Serum Prostatic Antigen Research Articles

Prostate Cancer: A Review of Genetics, Current Biomarkers and Personalised Treatments.

Prostate cancer is the second leading cause of cancer deaths in men, second only to lung cancer. Despite this, diagnosis and prognosis methods remain limited, with effective treatments being few and far between. Traditionally, prostate cancer is initially tested for through a prostate serum antigen (PSA) test and a digital rectum examination (DRE), followed by confirmation through an invasive prostate biopsy. The DRE and biopsy are uncomfortable for the patient, so less invasive, accurate diagnostic tools are needed. Current diagnostic tools, along with genes that hold possible biomarker uses in diagnosis, prognosis and indications for personalised treatment plans, were reviewed in this article. Several genes from multiple families have been identified as possible biomarkers for disease, including those from the MYC and ETS families, as well as several tumour suppressor genes, Androgen Receptor signalling genes and DNA repair genes. There have also been advances in diagnostic tools, including MRI-targeted and liquid biopsies. Several personalised treatments have been developed over the years, including those that target metabolism-driven prostate cancer or those that target inflammation-driven cancer. Several advances have been made in prostate cancer diagnosis and treatment, but the disease still grows year by year, leading to more and more deaths annually. This calls for even more research into this disease, allowing for better diagnosis and treatment methods and a better chance of patient survival.

Autonomous Tumor Signature Extraction Applied to Spatially Registered Bi-Parametric MRI to Predict Prostate Tumor Aggressiveness: A Pilot Study.

Accurate, reliable, non-invasive assessment of patients diagnosed with prostate cancer is essential for proper disease management. Quantitative assessment of multi-parametric MRI, such as through artificial intelligence or spectral/statistical approaches, can provide a non-invasive objective determination of the prostate tumor aggressiveness without side effects or potential poor sampling from needle biopsy or overdiagnosis from prostate serum antigen measurements. To simplify and expedite prostate tumor evaluation, this study examined the efficacy of autonomously extracting tumor spectral signatures for spectral/statistical algorithms for spatially registered bi-parametric MRI. Spatially registered hypercubes were digitally constructed by resizing, translating, and cropping from the image sequences (Apparent Diffusion Coefficient (ADC), High B-value, T2) from 42 consecutive patients in the bi-parametric MRI PI-CAI dataset. Prostate cancer blobs exceeded a threshold applied to the registered set from normalizing the registered set into an image that maximizes High B-value, but minimizes the ADC and T2 images, appearing "green" in the color composite. Clinically significant blobs were selected based on size, average normalized green value, sliding window statistics within a blob, and position within the hypercube. The center of mass and maximized sliding window statistics within the blobs identified voxels associated with tumor signatures. We used correlation coefficients (R) and p-values, to evaluate the linear regression fits of the z-score and SCR (with processed covariance matrix) to tumor aggressiveness, as well as Area Under the Curves (AUC) for Receiver Operator Curves (ROC) from logistic probability fits to clinically significant prostate cancer. The highest R (R > 0.45), AUC (>0.90), and lowest p-values (<0.01) were achieved using z-score and modified registration applied to the covariance matrix and tumor signatures selected from the "greenest" parts from the selected blob. The first autonomous tumor signature applied to spatially registered bi-parametric MRI shows promise for determining prostate tumor aggressiveness.

Relationship between Eccentricity and Volume Determined by Spectral Algorithms Applied to Spatially Registered Bi-Parametric MRI and Prostate Tumor Aggressiveness: A Pilot Study.

(1) Background: Non-invasive prostate cancer assessments using multi-parametric MRI are essential to the reliable detection of lesions and proper management of patients. While current guidelines call for the administration of Gadolinium-containing intravenous contrast injections, eliminating such injections would simplify scanning and reduce patient risk and costs. However, augmented image analysis is necessary to extract important diagnostic information from MRIs. Purpose: This study aims to extend previous work on the signal to clutter ratio and test whether prostate tumor eccentricity and volume are indicators of tumor aggressiveness using bi-parametric (BP)-MRI. (2) Methods: This study retrospectively processed 42 consecutive prostate cancer patients from the PI-CAI data collection. BP-MRIs (apparent diffusion coefficient, high b-value, and T2 images) were resized, translated, cropped, and stitched to form spatially registered BP-MRIs. The International Society of Urological Pathology (ISUP) grade was used to judge cases of prostate cancer as either clinically significant prostate cancer (CsPCa) (ISUP ≥ 2) or clinically insignificant prostate cancer (CiPCa) (ISUP < 2). The Adaptive Cosine Estimator (ACE) algorithm was applied to the BP-MRIs, followed by thresholding, and then eccentricity and volume computations, from the labeled and blobbed detection maps. Then, univariate and multivariate linear regression fittings of eccentricity and volume were applied to the ISUP grade. The fits were quantitatively evaluated by computing correlation coefficients (R) and p-values. Area under the curve (AUC) and receiver operator characteristic (ROC) curve scores were used to assess the logistic fitting to CsPCa/CiPCa. (3) Results: Modest correlation coefficients (R) (>0.35) and AUC scores (0.70) for the linear and/or logistic fits from the processed prostate tumor eccentricity and volume computations for the spatially registered BP-MRIs exceeded fits using the parameters of prostate serum antigen, prostate volume, and patient age (R~0.17). (4) Conclusions: This is the first study that applied spectral approaches to BP-MRIs to generate tumor eccentricity and volume metrics to assess tumor aggressiveness. This study found significant values of R and AUC (albeit below those from multi-parametric MRI) to fit and relate the metrics to the ISUP grade and CsPCA/CiPCA, respectively.

