Cerebrospinal fluid circulating tumor cells: a novel tool to diagnose leptomeningeal metastases from epithelial tumors
Diagnosis of leptomeningeal metastasis (LM) remains challenging due to low sensitivity of CSF cytology and infrequent unequivocal MRI findings. In a previous pilot study, we showed that rare cell capture technology (RCCT) could be used to detect circulating tumor cells (CTC) in the CSF of patients w...
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Veröffentlicht in: | Neuro-oncology (Charlottesville, Va.) Va.), 2017-09, Vol.19 (9), p.1248-1254 |
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creator | Lin, Xuling Fleisher, Martin Rosenblum, Marc Lin, Oscar Boire, Adrienne Briggs, Samuel Bensman, Yevgeniya Hurtado, Brenda Shagabayeva, Larisa DeAngelis, Lisa M Panageas, Katherine S Omuro, Antonio Pentsova, Elena I |
description | Diagnosis of leptomeningeal metastasis (LM) remains challenging due to low sensitivity of CSF cytology and infrequent unequivocal MRI findings. In a previous pilot study, we showed that rare cell capture technology (RCCT) could be used to detect circulating tumor cells (CTC) in the CSF of patients with LM from epithelial tumors. To establish the diagnostic accuracy of CSF-CTC in the diagnosis of LM, we applied this technique in a distinct, larger cohort of patients.
In this institutional review board-approved prospective study, patients with epithelial tumors and clinical suspicion of LM underwent CSF-CTC evaluation and standard MRI and CSF cytology examination. CSF-CTC enumeration was performed through an FDA-approved epithelial cell adhesion molecule-based RCCT immunomagnetic platform. LM was defined by either positive CSF cytology or imaging positive for LM. ROC analysis was utilized to define an optimal cutoff for CSF-CTC enumeration.
Ninety-five patients were enrolled (36 breast, 31 lung, 28 others). LM was diagnosed in 30 patients (32%) based on CSF cytology (n = 12), MRI findings (n = 2), or both (n = 16). CSF-CTC were detected in 43/95 samples (median 19.3 CSF-CTC/mL, range 0.3 to 66.7). Based on ROC analysis, 1 CSF-CTC/mL provided the best threshold to diagnose LM, achieving a sensitivity of 93%, specificity of 95%, positive predictive value 90%, and negative predictive value 97%.
We defined ≥1 CSF-CTC/mL as the optimal cutoff for diagnosis of LM. CSF-CTC enumeration through RCCT is a robust tool to diagnose LM and should be considered in the routine LM workup in solid tumor patients. |
doi_str_mv | 10.1093/neuonc/nox066 |
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In this institutional review board-approved prospective study, patients with epithelial tumors and clinical suspicion of LM underwent CSF-CTC evaluation and standard MRI and CSF cytology examination. CSF-CTC enumeration was performed through an FDA-approved epithelial cell adhesion molecule-based RCCT immunomagnetic platform. LM was defined by either positive CSF cytology or imaging positive for LM. ROC analysis was utilized to define an optimal cutoff for CSF-CTC enumeration.
Ninety-five patients were enrolled (36 breast, 31 lung, 28 others). LM was diagnosed in 30 patients (32%) based on CSF cytology (n = 12), MRI findings (n = 2), or both (n = 16). CSF-CTC were detected in 43/95 samples (median 19.3 CSF-CTC/mL, range 0.3 to 66.7). Based on ROC analysis, 1 CSF-CTC/mL provided the best threshold to diagnose LM, achieving a sensitivity of 93%, specificity of 95%, positive predictive value 90%, and negative predictive value 97%.
