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肝细胞癌E-cadherin和ki-67蛋白表达与肝切除术预后关系的研究 被引量:3

Relationship between the expression of E-cadherin and ki-67 in hepatocellular carcinoma tissues and prognosis of the patients after hepatectomy
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摘要 目的:研究E-cadherin和ki-67在肝细胞癌(HCC)组织中的表达与HCC临床病理指标和肝切除术后患者预后的关系。方法:应用组织芯片技术和免疫组织化学检测255例HCC组织标本中的E-cadherin和ki-67的表达,并分析与临床病理指标、肿瘤1年复发率和术后总生存期的关系。结果:E-cadherin表达与肿瘤直径相关(P<0.05),阴性表达组1年复发率明显高于阳性组(P<0.05);ki-67表达与血管癌栓和肿瘤分化程度相关(P<0.05),阳性表达组与阴性表达组相比1年复发率高、总生存期短(P<0.05)。Cox比例风险模型多因素分析显示ki-67阳性表达是HCC肝切除术后独立风险因子。结论:E-cadherin阴性表达者和ki-67阳性表达者早期复发率高,ki-67阳性表达是HCC肝切除术后独立的风险因子,可作为HCC肝切除术后患者总生存期的评估指标。 Objective: To study the relationships between the expressions of E-cadherin and ki-67 in the tissues of heatocellular carcinoma(HCC)and the prognosis of HCC patients after hepatectomy as well as their clinical pathology. Methods: We examine the expressions of E-cadherin and ki-67 in 255 HCC tissues by tissue microarray and PV-6000 two-step method of immunohistochemistry and analyze the correlations between their expressions and clinical pathological data, 1-year recurrent rate and overall survival time after hepatectomy. Results: The expression of E-cadherin correlated with the tumor size and the 1-year recurrent rate of positive group was higher than that of the negative group. The expression of ki-67 correlated with vascular invasion and differentiation of the tumor, the positive group showed a higher 1-year recurrent rate and a shorter overall survival time. Multivariate Cox regression analysis indicated that the expression of ki-67 was an independent risky factor. Conclusions: The negative expression of E-cadherin and the positive expression of ki-67 predict a higher recurrent rate of early stage. The expression of ki-67 is an independent risky factor which can be used to evaluate the prognosis of patients with HCC after hepatectomy.
出处 《中国现代普通外科进展》 CAS 2010年第2期125-128,共4页 Chinese Journal of Current Advances in General Surgery
关键词 肝细胞癌 肝切除术 E-CADHERIN ki-67 预后 免疫组织化学 组织芯片 Hepatocellular carcinoma·Hepatectomy ·E-cadherin·ki-67·Prognosis·Immuno-histochemistry·Tissue microarray
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