ABSTRACT
One way that tumors evade immune destruction is through tumor and stromal cell expression of arginine-degrading enzyme arginase-2 (ARG2). Here we describe the existence of pro-inflammatory effector T-cells that recognize ARG2 and can directly target tumor and tumor-infiltrating cells. Using a library of 34 peptides covering the entire ARG2 sequence, we examined reactivity toward these peptides in peripheral blood mononuclear cells from cancer patients and healthy individuals. Interferon-γ ELISPOT revealed frequent immune responses against several of the peptides, indicating that ARG2–specific self-reactive T-cells are natural components of the human T-cell repertoire. Based on this, the most immunogenic ARG2 protein region was further characterized. By identifying conditions in the microenvironment that induce ARG2 expression in myeloid cells, we showed that ARG2-specific CD4T-cells isolated and expanded from a peripheral pool from a prostate cancer patient could recognize target cells in an ARG2-dependent manner. In the ‘cold’ in vivo tumor model Lewis lung carcinoma, we found that activation of ARG2-specific T-cells by vaccination significantly inhibited tumor growth. Immune-modulatory vaccines targeting ARG2 thus are a candidate strategy for cancer immunotherapy.
KEYWORDS: Anti-Tregs, ARG2, immune modulation, T-win
Introduction
Although the immune system can detect and destroy transformed cells, most tumors evade this destruction through a wide range of escape mechanisms. The classical mechanisms include impairment of major histocompatibility complex (MHC)-mediated tumor antigen presentation and downregulation of the costimulatory molecules B7.1 Of importance, a growing body of evidence indicates that tumors can promote an immunosuppressive microenvironment by recruiting or generating immunoregulatory cells, such as regulatory T-cells (Tregs), tolerogenic myeloid populations (especially tumor-associated macrophages, TAMs), myeloid-derived suppressor cells (MDSCs), and cancer-associated fibroblasts (CAFs). Among the immunosuppressive mechanisms that tumors employ is production of anti-inflammatory mediators, such as transforming growth factor-β (TGF β) and interleukin (IL)-10, exploitation of inhibitory molecules of the B7 family, such as PD-L1, and expression of amino acid–degrading enzymes such as arginase and indoleamine 2,3-dioxygenase (IDO).
Arginase is a ubiquitous enzyme that catalyzes the degradation of L-arginine to L-ornithine and urea. There are two isoforms of arginase in mammals: arginase-1 (ARG1), a cytosolic enzyme predominantly present in the liver, and arginase-2 (ARG2), which is expressed in the mitochondrial matrix .2 By regulating the availability of L-arginine and L-ornithine, arginase is important in normal and cancer cells. Its expression in the tumor microenvironment dampens cancer-specific immune responses through local and systemic suppression of T-cell proliferation, inhibition of T-cell activation, promotion of T-cell anergy and apoptosis, and macrophage reprogramming that promotes immunosuppressive phenotypes.3–5
In general, most studies of arginase have focused on ARG1, whereas ARG2 has received less attention to its potential role in cancer. Although studies have linked high arginase activity with various cancers and serum arginase activity with disease progression, these studies did not discriminate between ARG1 and ARG2. One group did show in 2005 that ARG2 is highly expressed in human prostate cancer,4 and the enzyme was further described as suppressing tumor-infiltrating lymphocytes. Androgens enhance ARG2 expression, and androgen-depletion therapy that decreases ARG2 activity can boost immune responses by increasing T-cell activation and interferon (IFN)γ secretion in vivo.6 ARG2 also distinguishes malignant follicular thyroid carcinoma from benign follicular thyroid adenoma.7,8 Likewise, in head and neck squamous cell carcinomas, ARG2 expression has been correlated with a poor prognosis .9 Its expression in breast cancer cells has additionally been reported,10 and its levels are significantly higher in breast cancer tissue and peripheral blood compared to healthy donors.11 ARG2 activity is also described as being enhanced in gastric cancer when compared with healthy gastric tissue,12 and the enzyme is released in vitro by gastric cancer cell lines and in the serum of patients with gastric cancer.9,13 In addition to solid tumors, enhanced ARG2 expression has been described in acute myeloid leukemia (AML). Of interest, circulating AML blasts are phenotypically similar to MDSCs but express and release ARG2 (rather than ARG1) in peripheral blood, suppressing T-cell activity.14,15 These results collectively suggest that ARG2 is a promising target for boosting tumor-specific immune responses and addressing the general state of immunosuppression and pancytopenia seen with AML.
Recently, CAFs have emerged as abundant and crucial components of the tumor mesenchyme. CAFs are involved in modulation of immune system factors, with recently revealed roles in immune evasion and poor responses to cancer immunotherapy.16 Of interest, Ino et al. evaluated pancreatic ductal carcinoma tissues from 200 cases and detected ARG2 protein expression in CAFs, especially those located within and around necrotic areas of the tumor.9 The presence of ARG2-expressing CAFs correlated with poor overall and disease-free survival, emphasizing their key role in immune regulation of the tumor microenvironment. ARG2 also is involved in obesity-associated pancreatic cancer.11
Pro-inflammatory T-cells that specifically target immune-suppressive cells are intrinsically present in the periphery and counteract a range of regulatory immune-feedback signals (reviewed in17). These T-cells (coined anti-regulatory T-cells or anti-Tregs18 because of their role in targeting regulatory immune mechanisms) recognize human leukocyte antigen (HLA)-restricted epitopes, generated from degraded intracellular self-antigens derived from immune inhibitory proteins, such as ARG1.19–21 We previously described the existence of ARG1-specific T-cells and demonstrated that they recognize and react against dendritic cells (DCs) and B cells expressing ARG1,19 and that these preexisting T-cell responses against ARG1 are part of the T-cell memory repertoire.20 A phase I vaccination trial with ARG1 peptides was recently initiated at our institution (NCT03689192).22 In the current study, we examined if ARG2 likewise is a target for specific effector T-cells and if these cells can react toward cells expressing ARG2.
