Stassen Robert C, Maas Carolien C H M, Leong Stanley P, Kashani-Sabet Mohammed, White Richard L, Pockaj Barbara A, Zager Jonathan S, Schneebaum Schlomo, Vetto John T, Avisar Eli, Harrison Howard J, O'Donoghue Cristina, Kosiorek Heidi, van Akkooi Alexander C J, Verhoef Cornelis, van Klaveren David, Grünhagen Dirk J, Olofsson Bagge Roger
Department of Surgical Oncology, Erasmus Medical Centre Cancer Institute, Rotterdam, The Netherlands.
Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Br J Surg. 2025 Mar 28;112(4). doi: 10.1093/bjs/znaf037.
Recently, a model to predict 5-year recurrence-free survival (RFS) and melanoma-specific survival (MSS) after sentinel lymph node biopsy (SLNB) was published. The aim of this study was to validate that model in a large independent international cohort.
The database of the Sentinel Lymph Node Working Group (SLNWG) was analysed for patients with malignant melanoma who underwent SLNB. Patients with clinical stage III melanoma, a history of other malignancies, or receiving concomitant systemic therapies during follow-up were excluded. The model's predictive performance was evaluated using discrimination and calibration metrics in the eligible cohort. Decision curve analysis was performed to assess the clinical value of the model.
The external validation cohort consisted of 6174 patients of the SLNWG from the USA, Europe, and Israel. A positive sentinel node was found in 788 patients (12.8%). The area under the time-dependent receiver operating characteristic (ROC) curve of the external validation was 0.76 (95% c.i. 0.74 to 0.77) for RFS and 0.79 (95% c.i. 0.76 to 0.81) for MSS. The model was well calibrated, as the observed 5-year survival rates aligned closely with the predicted survival rates (calibration slope of 0.98 for RFS and calibration slope of 0.99 for MSS). The model provided a net benefit versus the 'treat all' and 'treat none' strategies at the predetermined probability threshold for recurrence of 45%.
The model demonstrated good performance in a large heterogeneous independent cohort, emphasizing its robustness. Decision curve analysis revealed a clear net benefit of the model over a treat all strategy, highlighting its potential for clinical use.
最近,一个用于预测前哨淋巴结活检(SLNB)后5年无复发生存率(RFS)和黑色素瘤特异性生存率(MSS)的模型已发表。本研究的目的是在一个大型独立国际队列中验证该模型。
分析前哨淋巴结工作组(SLNWG)数据库中接受SLNB的恶性黑色素瘤患者。排除临床III期黑色素瘤患者、有其他恶性肿瘤病史的患者或在随访期间接受同步全身治疗的患者。在符合条件的队列中,使用鉴别和校准指标评估该模型的预测性能。进行决策曲线分析以评估该模型的临床价值。
外部验证队列由来自美国、欧洲和以色列的6174名SLNWG患者组成。788名患者(12.8%)发现前哨淋巴结阳性。外部验证的时间依赖性受试者工作特征(ROC)曲线下面积,RFS为0.76(95%可信区间0.74至0.77),MSS为0.79(95%可信区间0.76至0.81)。该模型校准良好,因为观察到的5年生存率与预测生存率密切相符(RFS校准斜率为0.98,MSS校准斜率为0.99)。在45%的预定复发概率阈值下,该模型相对于“全部治疗”和“不治疗”策略提供了净效益。
该模型在一个大型异质性独立队列中表现良好,强调了其稳健性。决策曲线分析显示该模型相对于全部治疗策略有明显的净效益,突出了其临床应用潜力。