Volatile organic compound analysis of malignant pleural mesothelioma chorioallantoic membrane xenografts

Malignant pleural mesothelioma (MPM) is an aggressive cancer associated with asbestos exposure. MPM is often diagnosed late, at a point where limited treatment options are available, but early intervention could improve the chances of successful treatment for MPM patients. Biomarkers to detect MPM in at-risk individuals are needed to implement early diagnosis technologies. Volatile organic compounds (VOCs) have previously shown diagnostic potential as biomarkers when analysed in MPM patient breath. In this study, chorioallantoic membrane (CAM) xenografts of MPM cell lines were used as models of MPM tumour development for VOC biomarker discovery with the aim of generating targets for investigation in breath, biopsies or other complex matrices. VOC headspace analysis of biphasic or epithelioid MPM CAM xenografts was performed using solid-phase microextraction and gas chromatography-mass spectrometry. We successfully demonstrated the capture, analysis and separation of VOC signatures from CAM xenografts and controls. A panel of VOCs was identified that showed discrimination between MPM xenografts generated from biphasic and epithelioid cells and CAM controls. This is the first application of the CAM xenograft model for the discovery of VOC biomarkers associated with MPM histological subtypes. These findings support the potential utility of non-invasive VOC profiling from breath or headspace analysis of tissues for detection and monitoring of MPM.

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Publication Details

Journal
Journal of Breath Research
Published
2024-08-22
DOI
https://doi.org/10.1088/1752-7163/ad7166
Citations
7
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.29

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article

Volatile organic compound analysis of malignant pleural mesothelioma chorioallantoic membrane xenografts

Sarah E. Barnett, Theo Issitt, K. Elizabeth Allen, Sam Bonsall et al.
7 citations
Journal of Breath Research
Advanced Chemical Sensor Technologies
1.29
article

Volatile organic compound analysis of malignant pleural mesothelioma chorioallantoic membrane xenografts

Sarah E. Barnett, Theo Issitt, K. Elizabeth Allen, Sam Bonsall, Neil A. Cross, Liam David Little, Laura M. Cole, Vikki A. Carolan, Sarah Haywood‐Small, Judy M. Coulson
article en
7 citations

Abstract

Malignant pleural mesothelioma (MPM) is an aggressive cancer associated with asbestos exposure. MPM is often diagnosed late, at a point where limited treatment options are available, but early intervention could improve the chances of successful treatment for MPM patients. Biomarkers to detect MPM in at-risk individuals are needed to implement early diagnosis technologies. Volatile organic compounds (VOCs) have previously shown diagnostic potential as biomarkers when analysed in MPM patient breath. In this study, chorioallantoic membrane (CAM) xenografts of MPM cell lines were used as models of MPM tumour development for VOC biomarker discovery with the aim of generating targets for investigation in breath, biopsies or other complex matrices. VOC headspace analysis of biphasic or epithelioid MPM CAM xenografts was performed using solid-phase microextraction and gas chromatography-mass spectrometry. We successfully demonstrated the capture, analysis and separation of VOC signatures from CAM xenografts and controls. A panel of VOCs was identified that showed discrimination between MPM xenografts generated from biphasic and epithelioid cells and CAM controls. This is the first application of the CAM xenograft model for the discovery of VOC biomarkers associated with MPM histological subtypes. These findings support the potential utility of non-invasive VOC profiling from breath or headspace analysis of tissues for detection and monitoring of MPM.

Journal of Breath ResearchVol. 18(4)
University of Liverpool (GB), Sheffield Hallam University (GB)
Sheffield Hallam University, Cancer Research UK, National Centre for the Replacement Refinement and Reduction of Animals in Research
Peace, Justice and strong institutions
Openalex Percentile: Top 22%
Advanced Chemical Sensor Technologies
1.29
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