期刊
CELLULAR AND MOLECULAR LIFE SCIENCES
卷 69, 期 19, 页码 3341-3350出版社
SPRINGER BASEL AG
DOI: 10.1007/s00018-012-1027-0
关键词
Human saliva; Transcriptomic; Lung cancer; Biomarker signature; Early detection
资金
- University of California Tobacco Research Related Research Program (TRDRP) [20PT-0032]
- DOD Lung Cancer Research Program [LC110207]
- Felix & Mildred Yip Endowed Professorship
- CDMRP [LC110207, 545914] Funding Source: Federal RePORTER
Lung cancer is the leading cause of cancer death for both men and women worldwide. Since most of the symptoms found for lung cancer are nonspecific, diagnosis is mostly done at late and progressed stage with the consecutive poor therapy outcome. Effective early detection techniques are sorely needed. The emerging field of salivary diagnostics could provide scientifically credible, easy-to-use, non-invasive and cost-effective detection methods. Recent advances have allowed us to develop discriminatory salivary biomarkers for a variety of diseases from oral to systematic diseases. In this study, salivary transcriptomes of lung cancer patients were profiled and led to the discovery and pre-validation of seven highly discriminatory transcriptomic salivary biomarkers (BRAF, CCNI, EGRF, FGF19, FRS2, GREB1, and LZTS1). The logistic regression model combining five of the mRNA biomarkers (CCNI, EGFR, FGF19, FRS2, and GREB1) could differentiate lung cancer patients from normal control subjects, yielding AUC value of 0.925 with 93.75 % sensitivity and 82.81 % specificity in the pre-validation sample set. These salivary mRNA biomarkers possess the discriminatory power for the detection of lung cancer. This report provides the proof of concept of salivary biomarkers for the non-invasive detection of the systematic disease. These results poised the salivary biomarkers for the initiation of a multi-center validation in a definitive clinical context.
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