4.5 Article

Quantitative assessment of circulating tumor cells in cerebrospinal fluid as a clinical tool to predict survival in leptomeningeal metastases

期刊

JOURNAL OF NEURO-ONCOLOGY
卷 157, 期 1, 页码 81-90

出版社

SPRINGER
DOI: 10.1007/s11060-022-03949-1

关键词

Leptomeningeal metastases; Circulating tumor cells; Biomarker; Brain metastases

资金

  1. Memorial Sloan Kettering Brain Tumor Center
  2. National Institutes of Health [P30-CA008748]

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The quantification of circulating tumor cells (CTCs) in cerebrospinal fluid (CSF) is a useful tool for predicting outcomes in patients with leptomeningeal metastases (LM) from solid tumors. This study found that CSF-CTC count can continuously predict survival in newly diagnosed LM, and it outperforms neuroimaging in terms of prognostic capability. CSF-CTC analysis provides a quantitative assessment of disease burden in the CNS compartment.
Purpose 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. Methods This is a single institution retrospective study of patients with solid tumors who underwent CSF-CTC quantification using the CellSearch(R) 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. Results 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. Conclusion 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.

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