肝癌患者糖脂代謝基因突變及術(shù)后生存預(yù)測(cè)模型的研究
[Abstract]:Objective: Primary liver cancer is one of the most common malignant tumors, more than 90% of which are hepatocellular carcinoma (HCC). Hepatocellular carcinoma (HCC) has the characteristics of high malignancy, rapid progression, easy recurrence and metastasis. Although there are many treatments for HCC, the overall curative effect is still unsatisfactory. On the basis of this, it is a typical malignant tumor with long-term chronic inflammation. Most of the patients are in the middle and advanced stage, less than 20% of them have been resected surgically, which is suitable for local ablation. In recent years, the relationship between metabolic abnormalities and tumors has been paid more and more attention by researchers. Xinjiang is a high prevalence area of metabolic factors, and the incidence of hepatocellular carcinoma in this region has certain characteristics. The metabolic susceptibility base of hepatocellular carcinoma has been found. It not only helps to analyze the pathogenesis of HCC, but also provides theoretical basis and biological targets for individual risk prediction, early prevention, individualized medical treatment and screening of new and high-effective drugs. Methods: From October 2009 to September 2013, patients with cirrhosis and hepatocellular carcinoma admitted to the First Affiliated Hospital of Xinjiang Medical University were selected as the study subjects, patients with cirrhosis as the control group and patients with hepatocellular carcinoma on the basis of cirrhosis as the case group. Tag SNP was selected to detect the glycolipid metabolism genes by SnaPshot method. The purpose of this study was to evaluate the relationship between the abnormal glycolipid metabolism genes and the risk of liver cirrhosis carcinogenesis on the premise of the known risk factors of liver cancer from the metabolic point of view. The clinical data of 201 patients with hepatocellular carcinoma who underwent resection and radical operation in a Affiliated Hospital were retrospectively analyzed. The risk index model of hepatitis B related hepatocellular carcinoma was established by statistical method. The model was used to predict the risk factors of survival of patients with hepatocellular carcinoma after radical operation for 5 years. In the first part of this study, genotypes of three marker loci of the GCKR gene associated with diabetes mellitus were detected in the two groups, in order to study the association between the polymorphism of the GCKR gene associated with diabetes mellitus and the risk of liver cirrhosis and carcinogenesis. In the second part of this study, we selected tagSNP and used SnaPshot method to detect the genotype distribution of 10 tag loci of PNPLA3 (amyloid phospholipase region 3 protein) gene between the two groups in order to study the pathogenesis of non-alcoholic fatty liver disease and non-alcoholic fatty hepatitis. Risk-related polymorphisms of the PNPLA3 gene are not associated with liver cirrhosis carcinogenesis in this study population. Risk-related studies based on this gene for liver steatosis have been reported and can be used as a research direction in the future. The third part is based on the unsatisfactory living condition of the patients after hepatectomy. The hepatitis B virus carriers account for a large proportion in this area. The PI model and the critical value of 3.38 were established to evaluate the survival of the patients with hepatitis B-related liver cancer after hepatectomy. Conclusion: The two glycolipid metabolism-related gene polymorphisms detected in this study may not be associated with the risk of cirrhosis and canceration in the local population; PI model is helpful in predicting the risk of death in patients undergoing radical hepatectomy within 5 years, and mention It is of great value to predict and evaluate the survival of patients with hepatitis B-related liver cancer after operation, and it has important clinical significance to select reasonable treatment methods to improve the survival rate of patients.
【學(xué)位授予單位】:新疆醫(yī)科大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2016
【分類號(hào)】:R735.7
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