Xiao Xiang-Sheng, Tang Hai-Lin, Xie Xin-Hua, Li Lai-Sheng, Kong Ya-Nan, Wu Min-Qing, Yang Lu, Gao Jie, Wei Wei-Dong, Xie Xiaoming
Department of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China E-mail :
Asian Pac J Cancer Prev. 2013;14(9):5219-23. doi: 10.7314/apjcp.2013.14.9.5219.
The number of axillary lymph nodes involved and retrieved are important prognostic factors in breast cancer. The purpose of our study was to investigate whether the lymph node ratio (LNR) is a better prognostic factor in predicting disease-free survival (DFS) for breast cancer patients as compared with pN staging. The analysis was based on 804 breast cancer patients who had underwent axillary lymph node dissection between 1999 and 2008 in Sun Yat-Sen University Cancer Center. Optimal cutoff points of LNR were calculated using X-tile software and validated by bootstrapping. Patients were then divided into three groups (low-, intermediate-, and high-risk) according to the cutoff points. Predicting risk factors for relapse were performed according to Cox proportional hazards analysis. DFS was estimated using the Kaplan-Meier method and compared by the log-rank test. The 5-year DFS rate decreased significantly with increasing LNRs and pN. Univariate analysis found that the pT , pN, LNR, molecule type, HER2, pTNM stage and radiotherapy well classified patients with significantly different prognosis. By multivariate analysis, only LNR classification was retained as an independent prognostic factor. Furthermore, there was a significant prognostic difference among different LNR categories for pN2 category, but no apparent prognostic difference was seen between different pN categories in any LNR category. Therefore, LNR rather than pN staging is preferable in predicting DFS in node positive breast cancer patients, and routine clinical decision-making should take the LNR into consideration.
腋窝淋巴结受累及清扫的数量是乳腺癌重要的预后因素。我们研究的目的是调查与pN分期相比,淋巴结比率(LNR)在预测乳腺癌患者无病生存期(DFS)方面是否为更好的预后因素。该分析基于1999年至2008年期间在中山大学肿瘤防治中心接受腋窝淋巴结清扫术的804例乳腺癌患者。使用X-tile软件计算LNR的最佳截断点,并通过自抽样法进行验证。然后根据截断点将患者分为三组(低风险、中风险和高风险)。根据Cox比例风险分析进行复发危险因素预测。使用Kaplan-Meier方法估计DFS,并通过对数秩检验进行比较。5年DFS率随着LNR和pN的增加而显著降低。单因素分析发现,pT、pN、LNR、分子类型、HER2、pTNM分期和放疗能很好地将预后显著不同的患者分类。多因素分析显示,仅LNR分类作为独立预后因素保留下来。此外,对于pN2类别,不同LNR类别之间存在显著的预后差异,但在任何LNR类别中,不同pN类别之间均未观察到明显的预后差异。因此,在预测淋巴结阳性乳腺癌患者的DFS时,LNR比pN分期更具优势,临床常规决策应考虑LNR。