[Incidence, therapy, and prognosis of prostate cancer in Baden-Württemberg: analysis based on cancer registry data]. / Inzidenz, Behandlung und Prognose des Prostatakarzinoms in Baden-Württemberg: Analyse anhand von Krebsregisterdaten.

BACKGROUND: Prostate cancer (PCa) is the most common solid tumor in men in Germany. Collection of epidemiological and clinical data has been centralized for several years due to legal requirements via the state cancer registries. Thus, the reporting of diagnosis, therapy, and progression of cancer is obligatory in Germany. These data needs to be processed based on the questions of the treating physicians. OBJECTIVES: Intention of this work was to present the development of new cases, disease stages, treatment procedures and prognosis of PCa in Baden-Württemberg (BW). METHODS: For this purpose, data of the cancer registry BW regarding patients with PCa first diagnosed between 2013 and 2021 were evaluated. The evaluation was performed using descriptive statistics, Χ2 test and Kaplan-Meier analysis. RESULTS: A total of 84,347 new diagnoses of PCa were reported. Clinical stage was present in 55.3% of patients. Assignment by International Society of Urological Pathology (ISUP) groups was present in 75.7%. A steady increase in primary diagnosis was evident through 2019. The proportion of primary metastatic disease decreased (2013: 19.6% vs. 2021: 12.0%), and the proportion of localized tumors increased (2013: 65.5% vs. 2021: 77.1%). Radical prostatectomy (RP) dominated the treatment of localized tumors with a mean of 60.1%. The proportion of robot-assisted surgery increased from 23.7% (2013) to 60.8% (2021) with a decrease in the R1 rate from 34.8 to 26.2%. Progression-free survival correlated closely with tumor stage and ISUP group. CONCLUSION: An increase in PCa cases and a decrease of advanced tumors were observed. Treatment was mostly surgical in localized stages, with increasing proportion of robotic-assisted RP. Early diagnosis and treatment are critical for long-term prognosis.

Cyclin A2 Expression as Predictive Biomarker in Muscle-Invasive Upper Tract Urothelial Carcinoma.

INTRODUCTION: The aim was to evaluate the prognostic value of altered Cyclin A2 (CCNA2) gene expression in upper tract urothelial carcinoma (UTUC) and to assess its predictive potential as a prognostic factor for overall survival (OS) and disease-free survival. METHODS: 62 patients who underwent surgical treatment for UTUC were included. Gene expression of CCNA2, MKI67, and p53 was analyzed by quantitative reverse transcriptase polymerase chain reaction. Survival analyses were performed using the Kaplan-Meier method and the log-rank test. For Cox regression analyses, uni- and multivariable hazard ratios were calculated. Spearman correlation was used to analyze correlation of CCNA2 expression with MKI67 and p53. RESULTS: The median age of the cohort was 73 years, and it consisted of 48 males (77.4%) and 14 females (22.6%). Patients with high CCNA2 expression levels showed longer OS (HR 0.33; 95% CI: 0.15-0.74; p = 0.0073). Multivariable Cox regression analyses identified CCNA2 overexpression (HR 0.37; 95% CI: 0.16-0.85; p = 0.0189) and grading G2 (vs. G3) (HR 0.39; 95% CI: 0.17-0.87; p = 0.0168) to be independent predictors for longer OS. CCNA2 expression correlated positively with MKI67 expression (Rho = 0.4376, p = 0.0005). CONCLUSION: Low CCNA2 expression is significantly associated with worse OS. Thus, CCNA2 might serve as a potential biomarker in muscle-invasive UTUC and may be used to characterize a subset of patients having an unfavorable outcome and for future risk assessment scores.

Maximizing efficiency and ensuring safety: Exploring the outcomes of 2 consecutive open radical cystectomies by the same team within a single surgical day.

