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Serum proteomic spectra of esophagial carcinoma patients and a corresponding esophagial carcinoma diagnostic model
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Abstract:
Objective:To examine the serum proteomic spectra of human esophagial carcinoma by matrixassisted laser desorption/ionization timeofflight mass spectrometry (MALDITOF MS), so as to set up a diagnostic model of esophagial carcinoma and to investigate its clinical value. Methods: Thirtytwo esophagial carcinoma patients and 28 healthy controls were obtained from Fourth Affiliated Hospital of Hebei Medical University during May to September of 2008. Serum protein was extracted by weak cation exchange (WCX) protein chip system, and proteomic spectra was examined by MALDITOF MS. The obtained data were analyzed by ZUCIprotein chip data analyze system (ZUCIPCDAS) and an esophagial carcinoma diagnostic model was established by genetic arithmetic (GA) combined support vector machine (SVM). The above 60 samples were randomly divided into training set and blinding test set, with training set including 21 esophagial carcinoma patients and 19 healthy controls and blinding test set including 11 esophagial carcinoma patients and 9 healthy controls, so as to examine the specificity and sensitivity of this diagnostic model. Results: Serum proteomic spectra of esophagial carcinoma patients and healthy controls were obtained by MALDITOF MS, and m/z (mass to charge) peaks of 44 differential proteins were obtained after analyzed by ZUCIPCDAS software package (P<0.05). From which, 6 differential proteins (whose m/z peaks being 2 210, 2 864, 6 634, 4 068, 2 083 and 8 131, respectively) were selected to establish a diagnostic model of esophagial carcinoma. Specificity and sensitivity of this model in diagnosing esophagial carcinoma was 88.9% and 100%, respectively. Conclusion: An esophagial carcinoma diagnostic model has been established from serum proteomic spectra of esophagial carcinoma by MALDITOF MS and has high sensitivity and specificity to diagnose esophagial carcinoma.
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Project Supported:
Supported by the Key Science and Technology Research Project of Chinese Technology Administration（No. 2006BAI02A07）
Clc Number:
