Suppr超能文献

双功能试剂的选择性细胞生长抑制和细胞毒性抗癌作用:一种DNA结合剂的设计策略。

Selective cytostatic and cytotoxic anticancer effects of bisfunctional agents: A strategy for the design of DNA binding agents.

作者信息

Spychała Jarosław

机构信息

Adam Mickiewicz University, Department of Chemistry, Poznań, Poland.

出版信息

Cancer Lett. 2009 Aug 28;281(2):203-12. doi: 10.1016/j.canlet.2009.02.026. Epub 2009 Mar 20.

Abstract

Various agents have been synthesized and proved useful for the National Cancer Institute's anticancer testing as potential new drugs, but most agents suffer side effects from their limited selectivity against cancer cells over healthy ones. Therefore, this paper attempts to describe drugs in terms of the level of tumor cell selectivity which they possess to define the features of molecules that are essential for useful cytotoxicity. Selected cyclic amidinothymine analogues (NSC 697864, NSC 697865, and NSC 697869) have nanomolar inhibitory activities against leukemia cell lines: CCRF-CEM, HL-60(TB), while bisfunctional cancer fighters NSC 702408 and NSC 702409, showing larger numbers of cytostatic and cytotoxic effects, in an extended conformation would probably adopt a similar to NSC 715653 conformation leaving both opposite H-bond donor groups at the same distance to interact with DNA in a similar way. Such specific interactions (cell line selectivity to unique mutated patterns) lower considerably the observed dose-response concentrations. This in vitro selectivity is shown to translate into in vivo efficacy indicated by the inflection in the cumulative testing curve.

摘要

已经合成了多种试剂,并证明它们作为潜在的新药可用于美国国立癌症研究所的抗癌测试,但大多数试剂由于对癌细胞和健康细胞的选择性有限而存在副作用。因此,本文试图根据它们所具有的肿瘤细胞选择性水平来描述药物,以定义对有用的细胞毒性至关重要的分子特征。选定的环状脒基胸腺嘧啶类似物(NSC 697864、NSC 697865和NSC 697869)对白血病细胞系CCRF-CEM、HL-60(TB)具有纳摩尔级抑制活性,而双功能抗癌剂NSC 702408和NSC 702409在伸展构象中显示出更多的细胞生长抑制和细胞毒性作用,可能会采用类似于NSC 715653的构象,使两个相对的氢键供体基团保持相同的距离,以类似的方式与DNA相互作用。这种特异性相互作用(对独特突变模式的细胞系选择性)大大降低了观察到的剂量反应浓度。这种体外选择性被证明可以转化为体内疗效,这由累积测试曲线中的拐点表明。

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