Selection, Administration and Description of Neoadjuvant versus Adjuvant Therapy for Upper Tract Urothelial Carcinoma

2021 ◽  
pp. 447-456
Author(s):  
Rohan Shotton ◽  
Alison Birtle
2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Jong Keun Kim ◽  
Myungchan Park ◽  
Myong Kim ◽  
Dalsan You ◽  
In Gab Jeoung ◽  
...  

Author(s):  
Shicong Lai ◽  
Xingbo Long ◽  
Pengjie Wu ◽  
Jianyong Liu ◽  
Samuel Seery ◽  
...  

Abstract Objective To evaluate the role of Ki-67 in predicting subsequent intravesical recurrence following radical nephroureterectomy and to develop a predictive nomogram for upper tract urothelial carcinoma patients. Methods This retrospective analysis involved 489 upper tract urothelial carcinoma patients who underwent radical nephroureterectomy with bladder cuff excision. The data set was randomly split into a training cohort of 293 patients and a validation cohort of 196 patients. Immunohistochemical analysis was used to assess the immunoreactivity of the biomarker Ki-67 in the tumor tissues. A multivariable Cox regression model was utilized to identify independent intravesical recurrence predictors after radical nephroureterectomy before constructing a nomographic model. Predictive accuracy was quantified using time-dependent receiver operating characteristic curve. Decision curve analysis was performed to evaluate the clinical benefit of models. Results With a median follow-up of 54 months, intravesical recurrence developed in 28.2% of this sample (n = 137). Tumor location, multifocality, pathological T stage, surgical approach, bladder cancer history and Ki-67 expression levels were independently associated with intravesical recurrence (all P < 0.05). The full model, which intercalated Ki-67 with traditional clinicopathological parameters, outperformed both the basic model and Xylinas’ model in terms of discriminative capacity (all P < 0.05). Decision-making analysis suggests that the more comprehensive model can also improve patients’ net benefit. Conclusions This new model, which intercalates the Ki-67 biomarker with traditional clinicopathological factors, appears to be more sensitive than nomograms previously tested across mainland Chinese populations. The findings suggest that Ki-67 could be useful for determining risk-stratified surveillance protocols following radical nephroureterectomy and in generating an individualized strategy based around intravesical recurrence predictions.


2021 ◽  
Vol 79 ◽  
pp. S1105-S1106
Author(s):  
A. Martini ◽  
C. Lonati ◽  
A. Necchi ◽  
A. Briganti ◽  
F. Montorsi ◽  
...  

2021 ◽  
Vol 10 (13) ◽  
pp. 2983
Author(s):  
Kun-Che Lin ◽  
Hau-Chern Jan ◽  
Che-Yuan Hu ◽  
Yin-Chien Ou ◽  
Yao-Lin Kao ◽  
...  

Objectives: This study aimed at investigating the prognostic impact of tumor necrosis and preoperative monocyte-to-lymphocyte ratio (MLR) in patients treated with radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC). Methods: A total of 521 patients with UTUC treated with RNU from January 2008 to June 2019 at our institution were enrolled. Histological tumor necrosis was defined as the presence of microscopic coagulative necrosis. The optimal value of MLR was determined as 0.4 by receiver operating characteristic (ROC) analysis based on cancer-specific mortality. The Kaplan–Meier method with log-rank test and Cox proportional hazards regression models were performed to evaluate the impact of tumor necrosis and MLR on overall (OS), cancer-specific (CSS), and recurrence-free survival (RFS). Furthermore, ROC analysis was used to estimate the predictive ability of potential prognostic factors for oncological outcomes. Results: Tumor necrosis was present in 106 patients (20%), which was significantly associated with tumor location, high pathological tumor stage, lymph node metastasis, high tumor grade, lymphovascular invasion, tumor size, and increased monocyte counts. On multivariate analysis, the combination of tumor necrosis and preoperative MLR was an independent prognosticator of OS, CSS, and RFS (all p < 0.05). Moreover, ROC analyses revealed the predictive accuracy of a combination of tumor necrosis and preoperative MLR for OS, CSS, and RFS with the area under the ROC curve of 0.745, 0.810, and 0.782, respectively (all p < 0.001). Conclusions: The combination of tumor necrosis and preoperative MLR can be used as an independent prognosticator in patients with UTUC after RNU. The identification of this combination could help physicians to recognize high-risk patients with unfavorable outcomes and devise more appropriate postoperative treatment plans.


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