An intelligent cell-selective polymersome-DM1 nanotoxin toward triple negative breast cancer.
An intelligent cell-selective polymersome-DM1 nanotoxin toward triple negative breast cancer.
复制标题
一种针对三阴性乳腺癌的智能细胞选择性聚合物囊泡-DM1 纳米毒素。
DOI:
10.1016/j.jconrel.2021.11.014
复制
发表时间:
2021-11
影响因子:
10.8
通讯作者:
Zhong Zhiyuan
中科院分区:
文献类型:
--
作者:
Zhang Yifan;Yue Shujing;Haag Rainer;Sun Huanli;Zhong Zhiyuan
Antibody-drug conjugates (ADCs) are among the most significant advances in clinical cancer treatments, however, they are haunted with fundamental issues like low drug/antibody ratio (DAR), need of large amount of antibody, and complex chemistry. Targeted nanomedicines while offering a promising alternative to ADCs are afflicted with drug leakage and inferior cancer-specificity. Herein, we developed an intelligent cell-selective nanotoxin based on anti-CD44 antibody-polymersome-DM1 conjugates (aCD44-AP-DM1) for potent treatment of solid tumors. DM1 was simultaneously coupled to vesicular membraneviadisulfide bonds during self-assembly and anti-CD44 antibody was facilely clicked onto polymersome surface, tailor-making an optimal aCD44-AP-DM1 with a controlled antibody density of 5.0, extraordinary DAR of 275, zero drug leakage and rapid reduction-responsive DM1 release. aCD44-AP-DM1 displayed a high specificity and exceptional cytotoxicity toward MDA-MB-231 triple negative breast cancer, SMMC-7721 hepatocellular carcinoma and A549 non-small cell lung cancer cells with half-maximal inhibitory concentrations (IC50) of 21.4, 3.7 and 64.6 ng/mL, respectively, 3.6–47.2-fold exceeding non-targeted P-DM1. Intriguingly, the systemic administration of aCD44-AP-DM1 significantly suppressed subcutaneous MDA-MB-231 tumor xenografts in nude mice while intratumoral injection achieved complete tumor eradication in four out of five mice, without causing toxicity. This intelligent cell-selective nanotoxin has emerged as a better platform over ADCs for targeted cancer therapy.
登录
查看更多内容
影响因子:
6.2
作者:
Wei Jingjing;Meng Hao;Guo Beibei;Zhong Zhiyuan;Meng Fenghua
通讯作者:
Meng Fenghua
影响因子:
4.9
作者:
Nadkarni, Durgesh, V;Lee, Jamie;Meyer, Debra M.
通讯作者:
Meyer, Debra M.
影响因子:
28.2
作者:
Liu X;Taftaf R;Kawaguchi M;Chang YF;Chen W;Entenberg D;Zhang Y;Gerratana L;Huang S;Patel DB;Tsui E;Adorno-Cruz V;Chirieleison SM;Cao Y;Harney AS;Patel S;Patsialou A;Shen Y;Avril S;Gilmore HL;Lathia JD;Abbott DW;Cristofanilli M;Condeelis JS;Liu H
通讯作者:
Liu H
影响因子:
16.6
作者:
Zhang, Wenjia;Hu, Xianglong;Xing, Da
通讯作者:
Xing, Da
影响因子:
17.1
作者:
Wang, Guowei;Zhou, Zhuxian;Huang, Pintong
通讯作者:
Huang, Pintong