Wang Zi-Xian, Qiu Miao-Zhen, Jiang Yu-Ming, Zhou Zhi-Wei, Li Guo-Xin, Xu Rui-Hua
Department of Medical Oncology, Sun Yat-Sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dong Feng Road East, Guangzhou, 510060, China.
Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
J Cancer. 2017 Mar 12;8(6):950-958. doi: 10.7150/jca.17370. eCollection 2017.
Previous studies addressing the optimal nodal staging system in patients with resected gastric cancer have shown inconsistent results, and the optimal system for development of prognostic nomograms remains unclear. In this study, we compared prognostic nomograms based on the metastatic lymph node (MLN) count, lymph node ratio (LNR), and log odds of metastatic lymph nodes (LODDS) to predict the 5-year overall survival in patients with resected gastric cancer. We analysed 15,320 patients with resected gastric cancer in the Surveillance, Epidemiology, and End Results (SEER) database between 1988 and 2010. Missing data were handled using multiple imputation. When assessed as a continuous covariate with restricted cubic splines, each MLN, LNR, and LODDS variable was incorporated into a nomogram with other significant prognosticators to predict the 5-year overall survival. A two-centre Chinese dataset (1,595 cases) was used as external validation data. The discriminatory abilities of the MLN-, LNR-, and LODDS-based nomograms were comparable (concordance indices: 0.744, 0.741, and 0.744, respectively, in the SEER set, > 0.152 for all pairwise comparisons; 0.715, 0.712, and 0.713, respectively, in the Chinese set, > 0.445 for all pairwise comparisons). The discriminatory abilities of the three nomograms were all superior to the American Joint Committee on Cancer (AJCC) TNM classification (concordance indices: 0.713, < 0.001 for all in the SEER set; and 0.693, < 0.001 for all in the Chinese set). The discriminatory abilities of the nomograms were comparable regardless of the number of nodes examined. Moreover, decision curve analyses indicated similar net benefits of using the nomograms. MLN-, LNR-, and LODDS should be considered equally in the development of multivariate prognostic models and nomograms to refine the prediction of survival among patients with resected gastric cancer.
以往针对接受胃癌切除术患者的最佳淋巴结分期系统的研究结果并不一致,且用于开发预后列线图的最佳系统仍不明确。在本研究中,我们比较了基于转移淋巴结(MLN)计数、淋巴结比率(LNR)和转移淋巴结对数优势比(LODDS)的预后列线图,以预测接受胃癌切除术患者的5年总生存率。我们分析了1988年至2010年间监测、流行病学和最终结果(SEER)数据库中15320例接受胃癌切除术的患者。使用多重填补法处理缺失数据。当将每个MLN、LNR和LODDS变量作为具有受限立方样条的连续协变量进行评估时,将其与其他重要的预后因素纳入列线图,以预测5年总生存率。一个两中心的中国数据集(1595例)用作外部验证数据。基于MLN、LNR和LODDS的列线图的区分能力相当(一致性指数:在SEER数据集中分别为0.744、0.741和0.744,所有两两比较均>0.152;在中国数据集中分别为0.715、0.712和0.713,所有两两比较均>0.445)。这三个列线图的区分能力均优于美国癌症联合委员会(AJCC)TNM分类(一致性指数:在SEER数据集中均为0.713,所有比较均<0.001;在中国数据集中均为0.693,所有比较均<0.001)。无论检查的淋巴结数量如何,列线图的区分能力相当。此外,决策曲线分析表明使用列线图具有相似的净效益。在开发多变量预后模型和列线图以完善对接受胃癌切除术患者生存的预测时,应同等考虑MLN、LNR和LODDS。