Seldi Protein Chip Technology Study On Brain Glioma Tumor Markers In Serum

Objective:Screening different protein in serum of patients with glioma,set up diagnostic model and to test the model;Identifying the protein in database to explore the pathogenesis of glioma.Methods:Using surface-enhanced laser desorption ionization-time of flight mass spectrometry (SELDI-TOF-MS) combined with anion exchange chip(WCX-2) and protein-chip time-of-flight mass spectrometer to detect the serum of 30 cases of glioma patients and 12 healthy controls for spectral analysis of proteins;Using the Biomark Wizard Systerm software analysis the protein spectrum of serum,looking for remarkably statistic differences in protein expression;Useing Biomark Pattern Systerm software to analysis protein spectrum to set up the diagnostic model of glioma,and test the model;Identifying the protein in Uniprot protein database to explore the role that the protein played in the pathogenesis of glioma.Results:5 kinds of protein which had remarkably statistic differences were found in pretherapeutic glioma group,post-therapeutic glioma group,and healthy control group at the range of 0～50 000Da.There were 3 kinds of protein that up-expressed in tumor groups,2235.5±H,3328.5±H, 11119.8±H Da,2 kinds of protein low-expressed,7 517.3±H,12 841.7±H Da.The data of the 5 kinds of protein above-mentioned were analyzed by T test between the each two groups,11 119.8±H, 12 841.7±H Da protein content in post-therapeutic glioma group and the healthy control group had no statistical significance;2 235.5±H,3 328.5±H Da protein between these two groups had statistical significance(P＜0.05);The rest kinds of protein in each group had remarkably statistical significance (P＜0.01).Biomark Pattern Systerm software automatically selected the 7 517.3±H,11 119.8±H,12 841.7±H Da to set up a diagnostic model in order to make diagnosis of glioma.The diagnostic accuracy of the glioma was 95.8%(23/24);and the diagnostic accuracy of healthy was 100% (12/12);the total accuracy was 97.2%(35/36).Protein with MW 7 517.3±H Da was found conforming with SPHAR in UniProt protein database.and the remaining 4 kinds of protein was not related to the corresponding results.Conclusion.5 kinds of protein which had remarkably statistic differences were found by SELDI-TOF-MS and it could screen biomarkers of glioma efficiently,and the diagnostic model based on this study can be used to diagnose glioma accurately.SPHAR as a DNA crosslinking agents maybe played an important role in the semiconservative synthesis of DNA in S-phase of the cell cycle,and maybe a pathogenic factor of glioma.The remaining 4 kinds of protein was not related to the corresponding results,but they were still important in the pathogenesis of glioma.