BACKGROUND: The purpose of this study was to evaluate the outcomes of performing 2 consecutive open radical cystectomies (RCs) within 1 day by the same surgical team. PATIENTS AND METHODS: A retrospective analysis was conducted on data from patients who underwent RC at a single tertiary care center from January 2015 to February 2023. Patient characteristics, perioperative outcomes and endpoints were analyzed. Univariable and multivariable logistic regression models were created to predict major complications. RESULTS: A total of 657 patients were included in the final cohort, containing 64 paired RCs (32 RC1 and 32 RC2) and 593 single RCs. Major complications occurred in 24.7% of the entire cohort, with no significant differences between single RC vs. RC1 and RC2. Paired RCs showed significantly shorter operative time (OT; p = 0.001) and length of stay (LOS; p = 0.047) compared to single RCs. There were no significant differences in transfusion rates, 30-day readmission, 30-day mortality, or histopathological results between paired and single RCs. Multivariable analysis identified patient characteristics such as age (OR = 1.67, p = 0.03), sex (OR = 0.45, p = 0.008), BMI (OR = 1.98, p = 0.007), ASA-score (OR = 1.61, p = 0.04), and OT (OR = 1.87, p = 0.008) as independent predictors of major complications. CONCLUSION: Performing 2 consecutive open RCs within 1 day by the same surgical team is a safe approach in experienced hands. This strategy optimizes the utilization of surgical resources and addresses the growing demand for urologic care while maintaining high-quality patient care. Preoperative planning should consider patient-specific factors to minimize risks associated with major complications. MICRO ABSTRACT: This study evaluates the outcomes of performing 2 consecutive open radical cystectomies (RC) in a single day by the same surgical team. Data from 657 patients who underwent RC at a single tertiary medical center proved that this approach is safe, with no significant differences in major complications. Preoperative planning should consider patient-specific factors for efficient utilization of surgical resources.

Peritoneal Flap for Lymphocele Prophylaxis Following Robotic-assisted Radical Prostatectomy with Lymph Node Dissection: The Randomised Controlled Phase 3 PELYCAN Trial.

BACKGROUND: Symptomatic lymphoceles (SLCs) after transperitoneal robotic-assisted radical prostatectomy with pelvic lymph node dissection (PLND) are common. Evidence from randomised controlled trials (RCTs) on the impact of peritoneal flaps (PFs) on lymphocele (LC) reduction is inconclusive. OBJECTIVE: To show that addition of PFs leads to a reduction of postoperative SLCs. DESIGN, SETTING, AND PARTICIPANTS: An investigator-initiated, prospective, parallel, double-blinded, adaptive, phase 3 RCT was conducted. Recruitment took place from September 2019 until December 2021; 6-month written survey-based follow-up was recorded. Stratification was carried out according to potential LC risk factors (extended PLND, diabetes mellitus, and anticoagulation) and surgeons; 1:1 block randomisation was used. Surgeons were informed about allocation after completion of the last surgical step. INTERVENTION: To create PFs, the ventral peritoneum was incised bilaterally and fixated to the pelvic floor. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary endpoint was SLCs. Secondary endpoints included asymptomatic lymphoceles (ALCs), perioperative parameters, and postoperative complications. RESULTS AND LIMITATIONS: In total, 860 men were screened and 551 randomised. Significant reductions of SLCs (from 9.1% to 3.7%, p = 0.005) and ALCs (27.2% to 10.3%, p < 0.001) over the follow-up period of 6 mo were observed in the intention-to-treat analysis. Operating time was 11 min longer (p < 0.001) in the intervention group; no significant differences in amount (80 vs 103, p = 0.879) and severity (p = 0.182) of postoperative complications (excluding LCs) were observed. The survey-based follow-up might be a limitation. CONCLUSIONS: This is the largest RCT evaluating PF creation for LC prevention and met its primary endpoint, the reduction of SLCs. The results were consistent among all subgroup analyses including ALCs. Owing to the subsequent reduction of burden for patients and the healthcare system, establishing PFs should become the new standard of care. PATIENT SUMMARY: A new technique-creation of bilateral peritoneal flaps-was added to the standard procedure of robotic-assisted prostatectomy for lymph node removal. It was safe and decreased lymphocele development, a common postoperative complication and morbidity. Hence, it should become a standard procedure.

A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma.

PURPOSE: To develop and validate an interpretable deep learning model to predict overall and disease-specific survival (OS/DSS) in clear cell renal cell carcinoma (ccRCC). METHODS: Digitised haematoxylin and eosin-stained slides from The Cancer Genome Atlas were used as a training set for a vision transformer (ViT) to extract image features with a self-supervised model called DINO (self-distillation with no labels). Extracted features were used in Cox regression models to prognosticate OS and DSS. Kaplan-Meier for univariable evaluation and Cox regression analyses for multivariable evaluation of the DINO-ViT risk groups were performed for prediction of OS and DSS. For validation, a cohort from a tertiary care centre was used. RESULTS: A significant risk stratification was achieved in univariable analysis for OS and DSS in the training (n = 443, log rank test, p < 0.01) and validation set (n = 266, p < 0.01). In multivariable analysis, including age, metastatic status, tumour size and grading, the DINO-ViT risk stratification was a significant predictor for OS (hazard ratio [HR] 3.03; 95%-confidence interval [95%-CI] 2.11-4.35; p < 0.01) and DSS (HR 4.90; 95%-CI 2.78-8.64; p < 0.01) in the training set but only for DSS in the validation set (HR 2.31; 95%-CI 1.15-4.65; p = 0.02). DINO-ViT visualisation showed that features were mainly extracted from nuclei, cytoplasm, and peritumoural stroma, demonstrating good interpretability. CONCLUSION: The DINO-ViT can identify high-risk patients using histological images of ccRCC. This model might improve individual risk-adapted renal cancer therapy in the future.

Patient Compliance in Assessing Electronic Patient-Reported Outcome Measures after Urologic Surgery.

INTRODUCTION: This study aimed to assess patient compliance with a newly established electronic patient-reported outcome measure (ePROM) system after urologic surgery and to identify influencing factors. METHODS: Digital surveys were provided to patients undergoing cystectomy, radical or partial nephrectomy, or transurethral resection of bladder tumor via a newly established ePROM system. Participants received a baseline survey preoperatively and several follow-up surveys postoperatively. Multivariable regression analysis was performed to identify factors predicting compliance. RESULTS: Of N = 435 eligible patients, n = 338 completed the baseline survey (78.0%). Patients who did not participate were significantly more likely male (p = 0.004) and older than 70 years (p = 0.005). Overall, 206/337 patients (61.3%) completed the survey at 1-month, 167/312 (53.5%) at 3-month, and 142/276 (51.4%) at 6-month follow-up. Lower baseline quality of life (odds ratio: 2.27; p = 0.004) was a significant predictor for dropout at 1-month follow-up. Low educational level was significantly associated with low compliance at 3- (OR: 1.92; p = 0.01) and 6-month follow-up (OR: 2.88; p < 0.001). CONCLUSION: Acceptable compliance rates can be achieved with ePROMs following urologic surgery. Several factors influence compliance and should be considered when setting-up ePROM surveys.

Prospective, Randomized Comparative Evaluation of a Novel Hands-On Endourology Training Curriculum.

INTRODUCTION: The aim of this randomised prospective trial was to evaluate a novel hands-on endourological training programme (HTP) and compare it to the standard endourological colloquium (SC). METHODS: A new HTP was created based on a sequence of theoretical, video-based, and practical elements emphasising contemporary teaching methods. An existing SC in which live endourological operations were attended served as a comparison. Medical students were enrolled in a ratio of 1:2 (SC:HTP). Objective knowledge questionnaires (5 questions, open answers) and subjective Likert-type questionnaires (rating 1-3 vs. 4-5) were used for evaluation. Primary endpoint was urological knowledge transfer; secondary endpoints were learning effects, progression, and urological interest. RESULTS: 167 students (SC n = 52, HTP n = 115) were included. The knowledge assessment showed a significant increase in knowledge transfer benefitting the HTP on all 5 surveyed items (mean: n = 4/5/4/3/2 vs. n = 2/3/1/1, p < 0.0001). Interest and duration of the course were rated significantly more positively by HTP students (100.0/95.0% vs. 85.0/70.0%, p < 0.0001). The HTP students were significantly more confident in performing a cystoscopy independently (HTP 43.5% vs. SC 11.5%, p < 0.0001) and significantly claimed more often to have gained interdisciplinary and urological skills during the course (HTP 90.0/96.5% vs. SC 23.1/82.7%, p < 0.0001/p = 0.003). HTP students were also more likely to take the course again (HTP 98.2% vs. SC 59.6%, p < 0.0001). CONCLUSION: Modifying endourological teaching towards hands-on teaching resulted in stronger course interest, greater confidence regarding endourologic procedures, and significantly increased urologic knowledge transfer.

Integrin Expression in Localized Prostate Cancer: A TCGA and MSKCC Cohort-based Exploratory In Silico Analysis.

BACKGROUND/AIM: Diagnostic and prognostic biomarkers in localized prostate cancer (PC) are insufficient. Treatment stratification relies on prostate-specific antigen, clinical tumor staging and International Society of Urological Pathology (ISUP) grading, whereas molecular profiling remains unused. Integrins (ITG) have an important function in bidirectional signaling and are associated with progression, proliferation, perineural invasion, angiogenesis, metastasis, neuroendocrine differentiation, and a more aggressive disease phenotype in PC. However, ITG subunit expression in localized PC and their utility as prognostic biomarkers has not yet been analyzed. This study aimed to fill this gap and provide a comprehensive overview of ITG expression as well as ITG utility as biomarkers. PATIENTS AND METHODS: The Cancer Genome Atlas (TCGA) and the Memorial Sloan Kettering Cancer Center (MSKCC) prostate adenocarcinoma cohorts were analyzed regarding ITG expression in correlation to ISUP, N- and American Joint Committee on Cancer (AJCC) stage and were correlated with disease-free survival (DFS). Statistical tests used included the Mann-Whitney U-test, logrank test and uni- and multivariable cox regression analyses. RESULTS: After grouping for ISUP (1 and 2 vs. 3-5), N0 vs. N1 and AJCC stage (≤2 vs. ≥3), multiple ITGs showed significant expression differences. The most consistent results were observed for ITGα4, ITGαX, ITGα11, ITGß2 and ITGα2. In multivariable cox regression, ITGα2, ITGα10, ITGαD, ITGαB2 (TCGA), ITGα11 and ITGß4 (MSKCC) were independent predictors of DFS. CONCLUSION: The utility of ITGs as PC biomarkers was herein shown.

Systemic inflammatory biomarkers as predictive and prognostic factors in men with metastatic castration-refractory prostate cancer treated with docetaxel therapy: a comprehensive analysis in a German real-world cohort.

PURPOSE: Advances in therapy of metastatic castration-refractory prostate cancer (mCRPC) resulted in more therapeutic options and led to a higher need of predictive/prognostic biomarkers. Systemic inflammatory biomarkers could provide the basis for personalized treatment selection. This study aimed to assess the modified Glasgow Prognostic Score (mGPS), the neutrophile-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR) and the systemic immune-inflammation index (SII) in men with mCRPC under docetaxel. METHODS: Patients with mCRPC and taxane chemotherapy at a tertiary care centre between 2010 and 2019 were screened retrospectively. The biomarkers mGPS, NLR, PLR and SII were assessed and analyzed for biochemical/radiologic response and survival. RESULTS: We included 118 patients. Of these, 73 (61.9%) had received docetaxel as first-line, 31 (26.2%) as second-line and 14 (11.9%) as third-line treatment. For biochemical response, mGPS (odds ratio (OR) 0.54, p = 0.04) and PLR (OR 0.63, p = 0.04) were independent predictors in multivariable analysis. SII was significant in first-line cohort only (OR 0.29, p = 0.02). No inflammatory marker was predictive for radiologic response. In multivariable analysis, mGPS and NLR (hazard ratio (HR) 1.71 and 1.12, both p < 0.01) showed significant association with OS in total cohort and mGPS in the first-line cohort (HR 2.23, p < 0.01). Haemoglobin (Hb) and alkaline phosphatase (AP) showed several significant associations regarding 1 year, 3 year, OS and biochemical/radiologic response. CONCLUSIONS: Pre-treatment mGPS seems a promising prognostic biomarker. A combination of mGPS, NLR and further routine markers (e.g., Hb and AP) could yield optimized stratification for treatment selection. Further prospective and multicentric assessment is needed.

Changes in neutrophile-to-lymphocyte ratio as predictive and prognostic biomarker in metastatic prostate cancer treated with taxane-based chemotherapy.

OBJECTIVES: To assess the predictive and prognostic value of changes in longitudinal neutrophile-to-lymphocyte (NLR) ratios in men receiving taxane-based chemotherapy for metastatic prostate cancer (PC). METHODS: Retrospective, unicentric cohort study of patients treated with either docetaxel for metastatic hormone-sensitive PC (mHSPC) or docetaxel or cabazitaxel for metastatic castration-refractory PC (mCRPC) at a tertiary referral hospital between 2010 and 2019. NLR ratios were calculated for each cycle. Next, slopes over the first three (NLR3) and over six cycles (NLR6) were calculated and analysed for biochemical/radiologic response and survival. RESULTS: A total of 36 mHSPC (docetaxel), 118 mCRPC (docetaxel) and 38 mCRPC (cabazitaxel) patients were included. NLR3 was significantly associated with 1-year-survival, radiographic and biochemical response in mCRPC (docetaxel) in uni- and multivariable analyses. In mCRPC (docetaxel), positive NLR3s were associated with favourable 1-year-survival. CONCLUSION: This study demonstrated NLR3 as a prognostic marker in men receiving docetaxel for mCRPC. NLR3 might be a clinical tool to reflect the individual's response to taxane-based chemotherapy. Thereby, NLR3 could complement existing biomarkers and help to early identify treatment failure before complications arise. Further prospective and multicentric studies are needed to extend and confirm the presented results.

