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蛋白通路激活图谱揭示了与乳腺癌细胞系中抗雌激素耐药相关的分子网络。

Protein pathway activation mapping reveals molecular networks associated with antiestrogen resistance in breast cancer cell lines.

机构信息

Department of Pathology, Josephine Nefkens Institute, Erasmus MC-University Medical Center Rotterdam, The Netherlands.

出版信息

Int J Cancer. 2012 Nov 1;131(9):1998-2007. doi: 10.1002/ijc.27489. Epub 2012 Mar 20.

Abstract

Previously, we have identified a panel of breast cancer antiestrogen resistance (BCAR) genes. Several of these genes have clinical relevance because mRNA or protein levels associate with tamoxifen resistance or tumor aggressiveness. We postulated that changes in activation status of protein signaling networks induced by BCAR genes may provide better insight into the mechanisms underlying antiestrogen resistance. Key signal transduction pathways were analyzed for changes in activation or expression using reverse-phase protein microarrays probed with 78 antibodies against signaling proteins with known roles in tumorigenesis. We used ZR-75-1-derived cell lines transduced with AKT1, AKT2, BCAR1, BCAR3, BCAR4, EGFR, GRB7, HRAS, HRAS(v12) or HEF1 and MCF7-derived cell lines transduced with BCAR3, BCAR4 or EGFR. In the antiestrogen-resistant cell lines, we observed increased phosphorylation of several pathways involved in cell proliferation and survival. All tamoxifen-resistant cell lines contained high levels of phosphorylated AKT and its biochemically linked substrates Forkhead box O1/3. The activation of ERBB2, ERBB3 and the downstream modulators focal adhesion kinase and SHC were activated in cells with overexpression of BCAR4. Remarkable differences were observed for the levels of activated AMPK alpha1, cyclins, STAT5, STAT6, ERK1/2 and BCL2. The comparison of the cell signaling networks in estrogen-dependent and -independent cell lines revealed biochemically linked kinase-substrate markers that comprised systemically activated signaling pathways involved in tamoxifen resistance. Our results show that this model provides insights into the molecular and cellular mechanisms of breast cancer progression and antiestrogen resistance. This knowledge may help the development of novel targeted treatments.

摘要

先前,我们已经鉴定了一组乳腺癌抗雌激素抵抗(BCAR)基因。其中一些基因具有临床相关性,因为 mRNA 或蛋白水平与他莫昔芬耐药或肿瘤侵袭性相关。我们推测,BCAR 基因诱导的蛋白信号网络激活状态的变化可能为抗雌激素耐药的机制提供更好的见解。使用针对已知在肿瘤发生中起作用的信号蛋白的 78 种抗体探测反相蛋白微阵列,分析关键信号转导途径的激活或表达变化。我们使用 ZR-75-1 衍生的细胞系转导 AKT1、AKT2、BCAR1、BCAR3、BCAR4、EGFR、GRB7、HRAS、HRAS(v12) 或 HEF1 和 MCF7 衍生的细胞系转导 BCAR3、BCAR4 或 EGFR。在抗雌激素耐药的细胞系中,我们观察到参与细胞增殖和存活的几条途径的磷酸化增加。所有他莫昔芬耐药细胞系均含有高水平的磷酸化 AKT 及其生化相关底物叉头框 O1/3。BCAR4 过表达的细胞中,ERBB2、ERBB3 及其下游调节剂粘着斑激酶和 SHC 的激活。对于激活的 AMPK alpha1、细胞周期蛋白、STAT5、STAT6、ERK1/2 和 BCL2 的水平,观察到显著差异。在雌激素依赖性和非依赖性细胞系中细胞信号网络的比较显示,包括涉及他莫昔芬耐药的系统性激活信号通路的生化相关激酶-底物标记物。我们的结果表明,该模型提供了对乳腺癌进展和抗雌激素耐药的分子和细胞机制的深入了解。这些知识可能有助于开发新的靶向治疗方法。

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