Introduction
The tumor microenvironment (TME) contains a variety of immune cells with opposing functions. While anti-tumoral cells such as cytotoxic T cells, T helper cells and natural killer cells are important in the immune surveillance and protection against tumors, certain immune modulatory cells including myeloid subsets shape the TME during immune equilibrium and escape phase [
1] and enhance tumor progression by dampening the effector cells [
2]. Three main subsets within the myeloid compartment are characterized by a strong T cell suppressive capacity. Depending on the cell of origin and marker expression, they can be classified in (1) monocytic myeloid-derived suppressor cells (M-MDSC), (2) polymorphonuclear myeloid-derived suppressor cells (PMN-MDSC) and (3) tumor-associated macrophages (TAM) [
3,
4]. Under pathological activation such as chronic inflammation or cancer MDSC are expanded and gain a suppressive phenotype [
5]. Increased numbers of MDSC are a negative prognostic factor for the survival of patients with pancreatic cancer (PDAC) [
6,
7]. In addition, a MDSC-enriched TME is a negative predictive marker for the response to immunotherapy in a mouse model of PDAC [
8]. Despite their high clinical relevance, MDSC-targeted treatment approaches are still insufficient [
9] and there is great need for a better understanding of MDSC development and activation in cancer [
10].
Both MDSC subsets develop from the granulocyte macrophage precursor (GMP) in the bone marrow, and several transcription factors are associated with development and function of MDSC [
11]. Signal transducer and activator of transcription 3 (STAT3) has been shown to regulate MDSC expansion by mediating myeloid-specific growth factor signaling [
12] as well as the suppressive activity by inducing Arginase 1 (ARG1) expression, which suppresses T cell activity by degrading the essential amino acid arginine [
13]. Expression of arginase is one key suppressive mechanism of MDSC.[
3]. CCAAT/enhancer-binding protein beta (
C/EBPβ) regulates the development of polymorphonuclear cells under inflammatory conditions and has been also associated with PMN-MDSC development [
14]. The transcription factor interferon regulatory factor 8 (IRF8) plays a central role in the development of monocytic and polymorphonuclear cells from GMP [
15]. IRF8-deficient mice show leukemic-like symptoms with a dense accumulation of polymorphonuclear cells [
16]. In the context of cancer, strong accumulation of PMN-MDSC has been reported for IRF8-deficient mice [
17].
Another transcription factor of the IRF family, IRF4 is known for its function in lymphoid cells. There, IRF4 regulates antibody class switching in B cells [
18,
19] and facilitates the differentiation of naïve CD4
+ T cells into T helper cell subsets such as Th2, Th9 or Th17 [
20]; in CD8
+ T cells, IRF4 plays a crucial role in maintaining effector function [
21,
22]. Besides its importance in the lymphoid lineage, IRF4 expression has been shown to regulate similar biological functions as observed for IRF8 in myeloid cells. IRF4 is expressed in myeloid-precursor cells and shifts the myeloid development from neutrophil to monocyte development, but to a lesser extent than IRF8 [
23]. In contrast to early myeloid cell development, IRF4 and IRF8 play opposing roles in the development of conventional dendritic cells (cDC) that develop from GMP via pre-cDC precursor cells. While IRF4 is one of the lineage-defining transcription factors in the differentiation of cDC2, IRF8 is pivotal for the differentiation of cDC1 [
24,
25]. Recently, it has been shown that differentiation of Ly6C
+ monocytes to monocytic DC (moDC) requires IRF4 [
26]. Moreover, IRF4 expression is induced by cytokines mediating M2 alternatively activated macrophage polarization such as IL-4 and IL-13 [
27], and itself regulates M2 polarization by inducing M2 effector genes like Arg1 [
28]. A recent publication indicates that IRF4 may regulate the differentiation and suppressive function of MDSC [
29].
In this study, we aim at understanding the role of IRF4 in MDSC development and function in a murine model of PDAC which is characterized by strong expansion of MDSC [
30,
31], by using mice with either global, myeloid cell- or granulocyte-specific
Irf4 deletion.
Discussion
In this study, we show that global IRF4 deficiency accelerates tumor growth, increases frequencies of tumor-infiltrating PMN-MDSC and reduces survival in a murine PDAC model. This is in line with human TCGA cohort data showing that the one-year survival of metastasized PDAC patients with low IRF4 expression is significantly reduced. Reporter mice for studying IRF4 expression in myeloid cells in vivo revealed the induction of IRF4 in myeloid precursor cells and M-MDSC, but not in PMN-MDSC. Accordingly, IRF4 deletion in Ly6G+ cells had no influence on MDSC frequency, the suppressive function, tumor growth or survival. In contrast, IRF4 deletion in LysM+ cells increased tumor weight and led to moderately expanded M-MDSC population in the spleen; yet there was no impact on survival.
