Abstract
Melanoma patients are at a high risk of developing brain metastases, which are strongly vascularized and therefore have a significant risk of spontaneous bleeding. VEGF not only plays a role in neo-angiogenesis but also in the antitumor immune response. VEGFR-targeted therapy might not only have an impact on the tumor vascularization but also on tumor-infiltrating immune cells. In this study, we investigated the effect of axitinib, a small molecule TKI of VEGFR-1, -2, and -3, on tumor growth and on the composition of tumor-infiltrating immune cells in subcutaneous and intracranial mouse melanoma models. In vivo treatment with axitinib induced a strong inhibition of tumor growth and significantly improved survival in both tumor models. Characterization of the immune cells within the spleen and tumor of tumor-bearing mice respectively showed a significant increase in the number of CD3+CD8+ T cells and CD11b+ cells of axitinib-treated mice. More specifically, we observed a significant increase of intratumoral monocytic myeloid-derived suppressor cells (moMDSCs; CD11b+Ly6ChighLy6G-). Interestingly, in vitro proliferation assays showed that moMDSCs isolated from spleen or tumor of axitinib-treated mice had a reduced suppressive capacity on a per cell basis as compared to those isolated from vehicle-treated mice. Moreover, MDSCs from axitinib-treated animals displayed the capacity to stimulate allogeneic T cells. Thus, treatment with axitinib induces differentiation of moMDSC toward an antigen-presenting phenotype. Based on these observations, we conclude that the impact of axitinib on tumor growth and survival is most likely not restricted to direct anti-angiogenic effects but also involves important effects on tumor immunity.
Keywords: angiogenesis, axitinib, brain metastasis, immune cells, MDSC, melanoma
Abbreviations: BLI, bioluminescent imaging; DCs, Dendritic Cells; FDA, US Food and Drug Administration; grMDSC, granulocytic MDSC, IFNγ: interferon gamma; IL-2, interleukin-2; MDSC, myeloid-derived suppressor cells; moMDSC, monocytic MDSC; OT-1, CD8+ T-cells with transgenic receptor specific for the H-2Kb-restricted ovalbumin (OVA) peptide SIINFEKL; PD-1, programmed death 1; PD-L1, programmed death 1 ligand; PFS, progression-free survival; TNFα, Tumor Necrosis Factor alfa; Treg, regulatory T cells; VEGF, Vascular Endothelial Growth Factor; TKI, Tyrosine Kinase Inhibitor
Introduction
Melanoma is a highly malignant tumor that is responsible for the majority of skin-cancer-related deaths.1 The most feared complication is its tendency to metastasize in an early stage, particularly to the central nervous system (CNS). The incidence of brain metastases in melanoma patients is 10–40% across published series. Recently, several new therapeutic modalities have emerged for the treatment of advanced melanoma. First, targeted therapies against the V600 BRAF-mutations (vemurafenib and dabrafenib) and the MEK-inhibitor trametinib increased the median progression free survival (PFS) to a similar extent and were approved by the US Food and Drug Administration (FDA).2-4 Second, immune checkpoint inhibitors have been developed to incapacitate tumor-mediated immune evasion. Ipilimumab, an anti-CTLA4 monoclonal antibody, was the first of these agents to prolong the overall survival in metastatic melanoma patients.5 Another checkpoint that is crucial in the tumor's immune escape is the programmed cell death-1 (PD-1) molecule. Several inhibitors against PD-1 or its ligand (PD-L1) have been developed and have been shown to induce durable tumor response rates of 10–15%. Despite clinal successes, checkpoint inhibitors do not induce specific antitumor immune responses. Therefore approaches, where T cells are activated to specifically target tumor cells should also be investigated. Thus, adoptive T-cell transfer can lead to complete remission in 40% of cases where other immunotherapies have failed.6 Another cell-based immunotherapy that is currently being investigated in our center is dendritic cell (DC) vaccination. An objective response rate of 26.7% was observed in a phase Ib clinical study performed at our institution.7
The main goal of the above-mentioned approaches is to increase the number of tumor antigen-specific cytotoxic T cells. Unfortunately, the presence of high numbers of these cytotoxic T cells as such is often not associated with clinical benefit and the impact of immunotherapy on overall survival generally remains modest.8,9 Therefore, other factors must contribute to the success or failure of immunotherapies. Recently, it has become clear that factors present in the tumor microenvironment play a crucial role in determining the balance between control and growth of a tumor. Thus, it has been shown that the abnormal tumor vasculature, induced by production of pro-angiogenic factors, maintains and fosters an immunosuppressive tumor microenvironment that enables the tumor to evade host immunosurveillance.10,11 The most important factor in the orchestration of tumor angiogenesis is Vascular Endothelial Growth Factor (VEGF). It has been shown that increased levels of VEGF in melanoma patients are associated with a poor overall survival.12 Furthermore, high serum levels of VEGF in patients treated with interleukin-2 or ipilimumab are correlated with a lack of clinical response.13,14
Proangiogenic factors suppress the function of immune cells at different levels, including inhibition of DC maturation, induction of an M2 phenotype in macrophages, inhibition of T-cell activation and recruitment of myeloid-derived suppressor cells (MDSCs).15-18 Anti-angiogenic treatment was shown to mature and normalize the structure of intratumoral blood vessels, to enhance the leukocyte-endothelial interaction, to increase the number of tumor-infiltrating leukocytes and to reduce the number of MDSCs within the tumor.19-21 Thus, blocking the VEGF signaling pathway has important effects on the tumor immune microenvironment and a thorough understanding of the immune-modulation by anti-angiogenic therapy is warranted.
