| Literature DB >> 35127375 |
Qianqian Li1, Zhaoqing Shi1, Fan Zhang1, Weiwei Zeng1, Dunwan Zhu2, Lin Mei2.
Abstract
The immune system is involved in the initiation and progression of cancer. Research on cancer and immunity has contributed to the development of several clinically successful immunotherapies. These immunotherapies often act on a single step of the cancer-immunity cycle. In recent years, the discovery of new nanomaterials has dramatically expanded the functions and potential applications of nanomaterials. In addition to acting as drug-delivery platforms, some nanomaterials can induce the immunogenic cell death (ICD) of cancer cells or regulate the profile and strength of the immune response as immunomodulators. Based on their versatility, nanomaterials may serve as an integrated platform for multiple drugs or therapeutic strategies, simultaneously targeting several steps of the cancer-immunity cycle to enhance the outcome of anticancer immune response. To illustrate the critical roles of nanomaterials in cancer immunotherapies based on cancer-immunity cycle, this review will comprehensively describe the crosstalk between the immune system and cancer, and the current applications of nanomaterials, including drug carriers, ICD inducers, and immunomodulators. Moreover, this review will provide a detailed discussion of the knowledge regarding developing combinational cancer immunotherapies based on the cancer-immunity cycle, hoping to maximize the efficacy of these treatments assisted by nanomaterials.Entities:
Keywords: Cancer immunotherapy; Cancer‒immunity cycle; Drug delivery; ICD inducers; Immunomodulators; Nanomaterials; Photodynamic therapy; Photothermal therapy; Radio sensitizer
Year: 2021 PMID: 35127375 PMCID: PMC8799879 DOI: 10.1016/j.apsb.2021.05.031
Source DB: PubMed Journal: Acta Pharm Sin B ISSN: 2211-3835 Impact factor: 11.413
Figure 1Adaptive immunity in cancer therapy. Humoral immunity: APCs take up and present antigens by MHC II molecules to activate CD 4+ T cells; CD4+ T cells present antigens to B cells, resulting in the secretion of antigen-specific antibodies; antibodies associate with antigens and co-precipitate for digestion by macrophages or induce ADCC effect mediated by NK cells. Cellular immunity: cancer cells are engulfed by APCs; APCs cross-present antigens to naïve CD8+ T cells by MHC I molecules, which is accompanied by CTLA-4 expression on primed CD8+ T cells; primed CD8+ T cells recognize cancer cells via an MHC I/antigen complex and kill cells via the perforin, granzyme and Fas/FasL pathway; however, the association of CTLA-4 or PD-1 with their ligands can induce the dysfunction of primed CD8+ T cells.
Figure 2Cancer-immunity cycle. (1) Release of tumor antigens from damaged or dying cancer cells; (2) uptake and presentation of tumor antigens by APCs; (3) priming and activation of CD4+ and CD8+ T cells to trigger anticancer humoral and cellular immunity; (4) trafficking of NK cells, tumor antigen-specific antibodies, and CD8+ T cells; (5) infiltration and enrichment of NK cells, tumor antigen-specific antibodies, and CD8+ T cells into cancer tissues; (6) recognition and eradication of cancer cells via the cytotoxicity of CD8+ T cells and antibody-dependent cell-mediated cytotoxicity (ADCC) mediated by NK cells. The design of Fig. 2 was inspired by Fig. 1 of Ref. 20 with the copyright permission. Copyright © 2013 Elsevier Inc.
Figure 3Immunosuppression in cancer tissues.
Cancer-related cytokines.
| Cytokine | Main source | Function | Ref. |
|---|---|---|---|
| IL-6 | Macrophages Endothelial cells | Participates in acute inflammation and promote tumorigenesis | |
| IL-10 | Th2 cells Monocytes | Inhibits activated monocytes to produce cytokines | |
| TGF- | Monocytes T cells | Regulates the differentiation of Treg and Th17 cells | |
| TNF- | Monocytes Macrophages DCs | Pathogenic mediator of several autoimmune diseases; chronic exposure to TNF- | |
| IL-2 | Th1 cells | Activates T cells, NK cells, and macrophages | |
| IL-12 | DCs Macrophages | Activates NK cells and induces Th1 differentiation | |
| IL-15 | Activated myeloid cells | Activates T cells and NK cells | |
| IFN- | Activated T cells NK cells | Activates macrophages and MHC expression | |
| GM-CSF | Macrophages T cells | Induces the proliferation and differentiation of DCs |
Immune regulatory pairs.
