection of prostate cancer.Objectives: To assess the performance of %FPSA ratio at the 25% cut-off and its ability to distinguish between prostate cancer and benign prostatic lesions.Methods: This was a retrospective study conducted on male patients with total prostate-specific antigen values 10 ng/ml and with prostate histology results. Male patients with total prostate-specific antigen between 4 and 10 ng/ml had their free prostate-specific antigen determined together with the calculation of the free prostate-specific antigen ratio. The ratio was then correlated with prostate histology results to determine the presence of prostate cancer at the cut-off ratio of 25%.Results: Prostate cancer was detected in 28 (21.37%) patients out of the total population of 131. Ninety-two patients had a FPSA ratio of 25%, 22 (22.8%) of whom were found to have prostate cancer. Notably the sensitivity and specificity were found to be 86% and 27% respectively, with a positive predictive of value of 21% at this cut-off.Conclusions: The study demonstrates a %FPSA ratio of 25% not to be a good discriminator between prostatic cancerous and benign lesions. It is thus recommended that a prostate biopsy should be done based on clinical examination findings rather than the level of total prostate specific antigen from 0–10 ng/ml or %FPSA ratio.

Performance of free prostate-specific antigen ratio in differentiating between prostatic cancer and benign prostatic lesions at a referral hospital in South Africa

Background: Prostate cancer is a leading cause of morbidity and mortality in our male population, thus screening initiatives will help to improve outcomes. The current screening marker, total prostate-specific antigen (PSA), is not prostate cancer specific. The development of percentage free PSA (%FPSA) has largely improved the detection of prostate cancer. Objectives: To assess the performance of %FPSA ratio at the 25% cut-off and its ability to distinguish between prostate cancer and benign prostatic lesions. Methods: This was a retrospective study conducted on male patients with total prostate-specific antigen values < 10 ng/ml and with prostate histology results. Male patients with total prostate-specific antigen between 4 and 10 ng/ml had their free prostate-specific antigen determined together with the calculation of the free prostate-specific antigen ratio. The ratio was then correlated with prostate histology results to determine the presence of prostate cancer at the cut-off ratio of 25%. Results: Prostate cancer was detected in 28 (21.37%) patients out of the total population of 131. Ninety-two patients had a FPSA ratio of < 25%, 22 (22.8%) of whom were found to have prostate cancer. Notably the sensitivity and specificity were found to be 86% and 27% respectively, with a positive predictive of value of 21% at this cut-off. Conclusions: The study demonstrates a %FPSA ratio of 25% not to be a good discriminator between prostatic cancerous and benign lesions. It is thus recommended that a prostate biopsy should be done based on clinical examination findings rather than the level of total prostate specific antigen from 0–10 ng/ml or %FPSA ratio. Keywords: diagnostic accuracy, non-communicable diseases, prostatic neoplasm, screening

Different free prostate-specific antigen to total prostate-specific antigen ratios using three detecting systems.

Prostate-specific antigen (PSA) is used as an indicative marker of a pathologic condition of the prostate, and the ratio of free PSA (fPSA) to total PSA (tPSA) helps to distinguish benign prostatic hyperplasia (BPH) from prostate cancer (PCa). In this study, we present some reversed ratios of fPSA to tPSA and analyze the possible mechanism. Using the UniCel DxI800 Access Immunoassay System, eight reversed fPSA to tPSA ratios were obtained, and then these samples were retested with an Abbott Architect i2000 Immunoassay Analyser and Cobas e602. Four of the eight reversed ratios kept a ratio >1 using Abbott Architect i2000, and seven of them turned into a ratio <1 using Cobas e602. In consideration of the assay these three detecting systems apply, the possible reason of the reversed ratios can be heterophile antibodies. To get accurate reason, further study is required.

Prostate-specific antigen and its derivatives in young adults occupationally exposed to quarry pollutants in southeastern Nigeria

ABSTRACTTo evaluate the level of total prostate-specific antigen (PSA) and effect of duration of exposure to pollutants in quarry workers, 5 mls of blood sample was collected from participants: 72 male quarry workers exposed to quarry pollutants and 72 unexposed controls. PSA estimations were done using the principle of ELISA. Mean total PSA, free PSA, and free-total PSA ratio levels of quarry workers did not differ from those of controls and was below the cutoff for the risk of prostate diseases. Higher mean total PSA and free PSA were observed in workers exposed for > 3 years compared to the unexposed control and workers exposed for ≤ 3 years. Age-adjusted linear regression indicated significant association (R = 0.515; p < .001) between the duration of exposure and total PSA level in quarry workers. This study suggests that longer duration of exposure to the quarry pollutants may elevate PSA level if precautions are not taken to minimize dose of exposure.

