Suppr超能文献

基质金属蛋白酶抑制剂与癌症治疗试验:局限与未来展望

MMP inhibitors and cancer treatment trials, limitations and hopes for the future.

作者信息

Tlatli R, El Ayeb M

机构信息

Commissariat á l'Energie Atomique, Service d'Ingénierie Moléculaire des Protéines, Bat 152, CE-Saclay, 91191 Gif/Yvette, Cedex, France.

出版信息

Arch Inst Pasteur Tunis. 2013;90(1-4):3-21.

Abstract

Matrix metalloproteinases (MMPs) are a family of enzymes that have been recognized as promising therapeutic and diagnostic targets for the treatment and detection of human cancers. This rises from their unique ability to degrade all components of the extracellular matrix and their overexpression at different stages of tumor progression. The specific involvement of MMPs in the oncogenic processes has speeded up the efforts that have been made for the past 20 years to develop and evaluate MMP inhibitors (MMPIs) as potential anti-cancer agents. However, bringing an MMPI to the point of clinical approval is still a challenge. In this review, we provide an overview of the structure and function of MMPs along with their implication in cancer development. Furthermore, we focus on the literature concerning the development of broad spectrum natural and synthetic MMPIs, with emphasis on their limitations and the disappointing results of most clinical trials. The failure of broad spectrum MMPIs highlighted the need for the development of selective inhibitors that fully discriminate between different members of the MMP family. As a future perspective on the development of potent MMPIs, we also report in this review a novel structure-based strategy developed in our group to design new mini-protein ligands for MMP inhibition by functional motif grafting.

摘要

基质金属蛋白酶(MMPs)是一类酶,已被公认为是治疗和检测人类癌症的有前景的治疗和诊断靶点。这源于它们降解细胞外基质所有成分的独特能力以及它们在肿瘤进展不同阶段的过度表达。MMPs在致癌过程中的具体参与加速了过去20年为开发和评估MMP抑制剂(MMPIs)作为潜在抗癌药物所做的努力。然而,将一种MMPI推进到临床批准阶段仍然是一项挑战。在这篇综述中,我们概述了MMPs的结构和功能以及它们在癌症发展中的作用。此外,我们重点关注有关广谱天然和合成MMPIs开发的文献,强调它们的局限性以及大多数临床试验令人失望的结果。广谱MMPIs的失败凸显了开发能充分区分MMP家族不同成员的选择性抑制剂的必要性。作为强效MMPIs开发的未来展望,我们在这篇综述中还报告了我们团队开发的一种基于结构的新策略,即通过功能基序嫁接设计用于抑制MMP的新型小蛋白配体。

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