Application of Spectral Algorithm Applied to Spatially Registered Bi-Parametric MRI to Predict Prostate Tumor Aggressiveness: A Pilot Study

Background: Current prostate cancer evaluation can be inaccurate and burdensome. Quantitative evaluation of Magnetic Resonance Imaging (MRI) sequences non-invasively helps prostate tumor assessment. However, including Dynamic Contrast Enhancement (DCE) in the examined MRI sequence set can add complications, inducing possible side effects from the IV placement or injected contrast material and prolonging scanning time. More accurate quantitative MRI without DCE and artificial intelligence approaches are needed. Purpose: Predict the risk of developing Clinically Significant (Insignificant) prostate cancer CsPCa (CiPCa) and correlate with the International Society of Urologic Pathology (ISUP) grade using processed Signal to Clutter Ratio (SCR) derived from spatially registered bi-parametric MRI (SRBP-MRI) and thereby enhance non-invasive management of prostate cancer. Methods: This pilot study retrospectively analyzed 42 consecutive prostate cancer patients from the PI-CAI data collection. BP-MRI (Apparent Diffusion Coefficient, High B-value, T2) were resized, translated, cropped, and stitched to form spatially registered SRBP-MRI. Efficacy of noise reduction was tested by regularizing, eliminating principal components (PC), and minimizing elliptical volume from the covariance matrix to optimize the SCR. MRI guided biopsy (MRBx), Systematic Biopsy (SysBx), combination (MRBx + SysBx), or radical prostatectomy determined the ISUP grade for each patient. ISUP grade ≥ 2 (&lt;2) was judged as CsPCa (CiPCa). Linear and logistic regression were fitted to ISUP grade and CsPCa/CiPCa SCR. Correlation Coefficients (R) and Area Under the Curves (AUC) for Receiver Operator Curves (ROC) evaluated the performance. Results: High correlation coefficients (R) (&gt;0.55) and high AUC (=1.0) for linear and/or logistic fit from processed SCR and z-score for SRBP-MRI greatly exceed fits using prostate serum antigen, prostate volume, and patient age (R ~ 0.17). Patients assessed with combined MRBx + SysBx and from individual MRI scanners achieved higher R (DR = 0.207+/−0.118) than all patients used in the fits. Conclusions: In the first study, to date, spectral approaches for assessing tumor aggressiveness on SRBP-MRI have been applied and tested and achieved high values of R and exceptional AUC to fit the ISUP grade and CsPCA/CiPCA, respectively.

Prostate-specific antigen level association with COVID-19 infection and vaccination

IntroductionThe associations among SARS-CoV-2 infection, vaccination and total serum prostate serum antigen (PSA) levels in men undergoing screening for prostate cancer are unknown. MethodsA retrospective analysis of data from a large health maintenance organization. Records of individuals aged 50 to 75 years with two serum PSA tests taken between March 2018 and November 2021 were included. Individuals with prostate cancer were excluded. Changes in PSA levels were compared between individuals who had at least 1 SARS-CoV-2 vaccination and/or infection between the two PSA tests and individuals who did not have an infection and were not vaccinated between the two PSA tests. Subgroup analyses were performed to assess the impact of the elapsed time between the event and the second PSA test on the results. ResultsThe study and control groups included 6,733 (29%) and 16 286 (71%) individuals, respectively. Although the median time between PSA tests was shorter in the study vs. the control group (440 vs. 469 days, P<.001), PSA elevation between the tests was higher in the study group (0.04 vs. 0.02, P<.001). The relative risk for PSA elevation ≥1 ng/dL was 1.22 (95% CI 1.1, 1.35). Among individuals who were vaccinated, PSA increased by 0.03 ng/dL (IQR -0.12, 0.28) and 0.09 ng/dL (IQR -0.05, 0.34) after 1 and 3 doses, respectively (P<.001). Multivariate linear regression showed that SARS-CoV-2 events (β 0.043; 95% CI 0.026-0.06) were associated with a greater risk for PSA elevation, after adjusting for age, baseline PSA and days between PSA tests. ConclusionSARS-CoV-2 infection and vaccinations are associated with a slight increase in PSA, with the third anti-COVID vaccine dose having a more prominent impact, but its clinical significance is unknown yet. Any significant increase in PSA must be investigated and cannot be dismissed as secondary to SARS-CoV-2 infection or vaccination.