Development and external multicenter validation of Chinese Prostate Cancer Consortium prostate cancer risk calculator for initial prostate biopsy

ObjectiveSubstantial differences exist in the relationship of prostate cancer (PCa) detection rate and prostate-specific antigen (PSA) level between Western and Asian populations. Classic Western risk calculators, European Randomized Study for Screening of Prostate Cancer Risk Calculator, and Prostate Cancer Prevention Trial Risk Calculator, were shown to be not applicable in Asian populations. We aimed to develop and validate a risk calculator for predicting the probability of PCa and high-grade PCa (defined as Gleason Score sum 7 or higher) at initial prostate biopsy in Chinese men. Materials and methodsUrology outpatients who underwent initial prostate biopsy according to the inclusion criteria were included. The multivariate logistic regression–based Chinese Prostate Cancer Consortium Risk Calculator (CPCC-RC) was constructed with cases from 2 hospitals in Shanghai. Discriminative ability, calibration and decision curve analysis were externally validated in 3 CPCC member hospitals. ResultsOf the 1,835 patients involved, PCa was identified in 338/924 (36.6%) and 294/911 (32.3%) men in the development and validation cohort, respectively. Multivariate logistic regression analyses showed that 5 predictors (age, logPSA, logPV, free PSA ratio, and digital rectal examination) were associated with PCa (Model 1) or high-grade PCa (Model 2), respectively. The area under the curve of Model 1 and Model 2 was 0.801 (95% CI: 0.771–0.831) and 0.826 (95% CI: 0.796–0.857), respectively. Both models illustrated good calibration and substantial improvement in decision curve analyses than any single predictors at all threshold probabilities. Higher predicting accuracy, better calibration, and greater clinical benefit were achieved by CPCC-RC, compared with European Randomized Study for Screening of Prostate Cancer Risk Calculator and Prostate Cancer Prevention Trial Risk Calculator in predicting PCa. ConclusionsCPCC-RC performed well in discrimination and calibration and decision curve analysis in external validation compared with Western risk calculators. CPCC-RC may aid in decision-making of prostate biopsy in Chinese or in other Asian populations with similar genetic and environmental backgrounds.

Prostate Specific Antigen Ratio is Negatively Associated with Blood Cadmium Concentration and Smoking Status

Smoking is a risk factor for several diseases, notably cardiovascular disease and lung cancer. There is evidence that smoking is associated with an increased risk of prostate cancer, though the mechanisms by and the extent to which smoking may affect prostate cancer risk are unknown. Tobacco smoke contains myriad carcinogens, including cadmium. Cadmium is a toxic transition metal and environmental pollutant found in tobacco, and environmental exposure to cadmium has been associated with greater risk of prostate cancer. We hypothesized that blood cadmium (BCd) would be associated with PSA ratio and that this association would depend on smoking status. We examined the level of prostate specific antigen (PSA), free PSA (fPSA), and fPSA ratio, which better predicts risk of advanced prostate cancer, BCd, and smoking status of 6,007 men in the National Health and Nutrition Examination Survey (NHANES) 2003‐2010. Multiple linear regression was used to predict PSA ratio from BCd, smoking status, age, and ethnicity. Current smokers (CS) were found to have significantly (P &lt; 0.05) lower fPSA and fPSA ratio, and greater BCd compared with non‐smokers (NS) and former smokers (FS) (CS vs. NS: fPSA, 0.31 vs. 0.38 ng/mL; fPSA ratio, 29.1% vs. 31.8%; BCd, 1.30 vs. 0.27 μg/L). Based on the final regression model, BCd was associated with a lower fPSA ratio among CS compared with NS and FS. Compared with NS and FS, for CS a 10% increase in BCd corresponded to a predicted decrease in fPSA ratio of 37% for White and Black men, 54% for Hispanic men, and 217% for other men. These results suggest that smoking is associated with a lower fPSA ratio – and thus potentially greater risk of prostate cancer – and that this effect may be partly attributable to cadmium exposure.Funding: NIH #1R03CA159421‐01A1

Next-generation prostate-specific antigen test: precursor form of prostate-specific antigen.

