Wang Qing-Xuan, Cai Ye-Feng, Chen Ying-Ying, Zhang Wei, Jin Wen-Xu, Chen En-Dong, Zhang Xiao-Hua, Li Quan
Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
Ann Clin Lab Sci. 2017 Jan;47(1):68-75.
OBJECTIVE: This study aimed to investigate the prognostic value of lymph node ratio (LNR), number of removed lymph nodes (RLNs), and number of negative lymph nodes (NLNs) in Chinese patients with triple negative breast cancer. METHODS: The study cohort comprised 394 breast cancer patients with the triple negative subtype. The log-rank test and Cox proportional hazards analysis was employed to identify prognostic clinicopathological factors. RESULTS: The median follow-up time was 61 months, and the five-year disease-free survival (DFS) and overall survival (OS) were 63.75% and 64.97%, respectively. Univariate Cox survival analysis revealed that pN stage, LNR, and NLNs were significant prognostic factors for DFS and OS (all, <0.05). Multivariate analysis including pN stage and LNR showed that LNR was an independent prognostic factor for DFS (=0.047) and OS (=0.0497). When combining pN stage, LNR, and NLNs together, only NLNs was an independent prognostic factor for DFS and OS (=0.014). LNR is prognostically superior to pN stage in patients with triple negative breast cancer. CONCLUSIONS: Our study revealed that LNR and NLNs can provide additional prognostic value for DFS and OS. Moreover, LNR had a better prognostic value compared with pN stage.
目的：本研究旨在探讨淋巴结比率（LNR）、切除淋巴结数量（RLNs）及阴性淋巴结数量（NLNs）对中国三阴性乳腺癌患者的预后价值。 方法：研究队列包括394例三阴性亚型乳腺癌患者。采用对数秩检验和Cox比例风险分析来确定预后的临床病理因素。 结果：中位随访时间为61个月，5年无病生存率（DFS）和总生存率（OS）分别为63.75%和64.97%。单因素Cox生存分析显示，pN分期、LNR和NLNs是DFS和OS的显著预后因素（均P<0.05）。包括pN分期和LNR的多因素分析表明，LNR是DFS（P=0.047）和OS（P=0.0497）的独立预后因素。当将pN分期、LNR和NLNs综合考虑时，仅NLNs是DFS和OS的独立预后因素（P=0.014）。在三阴性乳腺癌患者中，LNR的预后价值优于pN分期。 结论：我们的研究表明，LNR和NLNs可为DFS和OS提供额外的预后价值。此外，与pN分期相比，LNR具有更好的预后价值。
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