Results
Spontaneous immune responses toward ARG2
To determine whether antigens derived from ARG2 can be targeted by specific T-cells, we screened for ARG2 peptide epitopes that elicited an immune response in peripheral blood mononuclear cells (PBMCs) from healthy donors. For this purpose, we generated a library of 34 peptides covering the entire ARG2 protein sequence. All peptides were 20-mers, and each one overlapped with the first 10 amino acids of the subsequent sequence (supplementary table 1). We divided the peptides into 11 pools of 3–4 adjacent peptides (supplementary table 1) and used PBMCs from six healthy donors (HDs) to screen for immune responses to the library peptides. Briefly, PBMCs were stimulated once with each peptide pool before being examined in IFNγ ELISPOT assays with stimulation of each peptide individually. We observed immune responses toward several different ARG2 peptides with ARG2-1, ARG2-5, ARG2-8, ARG2-13, ARG2-18, ARG2-20, ARG2-21, and ARG2-22 showing the highest and most abundant responses (Figure 1a). We then validated the immune responses toward these eight peptides in IFNγ ELISPOT assays. PBMCs from the same HDs as above were stimulated with each peptide individually. In Figure 1b the immune responses against the peptides that are either covering the signal peptide region of ARG2 or the peptides located in the region corresponding to the most immunogenic region of the ARG1 sequence. Although we could detect immune responses in this region of ARG2, the most immunogenic peptide was ARG2-1(supplementary figure 1). Of interest, ARG2-1 is a part of the transit sequence (aa1–22) of ARG2. Signal peptide sequences represent an interesting type of epitopes that largely do not depend on proteasomal degradation or TAP (Transporter associated with antigen processing protein) for their processing and presentation in the context of HLA molecules.23–25 Furthermore, this part of ARG2 has very limited overlap with the corresponding sequence of ARG1 (Figure 1c).
We then used ARG2-1 to screen for ARG2 immune responses in samples from 33 HDs and 19 cancer patients with metastatic solid tumor (11 melanoma, 1 breast and 7 prostate cancer patients) by IFNγ ELISPOT assay. Samples from both groups showed strong and frequent responses (Figure 2a), with significant responses in around 75% of the screened donors. Because ARG2 is reported to play an important role in the immunosuppressive microenvironment observed in patients with AML,14,15 we used IFNγ ELISPOT to assess for the presence of ARG2-specific T-cells among PBMCs from nine patients diagnosed with AML. Blood collection and subsequent PBMC isolation were performed independently of treatment status, thus the patients represent very different disease and treatment stages. We observed a significant response in three of the nine patients (Figure 2a), suggesting that ARG2-specific T-cells indeed can be present in patients with AML. In supplementary table 2 the clinical characteristics of the included AML patients are depicted. Intracellular cytokine staining for IFNγ and tumor necrosis factor (TNF)α production in HDs and cancer patients with solid tumors primarily showed CD4+responses to ARG2-1 (Figure 2b).
Characterization of long ARG2 peptide epitopes
We have previously shown that a longer (38-mer) ARG1 peptide is superior at stimulating ARG1-specific T-cells compared to 20- and 30mer ARG1 peptides from the same region.20 Here we sought to identify an optimal, immunogenic ARG2-derived peptide that broadly stimulates ARG2-specific T-cells in subjects with different tissue types. For this purpose, we designed a longer ARG2 peptide epitope spanning larger parts of the sequence around ARG2-1, based on HLA prediction algorithms (available at www.syfpeithi.de and cbs.dtu.dk). To test whether these long ARG2 peptides (Figure 3a and supplementary table 1) could be used to identify ARG2 responses, PBMCs from six HDs were stimulated once with each of the three long peptides. Subsequently, PBMCs were used to screen for immune responses in IFNγ ELISPOT. As shown in Figure 3b, immune responses against all three long peptides were identified; however, the 33-mer A2L2 gave the strongest and most frequent immune responses of the three long peptides in the examined donors. Because ARG2-1 is contained within A2L2, we examined if this longer peptide more effectively stimulated ARG2-specific T-cells, using IFNγ ELISPOT assay of samples from six HDs, stimulated with either ARG2-1 or A2L2 once. In five of six donors, A2L2 immune responses were higher than ARG2-1 responses (Figure 3c), although not reaching significance (p = .06), suggesting that both peptides elicit frequent immune responses.
To characterize the immunogenicity of A2L2, we screened PBMCs from 30 HDs and 18 patients with cancer (14 melanoma, 3 prostate, 1 breast) by IFNγ ELISPOT assay. We observed strong and frequent responses in both HDs and patients with cancer (Figure 3d). Intracellular cytokine staining for IFNγ and TNFα production showed only CD4+ responses to A2L2 stimulation (Figure 3e), similar to our observations for ARG2-1. The immune responses toward A2L2 were on average higher compared to ARG2-1 responses in the same donor, although not significantly so (p = .7) (figure 3f).
