| Literature DB >> 32340166 |
Emilia Licarete1,2, Valentin Florian Rauca1,3, Lavinia Luput1,3, Denise Drotar1, Ioana Stejerean1, Laura Patras1,3, Bogdan Dume1, Vlad Alexandru Toma1,4,5, Alina Porfire6, Claudia Gherman7, Alina Sesarman1,3, Manuela Banciu1,3.
Abstract
Regardless of recent progress, melanoma is very difficult to treat, mainly due to the drug resistance modulated by tumor cells as well as by the tumor microenvironment (TME). Among the immune cells recruited at the tumor site, tumor associated macrophages (TAMs) are the most abundant, promoting important tumorigenic processes: angiogenesis, inflammation and invasiveness. Furthermore, it has been shown that TAMs are involved in mediating the drug resistance of melanoma cells. Thus, in the present study, we used liposomal formulation of prednisolone disodium phosphate (LCL-PLP) to inhibit the protumor function of TAMs with the aim to sensitize the melanoma cells to the cytotoxic drug doxorubicin (DOX) to which human melanoma has intrinsic resistance. Consequently, we evaluated the in vivo effects of the concomitant administration of LCL-PLP and liposomal formulation of DOX (LCL-DOX) on B16.F10 melanoma growth and on the production of key molecular markers for tumor development. Our results demonstrated that the concomitant administration of LCL-PLP and LCL-DOX induced a strong inhibition of tumor growth, primarily by inhibiting TAMs-mediated angiogenesis as well as the tumor production of MMP-2 and AP-1. Moreover, our data suggested that the combined therapy also affected TME as the number of infiltrated macrophages in melanoma microenvironment was reduced significantly.Entities:
Keywords: angiogenesis; combined therapy; liposomes; melanoma; tumor associated macrophages
Year: 2020 PMID: 32340166 PMCID: PMC7215436 DOI: 10.3390/ijms21082968
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Effects of LCL-PLP + LCL-DOX on B16.F10 cell proliferation. B16.F10 mouse melanoma cells co-cultured with murine macrophages were incubated with solutions of different concentrations of DOX (ranging from 0.005–0.37 µM) encapsulated in LCL (LCL-DOX) in the presence as well as in the absence of 410 μM PLP as LCL-PLP for 48 h. LCL-DOX, LCL-DOX-treated cells; LCL-PLP + LCL-DOX, cells incubated with solutions of different concentrations of LCL-DOX and 410 μM LCL-PLP. Data are shown as mean ± SD of three measurements and represented as percentages of proliferation inhibition compared with the proliferation of control cells. (ns, not significant (p > 0.05); * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001).
Figure 2Effect of the LCL-PLP + LCL-DOX combined therapy on the B16.F10 melanoma growth in vivo. (A,C,E): for each experimental group, tumor volumes at day 15 after tumor cell inoculation were compared with the tumor volumes from control group measured at the same time point: (B,D,F): areas under the tumor growth curves (AUTC) until day 15. The results were expressed as mean ± SD of tumor volumes of five mice. ns—not significant (p > 0.05); * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001.
Figure 3Effects of LCL-PLP + LCL-DOX combined therapy on the production of angiogenic proteins in melanoma tumors. Results are presented either as % of reduction (-) of tumor protein levels ranging from 0% (white) to 100% (black) or as % of stimulation (+) of production of proteins ranging from 0% (white) to 100% (red) in tumors after different treatments compared to levels of the same proteins in untreated tumors.
Effects of the liposomal therapies on the intratumor production of angiogenic and inflammatory proteins.
| Angiogenic/Inflammatory Proteins | Percentage of Reduction (−)/Increase (+) in Intratumor Production of Proteins Involved in Tumor Angiogenesis/Inflammation Following Different Treatments Compared Their Levels in Control Tumors | ||
|---|---|---|---|
| LCL−PLP | LCL−DOX | LCL−PLP + LCL−DOX | |
| Granulocyte-colony stimulating factor (G-CSF) | −5.96 ± 4.03( | −27.52 ± 3.93(**) | −49.73 ± 2.68(****) |
| Granulocyte−macrophage-colony stimulating factor (GM-CSF) | −16.80 ± 12.03 ( | −42.57 ± 4.35 (****) | −73.93 ± 0.94(****) |
| Monocyte−colony stimulating factor (M-CSF) | −30.00 ± 23.88(**) | −42.54 ± 2.81 (****) | −65.54 ± 4.04(****) |
| Insulin growth factor II (IGF-II) | −8.15 ± 24.81( | −15.67 ± 2.14 ( | −70.12 ± 1.96 (***) |
| Interleukin 1α (IL-1α) | −15.52 ± 14.06( | −36.20 ± 0.74(****) | −55.02 ± 1.93(****) |
| Interleukin 1β (IL-1β) | −48.17 ± 14.25(****) | −35.07 ± 3.80(***) | −53.58 ± 1.16(****) |
| Interleukin 6 (IL-6) | −26.49 ± 4.67(**) | −39.77 ± 7.08(****) | −52.05 ± 6.81(****) |
| Interleukin 9 (IL-9) | −42.70 ± 3.83(****) | −10.81 ± 1.53( | −48.24 ± 5.69(****) |
| Interleukin 12 p40 (IL 12-p40) | −31.33 ± 0.35(***) | −63.90 ± 2.76(****) | −80.16 ± 0.07(****) |
