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作 者:廖志东[1] 郑少秋[2] 朱文标[2] 谢寿城[2]
机构地区:[1]广东省梅州市中医医院,广东梅州514017 [2]中山大学附属梅州市人民医院
出 处:《中国医学创新》2017年第21期11-14,共4页Medical Innovation of China
基 金:梅州市科技计划项目(2014B105)
摘 要:目的:探讨EGFR、Ki67和P16在宫颈鳞状上皮内病变(SIL)分级中的应用。方法:应用免疫组化SP法标记60例宫颈鳞状上皮化生、70例低级别宫颈上皮内病变(LSIL)和80例高级别宫颈上皮内病变(HSIL)中EGFR、Ki67和P16的表达。结果:EGFR、Ki67和P16在鳞状上皮化生、LSIL和HSIL中的蛋白表达比较,差异均有统计学意义(P<0.05),且均以HSIL为最高,LSIL次之,鳞状上皮化生为最低。EGFR、Ki67和P16在LSIL、HSIL中的表达模式比较,差异均有统计学意义(P<0.05)。相关性分析显示,EGFR、Ki67和P16在鳞状上皮化生与LSIL中蛋白表达两两比较,均无明显相关(P>0.05),EGFR、Ki67和P16在鳞状上皮化生与HSIL中蛋白表达两两比较,均无明显相关(P>0.05),EGFR、Ki67和P16在LSIL与HSIL中蛋白表达两两比较,均呈正相关(P<0.05)。结论:应用免疫组化SP法标记三种蛋白可作为SIL分级的参考指标,同时结合LSIL和HSIL的分布特征,以降低假阳性率,提高诊断分级的准确性。Objective: To explore the application of EGFR and Ki67 and P16 staining in hierarchical diagnostic of squamous intraepithelial lesions ( SIL ) .Method : The SP immunohistochemical method was used to mark the 60 cases of cervical squamous metaplasia, 70 cases of low-grade cervical intraepithelial neoplasia ( LSIL ) and 80 cases of high grade cervical intraepithelial lesions ( HSIL ) in EGFR, Ki67 and P16 expression.Result: The expression of EGFR, Ki67 and P16 in squamous metaplasia, LSIL and HSIL were compared, the differences were statistically significant (P〈O.05), and the highest was HSIL, followed by the LSIL, and the lowest was metaplasia of squamous epithelium.EGFR, Ki67 and P16 in LSIL, compared the expression pattern of HSIL, the differences were statistically significant ( P〈0.05 ) .Correlation analysis showed that EGFR, Ki67 and P16 of expression pattern in LSIL compared with each other, there were no significant correlations ( P〉0.05 ), EGFR, Ki67 and P16 of expression pattern in HSIL compared with each other, there were no significant correlations ( P〉O.05 ) EGFR, Ki67 and P16 of expression pattern in HSIL and LSIL compared with each other, all had positive correlations (P〈0.05) .Conclusion: The SP immunohistochemical method is used to mark the three proteins can be used as reference for SIL classification, at the same time, combined with the distribution of LSIL and HSIL, in order to reduce the false positive rate, improve the diagnostic accuracy of classification.
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