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Br J Cancer


Title:Unique volatolomic signatures of TP53 and KRAS in lung cells
Author(s):Davies MP; Barash O; Jeries R; Peled N; Ilouze M; Hyde R; Marcus MW; Field JK; Haick H;
Address:"Molecular and Clinical Cancer Medicine, University of Liverpool, Cancer Research Centre, 200 London Road, Liverpool, L3 9TA, UK. Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel. Tel-Aviv University and Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer 52621, Israel"
Journal Title:Br J Cancer
Year:2014
Volume:20140722
Issue:6
Page Number:1213 - 1221
DOI: 10.1038/bjc.2014.411
ISSN/ISBN:1532-1827 (Electronic) 0007-0920 (Print) 0007-0920 (Linking)
Abstract:"BACKGROUND: Volatile organic compounds (VOCs) are potential biomarkers for cancer detection in breath, but it is unclear if they reflect specific mutations. To test this, we have compared human bronchial epithelial cell (HBEC) cell lines carrying the KRAS(V12) mutation, knockdown of TP53 or both with parental HBEC cells. METHODS: VOC from headspace above cultured cells were collected by passive sampling and analysed by thermal desorption gas chromatography mass spectrometry (TD-GC-MS) or sensor array with discriminant factor analysis (DFA). RESULTS: In TD-GC-MS analysis, individual compounds had limited ability to discriminate between cell lines, but by applying DFA analysis combinations of 20 VOCs successfully discriminated between all cell types (accuracies 80-100%, with leave-one-out cross validation). Sensor array detection DFA demonstrated the ability to discriminate samples based on their cell type for all comparisons with accuracies varying between 77% and 93%. CONCLUSIONS: Our results demonstrate that minimal genetic changes in bronchial airway cells lead to detectable differences in levels of specific VOCs identified by TD-GC-MS or of patterns of VOCs identified by sensor array output. From the clinical aspect, these results suggest the possibility of breath analysis for detection of minimal genetic changes for earlier diagnosis or for genetic typing of lung cancers"
Keywords:"Air/analysis Artificial Intelligence Bronchi Cells, Cultured Discriminant Analysis Epithelial Cells/*metabolism Gas Chromatography-Mass Spectrometry Gene Knockdown Techniques Humans Lung Neoplasms/*genetics Microarray Analysis Mutation Proto-Oncogene Prot;"
Notes:"MedlineDavies, M P A Barash, O Jeries, R Peled, N Ilouze, M Hyde, R Marcus, M W Field, J K Haick, H eng Research Support, Non-U.S. Gov't England 2014/07/23 Br J Cancer. 2014 Sep 9; 111(6):1213-21. doi: 10.1038/bjc.2014.411. Epub 2014 Jul 22"

 
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