Artificial intelligence for renal cancer: From imaging to histology and beyond.

Artificial intelligence (AI) has made considerable progress within the last decade and is the subject of contemporary literature. This trend is driven by improved computational abilities and increasing amounts of complex data that allow for new approaches in analysis and interpretation. Renal cell carcinoma (RCC) has a rising incidence since most tumors are now detected at an earlier stage due to improved imaging. This creates considerable challenges as approximately 10%-17% of kidney tumors are designated as benign in histopathological evaluation; however, certain co-morbid populations (the obese and elderly) have an increased peri-interventional risk. AI offers an alternative solution by helping to optimize precision and guidance for diagnostic and therapeutic decisions. The narrative review introduced basic principles and provide a comprehensive overview of current AI techniques for RCC. Currently, AI applications can be found in any aspect of RCC management including diagnostics, perioperative care, pathology, and follow-up. Most commonly applied models include neural networks, random forest, support vector machines, and regression. However, for implementation in daily practice, health care providers need to develop a basic understanding and establish interdisciplinary collaborations in order to standardize datasets, define meaningful endpoints, and unify interpretation.

Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.

For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are routinely implemented in clinical practice. Artificial intelligence-based image analysis has the potential to improve outcome prediction and thereby risk stratification. Thus, we investigated whether a convolutional neural network (CNN) can extract relevant image features from a representative hematoxylin and eosin-stained slide to predict 5-year overall survival (5y-OS) in ccRCC. The CNN was trained to predict 5y-OS in a binary manner using slides from TCGA and validated using an independent in-house cohort. Multivariable logistic regression was used to combine of the CNNs prediction and clinicopathological parameters. A mean balanced accuracy of 72.0% (standard deviation [SD] = 7.9%), sensitivity of 72.4% (SD = 10.6%), specificity of 71.7% (SD = 11.9%) and area under receiver operating characteristics curve (AUROC) of 0.75 (SD = 0.07) was achieved on the TCGA training set (n = 254 patients / WSIs) using 10-fold cross-validation. On the external validation cohort (n = 99 patients / WSIs), mean accuracy, sensitivity, specificity and AUROC were 65.5% (95%-confidence interval [CI]: 62.9-68.1%), 86.2% (95%-CI: 81.8-90.5%), 44.9% (95%-CI: 40.2-49.6%), and 0.70 (95%-CI: 0.69-0.71). A multivariable model including age, tumor stage and metastasis yielded an AUROC of 0.75 on the TCGA cohort. The inclusion of the CNN-based classification (Odds ratio = 4.86, 95%-CI: 2.70-8.75, p < 0.01) raised the AUROC to 0.81. On the validation cohort, both models showed an AUROC of 0.88. In univariable Cox regression, the CNN showed a hazard ratio of 3.69 (95%-CI: 2.60-5.23, p < 0.01) on TCGA and 2.13 (95%-CI: 0.92-4.94, p = 0.08) on external validation. The results demonstrate that the CNN's image-based prediction of survival is promising and thus this widely applicable technique should be further investigated with the aim of improving existing risk stratification in ccRCC.

Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology.

