Ueno Ayako, Maeda Reina, Kin Takanori, Ito Mitsuya, Kawasaki Kensuke, Ohtani Shoichiro
Division of Breast Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Japan,
Division of Breast Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Japan.
Chemotherapy. 2019;64(5-6):259-269. doi: 10.1159/000507043. Epub 2020 Apr 17.
Previous studies have suggested that the efficacy of eribulin is influenced by the activity of antitumor immunity of patients. Absolute lymphocyte count (ALC) and the neutrophil/lymphocyte ratio (NLR) are easily available parameters associated with the immunological status of patients.
Here we tried to classify patients' immunological status by using the scatter plot of ALC and NLR, and investigated its utility for predicting survival among patients with metastatic breast cancer receiving eribulin.
The medical records of 125 patients who received eribulin for metastatic breast cancer at our hospital between July 2011 and April 2019 were retrospectively reviewed. Uni- and multivariate analyses were performed to determine the association between baseline ALC/NLR and progression-free survival (PFS)/overall survival (OS). The cutoff values for ALC and NLR were determined using scatter plot analysis.
The entire cohort was classified into immunologically favorable (ALC ≥1,500/µL, 30 patients), intermediate (ALC <1,500/µL, NLR <5.0, 76 patients), and unfavorable (NLR ≥5.0, 19 patients) groups. Univariate analysis showed significant differences in PFS and OS between the groups, whereas multivariate analysis revealed that ALC ≥1,500/µL and NLR ≥5.0 were independent predictors of PFS, with adjusted hazard ratios (95% CI) of 0.57 (0.33-0.99) and 1.78 (1.00-3.15), respectively. NLR ≥5.0 was also associated with worse OS (adjusted hazard ratio: 0.55; 95% CI 0.35-0.88; p = 0.013).
Among patients with metastatic breast cancer receiving eribulin, survival outcomes were well stratified according to baseline peripheral blood ALC and NLR. Accordingly, high ALC and NLR can be used as predictive markers for longer disease control and worse survival, respectively.
既往研究表明,艾日布林的疗效受患者抗肿瘤免疫活性的影响。绝对淋巴细胞计数(ALC)和中性粒细胞/淋巴细胞比值(NLR)是与患者免疫状态相关的易于获取的参数。
在此,我们试图通过使用ALC和NLR的散点图对患者的免疫状态进行分类,并研究其对接受艾日布林治疗的转移性乳腺癌患者生存预测的效用。
回顾性分析2011年7月至2019年4月在我院接受艾日布林治疗转移性乳腺癌的125例患者的病历。进行单因素和多因素分析以确定基线ALC/NLR与无进展生存期(PFS)/总生存期(OS)之间的关联。使用散点图分析确定ALC和NLR的临界值。
整个队列被分为免疫状态良好组(ALC≥1500/µL,30例患者)、中间组(ALC<1500/µL,NLR<5.0,76例患者)和不良组(NLR≥5.0,19例患者)。单因素分析显示各组之间的PFS和OS存在显著差异,而多因素分析显示ALC≥1500/µL和NLR≥5.0是PFS的独立预测因素,调整后的风险比(95%CI)分别为0.57(0.33-0.99)和1.78(1.00-3.15)。NLR≥5.0也与较差的OS相关(调整后的风险比:0.55;95%CI 0.35-0.88;p=0.013)。
在接受艾日布林治疗的转移性乳腺癌患者中,根据基线外周血ALC和NLR可很好地分层生存结局。因此,高ALC和NLR可分别用作疾病控制时间更长和生存较差的预测标志物。