Tumor‐derived small extracellular vesicles (sEVs) are proven to play important roles in accelerating the progression of tumors. Destructing the sEVs at tumor sites is therefore a promising route to inhibit tumor progression. Herein, a smart DNA network‐based sEV trap (DNET) is reported, which achieved the specific capture of tumor‐derived sEVs through recognizing sEVs by polyaptamers, and the efficient destruction of sEVs via a photodynamic process at tumor sites. The DNET is constructed through the assembly of two DNA chains generated via rolling circle amplification. The DNA chains contain polyaptamers for capturing sEVs, polyvalent G‐quadruplexes for loading photodynamic reagents, and complementary segments for forming a cross‐linked network. Upon the irradiation of the laser, the captured sEVs in DNET are destructed, causing significant inhibition effects on the migration, invasion, and proliferation of glioblastoma cells. In particular, DNET achieved tumor inhibition rates of 39.70% in the zebrafish tumor model, and 73.10% in the nude mouse tumor model, respectively, demonstrating the significant efficacy of DNET in inhibiting tumor progression.

中文翻译：

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智能 DNA 网络捕获并破坏肿瘤部位肿瘤衍生的小细胞外囊泡，用于局部癌症治疗

肿瘤来源的小细胞外囊泡（sEV）被证明在加速肿瘤进展中发挥重要作用。因此，破坏肿瘤部位的 sEV 是抑制肿瘤进展的一条有前途的途径。在此，报道了一种基于智能DNA网络的sEV陷阱（DNET），它通过多适体识别sEV来实现对肿瘤来源的sEV的特异性捕获，并通过肿瘤部位的光动力过程有效破坏sEV。 DNET 是通过滚环扩增产生的两条 DNA 链组装而成的。 DNA链包含用于捕获sEV的多适体、用于加载光动力试剂的多价G-四链体以及用于形成交联网络的互补片段。在激光照射下，DNET中捕获的sEV被破坏，对胶质母细胞瘤细胞的迁移、侵袭和增殖产生显着的抑制作用。特别是，DNET在斑马鱼肿瘤模型和裸鼠肿瘤模型中的肿瘤抑制率分别达到39.70%和73.10%，表明DNET在抑制肿瘤进展方面具有显着功效。