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- 刊名:癌症进展
- Oncology Progress Journal
- 主管:国家卫生健康委员会
- 主办:中国医学科学院
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2017 年第 1 期 第 15 卷
老年肺癌患者富脯氨酸蛋白11的表达水平及其临床意义
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- 摘要:
- 【摘要】目的 观察老年肺癌患者富脯氨酸蛋白11(proline-rich protein 11,PRR11)的表达水平,探讨其临床意义。 方法 选取肺癌组织标本60例、癌旁组织标本42例及正常肺部组织标本44例,采用免疫组化法检测不同组织标本PRR11的表达水平。根据染色强度和阳性细胞数判定结果将肺癌组织标本分为阳性组47例和阴性组13例,比较两组的临床病理参数。 结果 (1)在肺癌组织中,PRR11表达阳性率明显高于癌旁组织和正常肺部组织78.33%(47/60) vs 4.76%(2/42) vs 0.00%, χ2=111.440,P=0.000;(2)免疫组化结果显示,肺癌组织中PRR11表达水平明显高于癌旁组织和正常肺部组织(P<0.05),而癌旁组织与正常肺部组织比较,差异无统计学意义(P>0.05);(3)在肺癌组织标本中,阳性组有无淋巴转移、肿瘤分化程度、病理类型及TNM分期与阴性组比较,差异均有统计学意义(P<0.05或P<0.01)。 结论 老年肺癌患者PRR11的表达水平升高,并与有无淋巴结转移、肿瘤分化、病理类型及TNM分期有关。
- Objective To observe the expression of proline-rich protein 11(PRR11) in elder patient with lung cancer and discuss its clinical significance. Methods The 60 cases of human lung cancer tissues, 42 cases of paracancerous tissues and 44 cases of normal lung tissue were selected, and Immunohistochemistry(SP) method was used to detect the expression levels of PRR11 protein in different tissues. H uman lung cancer tissues were divided into positive group(n=47) and negative group(n=13) according to the result of staining intensity and positive cell numbers, and compared the clinical pathological parameter between two groups. Results (1)Expression positive rate of PRR11 were higher in lung cancer tissues than in paracancerous tissues and normal lung tissue 78.33%(47/60) vs 4.76%(2/42) vs 0.00%, χ2=111.440, P=0.000; (2) SP method showed that the expression levels of PRR11 were higher in lung cancer tissues than in paracancerous tissues and normal lung tissue (P<0.05), and there was no statistical significance between paracancerous tissues and normal lung tissue (P>0.05); (3)In lung cancer tissues, there were statistical significance differences in lymph node metastasis, differentiation, pathological pattern and TNM stage between positive group and negative group(P<0.05 or P<0.01). Conclusion The expression of PRR11 is rise in elder patient with lung cancer, and it may be related to lymph node metastasis, differentiation, pathological pattern and TNM stage.