Impact of Preoperative Plasma Potassium Levels on Oncological Outcomes, Major Complications, and 30-Day Mortality in Bladder Cancer Patients Undergoing Radical Cystectomy.

INTRODUCTION AND OBJECTIVES: We examined the impact of preoperative plasma potassium levels (PPLs) on outcomes in patients undergoing radical cystectomy (RC) for urothelial carcinoma of the bladder (UCB), hypothesizing that potassium imbalances might influence outcomes. PATIENTS AND METHODS: In this retrospective study, 501 UCB patients undergoing RC from 2009 to 2017 at a tertiary center were analyzed. Blood samples collected a week prior to surgery defined normal and abnormal PPL based on institutional standards. We assessed overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), postoperative complications, 30-day mortality, and non-organ confined disease. Kaplan-Meier estimates, Cox proportional hazards, logistic regression, and decision curve analyses (DCA) were employed. RESULTS: 63 (13%) patients had abnormal preoperative PPLs, with 50 (10%) elevated and 13 (2.5%) decreased. In a 59 months median follow-up, 152 (31%) had disease recurrence, 197 (39%) died from any cause, and 119 (24%) from UCB. Multivariable cox regression analyses adjusting for perioperative parameters demonstrated abnormal PPL was associated with worse OS (HR=1.9, P=0.009), CSS (HR=2.8, P<0.001) and RFS (HR=2.1; P=0.007). Elevated preoperative PPLs also demonstrated significant associations with adverse outcomes in OS, CSS, and RFS (all P<0.05). In multivariable logistic regression analyses, abnormal and elevated PPLs were not associated with 30-day mortality, major 30-day postoperative complications, positive nodal disease, pT3/4 stage, and non-organ confined disease (all P>0.05). CONCLUSION: Abnormal and elevated preoperative PPLs correlate with adverse oncologic outcomes in UCB patients treated with RC. Pending external validation, preoperative PPLs might be a cost-effective, easily obtainable supplemental biomarker for enriching accuracy of outcome prediction in this highly variable maladie.

Accuracy and Clinical Utility of a Tumor Grade- and Stage-based Predictive Model in Localized Upper Tract Urothelial Carcinoma.

BACKGROUND: Among various clinicopathologic factors used to identify low-risk upper tract urothelial carcinoma (UTUC), tumor grade and stage are of utmost importance. The clinical value added by inclusion of other risk factors remains unproven. OBJECTIVE: To assess the performance of a tumor grade- and stage-based (GS) model to identify patients with UTUC for whom kidney-sparing surgery (KSS) could be attempted. DESIGN, SETTING, AND PARTICIPANTS: In this international study, we reviewed the medical records of 1240 patients with UTUC who underwent radical nephroureterectomy. Complete data needed for risk stratification according to the European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) guidelines were available for 560 patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Univariable and multivariable logistic regression analyses were performed to determine if risk factors were associated with the presence of localized UTUC. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the GS, EAU, and NCCN models in predicting pathologic stage were calculated. RESULTS AND LIMITATIONS: Overall, 198 patients (35%) had clinically low-grade, noninvasive tumors, and 283 (51%) had ≤pT1disease. On multivariable analyses, none of the EAU and NCCN risk factors were associated with the presence of non-muscle-invasive UTUC among patients with low-grade and low-stage UTUC. The GS model exhibited the highest accuracy, sensitivity, and negative predictive value among all three models. According to the GS, EAU, and NCCN models, the proportion of patients eligible for KSS was 35%, 6%, and 4%, respectively. Decision curve analysis revealed that the net benefit of the three models was similar within the clinically reasonable range of probability thresholds. CONCLUSIONS: The GS model showed favorable predictive accuracy and identified a greater number of KSS-eligible patients than the EAU and NCCN models. A decision-making algorithm that weighs the benefits of avoiding unnecessary kidney loss against the risk of undertreatment in case of advanced carcinoma is necessary for individualized treatment for UTUC patients. PATIENT SUMMARY: We assessed the ability of three models to predict low-grade, low-stage disease in patients with cancer of the upper urinary tract. No risk factors other than grade assessed on biopsy and stage assessed from scans were associated with better prediction of localized cancer. A model based on grade and stage may help to identify patients who could benefit from kidney-sparing treatment of their cancer.

Adjuvant therapy with tyrosine kinase inhibitors for localized and locally advanced renal cell carcinoma: an updated systematic review and meta-analysis.

PURPOSE: Tyrosine kinase inhibitors (TKIs) have been widely used in the management of patients with metastatic renal cell carcinoma (RCC). However, the use of systemic therapies in the adjuvant setting of localized and locally advanced RCC has shown conflicting results across the literature. Therefore, we aimed to conduct an updated systematic review and meta-analysis comparing the efficacy and safety of TKIs in the adjuvant setting for patients with localized and locally advanced RCC. MATERIALS AND METHODS: The MEDLINE and EMBASE databases were searched in December 2020 to identify phase III randomized controlled trials of patients receiving adjuvant therapies with TKI for RCC. Disease-free survival (DFS) and overall survival (OS) were the primary endpoints. The secondary endpoints included treatment-related adverse events (TRAEs) of high and any grade. RESULTS: Five trials (S-TRAC, ASSURE, PROTECT, ATLAS, and SORCE) were included in our meta-analysis comprising 6,531 patients. The forest plot revealed that TKI therapy was associated with a significantly longer DFS compared to placebo (pooled HR: 0.88, 95% CI: 0.81-0.96, P= 0.004). The Cochrane's Q test (P = 0.51) and I2 test (I2 = 0%) revealed no significant heterogeneity. Adjuvant TKI was not associated with improved OS compared to placebo (pooled HR: 0.93, 95% CI: 0.83-1.04, P= 0.23). The Cochrane's Q test (P = 0.74) and I2 test (I2 = 0%) revealed no significant heterogeneity. The forest plot revealed that TKI therapy, compared to placebo, was associated with higher rates of high grade TRAEs (OR: 5.20, 95% CI: 4.10-6.59, P< 0.00001) as well as any grade TRAEs (OR: 3.85, 95% CI: 1.22-12.17, P= 0.02). The Cochrane's Q tests (P < 0.0001 and P < 0.00001, respectively) and I2 tests (I2 = 79% and I2 = 90%, respectively) revealed significant heterogeneity. CONCLUSIONS: The findings of our analyses suggest an improved DFS in patients with localized and locally advanced RCC receiving adjuvant TKI as compared to placebo; however, this did not translate into any significant OS benefit. Additionally, TKI therapy led to significant toxicity. Adjuvant TKI does not seem to offer a satisfactory risk and/orbenefit balance for all patients. Select patients with very poor prognosis may be considered in a shared decision-making process with the patient. With the successful arrival of immune-based therapies in RCC, these may allow a more favorable risk/benefit profile.