A recent study reported that IRF4 is expressed by PMN-MDSC as well as M-MDSC and that 4T1 breast tumors reduced the expression of IRF4 in both cell types. Furthermore, the study demonstrated by knock-down and overexpression experiments in bone marrow cultures showed that lower IRF4 expression increased the frequency of PMN-MDSC and was associated with higher suppressive activity of MDSC. A myeloid cell-specific knockout of IRF4 increased the tumor weight in B16F10 tumor bearing mice [
29]. In contrast to this report, we clearly demonstrate by the use of reporter mice as well as antibody staining that in our PDAC model IRF4 expression is limited to M-MDSC, whereas PMN-MDSC lack IRF4 expression [
29]. As the 4T1 cell line was generated from a BALB/c mouse and the PDAC model we used originated from a C57BL/6 mouse, it remains open whether this discrepancy is due to different tumor models or mouse strains used.
A fraction of GMP was found to express IRF4, which is why they likely contain precursors for both M-MDSC and PMN-MDSC. In line with this finding, a small proportion of PMN-MDSC exhibited a weak GFP expression in
LysMCreIrf4flox reporter mice. Taking together, the findings argue that IRF4 is expressed in some precursors of granulocytes, but is lost during PMN-MDSC differentiation. Considering our data and the current literature of IRF4 and IRF8 data on early myeloid cell development, IRF4 and IRF8 have seemingly overlapping functions in myeloid cell development. The data also suggest that IRF8 may compensate for IRF4 function in IRF4-deficient animals [
23]; however, the exact molecular mechanism of how IRF4-regulates cell fate decision remains elusive.
The suppressive function of MDSC has been linked to their immature state [
34]. The GM-CSF-driven bone marrow culture system is frequently used to study dendritic cells and MDSC in vitro [
14,
29]. IRF4-deficiency shifts the bone marrow culture from mature dendritic cells towards immature MDSC-like cells. This shift in the population frequency questions again earlier findings showing that induction of IRF4 decreases and inhibition of IRF4 increases the suppressive capacity of MDSC intrinsically [
29]. Using sorted MDSC-like cells from these cultures as well as genetic deletion instead of siRNA knock-down, we demonstrate that the intrinsic suppressive activity is not directly influenced by IRF4.
Given the result that IRF4 is not expressed in polymorphonuclear cells, it was not surprising that the deletion of IRF4 in Ly6G
+ cells in vivo did not influence tumor growth, overall survival or MDSC cell frequency. In line with the previous report [
29], myeloid-specific deletion of IRF4 using the
LysMCreIrf4fl/fl mice, accelerated tumor growth, but had no influence on the overall survival. The frequency of M-MDSC was moderately elevated in the spleen, but not in tumors, suggesting that IRF4 rather impacts monocyte differentiation or proliferation.
Besides the minor effects of myeloid-specific deletion of IRF4, the accelerated tumor growth in global IRF4-deficient mice demonstrates a central role of IRF4 in shaping the TME and anti-tumor immunity. IRF4 has been described to be pivotal for efficient antigen cross-presentation of moDC [
26] and to be required for sustained CD8
+ T cell activation [
21,
22]. Given the substantial reduction of intratumoral CD8
+ T cells, it seems more likely that this is due to an impaired sustained activation of antitumoral T cells than due to the amplification and action of MDSC in IRF4-deficent mice. We recently demonstrated that in the PDAC model used the PMN-MDSC frequency correlates with tumor weight [
31]. One can therefore argue that the elevated levels of PMN-MDSC in the global IRF4 deficient mouse could be a secondary effect of the increased tumor size.
In summary, we demonstrate that IRF4 plays an important role in shaping the immune cell composition in the TME of murine pancreatic cancer. Due to the increased PMN- and M-MDSC frequency in IRF4 knockout mice, we hypothesized that a MDSC-intrinsic role of IRF4 might explain the effect on tumor progression. However, polymorphonuclear cells do not express IRF4 in tumor bearing mice and in line with that, the deletion of IRF4 in Ly6G+ cells did not alter tumor development. Despite some effects of IRF4 deletion in LysM+ cells on tumor growth, again, no effect on survival or PMN-MDSC accumulation was observed. Our results, therefore, suggest that the observed in vivo effects in globally IRF4-deficient mice are secondary and due to globally imbalanced immune regulation, but not due to an IRF4-intrinsic effect in MDSC.
