Contemporary survival in metastatic bladder cancer patients: A population-based study.

The overall survival (OS) improvement after the advent of several novel systemic therapies, designed for treatment of metastatic urothelial carcinoma of the urinary bladder (mUCUB), is not conclusively studied in either contemporary UCUB patients and/or non-UCUB patients. Within the Surveillance, Epidemiology, and End Results database, contemporary (2017-2020) and historical (2000-2016) systemic therapy-exposed metastatic UCUB and, subsequently, non-UCUB patients were identified. Separate Kaplan-Meier and multivariable Cox regression (CRM) analyses first addressed OS in mUCUB and, subsequently, in metastatic non-UCUB (mn-UCUB). Of 3443 systemic therapy-exposed patients, 2725 (79%) harbored mUCUB versus 709 (21%) harbored mn-UCUB. Of 2725 mUCUB patients, 582 (21%) were contemporary (2017-2020) versus 2143 (79%) were historical (2000-2016). In mUCUB, median OS was 11 months in contemporary versus 8 months in historical patients (Δ = 3 months; p < .0001). After multivariable CRM, contemporary membership status (2017-2020) independently predicted lower overall mortality (OM; hazard ratio [HR] = 0.68, 95% confidence interval [CI] = 0.60-0.76; p < .001). Of 709 mn-UCUB patients, 167 (24%) were contemporary (2017-2020) and 542 (76%) were historical (2000-2016). In mn-UCUB, median OS was 8 months in contemporary versus 7 months in historical patients (Δ = 1 month; p = .034). After multivariable CRM, contemporary membership status (2017-2020) was associated with HR of 0.81 (95% CI = 0.66-1.01; p = .06). In conclusion, contemporary systemic therapy-exposed metastatic patients exhibited better OS in UCUB. However, the magnitude of survival benefit was threefold higher in mUCUB and approximated the survival benefits recorded in prospective randomized trials of novel systemic therapies.

Radiotherapy Versus Partial Penectomy for T1 Squamous Cell Carcinoma of the Penis.

BACKGROUND: Radiotherapy (RT) represents an alternative treatment option for patients with T1 squamous cell carcinoma of the penis (SCCP), with proven feasibility and tolerability. However, it has never been directly compared with partial penectomy (PP) using cancer-specific mortality (CSM) as an end point. METHODS: In the Surveillance, Epidemiology, and End Results database (2000-2020), T1N0M0 SCCP patients treated with RT or PP were identified. This study relied on 1:4 propensity score-matching (PSM) for age at diagnosis, tumor stage, and tumor grade. Subsequently, cumulative incidence plots as well as multivariable competing risks regression (CRR) models addressed CSM. Additionally, the study accounted for the confounding effect of other-cause mortality (OCM). RESULTS: Of 895 patients with T1N0M0 SCCP, 55 (6.1%) underwent RT and 840 (93.9%) underwent PP. The RT and PP patients had a similar age distribution (median age, 70 vs 70 years) and more frequently harbored grade I or II tumors (67.3% vs 75.8%) as well as T1a-stage disease (67.3% vs 74.3%). After 1:4 PSM, 55 (100%) of the 55 RT patients versus 220 (26.2%) of the 840 PP patients were included in the study. The 10-year CSM derived from the cumulative incidence plots was 25.4% for RT and 14.4% for PP. In the multivariable CRR models, RT independently predicted a higher CSM than PP (hazard ratio, 1.99; 95% confidence interval, 1.05-3.80; p = 0.04). CONCLUSION: For the T1N0M0 SCCP patients treated in the community, RT was associated with nearly a twofold higher CSM than PP. Ideally, a validation study based on tertiary care institution data should be conducted to test whether this CSM disadvantage is operational only in the community or not.

Adult Prostate Sarcoma: Demographics, Treatment Patterns, and Survival.

