Suppr超能文献

对芳香化酶抑制剂耐药、他莫昔芬耐药及长期雌激素剥夺细胞的全基因组分析揭示了雌激素受体的作用。

Genome-wide analysis of aromatase inhibitor-resistant, tamoxifen-resistant, and long-term estrogen-deprived cells reveals a role for estrogen receptor.

作者信息

Masri Selma, Phung Sheryl, Wang Xin, Wu Xiwei, Yuan Yate-Ching, Wagman Lawrence, Chen Shiuan

机构信息

Department of Surgical Research, Division of Information Sciences, Beckman Research Institute of the City of Hope, Duarte, California, USA.

出版信息

Cancer Res. 2008 Jun 15;68(12):4910-8. doi: 10.1158/0008-5472.CAN-08-0303.

Abstract

Acquired resistance to either tamoxifen or aromatase inhibitors (AI) develops after prolonged treatment in a majority of hormone-responsive breast cancers. In an attempt to further elucidate mechanisms of acquired resistance to AIs, MCF-7aro cells resistant to letrozole (T+LET R), anastrozole (T+ANA R), and exemestane (T+EXE R), as well as long-term estrogen deprived (LTEDaro) and tamoxifen-resistant (T+TAM R) lines were generated. This is the first complete panel of endocrine therapy-resistant cell lines, which were generated as multiple independent biological replicates for unbiased genome-wide analysis using affymetrix microarrays. Although similarities are apparent, microarray results clearly show gene signatures unique to AI-resistance were inherently different from LTEDaro and T+TAM R gene expression profiles. Based on hierarchical clustering, unique estrogen-responsive gene signatures vary depending on cell line, with some genes up-regulated in all lines versus other genes up-regulated only in the AI-resistant lines. Characterization of these resistant lines showed that LTEDaro, T+LET R, and T+ANA R cells contained a constitutively active estrogen receptor (ER)alpha that does not require estrogen for activation. This ligand-independent activation of ER was not observed in the parental cells, as well as T+EXE R and T+TAM R cells. Further characterization of these resistant lines was performed using cell cycle analysis, immunofluorescence experiments to visualize ER subcellular localization, as well as cross-resistance studies to determine second-line inhibitor response. Using this well-defined model system, our studies provide important information regarding differences in resistance mechanisms to AIs, TAM, and LTEDaro, which are critical in overcoming resistance when treating hormone-responsive breast cancers.

摘要

在大多数激素反应性乳腺癌中,长期治疗后会出现对他莫昔芬或芳香化酶抑制剂(AI)的获得性耐药。为了进一步阐明对AI获得性耐药的机制,我们构建了对来曲唑(T+LET R)、阿那曲唑(T+ANA R)和依西美坦(T+EXE R)耐药的MCF-7aro细胞系,以及长期雌激素剥夺(LTEDaro)和他莫昔芬耐药(T+TAM R)细胞系。这是首个完整的内分泌治疗耐药细胞系面板,作为多个独立生物学复制品构建,用于使用Affymetrix微阵列进行无偏倚的全基因组分析。尽管相似之处明显,但微阵列结果清楚地表明,AI耐药特有的基因特征与LTEDaro和T+TAM R基因表达谱本质上不同。基于层次聚类,独特的雌激素反应性基因特征因细胞系而异,一些基因在所有细胞系中上调,而其他基因仅在AI耐药细胞系中上调。对这些耐药细胞系的表征显示,LTEDaro、T+LET R和T+ANA R细胞含有一种组成型激活的雌激素受体(ER)α,其激活不需要雌激素。在亲本细胞以及T+EXE R和T+TAM R细胞中未观察到这种ER的非配体依赖性激活。使用细胞周期分析、免疫荧光实验以可视化ER亚细胞定位以及交叉耐药研究来确定二线抑制剂反应,对这些耐药细胞系进行了进一步表征。利用这个定义明确的模型系统,我们的研究提供了关于对AI、他莫昔芬和LTEDaro耐药机制差异的重要信息,这些差异对于治疗激素反应性乳腺癌时克服耐药至关重要。

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