Abstract: 【Abstract】 Objective〓The objective of this study were to determine the DFS(disease free survival) prognostic significance of subgrouping Luminal breast tumors into low- and high-risk luminal categories by using Ki67, PR, or P53 status and analyze whether the various methods can identify the same patients as being in the poor prognostic group. Methods〓Patients with early invasive breast cancer who were treated between March 2006 and December 2013,.were selected by searching breast tumor registries at Sun Yat-sen Memorial Hospital. Patient characteristics were collected. The primary outcome measured was DFS which was estimated using Kaplan-Meier test and a log-rank test was used to compare survival curves. Cox regression analysis was used to balance the risk factors for prognosis between groups. Kappa statistics were calculated among the three biomarkers. Results〓A total of 1107 patients with invasive breast cancer were eligible for inclusion in the study. Ki67, PR and P53 in the subclassification of Luminal tumors was all found to be of prognostic significance or independent prognostic significance on univariate analysis and multivariate analysis. They identified the different patients as being in the poor prognostic group. Conclusion〓In order to optimize patient management, better combination of these biomarkers need further explored.

Key words: Ki67, PR, P53, Breast cancer, Luminal A, Luminal B, Recurrence freesurvival

摘要： 【摘要】 目的 分别单独应用Ki67、PR、P53对Luminal型乳癌进行亚组分型,以无病生存为观察终点,分析是否可以区分出高低危组病人,并对比结果的一致性。方法〓回顾中山大学孙逸仙纪念医院2006年3月~2013年12月入院治疗的浸润性乳癌病人,收集病人一般临床资料和病理资料和随访结果。采用Kaplan-Meier生存分析和Cox回归分析方法检验有效性。一致性检验采用Kappa系数计算的方法。结果〓共1107例浸润性乳癌入组。K-M单因素分析结果表明,单独应用Ki67、PR、P53三者都可以区分出高危和低危两组病人,并且有统计学意义(P<0.001)。Cox回归多因素分析结果表明,Ki67、PR、P53三者都是无病生存的独立预测因子(P值均<0.05)。三种指标两两之间的Kappa系数均<0.4。结论〓单独应用三种指标均可以区分出高低危组病人,但三种指标各自区分出的两种亚型是不一致的,这说明还可以继续寻找更好的指标组合进行亚型分型。

关键词: Ki67, PR, P53, 乳腺癌, Luminal A, Luminal B, 无病生存