Feasibility and preliminary clinical tolerability of low-field MRI-guided prostate biopsy.

We evaluate the clinical feasibility of a portable, low-field magnetic resonance imaging (MRI) system for prostate cancer (PCa) biopsy. A retrospective analysis of men who underwent a 12-core systematic transrectal ultrasound-guided prostate biopsy (SB) and a low-field MRI guided transperineal targeted biopsy (MRI-TB). Comparison of the detection of clinically significant PCa (csPCa) (Gleason Grade [GG] ≥ 2) by SB and low field MRI-TB, stratified by Prostate Imaging Reporting & Data System (PI-RADS) score, prostate volume, and prostate serum antigen (PSA) was performed. A total of 39 men underwent both the MRI-TB and SB biopsy. Median (interquartile range [IQR]) age was 69.0 (61.5-73) years, body mass index (BMI) was 28.9 kg/m2 (25.3-34.3), prostate volume was 46.5 cc (32-72.7), and PSA was 9.5 ng/ml (5.5-13.2). The majority (64.4%) of patients had PI-RADS ≥ 4 lesions and 25% of lesions were anterior on pre-biopsy MRII. Cancer detection rate (CDR) was greatest when combining SB and MRI-TB (64.1%). MRI-TB detected 74.3% (29/39) cancers. Of which, 53.8% (21/39) were csPCa while SB detected 42.5% (17/39) csPCa (p = 0.21). In 32.5% (13/39) of cases, MRI-TB upstaged the final diagnosis, compared to 15% (6/39) of cases in which SB upstaged the final diagnosis (p = 0.11). Low-field MRI-TB is clinically feasible. Although future studies on the accuracy of MRI-TB system are needed, the initial CDR is comparable to those seen with fusion-based prostate biopsies. A transperineal and targeted approach may be beneficial in patients with higher BMI and anterior lesions.

Associations between Body Mass Index and Prostate Cancer: The Impact on Progression-Free Survival

Background and objectives: This study aimed to evaluate the impact of body mass index on PCa outcomes in our institution and also to find if there are statistically significant differences between the variables. Materials and Methods: A retrospective chart review was performed to extract information about all male patients with prostate cancer between 1 February 2015, and 25 October 2022, and with information about age, weight, height, follow-up, and PSA. We identified a group of 728 patients, of which a total of 219 patients resulted after the inclusion and exclusion criteria were applied. The primary endpoint was progression-free survival, which was defined as the length of time that the patient lives with the disease, but no relapses occur, and this group included 105 patients. In this case, 114 patients had a biological, local or metastatic relapse and were included in the progression group. Results: Our study suggests that prostate cancer incidence rises with age (72 ± 7.81 years) in men with a normal BMI, but the diagnostic age tends to drop in those with higher BMIs, i.e., overweight, and obese in the age range of 69.47 ± 6.31 years, respectively, 69.1 ± 7.51 years. A statistically significant difference was observed in the progression group of de novo metastases versus the absent metastases group at diagnostic (p = 0.04). The progression group with metastases present (n = 70) at diagnostic had a shorter time to progression, compared to the absent metastases group (n = 44), 18.04 ± 11.37 months, respectively, 23.95 ± 16.39 months. Also, PSA levels tend to diminish with increasing BMI classification, but no statistically significant difference was observed. Conclusions: The median diagnostic age decreases with increasing BMI category. Overweight and obese patients are more likely to have an advanced or metastatic prostate cancer at diagnosis. The progression group with metastatic disease at diagnostic had a shorter time to progression, compared to the absent metastases group. Regarding prostate serum antigen, the levels tend to become lower in the higher BMI groups, possibly leading to a late diagnosis.

Pilot study for generating and assessing nomograms and decision curves analysis to predict clinically significant prostate cancer using only spatially registered multi-parametric MRI.

