Aptamer Circuit-Engineered Bio-Nanovesicles With Self-Promoted Tumor-Targeting Loop for Efficient Immunogenic Chemotherapy

IF 8.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Small Methods Pub Date : 2026-10-07 Epub Date: 2026-07-07 DOI:10.1002/smtd.70838
Shuxuan Shao, Cao Zhang, Wei Du, Jian Zeng, Shuang Liu, Fan Yang, Qiaoling Liu, Weihong Tan
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引用次数: 0

Abstract

Targeted delivery of chemodrugs to tumor sites is highly desirable for efficient chemotherapy. Extracellular vesicles (EVs)-based carrier is an ideal candidate for drug delivery in cancer therapy. However, the insufficient tumor-targeting capability remains to be solved. Herein, we designed an aptamer circuit with cascade recognition capacity to guide the vesicles for tumor targeting. The sequential signal transduction triggered by the specific binding between aptamers and their targets leads to the preferential binding of vesicles with cancerous cells rather than noncancerous cells with fewer targets. Moreover, a self-promoted tumor-targeting loop induced by Doxorubicin Hydrochloride (DOX) released from vesicles further amplified the targeting capability of the vesicle-based drug carrier to tumor sites through up-regulating PDL1 marker on the surface of tumor cells. Ultimately, the accumulation of DOX in tumor cells resulted in the immunogenic cell death (ICD) for evoking anti-tumor immune response. Overall, this work presents a self-promoted tumor-targeting strategy for vesicle-based carrier by coupling the cascade recognition and tumor-targeting loop, which improves the therapeutic effect of immunogenic chemotherapy.

具有自我促进肿瘤靶向环的适体电路工程生物纳米囊泡用于高效免疫原性化疗。
化疗药物靶向递送到肿瘤部位是高效化疗的迫切需要。细胞外囊泡(EVs)载体是一种理想的肿瘤药物递送载体。然而,肿瘤靶向能力不足仍有待解决。在此,我们设计了一个具有级联识别能力的适体电路来引导囊泡靶向肿瘤。适体与靶细胞特异性结合引发的序列信号转导导致囊泡优先与癌细胞结合,而不是与靶细胞较少的非癌细胞结合。此外,囊泡释放的盐酸多柔比星(DOX)诱导的自我促进的肿瘤靶向环通过上调肿瘤细胞表面PDL1标记物,进一步增强了基于囊泡的药物载体对肿瘤部位的靶向能力。最终,DOX在肿瘤细胞中的积累导致免疫原性细胞死亡(ICD),从而引发抗肿瘤免疫应答。综上所述,本研究通过级联识别和肿瘤靶向环的耦合,提出了一种基于囊泡载体的自我促进的肿瘤靶向策略,提高了免疫原性化疗的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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