期刊
BBA CLINICAL
卷 7, 期 -, 页码 97-104出版社
ELSEVIER
DOI: 10.1016/j.bbacli.2017.03.001
关键词
BALF; Biomarkers; Mass spectrometry; Plasma; Proteomics; ELISA
资金
- Science Foundation Ireland [12/RI/2346(3)]
- Irish Higher Education Authority
- Science Foundation Ireland (SFI) [12/RI/2346 (3)] Funding Source: Science Foundation Ireland (SFI)
Background: Lung cancer is the leading cause of cancer-relatedmortality in both men and women throughout the world. The need to detect lung cancer at an early, potentially curable stage, is essential and may reduce mortality by 20%. The aim of this study was to identify distinct proteomic profiles in bronchoalveolar fluid (BALF) and plasma that are able to discriminate individuals with benign disease from those with non-small cell lung cancer (NSCLC). Methods: Using label-free mass spectrometry analysis of BALF during discovery-phase analysis, a significant number of proteins were found to have different abundance levels when comparing control to adenocarcinoma (AD) or squamous cell lung carcinoma (SqCC). Validation of candidate biomarkers identified in BALF was performed in a larger cohort of plasma samples by detection with enzyme-linked immunoassay. Results: Four proteins (Cystatin-C, TIMP-1, Lipocalin-2 and HSP70/HSPA1A) were selected as a representative group from discovery phase mass spectrometry BALF analysis. Plasma levels of TIMP-1, Lipocalin-2 and Cystatin-C were found to be significantly elevated in AD and SqCC compared to control. Conclusion: The results presented in this study indicate that BALF is an important proximal biofluid for the discovery and identification of candidate lung cancer biomarkers. General significance: There is good correlation between the trend of protein abundance levels in BALF and that of plasma which validates this approach to develop a blood biomarker to aid lung cancer diagnosis, particularly in the era of lung cancer screening. The protein signatures identified also provide insight into the molecular mechanisms associated with lung malignancy. (C) 2017 The Authors. Published by Elsevier B.V.
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