Imperial College London
Alternate

ProfessorGeorgeHanna

Faculty of Medicine, Department of Surgery & Cancer

Head of Department of Surgery and Cancer
 
 
 
//

Contact

 

+44 (0)20 7594 3396g.hanna

 
 
//

Assistant

 

Ms Aoibheann Byrne +44 (0)20 7594 3396

 
//

Location

 

Block B Hammersmith HospitalHammersmith Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Chin:2018:10.1038/s41598-018-22890-w,
author = {Chin, S-T and Romano, A and Doran, SLF and Hanna, GB},
doi = {10.1038/s41598-018-22890-w},
journal = {SCIENTIFIC REPORTS},
title = {Cross-platform mass spectrometry annotation in breathomics of oesophageal-gastric cancer},
url = {http://dx.doi.org/10.1038/s41598-018-22890-w},
volume = {8},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Disease breathomics is gaining importance nowadays due to its usefulness as non-invasive early cancer detection. Mass spectrometry (MS) technique is often used for analysis of volatile organic compounds (VOCs) associated with cancer in the exhaled breath but a long-standing challenge is the uncertainty in mass peak annotation for potential volatile biomarkers. This work describes a cross-platform MS strategy employing selected-ion flow tube mass spectrometry (SIFT-MS), high resolution gas chromatography-mass spectrometry (GC-MS) retrofitted with electron ionisation (EI) and GC-MS retrofitted with positive chemical ionisation (PCI) as orthogonal analytical approaches in order to provide facile identification of the oxygenated VOCs from breath of cancer patients. In addition, water infusion was applied as novel efficient PCI reagent in breathomics analysis, depicting unique diagnostic ions M+ or [M-17]+ for VOC identification. Identity confirmation of breath VOCs was deduced using the proposed multi-platform workflow, which reveals variation in breath oxygenated VOC composition of oesophageal-gastric (OG) cancer patients with dominantly ketones, followed by aldehydes, alcohols, acids and phenols in decreasing order of relative abundance. Accurate VOC identification provided by cross-platform approach would be valuable for the refinement of diagnostic VOC models and the understanding of molecular drivers of VOC production.
AU  - Chin,S-T
AU  - Romano,A
AU  - Doran,SLF
AU  - Hanna,GB
DO  - 10.1038/s41598-018-22890-w
PY  - 2018///
SN  - 2045-2322
TI  - Cross-platform mass spectrometry annotation in breathomics of oesophageal-gastric cancer
T2  - SCIENTIFIC REPORTS
UR  - http://dx.doi.org/10.1038/s41598-018-22890-w
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000428163600010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/58817
VL  - 8
ER  -
Download