Purpose: Radical cystectomy (RC) is associated with substantial postoperative morbidity, and unplanned readmission remains common despite advances in perioperative management. However, the association between postoperative readmission due to complications and oncologic outcomes after RC for bladder cancer has not been clearly defined. We evaluated the impact of postoperative readmission on overall survival (OS) and cancer-specific survival (CSS) after RC for bladder cancer. Materials and Methods: We retrospectively analyzed 3,972 patients who underwent RC for bladder cancer in a multicenter cohort. Postoperative readmission was defined as unplanned hospitalization within 90 days postsurgery due to surgery-related complications. Survival outcomes were assessed using the Kaplan-Meier method and compared using the log-rank test. Univariable and multivariable Cox proportional hazards regression analyses were performed to identify independent predictors of OS and CSS. Results: Among the study population, 916 patients (23.1%) experienced postoperative readmission. Baseline and perioperative characteristics were generally comparable between patients with and without readmission. Kaplan-Meier analyses demonstrated significantly worse OS and CSS among patients who experienced postoperative readmission (both log-rank p<0.001). In multivariable analyses adjusting for clinicopathological factors, postoperative readmission remained independently associated with worse OS (hazard ratio [HR], 1.654; 95% confidence interval [CI], 1.464–1.868; p<0.001) and CSS (HR, 1.761; 95% CI, 1.509–2.055; p<0.001). Conclusion Postoperative readmission within 90 days after RC was independently associated with inferior long-term oncologic outcomes. These findings suggest the importance of strategies aimed at preventing postoperative complications and subsequent readmission.

Muscle-invasive bladder cancer (MIBC) is an aggressive cancer with a high recurrence risk due to micrometastases. Standard treatment, neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, is not suitable for all patients, with many being ineligible or experiencing recurrence, alongside significant toxicity concerns.Current Concepts: The introduction of immune checkpoint inhibitors (ICIs) into the perioperative setting —including neoadjuvant ICI use in cisplatin-ineligible patients, adjuvant ICI use in high-risk individuals, and chemoimmunotherapy in either the preoperative or postoperative period—has demonstrated promising clinical outcomes. Additionally, bladder preservation strategies are currently under investigation in select patients who exhibit favorable treatment responses, aiming to maintain quality of life without compromising oncologic outcomes. Nevertheless, challenges such as overtreatment, long-term toxicity, and immune-related adverse events remain significant, underscoring the necessity for precise patient selection.Discussion and Conclusion: To personalize perioperative management of MIBC, it is essential to develop and clinically implement robust predictive biomarkers. Assessment of molecular residual disease using circulating tumor DNA is emerging as a promising method to stratify risk, guide adjuvant treatment decisions, and monitor therapeutic response in real time. Future research should prioritize the validation of these biomarkers, refinement of patient selection criteria for bladder preservation strategies, and evaluation of novel therapeutic agents such as antibody-drug conjugates and fibroblast growth factor receptor inhibitors in the perioperative setting. Ultimately, adopting a precision oncology approach will be critical for balancing oncologic efficacy with toxicity management and achieving patient-centered outcomes.

Muscle-invasive bladder cancer (MIBC) is an aggressive cancer with a high recurrence risk due to micrometastases. Standard treatment, neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, is not suitable for all patients, with many being ineligible or experiencing recurrence, alongside significant toxicity concerns.Current Concepts: The introduction of immune checkpoint inhibitors (ICIs) into the perioperative setting —including neoadjuvant ICI use in cisplatin-ineligible patients, adjuvant ICI use in high-risk individuals, and chemoimmunotherapy in either the preoperative or postoperative period—has demonstrated promising clinical outcomes. Additionally, bladder preservation strategies are currently under investigation in select patients who exhibit favorable treatment responses, aiming to maintain quality of life without compromising oncologic outcomes. Nevertheless, challenges such as overtreatment, long-term toxicity, and immune-related adverse events remain significant, underscoring the necessity for precise patient selection.Discussion and Conclusion: To personalize perioperative management of MIBC, it is essential to develop and clinically implement robust predictive biomarkers. Assessment of molecular residual disease using circulating tumor DNA is emerging as a promising method to stratify risk, guide adjuvant treatment decisions, and monitor therapeutic response in real time. Future research should prioritize the validation of these biomarkers, refinement of patient selection criteria for bladder preservation strategies, and evaluation of novel therapeutic agents such as antibody-drug conjugates and fibroblast growth factor receptor inhibitors in the perioperative setting. Ultimately, adopting a precision oncology approach will be critical for balancing oncologic efficacy with toxicity management and achieving patient-centered outcomes.

Muscle-invasive bladder cancer (MIBC) is an aggressive cancer with a high recurrence risk due to micrometastases. Standard treatment, neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, is not suitable for all patients, with many being ineligible or experiencing recurrence, alongside significant toxicity concerns.Current Concepts: The introduction of immune checkpoint inhibitors (ICIs) into the perioperative setting —including neoadjuvant ICI use in cisplatin-ineligible patients, adjuvant ICI use in high-risk individuals, and chemoimmunotherapy in either the preoperative or postoperative period—has demonstrated promising clinical outcomes. Additionally, bladder preservation strategies are currently under investigation in select patients who exhibit favorable treatment responses, aiming to maintain quality of life without compromising oncologic outcomes. Nevertheless, challenges such as overtreatment, long-term toxicity, and immune-related adverse events remain significant, underscoring the necessity for precise patient selection.Discussion and Conclusion: To personalize perioperative management of MIBC, it is essential to develop and clinically implement robust predictive biomarkers. Assessment of molecular residual disease using circulating tumor DNA is emerging as a promising method to stratify risk, guide adjuvant treatment decisions, and monitor therapeutic response in real time. Future research should prioritize the validation of these biomarkers, refinement of patient selection criteria for bladder preservation strategies, and evaluation of novel therapeutic agents such as antibody-drug conjugates and fibroblast growth factor receptor inhibitors in the perioperative setting. Ultimately, adopting a precision oncology approach will be critical for balancing oncologic efficacy with toxicity management and achieving patient-centered outcomes.

Purpose: Although bladder cancer occurs three to 4 times more frequently in men than in women, the relative number of deaths compared to incidence is higher in women, suggesting that women have a worse prognosis than men. Emerging evidence indicates that the activity of the sex steroid hormone pathway may play a role in bladder cancer development, with demonstrations that both androgens and estrogens have biological effects on bladder cancer in vitro and in vivo. This study investigates the influence of sex and menopausal status on recurrence and cancer-specific death (CSD) in bladder cancer patients undergoing radical cystectomy (RC). Materials and Methods: This retrospective analysis included 3,913 patients from the Korean Bladder Cancer Study Group Database who underwent RC between 2010 and 2019. Patients were categorized based on gender and menopausal status (≤50 years: premenopausal; >50 years: postmenopausal). Pathological factors, neoadjuvant chemotherapy, recurrence, and CSD rates were analyzed using chi-square and Fisher exact tests. Results: Among the 3,913 patients, 400 (10.2%) were female. Premenopausal females exhibited significantly lower recurrence rates (28.6%) compared to postmenopausal females (45.7%). CSD rates were similarly reduced in premenopausal females (12.0% vs. 22.2% in postmenopausal females). No significant sex differences in recurrence or CSD were observed among premenopausal patients. Pathological T stage, nodal status, and lymphovascular invasion were significantly associated with recurrence in males, while nodal status alone was significant in females. Neoadjuvant chemotherapy was significantly more frequently administered to male patients under the age of 50, while no difference was observed in the administration of neoadjuvant chemotherapy among female patients based on menopausal status. Conclusion Hormonal changes associated with menopause significantly influence bladder cancer outcomes in women. Premenopausal hormonal environments seem protective, underscoring the need for further research into hormone-driven mechanisms in bladder cancer.

