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具有异常拷贝数的循环肿瘤细胞可预测克唑替尼治疗后 -重排非小细胞肺癌患者的无进展生存期。

Circulating Tumor Cells with Aberrant Copy Number Predict Progression-Free Survival during Crizotinib Treatment in -Rearranged Non-Small Cell Lung Cancer Patients.

机构信息

Gustave Roussy, Université Paris-Saclay, "Circulating Tumor Cells" Translational Platform, CNRS UMS3655 - INSERM US23 AMMICA, Villejuif, France.

INSERM, U981 "Identification of Molecular Predictors and new Targets for Cancer Treatment," Villejuif, France.

出版信息

Cancer Res. 2017 May 1;77(9):2222-2230. doi: 10.1158/0008-5472.CAN-16-3072.

Abstract

The duration and magnitude of clinical response are unpredictable in -rearranged non-small cell lung cancer (NSCLC) patients treated with crizotinib, although all patients invariably develop resistance. Here, we evaluated whether circulating tumor cells (CTC) with aberrant -FISH patterns [-rearrangement, -copy number gain (-CNG)] monitored on crizotinib could predict progression-free survival (PFS) in a cohort of -rearranged patients. Thirty-nine -rearranged NSCLC patients treated with crizotinib as first ALK inhibitor were recruited prospectively. Blood samples were collected at baseline and at an early time-point (2 months) on crizotinib. Aberrant -FISH patterns were examined in CTCs using immunofluorescence staining combined with filter-adapted FISH after filtration enrichment. CTCs were classified into distinct subsets according to the presence of -rearrangement and/or -CNG signals. No significant association between baseline numbers of -rearranged or -CNG CTCs and PFS was observed. However, we observed a significant association between the decrease in CTC number with -CNG on crizotinib and a longer PFS (likelihood ratio test, = 0.025). In multivariate analysis, the dynamic change of CTC with -CNG was the strongest factor associated with PFS (HR, 4.485; 95% confidence interval, 1.543-13.030, = 0.006). Although not dominant, -CNG has been reported to be one of the mechanisms of acquired resistance to crizotinib in tumor biopsies. Our results suggest that the dynamic change in the numbers of CTCs with -CNG may be a predictive biomarker for crizotinib efficacy in -rearranged NSCLC patients. Serial molecular analysis of CTC shows promise for real-time patient monitoring and clinical outcome prediction in this population. .

摘要

在接受克唑替尼治疗的 - 重排非小细胞肺癌(NSCLC)患者中,临床反应的持续时间和程度是不可预测的,尽管所有患者都会不可避免地产生耐药性。在这里,我们评估了在 - 重排患者队列中,用克唑替尼监测具有异常 -FISH 模式[-重排、- 拷贝数增益(-CNG)]的循环肿瘤细胞(CTC)是否可以预测无进展生存期(PFS)。39 名接受克唑替尼作为一线 ALK 抑制剂治疗的 - 重排 NSCLC 患者前瞻性入组。在基线和克唑替尼早期(2 个月)采集血液样本。使用免疫荧光染色联合过滤适应 FISH 在 CTC 中检测异常 -FISH 模式,在过滤富集后。根据 - 重排和/或 -CNG 信号的存在,将 CTC 分为不同的亚群。未观察到基线 - 重排或 -CNG CTC 数量与 PFS 之间存在显著相关性。然而,我们观察到在克唑替尼上 CTC 数量与 -CNG 的减少与较长的 PFS 之间存在显著相关性(似然比检验,=0.025)。在多变量分析中,与 PFS 相关的最强因素是 CTC 与 -CNG 的动态变化(HR,4.485;95%置信区间,1.543-13.030,=0.006)。虽然不是主要因素,但据报道,-CNG 是肿瘤活检中获得性对克唑替尼耐药的机制之一。我们的结果表明,具有 -CNG 的 CTC 数量的动态变化可能是 - 重排 NSCLC 患者对克唑替尼疗效的预测生物标志物。CTC 的连续分子分析为该人群的实时患者监测和临床结果预测提供了希望。

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