Laser ablation inductively coupled plasma mass spectrometry as a novel clinical imaging tool to detect asbestos fibres in malignant mesothelioma
Rationale Malignant pleural mesothelioma is an extremely aggressive and incurable malignancy associated with prior exposure to asbestos fibres. Difficulties remain in relation to early diagnosis, notably due to impeded identification of asbestos in lung tissue. This study describes a novel laser abl...
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| Veröffentlicht in: | Rapid communications in mass spectrometry 2020-11, Vol.34 (21), p.e8906-n/a |
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| creator | Voloaca, Oana M. Greenhalgh, Calum J. Cole, Laura M. Clench, Malcolm R. Managh, Amy J. Haywood‐Small, Sarah L. |
| description | Rationale
Malignant pleural mesothelioma is an extremely aggressive and incurable malignancy associated with prior exposure to asbestos fibres. Difficulties remain in relation to early diagnosis, notably due to impeded identification of asbestos in lung tissue. This study describes a novel laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) imaging approach to identify asbestos within mesothelioma models with clinical significance.
Methods
Human mesothelioma cells were exposed to different types of asbestos fibres and prepared on plastic slides for LA‐ICP‐MS analysis. No further sample preparation was required prior to analysis, which was performed using an NWR Image 266 nm laser ablation system coupled to an Element XR sector‐field ICP mass spectrometer, with a lateral resolution of 2 μm. Data was processed using LA‐ICP‐MS ImageTool v1.7 with the final graphic production made using DPlot software.
Results
Four different mineral fibres were successfully identified within the mesothelioma samples based on some of the most abundant elements that make up these fibres (Si, Mg and Fe). Using LA‐ICP‐MS as an imaging tool provided information on the spatial distribution of the fibres at cellular level, which is essential in asbestos detection within tissue samples. Based on the metal counts generated by the different types of asbestos, different fibres can be identified based on shape, size, and elemental composition. Detection of Ca was attempted but requires further optimisation.
Conclusions
Detection of asbestos fibres in lung tissues is very useful, if not necessary, to complete the pathological dt9iagnosis of asbestos‐related malignancies in the medicolegal field. For the first time, this study demonstrates the successful application of LA‐ICP‐MS imaging to identify asbestos fibres and other mineral fibres within mesothelioma samples. Ultimately, high‐resolution, fast‐speed LA‐ICP‐MS analysis has the potential to be integrated into clinical workflow to aid earlier detection and stratification of mesothelioma patient samples. |
| doi_str_mv | 10.1002/rcm.8906 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2426535598</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2448259385</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3606-cc4db9e8b3f04deaf79f500964d0330557cad63db2c94ee9f1251d901f9552b53</originalsourceid><addsrcrecordid>eNp10c9qHSEUBnApDfQ2CeQRhG6ymfSo49xxGS5tGrilUJr14OiZW4OjE3Va7lvkkWv-LEqhG938_Dycj5ALBlcMgH9MZr7qFXRvyIaB2jbABXtLNqAka1qm-nfkfc73AIxJDhvyuNcZE9Wj18XFQF2wqynuF_ojNXFdPFq6eJ1nTWedM80LmpLijCUdqc5U0xArpsa74Iz21M364MKBlhh9PajFUl9UOmIuMdPJjQlz_afmeXcIOhQ6Y47lJ3oXZ31GTibtM56_3qfk7vOnH7svzf7bze3uet8Y0UHXGNPaUWE_iglai3raqkkCqK61IARIuTXadsKO3KgWUU2MS2YVsElJyUcpTsnlS-6S4sNaZxtmlw16rwPGNQ-85Z0UUqq-0g__0Pu4plCnq6rtuVSi_yvQpJhzwmlYUl1GOg4MhqdqhlrN8FRNpc0L_e08Hv_rhu-7r8_-D-ZVkoA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2448259385</pqid></control><display><type>article</type><title>Laser ablation inductively coupled plasma mass spectrometry as a novel clinical imaging tool to detect asbestos fibres in malignant mesothelioma</title><source>Access via Wiley Online Library</source><creator>Voloaca, Oana M. ; Greenhalgh, Calum J. ; Cole, Laura M. ; Clench, Malcolm R. ; Managh, Amy J. ; Haywood‐Small, Sarah L.</creator><creatorcontrib>Voloaca, Oana M. ; Greenhalgh, Calum J. ; Cole, Laura M. ; Clench, Malcolm R. ; Managh, Amy J. ; Haywood‐Small, Sarah L.</creatorcontrib><description>Rationale
Malignant pleural mesothelioma is an extremely aggressive and incurable malignancy associated with prior exposure to asbestos fibres. Difficulties remain in relation to early diagnosis, notably due to impeded identification of asbestos in lung tissue. This study describes a novel laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) imaging approach to identify asbestos within mesothelioma models with clinical significance.
