Exosome-based Tumor Therapy: Opportunities and Challenges

微泡 外体 转移 癌症研究 血管生成 癌变 小RNA 医学 癌症 肿瘤微环境 生物 肿瘤细胞 基因 内科学 生物化学
作者
Chunmei Li,Xiaoming Hou,Peng Zhang,Juan Li,Xiaoguang Liu,Yuping Wang,Quanlin Guan,Yongning Zhou
出处
期刊:Current Drug Metabolism [Bentham Science Publishers]
卷期号:21 (5): 339-351 被引量:27
标识
DOI:10.2174/1389200221666200515103354
摘要

Background: Exosomes play an important role in transferring information among different cell types, as they transport materials from the cell membrane to the cytoplasm. They are involved not only in normal physiological functions, but also in the occurrence and development of a variety of diseases. Cancer is a major health problem affecting humans. Currently, exosomes are considered novel stars in tumor therapy. Objective: To present a review focusing on the role of exosomes in tumorigenesis and development and the possibility of treating tumors with exosome-targeted therapies or using exosomes as carriers. Methods: We reviewed literature related to the biological origin and function of exosomes and exosome-tumor relationship. Results: Exosomes are closely related to tumor immunity, angiogenesis, pre-metastasis microenvironment, chemoresistance, energy metabolism, etc. Tumor therapy involving the targeting of exosomes involves block the generation, secretion, uptake of exosomes, and elimination of circulating exosomes, and develop antitumor vaccines. Exosome as delivery vehicles can be loaded with chemotherapeutic drugs, therapeutic genes, and other therapeutic drugs to target cells. Prospects and challenges of exosome-based tumor therapy are also discussed. Conclusion: Exosomes are involved in multiple processes during tumor development and should be further studied as novel targets for cancer therapy.
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
one完成签到,获得积分10
刚刚
1秒前
蓝天的应助被滴滴答答采纳,获得10
2秒前
v0id的应助被滴滴答答采纳,获得10
2秒前
2秒前
时尚短靴完成签到,获得积分10
2秒前
李不言的应助被滴滴答答采纳,获得10
2秒前
蓝天的应助被滴滴答答采纳,获得10
2秒前
2秒前
Nsdy发布了新的文献求助10
2秒前
3秒前
干净的琦的应助被滴滴答答采纳,获得150
3秒前
Ava的应助被滴滴答答采纳,获得10
3秒前
冷艳的紫的应助被滴滴答答采纳,获得10
3秒前
李李李李完成签到,获得积分10
3秒前
wz发布了新的文献求助10
3秒前
3秒前
kjlee完成签到,获得积分0
4秒前
科研通AI6.2的应助被仁爱曼梅采纳,获得10
4秒前
5秒前
5秒前
5秒前
5秒前
科研通AI6.4的应助被从容幻波采纳,获得10
7秒前
sci发布了新的文献求助10
7秒前
7秒前
噜噜噜发布了新的文献求助10
7秒前
7秒前
wt发布了新的文献求助10
7秒前
Roxrena完成签到 ,获得积分10
8秒前
科研通AI6.4的应助被滴滴答答采纳,获得10
9秒前
科研通AI6.2的应助被滴滴答答采纳,获得10
9秒前
海带先生完成签到,获得积分10
9秒前
曾小凡完成签到,获得积分10
9秒前
科研通AI6.4的应助被滴滴答答采纳,获得10
9秒前
完美世界的应助被滴滴答答采纳,获得80
9秒前
Orange的应助被滴滴答答采纳,获得10
9秒前
科研通AI6.4的应助被滴滴答答采纳,获得10
9秒前
上官若男的应助被滴滴答答采纳,获得10
9秒前
科研通AI6.4的应助被滴滴答答采纳,获得10
9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
Les Mantodea De Guyane 2000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7991218
求助须知:如何正确求助?哪些是违规求助? 9447239
关于积分的说明 21110771
捐赠科研通 7564488
什么是DOI,文献DOI怎么找? 3378408
关于科研通互助平台的介绍 2512408
邀请新用户注册赠送积分活动 2411964