BACKGROUND: This study aimed to examine clinicopathologic characteristics, treatment patterns, and survival rates in a contemporary population-based cohort of adult prostate sarcoma patients. METHODS: In the Surveillance, Epidemiology, and End Results database (2004-2020), adult patients with prostate sarcoma were identified. Descriptive statistics, Kaplan-Meier analyses, smoothed cumulative incidence plots, and Cox regression models were used. RESULTS: Of 125 patients, 45 (36%) harbored leiomyosarcoma, 17 (14%) had rhabdomyosarcoma, 15 (12%) had stromal sarcoma, 17 (14%) had sarcoma not otherwise specified (NOS), and 31 (25%) had other sarcoma subtypes. Metastatic stage was most common in the rhabdomyosarcoma patients (44%) and least common in the leiomyosarcoma (21%) and stromal sarcoma (20%) patients. Most of the rhabdomyosarcoma patients received the combination of systemic and radiation therapy with (24%) or without radical surgery (35%), whereas most of the leiomyosarcoma and stromal sarcoma patients underwent radical surgery with (22 and 13%) or without (22 and 47%) radiation. In the overall population, the median overall survival was 27 months. The 5-years overall versus cancer-specific versus other-cause mortality rates were respectively 71 versus 58 versus 13%. In the multivariable Cox regression models, the highest overall mortality was exhibited by the patients with metastatic disease (hazard ratio [HR] 2.87; 95% confidence interval [CI] 1.55-5.31; p < 0.001) or unknown disease stage (HR 2.94; 95% CI 2.20-7.21; p = 0.019). Conversely, of all the histologic subtypes, only stromal sarcoma distinguished itself by lower overall mortality (HR 0.41; 95% CI 0.18-0.96; p = 0.039). CONCLUSIONS: Four major histologic subtypes were identified. Among most adult sarcoma patients, treatment patterns vary according to histology, from multimodal therapy to radical prostatectomy alone. These treatment differences reflect equally important heterogeneity in survival patterns.

Adjuvant Systemic Therapy Improved Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma.

BACKGROUND: The purpose of this study was to test for survival differences according to adjuvant chemotherapy (AC) status in radical nephroureterectomy (RNU) patients with pT2-T4 and/or N1-2 upper tract urothelial carcinoma (UTUC). PATIENTS AND METHODS: Within the Surveillance, Epidemiology, and End Results database (SEER, 2007-2020), patients with UTUC treated with AC versus RNU alone were identified. Kaplan-Meier plots and multivariable Cox regression models addressed cancer-specific mortality (CSM). RESULTS: Of 1995 patients with UTUC, 804 (40%) underwent AC versus 1191 (60%) RNU alone. AC rates increased from 36.1 to 57.0% over time in the overall cohort [estimated annual percentage changes (EAPC) ± 4.5%, p < 0.001]. The increase was from 28.8 to 50.0% in TanyN0 patients (EAPC ± 7.8%, p < 0.001) versus 50.0-70.9% in TanyN1-2 patients (EAPC ± 2.3%, p = 0.002). Within 698 patients harboring TanyN1-2 stage, median CSM was 31 months after AC versus 16 months in RNU alone (Δ = 15 months, p < 0.0001) and AC independently predicted lower CSM [hazard ratio (HR) 0.64; p < 0.001]. Similarly, within subgroup analyses according to stage, relative to RNU alone, AC independently predicted lower CSM in T2N1-2 (HR 0.49; p = 0.04), in T3N1-2 (HR 0.72; p = 0.015), and in T4N1-2 (HR 0.49, p < 0.001) patients. Conversely, in all TanyN0 as well as in all stage-specific subgroup analyses addressing N0 patients, AC did not affect CSM rates (all p > 0.05). CONCLUSIONS: In RNU patients, AC use is associated with significantly lower CSM in lymph-node-positive (N1-2) patients but not in lymph-node-negative patients (N0). The distinction between N1-2 and N0 regarding the effect of AC on CSM applied across all T stages from T2 to T4, inclusively.

Current applications of ex-vivo fluorescent confocal microscope in urological practice: a systematic review of literature.