An improved understanding of the molecular targets governing tumor angiogenesis has led to the development of a large number of small molecule drugs. Axitinib is a second-generation tyrosine kinase inhibitor (TKI) that blocks the phosphorylation of VEGFR-1, VEGFR-2, and VEGFR-3, as well as of platelet-derived growth factor receptor (PDGFR) and of c-kit/CD117.22 It was approved by the FDA for the treatment of renal cell carcinoma and in a phase II clinical trial in melanoma patients an objective response rate of 18.8% was observed.23 Taken together, these results justify the use of axitinib in the treatment of melanoma. In the current report, we describe the effects of axitinib on different immune cell populations in syngeneic subcutaneous and intracranial mouse melanoma models. We found that axitinib-treatment enhanced the number of CD8+ T cells in the spleen of tumor-bearing mice. Furthermore, it led to an increase of the number of tumor-infiltrating immune cells, both within the subcutaneous and intracranial mouse models, especially of CD11b+ cells. When we looked further into the phenotype of this CD11b+ cell population, we found a particular increase of monocytic MDSCs (CD11b+Ly6ChighLy6G- cells). When isolating these cells from the tumor, we found that their suppressive capacity was reduced and that they had acquired an antigen-presenting phenotype. To the best of our knowledge, this is the first time that an increase of the number of tumor-infiltrating immune cells as well as a shift from an immune suppressive phenotype to an antigen-presenting phenotype has been demonstrated after anti-angiogenic therapy both in a subcutaneous and in an intracranial mouse melanoma model.
Results
In vivo treatment with axitinib reduces tumor growth and increases survival in a subcutaneous and intracranial mouse model.
We first investigated the in vivo effects of axitinib on tumor growth and survival in subcutaneous and intracranial murine melanoma models. For this purpose, MO4 cells were subcutaneously inoculated in the flank of C57BL/6 mice and when tumors were palpable, axitinib-treatment was initiated. Mice were treated with axitinib (25 mg/kg) or with vehicle by oral gavage, bid, for 7 days. We observed a significant inhibition of tumor growth in axitinib-treated mice compared to the vehicle-treated group (p < 0.001; Fig. 1A), as well as a significantly prolonged survival of axitinib-treated mice compared to the vehicle group (p < 0.0001; Fig. 1B). Next, we investigated the antitumoral effect of axitinib in a syngeneic intracranial mouse melanoma model. MO4-FLuc cells were stereotactically inoculated in the right frontal lobe. Since it was previously shown that the tumor burden correlates with bioluminescence, treatment with axitinib (25 mg/kg, bid) was initiated when light emission was detected and tumor growth was further surveyed through in vivo bioluminescence.24 In line with results obtained for the subcutaneous model, axitinib significantly reduced intracranial tumor growth (p < 0.05; Figs. 1C and D). A significant increase in survival was also detected (p = 0.01; Fig. 1E). These results indicate that axitinib has potent antitumor effects both in a syngeneic subcutaneous and in an intracranial tumor model.
Axitinib inhibits endothelial proliferation and tube formation.
Axitinib is known to potently block the ligand-mediated phosphorylation of VEGFR-1, VEGFR-2, and VEGFR-3 at nanomolar concentrations.22 To determine relevant concentrations of axitinib for use in various in vitro assays, we added different concentrations of axitinib to HUVEC cultures and tested the metabolic activity as well as the tube forming capacity. In both assays, we found that axitinib inhibits the HUVEC cell proliferation and tube-forming capacity at a concentration of 1 μM (Fig. S1). We therefore considered this concentration as a relevant dose to be used in in vitro assays.
Axitinib does not induce apoptosis nor reduces the production of VEGF in murine melanoma cells in vitro
To investigate whether the in vivo antitumoral effect of axitinib is the result of a direct inhibition of tumor cell proliferation or induction of tumor cell death, we treated MO4 cells in vitro for 24 h, 48 h, and 72 h with different concentrations of axitinib (ranging from 10 nM to 100 nM). No induction of apoptosis was observed (Fig. S2A and B). Furthermore, we monitored the concentration of VEGF in the supernatant during the first 24 h of treatment and found that axitinib did not significantly change the VEGF secretion of MO4 cells (Fig. S2C).
In vitro treatment with axitinib does not affect the functionality of different immune cell populations
To investigate whether axitinib affects the functionality of immune cells, we added different concentrations of axitinib to T-cell and DC cultures. We and others have previously shown that axitinib does not significantly influence CD4+ and CD8+ T-cell proliferation or IFNγ secretion, in contrast, we found that sunitinib significantly impairs T-cell proliferation and function in vitro.25,26 Here, we further evaluated the effect of axitinib on DC-maturation. DCs were matured with LPS in the presence of different concentrations of axitinib and after 24 h we examined the expression of the maturation markers CD80 and CD86. We found no significant impact of axitinib on DC maturation (Fig. S3C). We furthermore examined the expression of different cytokines in the supernatants and found no significant differences (Fig. S3C). These results imply that axitinib has no negative effects on T cells or DCs and therefore could potentially be combined with immunotherapy.
In vivo treatment with axitinib increases the number of CD8+ T cells in the spleen
Since axitinib did not affect the proliferation and function of T cells and DCs in vitro, we investigated its effect on different immune cell populations in the spleen of tumor-bearing mice treated with axitinib (gating strategy, Fig. 2A). We found a significant increase in the total number of CD45+ cells (p = 0.0178; Fig. 2B) in the spleen of axitinib-treated mice as compared to vehicle-treated mice. Within the total leukocyte population, we mainly found increased numbers of CD3+ cells (T cells; p = 0.0185; Fig. 2C) and more specifically of CD8+ T cells (p = 0.0438; Fig. 2C). We also observed a minor increase in CD4+ T-cell numbers (trend; Fig. 2C), however the percentage of CD4+CD25+ cells (Tregs) within this CD4+ population remained unchanged (Fig. 2D). The myeloid cell populations were divided in CD11c+ cells (DCs) and CD11b+ cells. No differences were found in these populations between the axitinib and vehicle-treated mice (Figs. 2E and F ). Within the DC population we studied the expression of maturation markers CD80 and CD86. A significant increase in CD80 expression was observed on the CD11c+ cells of axitinib-treated mice (Fig. 2E). Within the CD11b+ population we further determined the different MDSC populations (moMDSC defined as Ly6ChighLy6G- and granulocytic MDSCs (grMDSC) defined as Ly6CintLy6G+). No differences in MDSC populations were found in the spleen between axitinib and vehicle-treated mice (Fig. 2F). In conclusion, we show that axitinib increases the number of CD4+ and CD8+ T cells in the spleen of tumor-bearing mice. This suggests that axitinib partially restores the number of peripheral CD4+ and CD8+ T cells, which are often reduced in tumor-bearing mice.
