Metabolic syndrome and upper tract urothelial carcinoma: A retrospective analysis from a large Chinese cohort

2019 ◽  
Vol 37 (4) ◽  
pp. 291.e19-291.e28 ◽  
Author(s):  
Hang Xu ◽  
Ping Tan ◽  
Xiaonan Zheng ◽  
Jianzhong Ai ◽  
Tianhai Lin ◽  
...  
2021 ◽  
Vol 10 ◽  
Author(s):  
Yi Lu ◽  
Wei Zhang ◽  
Shujun Fan ◽  
Zhen Liang ◽  
Zhongjia Li ◽  
...  

BackgroundMetabolic syndrome (MetS) and its components are associated with increased risks of several cancers. However, the relationship between MetS and upper tract urothelial carcinoma (UTUC) has never been investigated before.MethodsWe identified 3,785 UTUC cases aged over 65 years old within the Surveillance, Epidemiology and End Results-Medicare database between 2007 and 2016. For comparison, non-cancer controls (n = 189,953) were selected from the 5% random sample of individuals residing within regions of SEER registries and matched with cases through diagnosis date and pseudo-diagnosis date. MetS and its components were all defined by using ICD-9-CM codes. Multivariate logistic regression models were conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Time trends for MetS and its components were reported and we also performed dose-response effect analysis to test the concomitant effect of these components. The study was presented following the STROBE reporting checklist.ResultsUTUC risk was associated with metabolic syndrome (NCEP-III: OR: 1.669, 95% CI: 1.550–1.792; IDF: OR: 1.924, 95% CI: 1.676–2.172) and its component factors: elevated waist circumference/central adiposity (OR: 1.872, 95% CI: 1.693–2.055), impaired fasting glucose (OR: 1.306, 95% CI: 1.133–1.480), high blood pressure (OR: 1.295, 95% CI: 1.239–1.353), high triglycerides (OR: 1.280, 95% CI: 1.222–1.341), and low high-density lipoprotein cholesterol (OR: 1.354, 95% CI: 1.118–1.592). Consistent associations could also be observed in the subgroup analyses by tumor stages, grades, and tumor size. Additionally, the rates of MetS increased over time in both UTUC and control cohort (NCEP-III criterion; EAPC: +18.1%, P <0.001; EAPC: +16.1%, P <0.001, respectively). A significantly gradual increase in UTUC rates could be seen as the No. of the MetS components increase (χ² = 37.239, Ptrend = 0.000).ConclusionsAmong people aged over 65, MetS and its components were significant risk factors for UTUC with consistent associations in different tumor stages, grades, and tumor size. Even if a subject who did not meet the criteria for MetS had only one of the components, he (she) still had an elevated risk for UTUC. Strategies to control the epidemic of MetS and its components might contribute to a reduction in the UTUC burden. The findings should be considered tentative until ascertained by more researches.


2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 452-452
Author(s):  
Hang Xu ◽  
Ping Tan ◽  
Lu Yang ◽  
Qiang Wei

452 Background: Metabolic syndrome (MetS) has been reported to be associated with poor survival outcomes in cancer patients. However, the role of MetS in upper tract urothelial carcinoma (UTUC) has yet to be explored. We aim to investigate the prognostic value of MetS in UTUC after radical nephroureterectomy (RNU). Methods: A total of 644 patients with UTUC after RNU were identified at West China Hospital from May 2003 to December 2016. MetS was defined as the co-existence of three or more of five components (obesity, hypertension, elevated fasting glucose, decreased high-density lipoprotein-cholesterol and hypertriglyceridemia). Logistic and Cox regression analyses was performed to evaluate the associations of MetS with pathological features and survival outcomes. Decision curve analysis was performed to determine the clinical utility of the prediction models. Results: Of 644 patients, 157 (24.4%) had MetS. Over a median follow-up of 39 months, 269 (41.8%) experienced disease recurrence, 233 (36.2%) died and 185 (28.7%) died of UTUC. MetS was independently associated with high-grade disease (odds ratio [OR]: 2.01, P = 0.005), advanced pT stage (≥ pT3, OR: 1.54, P = 0.027) and lymphovascular invasion (OR: 1.71, P = 0.03). Multivariate Cox regression analysis showed that MetS was an independent factor for decreased cancer-specific survival (CSS, HR: 1.38, 95% CI: 1.01-1.89, P = 0.042) but not for RFS (HR: 1.27, 95% CI: 0.97-1.67, P = 0.078) and OS (HR: 1.24, 95% CI: 0.95-1.62, P = 0.121). The estimated c-index of the multivariate models for CSS was 0.763 compared with 0.769 when MetS added. Conclusions: MetS is a negative prognostic factor in UTUC. Further studies of MetS in UTUC are demanded.


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.


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