Perioperative complications and oncological outcomes of open versus robotic-assisted radical cystectomy: a propensity score-matched study.

PURPOSE: To conduct a comparative effectiveness analysis between robot-assisted radical cystectomy (RARC) and open approach (ORC). MATERIALS AND METHODS: A retrospective cohort study was conducted involving all patients undergoing radical cystectomy and urinary diversion for invasive bladder cancer at our institution from 2010 to 2018. Of a total 296 patients, we matched ORC and RARC cases based on age, BMI, Charlson comorbidity index, pathological TN staging of the tumor, prior radiotherapy, and type of diversion. The perioperative complications and oncological outcomes were compared. RESULTS: Eighty-nine patients were matched in the ORC and RARC groups. The median operative time was longer in RARC group (430 min) than that of ORC group (372 min) (p = 0.03); however, the median estimated blood loss (EBL) was significantly lower in RARC group (500 ml) than that of ORC (700 ml) (p < 0.0001). The median length of hospital stay (LOS) was significantly reduced in the RARC group (7 days) compared to the ORC group (8 days) (p = 0.02). There were no significant differences between both groups in 30- and 90-day postoperative complications (p = 0.3 and p = 0.2, respectively). A total of 68 deaths (38.2%) were observed, of which 36 (40.4%) were in ORC group while 32 (36%) were in RARC group (p = 0.5). The results were comparable in both groups regarding 5-year survival rate and cancer-specific survival (p = 0.3 and p = 0.1, respectively). CONCLUSION: RARC showed better perioperative outcomes in the form of less EBL and shortened LOS compared to ORC group. However, both RARC and ORC provide similar postoperative oncologic control, in terms of similar positive surgical margins, cancer-specific rates, and 5-year survival rates.

Immunotherapy for Bladder Cancer: Latest Advances and Ongoing Clinical Trials.

For nearly 50 years, immunotherapy has been used in patients with bladder cancer in the form of Mycobacterium bovis Bacillus Calmette-Guerin (BCG), which is still the first-line therapy for non-muscle invasive disease. However, the remarkable results obtained with checkpoint inhibitor drugs, including Pembrolizumab and Atezolizumab, have fueled the quest to optimize these and other forms of immunotherapy for both non-muscle invasive as well as advanced bladder cancer. In this review we summarize the current state of the rapidly evolving field of immunotherapy in bladder cancer highlighting novel approaches and ongoing trials in this exciting area of research.

Racial and Ethnic Disparities in Hospital Admissions from COVID-19: Determining the Impact of Neighborhood Deprivation and Primary Language.

BACKGROUND: Despite past and ongoing efforts to achieve health equity in the USA, racial and ethnic disparities persist and appear to be exacerbated by COVID-19. OBJECTIVE: Evaluate neighborhood-level deprivation and English language proficiency effect on disproportionate outcomes seen in racial and ethnic minorities diagnosed with COVID-19. DESIGN: Retrospective cohort study SETTING: Health records of 12 Midwest hospitals and 60 clinics in Minnesota between March 4, 2020, and August 19, 2020 PATIENTS: Polymerase chain reaction-positive COVID-19 patients EXPOSURES: Area Deprivation Index (ADI) and primary language MAIN MEASURES: The primary outcome was COVID-19 severity, using hospitalization within 45 days of diagnosis as a marker of severity. Logistic and competing-risk regression models assessed the effects of neighborhood-level deprivation (using the ADI) and primary language. Within race, effects of ADI and primary language were measured using logistic regression. RESULTS: A total of 5577 individuals infected with SARS-CoV-2 were included; 866 (n = 15.5%) were hospitalized within 45 days of diagnosis. Hospitalized patients were older (60.9 vs. 40.4 years, p < 0.001) and more likely to be male (n = 425 [49.1%] vs. 2049 [43.5%], p = 0.002). Of those requiring hospitalization, 43.9% (n = 381), 19.9% (n = 172), 18.6% (n = 161), and 11.8% (n = 102) were White, Black, Asian, and Hispanic, respectively. Independent of ADI, minority race/ethnicity was associated with COVID-19 severity: Hispanic patients (OR 3.8, 95% CI 2.72-5.30), Asians (OR 2.39, 95% CI 1.74-3.29), and Blacks (OR 1.50, 95% CI 1.15-1.94). ADI was not associated with hospitalization. Non-English-speaking (OR 1.91, 95% CI 1.51-2.43) significantly increased odds of hospital admission across and within minority groups. CONCLUSIONS: Minority populations have increased odds of severe COVID-19 independent of neighborhood deprivation, a commonly suspected driver of disparate outcomes. Non-English-speaking accounts for differences across and within minority populations. These results support the ongoing need to determine the mechanisms that contribute to disparities during COVID-19 while also highlighting the underappreciated role primary language plays in COVID-19 severity among minority groups.

