Vyse Simon, Howitt Annie, Huang Paul H
Division of Cancer Biology, The Institute of Cancer Research, London, SW3 6JB, UK.
Division of Cancer Biology, The Institute of Cancer Research, London, SW3 6JB, UK.
J Mol Biol. 2017 Jun 16;429(12):1767-1786. doi: 10.1016/j.jmb.2017.04.018. Epub 2017 May 3.
Despite the recent approval of third-generation therapies, overcoming resistance to epidermal growth factor receptor (EGFR) inhibitors remains a major challenge in non-small cell lung cancer. Conceptually, synthetic lethality holds the promise of identifying non-intuitive targets for tackling both acquired and intrinsic resistance in this setting. However, translating these laboratory findings into effective clinical strategies continues to be elusive. Here, we provide an overview of the synthetic lethal approaches that have been employed to study EGFR inhibitor resistance and review the oncogene and non-oncogene signalling mechanisms that have thus far been unveiled by synthetic lethality screens. We highlight the potential challenges associated with progressing these discoveries into the clinic including context dependency, signalling plasticity, and tumour heterogeneity, and we offer a perspective on emerging network biology and computational solutions to exploit these phenomena for cancer therapy and biomarker discovery. We conclude by presenting a number of tangible steps to bolster our understanding of fundamental synthetic lethality mechanisms and advance these findings beyond the confines of the laboratory.
尽管最近第三代疗法已获批准,但克服对表皮生长因子受体(EGFR)抑制剂的耐药性仍是非小细胞肺癌的一项重大挑战。从概念上讲,合成致死性有望为解决这种情况下的获得性和固有耐药性确定非直观的靶点。然而,将这些实验室研究结果转化为有效的临床策略仍然难以实现。在此,我们概述了用于研究EGFR抑制剂耐药性的合成致死方法,并回顾了迄今为止通过合成致死筛选揭示的癌基因和非癌基因信号传导机制。我们强调了将这些发现推进到临床所面临的潜在挑战,包括背景依赖性、信号可塑性和肿瘤异质性,并就新兴的网络生物学和计算解决方案提供了一个观点,以利用这些现象进行癌症治疗和生物标志物发现。我们通过提出一些切实可行的步骤来加深我们对基本合成致死机制的理解,并将这些发现推广到实验室之外,从而得出结论。