Abstract

This study evaluates the survival outcomes of segmental ureterectomy (SU) combined with chemotherapy in patients with high-grade non-metastatic ureteral cancer (UC) using data from the SEER database. A total of 1757 patients with Grade III-IV non-metastatic UC were analyzed. Overall survival (OS) was assessed through Kaplan–Meier analysis, and independent prognostic factors were identified via Cox regression. A Nomogram model was developed and evaluated using the concordance index, area under the time-dependent ROC curve, calibration curves, and decision curve analysis. The 1-, 3-, and 5-year OS rates were 82.8%, 55.6%, and 42.8%, respectively. Age, treatment protocol, T stage, and N stage were significant prognostic factors. Both SU + chemotherapy and radical nephroureterectomy (RNU) + chemotherapy demonstrated comparable survival outcomes, outperforming surgery alone, particularly in patients aged 70 and older. The Nomogram demonstrated high predictive accuracy and clinical utility. These findings suggest that SU + chemotherapy offers survival benefits similar to RNU + chemotherapy, making it a viable option, especially for elderly patients or those with impaired renal function.

Details

Title
Prognostic evaluation of segmental ureterectomy combined with chemotherapy in high-grade non-metastatic ureteral cancer: a study based on the SEER database
Author
Xia, Yu 1 ; Ma, Bin-Bin 1 ; Li, Meng-Yun 2 ; Liu, Xi 1 ; Xu, Dan-Feng 3 ; Huang, Tao 1 

 Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Department of Urology, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) 
 Shanghai Electric Power Hospital, Department of Health Management, Shanghai, China (GRID:grid.495525.a) (ISNI:0000 0004 0552 4356) 
 Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Department of Urology, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Department of Urology, Shanghai, China (GRID:grid.412277.5) (ISNI:0000 0004 1760 6738) 
Pages
25090
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3119848617
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.