[1H-MRS metabonomic analysis of plasma samples of esophageal cancer patients based on different pattern recognition].
OBJECTIVE
To analyze the metabonomic (1)H-MRS of plasma samples from patients with esophageal cancer and healthy controls applying different pattern recognition methods, and to explore the potential of application of (1)H-MR-based metabonomics in clinical research.


METHODS
(1)H-MR was performed on plasma samples from 109 EC patients and 50 health controls to analyze the metabonomic variation between EC patients and healthy subjects and the corresponding (1)H-MRS were recorded on Varian Unity ANOVA 600 MHz to perform principal components analysis (PCA), partial least squares discriminant analysis (PLS-DA), orthogonal partial least squares discriminant analysis (OPLS-DA), respectively.


RESULTS
OPLS-DA analysis could correctly separate almost all the plasma samples from EC patients and health controls, better than both the PCA and PLS-DA. The plasma levels of leucine, alanine, isoleucine, valine, glycoprotein, lactate, acetone, acetate, choline, isobutyrate, unsaturated lipid, VLDL, LDL, 1-methylhistidine were significantly decreased in EC patients (r total > 0.27, P < 0.05), while that of dimethylamine, α-glucose, β-glucose, citric acid increased in the EC patients (r total < -0.27, P < 0.05).


CONCLUSIONS
The analysis of metabonomic (1)H-MRS of plasma samples by OPLS-DA method can eliminate the influence of non-experimental factors and decrease the heterogeneity of samples. It is useful and of great potential for application in clinical diagnosis and research of esophageal cancer.
Esophageal Cancer Institute, First Teaching Hospital of Xinjiang Medical University, Urumqi 830054, China.
Hasim
H
Ayshamgul
Mamtimin
M
Batur
Sheyhidin
S
Ilyar
D000328:Adult; D000368:Aged; D001774:Blood Chemical Analysis; D002681:China / Q000208:ethnology; D016002:Discriminant Analysis; D004938:Esophageal Neoplasms / Q000097:blood*; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D009682:Magnetic Resonance Spectroscopy; D008297:Male; D055432:Metabolomics; D008875:Middle Aged; D010949:Plasma / Q000378:metabolism*; D025341:Principal Component Analysis