Abstract
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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Abbreviations
- CT:
-
Computerized tomography
- MACs:
-
Malignancy-associated changes
- ROC:
-
Receiver-operating characteristic
- AUC:
-
Calculation of the area under the curve
- qPCR:
-
Quantitative polymerase chain reaction
- COPD:
-
Chronic obstructive pulmonary disease
- EGFR:
-
Epidermal growth factor receptor
- BRAF:
-
v-raf murine sarcoma viral oncogene homolog B1
- LZTS1:
-
Leucine zipper, putative tumor suppressor 1
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Acknowledgments
Supported by the University of California Tobacco Research Related Research Program (TRDRP, 20PT-0032) and DOD Lung Cancer Research Program (LC110207). DTWW is also supported by the Felix & Mildred Yip Endowed Professorship.
Conflict of interest
HX, LZ, HZ, and DTWW have patent application (US 2011/0207622 A1) pertaining to this work. DTWW is the co-founder of RNAmeTRIX. The other authors disclosed no potential conflicts of interests.
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L. Zhang and H. Xiao contributed equally to this work.
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Zhang, L., Xiao, H., Zhou, H. et al. Development of transcriptomic biomarker signature in human saliva to detect lung cancer. Cell. Mol. Life Sci. 69, 3341–3350 (2012). https://doi.org/10.1007/s00018-012-1027-0
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DOI: https://doi.org/10.1007/s00018-012-1027-0