Methods
Human mesothelioma cells were exposed to different types of asbestos fibres and prepared on plastic slides for LA‐ICP‐MS analysis. No further sample preparation was required prior to analysis, which was performed using an NWR Image 266 nm laser ablation system coupled to an Element XR sector‐field ICP mass spectrometer, with a lateral resolution of 2 μm. Data was processed using LA‐ICP‐MS ImageTool v1.7 with the final graphic production made using DPlot software.
Results
Four different mineral fibres were successfully identified within the mesothelioma samples based on some of the most abundant elements that make up these fibres (Si, Mg and Fe). Using LA‐ICP‐MS as an imaging tool provided information on the spatial distribution of the fibres at cellular level, which is essential in asbestos detection within tissue samples. Based on the metal counts generated by the different types of asbestos, different fibres can be identified based on shape, size, and elemental composition. Detection of Ca was attempted but requires further optimisation.
Conclusions
Detection of asbestos fibres in lung tissues is very useful, if not necessary, to complete the pathological dt9iagnosis of asbestos‐related malignancies in the medicolegal field. For the first time, this study demonstrates the successful application of LA‐ICP‐MS imaging to identify asbestos fibres and other mineral fibres within mesothelioma samples. Ultimately, high‐resolution, fast‐speed LA‐ICP‐MS analysis has the potential to be integrated into clinical workflow to aid earlier detection and stratification of mesothelioma patient samples.</description><identifier>ISSN: 0951-4198</identifier><identifier>EISSN: 1097-0231</identifier><identifier>DOI: 10.1002/rcm.8906</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Ablation ; Asbestos ; Emission spectroscopy ; Imaging ; Inductively coupled plasma mass spectrometry ; Laser ablation ; Lasers ; Lungs ; Mass spectrometry ; Mesothelioma ; Mineral fibers ; Optimization ; Scientific imaging ; Spatial distribution ; Workflow</subject><ispartof>Rapid communications in mass spectrometry, 2020-11, Vol.34 (21), p.e8906-n/a</ispartof><rights>2020 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3606-cc4db9e8b3f04deaf79f500964d0330557cad63db2c94ee9f1251d901f9552b53</citedby><cites>FETCH-LOGICAL-c3606-cc4db9e8b3f04deaf79f500964d0330557cad63db2c94ee9f1251d901f9552b53</cites><orcidid>0000-0002-8374-9783 ; 0000-0002-0798-831X ; 0000-0002-4904-3234 ; 0000-0002-2538-6291 ; 0000-0003-0131-6907 ; 0000-0003-1479-0843</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Frcm.8906$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Frcm.8906$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Voloaca, Oana M.</creatorcontrib><creatorcontrib>Greenhalgh, Calum J.</creatorcontrib><creatorcontrib>Cole, Laura M.</creatorcontrib><creatorcontrib>Clench, Malcolm R.</creatorcontrib><creatorcontrib>Managh, Amy J.</creatorcontrib><creatorcontrib>Haywood‐Small, Sarah L.</creatorcontrib><title>Laser ablation inductively coupled plasma mass spectrometry as a novel clinical imaging tool to detect asbestos fibres in malignant mesothelioma</title><title>Rapid communications in mass spectrometry</title><description>Rationale
Malignant pleural mesothelioma is an extremely aggressive and incurable malignancy associated with prior exposure to asbestos fibres. Difficulties remain in relation to early diagnosis, notably due to impeded identification of asbestos in lung tissue. This study describes a novel laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) imaging approach to identify asbestos within mesothelioma models with clinical significance.