Identifying and treating ROBO1-ve /DOCK1+ve prostate cancer: An aggressive cancer subtype prevalent in African American patients.

BACKGROUND: There is a need to develop novel therapies which could be beneficial to patients with prostate cancer (CaP) including those who are predisposed to poor outcome, such as African-Americans. This study investigates the role of ROBO1-pathway in predicting outcome and race-based disparity in patients with CaP. METHODS AND RESULTS: Aided by RNA sequencing-based DECIPHER-testing and immunohistochemical (IHC) analysis of tumors we show that ROBO1 is lost during the progressive stages of CaP, a prevalent feature in African-Americans. We show that the loss of ROBO1 predicts high-risk of recurrence, metastasis and poor outcome of androgen-deprivation therapy in radical prostatectomy-treated patients. These data identified an aggressive ROBO1deficient /DOCK1+ve sub-class of CaP. Combined genetic and IHC data showed that ROBO1 loss is accompanied by DOCK1/Rac1 elevation in grade-III/IV primary-tumors and Mets. We observed that the hypermethylation of ROBO1-promoter contributes to loss of expression that is highly prevalent in African-Americans. Because of limitations in restoring ROBO1 function, we asked if targeting the DOCK1 could be an ideal strategy to inhibit progression or treat ROBO1deficient metastatic-CaP. We tested the pharmacological efficacy of CPYPP, a selective inhibitor of DOCK1 under in vitro and in vivo conditions. Using ROBO1-ve and ROBO1+ve CaP models, we determined the median effective concentration of CPYPP for growth. DOCK1-inhibitor treatment significantly decreased the (a) Rac1-GTP/ß-catenin activity, (b) transmigration of ROBO1deficient cells across endothelial lining, and (c) metastatic spread of ROBO1deficient cells through the vasculature of transgenicfl Zebrafish model. CONCLUSION: We suggest that ROBO1 status forms as predictive biomarker of outcome in high-risk populations such as African-Americans and DOCK1-targeting therapy has a clinical potential for treating metastatic-CaP.

Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel.

Background Prostate MRI is used widely in clinical care for guiding tissue sampling, active surveillance, and staging. The Prostate Imaging Reporting and Data System (PI-RADS) helps provide a standardized probabilistic approach for identifying clinically significant prostate cancer. Despite widespread use, the variability in performance of prostate MRI across practices remains unknown. Purpose To estimate the positive predictive value (PPV) of PI-RADS for the detection of high-grade prostate cancer across imaging centers. Materials and Methods This retrospective cross-sectional study was compliant with the HIPAA. Twenty-six centers with members in the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel submitted data from men with suspected or biopsy-proven untreated prostate cancer. MRI scans were obtained between January 2015 and April 2018. This was followed with targeted biopsy. Only men with at least one MRI lesion assigned a PI-RADS score of 2-5 were included. Outcome was prostate cancer with Gleason score (GS) greater than or equal to 3+4 (International Society of Urological Pathology grade group ≥2). A mixed-model logistic regression with institution and individuals as random effects was used to estimate overall PPVs. The variability of observed PPV of PI-RADS across imaging centers was described by using the median and interquartile range. Results The authors evaluated 3449 men (mean age, 65 years ± 8 [standard deviation]) with 5082 lesions. Biopsy results showed 1698 cancers with GS greater than or equal to 3+4 (International Society of Urological Pathology grade group ≥2) in 2082 men. Across all centers, the estimated PPV was 35% (95% confidence interval [CI]: 27%, 43%) for a PI-RADS score greater than or equal to 3 and 49% (95% CI: 40%, 58%) for a PI-RADS score greater than or equal to 4. The interquartile ranges of PPV at these same PI-RADS score thresholds were 27%-44% and 27%-48%, respectively. Conclusion The positive predictive value of the Prostate Imaging and Reporting Data System was low and varied widely across centers. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Milot in this issue.