BACKGROUND: Histopathological examination, a cornerstone in diagnosing cancer, faces challenges due to its time-consuming nature. This review explores the potential of ex-vivo fluorescent confocal microscopy (FCM) in urology, addressing the need for real-time pathological assessment, particularly in prostate cancer. This systematic review aims to assess the applications of FCM in urology, including its role in prostate cancer diagnosis, surgical margin assessment, and other urological fields. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a systematic search of PubMed and SCOPUS was conducted, focusing on English written original articles published after January 1, 2018, discussing the use of FCM in urological practice. The search included keywords related to FCM and urological terms. The risk of bias assessment was performed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. RESULTS: A total of 17 relevant studies were included in the review that focuses on three main urological issues: prostate cancer (15 articles), bladder cancer (1 article), and renal biopsy (1 article). FCM exhibited significant promise in diagnosing prostate cancer. These studies reported an accuracy range of 85.33% to 95.1% in distinguishing between cancerous and non-cancerous prostate tissues. Moreover, FCM proved valuable for assessing surgical margins in real-time during radical prostatectomy, reducing the need for frozen section analysis. In some investigations, researchers explored the integration of artificial intelligence (AI) with FCM to automate diagnostic processes. Concerning bladder cancer, FCM played a beneficial role in evaluating urethral and ureteral margins during radical cystectomy. Notably, it showed substantial agreement with conventional histopathology and frozen section examination. In the context of renal biopsy, FCM demonstrated the potential to differentiate normal renal parenchyma from cancerous tissue, although the available evidence is limited in this area. The main limitation of the current study is the scarcity of data regarding the topic of interest. CONCLUSIONS: Ex-vivo FCM holds promise in urology, particularly in prostate cancer diagnosis and surgical margin assessment. Its real-time capabilities may reduce diagnostic delays and patient stress. However, most studies remain experimental, requiring further research to validate clinical utility.

Rare histological prostate cancer subtypes: Cancer-specific and other-cause mortality.

BACKGROUND: To assess cancer-specific mortality (CSM) and other-cause mortality (OCM) rates in patients with rare histological prostate cancer subtypes. METHODS: Using the Surveillance, Epidemiology, and End Results database (2004-2020), we applied smoothed cumulative incidence plots and competing risks regression (CRR) models. RESULTS: Of 827,549 patients, 1510 (0.18%) harbored ductal, 952 (0.12%) neuroendocrine, 462 (0.06%) mucinous, and 95 (0.01%) signet ring cell carcinoma. In the localized stage, five-year CSM vs. OCM rates ranged from 2 vs. 10% in acinar and 3 vs. 8% in mucinous, to 55 vs. 19% in neuroendocrine carcinoma patients. In the locally advanced stage, five-year CSM vs. OCM rates ranged from 5 vs. 6% in acinar, to 14 vs. 16% in ductal, and to 71 vs. 15% in neuroendocrine carcinoma patients. In the metastatic stage, five-year CSM vs. OCM rates ranged from 49 vs. 15% in signet ring cell and 56 vs. 16% in mucinous, to 63 vs. 9% in ductal and 85 vs. 12% in neuroendocrine carcinoma. In multivariable CRR, localized neuroendocrine (HR 3.09), locally advanced neuroendocrine (HR 9.66), locally advanced ductal (HR 2.26), and finally metastatic neuroendocrine carcinoma patients (HR 3.57; all p < 0.001) exhibited higher CSM rates relative to acinar adenocarcinoma patients. CONCLUSIONS: Compared to acinar adenocarcinoma, patients with neuroendocrine carcinoma of all stages and locally advanced ductal carcinoma exhibit higher CSM rates. Conversely, CSM rates of mucinous and signet ring cell adenocarcinoma do not differ from those of acinar adenocarcinoma.

Urologists' proficiency in various donor nephrectomy approaches: a real-life survey, systematic review, and meta-analysis of randomized controlled trials.