INTRODUCTION: Artificial intelligence (AI) has been successfully applied for automatic tumor detection and grading in histopathological image analysis in urologic oncology. The aim of this review was to assess the applicability of these approaches in image-based oncological outcome prediction. EVIDENCE ACQUISITION: A systematic literature search was conducted using the databases MEDLINE through PubMed and Web of Science up to April 20, 2021. Studies investigating AI approaches to determine the risk of recurrence, metastasis, or survival directly from H&E-stained tissue sections in prostate, renal cell or urothelial carcinoma were included. Characteristics of the AI approach and performance metrics were extracted and summarized. Risk of bias (RoB) was assessed using the PROBAST tool. EVIDENCE SYNTHESIS: 16 studies yielding a total of 6658 patients and reporting on 17 outcome predictions were included. Six studies focused on renal cell, six on prostate and three on urothelial carcinoma while one study investigated renal cell and urothelial carcinoma. Handcrafted feature extraction was used in five, a convolutional neural network (CNN) in six and a deep feature extraction in four studies. One study compared a CNN with handcrafted feature extraction. In seven outcome predictions, a multivariable comparison with clinicopathological parameters was reported. Five of them showed statistically significant hazard ratios for the AI's model's-prediction. However, RoB was high in 15 outcome predictions and unclear in two. CONCLUSIONS: The included studies are promising but predominantly early pilot studies, therefore primarily highlighting the potential of AI approaches. Additional well-designed studies are needed to assess the actual clinical applicability.

Baseline Modified Glasgow Prognostic Score (mGPS) Predicts Radiologic Response and Overall Survival in Metastatic Hormone-sensitive Prostate Cancer Treated With Docetaxel Chemotherapy.

BACKGROUND/AIM: To assess the baseline inflammatory markers modified Glasgow Prognostic Score (mGPS), systemic immune-inflammation index (SII), and neutrophile-to-lymphocyte ratio (NLR) as pragmatic tools for predicting response to chemohormonal therapy (docetaxel plus ADT) and prognosis in men with metastatic hormone-sensitive prostate cancer (mHSPC). PATIENTS AND METHODS: Male patients who received docetaxel at a tertiary university care center between 2014 and 2019 were screened for completion of 6 cycles. NLR, SII, mGPS, overall survival (OS), three-year survival, and radiologic response were assessed. Complete response (CR), partial response (PR), and stable disease (SD) were analyzed alone and in combination. RESULTS: Thirty-six mHSPC-patients were included. In thirty patients, baseline mGPS was assessed and was either 0 (n=22) or 2 (n=8). In Cochran-Armitage Trend Test, mGPS showed significant association with the combined radiologic endpoint of "CR, PR, or SD" (p=0.01), three-year survival (p=0.02), and OS (p<0.01). Next to prostate-specific antigen (PSA) (HR per 100 units 1.16, 95%CI=1.04-1.30, p<0.01), NLR (HR=1.31, 95%CI=1.03-1.66, p=0.03), and mGPS (2 vs. 0, HR=6.53, 95%CI=1.6-27.0, p<0.01) at baseline showed significant association with OS in univariable cox regression. However, mGPS remained the only independent predictor for OS in multivariable cox regression (p<0.01) and for the combined radiologic endpoint of "CR, PR or SD" (p=0.01) in multivariable logistic regression. SII showed no statistical relevance. CONCLUSION: Baseline mGPS seems to be a pragmatic tool for clinical decision-making in patients with mHSPC in daily routine.

Onset and burden of lower limb lymphedema after radical prostatectomy: a cross-sectional study.

OBJECTIVES: To explore men's onset and burden of lower limb lymphedema (LLL) after radical prostatectomy (RP) with pelvic lymph node dissection (PLND). PATIENTS AND METHODS: A cross-sectional survey-based study was conducted nation-wide and web-based in Germany. Part 1 included 15 multidisciplinary compiled questions with three questions from the Short Form 12 Health Survey (SF-12) and the WHO activity recommendation and part 2 included the validated German Lymph-ICF-Questionnaire (Lymph-ICF-LL). Subgroup comparisons and simple regression analyses were used to identify factors associated with therapy and burden of LLL, followed by multiple regression analyses to explain variance in impairment in the patients' daily life. RESULTS: Fifty-four patients completed the survey. Median time of LLL-onset was reported with 2.0 (0.5-9.75) months after RP. Nineteen patients (35.2%) reported bilateral lymphedema, 28 (51.9%) the use of individually fitted compression stockings (CS), 25 (46.3%) of manual lymphatic drainage (LD), and 26 (48.1%) complete regression. The Lymph-ICF-LL revealed a higher total burden for patients with an active LLL compared to complete regression (total score: 25.5 vs. 11.9, p = 0.01) especially for "physical function" (28.3 vs. 12.9, p < 0.01) and "mental function" (26.2 vs. 6.7, p < 0.01). In multiple linear regression analysis, a higher BMI (ß = 0.28), lower subjective general health (ß = -0.48), and active lymphedema (ß = 0.28) were significant predictors of higher reported impairments in the Lymph-ICF-LL, accounting for 45.4% of variance. CONCLUSION: Men with LLL after RP with PLND report a significant burden in daily life. Basic therapy needs to be offered early. Postoperative onset of LLL is variable, which should be considered when assessing complications after RP.

