| Literature DB >> 35967281 |
Cuixia Zheng1, Xinxin Liu2,1, Yueyue Kong1, Lei Zhang3, Qingling Song1, Hongjuan Zhao1, Lu Han1, Jiannan Jiao1, Qianhua Feng1,4, Lei Wang2,1,4,5.
Abstract
The continuing challenges that limit effectiveness of tumor therapeutic vaccines were high heterogeneity of tumor immunogenicity, low bioactivity of antigens, as well as insufficient lymph nodes (LNs) drainage of antigens and adjuvants. Transportation of in situ neoantigens and adjuvants to LNs may be an effective approach to solve the abovementioned problems. Therefore, an FA-TSL/AuNCs/SV nanoplatform was constructed by integrating simvastatin (SV) adjuvant loaded Au nanocages (AuNCs) as cores (AuNCs/SV) and folic acid modified thermal-sensitive liposomes (FA-TSL) as shells to enhance de novo antitumor immunity. After accumulation in tumor guided by FA, AuNCs mediated photothermal therapy (PTT) induced the release of tumor-derived protein antigens (TDPAs) and the shedding of FA-TSL. Exposed AuNCs/SV soon captured TDPAs to form in situ recombinant vaccine (AuNCs/SV/TDPAs). Subsequently, AuNCs/SV/TDPAs could efficiently transport to draining LNs owing to the hyperthermia induced vasodilation effect and small particle size, achieving co-delivery of antigens and adjuvant for initiation of specific T cell response. In melanoma bearing mice, FA-TSL/AuNCs/SV and laser irradiation effectively ablated primary tumor, against metastatic tumors and induced immunological memory. This approach served a hyperthermia enhanced platform drainage to enable robust personalized cancer vaccination.Entities:
Keywords: Au nanocages; De novo antitumor immunity; Lymph node drainage; Photothermal therapy; Recombinant vaccine; Simvastatin; Tumor targeting; Tumor-derived protein antigens
Year: 2022 PMID: 35967281 PMCID: PMC9366229 DOI: 10.1016/j.apsb.2022.02.026
Source DB: PubMed Journal: Acta Pharm Sin B ISSN: 2211-3835 Impact factor: 14.903
Figure 1Schematic diagram of FA-TSL/AuNCs/SV with assistance of 808 nm laser to improve cancer immunotherapy.
Figure 2(A) TEM image of AuNCs. (B) Elemental mapping of AuNCs. (C) EDS analysis of AuNCs. (D) X-ray diffraction (XRD) of AuNCs. (E) TEM image of AuNCs/SV. (F) TEM image of FA-TSL/AuNCs/SV. (G) Photothermal activity of AuNCs and FA-TSL/AuNCs/SV with Au concentration of 50 μg/mL under 1.5 W/cm2 of 808 nm laser. (H) TEM image of FA-TSL/AuNCs/SV + laser. (I) Schematic diagram of the preparation of in vitro recombinant vaccine. (J) TEM image of AuNCs/SV/TDPAs. (K) Total amount of captured antigens by AuNCs/SV. (L) SDS–PAGE analysis of B16 proteins and AuNCs/SV binding proteins. (M) The relative abundance of neoantigens and DAMPs captured by AuNCs/SV. (N) Western blotting analysis of B16F10 cell-specific antigen markers were absorbed by NPs in AuNCs/SV + laser and FA-TSL/AuNCs/SV + laser groups. The data are presented as mean ± SD (n = 3). ∗P < 0.05, ∗∗P < 0.01.
Figure 3(A) Cellular uptake (scale bar = 100 μm). (B) Cytotoxicity of B16F10 cells. (C) Cytotoxicity of B16F10 cells with 808 nm laser irradiation (1.5 W/cm2, 2 min). (D) Calcein-AM/PI staining (scale bar = 100 μm). (E) Surface CRT expression. (F) Extracellular release of HMGB1. (G) The quantitative analysis of DCs uptake of FITC-OVA. (H) Lysosomal escape test (scale bar = 10 μm). (I) DCs maturation measurement. (J) FRI of mice received different formulations. (K) FRI of LNs harvested from mice at 36 h. (L) Quantification of fluorescence intensity in axillary and inguinal LNs. The results of significant difference analysis were compared with FA-TSL/AuNCs/IR780 + laser group. The data are presented as mean ± SD (n = 3). ∗∗∗P < 0.001.
Figure 4(A) Schematic illustration of experiment design. (B) In vivo tumor growth curve. (C) Mice survival curve. (D) H&E and TUNEL staining. (E) CRT expression in tumor tissue. (F) HMGB1 level in tumor tissue. The data are presented as mean ± SD (n = 6). (G) Mature DCs in draining LNs. (H) MHC I molecules in draining LNs. (I) MHC II molecules in draining LNs. (J) CD3+ CD8+ T cells and (K) CD3+ CD4+ T cells in draining LNs. (L) Cytokine levels of IL-6, TNF-α, IFN-γ in serum. The data are presented as mean ± SD (n = 3). ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001.
Figure 5(A) Schematic illustration of the experiment design. (B) Primary tumor growth curves. (C) Distant tumor-growth curves. (D) Individual growth curves of primary and distant tumors. (E) Body weight. (F) Survival curve. The data are presented as mean ± SD (n = 6). (G) Scheme for lung metastasis inhibition. (H) Representative H&E staining of lung tissue (scale bar = 200 μm). The data are presented as mean ± SD (n = 3). ∗P < 0.05, ∗∗P < 0.01.