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

• Published in: Analytical letters Vol. 44; no. 8; pp. 1473 - 1488
• Main Authors: Yi, Lunzhao, Li, Danjuan, Li, Xinhui, Deng, Jiahui, Liao, Yuping, Liang, Yizeng, Chen, Zhuchu, Xiao, Zhiqiang
• Format: Journal Article
• Language: English
• Published: Philadelphia, PA Taylor & Francis Group 01.05.2011; Taylor & Francis
• Subjects: Analytical chemistry; Chemistry; Chromatographic methods and physical methods associated with chromatography; Discriminant analysis; Exact sciences and technology; Gas chromatographic methods; Gas chromatography; Least squares method; Mathematical analysis; Metabonomics; Nasopharyngeal carcinoma; Patients; PLS-DA; Spectrometric and optical methods; Spectrometry; Spectroscopy; Strategy; Human; Discriminant analysis; Metabolite; PLS-DA; Pattern recognition; Malignant tumor; Nasopharyngeal carcinoma; Gas chromatography; PLS regression; Sensitivity; Specificity; Fingerprint method; Metabonomics; Adult; Strategy; Serum; Detection; Mass spectrometry; Cancer
• ISSN: 0003-2719; 1532-236X
• DOI: 10.1080/00032719.2010.512685

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.