In vivo treatment with axitinib increases the number of tumor-infiltrating immune cells in a subcutaneous and intracranial tumor model
Since we found increased numbers of CD4+ and CD8+ T cells within the spleen of tumor-bearing mice upon axitinib treatment, we investigated its effects on the composition of the tumor-infiltrating immune cells. First, we screened subcutaneous and intracranial tumor samples for the infiltration of immune cells by general histochemistry. We found an equal infiltration of immune cells in the axitinib-treated mice as compared to the vehicle-treated mice. These infiltrates were mainly located between viable tumor tissue and necrotic regions. However, there were fewer mitoses present in the axitinib-treated mice as compared to the vehicle-treated mice. (Figs. 3A and B ). Next, we analyzed the different immune cells populations within the tumor by flow cytometry. Consistent with the results obtained in the spleen we observed a significant increase in CD45+ cells (p = 0.0137; Fig. 4A) in the subcutaneous tumors of axitinib-treated mice as compared to vehicle-treated mice. However, in contrast to the results obtained within the spleen, we did not find a significant increase either in total CD3+ cells or in CD4+ or CD8+ T cells subpopulations (Fig. 4B). Within the CD45+ cell population we found a significant increase in CD11b+ cells. When we studied the MDSC subpopulations we found a significant increase in Ly6ChighLy6G- cells (moMDSCs, p = 0.0027; Fig. 4E). No differences in DC numbers or in their expression of maturation markers were found (Fig. 4D). Next, we studied these different immune cell populations within intracranial tumors. Similar to the subcutaneous model, we found a trend toward an increase in CD45+ cells numbers, but this was not statistically significant (Fig. 4F). A significant increase in CD11b+ cells (p = 0.033; Fig. 4J) was also observed within the intracranial tumors of axitinib-treated mice, which could be attributed to an increase in Ly6ChighLy6G- cells (trend; Fig. 4J). No differences were seen within the other cell populations (Figs. 4G and 4I ). Thus, axitinib increases the total number of immune cells within subcutaneous and intracranial tumors, which is mainly due to an increase of CD11b+ cells and more specifically of CD11b+ Ly6ChighLy6G- moMDSCs.
Axitinib increases the infiltration of CD45.2 OT-1 T cells within the tumor
To determine whether the increased number of tumor-infiltrating immune cells is due to increased influx of immune cells, we adoptively transferred CD45.2+ OT-1 CD8+ T cells in vehicle- or axitinib-treated CD45.1+ MO4 tumor-bearing mice after a lymphodepleting dose of cyclophosphamide. Five days after the OT-1 T cell transfer, mice were sacrificed and the number of CD45.2 expressing OT-1 T cells were analyzed within the tumor microenvironment. Axitinib significantly increased the infiltration of CD45.2+ cells within the subcutaneous tumor (p = 0.016; Fig. 3C) and a non-significant increase was seen in the intracranial tumor (Fig. 3D). From these results we can conclude that the increased number of immune cells is probably due to an enhanced infiltration of immune cells. Additionally, this also suggests that combining immunotherapy with axitinib could lead to superior antitumor effects through an increased T-cell infiltration within the tumors.
Axitinib reduces the suppressive capacity of CD11b+Ly6ChighLy6G- cells
CD11b+Ly6ChighLy6G- cells are considered as an immune suppressive cell type in tumor-bearing mice. In contrast to the grMDSC, these moMDSCs can still differentiate to mature DCs and macrophages in vitro.18,27 Since axitinib specifically increased this subpopulation of MDSCs, we investigated if it exerts an effect on the functionality of these CD11b+Ly6ChighLy6G- cells. Therefore, we co-cultured splenocytes derived from naive animals with CD11b+Ly6ChighLy6G- cells or CD11b+Ly6CintLy6G+ cells sorted from spleens of axitinib-treated MO4 tumor-bearing mice and analyzed their effect on the proliferation of CD4+ and CD8+ T cells, respectively (Fig. 5). While no difference in the suppressive capacity was found for the different ratios of CD11b+Ly6CintLy6G+ cells:T cells (Fig. 5B), we found a significant reduction of the suppressive capacity of CD11b+Ly6ChighLy6G- cells on CD4+ and CD8+ T cells at a 1:1 ratio (CD11b+Ly6ChighLy6G- cells:T cells) compared to CD11b+Ly6ChighLy6G- isolated from vehicle-treated mice (resp. p = 0.0128 and p = 0.0281; Fig. 5A). In contrast, when we looked at the cytokine secretion we did not observe significant differences between axitinib and vehicle-treated mice (Figs. 5C and D ).
In contrast to the spleen, we observed a marked increase in the number of these CD11b+Ly6ChighLy6G– cells in the tumor, both for the subcutaneous and the intracranial model. Therefore, we assessed the functionality of the CD11b+Ly6ChighLy6G- cells sorted from tumors of axitinib-treated mice as previously described. For the subcutaneous model, we observed a strong reduction in the suppressive capacity of the CD11b+Ly6ChighLy6G- cells on CD4+ and CD8+ T-cell proliferation at all ratios (1:4, 1:8, and 1:10 CD11b+Ly6ChighLy6G– cells:T cells; Fig. 6A) as compared to CD11b+Ly6ChighLy6G– cells isolated from vehicle-treated mice. When we examined the cytokine secretion we observed a slightly increased IFNγ and TNFα secretion in the axitinib-treated group as compared to the vehicle-treated group (trend; Fig. 6B).
