Serum Metabolic Fingerprinting to Detect Human Nasopharyngeal Carcinoma Based on Gas Chromatography-Mass Spectrometry and Partial Least Squares-Linear Discriminant Analysis

In this paper, metabolic fingerprints were obtained from 102 nasopharyngeal carcinoma (NPC) patients and 107 healthy adults by gas chromatography-mass spectrometry (GC/MS). Partial least squares-discriminant analysis (PLS-DA) has revealed a pattern recognition discriminating the patients from controls, which sensitivity is 89.72% (96/107) and specificity is 85.29% (87/102). Furthermore, double-blind experiment was carried out and satisfactory results were obtained (total correct rate 87.30%). In addition, metabolites that most strongly influence this separation were obtained. The results indicated that a metabonomic approach is feasible and efficient and deserves further evaluation as a potential novel strategy for the detection of nasopharyngeal carcinoma.

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