Zhang Guanglei, Zhang Yan, Chen Shu, Guo Hang, Qi Xiao, Li Baofeng, Wang Jincheng, Wang Chunguang
Department of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
J Thorac Dis. 2025 Apr 30;17(4):2206-2216. doi: 10.21037/jtd-24-1377. Epub 2025 Apr 21.
According to reports from China, esophageal cancer ranked sixth in terms of morbidity and accounted for 6.26% of all cancer cases in China. This study aimed to establish an effective prognostic nomogram for non-adjuvant therapy in patients with stage I to III esophageal cancer.
We took up cases from 2010 to 2015 from the Surveillance, Epidemiology, and End Results (SEER) database and used R language software to perform Kaplan-Meier survival curve and multivariate Cox regression analysis. Furthermore, we established the nomogram for non-adjuvant therapy patients with stage I to III esophageal cancer to predict 3- and 5-year esophageal cancer-specific survival rate. The prognostic ability of the nomogram was assessed using the C-index, area under the receiver operating characteristic (ROC) curve, and calibration chart.
The esophageal cancer-specific survival rate of cancer in the lower third of the esophagus was significantly higher than that of cancers in the upper-third of the esophagus as per the Kaplan-Meier curve. Based on the multivariate Cox regression analysis, sub variables such as advanced age, stage II and III, squamous cell carcinoma, moderately differentiated (grade II), poorly differentiated (grade III), and undifferentiated (grade IV) cancer significantly increased risk of prognosis in all patients. With a total of 150 points in the nomogram, the 3- and 5-year esophageal cancer-specific survival rates were 50% and 40% respectively. The value of C-index of this model was 0.851 and the value of the area under receiver operating curve projected 1-, 3-, and 5-year esophageal cancer-specific survival rates of 0.884, 0.874, and 0.856, respectively.
The established nomogram had good prediction ability for non-adjuvant therapy patients with stage I to III esophageal cancer.
根据中国的报告,食管癌的发病率排名第六,占中国所有癌症病例的6.26%。本研究旨在为I至III期食管癌患者建立一种有效的非辅助治疗预后列线图。
我们从监测、流行病学和最终结果(SEER)数据库中选取了2010年至2015年的病例,并使用R语言软件进行Kaplan-Meier生存曲线和多变量Cox回归分析。此外,我们为I至III期食管癌非辅助治疗患者建立了列线图,以预测3年和5年食管癌特异性生存率。使用C指数、受试者操作特征(ROC)曲线下面积和校准图评估列线图的预后能力。
根据Kaplan-Meier曲线,食管下三分之一部位癌症的食管癌特异性生存率显著高于食管上三分之一部位癌症的生存率。基于多变量Cox回归分析,年龄较大、II期和III期、鳞状细胞癌、中度分化(II级)、低分化(III级)和未分化(IV级)癌症等亚变量显著增加了所有患者的预后风险。列线图总分为150分,3年和5年食管癌特异性生存率分别为50%和40%。该模型的C指数值为0.851,受试者操作曲线下面积值预测1年、3年和5年食管癌特异性生存率分别为0.884、0.874和0.856。
所建立的列线图对I至III期食管癌非辅助治疗患者具有良好的预测能力。