Search

Background: Novel prognostic factors for patients after radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC) have recently been described., Objective: We tested the prognostic value of pathologic characteristics and developed models to predict the individual probabilities of recurrence-free survival (RFS) and cancer-specific survival (CSS) after RNU., Design, Setting, and Participants: Our study included 2244 patients treated with RNU without neoadjuvant or adjuvant therapy at 23 international institutions. Tumor characteristics included T classification, grade, lymph node status, lymphovascular invasion, tumor architecture, location, and concomitant carcinoma in situ (CIS). The cohort was randomly split for development (12 centers, n=1273) and external validation (11 centers, n=971)., Interventions: All patients underwent RNU., Measurements: Univariable and multivariable models addressed RFS, CSS, and comparison of discrimination and calibration with American Joint Committee on Cancer (AJCC) stage grouping., Results and Limitations: At a median follow-up of 45 mo, 501 patients (22.3%) experienced disease recurrence and 418 patients (18.6%) died of UTUC. On multivariable analysis, T classification (p for trend <0.001), lymph node metastasis (hazard ratio [HR]: 1.98; p=0.002), lymphovascular invasion (HR: 1.66; p<0.001), sessile tumor architecture (HR: 1.76; p<0.001), and concomitant CIS (HR: 1.33; p=0.035) were associated with disease recurrence. Similarly, T classification (p for trend<0.001), lymph node metastasis (HR: 2.23; p=0.001), lymphovascular invasion (HR: 1.81; p<0.001), and sessile tumor architecture (HR: 1.72; p=0.001) were independently associated with cancer-specific mortality. Our models achieved 76.8% and 81.5% accuracy for predicting RFS and CSS, respectively. In contrast to these well-calibrated models, stratification based upon AJCC stage grouping resulted in a large degree of heterogeneity and did not improve discrimination., Conclusions: Using standard pathologic features, we developed highly accurate prognostic models for the prediction of RFS and CSS after RNU for UTUC. These models offer improvements in calibration over AJCC stage grouping and can be used for individualized patient counseling, follow-up scheduling, risk stratification for adjuvant therapies, and inclusion criteria for clinical trials., (Copyright © 2012 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Background: Prognostic factors after radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC) are inconclusive, because most data in the literature have been obtained from small series., Objective: To assess the association of tumour necrosis with cancer recurrence and survival in a large international series of patients treated with RNU., Design, Setting, and Participants: Data were collected from 1425 patients treated with RNU at 13 centres and combined into a relational database. Pathologic slides were re-reviewed by genitourinary pathologists according to strict criteria. Extensive tumour necrosis was scored as >10% of the tumour area., Intervention: Patients underwent either open or laparoscopic RNU. Lymph node dissection was performed in the presence of enlarged nodes., Measurements: Recurrence was defined as tumour relapse in the operative field, lymph node (LN) metastasis, and/or distant metastases. Bladder recurrences were not considered. Associations of extensive tumour necrosis with recurrence-free survival and cancer-specific survival were evaluated by univariate and multivariate analyses., Results and Limitations: Extensive tumour necrosis was observed in 364 patients (25.5%) and was associated with advanced tumour stage, high tumour grade, sessile architecture, lymphovascular invasion (LVI), concomitant carcinoma in situ, and LN metastasis (p<0.0001 each). Extensive tumour necrosis was independently associated with disease recurrence and survival (p=0.037 and p=0.046, respectively) after adjusting for the effects of pathologic stage, grade, LVI, and LN status. The addition of extensive tumour necrosis to a base model comprising standard pathologic predictors marginally improved its predictive accuracy for both cancer-specific recurrence (1.5%) and survival (1.4%)., Conclusions: Extensive tumour necrosis is an independent predictor of clinical outcomes in patients who undergo RNU for UTUC. Assessment of tumour necrosis may help to identify patients who could benefit from multimodal therapy after RNU in the future. Evaluation of extensive tumour necrosis should be part of standard pathologic reporting., (Copyright © 2009 European Association of Urology. Published by Elsevier B.V. All rights reserved.)