研究动态
Articles below are published ahead of final publication in an issue. Please cite articles in the following format: authors, (year), title, journal, DOI.

基于SEER数据库构建不同年龄结直肠癌患者生存预测图。

Construction of the survival nomograms for colon cancer patients of different ages based on the SEER database.

发表日期:2023 Aug 28
作者: Yuzhou Yang, Peng Xu, Cheng Zhang
来源: Brain Structure & Function

摘要:

我们使用Epidemiology and End Results(SEER)数据库(1975-2019年)中的数据构建了预测早发和晚发结肠癌(COCA)患者预后的三个评分图,未进行年龄分层。然后对这些评分图的准确性进行了评估。从SEER数据库中获取了6107名COCA患者的临床数据。将患者随机分成训练集和验证集,比例为7:3。进行了能够独立影响COCA预后的因素的单变量和多变量COX分析,并构建了早发和晚发COCA的评分图。使用校准曲线、ROC曲线和C指数来确定预测准确性。使用生存分析验证了评分图辨别能力的临床应用,同时与AJCC第8版TNM分期系统进行比较。肿瘤原发部位、种族和血清癌胚抗原(CEA)水平对结肠癌预后有显著影响。种族、脑转移和CEA是预测COCA预后的独立因素。C指数、ROC和校准曲线表明,这三个评分图的准确性均较高,并且优于传统的TNM分期系统。在这三个评分图中,早发COCA评分图的预测准确性最高,其次是未按年龄分层的结肠癌评分图。我们构建了未按年龄分层、早发结肠癌和晚发结肠癌的三个评分图。这些评分图的准确性都很好,并且均优于传统的TNM分期系统。早发和晚发COCA评分图对于不同年龄COCA患者的临床管理和个体化治疗具有较大的应用价值。© 2023. 作者。
Three nomograms for predicting the outcomes of early- and late-onset colon cancer (COCA) among patients not stratified by age were constructed using data in the Epidemiology and End Results (SEER) database (1975-2019). The accuracy of the nomogram was then assessed.Clinical data of 6107 patients with COCA were obtained from the SEER database. The patients were randomly divided into training and validation cohorts in a ratio of 7:3. Univariate and multivariate COX analyses of factors that could independently impact the prognosis of COCA were performed, and the corresponding nomograms for early-onset and late-onset COCA were constructed. Calibration curves, ROC curves, and C-index were used to determine the predictive accuracy. The discriminatory ability of the nomograms to assess their clinical utility, which was compared with the TNM staging system of the 8th edition of AJCC, was verified using survival analysis.Tumor primary site, ethnicity, and serum carcinoembryonic antigen (CEA) level significantly impacted the prognosis of colon cancer. Race, brain metastasis, and CEA were independent factors for predicting COCA prognosis. C-index, ROC, and calibration curves demonstrated that the three nomograms were accurate and superior to the traditional TNM staging system. Among the three nomograms, the early-onset COCA nomogram had the highest predictive accuracy, followed by that of colon cancer not stratified by age.Three nomograms for patients not stratified by age, early-onset colon cancer, and late-onset colon cancer were constructed. The accuracies of the nomograms were good and were all superior to the conventional TNM staging system. The early- and late-onset COCA nomograms are useful for clinical management and individualized treatment of COCA patients at different ages.© 2023. The Author(s).