Discovery of tetrazolo-pyridazine-based small molecules as inhibitors of MACC1-driven cancer metastasis

哒嗪 转移 癌症研究 小分子 癌症 化学 体外 肿瘤科 医学 内科学 生物化学 立体化学
作者
Shudong Yan,Paul Curtis Schöpe,Joe Lewis,Kerstin Putzker,Ulrike Uhrig,Edgar Specker,Jens Peter von Kries,Peter Lindemann,Anahid Omran,Héctor E. Sánchez-Ibarra,Anke Unger,Mia-Lisa Zischinsky,Bert Klebl,Wolfgang Walther,Marc Nazaré,Dennis Kobelt,Ulrike Stein
出处
期刊:Biomedicine & Pharmacotherapy [Elsevier]
卷期号:168: 115698-115698
标识
DOI:10.1016/j.biopha.2023.115698
摘要

Metastasis is directly linked to poor prognosis of cancer patients and warrants search for effective anti-metastatic drugs. MACC1 is a causal key molecule for metastasis. High MACC1 expression is prognostic for metastasis and poor survival. Here, we developed novel small molecule inhibitors targeting MACC1 expression to impede metastasis formation. We performed a human MACC1 promoter-driven luciferase reporter-based high-throughput screen (HTS; 118.500 compound library) to identify MACC1 transcriptional inhibitors. HTS revealed 1,2,3,4-tetrazolo[1,5-b]pyridazine-based compounds as efficient transcriptional inhibitors of MACC1 expression, able to decrease MACC1-induced cancer cell motility in vitro. Structure-activity relationships identified the essential inhibitory core structure. Best candidates were evaluated for metastasis inhibition in xenografted mouse models demonstrating metastasis restriction. ADMET showed high drug-likeness of these new candidates for cancer therapy. The NFκB pathway was identified as one mode of action targeted by these compounds. Taken together, 1,2,3,4-tetrazolo[1,5-b]pyridazine-based compounds are effective MACC1 inhibitors and pose promising candidates for anti-metastatic therapies particularly for patients with MACC1-overexpressing cancers, that are at high risk to develop metastases. Although further preclinical and clinical development is necessary, these compounds represent important building blocks for an individualized anti-metastatic therapy for solid cancers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
汉堡包应助神内小大夫采纳,获得10
刚刚
小蘑菇应助啦啦啦采纳,获得10
刚刚
寥远星空完成签到,获得积分10
1秒前
1秒前
周奥金应助zz采纳,获得10
2秒前
天天快乐应助Twwwhhh采纳,获得10
3秒前
zmu-yjy发布了新的文献求助10
4秒前
科研通AI2S应助Mars夜愿采纳,获得10
5秒前
无花果应助Mars夜愿采纳,获得10
5秒前
lww完成签到,获得积分10
5秒前
6秒前
熊二浪发布了新的文献求助10
6秒前
顾矜应助小玲仔采纳,获得10
9秒前
9秒前
10秒前
mdbbs2021完成签到,获得积分10
10秒前
鹿鹿发布了新的文献求助10
10秒前
10秒前
11秒前
centlay应助虎橘采纳,获得10
11秒前
上官若男应助图兰采纳,获得10
12秒前
zmu-yjy完成签到,获得积分10
12秒前
Noah发布了新的文献求助10
12秒前
汉堡包应助英勇的寒蕾采纳,获得10
12秒前
科研通AI2S应助SFYIII采纳,获得10
12秒前
markerfxq发布了新的文献求助10
13秒前
13秒前
非鱼发布了新的文献求助10
14秒前
华仔应助AoAoo采纳,获得10
14秒前
清爽秋发布了新的文献求助10
15秒前
C123完成签到 ,获得积分10
15秒前
今后应助车剑锋采纳,获得10
15秒前
16秒前
17秒前
17秒前
18秒前
多肉女士发布了新的文献求助10
18秒前
云鹊发布了新的文献求助10
18秒前
19秒前
20秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
comprehensive molecular insect science 1000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2481476
求助须知:如何正确求助?哪些是违规求助? 2144203
关于积分的说明 5468763
捐赠科研通 1866692
什么是DOI,文献DOI怎么找? 927740
版权声明 563039
科研通“疑难数据库(出版商)”最低求助积分说明 496382