| Literature DB >> 36014696 |
Yuanfei Lu1, Na Feng1, Yongzhong Du2, Risheng Yu1.
Abstract
Hepatocellular carcinoma (HCC) is still a main health concern around the world, with a rising incidence and high mortality rate. The tumor-promoting components of the tumor microenvironment (TME) play a vital role in the development and metastasis of HCC. TME-targeted therapies have recently drawn increasing interest in the treatment of HCC. However, the short medication retention time in TME limits the efficiency of TME modulating strategies. The nanoparticles can be elaborately designed as needed to specifically target the tumor-promoting components in TME. In this regard, the use of nanomedicine to modulate TME components by delivering drugs with protection and prolonged circulation time in a spatiotemporal manner has shown promising potential. In this review, we briefly introduce the obstacles of TME and highlight the updated information on nanoparticles that modulate these obstacles. Furthermore, the present challenges and future prospects of TME modulating nanomedicines will be briefly discussed.Entities:
Keywords: hepatocellular carcinoma; immunosuppression; nanoparticles; tumor microenvironment
Year: 2022 PMID: 36014696 PMCID: PMC9414814 DOI: 10.3390/nano12162832
Source DB: PubMed Journal: Nanomaterials (Basel) ISSN: 2079-4991 Impact factor: 5.719
Figure 1Schematic of the obstacles and their crosstalk in the dynamic TME of HCC. Complex connections affect the growth of HCC and hinder the immune system’s ability to fight it by promoting the activation of immune cells with immunosuppressive qualities. The growth and progression of HCC induce tumor abnormal vasculature and hypoxia, which negatively impacts the infiltration of immune cells and impairs host immunity. Immune suppressive cell types in the TME (MDSC, regulatory Tregs, and M2-TAM) secrete factors that establish immune tolerance to block cancer cell destruction. HCC: hepatocellular carcinoma; TME: tumor microenvironment; CAFs: cancer-associated fibroblasts; ECM: extracellular matrix; TAM: tumor-associated macrophages; MDSC: myeloid-derived suppressor cells; Tregs: regulatory T cells; GM-CSF: granulocyte-macrophage colony-stimulating factor; IL-6: interleukin-6; TGF-β: transforming growth factor-β; IFN-γ: Interferon-γ; HIF: hypoxia-inducible factor; VEGF: vascular endothelial growth factor; IFG-2: insulin-like growth factor-2; ANG-1: angiopoietin-1.
Nanomedicine-based strategies for TME modulation in HCC.
| Target | NP | Size (nm) | Mechanism | Animal Model | Cell Lines | Ref |
|---|---|---|---|---|---|---|
| Anti-angiogenesis | encapsulating sorafenib with PAM-PBLG-b-TPGS | 118.3 ± 5.1 | release sorafenib target angiogenic pathways | Balb/C nude mice | HepG2 and LO2 | [ |
| galactose modified GTC co-delivery iSur-Pdna and siVEGF | 130−160 | VEGF was depleted with siVEGF | female Balb/c nude mice and female Kunming mice | BEL-7402 | [ | |
| co-delivery of sorafenib and siVEGF based on mesoporous silica nanoparticles | 148.5 ± 3.5 | sustained release of sorafenib and siVEGF | NA | HepG2, Huh, HeLa and A549 | [ | |
| MTX and CA4 loaded N-urocanyl pullulan | 187.1 ± 15.2 | Release anti-tumor drug MTX and vascular disruption agents CA4 | Balb/c and nude mice | HepG2, PLC/PRF/5 and A549 | [ | |
| ECM/CAF | loaded MMF based on 1, 2-distearoyl-sn-glycero-3-phosphoethanolamine-N-poly | 156.23 ± 60.38 | MMF inhibited fibroblasts proliferation and tubulin expression; reduced CAF density | C57BL/6 mice, nude mice | Huh7, SUN 449, LM3, LX2, Hep1-6, NIH-3T3 | [ |
| DOX-KGFRWR | long nanofibers with average widths of 10.51 nm | MMP inhibition and antiproliferative effects | male Sprague–Dawley rats; male Institute of Cancer Research mice | SMMC7721 | [ | |
| RA- and DOX-loaded lipid nanoparticles modified with chondroitin sulfate | smaller than 100 | RA disrupted the ECM barrier by destroying the Golgi structure of hepatoma cells and HSCs, while DOX-induced cell death. | Male Kunming mice | SMMC-7721 and H22 | [ | |
| MDSC | FA-chitosan/mIP-10 nanoparticles | 315.5 | sustained local IP-10 expression reduced the number of MDSCs, and attracted CXCR3+CD8+ T cells to the tumor | Female C57BL/6 mice | Hepa1-6 | [ |
