| Literature DB >> 34158866 |
Xingyue Huang1, Yang Lu1, Mingxue Guo1, Shouying Du1, Ning Han1.
Abstract
Cancer has been a great threat to humans for decades. Due to the limitations of monotherapy, combinational therapies such as photothermal therapy (PTT) and immunotherapy have gained increasing attention with expectation to overcome the shortfalls of each other and obtain satisfactory therapeutic outcomes. PTT can inhibit primary tumors by thermal ablation but usually fails to achieve complete eradication and cannot prevent metastasis and recurrence. Meanwhile, the efficacy of immunotherapy is usually attenuated by the weak immunogenicity of tumor and the immunosuppressive tumor microenvironment (ITM). Therefore, many recent studies have attempted to synergize PTT with immunotherapy in order to enhance the therapeutic efficacy. In this review, we aim to summarize the cutting-edge strategies in combining nano-based PTT with immunotherapy for cancer treatment. Herein, the combination strategies were mainly classified into four categories, including 1) nano-based PTT combined with antigens to induce host immune responses; 2) nano-based PTT in combination with immune adjuvants acting as in situ vaccines; 3) nano-based PTT synergized with immune checkpoint blockade or other regulators to relieve the ITM; 4) nano-based PTT combined with CAR-T therapy or cytokine therapy for tumor treatment. The characteristics of various photothermal agents and nanoplatforms as well as the immunological mechanisms for the synergism were also introduced in detail. Finally, we discussed the existing challenges and future prospects in combined PTT and immunotherapy. © The author(s).Entities:
Keywords: cancer; combination therapy; immunotherapy; nanoplatforms; photothermal therapy
Year: 2021 PMID: 34158866 PMCID: PMC8210617 DOI: 10.7150/thno.56482
Source DB: PubMed Journal: Theranostics ISSN: 1838-7640 Impact factor: 11.556
Photothermal materials combined with immune modulators for photothermal-immunotherapy
| Photothermal agent | Type | Nanocarrier | Immunotherapy | Immunotherapy agent | Cancer model | Therapeutic outcome | References |
|---|---|---|---|---|---|---|---|
| pD | organic | MPDA NPs | Immune adjuvant | R837 | B16F10 | Significantly suppressed primary tumor growth and notably prolonged the survival time of mice | |
| PANI | organic | GCS | Immune adjuvant | R848 | CT26 | Almost completely restrained the primary tumor and effectively suppressed the tumor recurrence and metastasis | |
| pD | organic | Al2O3 NPs | Immune adjuvant | Al2O3, CpG ODNs | B16F10 | Significantly inhibited the primary tumor and prolonged the survival time of mice | |
| IR7 | organic | Liposomes | Immune adjuvant | CpG ODNs | CT26 | Effectively eradicated primary tumors in mice and inhibited tumor metastasis. | |
| ICG | organic | Liposomes | Immune adjuvant | Poly I:C | CT26, B16F10 | Almost completely restrained the primary tumor growth and prevented metastasis of cancer | |
| ICG | organic | PLEL hydrogel | Immune adjuvant | R848, CpG ODNs | 4T1 | Inhibited the residual tumor growth after surgery, prevented recurrence and metastasis | |
| ICG | organic | Fe3O4 NPs | Immune adjuvant | R837 | 4T1 | Inhibited tumor growth, metastasis and recurrence | |
| BPQDs | inorganic | Hydrogel | Immune adjuvant, Immune checkpoint inhibition | LPS, GM-CSF, PD-1 antibody | 4T1-luc, B16F10-luc | Inhibited the recurrence and metastasis of tumors and prolonged the survival rate | |
| ICG | organic | OVA | Exogenous tumor antigen | OVA | B16 | Almost totally inhibited the primary tumor growth and prevented occurrence of tumor | |
| BPQDs | inorganic | Exosomes | Exogenous tumor antigen | Exosomes | LLC | Significantly delayed tumor occurrence and almost totally inhibited the primary tumor growth | |
| ICG | organic | Eukaryotic-pr-okaryotic vesicle, PLGA | Exogenous tumor antigen, adjuvant | Melanoma cytomembrane vesicles, attenuated Salmonella outer membrane vesicles | B16 | Almost totally inhibited primary tumor and efficiently suppressed tumorgenesis | |
