Suppr超能文献

使用单克隆抗体对子宫内膜腺癌中雌激素受体进行免疫组织化学分析。

Immunohistochemical analyses of estrogen receptor in endometrial adenocarcinoma using a monoclonal antibody.

作者信息

Budwit-Novotny D A, McCarty K S, Cox E B, Soper J T, Mutch D G, Creasman W T, Flowers J L, McCarty K S

出版信息

Cancer Res. 1986 Oct;46(10):5419-25.

PMID:3756890
Abstract

Immunohistochemical localization of estrogen receptor (ER) using specific monoclonal anti-human estrogen receptor antibody, H222, with an immunoperoxidase technique was performed on fresh frozen tissue derived from 100 endometrial adenocarcinomas. Immunohistochemical evaluation incorporated both intensity and distribution of staining. In all cases, H222 localized in the nucleus of target cells. A significant quantitative relationship was shown between histological score (H-Score) and the biochemical analysis of ER content in tissue homogenates (r = 0.65, P = 0.00001). Excellent sensitivity (92%) and specificity (93%) were observed for the comparison of H-Score to the biochemical assay. Significant ER localization was present in stromal and myometrial elements, component H-Score of which correlated weakly with component H-Scores of malignant epithelial elements. Divergent receptor localization in stromal and myometrial versus malignant epithelial elements suggests that biochemical assays of endometrial carcinoma specimens may not reflect cancer-relevant receptor content. The data presented here suggest that the immunoassay of ER using H222 monoclonal antibody provides additional histochemical information to complement conventional analyses of endometrial adenocarcinomas.

摘要

使用特异性单克隆抗人雌激素受体抗体H222,采用免疫过氧化物酶技术对100例子宫内膜腺癌的新鲜冰冻组织进行雌激素受体(ER)的免疫组织化学定位。免疫组织化学评估包括染色强度和分布。在所有病例中,H222定位于靶细胞核。组织学评分(H评分)与组织匀浆中ER含量的生化分析之间显示出显著的定量关系(r = 0.65,P = 0.00001)。将H评分与生化检测进行比较时,观察到了出色的敏感性(92%)和特异性(93%)。在基质和肌层成分中存在显著的ER定位,其成分H评分与恶性上皮成分的H评分弱相关。基质和肌层与恶性上皮成分中受体定位的差异表明,子宫内膜癌标本的生化检测可能无法反映与癌症相关的受体含量。本文提供的数据表明,使用H222单克隆抗体对ER进行免疫测定可提供额外的组织化学信息,以补充子宫内膜腺癌的传统分析。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验