A clinical prediction tool to determine the need for concurrent systematic sampling at the time of magnetic resonance imaging-guided biopsy.

OBJECTIVE: To develop a clinical prediction tool that characterises the risk of missing significant prostate cancer by omitting systematic biopsy in men undergoing transrectal ultrasonography/magnetic resonance imaging (TRUS/MRI)-fusion-guided biopsy. PATIENTS AND METHODS: A consecutive sample of men undergoing TRUS/MRI-fusion-guided biopsy with the UroNav® system (Invivo International, Best, The Netherlands) who also underwent concurrent systematic biopsy was included. By comparing the grade of cancer diagnosed on targeted and systematic biopsy cores, we identified cases where clinically significant disease (Gleason score ≥3+4) was only found on systematic and not targeted cores. Multivariable logistic regression analyses were used to identify predictive factors for finding significant cancer on systematic cores only. We then used these data to develop a nomogram and evaluated its utility using decision curve analysis. RESULTS: Of the 398 men undergoing TRUS/MRI-fusion-guided biopsy in our study, there were 46 (11.6%) cases in which clinically significant cancer was missed on targeted biopsy and detected on systematic biopsy. The clinical setting, number of MRI lesions identified, and the highest Prostate Imaging-Reporting and Data System (PI-RADS) score of the lesions, were all found to be predictors of this. Our model had a good discriminative ability (concordance index = 0.70). The results from our decision curve analysis show that this model provides a higher net clinical benefit than either biopsying all men or omitting biopsy in all patients when the threshold probability is <30%. CONCLUSION: We found that omitting concurrent systematic biopsy in men undergoing TRUS/MRI-fusion-guided biopsy would miss significant disease in more than one in 10 patients. We propose a prediction model with good discriminative ability that can be used to improve patient selection for performing concurrent systematic biopsy in order to minimise the number of missed significant cancers. It is important that our model is validated in external cohorts before being employed in routine clinical practice.

Beyond transrectal ultrasound-guided prostate biopsies: available techniques and approaches.

OBJECTIVES: Recent advances have led to the use of magnetic resonance imaging (MRI) alone or with fusion to transrectal ultrasound (TRUS) images for guiding biopsy of the prostate. Our group sought to develop consensus recommendations regarding MRI-guided prostate biopsy based on currently available literature and expert opinion. METHODS: The published literature on the subject of MRI-guided prostate biopsy was reviewed using standard search terms and synthesized and analyzed by four different subgroups from among the authors. The literature was grouped into four categories-MRI-guided biopsy platforms, robotic MRI-TRUS fusion biopsy, template mapping biopsy and transrectal MRI-TRUS fusion biopsy. Consensus recommendations were developed using the Oxford Center for Evidence Based Medicine criteria. RESULTS: There is limited high level evidence available on the subject of MRI-guided prostate biopsy. MRI guidance with or without TRUS fusion can lead to fewer unnecessary biopsies, help identify high-risk (Gleason ≥ 3 + 4) cancers that might have been missed on standard TRUS biopsy and identify cancers in the anterior prostate. There is no apparent significant difference between MRI biopsy platforms. Template mapping biopsy is perhaps the most accurate method of assessing volume and grade of tumor but is accompanied by higher incidence of side effects compared to TRUS biopsy. CONCLUSIONS: Magnetic resonance imaging-guided biopsies are feasible and better than traditional ultrasound-guided biopsies for detecting high-risk prostate cancer and anterior lesions. Judicious use of MRI-guided biopsy could enhance diagnosis of clinically significant prostate cancer while limiting diagnosis of insignificant cancer.

