纳米材料-微生物混合系统在肿瘤治疗中的应用

IF 3.7 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Muskan Saif Khan, Mirza Albash Baig, Meng Tian, Bowen Li, Guoqing Feng, Run Yang, Yang Bai, Bin Zheng
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引用次数: 0

摘要

癌症治疗的最新进展,如靶向治疗和免疫治疗,为治疗各种癌症带来了希望。然而,目前仍存在诸如靶向性差、生物相容性和生物安全性等挑战。工程细菌可以解决这些问题,为肿瘤的治疗提供了一种独特的治疗方法。纳米技术提供了修饰细菌表面的潜力,利用生物膜和涂层技术对细菌进行物理封装可以帮助细菌逃离宿主免疫系统,提高药物传递的效率和安全性。合成生物学和基因工程技术可以将细菌视为“机器人工厂”,根据临床需要生产和输送抗癌药物,包括抗肿瘤细胞因子、免疫调节剂、前药酶等。工程细菌疗法既可以作为单一疗法使用,也可以与其他抗癌疗法联合使用,以获得更好的临床效果。本文介绍和总结了用于癌症靶向治疗的工程菌的加工和修饰方法,并对目前用于癌症靶向治疗的工程菌的临床试验进行了总结和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Applications of Nanomaterial-Microorganism Hybrid Systems in the Treatment of Tumor

Applications of Nanomaterial-Microorganism Hybrid Systems in the Treatment of Tumor

Recent advances in cancer treatments such as targeted therapy and immunotherapy, have brought hope for curing a variety of cancers. However, there are ongoing challenges such as poor targeting, biocompatibility and biosafety. Engineered bacteria can cope with these problems, providing a unique therapeutic approach for the treatment of tumors. Nanotechnology offers the potential to modify the surface of bacteria, and the use of biofilm and coating technology to physically encapsulate bacteria can help bacteria escape the host immune system and improve the efficiency and safety of drug delivery. Synthetic biology and genetic engineering technologies can treat bacteria as “robotic factories” to produce and deliver anti-cancer drugs, including anti-tumor cytokines, immunomodulators, prodrug enzymes, and so on, according to clinical needs. Engineered bacteria therapies can be used either as monotherapy or in combination with other anticancer therapies to achieve better clinical outcomes. In this review, it introduce and summarize the processing and modification methods of engineered bacteria for cancer targeted therapy, and summarize and analyze the current clinical trials of engineered bacteria for cancer targeted therapy.

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来源期刊
Advanced Therapeutics
Advanced Therapeutics Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
7.10
自引率
2.20%
发文量
130
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