Inflammatory Bowel Disease Induces Colorectal Cancer: Risk Factors, Triggering Mechanisms, and Treatment With Phyto‐Derivatives

医学 发病机制 炎症性肠病 炎症 结直肠癌 癌症 恶性肿瘤 疾病 溃疡性结肠炎 生物信息学 胃肠病学 癌症研究 免疫学 内科学 生物
作者
Yuyu Zhang,Ying Zhang,Shiyi Yao,Liping Chen,Qin Dong,Ranwen Luo,Kaiyue Zheng,Jing Liu,Yiming Liu,Yutong Chen,Yuxin He,Zhejie Chen,Ling Li
出处
期刊:Phytotherapy Research [Wiley]
卷期号:39 (8): 3386-3418 被引量:5
标识
DOI:10.1002/ptr.70015
摘要

Colorectal cancer (CRC), one of the most prevalent malignant neoplasms, ranks as a leading cause of cancer-related mortality on a global scale. A particularly aggressive variant of CRC is colitis-associated colon cancer (CAC). Patients with chronic inflammatory bowel disease (IBD) are at increased risk for CAC. The pathogenesis of CAC is influenced by numerous factors and is highly complex. Due to the complexity of the mechanism by which chronic inflammation of the intestine leads to the transformation of colorectal cancer, there is currently no standardized strategy for the advance prophylaxis of CAC. Significantly, phyto-derivatives exhibit significant potential in the prevention of CAC. Currently, researches have demonstrated that natural products extracted from plants including polyphenols, alkaloids, saponins, terpenoids, polysaccharides, and plant extracellular vesicles can achieve significant anti-inflammatory, antioxidant, and gut microbiota regulating activities through oral administration. It is a valuable opportunity for the application of natural products in chronic intestinal inflammation to inhibit the transformation of intestinal inflammation into malignancy. In this review, we provide a comprehensive analysis of the predisposing factors and pathogenesis of CAC, along with the mechanisms through which various plant-derived compounds inhibit CAC development. This work aims to provide innovative and practical treatment strategies for the prevention of CAC.
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
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
Hello应助张鑫德采纳,获得10
刚刚
嘻嘻哈哈发布了新的文献求助10
刚刚
Hanif5329完成签到,获得积分10
1秒前
lanming完成签到,获得积分10
2秒前
Zfancy发布了新的文献求助30
3秒前
3秒前
小蘑菇应助追风少年采纳,获得10
3秒前
FashionBoy应助Shelley采纳,获得10
3秒前
小徐同志完成签到,获得积分10
3秒前
Goob完成签到,获得积分10
4秒前
cyd123完成签到,获得积分10
5秒前
cy完成签到,获得积分10
6秒前
Lucas应助璐璇采纳,获得10
7秒前
7秒前
所所应助Zfancy采纳,获得30
8秒前
星辰大海应助blue采纳,获得10
9秒前
lx应助Goob采纳,获得10
9秒前
9秒前
9秒前
10秒前
科研通AI6.2应助jzzj采纳,获得10
11秒前
11秒前
小米的稻田完成签到 ,获得积分10
11秒前
12秒前
ssss发布了新的文献求助10
13秒前
不安的连虎完成签到,获得积分10
14秒前
852应助roe采纳,获得10
14秒前
14秒前
14秒前
15秒前
西瓜发布了新的文献求助10
15秒前
16秒前
v0id应助不安书雁采纳,获得10
16秒前
思源应助Liulu采纳,获得10
17秒前
sss的擎宇发布了新的文献求助30
17秒前
17秒前
粒子完成签到,获得积分10
21秒前
xinl518发布了新的文献求助10
21秒前
哈哈哈发布了新的文献求助10
21秒前
RJ发布了新的文献求助10
22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
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734581
求助须知:如何正确求助?哪些是违规求助? 9284917
关于积分的说明 20167389
捐赠科研通 7312484
什么是DOI,文献DOI怎么找? 3304671
关于科研通互助平台的介绍 2457289
邀请新用户注册赠送积分活动 2313974