Suppr超能文献

抑制血管内皮生长因子受体信号通路在血管生成性肿瘤血管中的作用。

Inhibition of vascular endothelial growth factor receptor signaling in angiogenic tumor vasculature.

机构信息

SibTech, Inc., Brookfield, Connecticut 06804, USA.

Department of Microbiology and Immunology, New York Medical College, Valhalla, New York 10595, USA.

出版信息

Adv Genet. 2009;67:1-27. doi: 10.1016/S0065-2660(09)67001-2.

Abstract

Neovascularization takes place in a large number of pathologies, including cancer. Significant effort has been invested in the development of agents that can inhibit this process, and an increasing number of such agents, known as antiangiogenic drugs, are entering clinical trials or being approved for clinical use. The key players involved in the development and maintenance of tumor neovasculature are vascular endothelial growth factor (VEGF) and its receptors (VEGFRs), and therefore VEGF/VEGFR signaling pathways have been a focus of anticancer therapies for several decades. This review focuses on two main approaches designed to selectively target VEGFRs, inhibiting VEGFR with small molecule inhibitors of receptor tyrosine kinase activity and inhibiting the binding of VEGF to VEGFRs with specific antibodies or soluble decoy VEGF receptors. The major problem with these strategies is that they appeared to be effective only in relatively small and unpredictable subsets of patients. An alternative approach would be to subvert VEGFR for intracellular delivery of cytotoxic molecules. We describe here one such molecule, SLT-VEGF, a fusion protein containing VEGF121 and the highly cytotoxic catalytic subunit of Shiga-like toxin.

摘要

新生血管形成发生在许多疾病中,包括癌症。人们投入了大量精力来开发能够抑制这一过程的药物,越来越多的此类药物,即所谓的抗血管生成药物,正在进入临床试验或获得临床批准。参与肿瘤新生血管形成和维持的关键因素是血管内皮生长因子(VEGF)及其受体(VEGFR),因此,VEGF/VEGFR 信号通路已成为几十年来抗癌治疗的重点。本文重点介绍了两种旨在选择性靶向 VEGFR 的主要方法,即使用小分子抑制剂抑制受体酪氨酸激酶活性,以及使用特异性抗体或可溶性诱饵 VEGF 受体抑制 VEGF 与 VEGFR 的结合。这些策略的主要问题是,它们似乎仅在相对较小且不可预测的患者亚群中有效。另一种方法是将 VEGFR 颠覆为细胞内输送细胞毒性分子。我们在这里描述了一种这样的分子,即 SLT-VEGF,它是一种包含 VEGF121 和类志贺毒素高细胞毒性催化亚基的融合蛋白。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验