When we isolated CD11b+Ly6ChighLy6G- cells from intracranial tumors for co-culture with splenocytes from naive mice, the effects of axitinib on the suppressive capacity of CD11b+Ly6ChighLy6G- cells were similar, but less pronounced than in the subcutaneous tumor (Fig. 6C), whereas the increase in IFNγ and TNFα secretion in the axitinib-treated group was more profound (Fig. 6D). In both the subcutaneous and the intracranial model, the axitinib-induced diminished suppressive capacity is more explicit on CD8+ T-cell proliferation. From these results we can conclude that axitinib interferes with the suppressive mechanism or the phenotype of CD11b+Ly6ChighLy6G- cells in tumor-bearing mice.
Axitinib induces differentiation of CD11b+Ly6ChighLy6G– cells to an antigen-presenting phenotype in a subcutaneous, but not in an intracranial tumor model
It has been shown that CD11b+Ly6ChighLy6G- cells have the capacity to further differentiate into mature DCs or macrophages in vitro. In addition, it has been shown that these cells can acquire an antigen-presenting capacity.18,28,29 In order to evaluate whether the increased numbers of CD11b+Ly6ChighLy6G- cells that we observed in the tumors of axitinib-treated mice acquired enhanced antigen-presenting capacity, we co-cultured CD11b+Ly6ChighLy6G- cells isolated from subcutaneous tumors of axitinib-treated C57BL/6 mice together with allogeneic CD8+ T cells isolated from the spleens of naive C3H mice. We observed a 2-fold increase in CD8+ T-cell proliferation when these were co-cultured at different ratios of CD11b+Ly6ChighLy6G- cells (1:20, 1:40 (p = 0.0254) and 1:80 (p = 0.0477), CD11b+Ly6ChighLy6G- cells: CD8+ T cells) from axitinib-treated mice as compared to vehicle-treated mice (Figs. 7A and B). When we looked at the cytokine secretion profile of these allogeneic T cells, we found an increase in IFNγ, TNFα, and IL-2 in the axitinib-treated groups for all ratios examined (Fig. 7C). Next, we investigated the antigen-presenting capacity of CD11b+Ly6ChighLy6G– cells sorted from intracranial tumors of vehicle- and axitinib-treated mice by culturing them together with allogeneic CD8+ T cells. In contrast to the subcutaneous tumor model, we did not observe any induction of T-cell proliferation (Fig. 7D) or cytokine secretion (the cytokine levels in the supernatants were below the detectable limit). So, axitinib promotes an antigen-presenting phenotype in CD11b+Ly6ChighLy6G- cells present in the subcutaneous tumor, but not in the intracranial tumor.
Discussion
We show that axitinib has the ability to inhibit tumor growth and prolong survival in subcutaneous and intracranial mouse melanoma models. Furthermore, we demonstrate that it has profound effects on the composition of the immune cell populations within the spleen and the tumor microenvironment, shifting from a suppressive environment to a more stimulatory one.
For their growth, malignant tumors employ different mechanisms to escape host immune surveillance. Abnormal tumor vasculature and immune suppressive cell populations are critical aspects of the tumor development.11,30,31 Within the tumor microenvironment, the relentless production of proangiogenic factors such as VEGF induces structural abnormalities that lead to insufficient blood flow and hyperpermeable vessels, resulting in hypoxia, acidity, and elevated interstitial fluid pressure. These abnormalities affect the infiltration, proliferation, and function of different immune cell populations within the tumor. Moreover, elevated levels of circulating VEGF suppress the maturation of DC precursors, promote the proliferation of Tregs and lead to expansion and accumulation of MDSCs. Therefore, the idea that anti-angiogenic therapy can facilitate antitumor immunity has emerged during the last few years. Several groups have shown that anti-VEGF therapy induces vessel normalization, creating an immune supportive environment and increasing immune cell infiltration.19-21,32
We therefore evaluated the ability of axitinib, a novel potent TKI against VEGFR-1, -2, and -3, to induce changes within the tumor-infiltrating immune cell populations in subcutaneous and intracranial mouse tumor models. We found that in vivo treatment with axitinib inhibited the growth of both subcutaneous and intracranial MO4 melanomas and significantly increased the overall survival within both tumor models. Since Rossler et al. found that axitinib reduces neuroblastoma cell proliferation in vitro, we next evaluated if axitinib had direct antitumoral effects against MO4 melanoma cells in vitro. Axitinib did not induce tumor cell death in vitro at the concentrations used.33 Since in vitro treatment with axitinib did not provoke apoptosis or cell death of MO4 melanoma cells, we hypothesized that the in vivo effects of axitinib on tumor growth and survival are a consequence of changes within the tumor microenvironment. It was already shown by Inai et al. that axitinib induces vascular changes, including loss of endothelial fenestrations and regression of tumor vessels.34 We therefore focused on its effect on the different immune cell populations. We found that axitinib significantly increased the number of T cells, especially the CD8+ T cells, within the spleen of tumor-bearing mice. This was also shown by Yuan et al. in a model for renal cell carcinoma.35 There was no significant change in the other cell populations. This finding is of particular interest since it has been shown that the percentages of CD8+ T cells and CD11b+Ly6ChighLy6G- cells are inversely related within the spleen of tumor-bearing mice and that CD11b+Ly6ChighLy6G- cells induce a tolerogenic state in CD8+ T cells.36 The increase in the CD8+ T cell population induced by axitinib could partially reverse the imbalance that exists within the spleen between CD8+ T cells and CD11b+Ly6ChighLy6G– cells. Since we additionally demonstrate that the suppressive capacity of these CD11b+Ly6ChighLy6G– cells is reduced after treatment with axitinib, we hypothesize that these changes could potentially lead to increased antigen-presentation and expansion of antigen-specific CD8+ T cells with induction of a higher number of tumor-specific CD8+ T cell memory subsets.37 This could additionally lead to a higher number of tumor-infiltrating lymphocytes, especially CD8+ T