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Development and validation of clinical prediction model for post-treatment recurrence in high-risk non-muscle invasive bladder cancer after BCG intravesical instillation
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Haitao WANG1, Weiming LUO1, Jian CHEN1, Jian ZHANG1, Qiang RAN1, Jing XU1, Junhao JIN1, Yangkun AO1, Yapeng WANG1, Junying ZHANG2, Qiubo XIE3, Weihua LAN1, Qiuli LIU1
Journal of Army Medical University | 2025, 47(9) : 959 - 968
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Journal of Army Medical University | 2025, 47(9): 959-968
• Clinical Medicine •
Development and validation of clinical prediction model for post-treatment recurrence in high-risk non-muscle invasive bladder cancer after BCG intravesical instillation
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Haitao WANG1, Weiming LUO1, Jian CHEN1, Jian ZHANG1, Qiang RAN1, Jing XU1, Junhao JIN1, Yangkun AO1, Yapeng WANG1, Junying ZHANG2, Qiubo XIE3, Weihua LAN1, Qiuli LIU1
Affiliations
  • 1Department of Urology,Army Medical Center of PLA/Daping Hospital of Third Military Medical University,Chongqing
  • 2Chongqing Medical and Pharmaceutical College,Chongqing
  • 3Department of Urology,General Hospital of Central Theater Command,Wuhan,Hubei,China
Published: 2025-05-15 doi: 10.16016/j.2097-0927.202501061
Outline
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Objective‍

To investigate the factors influencing the efficacy of intravesical Bacille Calmette-Guérin (BCG) instillation after transurethral resection of bladder tumor (TURBT) in patients with intermediate- and high-risk non-muscle invasive bladder cancer (NMIBC), and to construct a prediction model for recurrence after BCG treatment.

Methods‍

A retrospective cohort study was conducted on the subjected patients diagnosed with intermediate- and high-risk NMIBC undergoing TURBT followed by standard BCG instillation. The 110 patients treated in Department of Urology of Army Medical Center of PLA from January 2018 to December 2023 were assigned into a training set, while the 52 patients treated at Department of Urology of General Hospital of Central Theater Command from January 2015 to December 2020 were into an external validation set. A total of 17 variables were included and analyzed. Univariate and multivariate Cox regression analyses were performed to identify factors associated with recurrence after BCG instillation, and nomograms were plotted to predict 1-year, 3-year, and 5-year recurrence-free survival (RFS). Calibration curve, decision curve analysis (DCA), and receiver operating characteristic (ROC) curve analysis were conducted for internal and external validation to evaluate the predictive performance and clinical utility of the model.

Results‍

In the training set, 26 patients (23.64%) experienced recurrence during the follow-up period, with a median RFS of 32.00 (18.00~50.50) months. Univariate Cox regression analysis suggested that platelet count, eosinophil to lymphocyte ratio (ELR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune inflammation (SII) index, and neutrophil-monocyte to lymphocyte ratio (NMLR), pathological T1 stage (pT1) tumor and hemoglobin, albumin, lymphocyte, and platelet (HALP) score were potential factors influencing recurrence after BCG instillation. Multivariate Cox regression analysis identified high HALP score (HR=0.185, 95%CI: 0.046~0.736, P=0.017) as an independent protective factor, while high ELR (HR=3.599, 95%CI: 1.505~8.608, P=0.004) and pT1 stage (HR=3.240, 95%CI: 1.191~8.818, P=0.021) were independent risk factors for recurrence. Based on this, a nomogram prediction model was constructed. The calibration curves demonstrated good agreement between predicted and actual 1-, 3-, and 5-year recurrence risks. Decision curve analysis indicated clinical utility across a wide threshold probability range. In the training set, the model showed strong predictive performance for 1- (AUC=0.842), 3- (AUC=0.847), and 5-year (AUC=0.887) recurrence risks, which was further validated in the external cohort.

Conclusion‍

Higher HALP score prior to BCG instillation therapy is a protective factor against tumor recurrence, while higher ELR and pT1 stage are risk factors. Our nomogram prediction model based on HALP score, ELR and pathological T stage, can identify individuals at high risk of recurrence after BCG instillation therapy.

non-muscle invasive bladder cancer  /  Bacille Calmette-Guérin vaccine  /  recurrence  /  prediction model
王海涛, 罗伟铭, 陈剑, 张健, 冉强, 徐静, 金俊豪, 敖杨坤, 王亚鹏, 张俊英, 谢秋波, 兰卫华, 刘秋礼. 中高危非肌层浸润性膀胱癌卡介苗灌注治疗后复发的临床预测模型构建与验证. 陆军军医大学学报, 2025 , 47 (9) : 959 -968 . DOI: 10.16016/j.2097-0927.202501061
Haitao WANG, Weiming LUO, Jian CHEN, Jian ZHANG, Qiang RAN, Jing XU, Junhao JIN, Yangkun AO, Yapeng WANG, Junying ZHANG, Qiubo XIE, Weihua LAN, Qiuli LIU. Development and validation of clinical prediction model for post-treatment recurrence in high-risk non-muscle invasive bladder cancer after BCG intravesical instillation[J]. Journal of Army Medical University, 2025 , 47 (9) : 959 -968 . DOI: 10.16016/j.2097-0927.202501061
Year 2025 volume 47 Issue 9
23
10
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Article Info
doi: 10.16016/j.2097-0927.202501061
  • Receive Date:2025-01-22
  • Online Date:2026-10-28
  • Published:2025-05-15
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History
  • Received:2025-01-22
  • Revised:2025-04-03
Affiliations
    1Department of Urology,Army Medical Center of PLA/Daping Hospital of Third Military Medical University,Chongqing
    2Chongqing Medical and Pharmaceutical College,Chongqing
    3Department of Urology,General Hospital of Central Theater Command,Wuhan,Hubei,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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