An urgent need exists to develop a more sophisticated screening system in order to improve diagnostic accuracy of clinically significant cancer and also to reduce the drawbacks of prostate-specific antigen (PSA) screening including overdetection and overtreatment. The most promising next-generation PSA test, which can improve the management of prostate cancer, may be proenzyme PSA (proPSA) or precursor PSA (pPSA). proPSA has pro-leader peptide sequences of seven or less amino acids and previous studies demonstrated that [-2]proPSA, which contains only a 2-amino-acid propeptide leader, could be more useful not only to distinguish between men with and without cancer, but also between tumors with aggressive features with performance exceeding other classical PSA-related indices including ratio of free PSA to total PSA (%f-PSA) and PSA density. Recently, it was demonstrated that baseline [-2]proPSA-related indices were independent factors to predict pathological reclassification at one year or several years after entering active surveillance. Furthermore, a retrospective study suggested that [-2]proPSA might be a useful predictive marker for future developing clinically manifested prostate cancer as well as aggressive tumors. ProPSA-related indices may have the potential for developing a more ideal risk classification for men at risk for prostate cancer, with a screening system maintaining the sensitivity of detecting clinically significant prostate cancer while saving cost, individualized treatment strategies, and follow-up procedures of active surveillance or active treatments. At a minimum, proPSA will be one of the most important new markers on the prostate cancer management in the near future.

Nomogram for Prediction of Prostate Cancer with Serum Prostate Specific Antigen Less than 10 ng/mL

Although prostate-specific antigen (PSA) is a very useful screening tool, prostate biopsy is still necessary to confirm prostate cancer (PCA). However, it is reported that PSA is associated with a high false-positive rate and prostate biopsy also has various procedure-related complications. Therefore, the authors have devised a nomogram, which can be used to estimate the risk of PCA, using available clinical data for men with a serum PSA less than 10 ng/mL. Prostate biopsies were obtained from 2,139 patients from January 1998 to March 2011. Of them, 1,171 patients with a serum PSA less than 10 ng/mL were only included in this study. Patient age, PSA, free PSA, prostate volume, PSA density and percent free PSA ratio were analyzed. Among 1,171 patients, 255 patients (21.8%) were diagnosed as PCA. Multivariate analyses showed that patient age, prostate volume, PSA and percent free PSA had statistically significant relationships with PCA (P < 0.05) and were used as nomogram predictor variables. The area under the (ROC) curve for all factors in a model predicting PCA was 0.759 (95% CI, 0.716-0.803).

The impact of baseline [−2]proPSA-related indices on the prediction of pathological reclassification at 1 year during active surveillance for low-risk prostate cancer: the Japanese multicenter study cohort

PurposeActive surveillance (AS) is one potential solution to avoiding the overtreatment of favorable prostate cancer. By handling the AS strategy more safely, tumor aggressiveness may be evaluated more accurately. The aim of the present study was to evaluate the predictive impact of baseline prostate-specific antigen (PSA) isoform [−2]proPSA (p2PSA)-related indices on the pathological reclassification at 1 year during an AS program.MethodsBetween 2002 and 2003, 134 males diagnosed with low-risk prostate cancer were registered in the Japanese multicenter study cohort as candidates for AS, and 118 (88 %) males actually proceeded to AS. Of the 118 patients, the 67 that underwent protocol biopsy at 1 year after beginning AS were enrolled in the present study. The predictive significance of various baseline clinicopathological features and p2PSA-related indices on pathological reclassification at 1 year after beginning AS were investigated.ResultsThe pathological reclassification rate was 37.3 %. According to the univariate analysis, prostate volume (p = 0.049), number of biopsy cores (p = 0.047), percentage of positive biopsy cores (p = 0.023), p2PSA to free PSA ratio (%p2PSA) (p = 0.003) and prostate health index (phi) (p = 0.010) at baseline were significantly different between the reclassification and non-reclassification groups. By multivariate logistic regression analysis, baseline %p2PSA (p = 0.008) and phi (p = 0.008) were the only independent predictive factors for pathological upgrade at 1 year after AS commencement.ConclusionsBaseline %p2PSA and phi may predict the pathological reclassification at 1 year after starting AS, which could be due to the under detection of clinically significant prostate cancer at AS enrollment.

Association of Urinary Phytoestrogen Concentrations with Serum Concentrations of Prostate-Specific Antigen in the National Health and Nutrition Examination Survey

Some clinical trials have shown that high phytoestrogen intake may decrease serum concentrations of prostate-specific antigen (PSA), and phytoestrogens may also lower prostate cancer risk. It was the aim of this study to examine the relationship between the serum PSA level and urine phytoestrogen concentration in generally healthy U.S. men. Eight hundred twenty-four men, 40+ yr old without prostate cancer, who participated in the 2001–2004 NHANES surveys, were included in the analysis. The association of total PSA, free PSA, and PSA ratio [free PSA/total PSA * 100] with concentrations of isoflavones and lignans (standardized for urinary creatinine concentration) was examined using multivariable-adjusted linear and logistic regression models. The linear regression analyses showed no clear association between creatinine-standardized urinary phytoestrogen concentrations and serum total or free PSA levels or PSA ratio. However, the odds of having a PSA ratio <15% rose from Quartile 1 to Quartile 4 of isoflavone excretion (odds ratio = 2.82, 95% confidence interval 1.28–6.22 for top vs. bottom quartile), but there were no associations with having a PSA ratio <25%. In generally healthy U.S. men, 40+ yr old without a diagnosis of prostate cancer, urinary isoflavone, and lignan concentrations were not associated with serum PSA level.