Material and methods
Mice
C57BL/6 wild-type mice were purchased from Janvier, France.
Irf4flox mice (B6.129S1-
Irf4tm1Rdf/J) were a kind gift from Prof. Bopp (Institute of Immunology, Universitätsmedizin Mainz),
Ly6GCre mice (C57BL/6-
Ly6g(tm2621(Cre−tdTomato)Arte)) were a kind gift from Prof. Gunzer (Institute for Experimental Immunology and Imaging, University of Duisburg-Essen),
LysMCre mice (B6.129P2-
Lyz2tm1(cre)Ifo/J) were a kind gift from PD Dr. Lech (Institute of Clinical Biochemistry, Klinikum der Universität München).
FLP1 recombinase expressing FLPe mice (B6;SJL-Tg
(ACTFLPe)9205Dym)/J) were purchased from Jackson Laboratory (Sulzfeld, Germany). All mice were kept on C57BL/6 background with a 12-h light/dark cycle, water
ad lib. and regular chow diet (sniff, Soest, Germany) at the Klinikum der Universität München, Munich, Germany. Experiments were performed according to national ethical guidelines approved by the local government (Regierung von Oberbayern, Munich, Germany; file number 55.2-1-54-2532-175-12).
LysMCre were cross-bred with
Irf4flox mice to obtain
LysMCreIrf4flox, and
Ly6GCre were cross-bred with
Irf4flox mice to obtain
Ly6GCreIrf4flox. Both mouse strains were kept on homozygous
Irf4fl/fl background. Exons 1 and 2 of
Irf4 in B6.129S1-
Irf4tm1Rdf/J mice are flanked by two FRT sites. To generate global IRF4-deficient mice, B6;SJL-Tg
(ACTFLPe)9205Dym/J mice were cross-bred with B6.129S1-
Irf4tm1Rdf/J mice and, as described before,
Irf4−/− mice were obtained [
18]. IRF4 sufficient mice originating from those breedings were used as littermate controls. Genotypes of all mice were routinely analyzed by PCR.
DNA isolation and genotyping
DNA from ear or tail biopsies was extracted and analyzed as described before [
35]. Briefly, biopsies were incubated in 75 µl alkaline lysis buffer (25 mM NaOH, 0.2 mM EDTA in H
2O) for 30 min at 95 °C and reaction was stopped by adding 75 µl neutralization buffer (40 mM Tris-HCl in H
2O). Supernatant containing genomic DNA was subsequently used for genotyping with locus specific primer pairs listed in supplementary table 1 by using genotype-specific cycling programs, as summarized in supplementary table 2.
Cell culture
Primary cells were cultured in RPMI-1640 medium (Sigma-Aldrich, Taufkirchen, Germany), supplemented with 10% fetal calf serum (FCS), 2 mM l-glutamine, 100 U/l penicillin, 0.1 mg/ml streptomycin, 100 mM non-essential amino acids (all gibco®, Thermo Fisher Scientific, Karlsruhe, Germany), 1 mM sodium pyruvate and 50 mM 2-mercaptoethanol (both Sigma Aldrich). T110299 tumor cells had been isolated from tumors of genetically-engineered Ptf1a-Cre KrasG12D p53fl/R172H (KPC) mice and kindly provided by Prof. Siveke (West German Cancer Center (WTZ), University Hospital Essen). T110299 cells were cultured in DMEM high glucose media (Sigma-Aldrich), supplemented with 10% FCS, 2 mM l -glutamine, 100 U/l penicillin and 0.1 mg/ml streptomycin (all gibco®). All cells were kept in a humidified incubator at 37 °C and 5% CO2 and were regularly tested for mycoplasma contamination.
Bone marrow culture
Bone marrow cells were isolated by flushing femur and tibia. 2 × 106 cells per 10 ml were seeded in a 10 cm cell culture round plate in primary cell medium supplemented with 20 ng/ml GM-CSF (Peprotech, London, United Kingdom). After three days, 10 ml primary cell medium supplemented with 20 ng/ml GM-CSF was added. Five days after cell isolation, 66% of the medium containing 20 ng/ml GM-CSF was exchanged. If indicated, cells were stimulated overnight with 10 ng/ml IL-4 and 10 ng/ml IL-13 (both Peprotech, London, United Kingdom).
