title: Spectral analysis of human saliva for detection of lung cancer using surface-enhanced Raman spectroscopy.
abstract: Surface-enhanced Raman spectroscopy (SERS) has been shown to be able to detect low-concentration biofluids. Saliva SERS readings of 21 lung cancer patients and 20 normal people were measured and differentiated. Most of the Raman peak intensities decrease for lung cancer patients compared with that of normal people. Those peaks were assigned to proteins and nucleic acids, which indicate a corresponding decrease of those substances in saliva. Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to reduce and discriminate between the two groups of data, and the study resulted in accuracy, sensitivity, and specificity being 80%, 78%, and 83%, respectively. In conclusion, SERS of saliva showed the ability to predict lung cancer in our experiment.
authors.affiliation: Shenyang Ligong University, School of Science, Hunnan District, Shenyang, Liaoning, China. biophy@163.com
authors.forename: Xiaozhou
authors.initials: X
authors.lastname: Li
authors.forename: Tianyue
authors.initials: T
authors.lastname: Yang
authors.forename: Junxiu
authors.initials: J
authors.lastname: Lin
mesh_terms: D000328:Adult; D000368:Aged; D000596:Amino Acids / Q000032:analysis / Q000737:chemistry; D014408:Biomarkers, Tumor / Q000032:analysis / Q000737:chemistry; D016022:Case-Control Studies; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000737:chemistry* / Q000175:diagnosis; D008297:Male; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000032:analysis / Q000737:chemistry; D009696:Nucleic Acids / Q000032:analysis / Q000737:chemistry; D025341:Principal Component Analysis; D012463:Saliva / Q000737:chemistry*; D012680:Sensitivity and Specificity; D013059:Spectrum Analysis, Raman / Q000379:methods*
chemical_list: D000596:Amino Acids; D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins; D009696:Nucleic Acids