| Title: | Predictive performance of selected breath volatile organic carbon compounds in stage 1 lung cancer |
| Author(s): | Smirnova E; Mallow C; Muschelli J; Shao Y; Thiboutot J; Lam A; Rule AM; Crainiceanu C; Yarmus L; |
| Address: | "Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA. Division of Pulmonary and Critical Care Medicine, University of Miami, Miami, FL, USA. Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA. Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Section of Interventional Pulmonology, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA" |
| ISSN/ISBN: | 2218-6751 (Print) 2226-4477 (Electronic) 2218-6751 (Linking) |
| Abstract: | "BACKGROUND: Lung cancer remains the leading cause of cancer deaths accounting for almost 25% of all cancer deaths. Breath-based volatile organic compounds (VOCs) have been studied in lung cancer but previous studies have numerous limitations. We conducted a prospective matched case to control study of the ability of preidentified VOC performance in the diagnosis of stage 1 lung cancer (S1LC). METHODS: Study participants were enrolled in a matched case to two controls study. A case was defined as a patient with biopsy-confirmed S1LC. Controls included a matched control, by risk factors, and a housemate control who resided in the same residence as the case. We included 88 cases, 88 risk-matched, and 49 housemate controls. Each participant exhaled into a Tedlar((R)) bag which was analyzed using gas chromatography-mass spectrometry. For each study participant's breath sample, the concentration of thirteen previously identified VOCs were quantified and assessed using area under the curve in the detection of lung cancer. RESULTS: Four VOCs were above the limit of detection in more than 10% of the samples. Acetoin was the only compound that was significantly associated with S1LC. Acetoin concentration below the 10(th) percentile (0.026 microg/L) in the training data had accuracy of 0.610 (sensitivity =0.649; specificity =0.583) in the test data. In multivariate logistic models, the best performing models included Acetoin alone (AUC =0.650). CONCLUSIONS: Concentration of Acetoin in exhaled breath has low discrimination performance for S1LC cases and controls, while there was not enough evidence for twelve additional published VOCs" |
| Keywords: | Lung cancer breath tests mass spectrometry volatile organic compounds (VOCs); |
| Notes: | "PubMed-not-MEDLINESmirnova, Ekaterina Mallow, Christopher Muschelli, John Shao, Yuan Thiboutot, Jeffrey Lam, Andres Rule, Ana M Crainiceanu, Ciprian Yarmus, Lonny eng China 2022/07/15 Transl Lung Cancer Res. 2022 Jun; 11(6):1009-1018. doi: 10.21037/tlcr-21-953" |
