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Objective: (1) clinical epidemiological methods used to explore the major risk factors of gastric cancer, understanding etiology model for effective preventive measures to provide a scientific basis. (2) use of laboratory studies and epidemiological status of Meta-analysis Method of EB EB virus-related virus infection in the development of gastric cancer role. Research oncogenes, tumor suppressor gene on gastric cancer development, prognosis degree of risk for gastric cancer study looking at the genetic level theory. Materials and Methods: (1) Select January 1, 2000 -2003 on July 31, Zhongnan Hospital of Wuhan University, Wuhan Army General Hospital for treatment of gastric cancer patients, a total of 150 cases. Exclusion of other parts of the inclusion of cases of gastric cancer metastasis. Diagnosis is based on: CT with lesions and laboratory parameters: AFP, ALT, AST, combined with clinical observation, in some cases also by the stomach tissue biopsy. Select the same period, the same hospital as a control population of patients with hepatocellular carcinoma. First, according to the choice of control group design principles, according to simple random sampling method in the control population to pathology, CT, biochemical indicators of liver cancer diagnosed in 150 patients were randomly selected to form the control group, the formation of a completely randomized design samples. Investigation should include: general demographic characteristics (age, sex, occupation, education level, marital status, etc.), hepatitis B history, smoking (smoking status, duration of smoking, quantity, etc.), drinking (whether drinking, drinking time, quantity etc.), tea history (whether tea and tea type and frequency), family history of cancer, dietary conditions (including the usual diet and food intake, etc.), a total of more than 70 indicators. Laboratory tests, including HP antibodies, blood was measured by ELISA in serum HBsAg, HBs-Ab, HBeAg, HBe-Ab, HBcAg, HBc-Ab, anti-HCV. In this study, SPSS11.5 for windows and SAS 6.02 for windows statistical package, the sample univariate analysis was performed first, and then the univariate analysis was significantly less than the 0.10 level factors by stepwise regression analysis (stepwise), fitting Gastric unconditional and conditional Logistic regression model to calculate the OR values ??of each factor and 95% confidence intervals. (2) a comprehensive collection of January 1994 to December 2004 biomedical journals published abroad about P 53 gene, P 21 RAS sup> EB virus gene and the relationship between literature and gastric cancer, through the microcomputer full-text data retrieval Chinese scientific journals
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