Purpose: To evaluate whether extended pelvic lymph node dissection (PLND) improves survival outcomes compared with standard PLND in patients with bladder cancer (BCa) undergoing radical cystectomy (RC), and to assess its potential benefits in patients with prior or concurrent radical nephroureterectomy (p/cRNU). Materials and Methods: A multicenter analysis included 2202 patients with BCa undergoing RC with standard or extended PLND at 11 tertiary centers from 2003 to 2023. Following propensity score matching, 659 pairs (n=1,318), including 128 patients with p/cRNU, were analyzed. Recurrence-free survival (RFS) was the primary outcome, while overall survival (OS), cancer-specific survival (CSS), and readmission rates were secondary outcomes. Survival analyses performed using Kaplan-Meier methods and clustered Cox models. Results: Extended PLND yielded significantly more lymph nodes than standard PLND (median: 27.0 vs. 17.0, p<0.001) but did not improve RFS, CSS, or OS in the overall cohort (all p>0.05). Extended PLND increased readmission rates (28.4% vs. 20.2%, p=0.001) and readmission risk (odds ratio, 1.57; 95% confidence interval [CI], 1.15–2.16, p=0.005). However, subgroup analysis revealed extended PLND significantly improved RFS in patients with p/cRNU (hazard ratio, 0.54; 95% CI, 0.38–0.77; p<0.001). Conclusion Extended PLND does not provide survival benefits for overall patient population and increases readmission risk but significantly improves RFS in patients with p/cRNU. Tailoring PLND extent based on upper tract disease status is recommended.

Purpose: This study aimed to evaluate the prognostic value of a trifecta, defined as negative soft tissue surgical margin (STSM), removal of ≥16 lymph nodes, and absence of major complications (Clavien-Dindo classification grade >III) within 90 days, after radical cystectomy (RC), using a large multicenter cohort. Materials and Methods: We retrospectively analyzed data from 3,972 patients with bladder cancer who underwent RC at 11 tertiary centers in South Korea between 2003 and 2024. Survival outcomes, including overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS), were compared according to trifecta status using Kaplan-Meier and Cox regression analyses. Propensity score matching was performed to adjust for baseline differences. Results: A total of 2,014 eligible patients were included in the final analysis, and the trifecta was achieved in 47.8%. Kaplan-Meier analysis demonstrated significantly improved 5- and 10-year OS (66.7% vs. 62.0%; 62.9% vs. 57.2%; p=0.002), CSS (79.3% vs. 75.4%; 77.8% vs. 73.8%; p=0.008), and RFS (62.7% vs. 57.6%; 60.8% vs. 55.2%; p=0.001) in the trifecta group. In multivariable analysis, trifecta achievement was significantly associated with better OS (HR, 0.813; p=0.008), CSS (HR, 0.787; p=0.017), and RFS (HR, 0.844; p=0.036). Among individual components, negative STSM showed the strongest prognostic effect across all endpoints. Conclusions In this large multicenter study, patients who achieved the RC trifecta exhibited significantly superior survival outcomes compared with those who did not. The trifecta may serve as a practical and standardized metric for assessing surgical quality and performance in RC. Future prospective studies are warranted to validate its prognostic and quality-assurance utility.

