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The analysis of volatile organic compounds biomarkers for lung cancer in exhaled breath, tissues and cell lines.
MedLine Citation:
PMID:  23144150     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Background: Volatile organic compounds (VOCs) biomarkers in breath provide a novel, noninvasive and quick approach to diagnosis lung cancer. The aim of the proposed study was to investigate the VOCs biomarkers in exhaled breath for lung cancer. Method: The VOCs in exhaled breath of 88 lung cancer patients, 70 lung benign disease and 85 healthy people were analyzed by Solid Phase Micro Extraction - Gas Chromatography Mass Spectrometry (SPME-GCMS). Three types of lung cancer cells and 18 lung cancer patients' tissues were cultured in vitro. The VOCs in the headspace of these cultivations were analyzed as an evidence of production mechanism of the VOCs in breath. Three lung cancer diagnosis models were constructed respectively in exhaled breath samples using Linear Discriminant Analysis (LDA). Leave one out cross validation was employed to evaluate these models. Results: 23 VOCs, whose areas under curve (AUC) of receiver operating characteristic (ROC) > 0.60 and p < 0.01, were confirmed as the VOCs biomarkers for lung cancer. Three diagnostic models based on 23 VOCs could easily discriminate lung cancer patients from controls with 96.47% sensitivity and 97.47% specificity. However, the discrimination between early stage and later stage lung cancer was not very obvious.
Authors:
Yishan Wang; Yanjie Hu; Di Wang; Kai Yu; Ling Wang; Yingchang Zou; Cong Zhao; Xuanlang Zhang; Ping Wang; Kejing Ying
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Cancer biomarkers : section A of Disease markers     Volume:  11     ISSN:  1875-8592     ISO Abbreviation:  Cancer Biomark     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-11-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101256509     Medline TA:  Cancer Biomark     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  129-37     Citation Subset:  IM    
Affiliation:
Biosensor National Special Lab, Key Lab for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
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