Characterization of ARG2-specific T-cells
To further characterize the immune response toward ARG2, we generated an ARG2-specific CD4 + T-cell culture. To do so, we used ARG2-1 peptide–loaded autologous DCs to repeatedly stimulate PBMCs isolated from a patient with prostate cancer, followed by enrichment and rapid expansion of specific cells (supplementary figure 2a). The T-cell culture was highly specific toward both ARG2-1 and A2L2, based on intracellular cytokine staining for TNFα and IFNγ (ARG2-1, Figure 4a) and IFNγ ELISPOT results (Figure 4b). Furthermore, we found that IFNy production from the ARG2-specific T-cell culture stimulated with peptide were inhibited by the addition of HLA-DR blockers, but not HLA-DP or HLA-DQ blockers in IFNy ELISPOT (Figure 4c). To assess the specificity of the ARG2-specific T-cell culture we looked at the ability of the ARG2-specific T-cell culture to recognize and react against cells with intracellular expression of ARG2. To this end, we transfected autologous DCs with mRNA encoding ARG2 fused to the DC-LAMP signal sequence, which targets a protein toward the lysosomal compartment and thus directs the protein toward HLA class II presentation.26 We observed higher reactivity against ARG2 mRNA transfected DCs compared to mock transfected DCs (Figure 4d). FACS analysis of transfected cells showed >90% transfection efficiency (supplementary figure 2b) and mRNA analysis of mock and mRNA transfected DC showed a large increase in ARG2 expression 24hrs after transfection (supplementary figure 2c).
Having shown reactivity toward ARG2-producing immune cells we next set out to investigate the ability of the ARG2-specific T-cell culture to recognize and react against different cancer cells using IFNy ELISPOT assays. HLA sequencing analysis of the donor for the specific T-cell culture allowed us to choose three HLA-matched (HLA-DR01:01) AML cell lines with low endogenous ARG2 expression (OCI-AML2, THP-1 and MONO-MAC-1, supplementary figure 3) and pulse with ARG2-1 peptide to subsequently use as target T-cells for IFNy ELISPOT. Set2, another AML cell line with high endogenous ARG2 expression (supplementary figure 3) but HLA-mismatch with the ARG2-specific T-cell culture, was included as a negative control. OCI-AML2, THP-1 and MONO-MAC-1 pulsed with ARG2-1 peptide were effectively recognized by the ARG2-specific T-cells (Figure 5a), whereas Set2 was not. The HLA-DR restriction of the ARG2-specific T-cells was confirmed by the addition of two different HLA-DR specific antibodies, since addition of both HLA-DR blockers abrogated the recognition of ARG2-1 pulsed THP-1 cells (Figure 5b).
The THP-1 cell line is a monocytic cell line derived from peripheral blood of a patient with AML.27 THP-1 cells are reported to have maintained some plasticity, with their function depending on the presence of specific cytokines in their surroundings. IL-4 and IL-13 are reported to be the main inducers of ARG1,3 but their effect on ARG2 is not well known. Moreover, THP-1 cells are reported to acquire DC-like characteristics upon 48 hrs of stimulation with a cytokine cocktail of IL-4, GM-CSF, and TFNα.28 We therefore examined if stimulation of THP-1 cells with IL-4, IL-13, or the cytokine cocktail would increase ARG2 expression in THP-1 cells. We found a more than 2-fold induction of ARG2 expression upon stimulation with the cytokine cocktail, whereas IL-4 and IL-13 did not have much effect on ARG2 expression levels (Figure 5c). We then turned to investigate if the increase in ARG2 expression after cytokine cocktail stimulation could elicit an immune response from ARG2-specific T-cells. Indeed, we found that the cytokine cocktail led to recognition of the stimulated THP-1 cells in IFNy ELISPOT (Figure 5d) and production of TNFα and IFNy detected by intracellular cytokine staining (Figure 5e). Only ARG2 expression increased after treatment of the THP-1 cells with the cytokines, whereas ARG1 expression remained unchanged (figure 5f). The response toward cytokine stimulated THP-1 cells could be blocked by HLA-DR specific antibodies (Figure 5g). Of note, the cytokine cocktail-stimulated THP-1 cells changed morphology compared to unstimulated cells with more colony-formation, small protrusions, and an acquired adherence (supplementary figure 4a). Importantly, the cytokine cocktail did not upregulate HLA-DR expression (supplementary figure 5a). In contrast, treatment of THP-1 cells with IFNy increased HLA-DR expression on the cell surface (supplementary figure 5a), but not ARG2 expression (Figure 5h), and IFNy stimulated THP-1 cells were not recognized by ARG2-specific T-cells in IFNy ELISPOT assay (Figure 5i).
MONO-MAC-1 is an AML cell line that, like THP-1 cells, can differentiate in response to or be affected by cytokine stimulation.29 Similar to our observations for THP-1 cells, the cytokine cocktail could increase ARG2 expression in MONO-MAC-1 cells (Figure 6a). Stimulation of MONO-MAC-1 cells with the cytokine cocktail did not increase HLA-DR expression compared to unstimulated cells (supplementary Figure 5b). Furthermore, MONO-MAC-1 cells stimulated with IFNγ did not upregulate ARG2 expression (Figure 6b), and only cytokine cocktail-treated MONO-MAC-1 cells were recognized by the ARG2-specific T-cells in the IFNγ ELISPOT (Figure 6c). MONO-MAC-1 stimulated with the cytokine cocktail also changed morphology in ways similar to our observations with THP-1 cells (supplementary figure 4b).
