| Title: | The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion |
| Author(s): | Chen KC; Tsai SW; Zhang X; Zeng C; Yang HY; |
| Address: | "Division of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan. National Taiwan University College of Medicine, Taipei, Taiwan. Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, No. 17 Xuzhou Road, Taipei, 10055, Taiwan. Department of Chemistry, University of Louisville, Louisville, KY, USA. Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, No. 17 Xuzhou Road, Taipei, 10055, Taiwan. hyang@ntu.edu.tw. Department of Public Health, National Taiwan University College of Public Health, Taipei, Taiwan. hyang@ntu.edu.tw. Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan. hyang@ntu.edu.tw" |
| DOI: | 10.1038/s41598-021-93032-y |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "For malignant pleural effusions, pleural fluid cytology is a diagnostic method, but sensitivity is low. The pleural fluid contains metabolites directly released from cancer cells. The objective of this study was to diagnose lung cancer with malignant pleural effusion using the volatilomic profiling method. We recruited lung cancer patients with malignant pleural effusion and patients with nonmalignant diseases with pleural effusion as controls. We analyzed the headspace air of the pleural effusion by gas chromatography-mass spectrometry. We used partial least squares discriminant analysis (PLS-DA) to identify metabolites and the support vector machine (SVM) to establish the prediction model. We split data into a training set (80%) and a testing set (20%) to validate the accuracy. A total of 68 subjects were included in the final analysis. The PLS-DA showed high discrimination with an R(2) of 0.95 and Q(2) of 0.58. The accuracy of the SVM in the test set was 0.93 (95% CI 0.66, 0.998), the sensitivity was 83%, the specificity was 100%, and kappa was 0.85, and the area under the receiver operating characteristic curve was 0.96 (95% CI 0.86, 1.00). Volatile metabolites of pleural effusion might be used in patients with cytology-negative pleural effusion to rule out malignancy" |
| Keywords: | "Aged Aged, 80 and over Female Gas Chromatography-Mass Spectrometry Humans Lung Neoplasms/diagnosis/*metabolism Male Middle Aged Pleural Effusion, Malignant/diagnosis/*metabolism Volatile Organic Compounds/*metabolism;" |
| Notes: | "MedlineChen, Ke-Cheng Tsai, Shih-Wei Zhang, Xiang Zeng, Chian Yang, Hsiao-Yu eng Clinical Trial Research Support, Non-U.S. Gov't England 2021/07/02 Sci Rep. 2021 Jun 30; 11(1):13585. doi: 10.1038/s41598-021-93032-y" |