Methods
Human mesothelioma cells were exposed to different types of asbestos fibres and prepared on plastic slides for LA‐ICP‐MS analysis. No further sample preparation was required prior to analysis, which was performed using an NWR Image 266 nm laser ablation system coupled to an Element XR sector‐field ICP mass spectrometer, with a lateral resolution of 2 μm. Data was processed using LA‐ICP‐MS ImageTool v1.7 with the final graphic production made using DPlot software.
Results
Four different mineral fibres were successfully identified within the mesothelioma samples based on some of the most abundant elements that make up these fibres (Si, Mg and Fe). Using LA‐ICP‐MS as an imaging tool provided information on the spatial distribution of the fibres at cellular level, which is essential in asbestos detection within tissue samples. Based on the metal counts generated by the different types of asbestos, different fibres can be identified based on shape, size, and elemental composition. Detection of Ca was attempted but requires further optimisation.
Conclusions
Detection of asbestos fibres in lung tissues is very useful, if not necessary, to complete the pathological dt9iagnosis of asbestos‐related malignancies in the medicolegal field. For the first time, this study demonstrates the successful application of LA‐ICP‐MS imaging to identify asbestos fibres and other mineral fibres within mesothelioma samples. Ultimately, high‐resolution, fast‐speed LA‐ICP‐MS analysis has the potential to be integrated into clinical workflow to aid earlier detection and stratification of mesothelioma patient samples.</description><subject>Ablation</subject><subject>Asbestos</subject><subject>Emission spectroscopy</subject><subject>Imaging</subject><subject>Inductively coupled plasma mass spectrometry</subject><subject>Laser ablation</subject><subject>Lasers</subject><subject>Lungs</subject><subject>Mass spectrometry</subject><subject>Mesothelioma</subject><subject>Mineral fibers</subject><subject>Optimization</subject><subject>Scientific imaging</subject><subject>Spatial distribution</subject><subject>Workflow</subject><issn>0951-4198</issn><issn>1097-0231</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp10c9qHSEUBnApDfQ2CeQRhG6ymfSo49xxGS5tGrilUJr14OiZW4OjE3Va7lvkkWv-LEqhG938_Dycj5ALBlcMgH9MZr7qFXRvyIaB2jbABXtLNqAka1qm-nfkfc73AIxJDhvyuNcZE9Wj18XFQF2wqynuF_ojNXFdPFq6eJ1nTWedM80LmpLijCUdqc5U0xArpsa74Iz21M364MKBlhh9PajFUl9UOmIuMdPJjQlz_afmeXcIOhQ6Y47lJ3oXZ31GTibtM56_3qfk7vOnH7svzf7bze3uet8Y0UHXGNPaUWE_iglai3raqkkCqK61IARIuTXadsKO3KgWUU2MS2YVsElJyUcpTsnlS-6S4sNaZxtmlw16rwPGNQ-85Z0UUqq-0g__0Pu4plCnq6rtuVSi_yvQpJhzwmlYUl1GOg4MhqdqhlrN8FRNpc0L_e08Hv_rhu-7r8_-D-ZVkoA</recordid><startdate>20201115</startdate><enddate>20201115</enddate><creator>Voloaca, Oana M.</creator><creator>Greenhalgh, Calum J.</creator><creator>Cole, Laura M.</creator><creator>Clench, Malcolm R.</creator><creator>Managh, Amy J.</creator><creator>Haywood‐Small, Sarah L.</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8374-9783</orcidid><orcidid>https://orcid.org/0000-0002-0798-831X</orcidid><orcidid>https://orcid.org/0000-0002-4904-3234</orcidid><orcidid>https://orcid.org/0000-0002-2538-6291</orcidid><orcidid>https://orcid.org/0000-0003-0131-6907</orcidid><orcidid>https://orcid.org/0000-0003-1479-0843</orcidid></search><sort><creationdate>20201115</creationdate><title>Laser ablation inductively coupled plasma mass spectrometry as a novel clinical imaging tool to detect asbestos fibres in malignant mesothelioma</title><author>Voloaca, Oana M. ; Greenhalgh, Calum J. ; Cole, Laura M. ; Clench, Malcolm R. ; Managh, Amy J. ; Haywood‐Small, Sarah L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3606-cc4db9e8b3f04deaf79f500964d0330557cad63db2c94ee9f1251d901f9552b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Ablation</topic><topic>Asbestos</topic><topic>Emission spectroscopy</topic><topic>Imaging</topic><topic>Inductively coupled plasma mass spectrometry</topic><topic>Laser ablation</topic><topic>Lasers</topic><topic>Lungs</topic><topic>Mass spectrometry</topic><topic>Mesothelioma</topic><topic>Mineral fibers</topic><topic>Optimization</topic><topic>Scientific imaging</topic><topic>Spatial distribution</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Voloaca, Oana M.