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The Prognostic Significance of the Lymph Node Ratio in Axillary Lymph Node Positive Breast Cancer

机译:腋淋巴结阳性乳腺癌中淋巴结比率的预后意义

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Purpose This study evaluated the prognostic impact of the lymph node ratio (LNR; i.e., the ratio of positive to dissected lymph nodes) on recurrence and survival in breast cancer patients with positive axillary lymph nodes (LNs). Methods The study cohort was comprised of 330 breast cancer patients with positive axillary nodes who received postoperative radiotherapy between 1987 and 2004. Ten-year Kaplan-Meier locoregional failure, distant metastasis, disease-free survival (DFS) and disease-specific survival (DSS) rates were compared using Kaplan-Meier curves. The prognostic significance of the LNR was evaluated by multivariate analysis. Results Median follow-up was 7.5 years. By minimum p -value approach, 0.25 and 0.55 were the cutoff values of LNR at which most significant difference in DFS and DSS was observed. The DFS and DSS rates correlated significantly with tumor size, pN classification, LNR, histologic grade, lymphovascular invasion, the status of estrogen receptor and progesterone receptor. The LNR based classification yielded a statistically larger separation of the DFS curves than pN classification. In multivariate analysis, histologic grade and pN classification were significant prognostic factors for DFS and DSS. However, when the LNR was included as a covariate in the model, the LNR was highly significant ( p 0.05). Conclusion The LNR predicts recurrence and survival more accurately than pN classification in our study. The pN classification and LNR should be considered together in risk estimates for axillary LNs positive breast cancer patients.
机译:目的这项研究评估了淋巴结比率(LNR;即阳性淋巴结与解剖淋巴结的比率)对腋窝淋巴结阳性(LNs)的乳腺癌患者复发和生存的预后影响。方法该研究队列由330例腋窝淋巴结阳性的乳腺癌患者组成,他们在1987年至2004年之间接受了放射治疗。十年Kaplan-Meier局部区域衰竭,远处转移,无病生存期(DFS)和疾病特异性生存期(DSS)率使用Kaplan-Meier曲线进行比较。通过多变量分析评估了LNR的预后意义。结果中位随访时间为7.5年。通过最小p值方法,LNR的截止值是0.25和0.55,在该值处观察到DFS和DSS的最大差异。 DFS和DSS率与肿瘤大小,pN分类,LNR,组织学分级,淋巴管浸润,雌激素受体和孕激素受体的状态显着相关。基于LNR的分类产生的DFS曲线在统计上比pN分类更大。在多变量分析中,组织学分级和pN分类是DFS和DSS的重要预后因素。但是,当将LNR作为协变量包括在模型中时,LNR高度显着(p 0.05)。结论在我们的研究中,LNR比pN分类更准确地预测复发和生存。在腋窝LN阳性乳腺癌患者的风险评估中,应将pN分类和LNR一起考虑。

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