Suppr超能文献

Detection of ovarian cancer by 198Au-labeled human monoclonal antibody.

作者信息

Chaudhuri T R, Zinn K R, Morris J S, McDonald G A, Llorens A S, Chaudhuri T K

机构信息

Research Reactor, University of Missouri, Columbia 65211.

出版信息

Cancer. 1994 Feb 1;73(3 Suppl):878-83. doi: 10.1002/1097-0142(19940201)73:3+<878::aid-cncr2820731319>3.0.co;2-u.

Abstract

BACKGROUND

There is no reliable method for the early diagnosis of ovarian cancer. Radiolabeled monoclonal antibodies have potential to assist in early diagnosis, but they are limited by problems that include antibody specificity, stability, and immunoreactivity, as well as patient reactions to the antibodies used.

METHODS

Methods were developed to 198Au-label a human monoclonal antibody (TC5 antibody), developed against an ovarian cancer cell surface antigen. Antigen binding sites on the TC5 antibody were protected with sepharose 4B affinity chromatography before 198Au-labeling. The 198Au-labeled TC5 antibody was evaluated with biopsy specimens in a blind study. The immunoreactivity of radiolabeled TC5 antibody also was evaluated in slot-blot experiments with extracts of the biopsy specimens.

RESULTS

The 198Au-labeled TC5 antibody had high binding reaction to all biopsy specimens (six of six) pathologically diagnosed as ovarian cancer (serous and endometrioid adenocarcinoma). The radiolabeled TC5 antibody did not bind to any normal (non-neoplastic) specimens (zero in ten), with one exception. One "normal" ovary specimen had high binding of radiolabeled TC5 antibody, and metastatic ovarian cancer was diagnosed 4 months later. The TC5 antibody labeled with 198Au, without protecting antigen-binding sites, did not bind to any biopsy specimens.

CONCLUSIONS

The affinity-labeling method was necessary to protect antigen-binding sites and preserve the immunoreactivity of the TC5 antibody. The 198Au-labeling method may be an ideal technique to evaluate monoclonal antibodies in vitro. The TC5 antibody had high sensitivity and specificity for detecting ovarian cancer.

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