Guiding nanomaterials to tumors for breast cancer precision medicine: from tumor-targeting small-molecule discovery to targeted nanodrug delivery

淘选 乳腺癌 噬菌体展示 癌症 精密医学 癌症研究 药物输送 肽库 癌症医学 光热治疗 计算生物学 医学 纳米技术 材料科学 生物 内科学 病理 生物化学 肽序列 基因
作者
Xuewei Qu,Penghe Qiu,Ye Zhu,Mingying Yang,Chuanbin Mao
出处
期刊:Npg Asia Materials [Nature Portfolio]
卷期号:9 (12): e452-e452 被引量:47
标识
DOI:10.1038/am.2017.196
摘要

Precision medicine emphasizes patient-specific formulation for treatment of diseases, especially cancer. However, in targeted cancer treatment, because the expression level of tumor receptors in each patient varies even for the same type of cancer, the ligand/receptor-mediated approach does not seem promising for precision medicine. In this work, we demonstrated our strategy of using a phage display technique for breast cancer precision medicine. Using in vivo biopanning, we first selected an MCF-7 breast tumor-targeting peptide, then tested the effectiveness of the as-selected peptide in tumor homing and finally conjugated the peptide to a model photothermal drug, namely, gold nanorods, to achieve enhanced cancer killing efficacy. The peptides identified by the phage display technique can guide the drug to the tumors without the need to know the exact receptors on the tumor. This approach requires significantly less effort to explore patient-specific targeting molecules for precision medicine. Peptide-assisted delivery of cancer-killing gold nanorods can be customized to a patient's specific tumor receptors using bacteriophages. Drug formulations that incorporate tumor-recognizing molecules make chemotherapies safer and more effective. Chuanbin Mao from the University of Oklahoma, USA, and Zhejiang University, China, and colleagues have shown that phages can automatically select optimal peptides for this approach. The team injected libraries with billions of phages into mice carrying breast cancer cells, and extracted those which bound most strongly to tumors after 1 hour. These biomolecules were then used as inputs for another round of testing, and, after five sequences of 'biopanning', phages with the highest tumor affinity emerged. Adding phage-selected peptides to gold nanorods improved drug uptake by 63% compared to a control group, and enabled subsequent laser treatment to destroy tumors at power densities safe enough for normal tissue. We have developed a phage display-based solution for breast cancer precision medicine. The patient-specific tumor-targeting peptide was first selected through in vivo biopanning. The as-selected peptide was then coupled with an anti-cancer nanomaterial drug. Enhanced nanodrug accumulation was achieved, which resulted in improved tumor killing efficacy. This study demonstrates a systematic strategy for discovering and testing patient-specific tumor targeting small molecules for cancer precision medicine.
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
2秒前
Orange应助yao采纳,获得10
2秒前
toffee发布了新的文献求助10
3秒前
3秒前
3秒前
科研通AI6.4应助shiyaouao采纳,获得10
6秒前
see发布了新的文献求助10
6秒前
李健应助坚强的凡双采纳,获得10
7秒前
7秒前
8秒前
Applezhyr发布了新的文献求助20
8秒前
1234发布了新的文献求助10
9秒前
TT发布了新的文献求助30
10秒前
shili完成签到,获得积分10
10秒前
11秒前
toffee完成签到,获得积分20
11秒前
LUAN发布了新的文献求助10
11秒前
阿文321完成签到,获得积分10
11秒前
眯眯眼的山柳完成签到 ,获得积分10
12秒前
diyanbruker完成签到,获得积分10
12秒前
大聪明发布了新的文献求助10
13秒前
佳佳发布了新的文献求助10
14秒前
在水一方应助Kkkkk采纳,获得10
14秒前
15秒前
柒畔发布了新的文献求助10
15秒前
16秒前
asipilin完成签到,获得积分10
16秒前
16秒前
桃洛璟完成签到,获得积分10
16秒前
17秒前
顾矜应助红烧驱逐舰采纳,获得10
17秒前
小杭776发布了新的文献求助10
18秒前
风中乐曲发布了新的文献求助10
20秒前
shiyaouao发布了新的文献求助10
21秒前
21秒前
斯文香彤完成签到,获得积分10
23秒前
23秒前
机灵的成协完成签到,获得积分10
24秒前
molihuakai应助LHR采纳,获得10
24秒前
小星星发布了新的文献求助20
25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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 500
Stratospheric Ozone: A Textbook 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 7353633
求助须知:如何正确求助?哪些是违规求助? 8964667
关于积分的说明 19046206
捐赠科研通 7002200
什么是DOI,文献DOI怎么找? 3221744
关于科研通互助平台的介绍 2386166
邀请新用户注册赠送积分活动 2202419