The 2002 AJCC TNM classification is a better predictor of primary small cell esophageal carcinoma outcome than the VALSG staging system

作     者：Sheng-Ye Wang Wei-Ming Mao Xiang-Hui Du Ya-Ping Xu Su-Zhan Zhang 

作者机构：Department of Radiation Oncology Zhejiang Cancer Hospital Department of Oncology Τhe Second Affiliated Hospital Zhejiang University 

出 版 物：《Chinese Journal of Cancer》 (Chinese Journal of Cancer)

年 卷 期：2013年第32卷第6期

页      面：342-352页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by a grant from the Zhejiang Provincial Natural Science Foundation (No. Y2080749) 

主　　题：系统预测 TNM 食管癌 细胞 原发性 治疗方案 分类 病理特征 

摘      要：Small cell carcinoma of the esophagus (SCCE) is a rare and aggressive malignant tumor with a poor prognosis. The optimal disease staging system and treatment approaches have not yet been defined. This study aimed to evaluate the prediction of different staging systems for prognosis and treatment options of SCCE. We retrospectively accessed the clinicopathologic characteristics, treatment strategy, and prognosis of 76 patients diagnosed with primary SCCE between 2001 and 2011. The 1-, 2-, 3-, and 5-year overall survival rates were 58%, 31%, 19%, and 13%, respectively. Univariate analysis showed that the 2002 American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) classification (P=0.002), Veterans Administration Lung Study Group (VALSG) stage (P=0.001), predisposing factors (P0.001), T category (P=0.023), and M category (P0.001) were prognostic factors for overall survival. Multivariate analysis showed that the 2002 AJCC TNM stage (P0.001) was the only independent prognostic factor for survival. The value of the area under the receiver operator characteristic (ROC) curve (AUC) of the 2002 AJCC TNM staging system was larger than that of VALSG staging system with regard to predicting overall survival (0.774 vs. 0.620). None of the single treatment regimens showed any benefit for survival by Cox regression analysis. Thus, the 2002 AJCC TMN staging system improved the prediction of SCCE prognosis; however, the optimal treatment regimen for SCCE remains unclear.