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Objective: To investigate the effectiveness of combination treatment of vascular targeted photodynamic therapy and anti‐cytotoxic T‐lymphocyte‐associated antigen 4 immunotherapy in a mouse model of urothelial carcinoma. Methods: We used C57BL/6 mice injected with murine bladder 49 cell line. Mice were randomly allocated into four treatment groups: vascular targeted photodynamic therapy only, anti‐cytotoxic T‐lymphocyte‐associated antigen 4 only, combination therapy and control. We carried out three separate experiments that used distinct cohorts of mice: tumor growth and development of lung metastases monitored with bioluminescent imaging (n = 91); survival evaluated with Kaplan–Meier curves (n = 111); and tumor cell population studied with flow cytometry (n = 20). In a fourth experiment, we re‐challenged tumors in previously treated mice and compared tumor growth with that of naïve mice. Results: Combination therapy provided significant benefits over the other three treatment groups: prolonged survival (P < 0.0001), lower tumor signal (P < 0.0001) and decreased lung signal uptake (P ≤ 0.002). We also observed that mice previously treated with vascular targeted photodynamic therapy only or combination therapy did not present tumor growth after re‐challenged tumors. Conclusions: Combination of vascular targeted photodynamic therapy with anti‐cytotoxic T‐lymphocyte‐associated antigen 4 is an effective therapy in a urothelial carcinoma syngeneic mouse model. The present results suggest this therapy as a potential treatment option for both bladder and upper tract tumors in future clinical trials. [ABSTRACT FROM AUTHOR]

To determine if clustering methods can use a holistic assessment of health-related quality-of-life after bladder cancer diagnosis to predict survival outcomes independent of clinical characteristics. In the United States, an estimated 81,180 cases of bladder cancer will be diagnosed in 2022. We aim to help address the knowledge gap concerning the impact of patient functional status on outcomes. This is a cross-sectional, retrospective cohort study of patients in the End Results-Medicare Health Outcomes Survey Registry. Age and 36-Item Short Form Survey (SF-36) responses were used as K-means inputs to identify homogenous clusters of older patients with bladder cancer. We analyzed the association between the identified clusters, patient and disease characteristics, and outcomes. We used Cox proportional hazard regression to compare overall survival. We identified 5 homogenous clusters that exhibited differences in patient characteristics and survival. There was no significant difference in cancer stage or surgery type among the clusters. The Cox proportional hazard regression demonstrated significant associations of cluster with gender, age, education, marital status, smoking status, type of surgery, and cancer stage on overall survival. Cluster independently predicted overall survival. Using unsupervised machine learning, we identified clusters of patients with bladder cancer who had similar mental and physical function scores. Cluster grouping suggests that patients' mental and physical function may not be based on disease or treatment. There are significant survival differences between all clusters, demonstrating that a holistic assessment of patient-reported health-related quality-of-life has the potential to predict survival and possible modifiable risk factors in older patients with bladder cancer. [ABSTRACT FROM AUTHOR]