免疫系统
抗原
干扰素基因刺激剂
癌症免疫疗法
启动(农业)
T细胞
生物
癌症研究
CD8型
免疫检查点
背景(考古学)
免疫原性
免疫疗法
细胞毒性T细胞
免疫学
先天免疫系统
体外
古生物学
发芽
植物
生物化学
作者
Daniel Shae,Jessalyn J. Baljon,Mohamed Wehbe,Plamen P. Christov,Kyle W. Becker,Amrendra Kumar,Naveenchandra Suryadevara,Carcia S. Carson,Christian R. Palmer,Frances C. Knight,Sebastian Joyce,John T. Wilson
出处
期刊:ACS Nano
[American Chemical Society]
日期:2020-07-23
卷期号:14 (8): 9904-9916
被引量:114
标识
DOI:10.1021/acsnano.0c02765
摘要
Cancer vaccines targeting patient-specific neoantigens have emerged as a promising strategy for improving responses to immune checkpoint blockade. However, neoantigenic peptides are poorly immunogenic and inept at stimulating CD8+ T cell responses, motivating a need for new vaccine technologies that enhance their immunogenicity. The stimulator of interferon genes (STING) pathway is an endogenous mechanism by which the innate immune system generates an immunological context for priming and mobilizing neoantigen-specific T cells. Owing to this critical role in tumor immune surveillance, a synthetic cancer nanovaccine platform (nanoSTING-vax) was developed that mimics immunogenic cancer cells in its capacity to efficiently promote co-delivery of peptide antigens and the STING agonist, cGAMP. The co-loading of cGAMP and peptides into pH-responsive, endosomolytic polymersomes promoted the coordinated delivery of both cGAMP and peptide antigens to the cytosol, thereby eliciting inflammatory cytokine production, co-stimulatory marker expression, and antigen cross-presentation. Consequently, nanoSTING-vax significantly enhanced CD8+ T cell responses to a range of peptide antigens. Therapeutic immunization with nanoSTING-vax, in combination with immune checkpoint blockade, inhibited tumor growth in multiple murine tumor models, even leading to complete tumor rejection and generation of durable antitumor immune memory. Collectively, this work establishes nanoSTING-vax as a versatile platform for enhancing immune responses to neoantigen-targeted cancer vaccines.
科研通智能强力驱动
Strongly Powered by AbleSci AI