Current prostate cancer evaluation can be inaccurate and burdensome. To help non-invasive prostate tumor assessment, recent algorithms applied to spatially registered multi-parametric (SRMP) MRI extracted novel clinically relevant metrics, namely the tumor's eccentricity (shape), signal-to-clutter ratio (SCR), and volume. Conduct a pilot study to predict the risk of developing clinically significant prostate cancer using nomograms and employing Decision Curves Analysis (DCA) from the SRMP MRI-based features to help clinicians non-invasively manage prostatecancer. This study retrospectively analyzed 25 prostate cancer patients. MP-MRI (T1, T2, diffusion, dynamic contrast-enhanced) were resized, translated, and stitched to form SRMP MRI. Target detection algorithm [adaptive cosine estimator (ACE)] applied to SRMP MRI determines tumor's eccentricity, noise reduced SCR (by regularizing or eliminating principal components (PC) from the covariance matrix), and volume. Pathology assessed wholemount prostatectomy for Gleason score (GS). Tumors with GS >=4+3 (<=3+4) were judged as "Clinically Significant" ("Insignificant"). Logistic regression combined eccentricity, SCR, volume to generate probability distribution. Nomograms, DCA used all patients plus training (13 patients) and test (12 patients) sets. Area Under the Curves for (AUC) for Receiver Operator Curves (ROC) and p-values evaluated theperformance. Combining eccentricity (0.45 ACE threshold), SCR (3, 4 PCs), SCR (regularized, modified regularization) with tumor volume (0.65 ACE threshold) improved AUC (>0.70) for ROC curves and p-values (<0.05) for logistic fit. DCA showed greater net benefit from model fit than univariate analysis, treating "all," or "none." Training/test sets achieved comparable AUC but with higher p-values. Performance of nomograms and DCA based on metrics derived from SRMP-MRI in this pilot study were comparable to those using prostate serum antigen, age, and PI-RADS.

Occupational and Environmental Exposure Influences the Inflammatory (Pro-and Anti-) Status in Benign Prostate Hyperplasia and Prostate Carcinoma Patients: A Retrospective Analysis.

Multiple diseases and disorders are connected with occupational and environmental exposure risk. It is also well-established that chemicals and chemical mixtures have an influence on the immune cells of humans. This is an important field of research that has been pursued extensively in relation to autoimmune illnesses, allergy/asthma, and lung cancer, but Prostate Carcinoma has received rare reports. Chronic chemical exposure is known to produce inflammation, which is one of the most prominent characteristics of all malignancies. Changes in the ratio of pro-inflammatory to anti-inflammatory molecules are thought to be a key factor in the emergence of inflammation. Prostate gland cells express the pro-inflammatory cytokine interleukin-18 (IL-18), which is a major facilitator of immunological responses. Conversely, interleukin-10 (IL-10) is an anti-inflammatory cytokine that is linked to immune responses and inhibits the development of an inflammatory environment. Our goal is to investigate the inflammatory status of IL-18 (pro-) and IL-10 (anti-) in a variety of occupationally exposed populations in patients with Benign Prostate Hyperplasia (BPH) and patients with Prostate Carcinoma. The present study was conducted with 664 subjects, comprising 285 Prostate Carcinoma patients, 94 BPH patients and 285 controls. The subjects of BPH and Prostate Carcinoma were screened and confirmed on the basis of Prostate Serum Antigen (PSA) and pathological biopsy. All subjects were categorized as per their occupational exposure into various groups. The pro-inflammatory and anti-inflammatory Interleukins (IL-18 and IL-10) and serum PSA levels were analysed by using corresponding quantitative ELISA kits. The results showed that as compared to control participants, the serum PSA levels were higher in the Prostate Carcinomaand BPH groups. When mean levels of IL-18 were compared between various occupational groups, Tanners (tanning industry), Agriculture, and Ordnance workers had significantly higher levels (P < 0.05) of IL-18 than sedentary workers. The pro-inflammatory cytokine (IL-18) levels were also found to be aggravated in Prostate Carcinomacompared to BPH and controls. According to the findings of the current study, the levels of inflammatory cytokines (IL-18 and IL-10) in various occupational groups of BPH, Prostate Carcinoma, and controls were altered. Long-term occupational exposure may have a negative influence on inflammation levels and the immune system; therefore, preventative measures should be explored for improved health.

