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[人类子宫组织病理转变过程中类固醇受体的变化]

[Changes in steroid receptors during histopathologic transformation of tissue in the human uterus].

作者信息

Ribarac-Stepić N, Sulović V, Matijasević S, Milasin J, Nedeljković Z, Kanazir D T

出版信息

Jugosl Ginekol Opstet. 1984 Sep-Dec;24(5-6):79-83.

PMID:6535890
Abstract

Estrogen (ER) and progesterone receptors (PR) were analyzed in the cytosol and nuclei prepared from specimens of human uterine tissue of patients with certain disorders identified as hyperplasia endometrii adenomatosa, myoma uteri per magnum, adenocarcinoma endometrii and adenocarcinoma corporis uteri. These investigations have revealed a different level of ER and PR in analyzed tissue specimens, as well as the existence of a relationship between changes in receptor levels and respective Kd. These changes suggest a correlation between steroid receptor levels and the type of tissue transformation. The functionality of the receptors was analyzed by the ultracentrifugation of non-activated and activated steroid-receptor complexes in sucrose density gradients, as well as by the investigation of their interaction with isolated nuclei. These results indicate that some changes in steroid receptor molecules can be detected when the tissue turns from normal to malignant transformation. On the basis of this investigation it could be proposed that the analysis of activated and non-activated steroid-receptor complexes by means of the methods used in this study can be applied as a useful clinical tool in the determination of the endocrine dependence of transformed tissues, as well as for the optimum dosing of individual treatment of patients with uterine and other tissue carcinoma.

摘要

对从患有某些疾病(如子宫内膜腺瘤样增生、巨大子宫肌瘤、子宫内膜腺癌和子宫体腺癌)的患者子宫组织标本中制备的胞质溶胶和细胞核进行了雌激素(ER)和孕激素受体(PR)分析。这些研究揭示了所分析组织标本中ER和PR的不同水平,以及受体水平变化与各自解离常数(Kd)之间的关系。这些变化表明类固醇受体水平与组织转化类型之间存在相关性。通过在蔗糖密度梯度中对未激活和激活的类固醇受体复合物进行超速离心,以及研究它们与分离细胞核的相互作用,分析了受体的功能。这些结果表明,当组织从正常转变为恶性转化时,可以检测到类固醇受体分子的一些变化。基于这项研究,可以提出,通过本研究中使用的方法对激活和未激活的类固醇受体复合物进行分析,可作为一种有用的临床工具,用于确定转化组织的内分泌依赖性,以及为子宫和其他组织癌患者的个体化治疗确定最佳剂量。

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