Suppr超能文献

MIB-1 in endometrial carcinoma: prognostic significance with 5-year follow-up.

作者信息

Geisler J P, Geisler H E, Miller G A, Wiemann M C, Zhou Z, Crabtree W

机构信息

Department of Obstetrics and Gynecology, St. Vincent Hospitals and Health Services, Indianapolis, Indiana 46260, USA.

出版信息

Gynecol Oncol. 1999 Dec;75(3):432-6. doi: 10.1006/gyno.1999.5615.

Abstract

OBJECTIVE

MIB-1, a monoclonal antibody to the Ki-67 antigen, has presumptively been shown to be predictive of recurrent disease in patients with endometrial cancer. In order to more conclusively establish whether MIB-1 staining can be used as a prognostic indicator of recurrent disease or survival, a larger group of patients with a minimum follow-up of 5 years was analyzed.

METHODS

The tumors from 147 consecutive patients receiving primary surgical therapy for endometrial carcinoma were evaluated with the MIB-1 monoclonal antibody. Proliferation index was quantified by image analysis. Patients were followed for a minimum of 60 months. In addition to MIB-1 staining, histologic type, stage, grade, depth of invasion, lymphovascular space invasion, and peritoneal cytology were evaluated as prognostic indicators.

RESULTS

Twenty-five of 147 patients died during the study period. MIB-1 staining was not significantly elevated in advanced (stage II, III, and IV) as opposed to early (stage I) carcinomas (P = 0.38). In patients whose tumor MIB-1 staining was less than 33.0%, no deaths occurred. By multivariate analysis, only MIB-1 staining (P < 0.001), FIGO stage (P = 0.005), and LVI (P = 0.005) were shown to be independent prognostic indicators predictive of survival.

CONCLUSION

In this series of 147 consecutive patients with endometrial carcinoma, the monoclonal antibody MIB-1 was shown to be an independent prognostic indicator of 5-year survival. This follow-up further validates the previous work regarding the significance and potential usefulness of MIB-1 as a prognostic indicator.

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