A preoperative magnetic resonance imaging-based model to predict biochemical failure after radical prostatectomy

To investigate if a magnetic resonance imaging (MRI)-based model reduced postoperative biochemical failure (BF) incidence in patients with prostate cancer (PCa). From June 2018 to January 2020, we retrospectively analyzed 967 patients who underwent prostate bi-parametric MRI and radical prostatectomy (RP). After inclusion criteria were applied, 446 patients were randomized into research (n = 335) and validation cohorts (n = 111) at a 3:1 ratio. In addition to clinical variables, MRI models also included MRI parameters. The area under the curve (AUC) of receiver operating characteristic and decision curves were analyzed. The risk of postoperative BF, defined as persistently high or re-elevated prostate serum antigen (PSA) levels in patients with PCa with no clinical recurrence. In the research (age 69 [63–74] years) and validation cohorts (age 69 [64–74] years), the postoperative BF incidence was 22.39% and 27.02%, respectively. In the research cohort, the AUC of baseline and MRI models was 0.780 and 0.857, respectively, with a significant difference (P < 0.05). Validation cohort results were consistent (0.753 vs. 0.865, P < 0.05). At a 20% risk threshold, the false positive rate in the MRI model was lower when compared with the baseline model (31% [95% confidence interval (CI): 9–39%] vs. 44% [95% CI: 15–64%]), with the true positive rate only decreasing by a little (83% [95% CI: 63–94%] vs. 87% [95% CI: 75–100%]). 32 of 100 RPs can been performed, with no raise in quantity of patients with missed BF. We developed and verified a MRI-based model to predict BF incidence in patients after RP using preoperative clinical and MRI-related variables. This model could be used in clinical settings.

Body composition and mortality in men receiving prostate radiotherapy: A pooled analysis of NRG/RTOG 9406 and NRG/RTOG 0126.

To validate the association between body composition and mortality in men treated with radiation for localized prostate cancer (PCa). Secondarily, to integrate body composition as a factor to classify patients by risk of all-cause mortality. Participants of NRG/Radiation Therapy Oncology Group (RTOG) 9406 and NRG/RTOG 0126 with archived computed tomography were included. Muscle mass and muscle density were estimated by measuring the area and attenuation of the psoas muscles on a single slice at L4-L5. Bone density was estimated by measuring the attenuation of the vertebral body at mid-L5. Survival analyses, including Cox proportional hazards models, assessed the relationship between body composition and mortality. Recursive partitioning analysis (RPA) was used to create a classification tree to classify participants by risk of death. Data from 2066 men were included in this study. In the final multivariable model, psoas area, comorbidity score, baseline prostate serum antigen, and age were significantly associated with survival. The RPA yielded a classification tree with four prognostic groups determined by age, comorbidity, and psoas area. Notably, the classification among older (≥70years) men into prognostic groups was determined by psoas area. This study strongly supports that body composition is related to mortality in men with localized PCa. The inclusion of psoas area in the RPA classification tree suggests that body composition provides additive information to age and comorbidity status for mortality prediction, particularly among older men. More research is needed to determine the clinical impact of body composition on prognostic models in men with PCa.

Radiotherapy Induces Innate Immune Responses in Patients Treated for Prostate Cancers.

Radiotherapy is a curative therapeutic modality used to treat cancers as a single agent or in combination with surgery and chemotherapy. Advanced radiotherapy technologies enable treatment with large fractions and highly conformal radiation doses to effect free-radical damage to cellular DNA leading to cell-cycle arrest, cell death, and innate immune response (IIR) stimulation. To understand systemic clinical responses after radiation exposure, proteomic and metabolomic analyses were performed on plasma obtained from patients with cancer at intervals after prostate stereotactic body radiotherapy. Pathway and multivariate analyses were used to delineate molecular alterations following radiotherapy and its correlation with clinical outcomes. DNA damage response increased within the first hour after treatment and returned to baseline by 1 month. IIR signaling also increased within 1 hour of treatment but persisted for up to 3 months thereafter. Furthermore, robust IIR and metabolite elevations, consistent with an early proinflammatory M1-mediated innate immune activation, were observed in patients in remission, whereas patients experiencing prostate serum antigen-determined disease progression demonstrated less robust immune responses and M2-mediated metabolite elevations. To our knowledge, these data are the first report of longitudinal proteomic and metabolomic molecular responses in patients after radiotherapy for cancers. The data supports innate immune activation as a critical clinical response of patients receiving radiotherapy for prostate cancer. Furthermore, we propose that the observed IIR may be generalized to the treatment of other cancer types, potentially informing multidisciplinary therapeutic strategies for cancer treatment.

Stereotactic ablative radiotherapy for oligometastatic prostate cancer.

