Quantitative assessment of circulating tumor cells in cerebrospinal fluid as a clinical tool to predict survival in leptomeningeal metastases
Journal of Neuro-Oncology, ISSN: 1573-7373, Vol: 157, Issue: 1, Page: 81-90
2022
- 24Citations
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations24
- Citation Indexes24
- 24
- Captures9
- Readers9
Article Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85124235511&origin=inward; http://dx.doi.org/10.1007/s11060-022-03949-1; http://www.ncbi.nlm.nih.gov/pubmed/35113288; https://link.springer.com/10.1007/s11060-022-03949-1; https://dx.doi.org/10.1007/s11060-022-03949-1; https://link.springer.com/article/10.1007/s11060-022-03949-1
Springer Science and Business Media LLC
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