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Purpose: To assess the use of prognostic factors and models in renal-cell carcinoma (RCC) and to gain insight in the motivations precluding prognosis estimation and the use of prognosticators. Materials and Methods: A questionnaire was sent to 110 urologists involved in the Clinical Research Office of the Endourological Society (CROES) Global Renal Mass Study. Frequencies were gathered using descriptive statistics. Results: The majority of the 86 responders worked in a university hospital in Europe. Most of the urologists (97.7%) used the tumor-node-metastasis (TNM) classification, and 44% performed prognosis estimations in all patients. The main reason not to estimate prognosis was lack of accuracy (20.9%) and of additional benefit (11.6%). In addition, clinical, laboratory, or pathologic factors were used by 89.5% of the urologists and biomarkers by 16.3%. Preoperative models were used by 20.9%, postoperative models by 38.4%, and metastatic models by 38.4%. The Raj and Motzer models were the most used in preoperative and metastatic settings, while no predominance among the different postoperative models was seen. The most important reasons to skip the use of models were 'lack of additional value' and 'lack of familiarity' reported by 30.2% and 27.9% of the responders, respectively. Conclusions: The TNM is the mainstay for assessing prognosis in RCC. Our data indicate that penetration of prognostic systems is, at most, moderate, suggesting limited use outside original developmental settings. On the contrary, clinical, laboratory, and pathologic factors are used by almost all urologists for prognosis estimations. The most important reason not to use models is the lack of additional value. [ABSTRACT FROM AUTHOR]

Purpose: Retrospective studies suggest that immunosuppressive treatment of immune-related adverse events (irAEs) impairs survival in patients with melanoma who received immune checkpoint inhibitors. Here, we study this association across tumor types using data from six international phase II/III registrational trials., Methods: A post hoc analysis was performed on individual patient data from the anti-programmed cell death-1 (anti-PD-1) + anti-cytotoxic T lymphocyte-associated protein-4 (anti-CTLA-4) treatment arms of six clinical trials (CheckMate-067, -142, -214, -648, -743, and -9LA). Among patients who received systemic immunosuppression for treatment-related adverse events (trAEs), associations of peak and cumulative corticosteroid dose, and use of second-line immunosuppression with overall survival (OS) and progression-free survival (PFS) were assessed using multilevel Cox regression with adjustment for age and sex., Results: Of the 1,959 patients who received anti-PD-1 + anti-CTLA-4 therapy, 834 patients who were treated with immunosuppression for trAEs were included. Eight hundred and thirty-two patients (100%) received corticosteroids and 81 patients (10%) received second-line immunosuppressants. High corticosteroid peak dose was associated with worse PFS: adjusted hazard ratio (HR adj ), 1.15 (95% CI, 1.02 to 1.29) for 1 versus 0.5 mg/kg prednisolone and HR adj , 1.43 (95% CI, 1.05 to 1.96) for 2 versus 0.5 mg/kg. Similar effects were observed for OS: HR adj , 1.21 (95% CI, 1.06 to 1.39) and HR adj , 1.66 (95% CI, 1.17 to 2.37) for 1 and 2 versus 0.5 mg/kg, respectively. Cumulative corticosteroid dose was not associated with survival. HR adj of use of second-line immunosuppression was 1.23 (95% CI, 0.90 to 1.68) for PFS and 1.25 (95% CI, 0.88 to 1.77) for OS., Conclusion: Higher corticosteroid peak dose for trAEs is associated with worse survival across tumor types, while cumulative dose is not. Too few patients received second-line immunosuppressants to confirm or reject an association with survival. These data argue for a reconsideration of irAE management approaches, starting with lower corticosteroid dose whenever feasible.

Background and Purpose: The histopathologic diagnosis of a small renal mass (SRM) that is managed with cryoablation relies on preoperative or intraoperative biopsies. Because a considerable number of these SRMs are benign, accurate diagnosis has prognostic and follow-up implications. The main problem in SRMs is the high rate of nondiagnostic biopsies. Our purpose was to assess whether certain tumor and biopsy characteristics are correlated with a diagnostic biopsy outcome., Patients and Methods: One hundred tumors that were smaller than 4.5 cm in 94 patients were managed with laparoscopic cryoablation. After dissection of the perirenal fat and identification of the tumor by intra-abdominal ultrasonography, one or more biopsies were obtained before freezing. Using the Student t/Mann Whitney U test, the following parameters were evaluated for predicting biopsy outcome: Tumor size, location, and exophytic part of the tumor, size of the biopsy needle, the number of biopsies taken, and presence of nonenhancing areas compatible with necrosis inside the tumors. Correlations among parameters were assessed using a Spearman correlation or Kruskal-Wallis test., Results: Twenty-two (22%) biopsies were nondiagnostic and consisted of normal kidney tissue, connective tissue, fat, fibrosis, necrosis, and/or blood. There were no significant differences in parameters between the diagnostic and nondiagnostic group. There was a positive correlation between tumor size and number of biopsies (P=0.029) and between the presence of nonenhancing areas and both size (P<0.001) and the number of biopsies taken (P<0.001)., Conclusion: No statistical significant correlation was found between biopsy outcome and tumor or biopsy characteristics. More biopsies were taken in larger tumors, and larger tumors contained more nonenhancing areas that were suspect for necrosis.