Headspace analysis of mesothelioma cell lines differentiates biphasic and epithelioid sub-types.

LITTLE, Liam David, CAROLAN, Vikki Amanda, ALLEN, K Elizabeth, COLE, Laura Margaret and HAYWOOD-SMALL, Sarah Louise (2020). Headspace analysis of mesothelioma cell lines differentiates biphasic and epithelioid sub-types. Journal of Breath Research, 14 (4), 046011.

Haywood-Small_HeadspaceAnalysisMesothelioma(VoR).pdf - Published Version
Creative Commons Attribution.

Download (939kB) | Preview
Open Access URL: https://iopscience.iop.org/article/10.1088/1752-71... (Published version)
Link to published version:: https://doi.org/10.1088/1752-7163/abaaff


Malignant mesothelioma (MM) is an incurable cancer. MM is often misdiagnosed, with a poor 5-year survival and limited treatment options. The discovery of endogenous volatile organic compounds (VOCs) is required in order to accelerate the development of a breath test as an alternative to conventional MM diagnosis. For the first time, this study used solid-phase microextraction (SPME) and gas chromatography-mass spectrometry (GC-MS) to identify VOCs released directly from the biphasic MM cell line MSTO-211H and the epithelioid MM cell line NCI-H28 as well as the non-malignant mesothelial cell line MET-5A. Multivariate statistical analysis showed separation between MSTO-211H, NCI-H28 and MET-5A results. 2-ethyl-1-hexanol was significantly increased in both MSTO-211H and NCI-H28 cells compared to MET-5A controls. In addition, ethyl propionate and cyclohexanol were significantly increased in MSTO-211H cells and dodecane was significantly increased in NCI-H28 cells. This is the first study reporting headspace analysis of these MM cell lines and the first to consider the effects of mesothelioma sub-type on VOC profile. Current results further highlight the potential for a diagnostic mesothelioma breath test as well as providing proof of concept for the differentiation between biphasic and epithelioid mesothelioma based on VOC profiles.

Item Type: Article
Uncontrolled Keywords: Headspace Analysis; Malignant Mesothelioma; Volatile Organic Compounds; 0903 Biomedical Engineering
Identification Number: https://doi.org/10.1088/1752-7163/abaaff
Page Range: 046011
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 10 Aug 2020 16:25
Last Modified: 17 Mar 2021 22:31
URI: https://shura.shu.ac.uk/id/eprint/26917

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics