a Department of Cancer Genetics , Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital , Oslo , Norway.
b Department of Oncology , Oslo University Hospital, The Norwegian Radium Hospital , Oslo , Norway.
Acta Oncol. 2018 Sep;57(9):1225-1231. doi: 10.1080/0284186X.2018.1465585. Epub 2018 Apr 23.
The introduction of immune check-point inhibition in non-small cell lung cancer (NSCLC) therapy represents improved prospects for the patients. The response rates to check-point inhibitors are approximately 20% in unselected NSCLC patients. Increasing levels of tumor PD-L1 expression are associated with higher response rates. However, patients with low PD-L1 levels may also have durable responses, and improved strategies for patient stratification are needed.
In this study, we investigated circulating microRNAs aiming to identify circulating predictive biomarkers associated with increased overall survival after immune check-point treatment. Using next generation sequencing, we performed microRNA profiling in serum from NSCLC patients (n = 20) treated with nivolumab. Serum samples from 31 patients were used for validation using qPCR assays. Serum samples were collected prior to immune therapy initiation.
Based on multivariate regression analysis, we identified a signature of seven microRNAs (miR-215-5p, miR-411-3p, miR-493-5p, miR-494-3p, miR-495-3p, miR-548j-5p and miR-93-3p) significantly associated with overall survival (OS) > 6 months in discovery cohort (p = .0003). We further validated this in another similar set of samples (n = 31) and the model was significantly associated with overall survival (OS) > 6 months (p = .001) with sensitivity and specificity of 71% and 90%, respectively.
In this study of circulating microRNAs, we have identified a 7-miR signature associated with survival in nivolumab-treated NSCLC patients. This signature may lead to better treatment options for patients with NSCLC, but a validation in an independent cohort is needed to confirm the predicted potential.
免疫检查点抑制在非小细胞肺癌(NSCLC)治疗中的引入为患者带来了更好的前景。在未经选择的 NSCLC 患者中,检查点抑制剂的反应率约为 20%。肿瘤 PD-L1 表达水平的升高与更高的反应率相关。然而,PD-L1 水平较低的患者也可能有持久的反应,需要改进患者分层的策略。
在这项研究中,我们研究了循环 microRNAs,旨在确定与免疫检查点治疗后总生存时间延长相关的循环预测生物标志物。我们使用下一代测序对接受 nivolumab 治疗的 NSCLC 患者(n=20)的血清进行 microRNA 谱分析。使用 qPCR 检测法对 31 例患者的血清样本进行验证。血清样本在免疫治疗开始前采集。
基于多变量回归分析,我们确定了一个由 7 个 microRNAs(miR-215-5p、miR-411-3p、miR-493-5p、miR-494-3p、miR-495-3p、miR-548j-5p 和 miR-93-3p)组成的特征,该特征与发现队列中总生存期(OS)>6 个月显著相关(p=0.0003)。我们在另一组类似的样本(n=31)中进一步验证了这一点,该模型与总生存期(OS)>6 个月显著相关(p=0.001),其敏感性和特异性分别为 71%和 90%。
在这项关于循环 microRNAs 的研究中,我们确定了一个与 nivolumab 治疗的 NSCLC 患者生存相关的 7-microRNA 特征。该特征可能为 NSCLC 患者带来更好的治疗选择,但需要在独立队列中进行验证,以确认预测的潜力。