| Title: | Exhaled breath analysis for lung cancer detection using ion mobility spectrometry |
| Author(s): | Handa H; Usuba A; Maddula S; Baumbach JI; Mineshita M; Miyazawa T; |
| Address: | "Division of Respiratory and Infectious Diseases, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki-shi, Kanagawa, Japan. B&S Analytik, BioMedicalCenter, Dortmund, Germany. Reutlingen University, Faculty Applied Chemistry, Reutlingen, Germany" |
| DOI: | 10.1371/journal.pone.0114555 |
| ISSN/ISBN: | 1932-6203 (Electronic) 1932-6203 (Linking) |
| Abstract: | "BACKGROUND: Conventional methods for lung cancer detection including computed tomography (CT) and bronchoscopy are expensive and invasive. Thus, there is still a need for an optimal lung cancer detection technique. METHODS: The exhaled breath of 50 patients with lung cancer histologically proven by bronchoscopic biopsy samples (32 adenocarcinomas, 10 squamous cell carcinomas, 8 small cell carcinomas), were analyzed using ion mobility spectrometry (IMS) and compared with 39 healthy volunteers. As a secondary assessment, we compared adenocarcinoma patients with and without epidermal growth factor receptor (EGFR) mutation. RESULTS: A decision tree algorithm could separate patients with lung cancer including adenocarcinoma, squamous cell carcinoma and small cell carcinoma. One hundred-fifteen separated volatile organic compound (VOC) peaks were analyzed. Peak-2 noted as n-Dodecane using the IMS database was able to separate values with a sensitivity of 70.0% and a specificity of 89.7%. Incorporating a decision tree algorithm starting with n-Dodecane, a sensitivity of 76% and specificity of 100% was achieved. Comparing VOC peaks between adenocarcinoma and healthy subjects, n-Dodecane was able to separate values with a sensitivity of 81.3% and a specificity of 89.7%. Fourteen patients positive for EGFR mutation displayed a significantly higher n-Dodecane than for the 14 patients negative for EGFR (p<0.01), with a sensitivity of 85.7% and a specificity of 78.6%. CONCLUSION: In this prospective study, VOC peak patterns using a decision tree algorithm were useful in the detection of lung cancer. Moreover, n-Dodecane analysis from adenocarcinoma patients might be useful to discriminate the EGFR mutation" |
| Keywords: | Adenocarcinoma/*diagnosis/genetics Adult Aged Alkanes/analysis Breath Tests/methods Decision Trees ErbB Receptors/*genetics Female Humans Lung Neoplasms/*diagnosis/genetics Male Middle Aged Mutation Smoking Spectrum Analysis/methods Volatile Organic Compo; |
| Notes: | "MedlineHanda, Hiroshi Usuba, Ayano Maddula, Sasidhar Baumbach, Jorg Ingo Mineshita, Masamichi Miyazawa, Teruomi eng Research Support, Non-U.S. Gov't 2014/12/10 PLoS One. 2014 Dec 9; 9(12):e114555. doi: 10.1371/journal.pone.0114555. eCollection 2014" |