| MnFe2O4 | inorganic | MnFe2O4 NPs | Exogenous tumor antigen, adjuvant | OVA, R837 | 4T1 | Effectively restrained primary tumor growth and prevented lung metastases, resulting in a prolonged survival time and improved survival rate | |
| Au@Pt NPs | inorganic | Au@Pt NPs | Immune checkpoint inhibition | PD-L1 antibody | 4T1 | Effectively eliminated primary tumors, inhibited the growth of distal tumors and alleviated tumor metastasis | |
| BPQD | inorganic | Nanovesicle | Immune checkpoint inhibition | PD-1 antibody | 4T1 | Significantly inhibited primary and secondary tumor growth | |
| HAuNS | inorganic | PLGA | Immune checkpoint inhibition | PD-1 antibody | CT26, 4T1 | Efficiently eliminated most primary tumors, significantly inhibited the growth of the distant tumors, and induced the longest survival time | |
| PBNP | inorganic | PBNP | Immune checkpoint inhibition | CTLA-4 antibody | Neuro2a | Decreased tumor growth rates and exhibited protection against tumor re-challenge | |
| Melanin nanoparticles | organic | Melanin NPs | IDO inhibition | INCB24360 | 4T1 | Strongly inhibited both primary and abscopal 4T1 tumors | |
| Fe3O4 NPs | inorganic | PLGA | Immune checkpoint inhibition, immune adjuvant | R837, PD-1 antibody | 4T1 | Significantly inhibited both the primary and distant tumors and effectively prevented the lungs/liver metastasis | |
| ICG | organic | Covalent organic frameworks | Exogenous tumor antigen, immune checkpoint inhibition | OVA, PD-L1 antibody | CT26 | Effectively eliminated primary tumor and inhibited the metastasis of cancer cells | |
| Bi2Se3 nanocage | inorganic | Bi2Se3 nanocage | Immune checkpoint inhibition, immune adjuvant | R848, PD-L1 antibody | 4T1 | Totally inhibited both the primary tumor and distant tumor and established long-term immune memory | |
| ICG | organic | Liposome | Immune checkpoint inhibition | PD-1 antibody, TIM-3 antibody | MC38, CT26 | Cleared the primary tumor and inhibited the growth of the distant tumor | |
| Au40C-DOPC | inorganic | PLGA | Immune checkpoint inhibition, immune adjuvant | R837, PD-L1 antibody | 4T1 | Significantly suppressed both the primary tumor and distant tumor | |
| IR1061 | organic | PAAV-SNO | IDO inhibition | IDO inhibitor | 4T1 | Significantly inhibited the primary tumor growth with 4/6 mice became tumor free and suppressed breast lung metastasis | |
| ICG | organic | PLGA | CAR-T therapy | CAR-T cells | WM115 | Significantly inhibited the primary tumor growth with 2 out of 6 mice being completely cured | |
| GNR | inorganic | GNR | Immune checkpoint inhibition, STING | PD-1 antibody, STING | K7 | Strongly inhibited the primary tumors and significantly retarded distant tumors | |
| Au NPs | inorganic | Au NPs and TNF-α | Cytokine therapy | TNF-α | 4T1 | Significantly inhibited the primary 4T1 tumors | |
| CuS | inorganic | MSN | Cytokine therapy | IL-12 | B16F10 | Effectively inhibited both primary and distant tumors |
Figure 1(A) Photothermal images and (B) tumor temperature curves of tumor-bearing mice after intravenous injection of CD or CD@MSN followed by 808 nm laser irradiation (0.75 W cm-2). (C) Changes of tumor volume over time after different treatments. Data were represented as mean ± SD (n = 4). Statistical significance was calculated by one-way ANOVA using the Tukey post-test (***p < 0.001). (D) Photos of the lungs harvested from different treatment groups 14 days after administration (the yellow dotted line circled the metastatic tumor focis) and corresponding H&E stained sections (the blue dotted line presented the border of the metastatic tumors), respectively. Bar = 100 μm. (E) Concentrations of granzyme B and IFN-γ in mice plasma from different groups. (F, G) Representative flow cytometric quantification of proliferation and differentiation of NK cells (F) and macrophages (G) gating on CD45+ cells harvested from different organs. Adapted with permission from 46, copyright 2019 Nano Letters.
