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Lymph nodes ratio based nomogram predicts survival of resectable gastric cancer regardless of the number of examined lymph nodes

机译:基于淋巴结比率的列线图可预测可切除胃癌的存活率,而与所检查的淋巴结数目无关

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摘要

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.
机译:根据转移性淋巴结比率(mLNR),特别是检查淋巴结总数(TLN)少于15的患者,开发诺模图以预测胃癌患者的预后。该数据库包括中山大学癌症中心(SYSUCC)的2205例接受根治性切除术的患者。于2008年12月31日之前接受根治性切除的可切除胃癌(RGC)患者被指定为训练集(n = 1,470),并选择2009年1月1日至2012年12月31日之间的患者作为内部验证集(n = 735)。 。来自江西省江西省癌症医院(JXCH)的独立数据集(n = 602)和监测,流行病学和最终结果(SEER)的数据集(n = 3,317)也分别进行了其他外部验证。数据库。独立危险因素通过多元Cox回归确定。在SYSUCC集中,分别构造了TNM(肿瘤淋巴结转移)和基于TRM的(肿瘤正淋巴结转移率)列线图。基于TNM的列线图显示出比AJCC-TNM分期系统更好的辨别力(C指数:0.73对0.69,p <0.01)。当mLNR包括在列线图中时,C指数增加到0.76。此外,基于TRM的诺模图中的C指数在TLN≥16(C指数:0.77)和TLN≤15(C指数:0.75)之间相似。内部和外部验证进一步确定了这种区别。我们开发并验证了一种新颖的基于TRM的诺模图,该图可以更准确地预测接受根治性切除术的胃癌患者的生存率,而与所检查的淋巴结数目无关。

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