High IL-22RA1 gene expression is associated with poor outcome in muscle invasive bladder cancer.

BACKGROUND: The cell surface interleukin 22 (IL-22) receptor complex is mainly expressed in epithelial and tissue cells like pancreatitis cells. Recent studies described that IL-22R was overexpressed in malignant diseases and was associated with a poor overall survival (OS). The role of IL-22RA1 gene expression in muscle invasive bladder cancer (MIBC) has not been investigated, yet. OBJECTIVES: The aim of this study was to analyze the role of IL-22RA1 gene expression in patients with MIBC. METHODS: In a cohort of 114 patients with MIBC who underwent radical cystectomy, IL-22RA1 gene expression was analyzed with qRT-PCR and correlated with clinical parameters. Furthermore, Kaplan-Meier and Cox regression analysis were performed. For validation, an in silico dataset (TCGA 2017, n=407) was reanalyzed. RESULTS: IL-22RA1 gene expression was independent of clinicopathological parameters like age (P=0.2681), T stage (P=0.2130), nodal status (P=0.3238) and lymph vascular invasion (LVI, P=0.5860) in patients with MIBC. A high expression of IL-22RA1 was associated with a shorter OS (P=0.0040) and disease-specific survival (P=0.0385). Furthermore, a shorter disease-free survival (DFS) was also associated with a high expression of IL-22RA1 (P=0.0102). In the multivariable analysis, IL-22RA1 expression was an independent prognostic predictors regarding OS (P=0.0096, HR=0.48). In the TCGA cohort, IL-22RA1 expression was independent regarding to OS and DFS. CONCLUSION: A high IL-22RA1 gene expression was associated with worse outcome. Furthermore, IL-22RA1 represented an independent predictor regarding OS in our cohort and therefore might be used for risk stratification in patients with MIBC.

Validation of a German translation of the CARE questionnaire and its implementation as electronic PROM to assess patient-reported postoperative convalescence and recovery after major urological surgery.

PURPOSE: To validate a German translation of the convalescence and recovery evaluation (CARE) as an electronic patient-reported outcome measure (ePROM) and use it to assess recovery after major urological surgery. METHODS: The CARE questionnaire was provided to patients scheduled for major urological surgery preoperatively, at discharge and 6 weeks postoperatively, using an ePROM system. Cronbach's alpha, inter-scale correlations and confirmatory factor analysis (CFA) were used to validate the translation. Mixed linear regression models were used to identify factors influencing CARE results, and a multivariable logistic regression analysis was done to determine the predictive value of CARE results on quality of life (QoL). RESULTS: A total of 283 patients undergoing prostatectomy (n = 146, 51%), partial/radical nephrectomy (n = 70, 25%) or cystectomy (n = 67, 24%) responded to the survey. Internal consistency was high (α = 0.649-0.920) and the CFA showed a factor loading > 0.5 in 17/27 items. Significant main effects were found for the time of survey and type of surgery, while a time by type interaction was only found for the gastrointestinal subscale ([Formula: see text] = 30.37, p < 0.0001) and the total CARE score (TCS) ([Formula: see text] = 13.47, p = 0.009) for cystectomy patients, meaning a greater score decrease at discharge and lower level of recovery at follow-up. Complications demonstrated a significant negative effect on the TCS ([Formula: see text] = 8.61, p = 0.014). A high TCS at discharge was an independent predictor of a high QLQ-C30 QoL score at follow-up (OR = 5.26, 95%-CI 1.42-19.37, p = 0.013). CONCLUSION: This German translation of the CARE can serve as a valid ePROM to measure recovery and predict QoL after major urological surgery.

Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer.

