RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES

孙强; 王树蕙; 黄汉源; 杨子毅; 朱预

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RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES

中国医学科学杂志（英文版） 1997年第2期页码：80-83

Updated：2024-04-10

- RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES
- Affiliations：
  
  1. Department of Surgery
  2. Peking Union Medical College Hospital
  3. CAMS & PUMC
  4. ,China
  5. Department of Microbiology and Immunology
  6. Institute of Basic Medical Sciences
- Author bio：
- Funds：
- DOI：
  中图分类号： R737.9
- 纸质出版日期：1997
- Accepted：
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[1]孙强,王树蕙,黄汉源,杨子毅,朱预.RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES[J].Chinese Medical Sciences Journal,1997(02):80-83.

RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES[J]. Chinese medical sciences journal, 1997, (2): 80-83.
[1]孙强,王树蕙,黄汉源,杨子毅,朱预.RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES[J].Chinese Medical Sciences Journal,1997(02):80-83. DOI：

RADIOIMMUNOIMAGING OF HUMAN BREAST CANCER XENOGRAFTS IN NUDE MICE BY USING HUMAN ANTI-HUMAN BREAST CANCER MONOCLONAL ANTIBODIES[J]. Chinese medical sciences journal, 1997, (2): 80-83. DOI：

摘要

<正> In this study

the human breast cancer-bearing nude mice model has been established and the radioim-munoimaging was carried out by using human anti-human monoclonal antibodies. The results showed that the breast tumor-bearing nude mice received 131I-McAb-CM-l had a clear image of the xenograft during 4 to 6 days after injection and at the same time T/NT all over 1. 0. The highest T/NT reached 7.1. It demonstrates that McAb-CM-1 can specially combine with breast cancer tissues and hopefully it could be used clinically to improve accurate rate of the early breast cancer diagnosis.

Abstract

In this study

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