Figure 2(A) Illustration for fabrication and mechanism of OVA-ICG nanovaccine for photothermal-immunotherapy against tumor, DC stimulation/tracking, and tumor prevention. (B) Expression levels of surface molecules (MHC-II, CD80, and CD83) on DC 2.4 cells after activation with pure OVA, pure ICG, and OVA-ICG nanovaccine. (C) TNF- α and IL-6 in the DC 2.4 cell culture supernatant after incubation with OVA, ICG, and OVA-ICG for 24 and 48 h. (D) Schematic illustration of protocol for therapeutic assay and tumor growth curves of the mice with different treatments. (E) Schematic illustration of protocol for tumor prevention assay and tumor growth curves of the mice treated with PBS or OVA-ICG. Adapted with permission from 50, copyright 2018 Advanced Materials.
Figure 3(A) Schematic preparation of AuNP@DCB16F10 and mechanism of AuNP@DCB16F10-mediated combinational treatment modality. (B) IR thermal images and corresponding temperature profiles of tumor-bearing mice injected with PBS, AuNP@DCL929, and AuNP@DCB16F10, respectively, with laser irradiation (n = 3). (C) Tumor growth curves after different treatments with or without laser irradiation of 2.0 W cm-2 (n = 7). The arrows represent the injection time. (D) Weight of the distant B16F10 tumor harvested at 19th day. (E) 4T1-tumor growth curve (n = 8). (F) Representative images of stained lungs of different groups. The arrows refer to the 4T1-tumor nodules on surface. Adapted with permission from 53, copyright 2019 Nano Letters.
Figure 4(A) Schematic depiction of PVP-MPDA@R837 nanoparticles and the mechanism of intrigued anti-tumor immune responses. (B) Tumor volumes of B16F10-bearing mice receiving different treatments. Footpad injections of various formulations were performed once every 3 d from 0 d for three times and tumor laser irradiation was applied at 24 h after injection. (C) Representative flow cytometry plots of CD80+ or CD86+ among CD11c+ DCs extracted from the popliteal LNs (tumor sentinel LNs). (D) Representative flow cytometry plots illustrated CD3+ CD8a+ T cells in splenocytes. Adapted with permission from 58, copyright 2020 Biomaterials.
Figure 5(A) Chemical structure of pD-Al2O3 nanoparticles. (B) Tumor growth curve after the indicated treatments (8 mice per group). (C) Proportions of tumor-infiltrating CD8+ T cells and CD4+ T cells in TDLNs and spleens of mice after the indicated treatments. Proportions were determined using flow cytometry. Pound signs in panel C indicate P values for comparisons between pD-Al2O3 + Laser + CpG and Control using the Student's 2-tailed t test. * P < 0.05; **P < 0.01. (D) Survival of mice after the indicated treatments (8 mice per group). (E) Tumor growth curve (8 mice per group). Adapted with permission from 67, copyright 2018 Theranostics.
Figure 6(A) Schematic diagram of poly I:C release from piTRL under NIR-laser irradiation. (B) The concentration of released poly I:C from piTRL under NIR-laser irradiation at a power intensity of 1W cm-2. (C) The survival rate of CT-26 challenged BALB/c mice and B16 challenged C57BL/6 mice were monitored, n = 5 for each group. (D) Tumor growth curves for CT-26 and B16 carcinoma with or without laser irradiation. Data are from the analyses of six individual mice. Adapted with permission from 72, copyright 2019 Journal for Immunotherapy of Cancer.
