脂质体
体内分布
医学
纳米医学
阿霉素
癌症
体内
药理学
癌症研究
化疗
内科学
材料科学
纳米技术
生物
纳米颗粒
生物技术
作者
Victor Naumenko,Stepan S. Vodopyanov,Kseniya Yu. Vlasova,Daria Potashnikova,Pavel Melnikov,Daniil A. Vishnevskiy,Anastasiia S. Garanina,Marat P. Valikhov,Anastasiya V. Lipatova,В. П. Чехонин,Alexander G. Majouga,Maxim A. Abakumov
标识
DOI:10.1016/j.jconrel.2020.12.014
摘要
Accumulation of liposomal drugs into human tumors has substantial variability influencing the probability of positive response to the therapy. Therefore, it becomes very important to identify the eligibility of patients for various treatment options. The existing strategies of tumor stratification using companion diagnostics are based on the assumption that the initial and subsequent doses of nanoparticles (NP) behave in a sufficiently similar manner to enable a valuable prognosis. Here, we use a combination of in vivo imaging techniques to validate the applicability of magnetic liposomes (ML) as a reliable tool to predict whether or not the tumor would respond to nanomedicine therapy. The results demonstrated that liposome biodistribution, interactions with immune cells, and extravasation behavior in tumors were not affected by the pretreatment with liposomes 24 h prior to the repeat dosing. Co-administration of liposomal doxorubicin (DXR) and liposomes loaded with maghemite NP resulted in a high colocalization rate between two nanomedicines in tumors suggesting that neither contrast agent, nor chemotherapeutics altered biodistribution of liposomes. Based on magnetic resonance imaging of 4T1 tumors performed before and 6 h after ML treatment, animals were classified into high and low accumulation subgroups. Higher ML deposition in tumors was associated with a reduction in lesion size and enhanced survival in animals treated with liposomal DXR, but not with DXR alone. Given that liposomes are the most numerous class of clinically approved nanomedicines the development of safe and cost-effective liposomal companion diagnostic suitable for non-invasive imaging is of paramount importance for improving the efficacy of cancer therapy.
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