Novel biomarkers for prostate cancer: An evidence-based review for use in clinical practice.

Prostate cancer is a heterogeneous disease with disparate outcomes. Traditional clinical parameters are limited in their ability to differentiate between these cases, and there is uncertainty regarding management strategies. A number of novel biomarkers have emerged, but how best to use them at the point of care remains confusing. In the present review, we describe the most common novel biomarkers, their key supporting literature, and propose a meaningful algorithm for their use in clinical practice. To identify commercially available prostate cancer diagnostic tests, we carried out a PubMed literature search (through May 2016). Only English-language studies were included. We restricted our search to studies published within the past 10 years in order to focus our review on novel data. Secondary sources were also examined. We identified 12 novel biomarkers and categorized them into broad areas of clinical practice: (i) early diagnosis and screening; (ii) staging and primary treatment selection; (iii) post-treatment risk stratification; (iv) advanced disease prognosis and treatment response; and (v) emerging tests. Most validation studies rely on small retrospective cohorts and carry a high risk of bias; furthermore, most cohorts are restricted to Caucasians, with little to no representation of other geographic, racial or ethnic populations. Novel biomarkers for prostate cancer management, while potentially helpful, should not replace standard clinical information and physician judgment. They are currently best suited to serve as an adjunct to existing management tools. Clinicians should have a sound grasp of each biomarker-based test's indications and limitations.

Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology.

Purpose To develop multiparametric magnetic resonance (MR) imaging models to generate a quantitative, user-independent, voxel-wise composite biomarker score (CBS) for detection of prostate cancer by using coregistered correlative histopathologic results, and to compare performance of CBS-based detection with that of single quantitative MR imaging parameters. Materials and Methods Institutional review board approval and informed consent were obtained. Patients with a diagnosis of prostate cancer underwent multiparametric MR imaging before surgery for treatment. All MR imaging voxels in the prostate were classified as cancer or noncancer on the basis of coregistered histopathologic data. Predictive models were developed by using more than one quantitative MR imaging parameter to generate CBS maps. Model development and evaluation of quantitative MR imaging parameters and CBS were performed separately for the peripheral zone and the whole gland. Model accuracy was evaluated by using the area under the receiver operating characteristic curve (AUC), and confidence intervals were calculated with the bootstrap procedure. The improvement in classification accuracy was evaluated by comparing the AUC for the multiparametric model and the single best-performing quantitative MR imaging parameter at the individual level and in aggregate. Results Quantitative T2, apparent diffusion coefficient (ADC), volume transfer constant (K(trans)), reflux rate constant (kep), and area under the gadolinium concentration curve at 90 seconds (AUGC90) were significantly different between cancer and noncancer voxels (P < .001), with ADC showing the best accuracy (peripheral zone AUC, 0.82; whole gland AUC, 0.74). Four-parameter models demonstrated the best performance in both the peripheral zone (AUC, 0.85; P = .010 vs ADC alone) and whole gland (AUC, 0.77; P = .043 vs ADC alone). Individual-level analysis showed statistically significant improvement in AUC in 82% (23 of 28) and 71% (24 of 34) of patients with peripheral-zone and whole-gland models, respectively, compared with ADC alone. Model-based CBS maps for cancer detection showed improved visualization of cancer location and extent. Conclusion Quantitative multiparametric MR imaging models developed by using coregistered correlative histopathologic data yielded a voxel-wise CBS that outperformed single quantitative MR imaging parameters for detection of prostate cancer, especially when the models were assessed at the individual level. (©) RSNA, 2016 Online supplemental material is available for this article.