We defined ≥1 CSF-CTC/mL as the optimal cutoff for diagnosis of LM. CSF-CTC enumeration through RCCT is a robust tool to diagnose LM and should be considered in the routine LM workup in solid tumor patients.</description><identifier>ISSN: 1522-8517</identifier><identifier>EISSN: 1523-5866</identifier><identifier>DOI: 10.1093/neuonc/nox066</identifier><identifier>PMID: 28821205</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Basic and Translational Investigations ; Biomarkers, Tumor - cerebrospinal fluid ; Editor's Choice ; Female ; Humans ; Male ; Meningeal Neoplasms - cerebrospinal fluid ; Meningeal Neoplasms - diagnosis ; Middle Aged ; Neoplasm Metastasis - diagnosis ; Neoplasms, Glandular and Epithelial - secondary ; Neoplastic Cells, Circulating</subject><ispartof>Neuro-oncology (Charlottesville, Va.), 2017-09, Vol.19 (9), p.1248-1254</ispartof><rights>The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><rights>The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-529eb3e6a82a259d971cc2bcac29bdfef9e6783f525f659b3c8005788f55290d3</citedby><cites>FETCH-LOGICAL-c453t-529eb3e6a82a259d971cc2bcac29bdfef9e6783f525f659b3c8005788f55290d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570249/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570249/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28821205$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lin, Xuling</creatorcontrib><creatorcontrib>Fleisher, Martin</creatorcontrib><creatorcontrib>Rosenblum, Marc</creatorcontrib><creatorcontrib>Lin, Oscar</creatorcontrib><creatorcontrib>Boire, Adrienne</creatorcontrib><creatorcontrib>Briggs, Samuel</creatorcontrib><creatorcontrib>Bensman, Yevgeniya</creatorcontrib><creatorcontrib>Hurtado, Brenda</creatorcontrib><creatorcontrib>Shagabayeva, Larisa</creatorcontrib><creatorcontrib>DeAngelis, Lisa M</creatorcontrib><creatorcontrib>Panageas, Katherine S</creatorcontrib><creatorcontrib>Omuro, Antonio</creatorcontrib><creatorcontrib>Pentsova, Elena I</creatorcontrib><title>Cerebrospinal fluid circulating tumor cells: a novel tool to diagnose leptomeningeal metastases from epithelial tumors</title><title>Neuro-oncology (Charlottesville, Va.)</title><addtitle>Neuro Oncol</addtitle><description>Diagnosis of leptomeningeal metastasis (LM) remains challenging due to low sensitivity of CSF cytology and infrequent unequivocal MRI findings. In a previous pilot study, we showed that rare cell capture technology (RCCT) could be used to detect circulating tumor cells (CTC) in the CSF of patients with LM from epithelial tumors. To establish the diagnostic accuracy of CSF-CTC in the diagnosis of LM, we applied this technique in a distinct, larger cohort of patients.
In this institutional review board-approved prospective study, patients with epithelial tumors and clinical suspicion of LM underwent CSF-CTC evaluation and standard MRI and CSF cytology examination. CSF-CTC enumeration was performed through an FDA-approved epithelial cell adhesion molecule-based RCCT immunomagnetic platform. LM was defined by either positive CSF cytology or imaging positive for LM. ROC analysis was utilized to define an optimal cutoff for CSF-CTC enumeration.
Ninety-five patients were enrolled (36 breast, 31 lung, 28 others). LM was diagnosed in 30 patients (32%) based on CSF cytology (n = 12), MRI findings (n = 2), or both (n = 16). CSF-CTC were detected in 43/95 samples (median 19.3 CSF-CTC/mL, range 0.3 to 66.7). Based on ROC analysis, 1 CSF-CTC/mL provided the best threshold to diagnose LM, achieving a sensitivity of 93%, specificity of 95%, positive predictive value 90%, and negative predictive value 97%.
We defined ≥1 CSF-CTC/mL as the optimal cutoff for diagnosis of LM. CSF-CTC enumeration through RCCT is a robust tool to diagnose LM and should be considered in the routine LM workup in solid tumor patients.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Basic and Translational Investigations</subject><subject>Biomarkers, Tumor - cerebrospinal fluid</subject><subject>Editor's Choice</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Meningeal Neoplasms - cerebrospinal fluid</subject><subject>Meningeal Neoplasms - diagnosis</subject><subject>Middle Aged</subject><subject>Neoplasm Metastasis - diagnosis</subject><subject>Neoplasms, Glandular and Epithelial - secondary</subject><subject>Neoplastic Cells, Circulating</subject><issn>1522-8517</issn><issn>1523-5866</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkc1rHSEUxaWkNGnaZbfBZTbT-PGc0SwC4dEvCHTTrsVxri8GR6fqPNr_vr68NKQgeuGe-7tyDkIfKPlIieJXEdYU7VVMv0nfv0JnVDDeCdn3J48166Sgwyl6W8oDIYyKnr5Bp0xKRhkRZ2i_hQxjTmXx0QTswuonbH22azDVxx2u65wythBCucYGx7SHgGtKhwtP3uxiKoADLDXNENsENMwM1ZR2oGCX04xh8fUegm-tR155h147Ewq8f3rP0c_Pn35sv3Z33798297edXYjeO0EUzBy6I1khgk1qYFay0ZrLFPj5MAp6AfJnWDC9UKN3EpCxCClE22UTPwc3Ry5yzrOMFmINZugl-xnk__oZLz-vxP9vd6lvRZiIGyjGuDyCZDTrxVK1bMvBzdMhLQWTRUnG0m4IE3aHaW22VkyuOc1lOhDVvqYlT5m1fQXL__2rP4XDv8LpJqWrg</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Lin, Xuling</creator><creator>Fleisher, Martin</creator><creator>Rosenblum, Marc</creator><creator>Lin, Oscar</creator><creator>Boire, Adrienne</creator><creator>Briggs, Samuel</creator><creator>Bensman, Yevgeniya</creator><creator>Hurtado, Brenda</creator><creator>Shagabayeva, Larisa</creator><creator>DeAngelis, Lisa