The Central Hospital of Xiaogan, Xiaogan, Hubei, China.
The First Affiliated Hospital Of Nanchang University, Nanchang, Jiangxi, China.
Cancer Med. 2020 Nov;9(22):8562-8570. doi: 10.1002/cam4.3318. Epub 2020 Sep 17.
The condition of tumor recurrence and overall death can be worried in the progress of nonmetastatic malignant melanoma (NMMM). Our goal was to construct and validate a prognostic nomogram from a large population database, which is vital for physicians to predict the 3- and 5-year overall survival (OS) rates of patients with NMMM.
According to the Surveillance, Epidemiology, and End Results (SEER) program, patients were collected and randomly assigned into the training and validation cohorts. Several independent risk factors were identified based on the methods of univariable and multivariable cox hazards regression and were incorporated to develop a nomogram. The concordance index (C-index), the area under the receiver operating characteristics (AUC) curve and calibration plot were confirmed to assess predictive power of the nomogram. Decision curve analysis (DCA) was performed to measure nomogram for the clinical practice.
A total of 66192 eligible patients, randomly assigned into 70% of training (n = 46 336) and 30% of validation cohorts (n = 19 856), were selected in this study. The selected independent factors were applied to develop a nomogram, and validated indexes indicated nomogram had a good discrimination ability. The C-index for OS rates was 0.817 (95% CI: 0.811-0.823) in training cohort and 0.817 (95% CI: 0.809-0.825) in validation cohort, respectively. The AUCs of 3- and 5-year OS rates were more than 0.79, and the calibration plots also showed a good power for the nomogram. DCA demonstrated that constructed nomogram can provide clinical net benefit.
We constructed a novel nomogram that more accurately and comprehensively predict OS with nonmetastatic malignant melanoma patients, which is vital for clinician to improve individual treatment, make reasonable clinical decisions, and set appropriate follow-up strategies.
非转移性恶性黑色素瘤(NMMM)的进展可能会引起肿瘤复发和总体死亡的担忧。我们的目标是从大型人群数据库中构建和验证一个预后列线图,这对于医生预测 NMMM 患者的 3 年和 5 年总生存率(OS)至关重要。
根据监测、流行病学和最终结果(SEER)计划,收集患者并将其随机分配到训练和验证队列中。基于单变量和多变量 cox 风险回归方法确定了几个独立的风险因素,并将其纳入到列线图的开发中。一致性指数(C 指数)、接收者操作特征(ROC)曲线下面积和校准图用于评估列线图的预测能力。决策曲线分析(DCA)用于衡量列线图在临床实践中的应用。
本研究共纳入 66192 名符合条件的患者,随机分配到 70%的训练队列(n=46336)和 30%的验证队列(n=19856)。选择的独立因素被用于开发一个列线图,验证指标表明该列线图具有良好的区分能力。OS 率的 C 指数在训练队列中为 0.817(95%可信区间:0.811-0.823),在验证队列中为 0.817(95%可信区间:0.809-0.825)。3 年和 5 年 OS 率的 AUC 均大于 0.79,校准图也显示出该列线图具有良好的预测能力。DCA 表明构建的列线图可以提供临床净效益。
我们构建了一个新的列线图,可以更准确和全面地预测非转移性恶性黑色素瘤患者的 OS,这对于临床医生改善个体化治疗、做出合理的临床决策和制定适当的随访策略至关重要。