• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

抗癌靶点的探索趋势及提高药物靶向作用疗效的策略。

Trends in the exploration of anticancer targets and strategies in enhancing the efficacy of drug targeting.

机构信息

Department of Pharmacy, National University of Singapore, Singapore.

出版信息

Curr Mol Pharmacol. 2008 Nov;1(3):213-32. doi: 10.2174/1874467210801030213.

DOI:10.2174/1874467210801030213
PMID:20021435
Abstract

A number of therapeutic targets have been explored for developing anticancer drugs. Continuous efforts have been directed at the discovery of new targets as well as the improvement of therapeutic efficacy of agents directed at explored targets. There are 84 and 488 targets of marketed and investigational drugs for the treatment of cancer or cancer related illness. Analysis of these targets, particularly those of drugs in clinical trials and US patents, provides useful information and perspectives about the trends, strategies and progresses in targeting key cancer-related processes and in overcoming the difficulties in developing efficacious drugs against these targets. The efficacy of anticancer drugs directed at these targets is frequently compromised by counteractive molecular interactions and network crosstalk, negative and adverse secondary effects of drugs, and undesired ADMET profiles. Multi-component therapies directed at multiple targets and improved drug targeting methods are being explored for alleviating these efficacy-reducing processes. Investigation of the modes of actions of these combinations and targeting methods offers clues to aid the development of more effective anticancer therapies.

摘要

已经探索了许多治疗靶点来开发抗癌药物。人们一直在努力发现新的靶点,并提高针对已探索靶点的药物的治疗效果。目前有 84 种和 488 种已上市和正在研究的药物靶点用于治疗癌症或与癌症相关的疾病。对这些靶点的分析,特别是对临床试验和美国专利中的药物靶点的分析,提供了有关针对关键癌症相关过程的靶向治疗趋势、策略和进展的有用信息和观点,以及克服针对这些靶点开发有效药物的困难的信息。针对这些靶点的抗癌药物的疗效经常受到拮抗分子相互作用和网络串扰、药物的负性和不良反应以及不理想的 ADMET 特征的影响。目前正在探索针对多个靶点的多组分疗法和改进的药物靶向方法,以缓解这些降低疗效的过程。对这些组合和靶向方法的作用模式的研究为辅助开发更有效的抗癌疗法提供了线索。

相似文献

1
Trends in the exploration of anticancer targets and strategies in enhancing the efficacy of drug targeting.抗癌靶点的探索趋势及提高药物靶向作用疗效的策略。
Curr Mol Pharmacol. 2008 Nov;1(3):213-32. doi: 10.2174/1874467210801030213.
2
Trends in exploration of therapeutic targets.治疗靶点探索的趋势。
Drug News Perspect. 2005 Mar;18(2):109-27. doi: 10.1358/dnp.2005.18.2.886480.
3
Epigenome-derived drugs: recent advances and future perspectives.表观基因组衍生药物:最新进展与未来展望
Drug News Perspect. 2007 Dec;20(10):627-33. doi: 10.1358/dnp.2007.20.10.1181356.
4
Progress and problems in the exploration of therapeutic targets.治疗靶点探索中的进展与问题
Drug Discov Today. 2006 May;11(9-10):412-20. doi: 10.1016/j.drudis.2006.03.012.
5
Overview on Anticancer Drug Design and Development.抗癌药物设计与开发概述。
Curr Med Chem. 2018;25(15):1704-1719. doi: 10.2174/0929867325666171129215610.
6
[Development of antituberculous drugs: current status and future prospects].[抗结核药物的研发:现状与未来前景]
Kekkaku. 2006 Dec;81(12):753-74.
7
Trends in the exploration of therapeutic targets for the treatment of endocrine, metabolic and immune disorders.内分泌、代谢和免疫疾病治疗靶点的探索趋势。
Endocr Metab Immune Disord Drug Targets. 2007 Sep;7(3):225-31. doi: 10.2174/187153007781662576.
8
Co-targeting cancer drug escape pathways confers clinical advantage for multi-target anticancer drugs.共同靶向癌症药物逃逸途径可为多靶点抗癌药物带来临床优势。
Pharmacol Res. 2015 Dec;102:123-31. doi: 10.1016/j.phrs.2015.09.019. Epub 2015 Oct 9.
9
Phosphatases as targets for cancer treatment.磷酸酶作为癌症治疗的靶点。
Curr Opin Investig Drugs. 2009 Dec;10(12):1297-304.
10
Strategy for the development of novel anticancer drugs.新型抗癌药物的研发策略。
Cancer Chemother Pharmacol. 2003 Jul;52 Suppl 1:S97-101. doi: 10.1007/s00280-003-0596-x. Epub 2003 Jun 18.

引用本文的文献

1
Biomarker Discovery for Immunotherapy of Pituitary Adenomas: Enhanced Robustness and Prediction Ability by Modern Computational Tools.基于现代计算工具的垂体腺瘤免疫治疗的生物标志物发现:增强稳健性和预测能力。
Int J Mol Sci. 2019 Jan 3;20(1):151. doi: 10.3390/ijms20010151.
2
Prediction of GluN2B-CT/DAPK1 Interaction by Protein⁻Peptide Docking and Molecular Dynamics Simulation.通过蛋白-肽对接和分子动力学模拟预测 GluN2B-CT/DAPK1 相互作用。
Molecules. 2018 Nov 19;23(11):3018. doi: 10.3390/molecules23113018.
3
Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target.
通过其治疗靶点的网络和生物系统概况确定药物疗效与安全性之间的平衡。
Front Pharmacol. 2018 Oct 31;9:1245. doi: 10.3389/fphar.2018.01245. eCollection 2018.
4
Identification of novel immune-relevant drug target genes for Alzheimer's Disease by combining ontology inference with network analysis.通过本体论推理与网络分析相结合鉴定阿尔茨海默病新型免疫相关药物靶标基因。
CNS Neurosci Ther. 2018 Dec;24(12):1253-1263. doi: 10.1111/cns.13051. Epub 2018 Aug 14.
5
Discovery of the Consistently Well-Performed Analysis Chain for SWATH-MS Based Pharmacoproteomic Quantification.基于SWATH-MS的药物蛋白质组定量分析中始终表现良好的分析链的发现。
Front Pharmacol. 2018 Jun 26;9:681. doi: 10.3389/fphar.2018.00681. eCollection 2018.
6
Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate.从识别准确率和假发现率的角度评估蛋白质功能预测算法的性能。
Int J Mol Sci. 2018 Jan 8;19(1):183. doi: 10.3390/ijms19010183.
7
Circulating tumor and cancer stem cells in hepatitis C virus-associated liver disease.丙型肝炎病毒相关肝病中的循环肿瘤细胞和癌症干细胞
World J Gastroenterol. 2014 Dec 28;20(48):18240-8. doi: 10.3748/wjg.v20.i48.18240.
8
Targeting SET/I(2)PP2A oncoprotein functions as a multi-pathway strategy for cancer therapy.靶向 SET/I(2)PP2A 癌蛋白功能作为癌症治疗的多途径策略。
Oncogene. 2011 Jun 2;30(22):2504-13. doi: 10.1038/onc.2010.622. Epub 2011 Feb 7.
9
Elucidation of the molecular mechanisms of a salicylhydrazide class of compounds by proteomic analysis.通过蛋白质组学分析阐明水杨酰肼类化合物的分子机制。
Curr Cancer Drug Targets. 2009 Mar;9(2):189-201. doi: 10.2174/156800909787580971.