INTRODUCTION: Donor nephrectomy (DN) is a unique surgical procedure in urological practice, as it involves exposing a healthy individual to the potential risks of surgery. This type of surgery exhibits heterogeneity in terms of approach (open, laparoscopic, or robotic), each with its unique set of advantages and disadvantages. Consequently, there is currently a lack of universally agreed upon clear guidelines. In these settings, this study aims to evaluate transplantation surgeons' knowledge through a real-life survey and compare it with data from published randomized controlled trials (RCTs). EVIDENCE ACQUISITION: The study is divided into two parts, with the first part focusing on the outcomes of the real-life survey designed to assess surgeons' knowledge about different DN approaches and their real-world practices during the surgery. The second part involves a systematic review and meta-analysis of RCTs, specifically examining the outcomes of different surgical approaches to DN. The systematic review followed the PRISMA Guidelines and involved a search of PubMed and Web of Science for RCTs comparing the outcomes of different DN approaches. The risk of bias was assessed using the RoB-2 tool. The random effect model was mainly used to assess the mean difference of the included studies. EVIDENCE SYNTHESIS: The study was conducted between July 2021 and January 2022 and surveyed 50 surgeons, of which 35 participants (70%) completed the survey. Regarding various approaches to DN, 97.14% of surgeons reported having experience with live DN, and 45.72% performed over 15 cases per year. The most performed approach was pure laparoscopic DN (68.57%). Pure laparoscopic DN was the preferred approach for 77.42% of respondents. The review process resulted in 335 articles, of which 35 were eligible for inclusion in the systematic review. In summary, most studies found that laparoscopic approaches, including standard, hand-assisted, LESS-DN, and mini-LDN, resulted in less postoperative pain, better cosmetic, and quicker recovery times compared to open approaches. The main limitation of the current study is the heterogeneity of the included studies. CONCLUSIONS: The study provides valuable insights into the practices of renal transplantation surgeons, offering a comprehensive comparison to level 1 studies (RCTs) in the field. It underscores the continued significance of ODN in contemporary practice, particularly in light of recommendations from the EAU guidelines on renal transplantation. This reaffirms the need to consider the advantages and disadvantages of various approaches, including factors such as cost, postoperative pain, and cosmetic outcomes. While robotic-assisted DN holds promise, their adoption remains variable, potentially due to limited robust evidence.

Adverse In-Hospital Outcomes after Radical Prostatectomy in Leukemia History Patients.

INTRODUCTION: Leukemia history affects some radical prostatectomy (RP) patients. Although its prevalence and effect as an adverse risk factor are well known in cardiac surgery, the number of RP patients with a leukemia history, as well as their rate of adverse in-hospital outcomes, are unknown. METHODS: We identified RP patients (National Inpatient Sample 2000-2019), stratified according to the presence or absence of a leukemia history. Descriptive analyses, propensity score matching (PSM, ratio 1:10), and multivariable logistic regression models were used. RESULTS: Of 259,939 RP patients, 416 (0.2%) had a leukemia history. Their proportion increased from 0.1 to 0.2% covering the study span (p < 0.01). Leukemia history patients were older (median age, 64 vs. 62 years, p < 0.001). After PSM for age, insurance status, ethnicity, pelvic lymph node dissection, and Charlson Comorbidity Index, leukemia history RP patients exhibited higher rates of acute kidney injury (<2.6 vs. 0.9%; Odds Ratio [OR] 2.0, p = 0.02), more frequently underwent dialysis (3.6 vs. 1.9%; OR 1.9, p = 0.03), and more frequently had a length of stay exceeding one week (4.8 vs. 2.5%; OR 2.0, p = 0.006). CONCLUSIONS: Although leukemia history RP patients are rare, their numbers have increased. Renal complications and extended hospital stays are more frequent in those individuals.

Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature.

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning. Furthermore, artificial intelligence (AI) can potentially aid the training process in the field of kidney cancer. This review explores how artificial intelligence (AI) can create a framework for kidney cancer surgery to address training difficulties. Following PRISMA 2020 criteria, an exhaustive search of PubMed and SCOPUS databases was conducted without any filters or restrictions. Inclusion criteria encompassed original English articles focusing on AI's role in kidney cancer surgical training. On the other hand, all non-original articles and articles published in any language other than English were excluded. Two independent reviewers assessed the articles, with a third party settling any disagreement. Study specifics, AI tools, methodologies, endpoints, and outcomes were extracted by the same authors. The Oxford Center for Evidence-Based Medicine's evidence levels were employed to assess the studies. Out of 468 identified records, 14 eligible studies were selected. Potential AI applications in kidney cancer surgical training include analyzing surgical workflow, annotating instruments, identifying tissues, and 3D reconstruction. AI is capable of appraising surgical skills, including the identification of procedural steps and instrument tracking. While AI and augmented reality (AR) enhance training, challenges persist in real-time tracking and registration. The utilization of AI-driven 3D reconstruction proves beneficial for intraoperative guidance and preoperative preparation. Artificial intelligence (AI) shows potential for advancing surgical training by providing unbiased evaluations, personalized feedback, and enhanced learning processes. Yet challenges such as consistent metric measurement, ethical concerns, and data privacy must be addressed. The integration of AI into kidney cancer surgical training offers solutions to training difficulties and a boost to surgical education. However, to fully harness its potential, additional studies are imperative.