| Regulator | Ligand | Source of ligand | Function |
|---|---|---|---|
| CTLA-4 | CD80 CD86 | APCs cancer cells | Limit T cell activity |
| PD-1 | PD-L1 PD-L2 | T and B cells cancer cells | Induce T cell exhaustion |
| BTLA | HVEM | T cells and APCs cancer cells | Inhibit T cell proliferation |
| TIM3 | GAL9 | Tregs cancer cells | Inhibit T cell proliferation |
| TIGHT | PVR PVRL2 | DCs | Inhibit T cell activation |
| LAG3 | MHC complexes | APC cells | Induce T cell exhaustion |
| CD40L | CD40 | APCs | Induce CTL priming |
| OX40 | OX40L | APCs | Promote T cell division and survival |
| CD27 | CD70 | DCs | Induce T cell priming |
| CD28 | CD80 CD86 | APCs | Induce T cell priming of |
| ICOS | B7RP1 | B cells macrophages | T cell co-stimulation |
FDA-approved ADCs for cancer therapy.
| Product | ADC | Approval date | Target | FDA-approved indication |
|---|---|---|---|---|
| Adcertris | Brentuximab vedotin | 2011 | CD-30 | Hodgkin's lymphoma |
| Kadcyla | Trastuzumab emtansine | 2013 | HER-2 | HER2-positive advanced breast cancer |
| Besponsa | Inotuzumab ozogamicin | 2017 | CD22 | Relapsed or refractory CD22-positive acute lymphoblastic leukemia |
| Mylotarg | Gemtuzumab ozogamicin | 2017 | CD33 | CD33-positive newly diagnosed acute myeloid leukemia |
| Lumoxiti | Moxetumomab pasudotox-tdfk | 2018 | CD22 | Adult patients with relapsed or refractory hairy cell leukemia |
| Policy | Polatuzumab vedotin-piiq | 2019 | CD-79 b | Adult patients with relapsed or refractory diffuse large B-cell lymphoma |
| Padcev | Enfortumab vedotin-ejfv | 2019 | Nectin-4 | Patients with locally advanced or metastatic urothelial cancer |
| Enhertu | Fam-trastuzumab Deruxtecan-nxki | 2019 | HER-2 | Adult patients with HER2-positive unresectable or metastatic breast cancer |
Figure 4Nanomaterials target different stages of the cancer–immunity cycle individually or simultaneously. Currently used nanomaterials mainly induce the ICD of cancer cells, promoting the antigen uptake and maturation of APCs, enhancing the cross-presentation of APCs, and regulating the immunosuppressive microenvironment of cancer tissues.
Figure 5Liposomes anchoring IL-2-fused Fc and an agonistic CD137 antibody resulted in anticancer immunity without systemic toxicity. (A) Cryo-TEM image of a IL-2-Fc-liposome (anti-CD137 liposomes were similar). (B) CD8+ T cell counts were determined following the treatment of polyclonal T cells from C57Bl/6 mice with soluble or liposomal IL-2-Fc (10 ng/mL of protein). (C) secreted IFN-γ was analyzed and then activated T cells were incubated with soluble anti-CD137 or Lipo-αCD137 (final αCD137 concentration: 10 μg/mL). (D) frozen sections of tumor after injections of Alexa-568-labeled αCD137 and IL-2-Fc and Lipo-αCD137 + Lipo-IL2-Fc. (E) tumor sizes in C57Bl/6 mice following treatment with αCD137 + IL-2-Fc, Lipo-αCD137 + Lipo-IL-2-Fc, or Lipo-IgG. (F) Bioluminescence images of C57BL/6 mice carrying luciferase-expressing B16F10 tumors, after treatment with Lipo-αCD137 + Lipo-IL-2-Fc or Lipo-IgG. Reprinted with the permission from Ref. 115. Copyright © 2019 Nature Publishing Group.
Figure 6A dual immunotherapy nanoparticle targeting PD-1 and OX40 improved anticancer immunity. (A) Schematic of DINP-facilitated enhancement of combination immunotherapy. (B) images of nanoparticles before and after antibody conjugation (scale bar: 100 nm). (C) tumor size and survival curves of C57BL/6 mice with B16F10 tumors following treatment with different drugs. (D) immunofluorescent images of tumors after treatment of different drugs. Reprinted with the permission from Ref. 123. Copyright © 2018 WILEY-VCH Publishing Group.
Figure 7Photothermal therapy with immune-adjuvant nanoparticles induced anticancer immunity. (A) Schematic of immune-adjuvant nanoparticle constructed by PLGA loaded with ICG and R837 and its effect on immune system. (B) tumor volume of 4T1 and CT26 distant tumors following the indicated treatment of the primary tumor. (C) CD4+ and CD8+ T cells counts of distant tumors following the indicated treatment of the primary tumor. Reprinted with the permission from Ref. 145. Copyright © 2016 Nature Publishing Group.
