| Literature DB >> 29953747 |
Ning Lin1, Yu-Peng Wu1, Yun-Zhi Lin1, Xuan Tao1, Shao-Hao Chen1, Zhi-Bin Ke1, Yong Wei1, Qing-Shui Zheng1, Xue-Yi Xue1, Ning Xu1.
Abstract
The mechanism of upper tract recurrence after local excision of bladder cancer remains unknown. This study was designed to identify risk factors for upper tract urothelial recurrence following local tumor excision of bladder cancer. To identify 76 597 bladder cancer patients, comprising 76 537 nonrecurrence and 60 recurrence patients, the Surveillance, Epidemiology, and End Results database was used. Kaplan-Meier analysis and univariate and multivariate Cox proportional hazards regression models were used to determine the risk factors. Compared with the nonrecurrence group, the recurrence group was associated with older age, higher grade, high T stage, and higher proportional squamous cell carcinomas. Univariate Cox proportional hazards regression model showed that age, grades III and IV, T stage, and pathology were significantly associated with worse upper tract urothelial recurrence (UTUR) survival. However, after adjusting for prognostic factors, grade was no longer an independent prognostic factor in multivariate analysis. This study demonstrates that clinical prognosis of UTUR after local bladder tumor excision has significant independent risk factors that include age ≥60 years, T1 and T2 stage, and squamous cell carcinoma, and will require more careful consideration during follow-up.Entities:
Keywords: bladder cancer; local excision; risk factor; upper tract recurrence
Mesh:
Year: 2018 PMID: 29953747 PMCID: PMC6089153 DOI: 10.1002/cam4.1642
Source DB: PubMed Journal: Cancer Med ISSN: 2045-7634 Impact factor: 4.452
Characteristics of nonrecurrence and recurrence patients
| Recurrence | Nonrecurrence | Recurrence |
|
|---|---|---|---|
| Age, y | <.001 | ||
| <60 | 15968 (20.863%) | 1 (1.667%) | |
| ≥60, <70 | 19859 (25.947%) | 10 (16.667%) | |
| ≥70, <80 | 21370 (27.921%) | 18 (30.000%) | |
| ≥80 | 19340 (25.269%) | 31 (51.667%) | |
| Race | .178 | ||
| Others | 7218 (9.431%) | 9 (15.000%) | |
| White | 69319 (90.569%) | 51 (85.000%) | |
| Gender | .224 | ||
| Female | 19036 (24.872%) | 19 (31.667%) | |
| Male | 57501 (75.128%) | 41 (68.333%) | |
| Grade | .006 | ||
| I | 11868 (15.506%) | 3 (5.000%) | |
| II | 21453 (28.030%) | 13 (21.667%) | |
| III | 12157 (15.884%) | 17 (28.333%) | |
| IV | 18039 (23.569%) | 20 (33.333%) | |
| Unknown | 13020 (17.011%) | 7 (11.667%) | |
| T stage | <.001 | ||
| Ta | 47619 (62.217%) | 18 (30.000%) | |
| T1 | 20754 (27.116%) | 23 (38.333%) | |
| T2 | 8164 (10.667%) | 19 (31.667%) | |
| Pathology | .004 | ||
| Transitional cell carcinoma | 76153 (99.498%) | 57 (95.000%) | |
| Squamous cell carcinoma | 384 (0.502%) | 3 (5.000%) | |
Figure 1Cumulative hazard of upper tract urothelial recurrence survival stratified by T stage
Figure 2Cumulative hazard of upper tract urothelial recurrence survival stratified by age
Figure 3Upper tract urothelial recurrence survival stratified by pathology
Figure 4Stratification analysis of upper tract urothelial recurrence survival between transitional cell and squamous cell carcinomas