Targeting 3D Bladder Cancer Spheroids with Urease-Powered Nanomotors

球体 膀胱癌 癌症 癌症研究 材料科学 生物物理学 纳米技术 癌细胞 化学 医学 生物 生物化学 内科学 体外
作者
Ana C. Hortelão,Rafael Carrascosa,Nerea Murillo-Cremaes,Tania Patiño,Samuel Sánchez
出处
期刊:ACS Nano [American Chemical Society]
卷期号:13 (1): 429-439 被引量:219
标识
DOI:10.1021/acsnano.8b06610
摘要

Cancer is one of the main causes of death around the world, lacking efficient clinical treatments that generally present severe side effects. In recent years, various nanosystems have been explored to specifically target tumor tissues, enhancing the efficacy of cancer treatment and minimizing the side effects. In particular, bladder cancer is the ninth most common cancer worldwide and presents a high survival rate but serious recurrence levels, demanding an improvement in the existent therapies. Here, we present urease-powered nanomotors based on mesoporous silica nanoparticles that contain both polyethylene glycol and anti-FGFR3 antibody on their outer surface to target bladder cancer cells in the form of 3D spheroids. The autonomous motion is promoted by urea, which acts as fuel and is inherently present at high concentrations in the bladder. Antibody-modified nanomotors were able to swim in both simulated and real urine, showing a substrate-dependent enhanced diffusion. The internalization efficiency of the antibody-modified nanomotors into the spheroids in the presence of urea was significantly higher compared with antibody-modified passive particles or bare nanomotors. Furthermore, targeted nanomotors resulted in a higher suppression of spheroid proliferation compared with bare nanomotors, which could arise from the local ammonia production and the therapeutic effect of anti-FGFR3. These results hold significant potential for the development of improved targeted cancer therapy and diagnostics using biocompatible nanomotors.
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
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
匿蝶完成签到,获得积分10
2秒前
orixero应助刘先生采纳,获得10
3秒前
小谷完成签到,获得积分10
5秒前
传奇3应助隐形之玉采纳,获得30
6秒前
Xiong完成签到,获得积分10
6秒前
7秒前
烟花应助lvfeicmu采纳,获得10
10秒前
QE完成签到,获得积分20
10秒前
wyw完成签到 ,获得积分10
11秒前
13秒前
张牧之完成签到 ,获得积分10
13秒前
刘先生发布了新的文献求助10
14秒前
自信的紫青完成签到,获得积分20
15秒前
Daisy完成签到,获得积分10
15秒前
叨叨不叨叨叨叨叨完成签到,获得积分10
16秒前
科研通AI2S应助zust采纳,获得10
17秒前
19秒前
lvfeicmu完成签到,获得积分10
19秒前
23秒前
lvfeicmu发布了新的文献求助10
24秒前
可耐的三德完成签到 ,获得积分10
24秒前
云辞忧完成签到,获得积分10
25秒前
26秒前
香菜完成签到,获得积分10
26秒前
ncjdoi发布了新的文献求助10
27秒前
28秒前
30秒前
哭泣蛋挞完成签到 ,获得积分10
31秒前
性感的小蚂蚁完成签到,获得积分10
31秒前
斯文败类应助刘先生采纳,获得10
32秒前
starry发布了新的文献求助10
34秒前
心理学狗都不学完成签到,获得积分10
34秒前
35秒前
35秒前
朱朱发布了新的文献求助10
35秒前
自信的紫青关注了科研通微信公众号
36秒前
38秒前
黎明发布了新的文献求助10
39秒前
隐形冷雁发布了新的文献求助150
39秒前
紫熊发布了新的文献求助10
39秒前
高分求助中
Sustainability in Tides Chemistry 2800
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137423
求助须知:如何正确求助?哪些是违规求助? 2788470
关于积分的说明 7786719
捐赠科研通 2444666
什么是DOI,文献DOI怎么找? 1300018
科研通“疑难数据库(出版商)”最低求助积分说明 625731
版权声明 601023