Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China.
Chongqing Vocational College of Transportation, Chongqing, 400715, China.
Small. 2021 Jul;17(28):e2006000. doi: 10.1002/smll.202006000. Epub 2021 Mar 26.
Nanovaccine-based immunotherapy (NBI) has received greater attention recently for its potential to prime tumor-specific immunity and establish a long-term immune memory that prevents tumor recurrence. Despite encouraging results in the recent studies, there are still numerous challenges to be tackled for eliciting potent antitumor immunity using NBI strategies. Based on the principles that govern immune response, here it is proposed that these challenges need to be addressed at the five critical cascading events: Loading tumor-specific antigens by nanoscale drug delivery systems (L); Draining tumor antigens to lymph nodes (D); Internalization by dendritic cells (DCs) (I); Maturation of DCs by costimulatory signaling (M); and Presenting tumor-peptide-major histocompatibility complexes to T cells (P) (LDIMP cascade in short). This review provides a detailed and objective overview of emerging NBI strategies to improve the efficacy of nanovaccines in each step of the LDIMP cascade. It is concluded that the balance between each step must be optimized by delicate designing and modification of nanovaccines and by combining with complementary approaches to provide a synergistic immunity in the fight against cancer.
基于纳米载体的免疫疗法(NBI)因其能够引发肿瘤特异性免疫和建立防止肿瘤复发的长期免疫记忆而受到越来越多的关注。尽管最近的研究取得了令人鼓舞的结果,但在使用 NBI 策略引发有效的抗肿瘤免疫方面,仍有许多挑战需要解决。基于免疫反应的原理,本文提出,这些挑战需要在五个关键级联事件中得到解决:通过纳米药物递送系统加载肿瘤特异性抗原(L);将肿瘤抗原引流至淋巴结(D);树突状细胞(DC)内化(I);通过共刺激信号使 DC 成熟(M);将肿瘤肽-主要组织相容性复合物呈递给 T 细胞(P)(简称 LDIMP 级联)。本综述详细客观地介绍了新兴的 NBI 策略,以提高纳米疫苗在 LDIMP 级联的每一步中的疗效。结论是,必须通过巧妙地设计和修饰纳米疫苗,并与互补方法相结合,在对抗癌症的过程中提供协同免疫,来优化每个步骤之间的平衡。