Plasma exosome levels in non-small-cell lung cancer: Correlation with clinicopathological features and prognostic implications

Article type: Research Article

Authors: Liu, Qingyun^{a; 1} | Xiang, Ying^{a; 1} | Yuan, Shuai^{a; 1} | Xie, Weijia^a | Li, Chengying^a | Hu, Zeyao^a | Wu, Na^a | Wu, Long^a | Yu, Zubin^{b; 2} | Bai, Li^{c; 2} | Li, Yafei^{a; 2; *}

Affiliations: [a] Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China | [b] Department of Thoracic Surgery, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China | [c] Department of Respiratory Disease, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China

Correspondence: [*] Corresponding author: Yafei Li, Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), No. 30 Gaotanyan Street, Chongqing 400038, China. Tel.: +86 23 68752293; E-mail: liyafei2008@hotmail.com.

Note: [1] These authors contributed equally to this work.

Note: [2] These authors jointly directed the project.

Abstract: BACKGROUND: Biomarker studies revealed important clinical significance of exosome for cancer patients. However, there is currently no consensus on exosome quantification methods. METHODS: Bicinchoninic acid (BCA) method, acetylcholinesterase (AChE) method and nanoparticle tracking analysis (NTA) were utilized to quantify 20 plasma exosome samples, and interrelations between these three methods were explored. Associations of plasma exosome levels with characteristics and prognosis of 208 non-small-cell lung cancer (NSCLC) patients were investigated. RESULTS: Results of the three methods for exosome quantification were significantly correlated with each other. Correlation coefficient between AChE and NTA (r= 0.79, P< 0.001) was greater than that between BCA and NTA (r= 0.64, P= 0.003). Plasma exosome levels of 208 NSCLC patients were then quantified with AChE method. Exosome level was significantly associated with tumour stage (P< 0.001) and the history of chronic obstructive pulmonary disease (P= 0.023). Cox proportional hazard analysis demonstrated that higher exosome level was independently associated with poorer overall survival (P= 0.033; hazard ratio = 1.72, 95% confidence interval: 1.05–2.83). CONCLUSIONS: Plasma exosome level correlates with tumor stage and the history of chronic obstructive pulmonary disease, and may serve as a prognostic factor for NSCLC.

Keywords: Non-small-cell lung cancer, exosome, quantification, prognosis, biomarker

DOI: 10.3233/CBM-170955

Journal: Cancer Biomarkers, vol. 22, no. 2, pp. 267-274, 2018