Engineered Extracellular Vesicles for Combinatorial TNBC Therapy: SR-SIM-Guided Design Achieves Substantial Drug Dosage Reduction

细胞外小泡 还原(数学) 药品 药理学 细胞外 小泡 化学 医学 生物 细胞生物学 数学 生物化学 几何学
作者
Abhjeet S. Bhullar,Kai Jin,Haizhu Shi,Austen Jones,Dalton Hironaka,Gaofeng Xiong,Ren Xu,Peixuan Guo,Daniel W. Binzel,Dan Shu
出处
期刊:Molecular Therapy [Elsevier]
标识
DOI:10.1016/j.ymthe.2024.09.034
摘要

Triple negative breast cancer is an aggressive subtype of breast cancer that has no therapeutic targets, relies on chemotherapeutics for treatment, and is in dire need of novel therapeutic approaches for improved patient outcomes. Extracellular vesicles serve as intercellular communicators and have been proposed as ideal drug delivery vehicles. Here, extracellular vesicles were engineered with RNA nanotechnology to develop Triple negative breast cancer tumor inhibitors. Utilizing Super Resolved-Structured Illumination Microscopy, extracellular vesicles were optimized for precise Survivin siRNA conjugated to chemotherapeutics loading and CD44 aptamer ligand decoration, thereby enhancing specificity towards triple negative breast cancer cells. Conventional treatments typically employ chemotherapy drugs Gemcitabine and Paclitaxel at dosages on the order of mg/kg respectively, per injection (IV) in mice. In contrast, engineered extracellular vesicles encapsulating these drugs saw functional tumor growth inhibition at significantly reduced concentrations: 2.2 μg/kg for Gemcitabine or 5.6 μg/kg for Paclitaxel, in combination with 21.5 μg/kg Survivin-siRNA in mice. The result is a substantial decrease of chemotherapeutic dose required, by orders of magnitude, compared to standard regimens. In vivo and in vitro evaluations in a triple negative breast cancer orthotopic xenograft mouse model demonstrated the efficacy of this reduced dosage strategy, indicating potential for decreased chemotherapy-associated toxicity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
slzhao发布了新的文献求助10
刚刚
传奇3应助小慧儿采纳,获得10
1秒前
熙子完成签到 ,获得积分10
1秒前
紧张的建辉给紧张的建辉的求助进行了留言
1秒前
2秒前
雪碧呀发布了新的文献求助10
2秒前
gdfhdzhdht完成签到,获得积分10
2秒前
小李发布了新的文献求助10
2秒前
2秒前
3秒前
夏日浅笑发布了新的文献求助10
5秒前
white完成签到,获得积分20
6秒前
努力毕业ing完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
8秒前
9秒前
sunaijia发布了新的文献求助10
9秒前
9秒前
Liu完成签到 ,获得积分10
9秒前
秘密maho完成签到,获得积分10
9秒前
烟花应助Enzo采纳,获得10
10秒前
10秒前
flow完成签到,获得积分10
10秒前
11秒前
12秒前
white发布了新的文献求助10
12秒前
太叔易云发布了新的文献求助10
12秒前
彭于晏应助南浔采纳,获得10
13秒前
不安含芙发布了新的文献求助10
13秒前
13秒前
干净的铅笔应助亚鲁采纳,获得10
13秒前
Rwmqwq发布了新的文献求助20
14秒前
路由器完成签到,获得积分10
14秒前
跳跃志泽发布了新的文献求助10
14秒前
舒心秋蝶发布了新的文献求助10
14秒前
小蘑菇应助xiaomt0518采纳,获得10
15秒前
15秒前
zzzzzjzjjjj发布了新的文献求助10
15秒前
高分求助中
Exploring Mitochondrial Autophagy Dysregulation in Osteosarcoma: Its Implications for Prognosis and Targeted Therapy 4000
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Migration and Wellbeing: Towards a More Inclusive World 1200
Evolution 501
On the Refined Urban Stormwater Modeling 500
Gerard de Lairesse : an artist between stage and studio 500
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2968259
求助须知:如何正确求助?哪些是违规求助? 2630931
关于积分的说明 7087339
捐赠科研通 2264609
什么是DOI,文献DOI怎么找? 1200826
版权声明 591403
科研通“疑难数据库(出版商)”最低求助积分说明 587305