The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion

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 p...

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Autores principales:	Ke-Cheng Chen, Shih-Wei Tsai, Xiang Zhang, Chian Zeng, Hsiao-Yu Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c816decba68a4c9088a85d1c4fd61bd6
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spelling	oai:doaj.org-article:c816decba68a4c9088a85d1c4fd61bd62021-12-02T16:32:12ZThe investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion10.1038/s41598-021-93032-y2045-2322https://doaj.org/article/c816decba68a4c9088a85d1c4fd61bd62021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93032-yhttps://doaj.org/toc/2045-2322Abstract 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 R2 of 0.95 and Q2 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.Ke-Cheng ChenShih-Wei TsaiXiang ZhangChian ZengHsiao-Yu YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ke-Cheng Chen Shih-Wei Tsai Xiang Zhang Chian Zeng Hsiao-Yu Yang The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
description	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 R2 of 0.95 and Q2 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.
format	article
author	Ke-Cheng Chen Shih-Wei Tsai Xiang Zhang Chian Zeng Hsiao-Yu Yang
author_facet	Ke-Cheng Chen Shih-Wei Tsai Xiang Zhang Chian Zeng Hsiao-Yu Yang
author_sort	Ke-Cheng Chen
title	The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
title_short	The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
title_full	The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
title_fullStr	The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
title_full_unstemmed	The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
title_sort	investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c816decba68a4c9088a85d1c4fd61bd6
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The investigation of the volatile metabolites of lung cancer from the microenvironment of malignant pleural effusion

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