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Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles
Diagnosing leptomeningeal metastasis (LM) in medulloblastoma is currently based on positive cerebrospinal fluid (CSF) cytology or magnetic resonance imaging (MRI) finding. However, the relevance of discordant results has not been established. We evaluated the diagnostic potential of CSF metabolomic...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708677/ https://www.ncbi.nlm.nih.gov/pubmed/34940608 http://dx.doi.org/10.3390/metabo11120851 |
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author | Im, Ji Hye Yoo, Byong Chul Lee, Jun Hwa Lee, Kyue-Yim Kim, Kyung-Hee Kim, Jong Heon Park, Hyeon Jin Park, Meerim Lee, Sang Hyeon Kwon, Ji-Woong Shin, Sang Hoon Yoo, Heon Yang, Jeyul Choi, Seung Ah Kim, Seung-Ki Gwak, Ho-Shin |
author_facet | Im, Ji Hye Yoo, Byong Chul Lee, Jun Hwa Lee, Kyue-Yim Kim, Kyung-Hee Kim, Jong Heon Park, Hyeon Jin Park, Meerim Lee, Sang Hyeon Kwon, Ji-Woong Shin, Sang Hoon Yoo, Heon Yang, Jeyul Choi, Seung Ah Kim, Seung-Ki Gwak, Ho-Shin |
author_sort | Im, Ji Hye |
collection | PubMed |
description | Diagnosing leptomeningeal metastasis (LM) in medulloblastoma is currently based on positive cerebrospinal fluid (CSF) cytology or magnetic resonance imaging (MRI) finding. However, the relevance of discordant results has not been established. We evaluated the diagnostic potential of CSF metabolomic profiles in the medulloblastoma LM assessment. A total of 83 CSF samples from medulloblastoma patients with documented MRI and CSF cytology results at the time of sampling for LM underwent low-mass ions (LMIs) analysis using liquid chromatography-mass spectrometry. Discriminating LMIs were selected by a summed sensitivity and specificity (>160%) and LMI discriminant equation (LOME) algorithms, evaluated by measuring diagnostic accuracy for verifying LM groups of different MRI/cytology results. Diagnostic accuracy of LM in medulloblastoma was 0.722 for cytology and 0.889 for MRI. Among 6572 LMIs identified in all sample, we identified 27 discriminative LMIs differentiating MRI (+)/cytology (+) from MRI (−)/cytology (−). Using LMI discriminant equation (LOME) analysis, we selected 9 LMIs with a sensitivity of 100% and a specificity of 93.6% for differentiating MRI (+)/cytology (+) from MRI (−)/cytology (−). Another LOME of 20 LMIs significantly differentiated sampling time relative to treatment (p = 0.007) and the presence or absence of LM-related symptoms (p = 0.03) in the MRI (+)/cytology (−) group. CSF metabolomics of medulloblastoma patients revealed significantly different profiles among LM diagnosed with different test results. We suggest that LM patients could be screened by appropriately selected LOME-generated LMIs to support LM diagnosis by either MRI or cytology alone. |
format | Online Article Text |
id | pubmed-8708677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87086772021-12-25 Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles Im, Ji Hye Yoo, Byong Chul Lee, Jun Hwa Lee, Kyue-Yim Kim, Kyung-Hee Kim, Jong Heon Park, Hyeon Jin Park, Meerim Lee, Sang Hyeon Kwon, Ji-Woong Shin, Sang Hoon Yoo, Heon Yang, Jeyul Choi, Seung Ah Kim, Seung-Ki Gwak, Ho-Shin Metabolites Article Diagnosing leptomeningeal metastasis (LM) in medulloblastoma is currently based on positive cerebrospinal fluid (CSF) cytology or magnetic resonance imaging (MRI) finding. However, the relevance of discordant results has not been established. We evaluated the diagnostic potential of CSF metabolomic profiles in the medulloblastoma LM assessment. A total of 83 CSF samples from medulloblastoma patients with documented MRI and CSF cytology results at the time of sampling for LM underwent low-mass ions (LMIs) analysis using liquid chromatography-mass spectrometry. Discriminating LMIs were selected by a summed sensitivity and specificity (>160%) and LMI discriminant equation (LOME) algorithms, evaluated by measuring diagnostic accuracy for verifying LM groups of different MRI/cytology results. Diagnostic accuracy of LM in medulloblastoma was 0.722 for cytology and 0.889 for MRI. Among 6572 LMIs identified in all sample, we identified 27 discriminative LMIs differentiating MRI (+)/cytology (+) from MRI (−)/cytology (−). Using LMI discriminant equation (LOME) analysis, we selected 9 LMIs with a sensitivity of 100% and a specificity of 93.6% for differentiating MRI (+)/cytology (+) from MRI (−)/cytology (−). Another LOME of 20 LMIs significantly differentiated sampling time relative to treatment (p = 0.007) and the presence or absence of LM-related symptoms (p = 0.03) in the MRI (+)/cytology (−) group. CSF metabolomics of medulloblastoma patients revealed significantly different profiles among LM diagnosed with different test results. We suggest that LM patients could be screened by appropriately selected LOME-generated LMIs to support LM diagnosis by either MRI or cytology alone. MDPI 2021-12-07 /pmc/articles/PMC8708677/ /pubmed/34940608 http://dx.doi.org/10.3390/metabo11120851 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Im, Ji Hye Yoo, Byong Chul Lee, Jun Hwa Lee, Kyue-Yim Kim, Kyung-Hee Kim, Jong Heon Park, Hyeon Jin Park, Meerim Lee, Sang Hyeon Kwon, Ji-Woong Shin, Sang Hoon Yoo, Heon Yang, Jeyul Choi, Seung Ah Kim, Seung-Ki Gwak, Ho-Shin Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles |
title | Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles |
title_full | Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles |
title_fullStr | Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles |
title_full_unstemmed | Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles |
title_short | Experimental Assessment of Leptomeningeal Metastasis Diagnosis in Medulloblastoma Using Cerebrospinal Fluid Metabolomic Profiles |
title_sort | experimental assessment of leptomeningeal metastasis diagnosis in medulloblastoma using cerebrospinal fluid metabolomic profiles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708677/ https://www.ncbi.nlm.nih.gov/pubmed/34940608 http://dx.doi.org/10.3390/metabo11120851 |
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