1H NMR-based metabonomic and pattern recognition analysis for detection of oral squamous cell carcinoma Export

@article{zhou09, abstract = {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. 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. 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. 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.}, author = {Zhou, J. and Xu, B. and Huang, J. and Jia, X. and Xue, J. and Shi, X. and Xiao, L. and Li, W.}, citeulike-article-id = {5919337}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cca.2008.10.030}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S000989810800538X}, doi = {10.1016/j.cca.2008.10.030}, issn = {00098981}, journal = {Clinica Chimica Acta}, keywords = {biomarker, nmr, nmr\_moltwin}, month = {March}, number = {1-2}, pages = {8--13}, posted-at = {2009-10-10 12:35:19}, priority = {2}, title = {1H NMR-based metabonomic and pattern recognition analysis for detection of oral squamous cell carcinoma}, url = {http://dx.doi.org/10.1016/j.cca.2008.10.030}, volume = {401}, year = {2009} }

TY - JOUR ID - zhou09 L3 - citeulike-article-id:5919337 N2 - 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. 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. 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. 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. IS - 1-2 JF - Clinica Chimica Acta SN - 00098981 EP - 13 TI - 1H NMR-based metabonomic and pattern recognition analysis for detection of oral squamous cell carcinoma VL - 401 SP - 8 KW - biomarker KW - nmr KW - nmr_moltwin AU - Zhou, J AU - Xu, B AU - Huang, J AU - Jia, X AU - Xue, J AU - Shi, X AU - Xiao, L AU - Li, W PY - 2009/03// UR - http://dx.doi.org/10.1016/j.cca.2008.10.030 ER -