</creatorcontrib><creatorcontrib>Greenhalgh, Calum J.</creatorcontrib><creatorcontrib>Cole, Laura M.</creatorcontrib><creatorcontrib>Clench, Malcolm R.</creatorcontrib><creatorcontrib>Managh, Amy J.</creatorcontrib><creatorcontrib>Haywood‐Small, Sarah L.</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Rapid communications in mass spectrometry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Voloaca, Oana M.</au><au>Greenhalgh, Calum J.</au><au>Cole, Laura M.</au><au>Clench, Malcolm R.</au><au>Managh, Amy J.</au><au>Haywood‐Small, Sarah L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Laser ablation inductively coupled plasma mass spectrometry as a novel clinical imaging tool to detect asbestos fibres in malignant mesothelioma</atitle><jtitle>Rapid communications in mass spectrometry</jtitle><date>2020-11-15</date><risdate>2020</risdate><volume>34</volume><issue>21</issue><spage>e8906</spage><epage>n/a</epage><pages>e8906-n/a</pages><issn>0951-4198</issn><eissn>1097-0231</eissn><abstract>Rationale
Malignant pleural mesothelioma is an extremely aggressive and incurable malignancy associated with prior exposure to asbestos fibres. Difficulties remain in relation to early diagnosis, notably due to impeded identification of asbestos in lung tissue. This study describes a novel laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) imaging approach to identify asbestos within mesothelioma models with clinical significance.
Methods
Human mesothelioma cells were exposed to different types of asbestos fibres and prepared on plastic slides for LA‐ICP‐MS analysis. No further sample preparation was required prior to analysis, which was performed using an NWR Image 266 nm laser ablation system coupled to an Element XR sector‐field ICP mass spectrometer, with a lateral resolution of 2 μm. Data was processed using LA‐ICP‐MS ImageTool v1.7 with the final graphic production made using DPlot software.
Results
Four different mineral fibres were successfully identified within the mesothelioma samples based on some of the most abundant elements that make up these fibres (Si, Mg and Fe). Using LA‐ICP‐MS as an imaging tool provided information on the spatial distribution of the fibres at cellular level, which is essential in asbestos detection within tissue samples. Based on the metal counts generated by the different types of asbestos, different fibres can be identified based on shape, size, and elemental composition. Detection of Ca was attempted but requires further optimisation.
Conclusions
Detection of asbestos fibres in lung tissues is very useful, if not necessary, to complete the pathological dt9iagnosis of asbestos‐related malignancies in the medicolegal field. For the first time, this study demonstrates the successful application of LA‐ICP‐MS imaging to identify asbestos fibres and other mineral fibres within mesothelioma samples. Ultimately, high‐resolution, fast‐speed LA‐ICP‐MS analysis has the potential to be integrated into clinical workflow to aid earlier detection and stratification of mesothelioma patient samples.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/rcm.8906</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8374-9783</orcidid><orcidid>https://orcid.org/0000-0002-0798-831X</orcidid><orcidid>https://orcid.org/0000-0002-4904-3234</orcidid><orcidid>https://orcid.org/0000-0002-2538-6291</orcidid><orcidid>https://orcid.org/0000-0003-0131-6907</orcidid><orcidid>https://orcid.org/0000-0003-1479-0843</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Ablation Asbestos Emission spectroscopy Imaging Inductively coupled plasma mass spectrometry Laser ablation Lasers Lungs Mass spectrometry Mesothelioma Mineral fibers Optimization Scientific imaging Spatial distribution Workflow |
| title | Laser ablation inductively coupled plasma mass spectrometry as a novel clinical imaging tool to detect asbestos fibres in malignant mesothelioma |
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