首页> 美国卫生研究院文献>other >Integrated Molecular Analysis of Tamoxifen-Resistant Invasive Lobular Breast Cancer Cells Identifies MAPK and GRM/mGluR Signaling as Therapeutic Vulnerabilities
【2h】

Integrated Molecular Analysis of Tamoxifen-Resistant Invasive Lobular Breast Cancer Cells Identifies MAPK and GRM/mGluR Signaling as Therapeutic Vulnerabilities

机译:抗他莫昔芬侵袭性小叶乳腺癌细胞的综合分子分析鉴定为治疗脆弱性的MAPK和GRM / mGluR信号传导

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Invasive lobular breast cancer (ILC) is an understudied malignancy with distinct clinical, pathological, and molecular features that distinguish it from the more common invasive ductal carcinoma (IDC). Mounting evidence suggests that estrogen receptor-alpha positive (ER+) ILC has a poor response to Tamoxifen (TAM), but the mechanistic drivers of this are undefined. In the current work, we comprehensively characterize the SUM44/LCCTam ILC cell model system through integrated analysis of gene expression, copy number, and mutation, with the goal of identifying actionable alterations relevant to clinical ILC that can be co-targeted along with ER to improve treatment outcomes. We show that TAM has several distinct effects on the transcriptome of LCCTam cells, that this resistant cell model has acquired copy number alterations and mutations that impinge on MAPK and metabotropic glutamate receptor (GRM/mGluR) signaling networks, and that pharmacological inhibition of either improves or restores the growth-inhibitory actions of endocrine therapy.
机译:侵袭性小叶性乳腺癌(ILC)是一种未被充分研究的恶性肿瘤,具有独特的临床,病理和分子特征,可将其与更常见的浸润性导管癌(IDC)区分开。越来越多的证据表明,雌激素受体-α阳性(ER +)ILC对他莫昔芬(TAM)的反应较差,但尚不清楚其机制驱动因素。在当前的工作中,我们通过对基因表达,拷贝数和突变的综合分析来全面表征SUM44 / LCCTam ILC细胞模型系统,目的是确定与ER共同靶向的与临床ILC相关的可行变化。改善治疗效果。我们显示TAM对LCCTam细胞的转录组具有几个独特的影响,该耐药细胞模型已获得了影响MAPK和代谢型谷氨酸受体(GRM / mGluR)信号网络的拷贝数变化和突变,并且这两种药理抑制作用均得到改善或恢复内分泌治疗的生长抑制作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号