Zhou Shengnan, Jiang Shitao, Chen Weijie, Yin Haixin, Dong Liangbo, Zhao Hao, Han Shaoqi, He Xiaodong
General Surgery Department, Peking Union Medical College Hospital, China Academy of Medical Science & Peking Union Medical College, Beijing, China.
Liver Surgery Department, Peking Union Medical College Hospital, China Academy of Medical Science & Peking Union Medical College, Beijing, China.
Front Oncol. 2021 Jul 19;11:654439. doi: 10.3389/fonc.2021.654439. eCollection 2021.
For this study, we explored the prognostic profiles of biliary neuroendocrine neoplasms (NENs) patients and identified factors related to prognosis. Further, we developed and validated an effective nomogram to predict the overall survival (OS) of individual patients with biliary NENs.
We included a total of 446 biliary NENs patients from the SEER database. We used Kaplan-Meier curves to determine survival time. We employed univariate and multivariate Cox analyses to estimate hazard ratios to identify prognostic factors. We constructed a predictive nomogram based on the results of the multivariate analyses. In addition, we included 28 biliary NENs cases from our center as an external validation cohort.
The median survival time of biliary NENs from the SEER database was 31 months, and the value of gallbladder NENs (23 months) was significantly shorter than that of the bile duct (45 months) and ampulla of Vater (33.5 months, p=0.023). Multivariate Cox analyses indicated that age, tumor size, pathological classification, SEER stage, and surgery were independent variables associated with survival. The constructed prognostic nomogram demonstrated good calibration and discrimination C-index values of 0.783 and 0.795 in the training and validation dataset, respectively.
Age, tumor size, pathological classification, SEER stage, and surgery were predictors for the survival of biliary NENs. We developed a nomogram that could determine the 3-year and 5-year OS rates. Through validation of our central database, the novel nomogram is a useful tool for clinicians in estimating individual survival among biliary NENs patients.
在本研究中,我们探讨了胆道神经内分泌肿瘤(NENs)患者的预后特征,并确定了与预后相关的因素。此外,我们开发并验证了一种有效的列线图,以预测胆道NENs个体患者的总生存期(OS)。
我们纳入了来自监测、流行病学和最终结果(SEER)数据库的总共446例胆道NENs患者。我们使用Kaplan-Meier曲线来确定生存时间。我们采用单因素和多因素Cox分析来估计风险比,以确定预后因素。我们根据多因素分析的结果构建了一个预测列线图。此外,我们纳入了来自我们中心的28例胆道NENs病例作为外部验证队列。
SEER数据库中胆道NENs的中位生存时间为31个月,胆囊NENs(23个月)的值明显短于胆管(45个月)和Vater壶腹(33.5个月,p=0.023)。多因素Cox分析表明,年龄、肿瘤大小、病理分类、SEER分期和手术是与生存相关的独立变量。构建的预后列线图在训练和验证数据集中分别显示出良好的校准和区分度,C指数值分别为0.783和0.795。
年龄、肿瘤大小、病理分类、SEER分期和手术是胆道NENs生存的预测因素。我们开发了一种列线图,可以确定3年和5年的总生存率。通过对我们中心数据库的验证,这种新型列线图是临床医生估计胆道NENs患者个体生存情况的有用工具。