Nanotherapeutic strategies exploiting biological traits of cancer stem cells

材料科学 纳米技术
作者
Hongyu Wang,Wenjing Zhang,Yun Sun,Xican Xu,Xiaoyang Chen,Kexu Zhao,Zhao Yang,Huiyu Liu
出处
期刊:Bioactive Materials [Elsevier BV]
卷期号:50: 61-94 被引量:5
标识
DOI:10.1016/j.bioactmat.2025.03.016
摘要

Cancer stem cells (CSCs) represent a distinct subpopulation of cancer cells that orchestrate cancer initiation, progression, metastasis, and therapeutic resistance. Despite advances in conventional therapies, the persistence of CSCs remains a major obstacle to achieving cancer eradication. Nanomedicine-based approaches have emerged for precise CSC targeting and elimination, offering unique advantages in overcoming the limitations of traditional treatments. This review systematically analyzes recent developments in nanomedicine for CSC-targeted therapy, emphasizing innovative nanomaterial designs addressing CSC-specific challenges. We first provide a detailed examination of CSC biology, focusing on their surface markers, signaling networks, microenvironmental interactions, and metabolic signatures. On this basis, we critically evaluate cutting-edge nanomaterial engineering designed to exploit these CSC traits, including stimuli-responsive nanodrugs, nanocarriers for drug delivery, and multifunctional nanoplatforms capable of generating localized hyperthermia or reactive oxygen species. These sophisticated nanotherapeutic approaches enhance selectivity and efficacy in CSC elimination, potentially circumventing drug resistance and cancer recurrence. Finally, we present an in-depth analysis of current challenges in translating nanomedicine-based CSC-targeted therapies from bench to bedside, offering critical insights into future research directions and clinical implementation. This review aims to provide a comprehensive framework for understanding the intersection of nanomedicine and CSC biology, contributing to more effective cancer treatment modalities.
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
1秒前
DW应助霜降采纳,获得10
1秒前
1秒前
2秒前
维尼完成签到,获得积分10
2秒前
追寻的淇完成签到,获得积分10
2秒前
所所应助niu采纳,获得10
2秒前
2秒前
奶味蓝发布了新的文献求助10
2秒前
AWYF发布了新的文献求助10
3秒前
Zhangtao完成签到,获得积分10
4秒前
李子发布了新的文献求助10
4秒前
4秒前
4秒前
英吉利25发布了新的文献求助10
5秒前
zzz发布了新的文献求助10
5秒前
Abyssence发布了新的文献求助10
5秒前
爆米花应助showmelove采纳,获得10
5秒前
酷波er应助PAN采纳,获得10
6秒前
轩贝发布了新的文献求助10
7秒前
maguodrgon发布了新的文献求助30
7秒前
lllxxx发布了新的文献求助10
7秒前
7秒前
高菲发布了新的文献求助30
7秒前
Wz完成签到 ,获得积分10
8秒前
刘艳蝶完成签到,获得积分10
8秒前
Hello应助科研工具人采纳,获得10
9秒前
10秒前
11秒前
showmelove给showmelove的求助进行了留言
12秒前
syjjj完成签到,获得积分10
12秒前
12秒前
上官若男应助安子采纳,获得10
15秒前
zy95282发布了新的文献求助30
15秒前
科研通AI6.2应助安子采纳,获得10
15秒前
科研通AI6.2应助安子采纳,获得10
15秒前
16秒前
16秒前
17秒前
浅蓝色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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 7753870
求助须知:如何正确求助?哪些是违规求助? 9300580
关于积分的说明 20258016
捐赠科研通 7336253
什么是DOI,文献DOI怎么找? 3310583
关于科研通互助平台的介绍 2461826
邀请新用户注册赠送积分活动 2323717