Development and validation of a model to predict the outcomes of radical cystectomy in patients with bladder cancer
Corresponding Author
Wataru Fukuokaya
Department of Urology, Jikei University Kashiwa Hospital, Chiba, Japan
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Correspondence
Wataru Fukuokaya M.D., Department of Urology, The Jikei University School of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan.
Email: [email protected]
Contribution: Conceptualization, Investigation, Writing - original draft, Methodology, Formal analysis, Data curation
Search for more papers by this authorJun Miki
Department of Urology, Jikei University Kashiwa Hospital, Chiba, Japan
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Contribution: Supervision, Data curation, Conceptualization, Writing - original draft
Search for more papers by this authorRikiya Taoka
Department of Urology, Faculty of Medicine, Kagawa University, Takamatsu, Kagawa, Japan
Contribution: Conceptualization, Writing - original draft, Data curation, Supervision
Search for more papers by this authorRyoichi Saito
Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
Contribution: Conceptualization, Writing - original draft, Data curation, Supervision
Search for more papers by this authorYoshiyuki Matsui
Department of Urology, National Cancer Center Hospital, Tokyo, Japan
Contribution: Methodology, Writing - original draft, Data curation, Supervision
Search for more papers by this authorShingo Hatakeyama
Department of Urology, Hirosaki University Graduate School of Medicine, Aomori, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTakashi Kawahara
Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorAyumu Matsuda
Department of Urology, National Cancer Center Hospital, Tokyo, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTaketo Kawai
Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Department of Urology, Teikyo University School of Medicine, Tokyo, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorMinoru Kato
Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTomokazu Sazuka
Department of Urology, Graduate School of Medicine, Chiba University, Chiba, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTakeshi Sano
Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorFumihiko Urabe
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Department of Urology, Jikei University Hospital, Tokyo, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorSoki Kashima
Department of Urology, Akita University Graduate School of Medicine, Akita, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorHirohito Naito
Department of Urology, Kurashiki Central Hospital, Okayama, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorYoji Murakami
Department of Urology, Graduate School of Life Science, Kumamoto University, Kumamoto, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorNaotaka Nishiyama
Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan
Contribution: Writing - original draft, Methodology, Supervision, Data curation
Search for more papers by this authorHiroyuki Nishiyama
Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
Contribution: Writing - original draft, Methodology, Data curation, Supervision
Search for more papers by this authorHiroshi Kitamura
Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan
Contribution: Writing - original draft, Methodology, Data curation, Supervision
Search for more papers by this authorTakahiro Kimura
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Contribution: Writing - original draft, Methodology, Data curation, Supervision
Search for more papers by this authorCorresponding Author
Wataru Fukuokaya
Department of Urology, Jikei University Kashiwa Hospital, Chiba, Japan
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Correspondence
Wataru Fukuokaya M.D., Department of Urology, The Jikei University School of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo 105-8461, Japan.
Email: [email protected]
Contribution: Conceptualization, Investigation, Writing - original draft, Methodology, Formal analysis, Data curation
Search for more papers by this authorJun Miki
Department of Urology, Jikei University Kashiwa Hospital, Chiba, Japan
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Contribution: Supervision, Data curation, Conceptualization, Writing - original draft
Search for more papers by this authorRikiya Taoka
Department of Urology, Faculty of Medicine, Kagawa University, Takamatsu, Kagawa, Japan
Contribution: Conceptualization, Writing - original draft, Data curation, Supervision
Search for more papers by this authorRyoichi Saito
Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
Contribution: Conceptualization, Writing - original draft, Data curation, Supervision
Search for more papers by this authorYoshiyuki Matsui
Department of Urology, National Cancer Center Hospital, Tokyo, Japan
Contribution: Methodology, Writing - original draft, Data curation, Supervision
Search for more papers by this authorShingo Hatakeyama
Department of Urology, Hirosaki University Graduate School of Medicine, Aomori, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTakashi Kawahara
Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorAyumu Matsuda
Department of Urology, National Cancer Center Hospital, Tokyo, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTaketo Kawai
Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Department of Urology, Teikyo University School of Medicine, Tokyo, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorMinoru Kato
Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTomokazu Sazuka
Department of Urology, Graduate School of Medicine, Chiba University, Chiba, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorTakeshi Sano
Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorFumihiko Urabe
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Department of Urology, Jikei University Hospital, Tokyo, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorSoki Kashima
Department of Urology, Akita University Graduate School of Medicine, Akita, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorHirohito Naito
Department of Urology, Kurashiki Central Hospital, Okayama, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorYoji Murakami
Department of Urology, Graduate School of Life Science, Kumamoto University, Kumamoto, Japan
Contribution: Writing - review & editing, Data curation, Supervision
Search for more papers by this authorNaotaka Nishiyama
Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan
Contribution: Writing - original draft, Methodology, Supervision, Data curation
Search for more papers by this authorHiroyuki Nishiyama
Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
Contribution: Writing - original draft, Methodology, Data curation, Supervision
Search for more papers by this authorHiroshi Kitamura
Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan
Contribution: Writing - original draft, Methodology, Data curation, Supervision
Search for more papers by this authorTakahiro Kimura
Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
Contribution: Writing - original draft, Methodology, Data curation, Supervision
Search for more papers by this authorJun Miki, Rikiya Taoka, Ryoichi Saito contributed equally.
Abstract
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.
