| Literature DB >> 35122163 |
Jiong Li1, Sijia Wang1, Xinyi Lin1, Yanbing Cao2,3, Zhixiong Cai2,3, Jing Wang1, Zhenxi Zhang1, Xiaolong Liu2,3, Ming Wu4,5, Cuiping Yao6.
Abstract
Red blood cells (RBCs) have recently emerged as promosing candidates for cancer treatment in terms of relieving tumor hypoxia and inducing oxidative damage against cancer cells, but they are still far from satisfactory due to their limited oxygen transport and reactive oxygen species generation rate in tumor tissue. Herein, artificial RBCs (designated FTP@RBCM) with radical storm production ability were developed for oncotherapy through multidimensional reactivity pathways of Fe-protoporphyrin-based hybrid metal-organic frameworks (FTPs, as the core), including photodynamic/chemodynamic-like, catalase-like and glutathione peroxidase-like activities. Meanwhile, owing to the advantages of long circulation abilities of RBCs provided by their cell membranes (RBCMs), FTP with a surface coated with RBCMs (FTP@RBCM) could enormously accumulate at tumor site to achieve remarkably enhanced therapeutic efficiency. Intriguingly, this ROS-mediated dynamic therapy was demonstrated to induce acute local inflammation and high immunogenic cancer death, which evoked a systemic antitumor immune response when combined with the newly identified T cell immunoglobulin and mucin-containing molecule 3 (Tim-3) checkpoint blockade, leading to not only effective elimination of primary tumors but also an abscopal effect of growth suppression of distant tumors. Therefore, such RBC-mimic nanocatalysts with multidimensional catalytic capacities might provide a promising new insight into synergistic cancer treatment.Entities:
Keywords: Cancer immunotherapy; Metal–organic framework; Nanocatalyst; Radical storm; Red blood cell mimic
Year: 2022 PMID: 35122163 PMCID: PMC8817004 DOI: 10.1007/s40820-022-00801-z
Source DB: PubMed Journal: Nanomicro Lett ISSN: 2150-5551
Scheme 1a Preparation of artificial RBCs (FTP@RBCM). b Immunotherapeutic mechanisms of the combination of radical therapy and Tim-3 checkpoint blockade
Fig. 1TEM image of a Pt nanoparticles and b FTP. c TEM mapping of FTP. d TEM image of FTP@RBCM. e SDS-PEGA protein analysis of RBCM, FTP, and FTP@RBCM. f XPS spectrum of FTP@RBCM. g UV–Vis spectra. h Fluorescence spectrum of [Ru(dpp)3]Cl2 incubated with FTP and H2O2. i Fluorescence spectrum of SOSG in the presence of FTP under 670 nm laser irradiation. j Relative fluorescence intensity of SOSG at 530 nm (n = 3). k GSH concentration after different treatments (n = 3). l XPS spectra of Fe 2p in FTP. m Fluorescence intensity of the solution containing TPA with different treatments
Fig. 2a CLSM images of Hep3B cells incubated with Cy5 labeled FTP and FTP@RBCM for 4 or 8 h. Scale bar = 50 µm. b Flow cytometry analysis of Cy5 fluorescence inside Hep3B cells. c The corresponding mean fluorescence intensity (MFI) of Cy5 in b (n = 3)
Fig. 3a Schematic illustration of the multiple catalytic activities of FTP@RBCM. b Relative GSH content of Hep3B cells with various treatments (n = 3). c Fluorescence microscopy images of probes [Ru(dpp)3]Cl2 to detect intracellular oxygen with various treatments. Scale bar = 50 µm. d Fluorescence microscopy images of DCFH-DA to detect intracellular ROS with various treatments. Scale bar = 50 µm. e Cell viabilities of LO2 and Hep3B cells after incubation with FTP@RBCM (n = 4). f, g Cell viabilities of Hep3B cells after different treatments under normoxia (f) or hypoxia (g) (n = 4). h Fluorescence microscope images of Hep3B cells stained by Calcein AM and PI. Scale bar = 100 µm
Fig. 4a Cell viabilities of CL2 and Hepa1-6 cells (n = 4). b CLSM images of HMGB1 immunofluorescence staining. Scale bar = 20 µm. c Extracellular HMGB1 levels (n = 3) d CLSM images of CRT immunofluorescence staining. Scale bar = 20 µm. e Flow cytometry analysis of CRT immunofluorescence staining. f Extracellular ATP levels (n = 3). g Schematic illustration of the experimental design and procedure of DC maturation assay in vitro. h DC maturation assay by flow cytometry
Fig. 5a Fluorescence images of mice injected with ICG labeled FTP or FTP@RBCM. b Fluorescence images of major organs and tumors. c Schematic illustration of the therapeutic procedure of FTP@RBCM. d-f Tumor growth curves (d), Ex vivo tumor photos (e) and average tumor weights (f) of mice (n = 5). g Optical microscope images of H&E and Ki67, staining, and TUNEL and CRT immunofluorescence staining. h DC maturation in draining inguinal lymph nodes. i Percentages of maturated DCs (CD11c+CD86+CD80+) (n = 3). j, k Cytokine levels of IFN-γ (j) and IL-12 (k) in tumor tissues (n = 3). 1: PBS group; 2: PBS + L group; 3: FT@RBCM + L group; 4: FTP@RBCM group; 5: FTP@RBCM + L group
Fig. 6a Schematic illustration of combined therapeutic procedures of FTP@RBCM-mediated radical therapy combined with Tim-3 checkpoint blockade. b, c Relative growth and average relative growth curves of primary tumors (b) and abscopal tumors (c) (n = 5). d Survival curves of mice (n = 5). e Average body weights of mice (n = 5). f Representative flow cytometry plots of CD3+CD8+ T cells in spleen. g Statistical analysis of CD3+CD8+ T cell frequency according to the data in f. h Statistical analysis of CD3+ T cell frequency in PBMC. i Immunofluorescence staining images of the infiltrated CD4+ T cells (red) and CD8+ T cells (green) in abscopal tumor slices. Scale bar = 50 µm. j, k Cytokine levels of Granzyme B (j) and IFN-γ (k) in abscopal tumor tissues. 1: PBS group; 2: anti-Tim-3 group; 3: FTP@RBCM + L group; 4: FTP@RBCM + L + anti-Tim-3 group