Development and Validation of a Nomogram for Predicting Postoperative Recurrence-Free Survival in Patients With Nonmetastatic Pathological T3a Stage Renal Cell Carcinoma

被引:0
作者
Li, Xintao [1 ,2 ,3 ]
Huang, Qingbo [3 ]
Gu, Liangyou [3 ]
Wu, Shengpan [3 ]
Li, Jianye [1 ]
Zhang, Xu [3 ]
Yang, Minghui [2 ]
机构
[1] Air Force Med Univ, Air Force Med Ctr, Dept Urol, PLA, Beijing, Peoples R China
[2] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 6, Dept Tradit Chinese Med, Beijing, Peoples R China
[3] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 3, Dept Urol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Nephrectomy; Risk stratification; Prognostic nomogram; SINUS FAT; CAPSULAR INVASION; CLEAR-CELL; PARTIAL NEPHRECTOMY; TUMOR NECROSIS; INFILTRATION; MULTICENTER; OUTCOMES; SYSTEM; SIZE;
D O I
10.1016/j.clgc.2024.102196
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
We developed a nomogram to predict recurrence-free survival in non-metastatic pT3a renal cell carcinoma (RCC) patients after nephrectomy. Utilizing data from 668 patients, our nomogram integrates tumor size, ISUP grade, necrosis, capsular invasion, and T3a invasion patterns. It demonstrates good predictive accuracy and clinical utility, aiding in postoperative management decisions for RCC patients. Background: To establish a nomogram predicting postoperative recurrence-free survival (RFS) in patients with nonmetastatic renal cell carcinoma (RCC) of pathological T3a (pT3a) stage undergoing nephrectomy. Materials and Methods: A retrospective review included 668 patients with pT3a RCC between 2008 and 2019, randomly divided into training and validation groups (7:3 ratio). Cox regression analysis established the RFS-predicting nomogram in the training group. Nomogram performance was assessed using Harrell's concordance index (C-index), time-dependent receiver operating characteristic curve, decision curve analysis, and Kaplan-Meier survival analysis. Results: Of the 668 patients with pT3a RCC, 167 patients experienced local recurrence or distant metastasis. Using multivariable Cox regression analysis, tumor size, ISUP grade, necrosis, capsular invasion, pT3a invasion pattern were identified as the significant predictors for RFS to establish the nomogram. The C-index of the nomogram was 0.753 (95% CI, 0.7100.796) and 0.762 (95% CI, 0.701-0.822) for the training and validating group, respectively. The areas under the 1-year, 3-year and 5-year RFS receiver operating characteristic curves were 0.814, 0.769 and 0.768, respectively. Decision curve analysis showed the optimal application of the model in clinical decision-making. Patients with low risk T3a RCC have better RFS than those with high risk T3a RCC. Conclusion: Tumor size, ISUP grade, necrosis, capsular invasion and T3a invasion patterns were independent risk factors for worse RFS in patients with nonmetastatic pT3a RCC. The current nomogram could effectively predict the RFS of patients with nonmetastatic pT3a RCC.
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页数:10
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