Department of Gastroenterology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231157923. doi: 10.1177/15330338231157923.
To investigate the role of lymph node ratio (LNR) in young patients with gastric cancer (GC) and develop nomograms to predict the survival of young GC patients.
This retrospective study enrolled stage I-III GC patients before the age of 40 between 2010 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards models were used to determine the prognosticators and create the nomograms incorporating LNR to predict overall survival (OS) and cancer-specific survival (CSS). The discriminating superiority of the nomograms was examined using calibration curves, C-index, receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and integrated discrimination improvement (IDI) by comparing with the TNM staging. The performance of the nomograms for risk stratification was analyzed by the Kaplan-Meier method.
Based on the significant prognosticators identified in multivariate survival analysis, the nomograms were established and showed LNR as the third strongest predictor. The C-index of the nomograms for OS and CSS were higher than those of the TNM staging (OS: 0.773 vs 0.665; CSS: 0.769 vs 0.666). The ROC curves for the nomograms to predict survival exhibited superior sensitivity and specificity when compared with the TNM staging. The calibration plots, DCA curves, and IDI values of the nomograms also demonstrated adequate fit and ideal net benefit in prediction and clinical utility. The Kaplan-Meier analysis observed remarkable differences in patients divided into different risk subgroups (.001).
These results found the clinical outperformance of the LNR-based nomograms for predicting survival in young stage I-III GC patients. Our nomograms may improve accuracy of survival risk prediction and facilitate individualized care of young stage I-III GC patients.
研究淋巴结比率(LNR)在年轻胃癌(GC)患者中的作用,并建立预测年轻 GC 患者生存的列线图。
本回顾性研究纳入了 2010 年至 2016 年间年龄在 40 岁以下的 SEER 数据库中 I-III 期 GC 患者。采用 Cox 比例风险模型确定预后因素,并建立包含 LNR 的列线图,以预测总生存期(OS)和癌症特异性生存期(CSS)。通过校准曲线、C 指数、受试者工作特征(ROC)曲线、决策曲线分析(DCA)和综合判别改善(IDI)与 TNM 分期比较,评估列线图的判别优势。通过 Kaplan-Meier 方法分析列线图的风险分层性能。
基于多变量生存分析确定的显著预后因素,建立了列线图,结果显示 LNR 是第三大预测因素。列线图预测 OS 和 CSS 的 C 指数高于 TNM 分期(OS:0.773 比 0.665;CSS:0.769 比 0.666)。列线图预测生存的 ROC 曲线与 TNM 分期相比具有更高的敏感性和特异性。校准图、DCA 曲线和 IDI 值也表明列线图在预测和临床应用中具有良好的拟合度和理想的净获益。Kaplan-Meier 分析观察到不同风险亚组的患者之间存在显著差异(P<0.001)。
这些结果发现基于 LNR 的列线图在预测年轻 I-III 期 GC 患者生存方面具有临床优势。我们的列线图可能提高生存风险预测的准确性,并为年轻 I-III 期 GC 患者的个体化治疗提供帮助。