To further test the notion of ARG2 expression–dependent T-cell recognition, we transfected THP-1 cells with ARG2 mRNA using the ARG2-DC-LAMP construct. The DC-LAMP sequence is reported to be specific for mature DCs, 26 but THP-1 cells can be differentiated into DC-like cells, so the construct can be applicable for transfection of THP-1 cells. We observed that the ARG2-specific T-cell culture reacted toward THP-1 cells transfected with ARG2-DC-LAMP mRNA (Figure 7a). The reactivity was significantly higher toward cells transfected with ARG2-DC-LAMP mRNA compared to those only mock-transfected (Figure 7a), emphasizing the specificity of the ARG2-specific T-cells. Furthermore, with 48 hours of cytokine cocktail stimulation before transfection, the immune response increased compared to cells that were only mRNA-transfected or only cytokine-cocktail-stimulated (Figure 7a). Intracellular cytokine staining for TNFα and IFNγ production showed a similar trend (Figure 7b). We assessed the electroporation efficiency at 24 hours post transfection by FACS analysis of green fluorescent protein (GFP)-expressing cells and showed efficient transfection (>99% GFP+ cells) (supplementary figure 6a). In line with this, we observed a large fold increase in ARG2 and ARG1 expression compared to mock-transfected cells at 24 hours post transfection with ARG2-DC-LAMP mRNA or ARG1-DC-LAMP mRNA, respectively (supplementary figure 6b and 6 c). ARG2 expression levels in mRNA-transfected THP-1 cells were high compared to endogenous ARG2 expression levels in Set2 cells (supplementary figure 6d).
Next, we used small-interfering (si)RNA-mediated knockdown of ARG2 to further confirm that T-cell recognition and activation was dependent on ARG2 expression. Transfection of THP-1 cells with a pool of three ARG2-specific siRNAs led to efficient ARG2 knockdown (Figure 7c). We assessed TNFα and IFNγ production by intracellular cytokine staining at 48 hours after transfection with siRNAs and cytokine-cocktail stimulation. Both TNFα and IFNγ production decreased from ARG2-specific T-cells reacting toward siRNA+cytokine cells compared to mock+cytokine cells, even if production was not completely abrogated (Figure 7d). RT-qPCR of ARG2 expression in the cells also showed ARG2 knockdown in siRNA+cytokine cells, but ARG2 expression levels were slightly higher than the levels obtained with only siRNA knockdown (Figure 7e).
ARG2 vaccination in vivo
To examine a potential functional effect of ARG2-specific T-cells in vivo, we went on to identify relevant murine ARG2 peptide epitopes. We screened the murine ARG2 protein sequence for possible MHC binding peptide epitopes using the SYFPEITHI and NetMHC epitope prediction algorithms (available at www.syfpeithi.de and cbs.dtu.dk, respectively). Six high scoring peptide epitopes spread across ARG2 protein (supplementary table 3) were selected for evaluation. To this end, we screened for immune responses in C57BL/6 mice by s.c. vaccination of mice in a peptide-montanide emulsion. Three mice per group were vaccinated with each of the 6 candidate peptides, and 7 days later mice were sacrificed, spleens were retrieved, and PBMCs were isolated and analyzed in an ex vivo mIFNy ELISPOT assay. We observed strong immune responses in all 3 mice vaccinated with mARG2(188–197) (denoted P4) (Figure 8a). This was subsequently confirmed in a similar experiment with a larger number of mice per group (Figure 8b).
To identify the most relevant tumor model for evaluating the therapeutic effect of ARG2 vaccination, we evaluated ARG2 expression in a panel of different engrafted tumors of C57BL/6 origin. Of the six tumor cells examined, Lewis lung carcinoma (LL/2) tumor cells were found to express consistently high levels of ARG2 (Figure 8c) and were therefore chosen for evaluation of ARG2 vaccination in vivo. Challenge of C57BL/6 mice with LL/2 tumor cells followed by ARG2 (P4) vaccination on day 0 and day 7 (Figure 8d) was found to cause a significant tumor growth delay compared to untreated control mice (Figure 8e). At all evaluated time points, the tumors from ARG2 vaccinated mice were significantly smaller than the tumors from the untreated control mice (figure 8f). Mice were sacrificed at day 10 after tumor inoculation due to tumor ulceration. To confirm that the observed tumor growth delay was attributed to the effect of vaccine-primed ARG2-specific T cells and not merely due to unspecific immune activation from the adjuvant, we decided to compare the LL/2 tumor growth of ARG2 (P4) vaccinated to control vaccinated mice. As previously described, mice were challenged with LL/2 tumor cells and vaccinated with ARG2 (P4) peptide on day 0 and 7. Control vaccinated mice similarly received two vaccinations consisting of a Montanide:H20 emulsion (Figure 8d). Encouragingly, the ARG2 (P4) vaccination resulted in a significant tumor growth delay compared to the control vaccinated group (Figure 8g), indicating a therapeutic effect of ARG2-primed T cells. At all evaluated time points, the tumors were found to be significantly smaller in the ARG2 vaccinated group compared to the control vaccinated group (Figure 8h). Mice were sacrificed on day 12 after inoculation due to ulceration of tumors.