| Interleukin 13 (IL-13) | +9.84 ± 5.91( | −28.10 ± 1.29(***) | −51.88 ± 4.43(****) |
| Tumor necrosis factor α (TNF-α) | −12.42 ± 33.15( | −64.83 ± 6.68(****) | −65.47 ± 0.00(****) |
| Monocyte chemoattractant protein-1 (MCP-1) | −32.62 ± 4.46(***) | −25.40 ± 5.37(*) | −69.89 ± 1.95(****) |
| Eotaxin | −64.09 ± 48.39(****) | −67.59 ± 1.33(****) | −58.79 ± 1.17(****) |
| Fas ligand (FasL) | −76.62 ± 17.48(****) | −57.25 ± 0.00(****) | −57.98 ± 5.15(****) |
| Basic fibroblast growth factor (bFGF) | −87.15 ± 4.06(****) | −25.44 ± 9.35(*) | −64.86 ± 0.60(****) |
| Vascular endothelial growth factor (VEGF) | +5.32 ± 63.80( | −64.91 ± 19.15(****) | −89.14 ± 12.10(****) |
| Leptin | −4.78 ± 6.36( | −40.51 ± 4.45(****) | −60.75 ± 15.09(****) |
| Thrombopoietin (TPO) | +19.46 ± 3.42( | −20.31 ± 13.03( | −78.09 ± 2.80(****) |
| Tissue inhibitor of matrix metalloproteinase 1 (TIMP-1) | −2.52 ± 10.78( | −52.59 ± 0.87(****) | +3.76 ± ( |
| Tissue inhibitor of matrix metalloproteinase 2 (TIMP-2) | −10.02 ± 10.57( | −42.47 ± 19.90(****) | −24.96 ± 21.18(*) |
| Platelet factor 4 (PF4) | −15.18 ± 2.11( | −57.68 ± 3.72(****) | −58.17 ± 8.63(****) |
| Interleukin 12 p70 (IL-12p70) | −10.02 ± 10.57( | −46.74 ± 1.08(****) | −63.45 ± 2.07(****) |
| Interferon γ (IFN-γ) | −4.69 ± 0.42( | −45.92 ± 4.58(****) | −57.69 ± 7.82(****) |
| Monokine induced by IFN-γ (MIG) | −15.82 ± 1.25( | −42.85 ± 33.18(****) | −26.30 ± 37.68(**) |
The results represent the mean ± SD of two independent measurements. LCL-PLP, percentages of reduction or increase in different protein production in tumors treated with 10 mg/kg LCL-PLP compared with their production in untreated tumors; LCL-DOX, percentages of reduction or increase in different protein production in tumors treated with 5 mg/kg LCL-DOX compared with their production in untreated tumors; LCL-PLP + LCL-DOX, percentages of reduction or increase in different protein production in tumors treated with 10 mg/kg LCL-PLP and 5 mg/kg LCL-DOX compared with their production in untreated tumors. p value was determined to evaluate statistical significance of the data and was calculated by Two-way ANOVA analysis with Bonferroni posttest (ns, not significant, p >0.05; * p < 0.05; ** p < 0.01*** p < 0.001, **** p < 0.0001).
Figure 4Evaluation of LCL-PLP + LCL-DOX effect on oxidative stress in tumor tissue. MDA amount was determined by HPLC analysis. The results are expressed as mean ± SD of two independent measurements. ns—not significant (p > 0.05); * p < 0.05; ** p < 0.01; *** p < 0.001.
Figure 5The effects of LCL-PLP + LCL-DOX on the activity of MMP-2 in tumor tissue. (A). Gelatin zymography gel; (B). Quantification of pro-MMP-2 bands in zymograms; (C). Quantification of active MMP-2 bands in zymograms; the results represent the mean of percentage MMP-2 activity of duplicate measurements ± SD. ns—not significant (p > 0.05); ** p < 0.01; *** p < 0.001; **** p < 0.0001.
Figure 6The production of HIF-1α and c-Jun proteins in tumor tissue after different treatments. (A). Western blot analysis of the HIF-1α and c-Jun production after different treatments. β-actin was used as loading control; (B). Percentages of the amount of HIF-1α protein in tumors; (C). Percentages of the amount of c-Jun protein in tumors; (D). Percentages of the amount of pc-Jun protein in tumors. The results are compared to the proteins levels in control lysates and expressed as mean ± SD of two independent measurements. ns—not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001.
Figure 7Immunohistochemical analysis of the effects of different treatments on B16.F10 murine melanoma microenvironment in vivo. (A) CD31 was used as a marker for proliferating endothelial cells; (B) F4/80 was used as a general marker for macrophages; (C) iNOS was used as a marker for M1 polarized macrophages. Positively stained cells appear in brown; Scale bar = 50 µm. The scores for immunoreaction intensities of tumor sections for each marker after different treatments were analyzed by using rank-based nonparametric Kruskall-Wallis test with Dunn’s test for multiple comparisons.
Figure 8Relative quantification of ARG-1 and IL-10 mRNA expression in tumor tissue following different treatments. mRNA was quantified by RT-qPCR and the results are expressed as fold change based on the Ct calculations. (A). relative fold change of ARG-1 mRNA; (B). relative fold change of IL-10 mRNA; ns—not significant (p > 0.05); * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001.
Primer sets used for RT-qPCR.
| Name of Genes | Forward Primer (5′-3′) | Reverse Primer(5′-3′) |
|---|---|---|
| Mouse β-actin | TCTTTGCAGCTCCTTCGTTGCCGGTCC | GTCCTTCTGACCCATTCCCACCATCACAC |
| Mouse Arg-1 | CTCCAAGCCAAAGTCCTTAGAG | AGGAGCTGTCATTAGGGACATC |
| Mouse IL-10 | GGTTGCCAAGCCTTATCGGA | ACCTGCTCCACTGCCTTGCT |