Renal Pelvic Urothelial Carcinoma With Invasion Into Renal Medulla Can Be Redefined as pT2 to Improve Correlation With Survival.

According to the American Joint Cancer Committee, pT3 renal pelvic carcinoma is defined as tumor invading the renal parenchyma and/or peripelvic fat and is the largest pT category, with notable survival heterogeneity. Anatomical landmarks within the renal pelvis can be difficult to discern. Using glomeruli as a boundary to differentiate renal medulla invasion from renal cortex invasion, this study aimed to compare patient survival of pT3 renal pelvic urothelial carcinoma on the basis of the extent of renal parenchyma invasion and, thereafter, determine whether redefining pT2 and pT3 improves pT correlation with survival. Cases with primary renal pelvic urothelial carcinoma were identified through a review of pathology reports from nephroureterectomies completed at our institution from 2010 to 2019 (n = 145). Tumors were stratified by pT, pN, lymphovascular invasion, and invasion of the renal medulla versus invasion of the renal cortex and/or peripelvic fat. Overall survival between groups was compared using Kaplan-Meier survival models and Cox regression multivariate analysis. pT2 and pT3 tumors had similar 5-year overall survival, with multivariate analysis demonstrating an overlap between hazard ratios (HRs) for pT2 (HR, 2.20; 95% CI, 0.70-6.95) and pT3 (HR, 3.15; 95% CI, 1.63-6.09). pT3 tumors with peripelvic fat and/or renal cortex invasion had a 3.25-fold worse prognosis than pT3 tumors with renal medulla invasion alone. Furthermore, pT2 and pT3 tumors with only renal medulla invasion had similar overall survival, whereas pT3 tumors with peripelvic fat and/or renal cortex invasion had a worse prognosis (P = .00036). Reclassifying pT3 tumors with only renal medulla invasion as pT2 yielded greater separation between survival curves and HR. Thus, we recommend redefining pT2 renal pelvic carcinoma to include renal medulla invasion and restricting pT3 to peripelvic fat and/or renal cortex invasion to improve the prognostic accuracy of pT classification.