OBJECTIVE: To develop a new digital biomarker based on the analysis of primary tumour tissue by a convolutional neural network (CNN) to predict lymph node metastasis (LNM) in a cohort matched for already established risk factors. PATIENTS AND METHODS: Haematoxylin and eosin (H&E) stained primary tumour slides from 218 patients (102 N+; 116 N0), matched for Gleason score, tumour size, venous invasion, perineural invasion and age, who underwent radical prostatectomy were selected to train a CNN and evaluate its ability to predict LN status. RESULTS: With 10 models trained with the same data, a mean area under the receiver operating characteristic curve (AUROC) of 0.68 (95% confidence interval [CI] 0.678-0.682) and a mean balanced accuracy of 61.37% (95% CI 60.05-62.69%) was achieved. The mean sensitivity and specificity was 53.09% (95% CI 49.77-56.41%) and 69.65% (95% CI 68.21-71.1%), respectively. These results were confirmed via cross-validation. The probability score for LNM prediction was significantly higher on image sections from N+ samples (mean [SD] N+ probability score 0.58 [0.17] vs 0.47 [0.15] N0 probability score, P = 0.002). In multivariable analysis, the probability score of the CNN (odds ratio [OR] 1.04 per percentage probability, 95% CI 1.02-1.08; P = 0.04) and lymphovascular invasion (OR 11.73, 95% CI 3.96-35.7; P < 0.001) proved to be independent predictors for LNM. CONCLUSION: In our present study, CNN-based image analyses showed promising results as a potential novel low-cost method to extract relevant prognostic information directly from H&E histology to predict the LN status of patients with prostate cancer. Our ubiquitously available technique might contribute to an improved LN status prediction.

Partial nephrectomy preserves renal function without increasing the risk of complications compared with radical nephrectomy for renal cell carcinomas of stages pT2-3a.

OBJECTIVES: To compare the operative and functional result of partial and radical nephrectomy in renal cell carcinomas of stages pT2-3a. METHODS: Consecutive patients with renal cell carcinoma of stages pT2-3a, cN0 and cM0, who underwent partial or radical nephrectomy between January 2005 and October 2019 at a tertiary care center were included. Data were collected retrospectively. End-points included severe postoperative complications (Clavien-Dindo classification ≥3), acute and chronic renal function impairment, and overall survival. Uni- and multivariable outcome analyses were based on logistic regression. RESULTS: A total of 158 patients were included (110 radical nephrectomy and 48 partial nephrectomy). Over time, partial nephrectomy was increasingly used. A RENAL score ≥10 was the only independent predictor influencing the surgical approach (radical nephrectomy vs partial nephrectomy, odds ratio 8.62, 95% confidence interval 3.32-22.37, P < 0.001). No significant differences in complications for radical nephrectomy versus partial nephrectomy were found (12.7% vs 8.3%, P = 0.424). Renal function was better preserved in the partial nephrectomy group (the latest chronic kidney disease stage ≥3: radical nephrectomy 73% vs partial nephrectomy 41%, P = 0.005). The surgical approach was a significant factor for chronic kidney disease (odds ratio 51.07, 95% confidence interval 3.57-730.59, P = 0.004). Overall survival did not significantly differ between radical nephrectomy and partial nephrectomy (mean overall survival 85.86 months, 95% confidence interval 3.83-78.36 vs 81.28 months, 95% confidence interval 4.59-72.29, P = 0.702). CONCLUSIONS: In selected patients, partial nephrectomy can be used in large or locally advanced renal cell carcinoma. Compared with radical nephrectomy, it allows better preservation of renal function without harboring an increased risk of severe postoperative complications.

Nephrometry Scores: The Effect of Imaging on Routine Read-out and Prediction of Outcome of Nephron-sparing Surgery.

BACKGROUND/AIM: This study investigated the impact of available preoperative imaging on the reliability and predictive accuracy of RENAL and PADUA nephrometry-scoring systems for renal tumors. PATIENTS AND METHODS: Five urologists determined RENAL and PADUA scores using preoperative imaging data (computed tomography and magnetic resonance imaging) of 100 patients admitted for partial nephrectomy with the following combinations: T0: transverse planes without excretory phase (EP), TC0: transverse and coronal planes without EP, TC1: transverse and coronal planes with EP. Reference standard was obtained by a uro-radiologist. Ischemia time was used as surrogate for surgical complexity. RESULTS: Assignment of EP significantly reduced interobserver-variability among urologists (p<0.0001). Predictive accuracy for surgical complexity or correct assignment to nephrometry risk groups did not depend on image planes or EP. CONCLUSION: Interobserver variability, but not predictive accuracy of nephrometric systems, is affected by additional usage of EP.