| T cell | FA modified TMC co-delivery DOX and IL-2 | 198.1 ± 1.4 | improve the amounts of infiltrated cytotoxic T lymphocytes cells. | Female Kunming mice | SMMC-7721 and A549 | [ |
| poly(d,l-lactide-co-glycolide) nanoparticle, by loading IL-12 and modifying with CD8 and Glypican-3 antibodies o | 145−172 | target T cells and deliver IL-12 to T cells for effective activation and proliferation. | NA | HepG-2 | [ | |
| 2DG-encapsulated PLGA nanoparticles | 120 | activated CD8+ T-cell chemotaxis in the tumor microenvironment via the decreased production of lactate in tumors, the increased IFN-γ production and glucose uptake in CD8+ T cells, and production of CXCL9/CXCL10/CXCL11 in both the tumors and CD8+ T cells | nude mice with xenograft tumors | The Huh7, HepG2, B16F10, BxPC3, OS-RC-2, and HT29 cells | [ | |
| TAM | AMD3100 modified lipid-coated PLGA nanoparticles with sorafenib-containing | 150−200 | suppressed the infiltration of TAMs | Male C3H/HeNCrNarl mice | HCA-1 and JHH-7 | [ |
| a nanoliposome-loaded C6-ceramide | NA | reduces not only TAM frequency but also its suppressive function and increased the activity of CD8+ T cells | Male C57BL/6 mice | TAg-transformed B6/WT-19 cells | [ | |
| mannose-modified IMD-0354 loaded cationic lipid-based nanoparticles coated with polymer O-carboxymethyl-chitosan | 129.4 ± 6.8 | TAM re-polarization | C57BL/6 mice | Hepa1-6 | [ | |
| MNPs-MPLA-siRNA | 40−400 | inhibiting the activity of c-MYC oncogene to reduce the pro-tumoral response from M2 macrophages. | NA | Hep-G2 | [ |
PAM-PBLG-b-TPGS: poly(amidoamine)-poly(γ-benzyl-L-Glutamate)-b-D-α-tocopheryl polyethylene glycol 1000 succinate; GTC: trimethyl chitosan-cysteine; VEGF: vascular endothelial growth factor; NA: not available; MTX: methotrexate; CA4: combretastatin A4; ECM: extracellular matrix; CAF: cancer-associated fibroblasts; MMF: mycophenolate mofetil; DOX-KGFRWR: doxorubicin-conjugated hexapeptide; MMP: matrix metalloproteinases; RA: retinoic acid; HSCs: Hepatic stellate cells; MDSC: Myeloid-derived suppressor cells; FA: folate; mIP-10: mouse interferon-induced protein-10 gene; TMC: N,N,N-trimethyl chitosan; IL-2: Interleukin-2; 2DG: 2-deoxy-D-glucose; PLGA: poly(lactic-co-glycolic acid); IFN-γ: Interferon-γ; TAM: tumor-associated macrophage; MNPs: Plasma membrane-derived nanoparticles co-delivery monophosphoryl lipid A and small interfering RNA.
Figure 2(A) Schematic illustration of synthesis procedure of SO/siVEGF@MSN-LA NPs and (B) inhibiting effect on the proliferation of cancer cells. MSN: mesoporous silica nanoparticles; SO: sorafenib; LA: lactobionic acid; siVEGF: vascular endothelial growth factor small interfering RNA. (Copyright © 2017 Elsevier B.V. All rights reserved, https://doi.org/10.1016/j.ejps.2017.10.036).
Figure 3MMF-LA@DSPE-PEG inhibited HCC growth by depleting CAF. Mice were orally administrated with free MMF (20 mg/kg) or intravenously injected with MMF-LA NPs (at 20 mg/kg MMF-equivalent dose) every other day four times. (A), Tumor images of different groups, (n = 6). (B), Tumor growth curves of different groups, ** p < 0.01. (C), Tumor inhibition rates of different treatments. (n = 6), ** p < 0.01, *** p < 0.001. (D), Bodyweights (mean ± SD, n = 6) of mice in different groups. (E), Expression levels of α-SMA, FAP, collagen IV, and CD31 determined by Immunohistochemistry. The scale bars: 200 µm. (F), Quantitative analysis of panel E (Image J software), data are shown as the mean ± SD, (n = 3), ** p < 0.01, *** p < 0.001. MMF-LA: Mycophenolate mofetil-linoleic acid; DSPE-PEG: 1, 2-distearoyl-sn-glycero-3-phosphoethanolamine-N-poly (ethylene glycol); CAF: cancer-associated fibroblast; α-SMA: alpha-smooth muscle actin; FAP: fibroblast activation protein. (© 2021 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. https://doi.org/10.1111/jcmm.16434).
Figure 4Schematic representation of the mechanism of immunogene therapy by TT-LDCP NPs containing siRNA against the immune checkpoint PD-L1 and Pdna encoding the immunostimulating cytokine IL-2. Active tumor targeting was achieved through the addition of the HCC-targeted SP94 peptide to the surface of the NPs.