| Literature DB >> 35883176 |
Zhiyun Liao1, Jing Huang2, Pui-Chi Lo3, Jonathan F Lovell4, Honglin Jin5,6, Kunyu Yang7.
Abstract
Nanovaccines, a new generation of vaccines that use nanoparticles as carriers and/or adjuvants, have been widely used in the prevention and treatment of various diseases, including cancer. Nanovaccines have sparked considerable interest in cancer therapy due to a variety of advantages, including improved access to lymph nodes (LN), optimal packing and presentation of antigens, and induction of a persistent anti-tumor immune response. As a delivery system for cancer vaccines, various types of nanoparticles have been designed to facilitate the delivery of antigens and adjuvants to lymphoid organs and antigen-presenting cells (APCs). Particularly, some types of nanoparticles are able to confer an immune-enhancing capability and can themselves be utilized for adjuvant-like effect for vaccines, suggesting a direction for a better use of nanomaterials and the optimization of cancer vaccines. However, this role of nanoparticles in vaccines has not been well studied. To further elucidate the role of self-adjuvanting nanovaccines in cancer therapy, we review the mechanisms of antitumor vaccine adjuvants with respect to nanovaccines with self-adjuvanting properties, including enhancing cross-presentation, targeting signaling pathways, biomimicking of the natural invasion process of pathogens, and further unknown mechanisms. We surveyed self-adjuvanting cancer nanovaccines in clinical research and discussed their advantages and challenges. In this review, we classified self-adjuvanting cancer nanovaccines according to the underlying immunomodulatory mechanism, which may provide mechanistic insights into the design of nanovaccines in the future.Entities:
Keywords: Antigen presentation; Cancer immunotherapy; Lymph node; Nanovaccine; Self-adjuvanting
Mesh:
Substances:
Year: 2022 PMID: 35883176 PMCID: PMC9316869 DOI: 10.1186/s12951-022-01545-z
Source DB: PubMed Journal: J Nanobiotechnology ISSN: 1477-3155 Impact factor: 9.429
Fig. 1Signaling pathways in vaccine adjuvant-activated APCs. APC antigen presenting cells; TLR Toll-like receptors; MyD88 myeloid differentiation factor 88; TIRAP Toll-interleukin receptor (TIR) domain containing adaptor protein; TRAM TIR-domain-containing adaptor-inducing interferon-β (TRIF); and TRIF-related adaptor molecule
Self-adjuvanting nanovaccines for cancer therapy
| Self-adjuvanting nanovaccines for cancer therapy | |||
|---|---|---|---|
| Nanovaccine | Immune modulation | Mechanism | Refs. |
| SPIO-OVA | IL-6, TNF-α, IFN-γ↑ | Cross-presentation↑ | [ |
| α-Al2O3-OVA | CD8+T↑ | Autophagy-related cross-presentation↑ | [ |
| γ-PGA-OVA | IgG2a, IgG2c, T cells, CTL↑ | TLR4 and MyD88-dependent signaling pathway | [ |
| VSSP-E7(p) | IFN-γ, IL-10, CD8+T↑ | TLR4 | [ |
| (R)-DOTAP-E7 | IFN-γ, DC, CD4+T, CD8+T↑ | TLR7, TLR9 | [ |
| C1-mRNA | IL-1β, IL-6, IL-12, DC↑ | TLR4 | [ |
| CPTEG: CPH/OVA | IgG1, IFN-γ, IL-12, DC, CD8+T↑ | TLR2, TLR4, TLR5 | [ |
| 3DSNA-OVA | IL-12, IL-6, CTL↑ | Phosphorylation of IKK-αβ, IkB-α, and p65 in BMDC↑, NF-κB activation | [ |
| LDH-OVA, pcDNA3-OVA/LDH(R1) | IgG1, IgG2a, INF-γ, CTL↑ | NF-κB | [ |
| Ag-PMIDA-CoO | IFN-γ, TNF-α, IL-12, IgG1, IgG2, MΦ, CD4+T, CTL↑ | TNF-α↑, NF-κB | [ |
| ECPs-OVA | DC, CTL↑ | MyD88-dependent NF-κB | [ |
HMS-OVA, DMOHS‐2S-OVA MSR-PEI: OVA | IL-1β, IFN-γ, IL-2, IL-4, IL-10, CD4+ and CD8+ effector memory T cells↑ | NLRP3 inflammasome | [ |
