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Quantitative assessment of circulating tumor cells in cerebrospinal fluid as a clinical tool to predict survival in leptomeningeal metastases.
Diaz, Maria; Singh, Priya; Kotchetkov, Ivan S; Skakodub, Anna; Meng, Alicia; Tamer, Christel; Young, Robert J; Reiner, Anne S; Panageas, Katherine S; Ramanathan, Lakshmi V; Pentsova, Elena.
Affiliation
  • Diaz M; Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
  • Singh P; Hunter College, New York, NY, USA.
  • Kotchetkov IS; Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
  • Skakodub A; Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
  • Meng A; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Tamer C; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Young RJ; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Reiner AS; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Panageas KS; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Ramanathan LV; Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pentsova E; Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. pentsove@mskcc.org.
J Neurooncol ; 157(1): 81-90, 2022 Mar.
Article in En | MEDLINE | ID: mdl-35113288
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® 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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meningeal Carcinomatosis / Neoplastic Cells, Circulating Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Neurooncol Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meningeal Carcinomatosis / Neoplastic Cells, Circulating Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Neurooncol Year: 2022 Type: Article Affiliation country: United States