Elevated hyaluronan and hyaluronan-mediated motility receptor are associated with biochemical failure in patients with intermediate-grade prostate tumors.

BACKGROUND: The clinical course of prostate cancer (PCa) measured by biochemical failure (BF) after prostatectomy remains unpredictable in many patients, particularly in intermediate Gleason score (GS) 7 tumors, suggesting that identification of molecular mechanisms associated with aggressive PCa biology may be exploited for improved prognostication or therapy. Hyaluronan (HA) is a high molecular weight polyanionic carbohydrate produced by synthases (HAS1 through HAS3) and fragmented by oxidative/nitrosative stress and hyaluronidases (HYAL1 through HYAL4, SPAM1) common in PCa microenvironments. HA and HA fragments interact with receptors CD44 and hyaluronan-mediated motility receptor (HMMR), resulting in increased tumor aggressiveness in experimental PCa models. This study evaluated the association of HA-related molecules with BF after prostatectomy in GS7 tumors. METHODS: Tissue microarrays were constructed from a 96-patient cohort. HA histochemistry and HAS2, HYAL1, CD44, CD44v6, and HMMR immunohistochemistry were quantified using digital pathology techniques. RESULTS: HA in tumor-associated stroma and HMMR in malignant epithelium were significantly and marginally significantly associated with time to BF in univariate analysis, respectively. After adjusting for clinicopathologic features, both HA in tumor-associated stroma and HMMR in malignant epithelium were significantly associated with time to BF. Although not significantly associated with BF, HAS2 and HYAL1 positively correlated with HMMR in malignant epithelium. Cell culture assays demonstrated that HMMR bound native and fragmented HA, promoted HA uptake, and was required for a promigratory response to fragmented HA. CONCLUSIONS: HA and HMMR are factors associated with time to BF in GS7 tumors, suggesting that increased HA synthesis and fragmentation within the tumor microenvironment stimulates aggressive PCa behavior through HA-HMMR signaling.

Evaluation of protein biomarkers of prostate cancer aggressiveness.

BACKGROUND: Prognostic multibiomarker signatures in prostate cancer (PCa) may improve patient management and provide a bridge for developing novel therapeutics and imaging methods. Our objective was to evaluate the association between expression of 33 candidate protein biomarkers and time to biochemical failure (BF) after prostatectomy. METHODS: PCa tissue microarrays were constructed representing 160 patients for whom clinicopathologic features and follow-up data after surgery were available. Immunohistochemistry for each of 33 proteins was quantified using automated digital pathology techniques. Relationships between clinicopathologic features, staining intensity, and time to BF were assessed. Predictive modeling using multiple imputed datasets was performed to identify the top biomarker candidates. RESULTS: In univariate analyses, lymph node positivity, surgical margin positivity, non-localized tumor, age at prostatectomy, and biomarkers CCND1, HMMR, IGF1, MKI67, SIAH2, and SMAD4 in malignant epithelium were significantly associated with time to BF. HMMR, IGF1, and SMAD4 remained significantly associated with BF after adjusting for clinicopathologic features while additional associations were observed for HOXC6 and MAP4K4 following adjustment. In multibiomarker predictive models, 3 proteins including HMMR, SIAH2, and SMAD4 were consistently represented among the top 2, 3, 4, and 5 most predictive biomarkers, and a signature comprised of these proteins best predicted BF at 3 and 5 years. CONCLUSIONS: This study provides rationale for investigation of HMMR, HOXC6, IGF1, MAP4K4, SIAH2, and SMAD4 as biomarkers of PCa aggressiveness in larger cohorts.

Under-representation of Diversity on American Urological Association and European Association of Urology Guideline Panels.