The present study assessed clinical outcomes of stereotactic body radiotherapy (SBRT) in oligometastatic prostate cancer patients. Between 2017 and 2020, 37 lesions (12 osseous and 25 nodal targets) detected with conventional and/or functional imaging, were treated in 29 patients (pts), in different clinical settings: de novo oligometastatic (2 pts), oligorecurrent castration-sensitive (19 pts), castration-resistant (6 pts) prostate cancers and oligoprogressive disease during systemic therapy (2 pts). SBRT was delivered with volumetric modulated arc therapy up to a total dose of 21 Gy given in 3 fractions for bone and 30 Gy in 5 fractions for nodal metastases. A total of 34% of pts received hormonal therapy. We evaluated biochemical control [prostate serum antigen (PSA) increase < 10%)], progression free-survival (PFS) (time from SBRT to biochemical progression), local control (LC) (time from SBRT to in-field radiologic progression), hormone/systemic therapy-free survival, acute and late toxicities. At 3 months, biochemical response was observed in 20/29 pts (69%). At a median follow-up of 17 months (range 6-33), 8/20 (40%) of the 3-month responders remained free from progression. Two-year PFS and LC were 37% and 70%, respectively. In-field progression occurred in 3/37 (8%) lesions. Hormone/systemic therapy was delayed by an average of 11.6 months (range 3-28). No significant difference in PFS based on the type of lesion or concomitant endocrine therapy was observed and no toxicity > grade 2 was reported. SBRT for oligometastatic prostate cancer offers a good biochemical/local control and tangible delay of hormone/systemic therapy without major toxicities.

Predictive factors for alpha blocker use after transurethral prostatectomy: Can preoperative urodynamic outcome predict alpha blocker medication after surgery?

ObjectiveTo analyze the diagnostic value of conducting urodynamic study (UDS) and show predictors for alpha blocker use 12 months after transurethral prostatectomy.Materials and methodsOur study includes 406 participants that had a transurethral prostatectomy at our hospital between 2010 and 2019. All participants took alpha blockers for more than a month. We collected the participants’ preoperative international prostatic symptom score (IPSS), uroflowmetry, transrectal ultrasound, and serum prostatic antigen (PSA) level. A total of 254 patients conducted UDS. After surgery, participants visited our hospital at 1,3,6, and 12 months.Results133 patients (32.6%) took alpha blockers continuously for 12 months after surgery. They reported poor preoperative IPSS scores and uroflowmetry outcomes. They also had high postoperative PVR (40.68±24.56 vs 29.34±25.11, p<0.001) and total IPSS score (10.35±7.96 vs 8.43±6.74, p = 0.018) compared to the group which discontinued alpha blockers. A multivariate analysis (Table 2) found that conducting preoperative UDS (Odds ratio (OR) 6.067, p<0.001) Age>75 (OR 2.463, p<0.001), a history of taking 5-alpha reductase inhibitors (5-ARI) before surgery (OR 2.186 [95% CI 1.334–3.583], p = 0.002), IPSS item straining (OR 1.224, p = 0.003), duration of taking alpha blockers [OR 1.009, p = 0.020), and Qmax (OR 0.926, p = 0.018), PVR (OR 1.002, p = 0.022) were confirmed as a strong predictors of persistent alpha blocker use.ConclusionConducting preoperative UDS, Age>75, history of taking 5-ARI before surgery, IPSS item straining, duration of alpha blocker medication, Qmax, and PVR are possible determinant factors of alpha blocker use after surgery. By comparing UDS outcomes, detrusor underactivity can be a strong predictor of persisting alpha blocker therapy 12 months after surgery.

A clinical audit snapshot of Prostate Serum Antigen (PSA) test results for Pacific men from two Primary Health Care Clinics in the Auckland region, New Zealand

Prostate cancer is the most common malignancy registered in New Zealand and is the third most common cause of cancer death in men after lung cancer and bowel cancer. Prostate Serum Antigen (PSA) testing has been used to screen for prostate cancer. The following paper provides a clinical audit snapshot of Prostate Serum Antigen (PSA) test results for Pacific men from two Primary Health Care Clinics in the Auckland region, New Zealand. Two Auckland primary health care clinics provided anonymised data on prostate serum test results for their male patients along with ethnicity, age, and birthplace. Descriptive summaries of the data are presented as frequencies and percentages of positive test by age and by ethnic group. Logistic regression analysis was used to test for significant differences by ethnic group, age group and birthplace (NZ born versus overseas born). Two clinics which have predominately Pacific patients provided anonymised results of prostate serum antigen test results from 2009 – 2018. There were 5,787 prostate serum antigen level tests available from clinic 1 and clinic 2 had 493 patients. Most of the clinic patients tested were New Zealand born (5655, 90%) compared to overseas born (625, 10%). Samoans compared to Europeans were significantly more likely to have a positive test compared to Europeans &amp; other ethnicities. Cook Island Maori men were significantly less likely to have a positive test result compared to European and other ethnicities. Older individuals are more likely to have positive PSA results which shows that this is very similar and consistent with the current literature. Those being born overseas compared to being New Zealand born were significantly less likely to have positive serum antigen results.

