Objectives: The objective of this study was to update the long-term outcome in the treatment of locally advanced upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU) regarding the role of adjuvant chemotherapy. Materials and methods: Clinical data from 138 patients who underwent RNU for locally advanced UTUC (pT3/4 or pN+) were analyzed. Results: The adjuvant chemotherapy group comprised 66 patients, and other 72 patients did not receive adjuvant chemotherapy. Cisplatin-based chemotherapy was the most common regimen, depending on the patient's eligibility and renal function. The median follow-up period was 48.7 months (interquartile range: 29.2-96.9 months). The 3-and 5-year disease-specific survival (DSS) rates were 76.0% and 69.9% for the non-adjuvant chemotherapy group versus 74.6% and 54.5% for the adjuvant chemotherapy group (p=0.301, log-rank test). Overall survival (OS) rates for the same time period were 70.1% and 62.9% for the non-adjuvant chemotherapy group versus 73.8% and 53.2% for the adjuvant chemotherapy group (p=0.931, log-rank test). On multivariate analysis, adjuvant chemotherapy could not predict DSS and OS after surgery. When patients who received cisplatin-based adjuvant chemotherapy (n=59) were compared to those who did not receive adjuvant chemotherapy, similar results were found. Conclusions: There does not appear to be a significant DSS or OS benefit associated with adjuvant chemotherapy. Prospective randomized clinical trials are necessary to verify the effect of adjuvant chemotherapy on locally advanced UTUC.

Purpose The study evaluated whether preoperative measures of the C-reactive protein-based systemic inflammatory response may predict cancer survival independent of tumor stage in patients with upper urinary tract urothelial carcinoma (UTUC). Materials and Methods Between September 1999 and October 2010, 181 patients submitted to radical nephroureterectomy were available for evaluation. Multivariate survival analyses were performed using Cox’s proportional hazards model and the coefficient for each factor was divided by the highest coefficient, multiplied by 4, and rounded to the nearest integer. Results Multivariate analyses showed that tumor location, pathologic T stage, lymphovascular invasion, margin status, and albumin level were independent contributors. The bootstrap-corrected C statistics of the model were 0.813 for disease-specific survival and 0.755 for overall survival, respectively. For time to disease-specific and overall mortality for patients, integrated area under the curve values were 0.792 and 0.739, respectively. When patients were clustered into three groups according to their model-predicted survival, the 5-year disease-specific survival in the low-, intermediate- and high-risk group was 95.4%, 76.2%, and 36.9%, respectively (p<0.001), and were 87.8%, 54.4%, and 31.8%, respectively, for overall survival (p<0.001). Decision curve analysis revealed that the use of model was associated with net benefit gains relative to the treat-all strategy. Conclusions   Pretreatment albumin is a simple biomarker based on routinely available well-standardized measures, and is not an expensive and time-consuming process. Hypoalbuminemia is an independent marker of poor prognosis in patients with upper urinary tract urothelial carcinoma.