Design, Synthesis, Docking Studies, and Investigation of Dual EGFR/VEGFR-2 Inhibitory Potentials of New Pyrazole and Pyrazolopyridine Derivatives.

来自 PUBMED

作者:

Alhamaky SMKhalil NABass AKAOsama NHassan MSA

展开

摘要:

The anticancer potential of certain newly synthesized pyrazole and pyrazolopyridine derivatives has been estimated. NCI 60 cancer cells cytotoxic screening pointed out compounds 3e and 3f as the highest cytotoxic agents with % mean growth inhibition of 67.69% and 87.34%, respectively. The five dose outcomes outlined 3f as the most potent cytotoxic agent with promising MG-MID GI50 = 3.3 µM when compared to erlotinib (MG-MID GI50 = 7.68 µM). In the in vitro assays, compounds 3d, 3e, 3f, and 4a demonstrated dual inhibitory potential on EGFRWT and VEGFR-2 with IC50 range of 0.066-0.184 µM and 0.102-0.418 µM, respectively. The best dual EGFR/VEGRF-2 inhibitory effect was shown by the compound 3f. Moreover, the latter compound stopped the cell cycle at the G1/S phase. Also, it greatly boosted total apoptosis, including early and late apoptosis, by 54.5- and 84.7-fold, respectively, which supposes HCT-116 cell death via inducing apoptosis. This was confirmed by the elevation of the BAX and caspase-3 levels, and the decreased BCL-2 level. Moreover, the safety of the most active compound 3f was assessed and the results showed promising selectivity of compound 3f toward HCT-116 over FHC (selectivity index [SI]: 20.84) when compared to erlotinib (SI: 3.42). Finally, compound 3f demonstrated efficient binding to both EGFR and VEGFR-2 enzymes, which could explain the sufficient inhibition level of each enzyme.

收起

展开

DOI:

10.1002/ddr.70056

被引量:

0

年份:

2025

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(100)

参考文献(0)

引证文献(0)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读