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Limiting tumor cells comprehensively at micro and macro levels to improve the therapeutic effect of chemotherapy

Authors :
Haixia Li
Jingyi An
Hongling Zhang
Xinwei Yang
Binghua Wang
Zhenzhong Zhang
Lulu Sun
Jing Zhao
Yajie Jin
Youmei A
Source :
Nanotechnology. 32:015301
Publication Year :
2020
Publisher :
IOP Publishing, 2020.

Abstract

Clinical data shows that antitumor treatments are often ineffective if tumor cells have metastasized. To gain an effective antitumor therapeutic effect, in this report, the tumor cell was limited to the primary site and simultaneously ablated by chemotherapy. Considering the extremely complicated process of cancer metastasis, we seek to comprehensively suppress tumor metastases at both micro and macro levels, which closely link to migration and interact with each other. At the micro level, the motility of the tumor cell was decreased via accelerating mitochondria fusion. At the macro level, the unfavorable hypoxia environment was improved. A liposome-based multifunctional nanomedicine was designed by coloading latrunculin B (LAT-B), an inhibitor of actin polymerization, and doxorubicin (DOX) into the hydrophobic bilayers and aqueous cavity, respectively. Meanwhile, an oxygen reservoir named perfluoropentane (PFP) was encapsulated into the liposome core to fulfill synergistic treatment of metastatic tumors. In this paper, we demonstrated that the metastasis of the tumor cell could be effectively inhibited by LAT-B through promoting mitochondria fusion without affecting its function, making it as an encouraging candidate for effective anti-metastasis therapy. Meanwhile, we found that the combination of LAT-B and DOX shows a synergistic effect against tumors because the combined effect of these two drugs cover the entire cell proliferation process. In a word, this report presents a potential improvement in the treatment of metastatic cancer.

Details

ISSN :
13616528 and 09574484
Volume :
32
Database :
OpenAIRE
Journal :
Nanotechnology
Accession number :
edsair.doi.dedup.....d76ff949f73d7321d42c35e2ee68aadb