Erschienen in:
01.04.2014 | Topic Paper
Risk stratification of metastatic recurrence in invasive upper urinary tract carcinoma after radical nephroureterectomy without lymphadenectomy
verfasst von:
Pierre Colin, Tarek P. Ghoneim, Laurent Nison, Thomas Seisen, Eric Lechevallier, Xavier Cathelineau, Adil Ouzzane, Marc Zerbib, Jean-Alexandre Long, Alain Ruffion, Sébastien Crouzet, Olivier Cussenot, Marie Audouin, Jacques Irani, Solène Gardic, Pascal Gres, François Audenet, Mathieu Roumiguié, Antoine Valeri, Morgan Rouprêt
Erschienen in:
World Journal of Urology
|
Ausgabe 2/2014
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Abstract
Purpose
To assess the risk factors of metastasis relapse in pT2-3 upper tract urothelial carcinomas (UTUCs) treated by radical nephroureterectomy (RNU) without lymphadenectomy (LN).
Methods
A multicentric retrospective study was performed for pT2-3 pNx UTUCs treated by RNU between 1995 and 2010. The following criteria were retrieved: age, gender, American Society of Anaesthesiologists physical status, surgical approach, preoperative hydronephrosis, stage, grade, tumor location, surgical margin, lymphovascular invasion (LVI) status and outcomes. Metastasis-free survival (MFS) was measured by Kaplan–Meier method with the log-rank test.
Results
Overall, 151 patients were included. The median follow-up was 18.5 months (IQR 9.5–37.9). The 2- and 5-year MFS were 69 % ± 4.5 and 54.1 % ± 5.8, respectively. In univariate analysis, ureteral location, pT3 stage, positive LVI status and positive surgical margin were significantly associated with worse MFS (p = 0.03; 0.02; 0.01 and 0.006, respectively). In the multivariate analysis of ureteral location and pT3 stage were independent prognostic factors (p = 0.03 and 0.03, respectively). Based on the results of the univariate analysis, we proposed a risk model predicting MFS, which classifies patients into 3 categories with different overall survival (p < 0.001).
Conclusion
In view of our data, tumor location, T stage, LVI and surgical margin status are mandatory to predict survival in case of RN without LN. Contingent upon external validation, our risk model based on these variables could be useful to provide relevant information concerning metastasis relapse probability and necessity of close follow-up for these patients.