OBJECTIVE: To assess the panel composition of the 2 most important guideline developers in urology as equity and acceptability, important domains in clinical guideline development, require broad stakeholder representation. METHODS: Following a predefined protocol, we identified all current AUA and EAU guideline documents. Two authors independently abstracted data including guideline topic, number and roles of panel members, voting status, and academic rank. We determined panel member's gender (woman, man, or nonbinary) and racialization (White or non-White) status based on name, internet picture, pronouns used, bios available, and gender listed on their profile. RESULTS: We identified 31 AUA and 20 EAU guidelines for inclusion. Median panel size was 19 (interquartile range [IQR]: 17; 21) with 12 (IQR: 10; 14) voting members. The average composition of voting panels was predominantly male (81.8%) and White (86.8%). Eleven guideline panels (21.6%) did not include any women, and 9 (17.6%) panels had no representation of individuals from non-White groups. While gender distribution was similar among guidelines of the 2 organizations, the AUA included more voting members from non-White groups (14.3% vs 8.0%; P = .010). Analysis of the AUA panel composition over time revealed stable proportions of female and non-White individuals. CONCLUSION: Both AUA and EAU guidelines exhibit insufficient representation of females and non-White individuals, with no evident improvement observed over time. Implementing more transparent processes that advocate for diverse panel representation may enhance the incorporation of stakeholder values and preferences, thereby improving the dissemination and adoption of guidelines.

Prostate Tissue Microbiome in Patients with Prostate Cancer: A Systematic Review.

Some researchers have speculated that the prostatic microbiome is involved in the development of prostate cancer (PCa) but there is no consensus on certain microbiota in the prostatic tissue of PCa vs. healthy controls. This systematic review aims to investigate and compare the microbiome of PCa and healthy tissue to determine the microbial association with the pathogenesis of PCa. We searched MEDLINE, Embase, and Scopus databases. Articles were screened by two independent and blinded reviewers. Literature that compared the prostatic tissue microbiome of patients with PCa with benign controls was included. We found that PCa may be associated with increased Propionibacterium acnes, the herpesviridae and papillomaviridae families, and Mycoplasma genitalium, but definitive conclusions cannot be drawn from the existing data. Challenges include the difficulty of obtaining uncontaminated tissue samples and securing tissue from healthy controls. As a result, methods are varied with many studies using cancerous and "healthy" tissue from the same prostate. The organisms chosen for each study were also highly variable, making it difficult to compare studies. These issues have led to lower confidence in our results. Overall, further work is warranted to better understand the implications of the prostatic microbiome in the pathogenesis of PCa.

Characteristics and Outcomes of De Novo Genitourinary Malignancy in Solid Organ Transplant Recipients at the University of Minnesota.

BACKGROUND: Studies examining outcomes of genitourinary malignancy (GU) in the solid organ transplant (SOT) population predominantly focus on renal transplant recipients and consist of relatively small cohorts. We aimed to expand knowledge of the characteristics and outcomes of de novo GU malignancies in all patients with SOT at a large tertiary center. METHODS: The SOT database was queried for recipients with de novo bladder, renal cell, and prostate malignancy, and a retrospective chart review was performed. Descriptive statistics and Kaplan-Meier survival estimates were calculated. Cox proportional hazards regression was used for multivariate modeling of predictive factors in the development of GU malignancy. RESULTS: Solid organ transplant recipients with de novo bladder malignancy comprised 64.3% with high grade and 38.1% with advanced stage (≥T2) disease at initial diagnosis. Only 3.7% of patients with de novo renal cell carcinoma presented with metastatic disease, and 13.6% with localized disease developed recurrences. The most common stage in de novo prostate cancer patients was pT3 (52.2%). Kaplan-Meier estimates (95% CI) for 5-year overall (OS) and cancer-specific survival (CSS) were 44.12% (31.13-62.52) and 80.80% (68.85-94.81) for bladder, 78.90% (68.93-90.30) and 96.61% (92.10-100.00) for renal cell, and 81.18% (72.01-91.51) and 96.16% (90.95-100.00) for prostate cancer, respectively. Age at transplant and time from transplant to cancer diagnosis were predictive of de novo bladder cancer OS (P = .042 and .021, respectively). CONCLUSION: To our knowledge, this is the largest single-center cohort examined for GU malignancy after SOT. Bladder and renal cell cancer had worse OS but similar CSS as historical rates for nontransplant patients. De novo prostate cancer had similar CSS.

