Chen Chunfa, Zhang Yuling, Huang Ziyi, Wu Jundong, Huang Wenhe, Zhang Guojun
Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.
Department of Information.
Cancer Biol Med. 2019 Aug;16(3):575-586. doi: 10.20892/j.issn.2095-3941.2018.0423.
The purpose of this study was to explore the optimal cutoffs of the three parameters of Ki67 during NAC for predicting patient prognosis and investigate whether the optimal cutoffs of the Ki67 values were associated with relapse-free survival (RFS) or breast cancer-specific survival (BCSS).
A total of 92 patients with locally advanced breast cancer (LABC), who had residual disease after NAC were retrospectively investigated. The optimal cutoff values of the Ki67 parameters were assessed by the online algorithm Cutoff Finder. Kaplan-Meier analysis, the log-rank test and Cox regression analysis were carried out to analyze survival.
The optimal cutoff values for the postsurgical Ki67 level and the decrease in the Ki67 level during NAC were defined as 25% and 12.5%, respectively. According to the univariate survival analysis, a higher Ki67 level in residual disease was associated with poor RFS ( = 0.004) and BCSS ( = 0.014). In addition, a Ki67 expression decrease > 12.5% during NAC was related to favorable RFS ( = 0.007), but was not related to BCSS ( = 0.452). Cox regression analysis showed that the Ki67 expression decrease (> 12.5% ≤ 12.5%) and histological grade (grade 3 grade 1-2) were the independent factors associated with RFS ( = 0.020 and = 0.023, respectively), with HR values of 0.353 (95% CI: 0.147-0.850) and 3.422 (95% CI: 1.188-9.858), respectively.
The Ki67 decrease was one of the independent factors associated with RFS in LABC patients with residual disease after receiving NAC.
本研究旨在探索新辅助化疗(NAC)期间Ki67三个参数的最佳临界值,以预测患者预后,并研究Ki67值的最佳临界值是否与无复发生存期(RFS)或乳腺癌特异性生存期(BCSS)相关。
回顾性研究了92例局部晚期乳腺癌(LABC)患者,这些患者在NAC后仍有残留病灶。通过在线算法Cutoff Finder评估Ki67参数的最佳临界值。采用Kaplan-Meier分析、对数秩检验和Cox回归分析来分析生存率。
术后Ki67水平和NAC期间Ki67水平下降的最佳临界值分别定义为25%和12.5%。根据单因素生存分析,残留病灶中较高的Ki67水平与较差的RFS(P = 0.004)和BCSS(P = 0.014)相关。此外,NAC期间Ki67表达下降> 12.5%与良好的RFS相关(P = 0.007),但与BCSS无关(P = 0.452)。Cox回归分析显示,KiCox回归分析显示,Ki67表达下降(> 12.5% ≤ 12.5%)和组织学分级(3级 1-2级)是与RFS相关的独立因素(分别为P = 0.020和P = 0.023),HR值分别为0.353(95%CI:0.147-0.850)和3.422(95%CI:1.188-9.858)。
Ki67下降是接受NAC后有残留病灶的LABC患者中与RFS相关的独立因素之一。