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Predictive Function Of MiR-543 On Microvascular Invasion In Hepatocellular Carcinoma

Posted on:2022-08-22Degree:MasterType:Thesis
Country:ChinaCandidate:H N ZhouFull Text:PDF
GTID:2504306563452754Subject:Surgery
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Objective: To study whether mi R-543 in serum can be used as a new biological marker to predict the occurrence of MVI in patients with hepatocellular carcinoma.Methods:65 patients with primary hepatocellular carcinoma and 30 patients with hepatic hemangioma were collected as control.Quantitative detection of mi R-543 in serum of patients before operation by real-time quantitative PCR.Pathological examination was performed on the postoperative specimens of patients with liver cancer to determine whether they were complicated with MVI or not.Chi-square test was used to study the correlation between mi R-543 expression level and clinical data of patients with hepatocellular carcinoma.Using receiver operating characteristic curve(ROC curve)to analyze the significance of mi R-543 and combined predictive model in the diagnosis of MVI in patients with hepatocellular carcinoma.Results: There was significant difference in the expression of mi R-543 in serum among MVI group,M0 group and benign control group(P < 0.001).Its expression in MVI group was significantly lower than that in M0 group and control group.The expression level of mi R-543 is related to capsule invasion(P=0.041),but not to other clinicopathological factors.Logistic regression analysis showed that mi R-543,AFP,capsule invasion was an independent factor associated with MVI(p=0.003、0.043、0.045).The accuracy,sensitivity and specificity of mi R-543 prediction were 82.90%,75.00% and 73.30%,respectively.The ROC curve area(AUC)of the prediction model constructed by combining AFP and mi R-543 was 89.70%(sensitivity 80.005%,specificity 86.70%).Conclusion: The expression of mi R-543 in serum of hepatocellular carcinoma patients with MVI is decreased,mi R-543 is expected to be used as a biological marker to predict the occurrence of MVI in patients with HCC;the predictive model combined with AFP can effectively improve its ability to distinguish MVI.
Keywords/Search Tags:miR-543, Hepatocellular carcinoma, MVI, predict
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