Hole Stine, Pedersen Astrid M, Lykkesfeldt Anne E, Yde Christina W
Unit of Cell Death and Metabolism, Breast Cancer Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark.
Breast Cancer Res Treat. 2015 Feb;149(3):715-26. doi: 10.1007/s10549-015-3284-8. Epub 2015 Feb 10.
Aromatase inhibitors (AIs) are used for treatment of estrogen receptor α (ER)-positive breast cancer; however, resistance is a major obstacle for optimal outcome. This preclinical study aimed at identifying potential new treatment targets in AI-resistant breast cancer cells. Parental MCF-7 breast cancer cells and four newly established cell lines, resistant to the AIs exemestane or letrozole, were used for a functional kinase inhibitor screen. A library comprising 195 different compounds was tested for preferential growth inhibition of AI-resistant cell lines. Selected targets were validated by analysis of cell growth, cell cycle phase distribution, protein expression, and subcellular localization. We identified 24 compounds, including several inhibitors of Aurora kinases e.g., JNJ-7706621 and barasertib. Protein expression of Aurora kinase A and B was found upregulated in AI-resistant cells compared with MCF-7, and knockdown studies showed that Aurora kinase A was essential for AI-resistant cell growth. In AI-resistant cell lines, the clinically relevant Aurora kinase inhibitors alisertib and danusertib blocked cell cycle progression at the G2/M phase, interfered with chromosome alignment and spindle pole formation, and resulted in preferential growth inhibition compared with parental MCF-7 cells. Even further growth inhibition was obtained when combining the Aurora kinase inhibitors with the antiestrogen fulvestrant. Our study is the first to demonstrate that Aurora kinase A and B may be treatment targets in AI-resistant cells, and our data suggest that therapy targeting both ER and Aurora kinases may be a potent treatment strategy for overcoming AI resistance in breast cancer.
芳香化酶抑制剂(AIs)用于治疗雌激素受体α(ER)阳性乳腺癌;然而,耐药性是实现最佳治疗效果的主要障碍。这项临床前研究旨在确定对AI耐药的乳腺癌细胞中潜在的新治疗靶点。使用亲本MCF-7乳腺癌细胞和四种新建立的对AIs依西美坦或来曲唑耐药的细胞系进行功能性激酶抑制剂筛选。测试了一个包含195种不同化合物的文库对AI耐药细胞系的优先生长抑制作用。通过分析细胞生长、细胞周期阶段分布、蛋白质表达和亚细胞定位来验证选定的靶点。我们鉴定出24种化合物,包括几种极光激酶抑制剂,例如JNJ-7706621和巴瑞替尼。与MCF-7相比,在AI耐药细胞中发现极光激酶A和B的蛋白质表达上调,敲低研究表明极光激酶A对AI耐药细胞的生长至关重要。在AI耐药细胞系中,临床相关的极光激酶抑制剂阿利塞替尼和达沙替尼在G2/M期阻断细胞周期进程,干扰染色体排列和纺锤极形成,并与亲本MCF-7细胞相比导致优先生长抑制。当将极光激酶抑制剂与抗雌激素氟维司群联合使用时,甚至能获得进一步的生长抑制。我们的研究首次证明极光激酶A和B可能是AI耐药细胞中的治疗靶点,我们的数据表明靶向ER和极光激酶的疗法可能是克服乳腺癌AI耐药性的有效治疗策略。