M</creator><creator>Panageas, Katherine S</creator><creator>Omuro, Antonio</creator><creator>Pentsova, Elena I</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170901</creationdate><title>Cerebrospinal fluid circulating tumor cells: a novel tool to diagnose leptomeningeal metastases from epithelial tumors</title><author>Lin, Xuling ; Fleisher, Martin ; Rosenblum, Marc ; Lin, Oscar ; Boire, Adrienne ; Briggs, Samuel ; Bensman, Yevgeniya ; Hurtado, Brenda ; Shagabayeva, Larisa ; DeAngelis, Lisa M ; Panageas, Katherine S ; Omuro, Antonio ; Pentsova, Elena I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-529eb3e6a82a259d971cc2bcac29bdfef9e6783f525f659b3c8005788f55290d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Basic and Translational Investigations</topic><topic>Biomarkers, Tumor - cerebrospinal fluid</topic><topic>Editor's Choice</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Meningeal Neoplasms - cerebrospinal fluid</topic><topic>Meningeal Neoplasms - diagnosis</topic><topic>Middle Aged</topic><topic>Neoplasm Metastasis - diagnosis</topic><topic>Neoplasms, Glandular and Epithelial - secondary</topic><topic>Neoplastic Cells, Circulating</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Xuling</creatorcontrib><creatorcontrib>Fleisher, Martin</creatorcontrib><creatorcontrib>Rosenblum, Marc</creatorcontrib><creatorcontrib>Lin, Oscar</creatorcontrib><creatorcontrib>Boire, Adrienne</creatorcontrib><creatorcontrib>Briggs, Samuel</creatorcontrib><creatorcontrib>Bensman, Yevgeniya</creatorcontrib><creatorcontrib>Hurtado, Brenda</creatorcontrib><creatorcontrib>Shagabayeva, Larisa</creatorcontrib><creatorcontrib>DeAngelis, Lisa M</creatorcontrib><creatorcontrib>Panageas, Katherine S</creatorcontrib><creatorcontrib>Omuro, Antonio</creatorcontrib><creatorcontrib>Pentsova, Elena I</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Neuro-oncology (Charlottesville, Va.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Xuling</au><au>Fleisher, Martin</au><au>Rosenblum, Marc</au><au>Lin, Oscar</au><au>Boire, Adrienne</au><au>Briggs, Samuel</au><au>Bensman, Yevgeniya</au><au>Hurtado, Brenda</au><au>Shagabayeva, Larisa</au><au>DeAngelis, Lisa M</au><au>Panageas, Katherine S</au><au>Omuro, Antonio</au><au>Pentsova, Elena I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cerebrospinal fluid circulating tumor cells: a novel tool to diagnose leptomeningeal metastases from epithelial tumors</atitle><jtitle>Neuro-oncology (Charlottesville, Va.)</jtitle><addtitle>Neuro Oncol</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>19</volume><issue>9</issue><spage>1248</spage><epage>1254</epage><pages>1248-1254</pages><issn>1522-8517</issn><eissn>1523-5866</eissn><abstract>Diagnosis of leptomeningeal metastasis (LM) remains challenging due to low sensitivity of CSF cytology and infrequent unequivocal MRI findings. In a previous pilot study, we showed that rare cell capture technology (RCCT) could be used to detect circulating tumor cells (CTC) in the CSF of patients with LM from epithelial tumors. To establish the diagnostic accuracy of CSF-CTC in the diagnosis of LM, we applied this technique in a distinct, larger cohort of patients.
In this institutional review board-approved prospective study, patients with epithelial tumors and clinical suspicion of LM underwent CSF-CTC evaluation and standard MRI and CSF cytology examination. CSF-CTC enumeration was performed through an FDA-approved epithelial cell adhesion molecule-based RCCT immunomagnetic platform. LM was defined by either positive CSF cytology or imaging positive for LM. ROC analysis was utilized to define an optimal cutoff for CSF-CTC enumeration.
Ninety-five patients were enrolled (36 breast, 31 lung, 28 others). LM was diagnosed in 30 patients (32%) based on CSF cytology (n = 12), MRI findings (n = 2), or both (n = 16). CSF-CTC were detected in 43/95 samples (median 19.3 CSF-CTC/mL, range 0.3 to 66.7). Based on ROC analysis, 1 CSF-CTC/mL provided the best threshold to diagnose LM, achieving a sensitivity of 93%, specificity of 95%, positive predictive value 90%, and negative predictive value 97%.
We defined ≥1 CSF-CTC/mL as the optimal cutoff for diagnosis of LM. CSF-CTC enumeration through RCCT is a robust tool to diagnose LM and should be considered in the routine LM workup in solid tumor patients.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>28821205</pmid><doi>10.1093/neuonc/nox066</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Basic and Translational Investigations Biomarkers, Tumor - cerebrospinal fluid Editor's Choice Female Humans Male Meningeal Neoplasms - cerebrospinal fluid Meningeal Neoplasms - diagnosis Middle Aged Neoplasm Metastasis - diagnosis Neoplasms, Glandular and Epithelial - secondary Neoplastic Cells, Circulating |
title | Cerebrospinal fluid circulating tumor cells: a novel tool to diagnose leptomeningeal metastases from epithelial tumors |
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