Discussion
Here we describe ARG2-specific effector T-cells that offer a potential, novel means of targeting ARG2-expressing immunosuppressive cells. By screening a peptide library covering the entire ARG2 sequence, we first identified peripheral ARG2-specific T-cells that are naturally present in the peripheral blood from patients with cancer and from HDs. Of interest, ARG2 contains multiple epitopes that peripheral T cells recognized amongst many subjects. The frequent T-cell responses against ARG2 emphasize the high immunogenicity of ARG2 and support the likelihood of boosting an ARG2-specific immune response in ARG2-expressing cancers, e.g., prostate cancer or AML. In AML we detected strong responses in 3 out of 9 examined patients. Interestingly these three patients with the strong ARG2-responses had de novo AML, whereas none of the patients who had progressed to AML from a more indolent disease (MPN or MPN) had an ARG2-response. This could suggest an exhaustion of ARG2-specific T-cells in the pre-AML phase in these patients that may subsequently have led to an escape. Furthermore, high frequency of ARG2-specific responses in healthy individuals suggest that these T-cells are a natural part of the immune system and may play an important role for immune homeostasis .17 Naturally, this also suggests that the spontaneous T-cell response toward ARG2 is not necessarily directly linked to the malignant disease. However, our demonstration that ARG2 specific CD4 + T-cells are able to directly recognize and react to malignant myeloid cells in an ARG2-dependent manner, suggest that ARG2 specific T-cells will be able to react against both malignant and nonmalignant T-cells in an ARG2-expressing TME.
In general, tumors are now divided into different categories depending on the immune infiltration, as follows: (i) a scant immune infiltrate (‘cold’ tumors); (ii) an immune infiltrate precluded from contacting malignant T-cells ‘excluded’ tumors); and (iii) an abundant tumor infiltrate (‘hot’ tumors), held in check by robust immunosuppressive mechanisms.30 An important therapeutic strategy involves using clinical combinations that convert ‘cold’ and ‘excluded’ tumors into ‘hot’ tumors, because the latter are generally associated with improved disease outcomes with immunotherapy, especially checkpoint blockade. An important characteristic of arginase is its expression in the ‘excluded’ tumor types because of arginase-expressing immune-suppressive cells in these tumors. ARG1 is upregulated in M2-like macrophages in response to cytokines such as IL-4 and IL-13, in addition to IL-10 and transforming growth factor-β.31 In contrast, the regulation of ARG2 has been less well-characterized, but its expression can be induced in murine macrophages by Toll-like receptor ligands such as lipopolysaccharide and oligodeoxynucleotides containing high amounts of unmethylated cytosine guanine motifs.32 Furthermore, IL1β and TNFα induce ARG2 in neuroblastoma cells.33 Here we show that a mixture of cytokines (i.e., IL4, GM-CSF, and TNF-α) induces ARG2 in malignant myeloid cells. Thus, ARG2 seems to be induced by environments of both excluded tumors and the more ‘intermediate’ to ‘hot’ tumors. Our data shows that Arg-2-specific self-reactive T cells are a naturally occurring part of T-cell repertoire of the human immune system even in healthy donors. Interestingly, the T-cell responses against the individual peptides in the periphery varied. This may of cause simply reflect different HLA-types expressed among donors. However, it may also illustrate that T-cell responses in the periphery are fluctuating due to different inflammatory conditions of the hosts. In conditions where ARG2 are induced in cells a subsequent activation of ARG2-specific T-cells occurs. Some healthy donors that did not show a reaction toward a given peptide may thus have a positive reaction if they were examined at other time points.
Because of the differing microenvironments that lead to induction of ARG1 versus ARG2, it is no surprise that different T-cells and different tumor types in the tumor microenvironment express these two enzymes differentially. MDSCs and tumor-associated macrophages mainly express ARG1, whereas ARG2 has been described as being expressed by various solid tumor cells, AML blasts, and CAFs. For this reason, the combination of ARG1 and ARG2 for vaccination might capture different immunosuppressive arginase-expressing cells in the tumor microenvironment and benefit more patients.
Activated M1 macrophages that propagate inflammation arise in response to Th1 cytokines such as IFNγ.34 Of note, many stroma cells are not terminally differentiated and can revert into immunocompetent T-cells under a pro-inflammatory stimulus. Activation of arginase-specific T-cells by a trigger such as vaccination should indeed cause Th1 inflammation at the tumor site.22 We have reported that other types of anti-Tregs exist, including IDO- and PD-L1–specific pro-inflammatory T-cells.35–40 We have further reported that Th1-inflammation signals, such as IFNγ, spontaneously lead to the expansion of these IDO- and PD-L1–specific T-cells,36,41 suggesting a potential synergism of arginase with IDO- or PDL1-based vaccines. In this scenario, ARG1/ARG2 vaccination could induce Th1 inflammation at tumor sites, where arginase-expressing cells otherwise prevent lymphocyte infiltration. In turn, this effect would induce IDO and/or PD-L1, enabling further targeting by anti-Tregs that recognize epitopes derived from these targets. Thus, the combination of epitopes from different anti-Treg target antigens could be additive in a vaccination approach.
