Quantitative Proteome Analysis Of Gastric Cancer Serum And Foundation Of Decision Tree Model Of Differentially Expressed Proteins By Mass Spectrometry

Based on the analysis of serum proteome,this study is designed to find out the "marker" protein of gastric cancer.We have found SELDI profiling in sera of patients with gastric cancer and benign gastric lesion compared to normal volunteers by SELDI TOF-MS and IMAC30 Cu²⁺ proteinchip.Differences in peek morphology and intensity were observed among groups to set up decision tree classification models.Data of cross validation and blindness test have proved the advantage of accuracy compared with traditional methods. Then,we have compred the proteome of gastric cancer,gastric ulcer and normal volunteers by 2D-DIGE,and found out the differences of protein expression.There are 14 proteins alltogether.9 of them were detected and identificated by MALDI-TOF/TOF-MS and data base searching.These proteins of difference expression might be the potential tumor marker and are related to the development,and patho-process of gastric cancer.