| Literature DB >> 36015215 |
Linna Yu1, Yi Jin2, Mingjie Song2, Yu Zhao1, Huaqing Zhang2.
Abstract
Recent significant strides of natural compounds in immunomodulation have highlighted their great potential against cancer. Despite many attempts being made for cancer immunotherapy, the biomedical application of natural compounds encounters a bottleneck because of their unclear mechanisms, low solubility and bioavailability, and limited efficacy. Herein, we summarize the immune regulatory mechanisms of different natural compounds at each step of the cancer-immunity cycle and highlight their anti-tumor potential and current limitations. We then propose and present various drug delivery strategies based on nanotechnology, including traditional nanoparticles (NPs)-based delivery strategies (lipid-based NPs, micelles, and polysaccharide/peptide/protein-based NPs) and novel delivery strategies (cell-derived NPs and carrier-free NPs), thus providing solutions to break through existing bottlenecks. Furthermore, representative applications of nature-inspired nanomedicines are also emphasized in detail with the advantages and disadvantages discussed. Finally, the challenges and prospects of natural compounds for cancer immunotherapy are provided, hopefully, to facilitate their far-reaching development toward clinical translation.Entities:
Keywords: cancer immunotherapy; controlled drug release; drug delivery; green materials; natural compounds
Year: 2022 PMID: 36015215 PMCID: PMC9412684 DOI: 10.3390/pharmaceutics14081589
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.525
Figure 1An overview of different steps of the immune response, delivery strategies, and biomedical applications of natural compounds for cancer immunotherapy.
Figure 2Immune regulatory mechanisms of various natural compounds based on the cancer-immunity cycle.
Figure 3Schematic of EGCG for cancer immunotherapy. (A) EGCG is the active compound derived from green tea. (B) Schematic of the mechanisms of EGCG for the inhibition of the PD-1/PD-L1 axis. (C) Downregulation of epidermal growth factor (EGF) and IFN-γ-induced PD-L1 protein in Lu99 cells after EGCG treatment. (D) Downregulation of p-STAT1 and STAT1 in B16F10 cells after EGCG treatment. (E) Immunofluorescence images of tumor tissue sections stained with CD8 (green) and DAPI (blue). (F) Immunofluorescence images of tumor tissue sections stained with CD8 (green), PD-L1 (red), and DAPI (blue). Reprinted with permission from Ref. [90]. Copyright 2018, copyright MDPI. Reprinted with permission from ref. [91]. Copyright 2021, copyright MDPI.
Liposome-based combination preparations for cancer immunotherapy.
| Drug Combination | Loading Strategies | Improved Effect | Disease Models | Ref. |
|---|---|---|---|---|
| DOX and carborane (CB) | DOX-CB conjugates were entrapped in the lipid bilayer | Coupling boron neutron capture therapy with immunotherapy | Glioblastoma models | [ |
| DOX and CpG | DOPE-DOX-conjugate and DOPE-MMP-9 responsive peptide-CpG conjugate self-assemble into NPs | Co-delivery of chemotherapeutics with adjuvants | E.G7-OVA tumor models | [ |
| PTX and αGC | PTX and glycolipid αGC were co-encapsulated in the lipid bilayer | Co-delivery of chemotherapeutics with adjuvants | B16F10 melanoma xenograft and lung | [ |
| CPT and Cur | CPT and Cur were entrapped in the lipid bilayer | Cur could downregulate the CPT-induced elevated PD-L1 expression and reduce Treg-mediated immunosuppression | Glioblastoma models | [ |
| DOX and PD-L1 inhibitor | DOX was encapsulated inside and DSPE-PEG2000-MMP-responsive peptide-PD-L1 inhibitor was inserted into the lipid bilayer | Combination of cancer immunotherapy and chemotherapy to enhance the anti-tumor effect | B16F10 melanoma models | [ |
| DOX and silybin (SLN) | DOX-loaded liposomes and SLN-loaded liposomes | SLN-loaded liposomes could change stromal structures and abrogate immunosuppression when in combination with DOX-loaded liposomes | Triple-negative breast cancer | [ |
| IOX1 and DOX | IOX1-loaded liposomes and DOX-loaded liposomes | IOX1 could inhibit P-gp of cancer cells to enhance DOX-triggered ICD | Triple-negative 4T1 breast cancer models | [ |
| PTX, thioridazine (THZ), and HY19991 (HY) | PTX-loaded micelles, THZ, and HY were entrapped in the aqueous core | Co-delivery of therapeutics against bulk tumor cells, cancer stem cells, and immune checkpoints | Breast cancer models | [ |
Figure 4Schematic of sHDL-Dox for chemo-immunotherapy. (A) Schematic of the lipid-DOX conjugate and the preparation process. (B) The image of sHDL-DOX using a transmission electron microscope. Scale bars, 50 nm. (C) The release of DOX at pH 5 and pH 7.5. Data represent mean ± SD (n = 3). (D) Schematic of sHDL-DOX triggering antigen release for cancer immunotherapy. (E) The increased percentage of IFN-γ + CD8+ T cells induced by sHDL-DOX. (F) The increased percentage of CT26 tumor antigen peptide AH1-specific CD8+ T cells induced by sHDL-DOX. Reprinted with permission from Ref. [123]. Copyright 2018, copyright the American Association for the Advancement of Science.
Figure 5Schematic of SRNs for cancer immunotherapy. (A) Schematic of the structure of two prodrugs and the pH-responsive behavior for sequential drug release. (B) Schematic of sequential activation mechanisms of immune response after peritumoral injection with SRNs in the tumor-bearing mice. (C) Representative images of tumor tissues at 2 and 12 h after peritumoral injection with SRNs. (D) Representative images of lymph nodes tissues at 12 and 48 h after peritumoral injection with SRNs. (E) Expression levels of CD80 and CD86 on DCs after treatment of SRNs. Reprinted with permission from ref. [143]. Copyright 2021, copyright American Chemical Society.
Figure 6Schematic of SNPs for cancer immunotherapy. (A) Schematic of the assembly of the supramolecular monomer (CD-S-CPT) and construction of SNPs. (B) The elemental mapping of SNPs. (C) Representative images of TUNEL staining of the tumor tissues after treatment with different preparations. (D) Schematic of the mechanism of SNPs-based combination therapy with ICI to elicit anti-tumor immunity. Reprinted with permission from Ref. [146]. Copyright 2022, copyright Wiley-VCH.
Representative living cell-mediated nanoparticles.
| Cells | Key Characteristics | Therapeutics | Disease Models | Ref. |
|---|---|---|---|---|
| Macrophage | Tumor targeting; | CEL NPs | Abdominal metastasis of lung cancer models | [ |
| DCs | Tumor targeting; | Dox-polyglycerol-nanodiamond composites | Glioblastoma models | [ |
| Neutrophils | Tumor targeting; | PTX and aPD-1 co-loaded NPs | Glioblastoma models | [ |
| T cells | Tumor targeting; | Liposomal immune regulators | Subcutaneous B16-OVA tumor models | [ |
| Platelets | High abundance in the blood; | Dox and cross-linked aPD-L1 nanogels | Postsurgical melanoma models | [ |
| Mesenchymal stem cells | Tumor targeting; | Dox-loaded liposomes | Subcutaneous tumor and lung metastasis models | [ |
| Bacteria | Tumor targeting; | PLGA-R848 and PLGA-DOX | Orthotopic | [ |