Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Hunter College, New York, NY, USA.
J Neurooncol. 2022 Mar;157(1):81-90. doi: 10.1007/s11060-022-03949-1. Epub 2022 Feb 3.
Circulating tumor cells in cerebrospinal fluid are a quantitative diagnostic tool for leptomeningeal metastases from solid tumors, but their prognostic significance is unclear. Our objective was to evaluate CSF-CTC quantification in predicting outcomes in LM.
This is a single institution retrospective study of patients with solid tumors who underwent CSF-CTC quantification using the CellSearch platform between 04/2016 and 06/2019. Information on neuroaxis imaging, CSF results, and survival was collected. LM was diagnosed by MRI and/or CSF cytology. Survival analyses were performed using multivariable Cox proportional hazards modeling, and CSF-CTC splits associated with survival were identified through recursive partitioning analysis.
Out of 290 patients with CNS metastases, we identified a cohort of 101 patients with newly diagnosed LM. In this group, CSF-CTC count (median 200 CTCs/3 ml) predicted survival continuously (HR = 1.005, 95% CI: 1.002-1.009, p = 0.0027), and the risk of mortality doubled (HR = 2.84, 95% CI: 1.45-5.56, p = 0.0023) at the optimal cutoff of ≥ 61 CSF-CTCs/3 ml. Neuroimaging findings of LM (assessed by 3 independent neuroradiologists) were associated with a higher CSF-CTC count (median CSF-CTCs range 1.5-4 for patients without radiographic LM vs 200 for patients with radiographic LM, p < 0.001), but did not predict survival.
Our data shows that CSF-CTCs quantification predicts survival in newly diagnosed LM, and outperforms neuroimaging. CSF-CTC analysis can be used as a prognostic tool in patients with LM and provides quantitative assessment of disease burden in the CNS compartment.
循环肿瘤细胞(CTC)在脑脊液中是一种用于诊断实体瘤脑膜转移(LM)的定量诊断工具,但CTC 的预后意义尚不清楚。本研究旨在评估脑脊液 CTC 定量分析在预测 LM 患者结局中的作用。
这是一项回顾性单中心研究,纳入了 2016 年 4 月至 2019 年 6 月期间在本机构使用 CellSearch 平台进行脑脊液 CTC 定量分析的实体瘤患者。收集了神经轴影像学、脑脊液结果和生存信息。LM 通过 MRI 和/或脑脊液细胞学诊断。采用多变量 Cox 比例风险模型进行生存分析,通过递归分区分析确定与生存相关的 CTC 分割。
在 290 例 CNS 转移患者中,我们确定了 101 例新发 LM 患者的队列。在该组中,脑脊液 CTC 计数(中位数 200 CTCs/3 ml)连续预测生存(HR=1.005,95%CI:1.002-1.009,p=0.0027),最佳截断值为≥61 CTCs/3 ml 时,死亡率增加了一倍(HR=2.84,95%CI:1.45-5.56,p=0.0023)。LM 的神经影像学表现(由 3 位独立神经放射科医生评估)与更高的 CTC 计数相关(无影像学 LM 患者的 CTC 中位数范围为 1.5-4,有影像学 LM 患者的 CTC 中位数为 200,p<0.001),但与生存无关。
我们的数据表明,脑脊液 CTC 定量分析可预测新发 LM 患者的生存情况,且优于神经影像学。脑脊液 CTC 分析可作为 LM 患者的预后工具,并提供中枢神经系统疾病负担的定量评估。