Outcomes and Trends of Prostate Biopsy for Prostate Cancer in Chinese Men from 2003 to 2011

BackgroundProstate-specific antigen (PSA) screening is growing in popularity in China, but its impact on biopsy characteristics and outcomes are poorly understood.ObjectiveOur objective was to characterize prostate biopsy outcomes and trends in Chinese men over a 10-year period, since the increasing use of PSA tests.MethodsAll men (n = 1,650) who underwent prostate biopsy for PCa at Huashan Hospital, Shanghai, China from 2003–2011 were evaluated. Demographic and clinical information was collected for each patient, including age, digital rectal examination (DRE), transrectal ultrasound (prostate volume and nodule), total prostate-specific antigen (tPSA) levels and free PSA ratio (fPSA/tPSA) prior to biopsy. Prostate biopsy was performed using six cores before October 2007 or ten cores thereafter. Logistic regression and multivariate analysis were used to evaluate our data.ResultsThe overall positive rate of prostate biopsy for PCa was 47% and the rate decreased significantly over the years from 74% in 2003 to 33% in 2011 (P-trend = 0.004) . Age at diagnosis was slightly increased (P-trend = 0.04) while fPSA/tPSA was significantly decreased (P-trend = 1.11×10-5). A statistically significant trend was not observed for tPSA levels, prostate volume, or proportion of positive nodule. The model including multiple demographic and clinical variables (i.e., age, DRE, tPSA, fPSA/tPSA and transrectal ultrasound results) (AUC = 0.93) statistically outperformed models that included only PSA (AUC = 0.85) or fPSA/tPSA (AUC = 0.66) to predict PCa risks (P<0.05). Similar results were observed in a subgroup of men whose tPSA levels were lower than 20 ng/mL (AUC = 0.87, vs. AUC of tPSA = 0.62, P<0.05).ConclusionsDetection rates of PCa and high-grade PCa among men that underwent prostate biopsy at the institution has decreased significantly in the past 10 years, likely due to increasing use of PSA tests. Predictive performance of demographic and clinical variables of PCa was excellent. These variables should be used in clinics to determine the need for prostate biopsy.

The Optimal Rebiopsy Prostatic Scheme Depends on Patient Clinical Characteristics: Results of a Recursive Partitioning Analysis Based on a 24-Core Systematic Scheme

BackgroundThe most beneficial number and the location of prostate biopsies remain matters of debate, especially after an initial negative biopsy. ObjectiveTo identify the optimal combination of sampling sites (number and location) to detect prostate cancer (PCa) in patients previously submitted to an initial negative prostatic biopsy. Design, setting, and participantsA transrectal ultrasound–guided systematic 24-core prostate biopsy (24PBx) was performed prospectively in 340 consecutive patients after a first negative biopsy (at least 12 cores). MeasurementsWe relied on a classification and regression tree analysis to identify three clinically different subgroups of patients at dissimilar risk of harboring PCa at second biopsy. Subsequently, we set the cancer-positive rate of the 24PBx at 100% and calculated PCa detection rates for 255 possible combinations of sampling sites. We selected the optimal biopsy scheme (defined as the combination of sampling sites that detected 95% of all the cancers with the minimal number of biopsy cores) for each patient subgroup. Results and limitationsAfter an initial negative biopsy, cancer was detected at rebiopsy in 95 men (27.9%). At a given number of cores, the cancer detection rates varied significantly according to the different combination of sites considered. Three different PCa risk groups were identified: (1) previous report of atypical small acinar proliferation of the prostate (ASAP), (2) no previous ASAP and ratio of free prostate-specific antigen (fPSA) to total PSA (%fPSA) ≤10%, and (3) no previous ASAP and %fPSA >10%. For patients with previous ASAP or patients with no previous ASAP and %fPSA ≤10%, two schemes with different combinations of 14 cores were most favorable. The optimal sampling in patients with no previous ASAP and %fPSA >10% was a scheme with a combination of 20 cores. ConclusionsBoth the number and the location of biopsy cores taken affect cancer detection rates in a repeated biopsy setting. We developed an internally validated flowchart to identify the most advantageous set of sampling sites according to patient characteristics.