医学
一致性
比例危险模型
内科学
肿瘤科
泌尿科
尿路上皮癌
癌症
外科
膀胱癌
作者
Markus von Deimling,David D’Andrea,Benjamin Pradère,Ekaterina Laukhtina,Takafumi Yanagisawa,Tatsushi Kawada,Muhammad Majdoub,Paweł Rajwa,Maximilian Pallauf,Nirmish Singla,Francesco Soria,Vitaly Margulis,Piotr Chłosta,Pierre I. Karakiewicz,Morgan Rouprêt,Jeremy Yuen‐Chun Teoh,Margit Fisch,Michael Rink,Marco Moschini,Yair Lotan,Shahrokh F. Shariat
标识
DOI:10.1007/s00345-023-04449-1
摘要
To evaluate the prognostic value and the clinical impact of preoperative serum cholinesterase (ChoE) levels on decision-making in patients treated with radical nephroureterectomy (RNU) for clinically non-metastatic upper tract urothelial cancer (UTUC).A retrospective review of an established multi-institutional UTUC database was performed. We evaluated preoperative ChoE as a continuous and dichotomized variable using a visual assessment of the functional form of the association of ChoE with cancer-specific survival (CSS). We used univariable and multivariable Cox regression models to establish its association with recurrence-free survival (RFS), CSS, and overall survival (OS). Discrimination was evaluated using Harrell's concordance index. Decision curve analysis (DCA) was used to assess the impact on clinical decision-making of preoperative ChoE.A total of 748 patients were available for analysis. Within a median follow-up of 34 months (IQR 15-64), 191 patients experienced disease recurrence, and 257 died, with 165 dying of UTUC. The optimal ChoE cutoff identified was 5.8 U/l. ChoE as continuous variable was significantly associated with RFS (p < 0.001), OS (p < 0.001), and CSS (p < 0.001) on univariable and multivariable analyses. The concordance index improved by 8%, 4.4%, and 7% for RFS, OS, and CSS, respectively. On DCA, including ChoE did not improve the net benefit of standard prognostic models.Despite its independent association with RFS, OS, and CSS, preoperative serum ChoE has no impact on clinical decision-making. In future studies, ChoE should be investigated as part of the tumor microenvironment and assessed as part of predictive and prognostic models, specifically in the setting of immune checkpoint-inhibitor therapy.
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