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Lipids in surgical aerosol as diagnosis biomarkers for discrimination of lung cancer

Authors Zhang J, Zheng Q, Zhang W, Wang N, Xu J, Cheng X, Wei Y

Received 12 October 2018

Accepted for publication 23 April 2019

Published 17 June 2019 Volume 2019:11 Pages 5537—5543


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 4

Editor who approved publication: Dr Rituraj Purohit

Jianyong Zhang,1,2,* Qiaoling Zheng,1,3,* Wenxiong Zhang,1 Nanpeng Wang,2 Jianjun Xu,1 Xiaoshu Cheng,1 Yiping Wei1

1Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, People’s Republic of China; 2Department of General surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550000, People’s Republic of China; 3Jiangxi Health Vocational College, Nanchang, Jiangxi 330000, People’s Republic of China

*These authors contributed equally to this work

Introduction: Lung cancer is one of the most common malignancies worldwide, and the main effective treatment is surgical operation to cure this disease. This study assessed the feasibility of surgical aerosol for identification of lung cancer and adjacent normal tissue in surgery.
Methods: In vitro experiments, the surgical aerosol was released when the tissue sample was being cut using a standard electrosurgery handpiece. Surgical smoke was dissolved in methanol by negative-pressure suction and then get to the neutral sprayer for analysis. Multivariate analysis was performed using partial least squares (PLS) analysis in MatLab 2011.
Results: A total of 208 surgical aerosol database entries were obtained from 26 patients. In the cancerous aerosol, relative abundance (760.61, 782.39, and 789.68 m/z) was increased, while relative abundances of (756.41 m/z) was decreased compared with normal-tissue aerosol. After PLS analysis, mass–spectrometry (MS) data for the cancer aerosol showed clear differentiation from normal. Four significant peaks were identified by collision-induced dissociation experiments. The cancerous aerosol showed overexpression of phosphatidylserine (34:2), phosphatidylcholine (36:4), and triacylglycerol (46:2), while phosphatidylcholine (34:3) was decreased. Coupling PLS and extractiveelectrospray-ionization MS analysis of the surgical aerosol data of lung cancer were clearly distinguished from normal.
Conclusion: The surgical aerosol might contain biomarkers for identification of lung cancer and normal tissue.

Keywords: lung cancer, biomarker, surgical aerosol, mass spectrometry

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