Figure 7Schematic illustration of A) the preparation process of RIC NPs@PLEL hydrogels and B) photothermal-immunotherapy to prevent post-surgery tumor recurrence. (C) Reversible sol-gel transformation photos of PLEL hydrogels and RIC NPs@PLEL hydrogels. (D) Recurrence-free rate of mice after various treatments. (E) Maturation of BMDCs. (F, G) TNF-α and IL-6 secreted in the BMDC cell culture supernatant after different treatments. **p < 0.01 and ***p < 0.001. (H) Lung metastatic nodules at the end of different treatments. Adapted with permission from 76, copyright 2020 Advanced Functional Materials.
Figure 8Schematic illustration of fabrication of eukaryotic-prokaryotic vesicles coated PI@EPV nanovaccine. Adapted with permission from 78, copyright 2020 Advanced Materials.
Figure 9(A) Schematic illustration of M@C NPs for cancer immunotherapy by ICD induction and immune checkpoint blockade. (B) Expression of CRT proteins on the surface of 4T1 cells. (C) Changes of primary tumor growth. (D) The changes of distance tumors growth. (E) Quantification of fluorescent signals from immunofluorescent staining of CD3+ T cells and (F) CD8+ T cells in tumors. (G) ELISA analysis of IL-6 and (H) IL-12. i-vi represent mice treated with: (i)M@C + L + IDOi, (ii) M@C + L, (iii) M + L + IDOi, (iv) M@C + IDOi, (v) L, (vi) PBS. P values were calculated using the t-test (***P < 0.001, **P < 0.01, *P < 0.05) to compare other groups with group i. Adapted with permission from 90, copyright 2020 Chemical Communications.
Figure 10Scheme of the preparation pathway of NLG919(IODI)/IR780 co-loaded micelles and the mechanism by which the NLG919/IR780-micelle mediated PTT combined with immunotherapy suppressed the growth of the tumor margin beyond effective PTT and the distal (or secondary) tumor. Adapted with permission from 91, copyright 2018 Advanced Science.
Figure 11(A) The schematic illustration for ICG-loaded liposome as a theranostic nanoplatform and PTT in the primary tumor and immunological changes in the distant tumor after PTT with dual blockade of PD-1 and TIM-3. (B) Primary tumor growth profile of MC-38 and CT26 bearing mice from each group. (C) Distant tumor outgrowth curves of double MC-38 tumor-bearing mice and double CT-26 tumor-bearing mice. (D) Representative flow cytometric plots showing PD-1 and TIM-3 expression in tumor infiltrating CD8+ T cells on days 3 and 12 after PTT. (E) CD8+ T cells infiltration of each group in the MC-38 TME on day 3 and day 12 after treatment were examined by immunofluorescence. (F) Kaplan-Meier survival curves and (G) distant tumor growth of tumor-bearing mice. Adapted with permission from 93, copyright 2020 Frontiers in Chemistry.
Figure 12(A) Schematic illustration of NIR (II) PTT combined with immunotherapy for cancer treatment. (B) Schematic showing controllable aggregation of AuNPs on fluidic liposomes. Local DOPC clusterings were shown in red color. AuNPs were absorbed on gel-phased liposomes when the temperature was below melting temperature and aggregated when the temperature was above melting temperature. (C) Schematic diagram of the in vivo CALR exposure at different depths inside the tumor under the NIR(I) or NIR(II) laser irradiation. (D) Percentage of CALR positive areas of dissected tumor tissues at different depths (0, 3, 6 and 9 mm). Data are shown as mean ± SD (n = 3) **p < 0.005, ***p < 0.001, ****p < 0.0001. (E) Immunohistochemical staining of CALR exposure in 4T1 tumors received 660, 808, and 1064 nm PTT. (F) Schematic showing the structure and therapeutics releasing process of erythrocyte membrane-camouflaged nanobullets. Adapted with permission from 96, 97, copyright 2020 and 2019 ACS Nano.