![]() ![]() Volatilome contains all volatile organic compounds (VOCs) produced by changes in metabolic processes caused by disease 3. Among them, volatilome has attracted more attention in the metabolomics research of lung cancer. More and more studies have attempted to identify specific metabolites, which can help study various metabolic pathways affected by tumors, thereby developing effective diagnostic and therapeutic strategies 2. ![]() Lung cancer is the leading cause of cancer death worldwide, accounting for an estimated 1.80 million deaths in 2020 1. Volatile metabolites of pleural effusion might be used in patients with cytology-negative pleural effusion to rule out malignancy. 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). The PLS-DA showed high discrimination with an R 2 of 0.95 and Q 2 of 0.58. A total of 68 subjects were included in the final analysis. ![]() We split data into a training set (80%) and a testing set (20%) to validate the accuracy. We used partial least squares discriminant analysis (PLS-DA) to identify metabolites and the support vector machine (SVM) to establish the prediction model. We analyzed the headspace air of the pleural effusion by gas chromatography-mass spectrometry. We recruited lung cancer patients with malignant pleural effusion and patients with nonmalignant diseases with pleural effusion as controls. The objective of this study was to diagnose lung cancer with malignant pleural effusion using the volatilomic profiling method. The pleural fluid contains metabolites directly released from cancer cells. For malignant pleural effusions, pleural fluid cytology is a diagnostic method, but sensitivity is low. ![]()
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