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DOI 10.1097/md.0000000000036063

Медицинская библиотека · Medicine · 2023

Incidence, mortality and survival of transitional cell carcinoma in the urinary system: A population-based analysis.

Tang Xiaofeng, Zhan Xiangpeng, Chen Xiaomin

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Аннотация

The goal of this study is exploring the disparity of incidence, mortality and survival outcome among transitional cell carcinomas (TCCs) in the 4 parts of urinary system. This study comprehensively evaluates these disparities using the Surveillance, Epidemiology, and End Results (SEER) (2000-2018) database. According to the SEER database, the urinary tract is divided into 4 parts: urinary bladder, renal pelvis, ureter, and urethra. The joinpoint regression was used to analyze the secular trend of incidence and incidence-based mortality (IBM). The Kaplan-Meier method with the log-rank test is performed to evaluate survival outcomes. The bladder TCC has the highest age-adjusted incidence and mortality rate compared with TCC in other 3 locations. A slight decrease in incidence is shown in the both bladder and urethra TCCs during 2000-2018. The age-adjusted mortality rate similarly presents an initial increase among 4 locations TCCs at the beginning of study period. The survival curves demonstrate that patients with bladder TCCs have better overall survival (OS) and cancer-specific survival (CSS), whereas those with renal pelvis TCCs have the worse OS and CSS. In addition, patients with bladder TCC have the highest 1-year, 3-year, 5-year relative survival rate, and those with renal pelvis TCC have the lowest. These disparities are especially essential when we explore tumor characteristics and treatment, extrapolated from the literature on bladder TCC for upper tract urothelial carcinoma (UTUC). Notably, patients with bladder TCC especially for localized stage have better survival outcomes than those with UTUC.

Для цитирования: Tang Xiaofeng, Zhan Xiangpeng, Chen Xiaomin. Incidence, mortality and survival of transitional cell carcinoma in the urinary system: A population-based analysis.. Medicine. 2023. DOI: 10.1097/md.0000000000036063.

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