Suppr超能文献

Immunocytochemical analysis of uterine papillary serous carcinomas for estrogen and progesterone receptors.

作者信息

Umpierre S A, Burke T W, Tornos C, Ordonez N, Levenback C, Morris M

机构信息

Department of Gynecology, University of Texas, M. D. Anderson Cancer Center, Houston 77030.

出版信息

Int J Gynecol Pathol. 1994 Apr;13(2):127-30. doi: 10.1097/00004347-199404000-00004.

Abstract

Uterine papillary serous carcinoma (UPSC), an aggressive histologic variant of endometrial cancer, is particularly resistant to cytotoxic chemotherapy. In reviewing a group of patients treated with cisplatin, doxorubicin, and cyclophosphamide, we were surprised to find that 90% of specimens tested by biochemical analysis were positive for estrogen receptor (ER), progesterone receptor (PR), or both. To further study receptor content and localization, we performed immunocytochemical analysis (ICA) on 29 archival UPSC specimens. In ER studies, three specimens were unevaluable because of inadequate internal controls; of the remaining 26, only two were ER positive, showing weak, focal staining. In PR studies, 18 samples had adequate controls, and all tumor specimens were receptor negative. Corresponding biochemical ER data were available for 11 cases, of which 10 were ER positive. ICA, however, showed all 10 to be negative. Biochemical PR data were available for seven samples: Six were positive. All six biochemically positive PR specimens were PR negative when analyzed by ICA. Biochemical assays for ER and PR may overestimate positivity as a result of contamination with normal tissue or the presence of receptor-positive typical endometrial adenocarcinoma in tumors of mixed histology. ICA may eliminate this problem, but it has technical limitations, especially when used for archival tissue analysis. Because urinary papillary serous carcinoma appears to be a receptor-negative tumor, further evaluation of hormonal therapy is not likely to be beneficial.

摘要

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