| Literature DB >> 30662558 |
Shan Gao1, Dongjuan Yang1, Yan Fang1, Xiaojie Lin1, Xuechao Jin1, Qi Wang1, Xiyan Wang1, Liyuan Ke2, Kai Shi1.
Abstract
Owing to the fast-paced growth and cross-infiltration of oncology, immunology and molecular biology, tumor immunotherapy technology represented by immune checkpoint blockade and chimeric antigen receptor (CAR) T cell therapy has lately made remarkable advancements. In comparison with traditional chemotherapy, immunotherapy has the potential to elicit a stronger sustained antitumor immune response in those patients who have advanced malignant malignancies. In spite of the advancements made, a significant number of clinical research works have validated that an extensive proportion of cancer patients still manifest insensitivity to immunotherapy, primarily because of the immunomodulatory interactions between tumor cells and the immunosuppressive tumor microenvironment (TME), together mediating the immune tolerance of tumors and accordingly impacting the positive response to immunotherapy. The intricate immunosuppressive networks formed by stromal cells, inflammatory cells, vasculature, extracellular matrix (ECM), and their secreted cytokines in the TME, play a pivotal role in tumor immune escape. Specific blocking of inhibition pathways in the TME is expected to effectively prevent immune escape and tolerance of tumor cells in addition to their metastasis, accordingly improving the antitumor immune response at various phases of tumor growth. Emerging nanoscale targeted drug carriers truly suit this specific requirement due to their specificity, biocompatibility, and convenience of production. This review emphasizes recent attempts to remodel the tumor immune microenvironment using novel nanoparticles, which include specifically eliminating immunosuppressive cells, reprogramming immune regulatory cells, promoting inflammatory cytokines and blocking immune checkpoints. Targeted remodeling of the immunosuppressive TME using well-designed and fabricated nanoparticles provides a promising strategy for improving the effectiveness of current immunotherapy and is greatly significant.Entities:
Keywords: cancer; immunotherapy; nanoparticles; tumor microenvironment; vaccines
Mesh:
Substances:
Year: 2019 PMID: 30662558 PMCID: PMC6332787 DOI: 10.7150/thno.29431
Source DB: PubMed Journal: Theranostics ISSN: 1838-7640 Impact factor: 11.556
Typical nanoparticles-based cancer vaccines in clinical trials.
| Nanoparticles | Payloads | Clinical stages | Indications | Ref |
|---|---|---|---|---|
| Liposome (L-BLP25) | MUC-1, tecemotide monophosphoryl lipid A | Terminated after phase III | NSCLC | |
| Liposome (AS15) | MAGE-A3, CpG 7909 monophosphoryl lipid A | Terminated after phase III | Melanoma, NSCLC | |
| Liposome (ISCOMATRIX) | E7, saponin, | Terminated after Phase II | Melanoma | |
| Liposome (DPX) | HLA-A2, Survivin polynucleotide | Phase I/II | Ovarian cancer | |
| Liposome (Lipo-MERIT) | mRNA encoding four melanoma antigens (NY-ESO-1, MAGE-A3, tyrosinase, TPTE) | Phase I/II | Melanoma | |
| Cholesteryl pullulan (CHP) | NY-ESO-1 protein | Phase I/II | Esophageal cancer | |
| Autophagosomes (DPV) | HPV Imiquimod | Phase I/II | NSCLC Prostate cancer | |
| Virus-like particles (VLPs) | Melan-A/MART-1, CpG | Phase I/II | Melanoma | |
| Hybrid lipsome (Lipovaxin-MM) | Melanoma cell membrane, Antibody targeting DCs IFN-γ | Phase I/II | Melanoma |
Various strategies for nanoparticles-based TME modulation in cancer immunotherapy.
| Targeting sites | Nanoparticles (NPs) | Payloads | Tumor models | Ref |
|---|---|---|---|---|
| APCs | Liposome /3-methylglutarylated poly(glycidol) | OVA | E.G7-OVA | |
| PLGA NPs | STAT3 siRNA, OVA, ICG, R837 | E.G7-OVA | ||
| Lipid-calcium-phosphate NPs | Trp2, CpG, | B16F10 | ||
| Dendrimer / peptide | pcDNA3-TRP2/gp70 | B16F10 | ||
| Gold NPs / PEG | OVA, CpG | B16-OVA | ||
| Upconversion NPs /PEG-PEI | OVA | B16-OVA | ||
| Micelle / PEG-PLL-PLLeu | Poly I:C, OVA, STAT3 siRNA | B16-OVA | ||
| TAMs | Lipid NPs / C12-200, cholesterol, PEG-DMG | CCR2 siRNA | EL4, CT26 | |
| Poly(β-amino ester) | IL-12 | B16F10 | ||
| Liposome / sialic acid | Epirubicin | S180 sarcoma | ||
| Tregs | Carbon nanotubes / anti-GITR mAb | Fluorochrome | B16 | |
| Lipid-PLGA / tLyp1 | Imatinib, anti-CTLA-4 mAb | B16 | ||
| Lipid-calcium phosphate | Sunitinib; Trp2, CpG, | B16F10 | ||
| MDSCs | High-density lipoprotein-like NPs | DiD | B16F10 | |
| Micelles of propylene sulfide | 6-thioguanine | B16F10, E.G7-OVA | ||
| Liposome / DSPE-PEG-PDP | Complement C3 | 4T1 | ||
| Iron oxide / dextran | Ferumoxytol | KP1 | ||
| Cytokines | Liposome containing anti-CD137/IL-2 | OVA | B16F10 | |
| Liposome encapsulated cyclodextrin | TGF-β inhibitor, IL-2 | B16 melanoma | ||
| MPEG-PLA hybrid DOTAP | IL-12 plasmid | Colorectal Ct26 | ||
| CTLA-4/ PD-1/PD-L1 | PLGA NPs / anti-CTLA4 mAb | Indocyanine green, Imiquimod | 4T1 | |
| Micelles / PC, DSPE-PEG/ anti-PD-L1 mAb | Selumetinib, PI103 | B16F10, 4T1 | ||
| Lipid-protamine-DNA | PD-L1/CXCL12 trap | KPC98027 | ||
| Lipid-protamine-DNA | PD-L1 trap, OXP | CT26 | ||
| TAFs | Lipid-cisplatin, Lipid-protamine | Wnt16 siRNA | UMUC3/NIH 3T3 | |
| Lipid-cisplatin, Lipid-calcium phosphate | Quercetin | UMUC3/ NIH 3T3 | ||
| Micelle / telmisartan - glycolipid | Doxorubicin | MCF-7 | ||
| Neovascular | CuS NPs / c(RGDfE) | Vinyl azide | HeLa | |
| Gold NPs | Endostatin | H22 | ||
| Hypoxia | Carbon dots doped with carbon nitride | Protoporphyrin | 4T1 | |
| MnO2 NPs / mannan-hyaluronic acid | Doxorubicin | 4T1 | ||
| MnO2 NPs / mesoporous silica | Doxorubicin | MCF-7/ADR | ||
| MnO2 NPs / BSA / hafnium | Cisplatin | 4T1 | ||
| Nitric oxide | Micelle /oligo (ethyleneglycol-methacrylate) / S-nitrosothiol | Cisplatin | Neuroblastoma | |
| Upconversion NPs / mesoporous SiO2 | Roussin's black salt, Doxorubicin | MCF-7/ADR |