1H NMR-based metabonomic and pattern recognition analysis for detection of oral squamous cell carcinoma.
BACKGROUND
Metabonomic analysis has been increasingly used to monitor metabolic abnormalities in cells and their microenvironment in order to detect the cancer markers recently. We evaluated the feasibility of applying (1)H nuclear magnetic resonance ((1)H NMR) based metabonomic method in the early detection of the differences in the plasma from 3 groups, which were patients with oral squamous cell carcinoma (OSCC), patients with oral leukoplakia (OLK), and the healthy control group.


METHODS
(1)H NMR spectra were obtained from human plasma samples prior to spectral analysis. The obtained data were processed by both the unsupervised principal component analysis (PCA) and the supervised partial least squares discriminant analysis (PLS-DA) to find out the differences among the three groups.


RESULTS
PLS-DA analysis has revealed a good model to detect the NMR data that can differentiate the OSCC patients from the OLK patients and the controls using a test set.


CONCLUSIONS
The results indicated that the (1)H NMR-based metabonomic approach is a feasible and efficient method for differentiating the OSCC patient's plasma from the healthy controls. As a potential novel strategy and a more convenient technique, it deserves a further evaluation for an early detection of oral cancer.
Zhou
Jinglin
J
State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, PR China.
Xu
Bin
B
Huang
Jing
J
Jia
Xiangming
X
Xue
Jing
J
Shi
Xinchang
X
Xiao
Liying
L
Li
Wei
W
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002294:Carcinoma, Squamous Cell / Q000097:blood / Q000175:diagnosis* / Q000473:pathology; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D007972:Leukoplakia, Oral / Q000097:blood / Q000175:diagnosis* / Q000473:pathology; D008297:Male; D055432:Metabolomics / Q000379:methods*; D008875:Middle Aged; D009062:Mouth Neoplasms / Q000097:blood / Q000175:diagnosis* / Q000473:pathology; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D025341:Principal Component Analysis