The Otorhinolaryngology Hospital, First Affiliated Hospital of Sun Yat-sen University, No.58 Zhongshan Er Road, Guangzhou, Guangzhou, 510080, P.R. China.
Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
BMC Cancer. 2020 Oct 14;20(1):993. doi: 10.1186/s12885-020-07435-7.
Increasing evidence indicates that the pathology and the modified Kadish system have some influence on the prognosis of esthesioneuroblastoma (ENB). However, an accurate system to combine pathology with a modified Kadish system has not been established.
This study aimed to set up and evaluate a model to predict overall survival (OS) accurately in ENB, including clinical characteristics, treatment and pathological variables. We screened the information of patients with ENB between January 1, 1976, and December 30, 2016 from the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) program as a training cohort. The validation cohort consisted of patients with ENB at Sun Yat-sen University Cancer Center and The First Affiliated Hospital of Sun Yat-sen University in the same period, and 87 patients were included. The Pearson's chi-squared test was used to assess significance of clinicopathological and demographic characteristics. We used the Cox proportional hazards model to examine univariate and multivariate analyses. The model coefficients were used to calculate the Hazard ratios (HR) with 95% confidence intervals (CI). Prognostic factors with a p-value < 0.05 in multivariate analysis were included in the nomogram. The concordance index (c-index) and calibration curve were used to evaluate the predictive power of the nomogram.
The c-index of training cohort and validation cohort are 0.737 (95% CI, 0.709 to 0.765) and 0.791 (95% CI, 0.767 to 0.815) respectively. The calibration curves revealed a good agreement between the nomogram prediction and actual observation regarding the probability of 3-year and 5-year survival. We used a nomogram to calculate the 3-year and 5-year growth probability and stratified patients into three risk groups.
The nomogram provided the risk group information and identified mortality risk and can serve as a reference for designing a reasonable follow-up plan.
越来越多的证据表明,病理和改良 Kadish 系统对嗅神经母细胞瘤(ENB)的预后有一定影响。然而,尚未建立一种将病理与改良 Kadish 系统相结合的准确系统。
本研究旨在建立并评估一种准确预测 ENB 总生存率(OS)的模型,包括临床特征、治疗和病理变量。我们从国家癌症研究所监测、流行病学和最终结果(SEER)计划中筛选了 1976 年 1 月 1 日至 2016 年 12 月 30 日期间的 ENB 患者信息作为训练队列。验证队列由中山大学肿瘤防治中心和中山大学第一附属医院同期的 ENB 患者组成,共纳入 87 例患者。采用 Pearson's 卡方检验评估临床病理和人口统计学特征的显著性。采用 Cox 比例风险模型进行单因素和多因素分析。使用模型系数计算风险比(HR)及其 95%置信区间(CI)。多因素分析中 p 值<0.05 的预后因素被纳入列线图。采用一致性指数(c-index)和校准曲线评估列线图的预测能力。
训练队列和验证队列的 c-index 分别为 0.737(95%CI,0.709 至 0.765)和 0.791(95%CI,0.767 至 0.815)。校准曲线显示,列线图预测的 3 年和 5 年生存率与实际观察结果之间具有良好的一致性。我们使用列线图计算 3 年和 5 年的生长概率,并将患者分为三个风险组。
该列线图提供了风险组信息,并确定了死亡率风险,可作为制定合理随访计划的参考。