Combination therapy with ARG2 immune-modulatory vaccines that activate ARG2-specific T-cells and checkpoint-blocking antibodies should increase the number of patients able to respond to therapy compared to checkpoint blockade alone, which works only in inflamed tumors. Arginase-expressing cells prevent effector lymphocyte proliferation at the tumor site [8] and are an important reason for the lack of effect of anti-PD1 therapy in many patients with cancer. Here we confirmed that ARG2 is indeed expressed in poorly immunogenic42 and anti-PD-1–resistant43 tumor model Lewis lung carcinoma. We find that activation of ARG2-specific T-cells by vaccination significantly inhibits Lewis lung carcinoma tumor growth. ARG2-expression has previously been described in the LL model, and ARG2 seems to be expressed more in CAFs and TAMs than in cancer cells44 underlining the immune modulatory character of the ARG2 vaccine.
In summary, we report that ARG2-specific T-cells are a natural part of the immune system and can be readily employed to tip the balance away from immune suppression in cancer. Therapeutic vaccination against ARG2 should promote generation of an inflammatory tumor microenvironment that would favor cancer-specific immune responses against cancer cells. It is therefore likely that an ARG2-based vaccine would function synergistically with another immunotherapy, especially checkpoint inhibitors. The most immunogenic peptide used here efficiently stimulated ARG2-specific T-cell responses. This function may be vital for rebalancing the microenvironment and should increase the effect of T-cell–enhancing drugs, such as checkpoint blockers, compared to monotherapy or current vaccines that target only cancer cells.
Methods
Patient material
PBMCs from healthy donors were isolated using density gradient separation over Lymphoprep™ (Alere) and cryopreserved at −150°C in FBS (Life Technologies) supplemented with 10% DMSO. PBMCs from cancer patients with solid tumors were isolated from blood samples taken a minimum of four weeks after the termination of any anti-cancer therapy. PBMCs from patients with AML were isolated from blood samples taken from patients at different disease and treatment stages, thus including patients in therapy. PMBCs were maintained in X–vivo (BioNordika) supplemented with 5% human serum (Sigma Aldrich).
Cell culture
THP-1 were cultured in RPMI (Gibco) supplemented with 10% FBS. Set2 cells were cultured in RPMI with 20% FBS. OCI-AML-2 cells were cultured in Alpha-MEM (Life Technologies) with 10% FBS. MONO-MAC-1 cells were cultured in RPMI supplemented with 10% FBS, 1 mM sodium pyruvate (Life Technologies), 2 mM L-glutamine (Life Technologies) and 1x non-essential amino acids (Life Technologies). All cell lines were tested and confirmed negative for mycoplasma. Cells were passaged 2–3 times a week. Cytokine stimulation with IL-4 (400 U/ml), IL-13 (50 ng/ml), IFNy (100 U/ml) or cytokine cocktail (400 U/ml IL-4, 1000 U/ml GM-CSF and 1000 U/ml TNFα) was done by seeding of 0.5–0.75 mio cells pr. ml medium supplemented with the respective cytokines and 48 hrs of incubation before cells were harvested for various experiments. All cytokines are from Trichem.
Tumor derived cell line Lewis lung carcinoma (LL/2), B16.F10, MC38 and GL261 were cultured in DMEM supplemented with penicillin, streptomycin and 10% FBS. Pan02 cells were cultured in RPMI supplemented with penicillin, streptomycin and 10% FBS while EO771 cells were cultured in DMEM supplemented with 20% FCS and HEPES buffer. Cells were passaged 2–3 times a week by detachment from the flask with 0.25% Trypsin-EDTA (Gibco).
Peptides
The ARG2 peptide library of 34 20mer peptides was synthesized by PepScan and dissolved in DMSO at 10 mM for screening for immune responses. For remaining experiments, ARG2-1 was dissolved in sterile water at 2 mM. Long ARG2 peptides (A2L1, A2L2, A2L3) were synthesized by Schäfer and dissolved at 2 mM in sterile water. Peptides dissolved in sterile water was filtered through a 0.22 µm filter before use. Purity of the synthesized peptides were >90 %. For a list of all peptides, see supplementary table 1.
Peptide stimulation and ELISPOT assay
PBMCs from healthy donors or cancer patients were stimulated with 10 µM of ARG2-derived peptides in vitro to enhance assay sensitivity. On day 2, IL-2 was added to a total of 120 U/ml IL-2 (Novartis). After 7 days, 4–6 × 105 PBMCs were placed at the bottom of an ELISPOT plate pre-coated with IFNy capture antibody (Mabtech). PBMCs from each donor or patient were set up in triplicates or quadruplicates for peptide (5 µM ARG2-derived peptide) and control stimulations. Cells were incubated in ELISPOT plates in the presence of an antigen for 14–16 hrs after which they were washed off and secondary biotinylated antibody (Mabtech) was added. After two hours of incubation the secondary antibody was washed off before addition of streptavidin conjugated alkaline phosphatase (Mabtech) for 1 hr. Next, unbound enzyme was washed off and the assay was developed by adding BCIP/NBT subtrate (Mabtech). Developed ELISPOT plates were analyzed on CTL Immunospot S6 Ultimate-V analyzer with ImmunoSpot software, version 5.1. Responses are reported as the difference between average number of spots in well stimulated with ARG2-derived peptides and control wells.
ELISPOT assays with ARG2-specific T-cells (effector cells) and various immune or cancer cells as target cells were setup by placing 1–5 × 104 effector cells (as indicated) and 1–2.5 × 104 targeT-cells (as indicated) in the bottom of an ELISPOT well. Peptide pulsing of targeT-cells were performed by incubation of cells with 20 µM peptide for 1 hr followed by two washes to remove unbound peptide. These cells served as positive control. Effector cells plated without target cells served as negative control. All conditions were setup in triplicates or quadruplicates.
