| Gastric carcinoma is one of the most common malignant tumor in our country and throughout the world.There are nearly 200 thousand new cancer cases happened in our country each year, and still be the most commonly malignant tumor which account for 17.2%of all new cancer cases.Although great progress has been made in treatment of gastric carcinoma,early diagnosis such as I stage is about 5%,which related to a survival rate of 94%.Unfortunately,most diagnosed gastric carcinomas are advanced,5-year survival rates of the advanced gastric carcinoma persons is only 30%.So how to improve the level of early stage diagnosis of gastric cancer is very important.Operation still is the first curative method of gastric carcinoma,correct preoperative staging gastric carcinoma have clinical significance in the estimation of patient's condition and prognosis,the election of therapeutic regimen and modus operandi.Currently, there are a lot of difficult problems in early diagnosis,accurate prognosis estimation and early recurrence or/and metastasis detection.In clinic,there are many detection techniques used for early diagnosis and screening,barren in sensitivity and specificity,and there are some discrepancy in TNM classification of gastric cancer,Since no existing tumor marker of the presence of gastric carcinoma fuifills the criteria for effective early detection or disease monitoring,the identification of specific gastric carcinoma-associated proteins would significantly advance the diagnosis,and possibly the treatment of gastric carcinoma.With the high speed development of molecule biology,science research experienced tremendous transformation from genome to proteome.Surface-enhanced laser desorption/ionization(SELDI) has been discovered in recent years which makes great contribution to development of the building proteomic patterns in serum of gastric carcinoma,which may help us discover new and better tumor biomarker for early stage diagnosis and classification of tumor.Methods:1,the serum proteomic fingerprints of sera from 50 gastric cancer patients who first time visit and be diagnosed by pathology and 16 healthy people were detected by SELDI-TOF-MS and CM 10 proteinchip.The detected data were analyzed by Biomarker Wizard Software and the idio-proteomic fingerprint of gastric carcinoma models were developed by BPS(biomarker pattern software).2,SELDI-TOF-MS and CM10 proteinchip was used to detect the serum protein fingerprint of 63 preoperative patients with gastric cancer.According to postoperative pathologic diagnosis, all the patients were divided into 4 groups:â… stage group,â…¡stage group,â…¢stage group andâ…£stage group.And further more,we detected the staging serum fingerprint in gastric carcinoma group.The detected data were analyzed by Biomarker Wizard Software and the predictive patterns were developed by Biomarker Pattern Software.Results:1,Compared with healthy people group,there were 34 significant different protein peaks in gastric carcinoma group.And the diagnosis model composed by 6 proteins(M/Z values were 6016,6744,2822,4474,7892 and 3242,respectively) could classify the 2 groups correctly.In test model,the sensitivity and specificity was 96%and 93.75%,the accuracy was 95.45%.2,Compared withâ… stage gastric cancer people group,there were 19 significant differential protein peaks inâ…¡stage gastric cancer people group,and the diagnosis modelâ… composed by 6 proteins(M/Z values were 4596,1870,9181,9332,9408 and 9546, respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 88.89%and 91.67%,the accuracy was 90.48%;there were 25 significant differential protein peaks inâ…¢stage gastric cancer people group,and the diagnosis modelâ…¡composed by 5 proteins(M/Z values were 2586,3353,4298,3108 and 2543,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 100%and 100%,the accuracy was 100%;there were 22 significant differential protein peaks inâ…£stage gastric cancer people group,and the diagnosis modelâ…¢composed by 3 proteins(M/Z values were 4659,9332 and 2543,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 88.89%and 82.35%,the accuracy was 84.62%.Compared withâ…¡stage gastric cancer people group,there were 9 significant differential protein peaks inâ…¢stage gastric cancer people group,and the diagnosis modelâ…£composed by 3 proteins(M/Z values were 4443,7910 and 7765,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 75%and 92%,the accuracy was 86.49%;there were 8 significant differential protein peaks inâ…£stage gastric cancer people group,and the diagnosis modelâ…¤composed by 5 proteins(M/Z values were 2543,3973,3242,2951 and 1411,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 83.33%and 100%,the accuracy was 93.10%.Compared withâ…¢stage gastric cancer people group,there were 10 significant differential protein peaks inâ…£stage gastric cancer people group,and the diagnosis modelâ…¥composed by 2 proteins(M/Z values were 4057 and 2934,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 96%and 52.94%,the accuracy was 78.57%.Compared withâ… /â…¡stage gastric cancer people group,there were 15 significant differential protein peaks inâ…¢/â…£stage gastric cancer people group,and the diagnosis modelâ…¦composed by 3 proteins(M/Z values were 2543,1453 and 2868,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 95.24% and 73.81%,the accuracy was 80.95%.Compared withâ… /â…¡/â…¢stage gastric cancer people group,there were 10 significant differential protein peaks inâ…£stage gastric cancer people group, and the diagnosis modelâ…§composed by 4 proteins(M/Z values were 4659,4091,13937 and 2934,respectively) could classify the 2 groups correctly,in test model,the sensitivity and specificity was 89.13%and 100%,the accuracy was 92.63%.Compared withâ… stage gastric cancer people group,there were 21 significant differential protein peaks inâ…¡/â…¢/â…£stage gastric cancer people group,and the diagnosis modelâ…¨composed by 6 proteins(M/Z values were, 4596,9332,9181,9408,9546 and 4091,respectively) could classify the 2 groups correctly, in test model,the sensitivity and specificity was 77.78%and 90.74%,the accuracy was 88.89%.Conclusion:1,SELDI-TOF-MS method show features such as microcontent,fast and high-resolution etc.It could be utilized to analyze the serum proteomic fingerprint of gastric cancer patients and screen significative proteins and develop auxiliary diagnosis model may be used to diagnose gastric carcinoma.2,Via comparative proteomics research in the serum of gastric carcinoma preoperative patients by SELDI-TOF-MS,exactly classification of preoperative gastric carcinoma can be quickly and exactly diagnosed by Serum Proteomic Patterns with high sensitivity and specificity, and The novel technology for the classification of gastric carcinoma is significant platform. |
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