Chen Shangxiang, Rao Huamin, Liu Jianjun, Geng Qirong, Guo Jing, Kong Pengfei, Li Shun, Liu Xuechao, Sun Xiaowei, Zhan Youqing, Xu Dazhi
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Department of Gastric and Pancreatic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Oncotarget. 2017 Jul 11;8(28):45585-45596. doi: 10.18632/oncotarget.17276.
To develop a nomogram to predict the prognosis of gastric cancer patients on the basis of metastatic lymph nodes ratio (mLNR), especially in the patients with total number of examined lymph nodes (TLN) less than 15. The nomogram was constructed based on a retrospective database that included 2,205 patients underwent curative resection in Cancer Center, Sun Yat-sen University (SYSUCC). Resectable gastric cancer (RGC) patients underwent curative resection before December 31, 2008 were assigned as the training set (n=1,470) and those between January 1, 2009 and December 31, 2012 were selected as the internal validation set (n=735). Additional external validations were also performed separately by an independent data set (n=602) from Jiangxi Provincial Cancer Hospital (JXCH) in Jiangxi, China and a data set (n=3,317) from the Surveillance, Epidemiology, and End Results (SEER) database. The Independent risk factors were identified by Multivariate Cox Regression. In the SYSUCC set, TNM (Tumor-node-metastasis) and TRM-based (Tumor-Positive Nodes Ratio-Metastasis) nomograms were constructed respectively. The TNM-based nomogram showed better discrimination than the AJCC-TNM staging system (C-index: 0.73 versus 0.69, p<0.01). When the mLNR was included in the nomogram, the C-index increased to 0.76. Furthermore, the C-index in the TRM-based nomogram was similar between TLN ≥16 (C-index: 0.77) and TLN ≤15 (C-index: 0.75). The discrimination was further ascertained by internal and external validations. We developed and validated a novel TRM-based nomogram that provided more accurate prediction of survival for gastric cancer patients who underwent curative resection, regardless of the number of examined lymph nodes.
基于转移淋巴结比率(mLNR),尤其是在检查淋巴结总数(TLN)少于15个的患者中,开发一种列线图以预测胃癌患者的预后。该列线图基于一个回顾性数据库构建,该数据库包含在中山大学肿瘤防治中心(SYSUCC)接受根治性切除的2205例患者。2008年12月31日前接受根治性切除的可切除胃癌(RGC)患者被分配为训练集(n = 1470),2009年1月1日至2012年12月31日期间的患者被选为内部验证集(n = 735)。另外,还分别通过来自中国江西的江西省肿瘤医院(JXCH)的独立数据集(n = 602)和监测、流行病学和最终结果(SEER)数据库的数据集(n = 3317)进行了外部验证。通过多变量Cox回归确定独立危险因素。在SYSUCC组中,分别构建了基于TNM(肿瘤-淋巴结-转移)和基于TRM(肿瘤-阳性淋巴结比率-转移)的列线图。基于TNM的列线图显示出比AJCC-TNM分期系统更好的区分度(C指数:0.73对0.69,p<0.01)。当mLNR纳入列线图时,C指数增加到0.76。此外,基于TRM的列线图中,TLN≥16(C指数:0.77)和TLN≤15(C指数:0.75)时的C指数相似。通过内部和外部验证进一步确定了区分度。我们开发并验证了一种基于TRM的新型列线图,该列线图能为接受根治性切除的胃癌患者提供更准确的生存预测,无论检查的淋巴结数量如何。