Intracellular cytokine staining assay
Intracellular staining of cell cultures was performed on PBMCs after one week of ARG2-derived peptide stimulation in vitro. For the assay, 9 × 105 PMBCs were re-stimulated with ARG2-derived peptides (or incubated with no peptide as a control) for 5 hours in the presence of BD GolgiPlugTM (added after the first hour of peptide stimulation). Stimulated cells were stained with fluorescently labeled antibodies for surface markers (CD3, CD4, CD8) and thereafter permeabilized by using Fixation/Permeabilization and Permeabilization Buffer (eBioscience, cat. 00–5123-43), according to manufacturer’s instructions. Permeabilized cells were then stained with fluorochrome-labeled antibodies for IFNγ and TNFα. Flow cytometry analysis was performed on a FACSCantoTM II (BD Biosciences). Antibodies used: IFNγ-APC, TNFα-BV421, CD4-PerCP, CD8-FITC, CD3-APC-H7, CD4-FITC, CD8-PerCP, and dead cells stain- FVS510 (all from BD Biosciences) according to manufacturer’s instructions. For intracellular cytokine staining to detect cytokine production of ARG2-specific T-cells in response to targeT-cells, 5 × 105 ARG2 specific cells were incubated with 2.5 × 105 targeT-cells for 5 hours with GolgiPlug™ added after the first hour.
Establishment of ARG2-specific T-cell cultures
The ARG2-specific T-cell culture was established by initial stimulation of PMBCs from a prostate cancer patient with irradiated ARG2-1 loaded autologous mature dendritic cells. The following day IL-12 (20 U/ml) and IL-7 (40 U/ml) was added. PBMCs were restimulated every 8 days with ARG2-1 peptide loaded autologous DCs followed by addition of IL-2 (120 U/ml) the next day. ARG2-specific T-cells were enriched using IFNy enrichment kit (MiltenyiBiotec) after 4 stimulations. Cells were expanded and ARG2-specific T-cells were further enriched using CD4+ enrichment kit (MiltenyiBiotec).
Production of in-vitro transcribed mRNA
The cDNA encoding ARG2 (NM_001172.4) was synthesized and cloned into the HLA Class II targeting plasmid pGEM-sig-DC.LAMP (kindly provided by Dr. K. Thielemans, Medical School of the Vrije Universiteit Brussel) using BamHI restriction sites. The pGEM-ARG2-DC-LAMP plasmid was linearized with SpeI before serving as DNA template for in vitro transcription .45
Total RNA extraction
Cells were harvested, washed in PBS and pelleted by centrifugation. Cell pellets were kept on ice or frozen down at −80°C until RNA extraction. Total RNA was extracted using the RNAeasy Plus Mini Kit (Qiagen) according to manufacturer’s instruction with final elution in 30 µl of RNA-free water. The RNA concentration was measured on the NanoDrop 2000 Spectrophotometer (Thermo Scientific). RNA was stored at −80°C.
RT-qPCR
Total RNA was reverse transcribed using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). For each reaction, 1000 ng RNA was reverse transcribed. For RT-qPCR, the cDNA was diluted 1:5 and subjected to RT-qPCR analysis using the TaqMan Gene Expression Assay on the Roche Lightcycler 480 Instrument. RT-qPCRs were run in quadruplicates and data was analyzed using the dCT-method with normalization to expression level of the house keeping gene RPLPO and control sample. For low concentration samples that were not amplified, Ct was set to 40. No-reverse transcriptase controls (cDNA reactions setup without reverse transcriptase) served as controls of specific amplification. A list of primers used in this study is found in supplementary table 4.
Electroporation
For mRNA, DCs or cancer cells were transfected with ARG1-DC-LAMP mRNA, ARG2-DC-LAMP mRNA or control mRNA encoding eGFP using electroporation parameters as previously described. Briefly, cells were washed twice in Opti-MEM medium (Thermo Scientific) and adjusted to a final cell concentration of 9–12 × 106 cells/ml. 350 µl cell suspension was preincubated on ice for 5 minutes before addition of 10 µg mRNA. The cell suspension was then quickly transferred into a 2-mm (cancer cells) or 4-mm (DCs) gap electroporation cuvette and electroporated.45 After electroporation, cells were quickly transferred to a dish with pre-warmed medium and incubated in humidified atmosphere with 5% CO2 before use for different experimental analysis. mRNA transfected cells were rested for 1 hr before they were setup in ELISPOT assay or rested overnight before set-up in intracellular cytokine staining assay. Electroporation efficiency was determined 24 hours post transfection by FACS analysis of the GFP transfected cells.
siRNA mediated ARG2 silencing
A set of three siRNA duplexes targeting ARG2 was obtained from Ambion (ARG2 Silencer Select Validated siRNA, ID s1571, s1572, s1573). siRNAs were suspended in nuclease free water to 0.1 nmol stock solutions and stored at −80°C. For ARG2 silencing experiments, THP-1 cells were prepared for electroporation as described above and 10 µl of a working solution of 0.02 nmol siRNA solution was added of each of the three siRNA before transfection as previously described. Immediately after transfection, cells were transferred to pre-warmed medium and incubated for 1 hr. Transfected cells were then split in two, and to half of the cells cytokine cocktail (400 U/ml IL-4, 1000 U/ml GM-CSF and 1000 U/ml TNFα) was added. Cells were incubated in medium or medium containing cytokine cocktail for 48 hrs before they were set up in intracellular cytokine staining assay. Cells were pelleted for RNA after 48 hrs for accession of knock down efficiency by RT-qPCR.
