Research Progress in Traditional Chinese Medicine for the Treatment of Breast Cancer

医学 中医药 乳腺癌 重症监护医学 精密医学 不利影响 替代医学 药品 临床试验 癌症 传统医学 中西医结合 生活质量(医疗保健) 标准化 肿瘤科 辅助医学 临床疗效 癌症治疗 梅德林 药理学 药物开发 抗癌药 化疗 临床研究 联合疗法 功效 死因 药物治疗 癌症治疗 生物信息学 临床治疗 靶向治疗 个性化医疗
作者
Lankang Wang,Baoyi Ni,Lutuo Han,wencheng Chi,Yang Wu,Jiakang Jiang
出处
期刊:The American Journal of Chinese Medicine [World Scientific]
卷期号:54 (02): 411-444
标识
DOI:10.1142/s0192415x26500151
摘要

Breast cancer (BC) is a major cause of cancer-related mortality worldwide. While mainstream anticancer therapies have improved clinical outcomes, they are often associated with significant toxicity and drug resistance. Traditional Chinese medicine (TCM) has received increasing recognition as a valuable complementary approach in oncology. This review summarizes the current evidence supporting the integrative use of TCM in BC management. Clinical studies indicate that TCM formulations can alleviate the adverse effects induced by chemotherapy and targeted therapy to thereby enhance patients' quality of life and treatment adherence. As an adjuvant, TCM also shows the potential to improve both the efficacy of conventional treatments and survival outcomes. Preclinical investigations reveal that bioactive herbal compounds exert multi-target antitumor effects by modulating key mechanisms such as programmed cell death, proliferation, metastasis, cell-cycle progression, drug resistance, aerobic glycolysis, and antitumor immunity. Furthermore, advanced drug delivery systems are being developed to overcome the inherent limitations of herbal compounds. However, challenges which warrant further investigation, including heterogeneous study designs, the standardization of formulations, and potential herb-drug interactions, remain under-explored. Overall, TCM represents a promising complementary strategy for BC. Future efforts should prioritize well-designed clinical trials, mechanistic elucidation, and the development of integrated precision medicine models to optimize patient care.
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
搜集达人应助机智苗采纳,获得10
刚刚
雍以菱发布了新的文献求助20
1秒前
ansteel应助勤恳的向日葵采纳,获得10
1秒前
2025alex发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
CipherSage应助苏子寒采纳,获得10
2秒前
酷炫傲安发布了新的文献求助10
2秒前
小徐完成签到,获得积分20
3秒前
3秒前
得鹿梦鱼完成签到,获得积分10
4秒前
Chiuchiu完成签到,获得积分10
4秒前
5秒前
uu完成签到 ,获得积分10
5秒前
ikun完成签到 ,获得积分10
6秒前
乐观哑铃关注了科研通微信公众号
7秒前
7秒前
7秒前
欸嘿完成签到,获得积分10
8秒前
坚强豪英发布了新的文献求助10
9秒前
JamesPei应助背后老太采纳,获得10
9秒前
9秒前
10秒前
10秒前
10秒前
敏感的怜寒完成签到,获得积分20
11秒前
11秒前
欸嘿发布了新的文献求助10
11秒前
恸嗵彤发布了新的文献求助10
11秒前
yjh123应助顺心乌采纳,获得30
12秒前
orixero应助博修采纳,获得10
13秒前
啵啵小白发布了新的文献求助10
14秒前
苏子寒发布了新的文献求助10
15秒前
时玖发布了新的文献求助10
16秒前
ZSY发布了新的文献求助10
16秒前
King应助追寻梦之采纳,获得30
16秒前
愉快的觅云完成签到,获得积分10
16秒前
ding应助崖涯采纳,获得10
17秒前
背后妙旋发布了新的文献求助10
18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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
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 7607804
求助须知:如何正确求助?哪些是违规求助? 9183764
关于积分的说明 19670902
捐赠科研通 7181905
什么是DOI,文献DOI怎么找? 3269908
关于科研通互助平台的介绍 2433631
邀请新用户注册赠送积分活动 2264260