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作 者:李东复[1] 陈永胜[1] 孙梅[2] 王亮[1] 卢琳琳[1]
机构地区:[1]吉林大学第二医院消化内科,吉林长春130041 [2]吉林大学第二医院病理科,吉林长春130041
出 处:《吉林大学学报(医学版)》2005年第4期588-591,共4页Journal of Jilin University:Medicine Edition
基 金:吉林省科技厅科学基金资助课题(9905741)
摘 要:目的:探讨胃癌组织p53、cerbB2、p21和nm23联合基因产物表达检测对胃癌诊断、治疗及预后判断的价值。方法:应用免疫组化技术对123例手术切除胃癌组织标本中p53、cerbB2、p21和nm23基因产物表达进行测定。结果:高分化胃癌组p53表达阳性率38.0%(27/71),cerbB2为59.2%(42/71),p21为39.4%(28/711),nm23为71.8%(51/71),低分化胃癌组4种基因表达阳性率分别为46.2%(24/52)、36.5%(19/52)、69.2%(24/52)和34.6%(18/52);在非胃癌组织(胃、十二指肠溃疡、胃息肉、重度不典型增生胃炎胃镜标本)未见cerbB2、p21、nm23基因表达。p53、cerbB2、p21的表达与胃癌的分化程度、肿瘤浸润深度、肿瘤转移程度呈正相关(r=0.53,r=0.67,r=0.48,P<0.05);nm23的表达与胃癌的分化程度、肿瘤浸润深度、肿瘤转移程度呈负相关(r=-0.36,P<0.05)。结论:胃癌组织p53、cerbB2、p21、nm23基因表达检测在胃良恶性肿瘤鉴别、非手术临床分期的判断及指导临床治疗等方面具有一定价值,多基因表达检测对胃癌预后判断明显优于单基因表达检测。Objective To study the relationships between prognosis and expressions of p53,c-erbB-2, p21 and nm23 genes in gastric cancer tissue specimens and evaluate their values in diagnosis and treatment of gastric cancer. Methods The expressions of p53, c-erbB-2, p21 and nm23 were detected by immunohistochemical method in 123 surgically resected specimens. Results The positive expression rates of p53,c-erbB-2,p21 and nm23 in well-differentiation gastric cancer group were 38.0%(27/71), 59.2%(42/71), 39.4%(28/711) and 71.8%(51/71), respectively;the positive rates in poor-differentiation group were 46.2%(24/52),36.5%(19/52), 69.2%(24/52) and 34.6%(18/52),respectively.Expressions of p53,c-erbB-2,p21 and nm23 were not observed in non-tumor endoscopic biopsy specimens. The expressions of p53,c-erbB-2 ,p21 were positively correlated with grade of tumor differentiation ,the depth of tumor invasion and clinical different stages (r=0.53, r=0.67, r=0.48, P<0.05), and the expression of nm23 was negatively correlated with grade of tumor differentiation,the depth of tumor invasion and clinical different stages (r=-0.36, P<0.05).Conclusion Determination of p53, c-erbB-2, p21 and nm23 might be useful in diagnosis and treatment of gastric cancer, differentiating benign and malignant tumor, clinical stages and better than single gene in predicting prognosis of gastric cancer.
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