Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns
Untargeted lipid fingerprinting with hand-held ambient mass spectrometry (MS) probes without chromatographic separation has shown promise in the rapid characterization of cancers. As human cancers present significant molecular heterogeneities, careful molecular modeling and data validation strategie...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/11/10/660 |
| _version_ | 1827679147339546624 |
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| author | Lauren Katz Alessandra Tata Michael Woolman Arash Zarrine-Afsar |
| author_facet | Lauren Katz Alessandra Tata Michael Woolman Arash Zarrine-Afsar |
| author_sort | Lauren Katz |
| collection | DOAJ |
| description | Untargeted lipid fingerprinting with hand-held ambient mass spectrometry (MS) probes without chromatographic separation has shown promise in the rapid characterization of cancers. As human cancers present significant molecular heterogeneities, careful molecular modeling and data validation strategies are required to minimize late-stage performance variations of these models across a large population. This review utilizes parallels from the pitfalls of conventional protein biomarkers in reaching bedside utility and provides recommendations for robust modeling as well as validation strategies that could enable the next logical steps in large scale assessment of the utility of ambient MS profiling for cancer diagnosis. Six recommendations are provided that range from careful initial determination of clinical added value to moving beyond just statistical associations to validate lipid involvements in disease processes mechanistically. Further guidelines for careful selection of suitable samples to capture expected and unexpected intragroup variance are provided and discussed in the context of demographic heterogeneities in the lipidome, further influenced by lifestyle factors, diet, and potential intersect with cancer lipid pathways probed in ambient mass spectrometry profiling studies. |
| first_indexed | 2024-03-10T06:23:38Z |
| format | Article |
| id | doaj.art-0bd939ed98c34811b5dadc6039335ee7 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-10T06:23:38Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-0bd939ed98c34811b5dadc6039335ee72023-11-22T19:06:59ZengMDPI AGMetabolites2218-19892021-09-01111066010.3390/metabo11100660Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance ConcernsLauren Katz0Alessandra Tata1Michael Woolman2Arash Zarrine-Afsar3Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, CanadaLaboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100 Vicenza, ItalyDepartment of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, CanadaDepartment of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, CanadaUntargeted lipid fingerprinting with hand-held ambient mass spectrometry (MS) probes without chromatographic separation has shown promise in the rapid characterization of cancers. As human cancers present significant molecular heterogeneities, careful molecular modeling and data validation strategies are required to minimize late-stage performance variations of these models across a large population. This review utilizes parallels from the pitfalls of conventional protein biomarkers in reaching bedside utility and provides recommendations for robust modeling as well as validation strategies that could enable the next logical steps in large scale assessment of the utility of ambient MS profiling for cancer diagnosis. Six recommendations are provided that range from careful initial determination of clinical added value to moving beyond just statistical associations to validate lipid involvements in disease processes mechanistically. Further guidelines for careful selection of suitable samples to capture expected and unexpected intragroup variance are provided and discussed in the context of demographic heterogeneities in the lipidome, further influenced by lifestyle factors, diet, and potential intersect with cancer lipid pathways probed in ambient mass spectrometry profiling studies.https://www.mdpi.com/2218-1989/11/10/660ambient mass spectrometryuntargeted lipidomicsuntargeted metabolomicslipid profilingcancer diagnosis with ambient mass spectrometry |
| spellingShingle | Lauren Katz Alessandra Tata Michael Woolman Arash Zarrine-Afsar Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns Metabolites ambient mass spectrometry untargeted lipidomics untargeted metabolomics lipid profiling cancer diagnosis with ambient mass spectrometry |
| title | Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns |
| title_full | Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns |
| title_fullStr | Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns |
| title_full_unstemmed | Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns |
| title_short | Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns |
| title_sort | lipid profiling in cancer diagnosis with hand held ambient mass spectrometry probes addressing the late stage performance concerns |
| topic | ambient mass spectrometry untargeted lipidomics untargeted metabolomics lipid profiling cancer diagnosis with ambient mass spectrometry |
| url | https://www.mdpi.com/2218-1989/11/10/660 |
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