Traditional Chinese medicine reverses cancer multidrug resistance and its mechanism

医学 多重耐药 化疗 临床试验 癌症 癌症研究 癌症治疗 癌症干细胞 机制(生物学) 抗药性 中医药 生物信息学 药理学 癌细胞 内科学 病理 生物 认识论 哲学 替代医学 微生物学
作者
Jiahui Wei,Zhilin Liu,Jie He,Qin-dong Liu,Yiran Lu,Song He,Bao Yuan,Jingwei Zhang,Yu‐Qiang Ding
出处
期刊:Clinical & Translational Oncology [Springer Science+Business Media]
卷期号:24 (3): 471-482 被引量:64
标识
DOI:10.1007/s12094-021-02716-4
摘要

Chemotherapy is one of the most commonly used clinical treatments among the currently available cancer therapies. However, the phenomenon of Multidrug resistance (MDR) has become a challenge in the treatment process, weakening the impact of chemotherapy. Extensive research on elucidating the development of cancer MDR has identified the following mechanisms that play a critical role in the development of several MDR reversal agents: abnormal expression of cell membrane transporters, adaptation of cancer cells to the microenvironment, regulation of hypoxia, repair of DNA damage and reduction of apoptosis, the enhancement of the EMT process, the existence of cancer stem cells (CSCs), and the abnormal activation of key signaling pathways. However, they failed to demonstrate significant efficacy due to severe side effects during their clinical trials. Traditional Chinese medicines (TCMs) are known to play an important anti-cancer role since they have low toxicity, high efficacy, and safety and can reverse MDR. TCMs reversal agents can be divided into Chinese medicine monomers, synthetic monomers, analogs, or derivatives. Several studies have shown that TCMs can effectively overcome cancer MDR and can be effectively used for treating cancer patients.
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
刚刚
一耶随风完成签到,获得积分10
1秒前
orixero应助无敌阿东采纳,获得10
1秒前
多肉考拉完成签到,获得积分10
1秒前
哄哄完成签到,获得积分10
2秒前
2秒前
所所应助陈嘟嘟采纳,获得10
2秒前
2秒前
汉堡包应助仁爱的狗采纳,获得10
2秒前
3秒前
现代的烤鸡完成签到,获得积分10
4秒前
oldyang发布了新的文献求助10
5秒前
lilizhou完成签到,获得积分10
5秒前
JamesPei应助01采纳,获得10
5秒前
Orange应助丫丫采纳,获得10
5秒前
5秒前
6秒前
6秒前
万能图书馆应助Pipi采纳,获得10
6秒前
6秒前
haiferse完成签到 ,获得积分10
7秒前
8秒前
eve发布了新的文献求助10
9秒前
10秒前
10秒前
11秒前
小亮哈哈发布了新的文献求助10
11秒前
深情安青应助机灵的安青采纳,获得10
11秒前
风清扬发布了新的文献求助10
11秒前
清元渌雨真君完成签到,获得积分10
11秒前
12秒前
12秒前
星星发布了新的文献求助10
12秒前
天真宛筠发布了新的文献求助10
12秒前
搜集达人应助天真的追命采纳,获得10
13秒前
北海北发布了新的文献求助30
13秒前
一只黑的白羊完成签到,获得积分10
13秒前
内向以彤完成签到,获得积分10
13秒前
13秒前
liyyyyy发布了新的文献求助10
14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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363774
求助须知:如何正确求助?哪些是违规求助? 8177716
关于积分的说明 17234880
捐赠科研通 5418841
什么是DOI,文献DOI怎么找? 2867276
邀请新用户注册赠送积分活动 1844435
关于科研通互助平台的介绍 1691887