Background: Few reports have focused on the influencing factors of localized prostate cancer (PCa)-specific mortality so far. This study aimed to develop a competitive risk model for identifying the factors influencing the localized PCa mortality rate based on 135,310 subjects in the Surveillance, Epidemiology, and End Results (SEER) database.Methods: We included 135,310 localized PCa male patients from SEER database 2004-2016 in this cohort study, and collected the baseline information of all patients, including age of diagnosis, race, marital status, socioeconomic status (SES), American Joint Committee on Cancer (AJCC) stage, prostate-specific antigen (PSA) Gleason score, and so on. The outcome was considered as PCa-specific mortality in this study. The end time of follow-up was November 2018. Independent risk factors were examined by multivariate Fine-Gray analysis. The results are shown by hazard ratio (HR) and 95% confidence interval (CI).Results: All patients were divided into three groups: died from localized PCa (n=1,400), died from other causes (n=16,996), and survived (n=116,914). The diagnostic age of 119,899 patients was ≥55 years. The multivariate Fine-Gray analysis indicated that age of diagnosis (55-70 years:

Introduction: Bladder cancer (BLCA) is one of the most common malignancies in the urinary system with a poor prognosis and high treatment costs. Identifying potential prognostic biomarkers is significant for exploring new therapeutic and predictive targets of BLCA.Methods: In this study, we screened differentially expressed genes using the GSE37815 dataset. We then performed a weighted gene co‐expression network analysis (WGCNA) to identify the genes correlated with the histologic grade and T stage of BLCA using the GSE32548 dataset. Subsequently, Kaplan Meier survival analysis and Cox regression were used to further identify prognosis‐related hub genes using the datasets GSE13507 and TCGA‐BLCA. Moreover, we detected the expression of the hub genes in 35 paired samples, including BLCA and paracancerous tissue, from the Shantou Central Hospital by qRT‐polymerase chain reaction.Results: This study showed that Anillin (ANLN) and Abnormal spindle-like microcephaly-associated gene (ASPM) were prognostic biomarkers for BLCA. High expression of ANLN and ASPM was associated with poor overall survival.The qRT‐PCR results revealed that ANLN and ASPM genes were upregulated in BLCA, and there was a correlation between the expression of ANLN and ASPM in cancer tissues and paracancerous tissue. Additionally, the increasing multiples in the ANLN gene was obvious in high-grade BLCA.Discussion: In summary, this preliminary exploration indicated a correlation between ANLN and ASPM expression. These two genes, serving as the risk factors for BLCA progression, might be promising targets to improve the occurrence and progression of BLCA.