cells. However, when we examined the tumor-infiltrating immune cells, we did not find an increase in the total number of CD8+ T cells. In contrast, we found an increased number of CD11b+Ly6ChighLy6G– cells. When these cells were sorted from the subcutaneous tumor of axitinib-treated mice, their suppressive capacity on CD4+ and CD8+ T-cell proliferation was diminished compared to vehicle-treated animals. Further investigation of their function showed that axitinib induced an antigen-presenting phenotype within these CD11b+Ly6ChighLy6G– cells. Recently, Ma et al. showed that anthracycline-treated cancer cells skew the differentiation of tumor-infiltrating CD11b+Ly6ChighLy6G– cells toward an inflammatory DC-like phenotype. They also show that these cells are particularly important for chemotherapy-elicited immune surveillance and for the therapeutic anticancer immune response elicited by anthracyclines.28 Since axitinib does not directly induce tumor cell death, antigen-specific T-cell responses that have been initiated before treatment will not be rebooted due to immunogenic cell death. However, the induction of a DC-like phenotype in CD11b+Ly6ChighLy6G– cells could lead to new antigen-specific T-cell responses within the tumor microenvironment. So far, little is known about the tumor-infiltrating immune cells within melanoma brain metastases in mice, especially after anti-angiogenic therapy. Axitinib crosses the blood brain barrier (BBB) and accumulates in the brain parenchyma after oral treatment. Its accumulation can be increased through blockade of ABCB1 and ABCG2.38 We found that the composition of the tumor-infiltrating immune cells in the melanoma brain tumor was similar to that observed in the subcutaneous tumor model. Moreover, we found that axitinib induced similar changes in the composition of these infiltrating immune cell populations. It also induced a marked increase of CD11b+Ly6ChighLy6G– cells within the intracranial tumor microenvironment. When these cells were sorted from the intracranial tumors of axitinib-treated mice, their suppressive capacity was also reduced compared to vehicle-treated mice. As observed for the subcutaneous model, we found that the effect was more evident on CD8+ T cells than on CD4+ T cells. However, when we investigated the antigen-presenting function of these cells, we did not find an induction of a DC-like phenotype in the intracranial tumor-infiltrating CD11b+Ly6ChighLy6G– cells. This is the first time that the phenotype and the function of CD11b+Ly6ChighLy6G- cells have been investigated within an intracranial mouse melanoma model. A possible hypothesis for the discrepancy in the intracranial model between the reduced suppressive capacity of the CD11b+Ly6ChighLy6G– cells without the induction of an antigen-presenting phenotype could be the physiological constitution of the brain parenchyma. The CNS has always been described as immunologically distinct because of several structural differences with other tissues: the presence of the BBB, the absence of lymphatic structures, the paucity of professional antigen-presenting cells, low levels of Major Histocompatibility Complex (MHC) molecule expression, and constitutive expression of immunosuppressive cytokines, such as IL-10 and TGFβ, produced by a variety of cell types, including microglia and astrocytes. These cells are also present within the tumor and their production of inhibitory cytokines attributes to a more suppressive environment as compared to the one within subcutaneous tumors. Thus, the effects of axitinib on the tumor microenvironment and on the CD11b+Ly6ChighLy6G– cells could be reduced within the brain.39
The role and function of CD11b+Ly6ChighLy6G– cells have been investigated more extensively in the context of experimental autoimmune encephalomyelitis (EAE). However, in this specific setting of inflammation, conflicting data concerning the function of these cells was published. On the one hand, it was shown by Zhu et al. that CD11b+Ly6ChighLy6G– cells present during EAE suppress CD4+ and CD8+ T-cell proliferation and cytokine production and induce CD4+ T-cell apoptosis via an iNOS/arginase 1 dependent pathway.40 On the other hand, King et al. demonstrated that circulating CD11b+Ly6ChighLy6G– cells migrate to the CNS during EAE and upregulate CD11c and MHC class II in situ. In this model for EAE, the CD11b+Ly6ChighLy6G– cells accumulate in the blood and CNS during the preclinical phase of the disease and it was only during the symptomatic phase (15 d after disease induction through immunization) that these CD11b+Ly6ChighLy6G– cells upregulated CD11c and MHC class II.41 Considering these findings, another possible explanation for the discrepancy found in the function of CD11b+Ly6ChighLy6G– cells in the intracranial model could be the length of the tumor-bearing status. The median overall survival of intracranial tumor-bearing mice is considerably shorter than the subcutaneous tumor-bearing mice (19 d vs. 30 d, respectively). Thus, we could assume that the CD11b+Ly6ChighLy6G– cells present in the tumor microenvironment of our intracranial tumor did not acquire a fully antigen-presenting phenotype at the time of analysis. The length of the tumor-bearing state in the intracranial mouse model could be prolonged through adaptation of the setup of the model (implantation of fewer cells in the brain, injection of tumor cells in the carotid artery or intracardiacally). We suppose that this discrepancy is caused by a combination of factors, further investigation of the effect of axitinib on these cells in an intracranial model is therefore necessary.
In addition to the effect of axitinib on the CD11b+Ly6ChighLy6G– cells, we also demonstrate that axitinib increases the infiltration of OT-1 T cells within the tumor. Together with the increase of CD8+ T cells in the spleen, we could hypothesize that the combination of immunotherapy and axitinib would boost the antigen-specific immune response. This is supported by a recent study showing that axitinib combined with a peptide-based vaccine was superior in terms of antitumor efficacy compared to that of either single component in a subcutaneous melanoma model.42 With our study, we provide more information about the possible mechanism of action of the synergistic effect of axitinib on immune therapy.
