Suppr超能文献

HER-2/neu/c-erbB-2基因扩增在乳腺良恶性疾病中的意义

The significance of HER-2/neu/c-erbB-2 gene amplification in benign and malignant breast disease.

作者信息

Supanaranond K, Sukarayodhin S, Tanyakaset M, Balachandra K, Jullaksorn D, Rienkijkarn M, Hoisanka N, Tantivanich S

机构信息

National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Thailand.

出版信息

Southeast Asian J Trop Med Public Health. 1997 Sep;28(3):631-40.

PMID:9561622
Abstract

This study was carried out to investigate the amplification of HER-2/neu oncogene in 66 patients with primary breast cancer and 90 samples from benign breast disease (BBD). The amplification of HER-2/neu oncogene in the DNA of paraffin-embedded specimens was determined by differential PCR. Nineteen out of 66 (28.8%) breast cancer patients showed amplification of the gene. No gene amplification was found in benign breast disease. There was no significant correlation of HER-2/neu amplification with, age, menopausal status, the number of positive nodes, tumor size, estrogen receptor, however, amplification of HER-2/neu gene was strongly correlated with nodal status (p = 0.0049). In node positive patients, the incidence of HER-2/neu amplification was high (43%). These findings indicate that the amplification of HER-2/neu gene may be of pathogenetic significance in breast cancer and may have a poor prognosis in node positive breast cancer patients while no gene amplification in benign breast disease suggests that HER-2/neu amplification is a late molecular alteration event in the pathogenesis of breast cancer.

摘要

本研究旨在调查66例原发性乳腺癌患者以及90份来自乳腺良性疾病(BBD)样本中HER-2/neu癌基因的扩增情况。通过差异PCR法测定石蜡包埋标本DNA中HER-2/neu癌基因的扩增情况。66例乳腺癌患者中有19例(28.8%)显示该基因扩增。乳腺良性疾病中未发现基因扩增。HER-2/neu扩增与年龄、绝经状态、阳性淋巴结数量、肿瘤大小、雌激素受体无显著相关性,然而,HER-2/neu基因扩增与淋巴结状态密切相关(p = 0.0049)。在淋巴结阳性患者中,HER-2/neu扩增的发生率较高(43%)。这些发现表明,HER-2/neu基因扩增在乳腺癌发病机制中可能具有致病意义,并且在淋巴结阳性乳腺癌患者中可能预后较差,而乳腺良性疾病中未出现基因扩增表明HER-2/neu扩增是乳腺癌发病机制中的晚期分子改变事件。

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