Journal
LUNG CANCER
Volume 90, Issue 2, Pages 352-357Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.lungcan.2015.09.008
Keywords
CellSearch (R); Tumor cell; Lung cancer; Leptomeningeal metastasis
Categories
Funding
- China Scholarship Council
- French Ministry of Research, Ligue Contre le Cancer, CHU Nancy
- European Regional Development Fund (FEDER)
- Regional Lorraine Cancer research projects
Ask authors/readers for more resources
Objectives: The diagnosis of solid cancer leptomeningeal metastasis (LM) relies on the cytology of cerebrospinal fluid (CSF) and/or imaging evidence of neuraxis, yet both lack sufficient sensitivity. The utility of the CellSearch (R), an FDA -approved technology, in assessing CSF tumor cell (CSFTC) was evaluated here in the diagnosis and treatment of patients with lung cancer-related LM. Materials and methods: In 18 patients with magnetic resonance imaging (MRI) confirmed LM due to lung cancer, 5 mL of CSF were collected in CellSave (R) preservative tubes, which allow performing the assay within 96 h after sampling. Using a previously adapted CellSearch (R) method, we detected, visualized and enumerated CSFTCs and compared the results with conventional cytology. In 3 patients, tumor cells were evaluated sequentially to explore the predictive role of CSFTCs enumeration in the treatment response monitoring. Results: CSFTCs were disclosed in 14 of 18 MRI confirmed LM samples (median 785CSFTCs/5 mL CSF, range 1 to >20,000), yielding a sensitivity of 77.8%, compared with 44.4% for conventional cytology. CSFTC clusters were observed in 12 patients, similar to those previously described in blood as circulating tumor microemboli (CTM), and enumerated sequentially with reproducible results, which did not necessarily correlate with response to treatment. Conclusion: The CellSearch (R) technology, applied to limited sample volumes and allowing delayed processing, could be of great interest in the diagnosis of LM in lung cancer patients. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available