Division of Medical Oncology 2, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.
Medical Oncology Unit Policlinico Sant'Andrea, Via di Grottarossa 1035/1039, 00189, Rome, Italy.
Sci Rep. 2017 Sep 6;7(1):10597. doi: 10.1038/s41598-017-10061-2.
Evidence on everolimus in breast cancer has placed hyperglycemia among the most common high grade adverse events. Anthropometrics and biomarkers of glucose metabolism were investigated in a observational study of 102 postmenopausal, HR + HER2- metastatic breast cancer patients treated with everolimus-exemestane in first and subsequent lines. Best overall response (BR) and clinical benefit rate (CBR) were assessed across subgroups defined upon fasting glucose (FG) and body mass index (BMI). Survival was estimated by Kaplan-Meier method and log-rank test. Survival predictors were tested in Cox models. Median follow up was 12.4 months (1.0-41.0). The overall cohort showed increasing levels of FG and decreasing BMI (p < 0.001). Lower FG fasting glucose at BR was more commonly associated with C/PR or SD compared with PD (p < 0.001). We also observed a somewhat higher BMI associated with better response (p = 0.052). More patients in the lowest FG category achieved clinical benefit compared to the highest (p < 0.001), while no relevant differences emerged for BMI. Fasting glucose at re-assessment was also predictive of PFS (p = 0.037), as confirmed in models including BMI and line of therapy (p = 0.049). Treatment discontinuation was significantly associated with changes in FG (p = 0.014). Further research is warranted to corroborate these findings and clarify the underlying mechanisms.
在乳腺癌中,依维莫司的证据表明高血糖是最常见的高级别不良事件之一。在一项观察性研究中,对 102 名绝经后 HR+HER2-转移性乳腺癌患者进行了研究,这些患者在一线和后续治疗中接受了依维莫司-依西美坦治疗。根据空腹血糖(FG)和体重指数(BMI),对最佳总体反应(BR)和临床获益率(CBR)进行了亚组评估。通过 Kaplan-Meier 方法和对数秩检验估计生存情况。在 Cox 模型中测试了生存预测因子。中位随访时间为 12.4 个月(1.0-41.0)。整个队列显示 FG 水平升高,BMI 降低(p<0.001)。BR 时的 FG 较低与 C/PR 或 SD 相比,与 PD 更常相关(p<0.001)。我们还观察到,BMI 稍高与更好的反应相关(p=0.052)。与最高 FG 类别相比,最低 FG 类别中更多的患者实现了临床获益(p<0.001),而 BMI 则没有出现相关差异。再次评估时的空腹血糖也预测了 PFS(p=0.037),在包括 BMI 和治疗线的模型中也得到了证实(p=0.049)。治疗中断与 FG 的变化显著相关(p=0.014)。需要进一步的研究来证实这些发现并阐明潜在的机制。