IgG4-related prostatitis manifesting as urinary obstruction in a 28-year-old male

BackgroundImmunoglobulin G4-related disease (IgG4-RD) is a systemic lymphoproliferative disorder characterized by elevated serum IgG4 levels and tumefactive lesions that can involve nearly every organ system. Involvement of the prostate is rare but has been reported in limited cases.Case presentationA 28-year-old man of Asian descent with a history of sinusitis and priapism presented to hospital with rigors and voiding symptoms. He was diagnosed with IgG4-RD one month prior to presentation, following pathological analysis of a submandibular mass that demonstrated chronic sclerosing sialadenitis. On presentation, white blood cell count, C-reactive protein, and prostate serum antigen levels were all within normal limits. Examination was notable for a large, firm prostate, and a foley catheter was inserted. Contrast CT of the abdomen was unremarkable. Further workup revealed elevated serum IgG4 levels (9.22 g/L) and he was subsequently started on prednisone 35 mg daily. Imaging to screen for systemic IgG4-RD involvement demonstrated paravertebral soft tissue involvement and he was given rituximab 1000 mg IV × 2 doses. MRI revealed diffuse prostatitis. Five days after starting prednisone and one day after his first dose of rituximab, he successfully passed trial of void and was discharged home.ConclusionsIgG4-related prostatitis is a rare and underrecognized manifestation of IgG4-RD. Our case highlights the need to consider IgG4-related prostatitis as an etiology of urinary obstruction in young individuals. Resolution of symptoms following treatment with steroids may be diagnostic of IgG4-related prostatitis, and may potentially avoid the need for invasive diagnostic procedures such as prostate biopsy.

68Ga-PSMA-11 PET/CT-Guided Stereotactic Body Radiation Therapy Retreatment in Prostate Cancer Patients with PSA Failure after Salvage Radiotherapy.

(1) Purpose: To investigate the role of 68Ga-PSMA-11 PET/CT in guiding retreatment stereotactic body radiation therapy (SBRT) in prostate cancer (PCa) patients in biochemical recurrence (BCR) after salvage radiotherapy (S-RT). (2) Methods: We retrospectively evaluated PCa patients previously treated with S-RT on the prostate bed and with proven serum prostate antigen (PSA) failure after S-RT. In all patients (pts), 68Ga-PSMA-11 PET/CT was positive in the prostate bed only and guided retreatment SBRT. All retreatments were performed by applying the same radiotherapy protocol (median dose of 18 Gy/3 fractions; IQR 18–21 Gy). The median follow-up was 27 months (range 4–35 months). (3) Results: 38 consecutive patients were considered in this analysis. The overall median PSA level before RT was 1.10 ng/mL (IQR 0.82–2.59). PSA decreased at 3 and 6 months after treatment, with a median value of 0.60 ng/mL (IQR 0.31–0.96; p < 0.001) and 0.51 ng/mL (IQR 0.29–1.17; p < 0.001), respectively. Overall, biochemical recurrence-free survival (b-RFS) was 15.0 months (95% CI 13–23). Grade-1 toxicity was reported in 31.6% of patients (12/38). (4) Conclusion: These results confirm that 68Ga-PSMA-11-PET/CT is able to identify the site of recurrence in patients who have failed S-RT, thus supporting the use of metastases-directed radiotherapy as a safe and effective treatment.

Over-diagnosed prostate cancer in solid organ recipients: lessons from the last 3 decades.

Prostate cancer (PC) is the most common neoplasia in men. With aging of solid organ transplant recipients (SOTR), its incidence is likely to increase. The aim of this study was to analyze PC screening results retrospectively in renal transplant recipients (RTR), hepatic transplant recipients (HTR) and cardiac transplant recipients (CTR). A retrospective monocentric study of PC diagnosed in renal, hepatic or cardiac transplanted patients since 1989 was performed. All the patients were followed annually by digital rectal examination and prostate serum antigen (PSA) dosage. 57 PC were diagnosed in 1565 SOTR male patients (3.6%): 35 RTR, 15 HTR, and 7 CTR. Standard incidence ratio (SIR) was 41.9. Mean age at the time of diagnosis was 64.5 (60.5-69.2). Mean time between transplantation and PC diagnosis was 95.7 (39.0-139.5) months. Median PSA rate was 7.0 (6.2-13) ng/mL. Clinical stages were T1, T2, and T3, respectively, for 29, 22 and 6 patients. Diagnosis was done by screening in 52 patients, after prostatitis in 1 and bone pain in another. Three PC were discovered on prostate chips after transurethral resection. Two patients were treated by active surveillance. 39 (68%) patients (25 RTR, 11 HTR and 3 CTR) were treated by radical prostatectomy. Histological results were 30 pT2 and 9 pT3 tumors, with 7 positive surgical margins. Gleason score was 5, 6, 7, 8 and 9 in, respectively, in 2, 24, 11, 1 and 1 patients. One patient with positive pelvic nodes was treated with hormonal therapy (HT). One had a biochemical relapse at 10months and underwent salvage radiotherapy. Median follow-up was 85.2months (46.1-115.0). 23 (40.4%) patients died. Two (3.6%) RTR and 1 (1.8%) CTR died from their PC. Standard incidence ratio were, respectively, 42.4, 48.2 and 39 in RTR, HTR and CTR. Systematic screening in male SOTR after 50years old could not be recommended. In the last 3 decades, we diagnosed too many low-risk prostate cancers strongly increasing the SIR but failing to decrease prostate cancer related mortality. SOTR should undergo individual screening with prior MRI when PSA rates are high. Management should not be different from that of the general population.

