SELDI-TOF MS profiling of serum for detection of nasopharyngeal carcinoma

Journal of Experimental & Clinical Cancer Research - 2009
Yiyuan Huang1, Chao Xuan1, Beibei Zhang1, Ming Liao1, Kaifeng Deng1, Miao He1, Jinmin Zhao2
1Guangxi Medical Scientific Research Center, Guangxi Medical University, Nanning, China
2Department of Orthopedics Trauma and Hand Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, China

Tóm tắt

Abstract Background No satisfactory biomarkers are currently available to screen for nasopharyngeal carcinoma (NPC). We have developed and evaluated surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) for detection and analysis of multiple proteins for distinguishing individuals with NPC from control individuals. Methods A preliminary learning set and a classification tree of spectra derived from 24 patients with NPC and a group of 24 noncancer controls were used to develop a proteomic model that discriminated cancer from noncancer effectively. Then, the validity of the classification tree was challenged with a blind test set, which included another 20 patients with NPC and 12 noncancer controls. Results A panel of 3 biomarkers ranging m/z 3–20 k was selected to establish Decision Tree model by BPS with sensitivity of 91.66% and specificity of 95.83%. The ability to detect NPC patients was evaluated, a sensitivity of 95.0% and specificity of 83.33% were validated in blind testing set. Conclusion This high-flux proteomic classification system will provide a highly accurate and innovative approach for the detection/diagnosis of NPC.

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Journal of Experimental & Clinical Cancer Research

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