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功能性癌基因特征指导合理设计的联合疗法以协同诱导乳腺癌细胞死亡。

Functional oncogene signatures guide rationally designed combination therapies to synergistically induce breast cancer cell death.

作者信息

Guest Stephen T, Kratche Zachary R, Irish Jonathan C, Wilson Robert C, Haddad Ramsi, Gray Joe W, Garrett-Mayer Elizabeth, Ethier Stephen P

机构信息

Department of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.

Department of Biomedical Engineering, Oregon Health and Sciences University, Portland, Oregon, USA.

出版信息

Oncotarget. 2016 Jun 14;7(24):36138-36153. doi: 10.18632/oncotarget.9147.

Abstract

A critical first step in the personalized approach to cancer treatment is the identification of activated oncogenes that drive each tumor. The Identification of driver oncogenes on a patient-by-patient basis is complicated by the complexity of the cancer genome and the fact that a particular genetic alteration may serve as a driver event only in a subset of tumors that harbor it. In this study, we set out to identify the complete set of functional oncogenes in a small panel of breast cancer cell lines. The cell lines in this panel were chosen because they each contain a known receptor tyrosine kinase (RTK) oncogene. To identify additional drivers, we integrated functional genetic screens with copy number and mutation analysis, and cancer genome knowledge databases. The resulting functional oncogene signatures were able to predict responsiveness of cell lines to targeted inhibitors. However, as single agents, these drugs had little effect on clonogenic potential. By contrast, treatment with drug combinations that targeted multiple oncogenes in the signatures, even at very low doses, resulted in the induction of apoptosis and striking synergistic effects on clonogenicity. In particular, targeting a driver oncogene that mediates AKT phosphorylation in combination with targeting the anti-apoptotic BCL2L1 protein had profound effects on cell viability. Importantly, because the synergistic induction of cell death was achieved using low levels of each individual drug, it suggests that a therapeutic strategy based on this approach could avoid the toxicities that have been associated with the combined use of multiple-targeted agents.

摘要

癌症个性化治疗的关键第一步是识别驱动每个肿瘤的激活癌基因。逐个患者识别驱动癌基因因癌症基因组的复杂性以及特定基因改变可能仅在携带该改变的一部分肿瘤中作为驱动事件这一事实而变得复杂。在本研究中,我们着手在一小群乳腺癌细胞系中识别完整的功能性癌基因集。选择该细胞系群是因为它们各自含有一个已知的受体酪氨酸激酶(RTK)癌基因。为了识别其他驱动基因,我们将功能基因筛选与拷贝数和突变分析以及癌症基因组知识数据库相结合。由此产生的功能性癌基因特征能够预测细胞系对靶向抑制剂的反应性。然而,作为单一药物,这些药物对克隆形成潜力几乎没有影响。相比之下,用靶向特征中多个癌基因的药物组合进行治疗,即使剂量非常低,也会导致细胞凋亡的诱导以及对克隆形成的显著协同效应。特别是,靶向介导AKT磷酸化的驱动癌基因并结合靶向抗凋亡BCL2L1蛋白对细胞活力有深远影响。重要的是,由于使用低水平的每种单独药物就能实现细胞死亡的协同诱导,这表明基于这种方法的治疗策略可以避免与联合使用多靶点药物相关的毒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29fd/5094989/ce4ac468f532/oncotarget-07-36138-g001.jpg

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