Biomarker screening for the early detection of prostate cancer using an exosomal-enrichment RNA liquid biopsy test.

e15553 Background: Prostate cancer is one of the most common cancers in men, with approximately 10% of all new cancer cases and ~5% of all cancer deaths in 2019. The standard test for prostate cancer is the Prostate Serum Antigen (PSA) test. The PSA test suffers from low specificity (20-40%) in patients including ‘grey zone’ levels (4-10 ng/mL); moreover, the PSA test fails to identify patients with high-risk cancers. Previously we developed ExoDx Prostate Intelliscore (EPI), a urine-based exosome prostate cancer test optimized to rule out the need for a biopsy (risk stratification for high-grade prostate cancer). This study utilized a next generation exosome-based test that specifically enriches a subtype of prostate cancer exosomes from urine. Early detection of prostate cancer via a non-invasive method is desirable and the identification of patients with high-risk cancer is critical. Here we describe the development of a prostate-specific urinary exosome test for the identification of patients with prostate cancer. Methods: We have developed a prostate-specific enrichment method to isolate exosomes of prostate origin from urine samples. Using an affinity-based method against surface marker proteins found on prostate cells, we were able to selectively enrich for exosomes shed by the prostate gland with demonstrated specificity. Subsequent analysis of exosomal nucleic acids enables a promising panel of gene expression biomarkers capable of distinguishing patients with prostate cancer from healthy individuals. Results: RNA from prostate cancer enriched exosomes was compared to total exosomes from urine. Enrichment of prostate cancer specific exosomes significantly enhanced the RNA signature compared to total urine exosomes. Conclusions: Prostate cancer tests have recently been developed for RNA signatures in urine. Exosomes provide a source of nucleic acids as they are actively shed continuously from living cells as part of their normal life cycle. The urine exosomes can be used for total RNA transcriptome analysis and are therefore a very rich source of biomarkers for prostate cancer that can be tailored to different clinical indications. An affinity-based enrichment for tissue-specific exosomes allow for better resolution of the gene expression profile from the tissue of interest and reduces the RNA targets from non-relevant processes of the bladder and kidneys. The gene signature identified in this ongoing study could potentially provide a non-invasive molecular means for the early diagnosis of prostate cancer.

Small-volume lymph node involvement and biochemical recurrence after robot-assisted radical prostatectomy with extended lymph node dissection in prostate cancer.

We investigated prognostic factors for biochemical recurrence (BCR) after robot-assisted radical prostatectomy (RARP) with extended pelvic lymph node (LN) dissection. We included 173 patients who underwent RARP with extended pelvic LN dissection without neoadjuvant therapy at our hospital between October 2010 and April 2018. BCR was defined as prostate serum antigen (PSA) levels ≥ 0.2ng/mL; BCR-free survival rates were determined using Kaplan-Meier analysis. We used Cox regression analysis to evaluate effects of PSA and pathologic variables on BCR. Median follow-up was 27.9 (range 6.1-86.9) months. Five-year BCR-free survival was 89.5%. In multivariate analysis, positive LNs (HR 7.117; 95% CI 2.826-17.925; P < 0.001) and Gleason score (GS) ≥ 8 (HR 2.612; 95% CI 1.051-6.489; P = 0.039) were significant predictors of BCR. Patients with 1 or 2 positive LNs (n = 10) had significantly higher BCR-free survival rates than patients with ≥ 3 positive LNs (n = 5). We, therefore, stratified the patients as low-risk (GS < 8 and no positive LNs), intermediate-risk: (either GS ≥ 8 or positive LNs) and high-risk (both GS ≥ 8 and positive LNs). Their 1-year BCR-free survival rates were low-risk: 94.6%, intermediate-risk: 88.5%, and high-risk: 33.3% (P < 0.05). Patients with 1-2 positive LNs and GS < 8 have low risk for BCR; close observation without immediate adjuvant hormonal therapy can be considered for these patients.