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肺癌组织中PCNA、p63和p53蛋白的表达及临床意义
引用本文:徐 燕,蔡 媛,马 宁,赵 彬,张亚妮,何蕾蕾.肺癌组织中PCNA、p63和p53蛋白的表达及临床意义[J].现代生物医学进展,2017,17(10):1924-1926.
作者姓名:徐 燕  蔡 媛  马 宁  赵 彬  张亚妮  何蕾蕾
作者单位:宝鸡市中心医院病理科 陕西 宝鸡 721008
摘    要:目的:检测蛋白增殖细胞核抗原(PCNA)、p63和p53在肺癌组织中的表达情况,以探讨三者在肺癌的发生、发展中的生物学作用和临床意义。方法:选取195例肺癌组织(其中57例有癌旁组织),应用组织芯片技术和免疫组织化学方法观察三种蛋白的表达情况,并研究三者之间及其与临床病理参数的关系。结果:PCNA、p63和p53蛋白在肺癌组织中的阳性表达率分别为96.41%、38.46%及58.46%,但三者在癌旁组织中均无表达,差异有统计学意义(均P0.05);在肺癌组织中,PCNA、p63和p53蛋白的表达情况均与组织分型有关(P0.05),且PCNA、p53蛋白表达与分化程度有关(P0.05),分化越差,表达越高;p53表达与PCNA表达呈正相关(r=0.352,P=0.043),p63与p53、PCNA的表达不相关(P0.05)。结论:肺癌组织中PCNA、p63和p53蛋白的表达升高,三者均在肺癌的发生、发展中发挥着重要作用,并且临床可通过检测三者的蛋白水平,作为鉴别肺鳞状细胞癌与其他类型癌的重要参考指标,为病理诊断提供依据。

关 键 词:肺肿瘤  PCNA    p63  p53  组织芯片
收稿时间:2016/8/31 0:00:00
修稿时间:2016/9/20 0:00:00

Expression and Clinical Implication of PCNA, p63 and p53 in Lung Cancers
Abstract:ABSTRACT Objective: To study the expression of proliferating cell nuclear antigen (PCNA), p63 and p53 in lung cancer tissues and to gain an insight into their biological significance in carcinogenesis of lung neoplasms. Methods: 195 formalin-fixed,paraffin-embedded specimens of lung cancers and 57 matched surrounding tissue specimens as control were examined for PCNA, p63 and p53 protein expression by immunohistochemistry using tissue microarray. And the relationship between expressions of PCNA, p63, p53 and the clinicopathologic characteristics was analyzed. Results: The positivity of PCNA, p63, p53 in lung cancer was 96.41%, 38.46% and 58.46%, however, there were no expressions in surrounding tissues (P<0.05). The correlations between the expression of PCNA, p63, p53 and the tissue type, between the expression of PCNA, p63 and differentiation were confirmed, and the worse the differentiation, the higher the expression (P<0.05). Besides there was a positive correlation between the p53 and PCNA (r=0.352, P=0.043), no correlation between the p63 and p53, PCNA. Conclusion: The expression of PCNA,p63 and p53 are significantly increased in lung cancer. They play an important role in the carcinogenesis of lung cancer and may help to distinguish squamous cell carcinomas from other three types of lung neoplasms in diagnostic pathology.
Keywords:Lung neoplasms  PCNA  p63  p53  Tissue microarray
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