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Although the albumin-to-globulin ratio (AGR) is a promising biomarker, no study has investigated its prognostic significance for advanced urothelial carcinoma (UC). This study conformed to the REporting recommendations for tumor MARKer prognostic studies (REMARK) criteria. We retrospectively reviewed 176 patients with advanced UC treated with pembrolizumab between 2018 and 2020. We evaluated the associations between pretreatment clinicopathological variables, including the AGR and performance status (PS), with progression-free survival, cancer-specific survival, and overall survival. The Cox proportional hazards model was used for univariate and multivariable analyses. The AGR was dichotomized as < 0.95 and ≥ 0.95 based on receiver operating characteristic curve analysis. After excluding 26 cases with missing data from the total of 176 cases, 109 (73%) patients experienced disease progression, 75 (50%) died from UC, and 6 (4%) died of other causes (median survival = 12 months). Multivariate analyses identified PS ≥ 2 and pretreatment AGR < 0.95 as independent poor prognostic factors for all endpoints. Furthermore, a prognostic risk model incorporating these two variables achieved a relatively high concordance index for all endpoints. This is the first report to evaluate the significance of AGR in advanced UC. Pretreatment AGR < 0.95 may serve as a prognostic marker for advanced UC treated with pembrolizumab. [ABSTRACT FROM AUTHOR]

Background: Several prognostic models predicting survival of patients with metastatic urothelial carcinoma (UC) have been developed; however, of them, the first model by Bajorin in 1999 is still the most representative and widely used, and validations of newer models are lacking. This study aimed to validate three major prognostic models for metastatic UC constructed based on clinical trials. Methods: We reviewed 200 patients with metastatic UC who received first-line chemotherapy at our five affiliate institutions between 2003 and 2011. Using this multi-institutional cohort, we validated the following models: the 'Bajorin model,' a model consisting of visceral metastasis and performance status; the 'Apolo model,' a nomogram including visceral metastasis, performance status, albumin and hemoglobin; and the 'Galsky model,' a nomogram including leukocyte count, number of sites of visceral metastases, site of primary tumor, performance status and lymph node metastasis. Harrell's c-index was calculated for each model. Cox proportional hazards regression model was used for multivariate analysis. Results: Among 200 patients, 171 (85.5 %) died during the follow-up, with a median survival of 12.0 months. Multivariate analysis demonstrated ECOG performance status, visceral metastasis and leukocyte count to be independent predictors of overall survival. C-index results (95 % confidence interval) were Bajorin: 0.86 (0.74-0.95); Apolo: 0.89 (0.78-0.98); and Galsky: 0.82 (0.69-0.93). Conclusions: All models were demonstrated to have high external validities in real-world patients, and of them, the 'Apolo model' achieved the highest c-index in the present population. Further studies with larger populations are needed for establishment of the next standard model. [ABSTRACT FROM AUTHOR]

Objectives To evaluate the prognostic significance of the pretreatment neutrophil-to-lymphocyte ratio in patients with metastatic urothelial carcinoma who underwent salvage chemotherapy. Methods We reviewed 200 metastatic urothelial carcinoma patients who received salvage chemotherapy at our five affiliate institutions between 2003 and 2011. The associations of pretreatment clinicopathological factors, including neutrophil-to-lymphocyte ratio, with cancer-specific survival and overall survival from the start of chemotherapy were assessed. Cox proportional hazards model was used for multivariate analysis. Results A total of 15 cases with missing data were excluded. Among the remaining 185 patients, 157 died during follow up, with a median survival of 13.0 months. Multivariate analysis showed that the pretreatment neutrophil-to-lymphocyte ratio ≥3, Eastern Cooperative Oncology Group performance status ≥2 and liver metastasis were independent poor prognostic factors, both for cancer-specific survival and overall survival. A prognostic model predicting overall survival was constructed based on the number of these three variables (0, 1 and ≥ 2). The classified patients showed significantly different overall survival (each P < 0.0001, log-rank test), with Harrell's concordance index as high as 0.81. Conclusions Pretreatment neutrophil-to-lymphocyte ratio elevation was an independent poor prognostic factor for metastatic urothelial carcinoma undergoing salvage chemotherapy. Our newly constructed prognostic model including the pretreatment neutrophil-to-lymphocyte ratio proved to be an excellent discriminator of overall survival. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to identify prognostic clinicopathological factors and to create a nomogram able to predict overall survival (OS) in recurrent urothelial carcinoma of the bladder (UCB) after radical cystectomy (RC).Materials and Methods: Among 1,087 patients with UCB who had undergone RC at our 11 institutions between 1990 and 2010, 306 patients who subsequently developed distant metastasis or local recurrence or both were identified. Clinical data were collected with medical record review. Univariate and multivariate Cox regression models addressed OS after recurrence. A nomogram predicting postrecurrence OS was constructed based on Cox proportional hazards model, without using postrecurrence factors (systemic chemotherapy and resection of metastasis). The performance of the nomogram was internally validated by assessing concordance index and calibration plots.Results: Of the 306 patients, 268 died during follow-up with a median survival of 7 months (95% CI: 5.8-8.5). Postrecurrence chemotherapy was administered in 119 patients (38.9%). Multivariable analysis identified 9 independent predictors for OS; period of time from RC to recurrence (time-to-recurrence), symptomatic recurrence, liver metastasis, hemoglobin level, serum alkaline phosphatase level, serum lactate dehydrogenase level, serum C-reactive protein level, postrecurrence chemotherapy, and resection of metastasis. A nomogram was formed with the following 5 variables to predict OS: time-to-recurrence, symptomatic recurrence, liver metastasis, albumin level, and alkaline phosphatase level. Concordance index rate was 0.75 (95% CI: 0.72-0.78) by internal validation using Bootstraps with 1,000 resamples. Calibration plots showed that the nomogram fitted well.Conclusions: We identified 9 clinicopathological factors as independent OS predictors in postcystectomy recurrence of UCB. We also created a validated nomogram with 5 variables that efficiently stratified those patients regardless of eligibility for chemotherapy. The nomogram would be useful for acquiring relevant prognostic information and for stratifying patients for clinical trials. [ABSTRACT FROM AUTHOR]