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垂体腺瘤中上皮细胞黏附分子的表达:一项免疫组织化学研究。

Epithelial cell adhesion molecule expression in pituitary adenomas: an immunohistochemical study.

机构信息

Laboratory of Experimental Neuropathology, National Institute of Neurology and Neurosurgery Manuel Velasco Suárez, México, DF 14269, Mexico.

出版信息

Ann Diagn Pathol. 2010 Dec;14(6):418-24. doi: 10.1016/j.anndiagpath.2010.06.008.

Abstract

An important amount of data correlating the expression of epithelial cell adhesion molecule (Ep-CAM) with cellular proliferation and de-differentiation could directly contribute to carcinogenesis. The aim of this study is to evaluate prognosis relevance of Ep-CAM expression in a group of pituitary adenomas. Epithelial cell adhesion molecule, proliferating cell nuclear antigen, and microvascular density labeling indices in pituitary adenomas were determined by immunohistochemistry on tissue samples obtained from each adenoma after surgery. We evaluated 45 adenomas. Sixty-two percent were nonsecretor adenomas and 37.8% were secretor tumors. Immunohistochemistry was scored for immunoexpression of Ep-CAM (cytoplasmic, membrane, and mixed pattern). Proliferating cell nuclear antigen and vascular density (CD34) labeling indices were assessed. Statistical significance was observed between Ep-CAM cytoplasmic immunoreactions (P = .000) and higher proliferating cell nuclear antigen (P = .001) in secretor adenomas compared with nonsecretor tumors. Vascular density labeling indices did not show statistical significance. Therefore, Ep-CAM could be evaluated to distinguish secretor and nonsecretor pituitary adenomas. These suggest that the markers could predict the growth potential of individual pituitary adenomas.

摘要

大量数据表明,上皮细胞黏附分子(Ep-CAM)的表达与细胞增殖和去分化直接相关,这可能直接促进了癌变。本研究旨在评估上皮细胞黏附分子(Ep-CAM)在一组垂体腺瘤中的表达与预后的相关性。术后,通过免疫组织化学方法检测了来自每个腺瘤的组织样本中的 Ep-CAM、增殖细胞核抗原和微血管密度标记指数。我们评估了 45 例腺瘤。62%为无分泌功能腺瘤,37.8%为有分泌功能肿瘤。Ep-CAM 的免疫表达(细胞质、膜和混合模式)进行了免疫组织化学评分。评估了增殖细胞核抗原和血管密度(CD34)标记指数。与无分泌功能肿瘤相比,分泌型腺瘤的 Ep-CAM 细胞质免疫反应(P =.000)和更高的增殖细胞核抗原(P =.001)之间存在统计学意义。血管密度标记指数无统计学意义。因此,Ep-CAM 可用于区分分泌型和无分泌型垂体腺瘤。这些结果提示这些标志物可预测个体垂体腺瘤的生长潜力。

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