Figure 8Gold nanoparticles in situ generated in B16F10 and DCs for the combination of PPT and immunotherapy. (A) Schematic of construction and immunological functions of AUNP@DCB16F10. (B) TEM images of AUNP@DCB16F10. (C) temperature change (ΔT) of AuNP, AuNP@DCL929, and AuNP@DCB16F10. (D) images presenting live/dead cells after treatment with AuNP@DCB16F10 or/and laser. (E) primary tumor volume following the indicated treatment. (F) distant tumor weight following the indicated treatment. (G) DC maturation following the indicated treatment. (H) CD4+ T cell count after the indicated treatment. Reprinted with the permission from Ref. 161. Copyright © 2019 ACS Publishing Group.
Figure 9ROS generation in photodynamic therapies.
Potential ICD nano-inducers.
| Nanomaterial | Component | Function | ICD biomarker | Ref. |
|---|---|---|---|---|
| FAL-ICG-HAuNS | ER-targeting pardaxin (FAL) peptides-modified, ICG-conjugated hollow gold nanospheres | PTT | ROS generation and CRT exposure | |
| Prussian blue nano-particles | Coordination compound between Fe2+, Fe3+ and CN | PTT | ATP release, HMGB1 release and CRT exposure, vaccination mediated prevention of tumor challenge | |
| Single-walled nanotubes (SWNTs) | PEG-grafted amphiphilic polymer-decorated SWNTs | PTT | DC maturation and the expression of pro-inflammatory cytokines, no direct ICD biomarkers are evaluated, primary and metastatic tumor inhibition through combination of CTLA-4 mAbs | |
| Fe-TBP MOF | Solvothermal synthesis from [Fe3O(OAc)6(H2O)3] OAc | PDT | Exposure of calreticulin, proliferation of tumor-antigen | |
| PGA@glucose oxidase@carbon dot nanoparticles | Poly ( | PDT | No direct ICD biomarkers are evaluated, inhibition of distal tumors, better anticancer outcome combined with | |
| Hf-based nMOF | Hf6-DBA with a formula of Hf6( | RT | Exposure of calreticulin, release of HMGB1, proliferation of CD8+ and CD4+ T cells, inhibition of distal tumors, prevention of tumor challenge | |
| A hybrid core‒shell vesicle (HCSVs) | Ascorbic acid (AA) in the core and poly (lactic | CDT ferroptosis | CRT exposure, GPX4 downregulation, the maturation of DCs, proliferation of CD8+ T cells in DLN, inhibition of primary tumor | |
| Ferrihydrite nanoparticles | PEGylation of ferrihydrite nanoparticles | Ferroptosis | Glutathione peroxidase 4 (GPX4) inhibition, increasing of ROS level, TAM polarization from M2 to M1, inhibition of tumor metastasis | |
| Iron oxide nanoparticles | Iron oxide nanoparticles | MHT | Activation of DCs and CD8+ T cells in LN, production of cytokines and chemokines, inhibition of distal tumor, prevention of tumor challenge | |
| FeNPs | Pure iron nanoparticles functionalized with polyethylene glycol (PEG)/dopamine (DA) -cografted polymer | MHT | Increase of CD8+ T cells in secondary tumor, slight inhibition of secondary tumor, better anticancer effect after combination with R837 and |
Figure 10NIR triggered PDT combinatorial therapy with immune checkpoint blockade. (A) Schematic showing the anticancer function of UCNP-Ce6-R837. (B) tumor volume of primary and distant CT26 tumors following the indicated treatment; the level of CD8+ CTL cells (C), Treg cells (D) and the CD8+ CTL/Treg ratio (E) in distant tumors, and IFN-γ cytokine levels in sera (F) from mice following the indicated treatment. Reprinted with the permission from Ref. 215. Copyright © 2017 ACS Publishing Group.
Figure 11In situ vaccine elicited by combined RT + BNP. Reprinted with the permission from Ref. 217. Copyright © 2019 John Wiley and Sons Group.
Figure 12The scheme of OSPS mediated combinatory cancer therapy. Reprinted with the permission from Ref. 218. Copyright © 2019 John Wiley and Sons Group.
Figure 13Anticancer immune response induced by OSPS. (A) OSPS-mediated tumor inhibition and lung metastasis. (B) Growth curves of primary tumors in 4T1 tumor-bearing mice. (C) Growth curves of distant tumors in 4T1 tumor-bearing mice. (D) H&E staining of lung metastasis in 4T1 tumor-bearing mice. (E) Number of metastatic nodules in 4T1 tumor-bearing mice (F) The Kyn/Trp ratio in primary tumors in 4T1 tumor-bearing mice. (G) Population of CD3+CD8+ T cells in distant tumors. (H) IFN-γ producing T-cells in distant tumors. (I) Treg cells in distant tumors. ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, n = 5. CSPN, nanoparticles without NLG919. Reprinted with the permission from Ref. 218. Copyright © 2019 John Wiley and Sons Group.