Dekel Shlomi1, Manal Abud2, Ori Liran3, Jair Bar4, Naomi Gai-Mor3, Maya Ilouze3, Amir Onn4, Alon Ben-Nun5, Hossam Haick2, Nir Peled6. 1. Pulmonary Clinic, Dan Petah-Tikva District, Clalit Health Services, Petah Tikva, Israel. 2. Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel. 3. Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer, Israel. 4. Thoracic Oncology Unit, Institute of Oncology, Sheba Medical Center, Tel Hashomer, Israel. 5. Department of General Thoracic Surgery, Chaim Sheba Medical Center, Tel Hashomer, Israel. 6. Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer, Israel; Thoracic Cancer Unit, Davidoff Cancer Center, Rabin Medical Center, Petah-Tikva, Israel. Electronic address: nirp@post.tau.ac.il.
Abstract
INTRODUCTION: 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 that 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, as patients with LC with or without the EGFR mutation, and according to their smoking status. Breath prints were recognized by nanomaterial-based sensor array, and pattern recognition methods were used. RESULTS: A total of 119 patients participated in this study, 30 patients with benign nodules and 89 patients with LC (16 with early disease and 73 with advanced disease). Patients with LC who harbored the EGFR mutation (n = 19) could be discriminated from those with wild-type EGFR (n = 34) with an accuracy of 83%, sensitivity of 79%, and specificity of 85%. Discrimination of early LC from benign nodules had 87% accuracy and positive and negative predictive values of 87.7 and 87.5% respectively. Moderate discrimination (accuracy of 76%) was found between LC of heavy smokers and that of never-smokers or distant past light smokers. CONCLUSIONS: Breath analysis could discriminate patients with LC who harbor the EGFR mutation from those with wild-type EGFR and those with benign pulmonary nodules from those patients with early LC. A 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.
INTRODUCTION: 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 that 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, as patients with LC with or without the EGFR mutation, and according to their smoking status. Breath prints were recognized by nanomaterial-based sensor array, and pattern recognition methods were used. RESULTS: A total of 119 patients participated in this study, 30 patients with benign nodules and 89 patients with LC (16 with early disease and 73 with advanced disease). Patients with LC who harbored the EGFR mutation (n = 19) could be discriminated from those with wild-type EGFR (n = 34) with an accuracy of 83%, sensitivity of 79%, and specificity of 85%. Discrimination of early LC from benign nodules had 87% accuracy and positive and negative predictive values of 87.7 and 87.5% respectively. Moderate discrimination (accuracy of 76%) was found between LC of heavy smokers and that of never-smokers or distant past light smokers. CONCLUSIONS: Breath analysis could discriminate patients with LC who harbor the EGFR mutation from those with wild-type EGFR and those with benign pulmonary nodules from those patients with early LC. A 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.
Authors: Max H M C Scheepers; Zaid Al-Difaie; Lloyd Brandts; Andrea Peeters; Bart van Grinsven; Nicole D Bouvy Journal: JAMA Netw Open Date: 2022-06-01
Authors: I G van der Sar; N Wijbenga; M E Hellemons; C C Moor; G Nakshbandi; J G J V Aerts; O C Manintveld; M S Wijsenbeek Journal: Respir Res Date: 2021-09-17