Suppr超能文献

Quantitative immunohistochemical assay for hormonal receptors: technical aspects and biological significance.

作者信息

Esteban J M, Ahn C, Battifora H, Felder B

机构信息

Division of Pathology, City of Hope National Medical Center, Duarte, CA 91010.

出版信息

J Cell Biochem Suppl. 1994;19:138-45.

PMID:7823586
Abstract

Over 250 breast carcinomas were studied in order to establish whether or not quantitative immunohistochemical assays (ICA) for estrogen and progesterone receptors (ER and PR) with computer-assisted image analysis could favorably compare with standard cytosolic assays. Initially, variable antigenic preservation secondary to improper tissue fixation and processing led to irregular receptor preservation and unevenly stained areas indistinguishable from true intratumor antigenic heterogeneity. As a direct consequence of the field selections chosen for analysis, assay reproducibility was less than optimal. Proper tissue fixation and handling eliminated most of the irregular staining; selection of fields to analyze became less cumbersome and more reproducible. Differences in staining intensity due to minimal variations in the ICA also resulted in difficult reproducibility. Standardizing the technique and using an automatic stainer notably eliminated that problem. The second and equally important question was to establish if quantitative ER-ICA had relevance as a predictor for prognosis. The Kaplan-Meier product limit estimator for quantitated ER values and Cox regression for risk of mortality and disease progression were performed. The results obtained discriminated high- and low-risk groups for overall survival (p = 0.016) better than the dextran-coated charcoal assay. Elimination of two major obstacles and proof of the predictive value of quantitative ICA has transformed the assay into a valid alternative to cytosolic methods; however, before that takes place it is critical to establish standard procedures for both ICA and quantitation so interlaboratory variability is reduced to a minimum.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验