| AuNP-OVA | IL-1β, IL-18, TNF-α, IL-6, CD8 + T cells↑ | NLRP3 inflammasome, NF-κB | [ |
| PSM-OVA | IFN-I, TNF-α, IL-17a, DC↑, Th2↓ | TRIF- and MAVS-dependent type I interferon secretion | [ |
| PC7A-OVA | CTL, Th1, APCs↑ | STING-dependent type I interferon secretion | [ |
| SeaMac | TNF-α, DC↑ | STING | [ |
CNP-OVA Man-CTS-TCL | IgG, IL-2, IL-10, IFN-γ, NK↑ | cGAS- and STING-dependent type I interferon secretion | [ |
| PEI-4Bimi-OVA | IFN-I, DC, CTL↑ | STING | [ |
| VLPs | Ab, Th1, CTL, B cells ↑ | Similar structure to viruses | [ |
| CPMV, PVX, TMV, PapMV | IFN-γ, TNFα, M1, NK, DC, CD8+T↑ | ssRNA, can activate TLR7/TL8 | [ |
| Archaeosome-OVA | DC, MΦ, CTL↑ | Mimic the structure of microorganisms | [ |
| Q11-MUC1, Q11-HPV16 E7 44–62 | IgG2a, IgM, Th1, CTL↑, Th2↓ | Unclear | [ |
| CD-OVA | TNF-α, IFN-γ, DC↑ | Unclear | [ |
Fig. 2Enhancement of cross-presentation in dendritic cells by nanoparticles. A Schematic illustration of nanoparticles enhancing cross-presentation in dendritic cells. B Representative bright field (left), fluorescence (middle) and overlaid (right) images of DCs after incubation with FITC-labelled α-Al2O3 (60 nm)-OVA for 0.5 (upper) and 24 h (lower). C Vaccination with α-Al2O3-OVA induced high frequency of OVA-specific IFN-γ producing CD8+ T cells in spleens of mice [45].
Copyright 2011 Nature Publishing Group
Fig. 3Potent tumor immunity induced by poly (γ-glutamic acid) nanovaccine via a TLR4 and MyD88 signaling pathway. A Schematic illustration of nasal vaccination with antigen-entrapping γ-PGA NPs evoked tumor immunity by eliciting antigen-specific CTLs. B Biodistribution of intranasally administered FITC-OVA/γ-PGA NPs. Green (FITC-OVA), red (rhodamine-labeled UEA-1), and blue (DAPI) signals were digitally merged. C Therapeutic effect of intranasal vaccination of OVA/γ-PGA NPs against B16-OVA lung metastasis. Reproduced with permission [54].
Copyright 2011 Elsevier B.V
Fig. 43DSNA nanovaccine activated the innate and specific immunity by the NF-κB signaling pathway. A Schematic of 3DSNA as versatile adjuvants that initiate antigen-specific CTL responses for cancer immunotherapy. B The analysis of p-p65 by laser scanning confocal microscopy. C The survival of tumor-bearing mice treated with different formulations after tumor challenge. Reproduced with permission [71].
Copyright 2019 Ivyspring International Publisher
Fig. 5Adjuvants activated the NLRP3 inflammasome to improve the ability of nanovaccines to induce immune responses. A Model of mSP1000-induced IL-1β maturation via assembly of NALP3 inflammasomes. Reproduced with permission [81].
Copyright 2010 Elsevier Ltd. B Schematic illustration of Au4.5-induced NLRP3 inflammasome activation. Reproduced with permission [91]. Copyright 2020 American Chemical Society
Fig. 6PC7A nanovaccine activated the STING pathway and inhibited tumor growth. A Schematic of the design and mechanism of the PC7A nanovaccine. B p-TBK1 is recruited into the STING–PC7A condensates. Reproduced with permission [98].
Copyright 2021 The Author(s), under exclusive licence to Springer Nature Limited. C Tumor growth inhibition study of B16F10 melanoma [97]. Copyright 2017 Nature Publishing Group
Fig. 7self-adjuvanting effect of VLPs in cancer vaccines. A Key characteristics of VLPs. B T cell responses induced by VLP-based vaccines. C B cell responses induced by VLP-based vaccines. D Vaccines in the context of checkpoint inhibitors. Reproduced with permission [113].
Copyright 2020 The Author(s)