Flow cytometric analysis of HLA-DR expression
HLA-DR expression analysis was performed on cells stimulated for 48 hrs with mock (no cytokines), IFNy (100 U/ml) or cytokine cocktail (400 U/ml IL-4, 1000 U/ml GM-CSF and 1000 U/ml TNFα). Briefly, cells were washed and stained with 7-AAD (cat: 51–68981E, BD Bioscience) and FITC-conjugated mouse anti-human HLA-DR, DP, DQ (cat: 5555581, BD Bioscience) or FITC-conjugated mouse IgG1 K isotype ctrl (FC) (cat: 400109, BD Bioscience) for 30 minutes at 4 °C. Excess antibody was washed off before cells were analyzed on FACSCanto™ II instrument. HLA-DR expression levels is given as the difference in MFI between MHC Class II stained live cells and isotype control stained live cells.
Animal experiments
Animal experiments were performed at the animal facility of the Department of Oncology, Herlev Hospital. Daily care and breeding of C57BL/6 mice was performed by animal caretakers of the animal facility. For the therapeutic vaccination studies, C57BL/6 mice were purchased from Taconic.
Tumor injections
LL2 cells (5*10^5) were resuspended in 100ul of serum free medium and were injected subcutaneously in the right flank of female C57BL/6 mice. Tumor volumes were measured by digital caliper and calculated according to the formula Volume = (Length x Width^2)/2. The endpoint of the tumor studies was a tumor reaching the threshold size of 1000 mm3 or due to the formation of ulcers on the tumor.
Peptide vaccination and murine ELISPOT
Murine ARG2 peptides (P1-P6) were synthesized by PepScan or Schäfer and dissolved in either ultrapure water or DMSO at 2 mM or 10 mM, respectively, depending on the reported solubility. Dissolved peptides were subsequently emulsified with Montanide adjuvant (50 αl/mouse) (Seppic Inc.) for an optimal dose of 100 αg total peptide given in a total volume of 100 αl. The emulsified peptide vaccination was injected subcutaneously at the base or the tail or the flank of 12–16 weeks old C57BL/6 mice with a 27 G needle. Control mice were given water and Montanide emulsification in a total volume of 100 αl. For therapeutic vaccine studies on tumor inoculated mice, vaccinations were given at day 0 and 7 after tumor inoculation at the flank of the tail and the left flank, respectively. For epitope screening – and validation experiments, a single dose of vaccine was given to mice at the right flank. One week later, mice were sacrificed, and spleens were recovered. Spleens were smashed through a 70 µM filter and red blood cells were lysed using Red Blood Cell Lysis Buffer (Qiagen). Cells were washed 4 times and counted before setup for murine IFNy ELISPOT assay with 8*106 cells pr. well.
Statistical analysis
ELISPOT responses were analyzed using distribution free resampling (DFR) method, described by Moodie et al.46 Statistical analysis of ELISPOT responses was performed using R studio. The difference in responses (specific IFNy-secreting cells) toward ARG2-1 and A2L2 were compared with the use of Wilcoxon matched pairs signed ranked t test (using Prism 8) with a significance level of 0.05. Two-tailed Student t-test was performed to determine statistical significance between tumor sizes at single timepoints and Two-way ANOVA with Bonferroni correction was used to determine statistical significance for entire tumor growth curves with comparison between multiple timepoints (using Prism 8).
Study approval
All protocols were approved by the Scientific Ethics Committee for the Capital Region of Denmark and conducted in accordance with the provisions of the Declaration of Helsinki. Permission to collect samples from AML patients was granted from the Scientific Ethics Committee of Region Zealand. Written informed consent from the patients was obtained before study entry. All animal experiments were reviewed and approved by the Danish Animal Experimentation Council.
Supplementary Material
Acknowledgments
We would like to thank Merete Jonassen for excellent technical support and Tobias Wirenfeldt Clausen for highly valued statistical support. This work was supported by Herlev Hospital, the Danish Cancer Society, and the Danish Council for Independent Research. The funders had no role in the study design, data collection and analysis, decision to publish, or manuscript preparation.
Funding Statement
This work was supported by Herlev Hospital [-]; The Danish Council for Independent Research [-]; Danish Cancer Society [-].
Author contributions
Designing research (MHA), conducting experiments (SEW-B, MLH, MOH, MAJ, SKB, EM), acquiring data (ÖM, DHM, MHA), analyzing data (SEW-B, MLH, MOH, MAJ, SKB, EM, MC, IMS, NØ, AWP, ÖM, DHM, MHA), providing reagents (AWP, NØ, DHM), and writing the manuscript (SEW-B, MLH, MHA).
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Disclosure statement
MHA has made an invention based on the use of ARG2 for vaccinations. The rights of the invention have been transferred to Copenhagen University Hospital Herlev, according to the Danish Law of Public Inventions at Public Research Institutions. The capital region has licensed the rights to the company IO Biotech ApS, whose purpose is to develop immune-modulating vaccines for cancer treatments. The patent application was filed by IO Biotech ApS. MHA is a shareholder and board member of IO Biotech ApS. IMS is a shareholder of IO Biotech ApS. EM and AWP are employed at IO Biotech ApS.
Supplementary material
Supplemental data for this article can be accessed on the publisher’s website.
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