Development and validation of a model to predict the outcomes of radical cystectomy in patients with bladder cancer.

Autor: Fukuokaya W; Department of Urology, Jikei University Kashiwa Hospital, Chiba, Japan.; Department of Urology, The Jikei University School of Medicine, Tokyo, Japan., Miki J; Department of Urology, Jikei University Kashiwa Hospital, Chiba, Japan.; Department of Urology, The Jikei University School of Medicine, Tokyo, Japan., Taoka R; Department of Urology, Faculty of Medicine, Kagawa University, Takamatsu, Kagawa, Japan., Saito R; Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Matsui Y; Department of Urology, National Cancer Center Hospital, Tokyo, Japan., Hatakeyama S; Department of Urology, Hirosaki University Graduate School of Medicine, Aomori, Japan., Kawahara T; Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan., Matsuda A; Department of Urology, National Cancer Center Hospital, Tokyo, Japan., Kawai T; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.; Department of Urology, Teikyo University School of Medicine, Tokyo, Japan., Kato M; Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Sazuka T; Department of Urology, Graduate School of Medicine, Chiba University, Chiba, Japan., Sano T; Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Urabe F; Department of Urology, The Jikei University School of Medicine, Tokyo, Japan.; Department of Urology, Jikei University Hospital, Tokyo, Japan., Kashima S; Department of Urology, Akita University Graduate School of Medicine, Akita, Japan., Naito H; Department of Urology, Kurashiki Central Hospital, Okayama, Japan., Murakami Y; Department of Urology, Graduate School of Life Science, Kumamoto University, Kumamoto, Japan., Nishiyama N; Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan., Nishiyama H; Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan., Kitamura H; Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan., Kimura T; Department of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Jazyk: angličtina
Zdroj: International journal of urology : official journal of the Japanese Urological Association [Int J Urol] 2024 Dec; Vol. 31 (12), pp. 1414-1422. Date of Electronic Publication: 2024 Sep 18.
DOI: 10.1111/iju.15585
Abstrakt: Objectives: This study aims to develop a prognostic model that estimates the post-operative risk of cancer-specific mortality in patients with bladder cancer who underwent radical cystectomy (RC).
Methods: We analyzed the data from patients with bladder cancer who had undergone radical cystectomy without receiving adjuvant chemotherapy across 36 institutions in the Japan Urological Oncology Group. The data were randomly split into training (N = 1348) and validation sets (N = 674) in a 2:1 ratio. Twenty-five variables were analyzed, and a multivariable Cox regression model predicting cancer-specific mortality was developed and validated. Prognostic scores were categorized into good and poor prognostic groups based on the upper tertile. The performance of the model was compared against the CheckMate 274 risk classification as a reference, which is used for determining the indication of adjuvant nivolumab therapy.
Results: The final model incorporated eight variables. In the validation set, it outperformed the CheckMate 274 risk classification with superior time-dependent area under the curves (5-year: 0.81 vs. 0.67) and was well-calibrated. Furthermore, our model reclassified 27.8% of patients categorized as high-risk by the CheckMate 274 risk classification into the good prognosis group.
Conclusions: We developed and validated a prognostic model for patients with bladder cancer who underwent RC. This model will be beneficial in identifying patients with poor prognosis and those who are potential candidates for clinical trials of adjuvant therapy.
(© 2024 The Japanese Urological Association.)
Databáze: MEDLINE
Externí odkaz: