摘要
目的：探讨Survivin、Livin在人脑胶质瘤组织中的表达及临床意义。方法：收集52例人脑胶质瘤组织标本，另取30例正常脑组织为对照组。应用免疫组织化学方法分别检测52例脑胶质瘤组织和30例正常脑组织中的Survivin、Livin蛋白的表达，并测定52例不同病理分级的脑胶质瘤组织中Survivin、Livin蛋白表达。利用HPIAS-2000图像分析系统测定Survivin、Livin在各组中表达的平均光密度和平均阳性面积率。结果：Survivin、Livin在30例正常脑组织中均不表达，而在52例脑胶质瘤组织中呈高阳性表达，两者之间差异均具有显著性（P〈0．01）。图像分析结果显示，脑胶质瘤组织Survivin、Livin蛋白表达的平均光密度和平均阳性面积率均明显高于正常脑组织，脑胶质瘤组织与正常脑组织之间平均光密度和平均阳性面积率的差异有显著性（P〈0．01）。Ⅲ～Ⅳ级脑胶质瘤中Survivin、Livin蛋白表达的平均光密度和平均阳性面积率均显著高于Ⅰ～Ⅱ级脑胶质瘤，Ⅲ～Ⅳ级脑胶质瘤与Ⅰ～Ⅱ级脑胶质瘤之间平均光密度和平均阳性面积率的差异亦具有显著性（P〈0．05）。结论：Survivin、Livin的表达上调在人脑胶质瘤的发生、发展中起重要作用，并且其表达强度与脑胶质瘤的恶性程度呈明显正相关。Survivin、Livin基因可能成为脑胶质瘤基因治疗的有效靶点。
Objective： To explore the expression of Survivin.Livin in human gliomas and its implication. Methods： Fifty-two samples of gliomas were divided into four groups by WHO standard and thirty normal brain samples were seemed as control group. All the samples were stained with SP immunohistochemistry to observe the expression of Survivin, Livin and the gliomas malignancy. Image analysis system was applied to measure the expression level of Survivin, Livin at different stage of gliomas and in normal brain tissues. Results： No positive staining was found in normal brain samples, while the expression rate in gliomas was very high. The image analysis indicated that the average optical density of Survivin, Livin protein positive immunostaining in gliomas was significantly higher than in normal brain tissues, and the positive area rate of Survivin, Livin protein positive immunostaining in gliomas was obviously higher than in normal brain tissues. Furthermore, compared with that in Ⅰ-Ⅱ degree of gliomas, the average optical density of Survivin, Livin protein positive immunostaining in Ⅲ- Ⅳ degree of gliomas increased markedly, and the positive area rate of Survivin, Livin protein positive immunostaining in Ⅲ - Ⅳ degree of gliomas increased remarkably. Conclusions： Survivin, Livin play an important role in the development of gliomas. The Survivin, Livin protein expression level increased with the degree of malignancy. Survivin and Livin were supposed to be the new targets for gene therapy of gliomas.
出处
《数理医药学杂志》
2008年第3期280-282,共3页
Journal of Mathematical Medicine