In summary, our data provide preclinical evidence that axitinib can reprogram the immune suppressive environment toward a more immune supportive environment. This finding suggests that the antitumoral effect of the current immunotherapies (ipilimumab, nivolumab, adoptive T cell therapy, DC-vaccination) used in the treatment of metastatic melanoma, could be enhanced by combination with axitinib.
Material and Methods
Tumor cell lines
The mouse melanoma cell line MO4 (kindly provided by K. Rock, University of Massachusetts Medical Center) was cultured in Roswell Park Memorial Institute (RPMI)-1640 medium (Sigma) supplemented with 5% fetal clone I (FCI), 100 U/mL penicillin, 100 μg/mL streptomycin, 2 mM L-glutamine, 1 mM sodium pyruvate and non-essential amino acids. To allow in vivo bioluminescence imaging (BLI) of intracranial tumors, MO4 cells were transduced with a lentiviral construct encoding both tNGFR and FLuc (pHR trip CMV luc2-Ires-tNGFR SIN, described in ref. 43).43 Stable and highly FLuc positive MO4 cells were subsequently enriched via flow cytometry using the expression levels of the tNGFR protein as a reference. We refer to the stable luciferase-expressing cell line used as MO4-FLuc. The growth rate of MO4-FLuc cells was similar to that of the parental line. No full authentication of the cell lines was carried out. Cell lines were tested for their known characteristics including expression of antigens and MHC molecules by reverse transcriptase PCR or flow cytometry and their in vitro and in vivo growth characteristics were closely monitored.
Mice and tumor models
Female and male, 6- to 12-week-old C57BL/6 (CD45.2 congenic) and C3H mice were purchased from Charles River (L’arbresle Cedex, France). OT-1 mice that carry a transgenic CD8+ T-cell receptor specific for the H-2Kb-restricted ovalbumin (OVA) peptide SIINFEKL were initially purchased from Charles River (L’arbresle Cedex) and sequentially bred in house. CD45.1 congenic C57BL/6 mice were kindly provided by J. Van Ginderachter (VUB). All animals were bred, housed and handled according to the European guidelines for animal experimentation. All experiments were reviewed and approved by the ethical committee for use of laboratory animals of the Vrije Universiteit Brussel. For the induction of subcutaneous tumors, mice were anesthetized by inhalation of isoflurane (Abbvie) and inoculated with 5 × 105 MO4 tumor cells administered by subcutaneous injection in the lower back. For the induction of intracranial tumors, mice were anesthetized through intraperitoneal injection of ketamine (70 mg/kg; Ceva) and xylazine (10 mg/kg; Bayer) and 1 × 104 MO4 cells or MO4 FLuc cells were stereotactically implanted into the brain (1 mm anterior to the bregma and 2 mm to the right of the midline suture at a depth of 2.5 mm).
Preparation of axitinib and semaxanib
Axitinib was kindly provided by Mike Sullivan from Pfizer. Semaxanib (SU5416) was purchased from Selleckchem (cat.no. S2845). For in vitro experiments all drugs were dissolved in 100% DMSO. Axitinib was stored at a final stock concentration of 5 mg/mL at –20°C. Semaxanib was stored at a final stock concentration of 10 mM at –20°C. For in vivo experiments axitinib was formulated in sterile water supplemented with 0.5% hydroxy-propyl-methylcellulose (Sigma, cat. no. M7140) and 0.1% Tween-80 (Sigma, cat. no. P1754).
Treatment of tumor-bearing mice with axitinib
For the subcutaneous tumor model, mice were randomly divided into a control group and a treatment group. When tumors reached a volume of approximately 100 mm3, mice were dosed orally with vehicle or axitinib (25 mg/kg), respectively. Mice were treated by oral gavage, bid (bis in die), for a period of 7 d. Tumors were measured every 2 d and tumor volume was calculated using the following formula: Mice were sacrificed when tumors reached a volume of 2,500 mm3. For the intracranial tumor model, 7 d after tumor inoculation, mice were randomly divided into a control group and a treatment group and were subsequently dosed orally with vehicle or axitinib (25 mg/kg), respectively. Mice were treated by oral gavage, bid, over a period of 7 d. Tumor growth was measured by means of bioluminescence. Mice were monitored and sacrificed when they displayed established signs of distress or discomfort, including development of cachexia (as defined by a loss of 20% of original body weight), limb paresis, or paralysis and the inability to move and reach for the food source.
Preparation of a single cell suspension from spleen and tumor of tumor-bearing mice
For some experiments, tumor-bearing mice were sacrificed on the last day of treatment with axitinib or vehicle and spleens and tumors were isolated. Single-cell suspensions prepared from splenocytes were treated with Tris-buffered ammonium chloride (RBC lysis buffer) for 5 min to remove red blood cells. Single-cell suspensions from tumor tissue were prepared using the GentleMACS single cell isolation protocol (Miltenyi Biotec). Briefly, tumors were isolated and minced into small pieces followed by a mechanical dissociation step using the GentleMACS dissociator. Samples were then incubated for 40 min at 37°C with the following enzymes: collagenase I (10,000 U/mL; Sigma, cat. no. C0130) and dispase II (32 mg/mL; Roche, cat. no. 04942078001). After a last mechanical disruption step, the digested tumor tissue was harvested, filtered (over a 70 μM nylon filter, BD Falcon) and red blood cells were lysed by adding RBC lysis buffer.
MTT-cell proliferation assay
Human Umbilical Vein Endothelial Cells (HUVECs, cultured in EBM2-medium) were seeded in 96-well plates at densities from 5,000 cells/well to 20,000 cells per well. Axitinib was added at concentrations from 0.1 nM to 100 μM. Proliferation was assessed using an MTT assay according to the manufacturer's instructions (Vybrant® MTT-cell proliferation Assay Kit, Life Technologies, cat. no. V13154).
