METHODS: We retrospectively enrolled 1347 breast cancer patients who underwent mastectomy or lumpectomy between January 2011 and November 2012. Using a cutoff value of 110.59, patients were divided into a high-NRI group and a low-NRI group. OS was compared between the two groups. Clinicopathological factors independently associated with survival were used to construct a predictive nomogram.
RESULTS: Of the 1347 patients, 534 patients were classified as high NRI and 813 as low NRI. OS was significantly shorter in low-NRI patients. The 3- and 5-year OS rates were 87.3% and 73.4%, respectively, in the high-NRI group whereas they were 83.0% and 67.2%, respectively, in the low-NRI group. Cox regression analysis found that histopathological type, tumor size, lymph node status, progesterone receptor (PR) status, Ki-67, and NRI were independently associated with OS.
CONCLUSIONS: NRI is an independent prognostic factor of OS in breast cancer patients. The proposed nomogram model may be a useful tool for individualized survival prediction.
方法:我们回顾性地纳入了在2011年1月至2012年11月期间接受乳房切除术或乳房肿瘤切除术的1347例乳腺癌患者。使用临界值110.59,将患者分为高NRI组和低NRI组。比较两组OS。使用与生存独立相关的临床病理因素来构建预测列线图。
结果:在1347名患者中,534例患者被分类为高NRI,813例被分类为低NRI。低NRI患者的OS显著缩短。3年和5年OS率分别为87.3%和73.4%,分别,在高NRI组中,它们分别为83.0%和67.2%,分别,在低NRI组中。Cox回归分析发现,组织病理类型,肿瘤大小,淋巴结状态,孕激素受体(PR)状态,Ki-67和NRI与OS独立相关。
结论:NRI是乳腺癌患者OS的独立预后因素。所提出的列线图模型可能是用于个性化生存预测的有用工具。