Transurethral Vapor Ablation in Patients with Intermediate-Risk Localized Prostate Cancer.

Purpose: We report results of a prospective, multicenter single-arm study of transurethral vapor ablation (TUVA) of prostate tissue in patients with unilateral, intermediate-risk, localized prostate cancer (PCa). Materials and Methods: Men ≥45 years of age with biopsy-confirmed unilateral Gleason grade group 2 (GGG2) adenocarcinoma of the prostate, prostate volume of 20-80 cc, and prostate-specific antigen (PSA) ≤15 ng/mL were enrolled. Cystoscopy and transrectal ultrasound (TRUS) guidance were used to deliver ∼103°C water vapor to prostate zones for unilateral hemigland ablation, including destruction of cancers detected by multiparametric MRI (mpMRI) and confirmed by biopsy. The primary outcomes were device-related serious adverse events (SAEs). At 7 days and 6 months postprocedure, the ablation extent was assessed by mpMRI; MRI/TRUS fusion biopsies were completed at 6 months. Quality of life (QOL) was assessed with validated questionnaires. Results: All subjects underwent a single hemigland TUVA procedure. No SAEs occurred. Grade 2 procedure-related AEs included transient urinary retention (n = 4) and erectile (n = 1) or ejaculatory dysfunction (n = 1). At 7 days, mpMRI revealed complete ablation of 14/17 (82%) visible lesions. At 6 months, biopsies showed no Gleason pattern ≥4 or ≥GGG2 cancer on the treated side of prostates in 13/15 (87%) subjects. Ten of 15 (67%) subjects were biopsy negative. Of the 5 biopsy-negative subjects, 2 had one core each of 3 + 4 disease and 3 had one core each of 3 + 3 disease with ≤5% involvement. Median prostate volume was reduced by 40.7% and PSA by 58%. Extensive QOL assessments showed, on average, no appreciable negative effects of treatment. Conclusions: Initial evidence suggests that TUVA is safe in men with intermediate-risk PCa. Preliminary results demonstrate the absence of ≥GGG2 disease on the treated side in 87% of men and a favorable QOL profile.

Management of bladder tumors in pregnancy: A case of tumor prolapse and avulsion during labor.

Pregnancy presents unique obstacles to diagnosis and management of urologic disease. We present a case of a primigravid female with clot retention requiring evacuation in the operating room due to the avulsion of a bladder mass which prolapsed during labor. Tumor pathology demonstrated a low-grade spindle cell lesion positive for progesterone receptor (PR) and high mobility group A2 (HMGA2), suggestive of deep angiomyxoma versus a benign fibroepithelial polyp or inflammatory myofibroblastic tumor.

Prostate cancer screening: issues and controversies.

Prostate cancer is the second leading cause of cancer death among men. Because it has been thought that identifying the disease earlier leads to better outcomes, there has been a great deal of interest in screening for the disease. Since the late 1980s, testing for elevated prostate-specific antigen (PSA) levels in blood has been the most prominent screening tool. Despite widespread adoption of PSA testing, however, it remains controversial. It has been shown that elevated PSA levels do not always indicate cancer and low PSA levels do not ensure that cancer is absent. In addition, there has been conflicting evidence about whether definitive treatment of prostate cancer is always indicated. As a result of the conflicting evidence on the efficacy of PSA testing as a screening tool and the necessity of treatment of prostate cancer in all cases, national organizations have issued various guidelines for screening. Thus, the decision to screen or not to screen remains in the court of the individual patient and physician. This article reviews the current thinking about PSA testing, highlights relevant research findings, and discusses possible changes to screening and treatment that may appear in the near future.