Tube forming assay
A 24-well plate was coated with 300 μL Matrigel (BD Biosciences, cat. no. 356234) and allowed to congeal by incubating at 37°C for 30 min. HUVECs were seeded into the Matrigel-coated wells at a density of 50,000 cells per well. Semaxanib was added at a concentration of 5 μM as positive control. Axitinib was added to each well at a concentration of 1μM. After addition of the different products, the 24-well plates were incubated for 20 h at 37°C. Statistics on tube branch lengths, and number of branching points per region of interest were obtained. Pictures were taken using a Leica DMI6000B microscope (Leica Microsystem).
In vitro apoptosis assay and tumor cell proliferation assay
MO4 cells were seeded overnight in 6-well plates (0.5 × 106 cells per well) to allow cell adhesion. Cells were subsequently treated with different concentrations of axitinib (10 nM, 50 nM, and 100 nM) and 48 h later, the percentage of apoptotic cells was determined by staining with Annexin-V labeled with Alexa Fluor 647 (AF647, BioLegend, cat. no. 640911) and 7-AAD (BD Biosciences, cat. no. 555816). To assess the effect of axitinib on proliferation MO4 cells were labeled with 0.5 μM CellTraceTM Violet (Invitrogen, cat. no. C34557) and seeded overnight in 6-well plates (0.25 × 106 cells per well) to allow cell adhesion. Cells were subsequently treated with different concentrations of axitinib (10 nM, 50 nM, and 100 nM). Proliferation of MO4 cells was determined 48 h later through Flow Cytometry.
Dendritic cell (DC) maturation
Bone marrow-derived DCs were generated as previously described.44 DCs were cultured in RPMI-1640 medium supplemented with 5% FCI (Thermo Fisher Scientific, cat. no. SH30080.30), 50 mmol/L β-mercaptoethanol (Sigma, cat. no. M6250), and 20 ng/mL mouse granulocyte macrophage colony-stimulating factor (GM-CSF; prepared in-house) in a 48-well plate at a cell density of 1 × 106 cells per well and matured in the presence of 1 ng/mL LPS from Escherichia coli serotype 055:B5 (Sigma, cat. no. L2880). After 24 h, the expression of maturation markers (CD80 and CD86) was determined by staining with fluorescein isothiocyanate (FITC)-conjugated anti-mouse CD86 (BD Biosciences, cat. no. 555018), biotin-conjugated anti-mouse CD80 (BD Biosciences, cat. no. 554467) with streptavidin-allophycocyanin (APC)-H7 antibody (BD Biosciences, cat. no. 554063).
In vivo bioluminescence assay
In vivo BLI was performed on intracranial tumor-bearing mice to follow tumor growth. Mice were imaged every 3 d. Before and during imaging, mice were anesthetized with isoflurane (2%). Prior to imaging, 100 μL of 30 mg/mL luciferase substrate, D-Luciferin (Promega, cat. no. E1601), in 0.9% NaCl (Braun, cat. no. 3570310) was injected intravenously. Mice were shaved over the intracranial injection site of tumor cells to minimize the amount of light absorbed by the black fur. A cooled charge coupled device camera apparatus (Photon Imager; Biospace, France) was used to detect photon emission from tumor-bearing mice with an acquisition time of 5 min. Analysis was performed as previously described.45
Phenotypical characterization of immune cells
In order to evaluate the phenotype of different immune cell populations, cells derived from the spleen or tumor of vehicle- or axitinib-treated mice were stained with the following antibodies: phycoerythrin (PE)-Cy7-conjugated anti-mouse CD3 (BioLegend, cat. no. 100320), Alexa Fluor 700 (AF700)-conjugated anti-mouse CD4 (BD Biosciences, cat. no. 557956), AF647-conjugated anti-mouse CD8 (BioLegend, cat. no. 100724), Horizon V450-conjugated anti-mouse CD45 (BD Biosciences, cat. no. 560501), peridinin chlorophyll protein (PerCP)-Cy5.5-conjugated anti-mouse CD4 (BD Biosciences, cat. no. 550954), PE-conjugated anti-mouse CD25 (eBioscience, cat. no. 12-0251–81), AF700-conjugated anti-mouse CD127 (eBioscience, cat. no. 56-1271-82), AF647-conjugated anti-mouse CD11c (BioLegend, cat. no. 117312), PE-conjugated anti-mouse CD11b (BD Biosciences, cat. no. 557397), fluorescein isothiocyanate (FITC)-conjugated anti-mouse CD86 (BD Biosciences, cat. no. 555018), biotin-conjugated anti-mouse CD80 (BD Biosciences, cat. no. 554467) with streptavidin-allophycocyanin (APC)-H7 antibody (BD Biosciences, cat. no. 554063), FITC-conjugated anti-mouse CD11b (BD Biosciences, cat. no. 557396), AF647-conjugated anti-mouse Ly6G (BioLegend, cat. no. 127610) and PECy7-conjugated anti-mouse Ly6C (BioLegend, cat. no. 128018).
Adoptive OT-1 T-cell transfer and flow cytometric analysis of tumor-infiltrating OT-1 CD45.2 cells
CD45.1 mice were inoculated subcutaneously or intracranially with MO4 cells as previously described. When tumors reached a volume of approximately 100 mm3 (subcutaneous model) or 7 d after tumor inoculation (intracranial model), mice were treated with a lymphodepleting dose of cyclophosphamide (2 mg diluted in 100μL of PBS per mouse, ip)(Baxter) and then dosed orally with vehicle or axitinib (25 mg/kg), respectively. Mice were treated by oral gavage, bid, for a period of 7 d. Two days after the cyclophosphamide dose (or start of axitinib or vehicle) naive CD8+ T cells were purified from the spleens of CD45.2+ OT-1 TCR transgenic mice using MACS anti-CD8a Microbeads (Miltenyi Biotec, cat. no. 130-095-236) and were adoptively transferred (by IV injection) into the tumor-bearing CD45.1+ mice. Five days after adoptive cell transfer, mice were sacrificed and tumors were harvested and homogenized (as previously described). Single cell suspensions from tumors were analyzed by flow cytometry for the expression of CD45.2 using APC-eFluor780-conjugated anti-mouse CD45.2 (eBioscience, cat. no. 47-0454-80).
