Predicting Recurrence and Progression in Chinese Patients With Nonmuscle-invasive Bladder Cancer Using EORTC and CUETO Scoring Models - 28/07/13
Abstract |
Objective |
To validate the European Organization for Research and Treatment of Cancer (EORTC) model and the Spanish Urological Club for Oncological Treatment (CUETO) model in Chinese patients with nonmuscle-invasive bladder cancer (NMIBC).
Materials and Methods |
A retrospective study was performed of 363 Chinese patients with NMIBC treated at our hospital from January 2003 to September 2010. Most of these patients had undergone intravesical chemotherapy after transurethral resection of the bladder tumor. The scores for recurrence and progression were calculated using the 2 models. Next, all the patients were divided into 4 risk groups according to their scores. The Kaplan-Meier method was used to estimate the probabilities of recurrence and progression according to both models. Discrimination was assessed using the concordance index.
Results |
The EORTC model successfully stratified our patients into 4 groups with statistically significant different probabilities of recurrence. For progression, only the intermediate- and high-risk groups could be reasonably distinguished using the EORTC model. The CUETO model stratified neither the recurrence nor the progression risks. The concordance index using the EORTC and CUETO model was 0.711 and 0.663 for recurrence and 0.768 and 0.741 for progression, respectively.
Conclusion |
Compared with the CUETO risk tables, the EORTC model showed more value in predicting recurrence and progression in Chinese patients with NMIBC, most of whom received intravesical chemotherapy after transurethral resection of the bladder tumor. Prospective multicenter studies should be performed of large cohorts to construct an ideal prognostic model for Chinese patients with NMIBC.
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| Tianyuan Xu and Zhaowei Zhu contributed equally to this work. |
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| Financial Disclosure: The authors declare that they have no relevant financial interests. |
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| Funding Support: This work was supported by the National Natural Science Foundation of China (grants 81072098 and 81172428), Science and Technology Commission of Shanghai Municipality (grant 12140901200), Key Project of Science and Technology Commission of Shanghai (grant SHD09411950400), and Interdisciplinary Research Foundation of Shanghai Jiaotong University (grant YG2009ZD202). |
Vol 82 - N° 2
P. 387-393 - août 2013 Retour au numéro
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