Risk of Genitourinary Malignancy in the Renal Transplant Patient.

OBJECTIVE: To better understand the risk of genitourinary malignancies in the renal transplant patient. Currently, no consensus exists regarding screening and intervention, with much of the clinical decision-making based on historical practices established before recent progress in immunosuppression protocols and in genitourinary cancer diagnosis and management. METHODS: A database of all solid organ transplants performed at the University of Minnesota from 1984 to 2019 was queried for renal transplant recipients in whom development of subsequent urologic malignancies (prostate, bladder, renal, penile, and testicular cancer) was found. RESULTS: Among 6172 renal transplant recipients examined, cumulative incidence of all cancers of genitourinary etiology are presented over an average follow-up time of 10 years. Kidney cancer (combined graft and native), prostate cancer, and bladder cancer each demonstrated respective 30-year incidence of 4.6%, 8.7%, and 1.5% from the time of transplant. By comparison, age-matched data from the Surveillance, Epidemiology, and End Results database demonstrated 30-year cumulative incidence of 1.1%, 11.1%, and 1.7% for kidney cancer, prostate cancer, and bladder cancer respectively. The predominant genitourinary cancer was renal cell cancer, both of the native and of the transplanted kidney (native, n = 64; transplanted, n =11), followed by prostate cancer (n = 63), and bladder cancer (n = 37). CONCLUSION: In this closely followed cohort of renal transplant recipients, renal cancer occurs at a higher incidence rate than in the non-transplanted population, while a lower rate of prostate cancer was found, with bladder cancer demonstrating a comparable cumulative incidence between transplant patients and the national age-matched population.

Racial/Ethnic Disparities in Hospital Admissions from COVID-19 and Determining the Impact of Neighborhood Deprivation and Primary Language.

Background Despite past and ongoing efforts to achieve health equity in the United States, persistent disparities in socioeconomic status along with multilevel racism maintain disparate outcomes and appear to be amplified by COVID-19. Objective Measure socioeconomic factors and primary language effects on the risk of COVID-19 severity across and within racial/ethnic groups. Design Retrospective cohort study. Setting Health records of 12 Midwest hospitals and 60 clinics in the U.S. between March 4, 2020 to August 19, 2020. Patients PCR+ COVID-19 patients. Exposures Main exposures included race/ethnicity, area deprivation index (ADI), and primary language. Main Outcomes and Measures The primary outcome was COVID-19 severity using hospitalization within 45 days of diagnosis. Logistic and competing-risk regression models (censored at 45 days and accounting for the competing risk of death prior to hospitalization) assessed the effects of neighborhood-level deprivation (using the ADI) and primary language. Within race effects of ADI and primary language were measured using logistic regression. Results 5,577 COVID-19 patients were included, 866 (n=15.5%) were hospitalized within 45 days of diagnosis. Hospitalized patients were older (60.9 vs. 40.4 years, p<0.001) and more likely to be male (n=425 [49.1%] vs. 2,049 [43.5%], p=0.002). Of those requiring hospitalization, 43.9% (n=381), 19.9% (n=172), 18.6% (n=161), and 11.8% (n=102) were White, Black, Asian, and Hispanic, respectively. Independent of ADI, minority race/ethnicity was associated with COVID-19 severity; Hispanic patients (OR 3.8, 95% CI 2.72-5.30), Asians (OR 2.39, 95% CI 1.74-3.29), and Blacks (OR 1.50, 95% CI 1.15-1.94). ADI was not associated with hospitalization. Non-English speaking (OR 1.91, 95% CI 1.51-2.43) significantly increased odds of hospital admission across and within minority groups. Conclusions Minority populations have increased odds of severe COVID-19 independent of neighborhood deprivation, a commonly suspected driver of disparate outcomes. Non-English-speaking accounts for differences across and within minority populations. These results support the continued concern that racism contributes to disparities during COVID-19 while also highlighting the underappreciated role primary language plays in COVID-19 severity across and within minority groups.