Purification of MDSCs from spleen and tumor
To study the function of splenic MDSCs the CD11b+ fraction was enriched by MACS sorting using CD11b+ Microbeads (Miltenyi Biotec, cat. no. 130-049-601) and to assess the function of tumor-infiltrating MDSCs the CD45+ fraction was enriched by MACS sorting using CD45+ MicroBeads (Miltenyi Biotec, cat. no. 130-052-301). These enriched CD11b+ cells (spleen) or CD45+ cells (tumor) were then stained with FITC-conjugated anti-CD11b (BD Biosciences cat. no. 557397), APC-labeled anti-Ly6G (BioLegend, cat. no. 127610) and PE-Cy7-conjugated anti-Ly6C (BioLegend, cat. no. 128018). Subsets of MDSCs were sorted to a purity of >90% using a BD FACSAria III cell sorter (BD Biosciences).
Suppression assay
The suppressive activity of MDSCs was determined using standard proliferation assays as described before.46 In brief, splenocytes were isolated from naive mice, labeled with 0.5 μM CellTraceTM Violet (Invitrogen, cat. no. C34557) and seeded in 96-well plates at 2x105 cells per well. Purified MDSCs were then added at different ratios, ranging from 1:1 to 1:10 (MDSC:splenocytes). T-cell proliferation was induced by Dynabeads® Mouse T-activator CD3/CD28 beads (Invitrogen, cat. no. 11452D). After 3 d, proliferation of CD4+ and CD8+ T cells was analyzed by flow cytometry by staining with PerCPCy5.5-conjugated anti-mouse CD3 (BioLegend, cat. no. 100327), AF700-conjugated anti-mouse CD4 (BD Biosciences, cat. no. 557956) and APCH7-conjugated anti-mouse CD8 (BD Biosciences, cat.no. 560182) antibodies. The percentage of T-cell suppression was calculated using the following formula:
In addition, supernatants collected 3 d after co-culture were subjected to enzyme-linked immunosorbent assay (ELISA) to quantify cytokine secretion (eBioscience).
Allogeneic mixed lymphocyte reaction
Spleen-derived (C3H) CD8+ T cells were enriched by MACS sorting using CD8 MicroBeads (Miltenyi Biotec, cat. no. 130-095-236), were subsequently labeled with 0.5 μM CellTraceTM Violet (Invitrogen, cat. no. C34557) and seeded in 96-well plates at 2 × 105 cells per well. Purified allogeneic monocytic MDSCs (sorted from tumors of C57BL/6 mice) were then added at different ratios, ranging from 1:20 to 1:80 (MDSC:splenocytes). After 3 d, proliferation of CD8+ T cells (C3H) was analyzed by flow cytometry by staining with PerCPCy5.5-conjugated anti-mouse CD3 (BioLegend, cat. no. 100327), AF700-conjugated anti-mouse CD4 (BD Biosciences, cat. no. 557956) and APC-H7-conjugated anti-mouse CD8 (BD Biosciences, cat.no. 560182) antibodies. In addition, supernatants were collected 3 d after co-culture for determination of cytokine secretion by ELISA (see below).
Flow cytometry
Data were collected on an LSR Fortessa flow cytometer (BD Biosciences) and analyzed with FACSDiva (BD Biosciences) software.
Histochemistry
For histological examination, mice were sacrificed by cervical dislocation at day 7 of axitinib treatment (25 mg/kg, bid), subcutaneous and intracranial tumors were immediately prelevated for formalin fixation and paraffin embedding. Standard hematoxylin-eosine staining was performed. Pictures were taken on a Leica DMI6000B microscope (Leica Microsystem).
ELISA
The concentration of interferon-gamma (IFNγ) (eBioscience, cat. no. 88-7314), tumor-necrosis factor-α (TNFα) (eBioscience, cat. no. 88-7324), interleukin-2 (IL-2) (eBioscience, cat. no. 88-7024), interleukin-4 (IL-4) (eBioscience, cat. no. 88-7044), interleukin-6 (IL-6) (eBioscience, cat. no. 88-7064), interleukin-10 (IL-10) (eBioscience, cat. no. 88-7105), interleukin-12 (IL-12) (eBioscience, cat. no. 88-7121), interleukin-23 (IL-23) (eBioscience, cat. no. 88-7230) and VEGF (R&D systems, cat. no. DY493) in culture supernatants was quantified using commercially available ELISA kits according to the manufacturer's instructions. The optical density was measured at 450 nm using a Thermomax microplate reader.
Statistical analysis
Results are presented as mean ± SEM. For the comparison of two groups, Student's t-test was performed. Sample size and number of repetitions for each experiment are indicated in the figure legends. For tumor growth, a two-way ANOVA followed by the Bonferroni multiple comparison test was conducted. Sample Survival was visualized in a Kaplan-Meier curve and analyzed by the log-rank test. All statistical analyses were performed using GraphPad Prism 5.
Acknowledgment
The authors thank Angelo Willems for expert assistance with the cell sorting.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Funding
SKM and SDF are funded by a PhD grant from the Agency for Innovation by Science and Technology in Flanders (IWT). This work is supported by a grant from the FWO (G023411N) to KT and JLA. The FACS AriaIII cell sorter and the LSR Fortessa were purchased with support from the Hercules Foundation to KT and JLA (grant UABR/09/002) and the Stichting Tegen Kanker, respectively.
Supplemental Material
Supplemental data for this article can be accessed on the publisher's website.
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