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Accueil Detection of Lung Cancer and EGFR Mutation by Electronic Nose System.
Detection of Lung Cancer and EGFR Mutation by Electronic Nose System. Imprimer Envoyer
Dimanche, 16 Juillet 2017 07:24

BACKGROUND: Early detection of lung cancer (LC) has been well established as a significant key point in patient survival and prognosis. New highly sensitive nanoarray sensors for exhaled Volatile Organic Compounds (VOCs) have been developed and coupled with powerful statistical programs may be used when diseases such as LC are suspected. Detection of genetic aberration mutation by nanoarray sensors is the next target.
METHODS: Breath samples were taken from patients who were evaluated for suspicious pulmonary lesions. Patients were classified as those with benign nodules, LC patients with or without the EGFR mutation, and according to their smoking status. 'Breath-prints' were recognized by nanomaterial based sensor array (NA-NOSE), and pattern recognition methods were used.
RESULTS: A total of 119 patients participated in this study, 30 patients with benign nodules and 89 LC patients (n=16 with early and n=73 with advanced disease). . LC patients who harbor the EGFR mutation (n=19) could be discriminated from wild-type (n=34) with an accuracy of 83%, a sensitivity of 79% and a specificity of 85%. Discrimination of early LC from benign nodules had 87% accuracy and positive and negative predictive values (PPV and NPV) of 87.7 and 87.5% respectively. Moderate discrimination (accuracy of 76%) was found between LC of heavy smokers and never or distant past light smokers.
CONCLUSION: Breath analysis could discriminate LC patients who harbor the EGFR mutation from wild type and those with benign pulmonary nodules from early LC patients. Positive 'breath-print' for the EGFR mutation may be used in treatment decisions if tissue sampling does not provide adequate material for definitive mutation analysis.

J Thorac Oncol. 2017 Jul 11;:
Authors: Shlomi D, Abud M, Liran O, Bar J, Gai-Mor N, Ilouze M, Onn A, Ben-Nun A, Haick H, Peled N
 

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