| Literature DB >> 31026397 |
Tianze Jiang1, Liang Chen1, Yukun Huang1, Jiahao Wang1, Minjun Xu1, Songlei Zhou1, Xiao Gu2, Yu Chen1, Kaifan Liang1, Yuanyuan Pei1, Qingxiang Song2, Shanshan Liu1, Fenfen Ma3, Huiping Lu3, Xiaoling Gao2, Jun Chen1,3.
Abstract
Metastasis is the major cause of high mortality in cancer patients; thus, blocking the metastatic process is of critical importance for cancer treatments. The premetastatic niche, a specialized microenvironment with aberrant changes related to inflammation, allows the colonization of circulating tumor cells (CTCs) and serves as a potential target for metastasis prevention. However, little effort has been dedicated to developing nanomedicine to amend the premetastatic niche. Here this study reports a premetastatic niche-targeting micelle for the modulation of premetastatic microenvironments and suppression of tumor metastasis. The micelles are self-assembled with the oleate carbon chain derivative of metformin and docosahexaenoic acid, two anti-inflammatory agents with low toxicity, and coated with fucoidan for premetastatic niche-targeting. The obtained functionalized micelles (FucOMDs) exhibit an excellent blood circulation profile and premetastatic site-targeting efficiency, inhibit CTC adhesion to activated endothelial cells, alleviate lung vascular permeability, and reverse the aberrant expression of key marker proteins in premetastatic niches. As a result, FucOMDs prevent metastasis formation and efficiently suppress both primary-tumor growth and metastasis formation when combined with targeted chemotherapy. Collectively, the findings here provide proof of concept that the modulation of the premetastatic niche with targeted anti-inflammatory agents provides a potent platform and a safe and clinical translational option for the suppression of tumor metastasis.Entities:
Keywords: Premetastatic niche; docosahexaenoic acid; metastasis suppression; metformin; self-assembly micelles; targeted drug delivery
Year: 2019 PMID: 31026397 DOI: 10.1021/acs.nanolett.9b00495
Source DB: PubMed Journal: Nano Lett ISSN: 1530-6984 Impact factor: 11.189