Purpose: To create a nomogram that can predict the probability of prostate cancer using prostate health index (PHI) and clinical parameters of patients. And the optimal cut-off value of PHI for prostate cancer was also assessed. Materials and Methods: A prospective, multi-center study was conducted. PHI was evaluated prior to biopsy in patients requiring prostate biopsy due to high prostate-specific antigen (PSA). Among screened 1,010 patients, 626 patients with clinically suspected prostate cancer with aged 40 to 85 years, and with PSA levels ranging from 2.5 to 10 ng/mL were analyzed. Results: Among 626 patients, 38.82% (243/626) and 22.52% (141/626) were diagnosed with prostate cancer and clinically significant prostate cancer, respectively. In the PSA 2.5 to 4 ng/mL group, the areas under the curve (AUCs) of the nomograms for overall prostate cancer and clinically significant prostate cancer were 0.796 (0.727–0.866; p<0.001), and 0.697 (0.598–0.795; p=0.001), respectively. In the PSA 4 to 10 ng/mL group, the AUCs of nomograms for overall prostate cancer and clinically significant prostate cancer were 0.812 (0.783–0.842; p<0.001), and 0.839 (0.810–0.869; p<0.001), respectively. Conclusions Even though external validations are necessary, a nomogram using PHI might improve the prediction of prostate cancer, reducing the need for prostate biopsies.

Purpose: Unnecessary prostate biopsies for detecting prostate cancer (PCa) should be minimized. Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. Materials and Methods: We retrospectively analyzed clinical data from 928 patients who underwent prostate biopsies at Kangwon National University Hospital between May 2013 and May 2023. Of these, 377 (41.6%) were diagnosed with PCa, and 551 (59.4%) did not have cancer. For external validation, clinical data from 385 patients aged 48–89 years who underwent prostate biopsies from September 2005 to September 2023 at Wonju Severance Christian Hospital were also included. Twenty-two clinical features were used to develop an ML model to predict PCa. Features were selected based on their contributions to model performance, leading to the inclusion of 15 features. A meta-learner was constructed using logistic regression to predict the probability of PCa, and the classifier was trained and validated on randomly extracted training and test sets at an 8:2 ratio. Results: The prostate health index, prostate volume, age, nodule on digital rectal examination, and prostate-specific antigen were the top 5 features for predicting PCa. The area under the receiver operating characteristic curve (AUC) of the meta-learner logistic regression model was 0.89, and the accuracy, sensitivity, and specificity were 0.828, 0.711, and 0.909, respectively. Our model also showed excellent prediction performance for high-grade PCa, with a Gleason score of 7 or higher and an AUC of 0.903. Furthermore, we evaluated the performance of the model using external cohort clinical data and achieved an AUC of 0.863. Conclusions Our ML model excelled in predicting PCa, specifically clinically significant PCa. Although extensive cross-validation in other clinical cohorts is needed, this ML model is a promising option for future diagnostics.

Purpose: Unnecessary prostate biopsies for detecting prostate cancer (PCa) should be minimized. Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. Materials and Methods: We retrospectively analyzed clinical data from 928 patients who underwent prostate biopsies at Kangwon National University Hospital between May 2013 and May 2023. Of these, 377 (41.6%) were diagnosed with PCa, and 551 (59.4%) did not have cancer. For external validation, clinical data from 385 patients aged 48–89 years who underwent prostate biopsies from September 2005 to September 2023 at Wonju Severance Christian Hospital were also included. Twenty-two clinical features were used to develop an ML model to predict PCa. Features were selected based on their contributions to model performance, leading to the inclusion of 15 features. A meta-learner was constructed using logistic regression to predict the probability of PCa, and the classifier was trained and validated on randomly extracted training and test sets at an 8:2 ratio. Results: The prostate health index, prostate volume, age, nodule on digital rectal examination, and prostate-specific antigen were the top 5 features for predicting PCa. The area under the receiver operating characteristic curve (AUC) of the meta-learner logistic regression model was 0.89, and the accuracy, sensitivity, and specificity were 0.828, 0.711, and 0.909, respectively. Our model also showed excellent prediction performance for high-grade PCa, with a Gleason score of 7 or higher and an AUC of 0.903. Furthermore, we evaluated the performance of the model using external cohort clinical data and achieved an AUC of 0.863. Conclusions Our ML model excelled in predicting PCa, specifically clinically significant PCa. Although extensive cross-validation in other clinical cohorts is needed, this ML model is a promising option for future diagnostics.