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双重药物骨干破碎聚合物治疗性纳米医学协同根除患者源性肺癌。

Dual Drug Backboned Shattering Polymeric Theranostic Nanomedicine for Synergistic Eradication of Patient-Derived Lung Cancer.

机构信息

State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China.

University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.

出版信息

Adv Mater. 2018 Mar;30(11). doi: 10.1002/adma.201706220. Epub 2018 Jan 19.

DOI:10.1002/adma.201706220
PMID:29349918
Abstract

Most of the current nanoparticle-based therapeutics worldwide failing in clinical trials face three major challenges: (i) lack of an optimum drug delivery platform with precise composition, (ii) lack of a method of directly monitoring the fate of a specific drug rather than using any other labelling molecules as a compromise, and (iii) lack of reliable cancer models with high fidelity for drug screen and evaluation. Here, starting from a PP2A inhibitor demethylcantharidin (DMC) and cisplatin, the design of a dual sensitive dual drug backboned shattering polymer (DDBSP) with exact composition at a fixed DMC/Pt ratio for precise nanomedicine is shown. DDBSP self-assembled nanoparticle (DD-NP) can be triggered intracellularly to break down in a chain-shattering manner to release the dual drugs payload. Moreover, DD-NP with extremely high Pt heavy metal content in the polymer chain can directly track the drug itself via Pt-based drug-mediated computer tomography and ICP-MS both in vitro and in vivo. Finally, DD-NP is used to eradicate the tumor burden on a high-fidelity patient-derived lung cancer model for the first time.

摘要

目前,全球大多数基于纳米粒子的治疗方法在临床试验中失败,主要面临三大挑战:(i)缺乏具有精确组成的最佳药物输送平台;(ii)缺乏直接监测特定药物命运的方法,而不是使用任何其他标记分子作为折衷;(iii)缺乏具有高保真度的可靠癌症模型,用于药物筛选和评估。在这里,从一个 PP2A 抑制剂去甲基斑蝥素(DMC)和顺铂出发,设计了一种具有精确组成和固定 DMC/Pt 比的双敏感双药物骨干破碎聚合物(DDBSP),用于精确的纳米医学。DDBSP 自组装纳米颗粒(DD-NP)可以在细胞内被触发,以链式破碎的方式分解,释放双重药物有效载荷。此外,DD-NP 聚合物链中含有极高的 Pt 重金属含量,可以通过基于 Pt 的药物介导的计算机断层扫描和 ICP-MS 直接在体外和体内追踪药物本身。最后,DD-NP 首次用于消除高保真度患者来源肺癌模型中的肿瘤负担。

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