title: 1H NMR-based metabonomic and pattern recognition analysis for detection of oral squamous cell carcinoma.
abstract: 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.
authors.affiliation: State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, PR China.
authors.forename: Jinglin
authors.initials: J
authors.lastname: Zhou
authors.forename: Bin
authors.initials: B
authors.lastname: Xu
authors.forename: Jing
authors.initials: J
authors.lastname: Huang
authors.forename: Xiangming
authors.initials: X
authors.lastname: Jia
authors.forename: Jing
authors.initials: J
authors.lastname: Xue
authors.forename: Xinchang
authors.initials: X
authors.lastname: Shi
authors.forename: Liying
authors.initials: L
authors.lastname: Xiao
authors.forename: Wei
authors.initials: W
authors.lastname: Li
mesh_terms: 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