The Potential Mechanisms of Cinobufotalin Treating Colon Adenocarcinoma by Network Pharmacology

信号转导 PI3K/AKT/mTOR通路 细胞生长 癌症研究 医学 生物 细胞生物学 遗传学
作者
Jiyan Wang,Hongkai Chang,Meng Su,Huifang Zhao,Yaya Qiao,Yu Wang,Luqing Shang,Changliang Shan,Shuai Zhang
出处
期刊:Frontiers in Pharmacology [Frontiers Media SA]
卷期号:13 被引量:7
标识
DOI:10.3389/fphar.2022.934729
摘要

Network pharmacology, as a novel way using bioinformatics to explore drug targets and interactions in cancer, broadens our understanding of drug action, thereby facilitating drug discovery. Here, we utilized network pharmacology to explore the role and mechanism by which cinobufotalin functions in colon adenocarcinoma (COAD). We found that cinobufotalin represses the growth and proliferation of colon cancer cells, and integrated public databases for targets reported to be associated with COAD, together with those predicted to be targets of cinobufotalin. Targets overlapped between COAD-associated proteins and cinobufotalin target proteins were used to filter candidate targets of cinobufotalin in COAD. The following proteins were thought to occupy a key position in COAD-cinobufotalin target networks: SRC, PIK3R1, MAPK1, PIK3CA, HSP90AA1, CTNNB1, GRB2, RHO1, PTPN11, and EGFR. The networks regulated by cinobufotalin were involved mainly in extracellular signal stimulation and transduction, including MAPK signaling pathway, PI3K-AKT signaling pathway, and JAK-STAT signaling pathway. Besides, transcriptome sequencing results also indicated that cinobufotalin inhibits the response of colon cancer cells to extracellular stimulation and promotes cell apoptosis. Molecular docking results showed that cinobufotalin matches in the pocket of the top candidate cinobufotalin target proteins (SRC, PIK3R1, MAPK1 and PIK3CA). These findings demonstrate cinobufotalin can be developed as potential anti-cancer therapeutics.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
烂番茄完成签到 ,获得积分10
刚刚
情怀应助tang采纳,获得10
刚刚
刚刚
xiaoxiao完成签到,获得积分10
刚刚
SciGPT应助idiot采纳,获得10
1秒前
科研小牛马完成签到 ,获得积分10
1秒前
朱小小发布了新的文献求助10
2秒前
Kobe完成签到,获得积分10
2秒前
杰杰杰杰发布了新的文献求助10
2秒前
锅锅同学完成签到,获得积分10
2秒前
量子星尘发布了新的文献求助10
3秒前
3秒前
wwwwwww完成签到,获得积分10
4秒前
NexusExplorer应助豆豆采纳,获得10
4秒前
4秒前
5秒前
大个应助zheng-homes采纳,获得10
5秒前
wei发布了新的文献求助10
5秒前
5秒前
充电宝应助王佳汝采纳,获得10
6秒前
rob完成签到,获得积分10
6秒前
33988发布了新的文献求助10
6秒前
稳重完成签到 ,获得积分10
6秒前
示羊完成签到,获得积分10
7秒前
暖落完成签到,获得积分10
7秒前
7秒前
朱小小完成签到,获得积分10
8秒前
8秒前
无敌大好人完成签到,获得积分10
8秒前
9秒前
粗犷的F发布了新的文献求助10
9秒前
ChiahaoKuo完成签到,获得积分10
9秒前
bkagyin应助Even采纳,获得10
9秒前
流云完成签到,获得积分10
9秒前
吕万鹏完成签到,获得积分10
9秒前
醉清风完成签到 ,获得积分10
10秒前
执着绿草完成签到 ,获得积分10
10秒前
缓慢沁完成签到,获得积分10
10秒前
10秒前
TONG发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6067150
求助须知:如何正确求助?哪些是违规求助? 7899335
关于积分的说明 16325652
捐赠科研通 5208967
什么是DOI,文献DOI怎么找? 2786425
邀请新用户注册赠送积分活动 1769185
关于科研通互助平台的介绍 1647835