CONFLICT OF INTEREST STATEMENT
Wataru Fukuokaya certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (e.g., employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents led, received, or pending), are the following: All authors declare no conflicts of interest associated with this manuscript. Hiroyuki Nishiyama, Takahiro Kimura, and Shingo Hatakeyama are the Editorial Board members of International Journal of Urology and co-authors of this article. To minimize bias, they were excluded from all editorial decision-making related to the acceptance of this article for publication.
Supporting Information
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REFERENCES
- 1Stein JP, Lieskovsky G, Cote R, Groshen S, Feng AC, Boyd S, et al. Radical cystectomy in the treatment of invasive bladder cancer: long-term results in 1054 patients. J Clin Oncol. 2001; 19: 666–675.
- 2Karakiewicz PI, Shariat SF, Palapattu GS, Gilad AE, Lotan Y, Rogers CG, et al. Nomogram for predicting disease recurrence after radical cystectomy for transitional cell carcinoma of the bladder. J Urol. 2006; 176: 1354–1361.
- 3Yang Z, Bai Y, Liu M, Hu X, Han P. Development and validation of a prognostic nomogram for predicting cancer-specific survival after radical cystectomy in patients with bladder cancer: a population-based study. Cancer Med. 2020; 9: 9303–9314.
- 4Todenhöfer T, Renninger M, Schwentner C, Stenzl A, Gakis G. A new prognostic model for cancer-specific survival after radical cystectomy including pretreatment thrombocytosis and standard pathological risk factors. BJU Int. 2012; 110: E533–E540.
- 5Eisenberg MS, Boorjian SA, Cheville JC, Thompson RH, Thapa P, Kaushik D, et al. The SPARC score: a multifactorial outcome prediction model for patients undergoing radical cystectomy for bladder cancer. J Urol. 2013; 190: 2005–2010.
- 6Bajorin DF, Witjes JA, Gschwend JE, Schenker M, Valderrama BP, Tomita Y, et al. Adjuvant nivolumab versus placebo in muscle-invasive urothelial carcinoma. N Engl J Med. 2021; 384: 2102–2114.
- 7Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, et al. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024; 385:e078378.
- 8Takahashi A, Tsukamoto T, Tobisu K-I, Shinohara N, Sato K, Tomita Y, et al. Radical cystectomy for invasive bladder cancer: results of multi-institutional pooled analysis. Jpn J Clin Oncol. 2004; 34: 14–19.
- 9Zhang L, Wu B, Zha Z, Qu W, Zhao H, Yuan J. Clinicopathological factors in bladder cancer for cancer-specific survival outcomes following radical cystectomy: a systematic review and meta-analysis. BMC Cancer. 2019; 19: 716.
- 10Ofner H, Laukhtina E, Hassler MR, Shariat SF. Blood-based biomarkers as prognostic factors of recurrent disease after radical cystectomy: a systematic review and meta-analysis. Int J Mol Sci. 2023; 24: 24.
10.3390/ijms24065846 Google Scholar
- 11Stekhoven DJ, Bühlmann P. MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics. 2012; 28: 112–118.
- 12Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009; 28: 3083–3107.
- 13Tibshirani R. The lasso method for variable selection in the cox model. Stat Med. 1997; 16: 385–395.
10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3 CAS PubMed Web of Science® Google Scholar
- 14Harrell FE Jr, Califf RM, Pryor DB, Lee KL, Rosati RA. Evaluating the yield of medical tests. JAMA. 1982; 247: 2543–2546.
- 15Akaike H. A new look at the statistical model identification. IEEE Trans Autom Control. 1974; 19: 716–723.
- 16Jackson CH. Flexsurv: a platform for parametric survival modeling in R. J Stat Softw. 2016; 70:i08.
- 17Heagerty PJ, Lumley T, Pepe MS. Time-dependent ROC curves for censored survival data and a diagnostic marker. Biometrics. 2000; 56: 337–344.
- 18Amin MB, Edge S, Greene FL, Schilsky RL, Byrd DR, Gaspar LE, et al. AJCC cancer staging manual. 8th ed. Cham, Switzerland: Springer International Publishing; 2016.
- 19Bellmunt J, Hussain M, Gschwend JE, Albers P, Oudard S, Castellano D, et al. Adjuvant atezolizumab versus observation in muscle-invasive urothelial carcinoma (IMvigor010): a multicentre, open-label, randomised, phase 3 trial. Lancet Oncol. 2021; 22: 525–537.
- 20Jackson-Spence F, Toms C, O'Mahony LF, Choy J, Flanders L, Szabados B, et al. IMvigor011: a study of adjuvant atezolizumab in patients with high-risk MIBC who are ctDNA+ post-surgery. Future Oncol. 2023; 19: 509–515.
- 21Welty CJ, Sanford TH, Wright JL, Carroll PR, Cooperberg MR, Meng MV, et al. The cancer of the bladder risk assessment (COBRA) score: estimating mortality after radical cystectomy. Cancer. 2017; 123: 4574–4582.
- 22Shariat SF, Karakiewicz PI, Palapattu GS, Amiel GE, Lotan Y, Rogers CG, et al. Nomograms provide improved accuracy for predicting survival after radical cystectomy. Clin Cancer Res. 2006; 12: 6663–6676.
- 23Mari A, Campi R, Tellini R, Gandaglia G, Albisinni S, Abufaraj M, et al. Patterns and predictors of recurrence after open radical cystectomy for bladder cancer: a comprehensive review of the literature. World J Urol. 2018; 36: 157–170.