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乳腺癌激素敏感性的基础研究。

Basic research for hormone-sensitivity of breast cancer.

作者信息

Hayashi Shin-ichi, Yamaguchi Yuri

机构信息

Department of Medical Technology, Course of Health Sciences, School of Medicine, Tohoku University, Sendai, Japan.

出版信息

Breast Cancer. 2006;13(2):123-8. doi: 10.2325/jbcs.13.123.

Abstract

Hormonal therapy is a rapidly progressing molecular-targeted therapy for breast cancer, using drugs such as LH-RH agonists, SERMs and aromatase inhibitors. Basic research for estrogen signaling and hormone sensitivity in breast cancer cells strongly contributes to the progression of clinical treatment of breast cancer. However, further problems remain unresolved, for example the accurate prediction of individual response to each hormonal therapy. Moreover, novel combinations with other molecular-targeted therapies might be advance the effectiveness of hormonal therapies. To address these issues, we are developing several new tools such as focused microarray and a GFP-reporter cell system. We first identified estrogen-responsive genes by comprehensive expression profiling of estrogen receptor (ER)-positive breast cancer cells, and produced a custom-made estrogen-responsive microarray of a narrowed-down subset. Using this microarray, we studied several basic issues regarding estrogen signaling and expression analysis of estrogen-responsive genes in breast cancer tissues. Furthermore, expression of several candidate genes selected from the contents of the customarray was also analyzed by real-time RT-PCR and by immunohistochemical techniques, to find new predictive factors for responsiveness to hormone therapy for primary breast cancer patients. We found that the expression of several genes such as HDAC6 significantly correlated with disease-free and overall survival of ER-positive patients. Furthermore, we are developing a new tool for analyzing the estrogen-related microenvironment on individual breast cancer patients using ERE-GFP-indicator cells. This system enables visualization of tumor-stroma interactions and the effects of aromatase inhibitors in an individual breast cancer sample. We believe that these approaches could provide not only new clues to elucidate the estrogen-dependent mechanisms of cancer, but also clinical benefits to patients by predicting individual response to hormonal therapy.

摘要

激素疗法是一种快速发展的针对乳腺癌的分子靶向疗法,使用诸如促黄体生成素释放激素(LH-RH)激动剂、选择性雌激素受体调节剂(SERM)和芳香化酶抑制剂等药物。对乳腺癌细胞中雌激素信号传导和激素敏感性的基础研究有力地推动了乳腺癌临床治疗的进展。然而,仍有一些问题尚未解决,例如准确预测个体对每种激素疗法的反应。此外,与其他分子靶向疗法的新联合可能会提高激素疗法的疗效。为了解决这些问题,我们正在开发几种新工具,如聚焦微阵列和绿色荧光蛋白(GFP)报告细胞系统。我们首先通过对雌激素受体(ER)阳性乳腺癌细胞进行全面的表达谱分析来鉴定雌激素反应基因,并制作了一个定制的、缩小了范围的雌激素反应微阵列。利用这个微阵列,我们研究了一些关于雌激素信号传导以及乳腺癌组织中雌激素反应基因表达分析的基本问题。此外,还通过实时逆转录聚合酶链反应(RT-PCR)和免疫组化技术分析了从定制阵列内容中选出的几个候选基因的表达,以寻找原发性乳腺癌患者对激素疗法反应性的新预测因子。我们发现,诸如组蛋白去乙酰化酶6(HDAC6)等几个基因的表达与ER阳性患者的无病生存期和总生存期显著相关。此外,我们正在开发一种新工具,利用雌激素反应元件-绿色荧光蛋白(ERE-GFP)指示细胞来分析个体乳腺癌患者的雌激素相关微环境。这个系统能够在个体乳腺癌样本中可视化肿瘤-基质相互作用以及芳香化酶抑制剂的作用。我们相信,这些方法不仅可以为阐明癌症的雌激素依赖性机制提供新线索,还可以通过预测个体对激素疗法反应为患者带来临床益处。

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