Orthotopic tumor induction
Orthotopic tumors were induced by surgical implantation, as described before [
36]. Briefly, 6–12 weeks old mice were anesthetized, and by surgical incision of the skin and peritoneum, the pancreas was carefully mobilized. After the injection of 2 × 10
5 T110299 cells in 25 µl PBS, the pancreas was relocated, and the incision was closed by surgical suture. Mice were monitored daily and distressed mice were sacrificed. Tumor weight of sacrificed animals was measured and normalized to average tumor weight of WT animals in the respective experiment.
Cell isolation
Spleens and tumors were isolated from the mice and blood was drawn. Spleens were processed through a 70 µm cell strainer. Erythrocytes from spleen and blood were removed using the red blood cell lysis buffer (BD Biosciences, Heidelberg, Germany). Tumor tissue was minced into pieces and mechanically dissociated using the mouse Tumor Dissociation Kit with the gentleMACS™ Dissociator application (both Miltenyi Biotech, Bergisch Gladbach, Germany), according to the manufacturer´s instructions. The cell suspension was separated from tissue debris by sequentially using 100 µm and 70 µm cell strainers. For functional assays, untouched T cells were isolated using the Pan T cell isolation Kit II, and for MDSC isolation the Myeloid-Derived Suppressor Cell Kit was used (both Miltenyi Biotec). In brief, in a two-step separation process, PMN-MDSC (CD11b+ Ly6Cint Ly6G+) were isolated with anti-Ly6G beads followed by M-MDSC (CD11b+ Ly6Chigh Ly6G−) isolation using anti-Gr1 beads. The purity of isolated cells was > 95% for T cells and between 75 and 90% for MDSC.
Cells from bone morrow cultures were isolated by FACSorting. Cells were stained as described for FACS analysis. FVDnegGr1highMHC-IIlow and FVDnegGr1lowMHC-IIhigh were sorted on a BD Aria III system (BD Bioscience, Heidelberg, Germany).
FACS analysis
Prior to fluorochrome staining of single cell suspensions, FcR III/II blocking was performed using the anti-CD16/CD32 TrueStain fcX™ antibody (BioLegend, London, UK). Dead cells were stained for exclusion with fixable viability dye (FVD) (Thermo Fisher Scientific, Karlsruhe, Germany). For cell-specific surface staining, cells were labeled with CD4 (clone GK1.5), CD8 (clone 53–6.7), CD11b (clone M1/70), CD11c (clone N418), CD45 (clone 30-F11), Gr1 (clone RB6-8C5), Ly6C (clone HK1.4), Ly6G (clone 1A8), MHC-II (clone AF6-120.1; all BioLegend, London, UK). IRF4 (clone IRF4.3E4; BioLegend, London UK) or isotype control (clone RTK2071; both BioLegend, London, UK) were stained intracellularly using the one-step intracellular staining protocol of the eBioscience™ FoxP3/Transcription Factor Staining Buffer Kit (Thermo Fisher Scientific, Karlsruhe, Germany). Samples were acquired on a BD LSRFortessa system (BD Bioscience, Heidelberg, Germany), and data were analyzed with FlowJo X software (FLOWJO LLC, Ashland, OR, USA).
T cell suppression assay
Isolated T cells were stained with 2.5 µM Carboxyfluorescein succinimidyl ester (CFSE; Thermo Fisher Scientific) in PBS for 4 min at room temperature and reaction was stopped with FCS. For the assessment of MDSC suppressive capacity, MDSC were co-cultured with anti-CD3/anti-CD28 stimulated CFSE-labeled T cells. For this, 5 × 104 T cells (per well) were seeded into 96-well plates and cocultured with 0.31 × 104, 0.63 × 104, 1.25 × 104, 2.5 × 104 or 5 × 104 MDSC. Each well was supplemented with 1 µl beads (Dynabeads™ Mouse T-Activator CD3/CD28, gibco®, Thermo Fisher Scientific, Karlsruhe, Germany). After 72 h, CFSE dilution of CD4+ and CD8+ T cells was analyzed by flow cytometry (BD Canto II system, BD Bioscience, Heidelberg, Germany). Unstimulated CFSE-labeled T cells only were used to set the threshold of proliferated T cells (CFSElow).
Human dataset analysis
Survival data, IRF4 expression level as well as information on metastasis status of PDAC patients from the TCGA cohort were retrieved via the Xena browser [
37]. Two groups of patients with metastasized PDAC were analyzed: Patients with low IRF4 expression level (≤ the lower quartile) and patients with high IRF4 expression level (≥ the upper quartile). The survival of these two groups was analyzed in a Kaplan–Meier analysis and compared with a Wilcoxon test. The survival status after one year was displayed in a contingency table. As all expected cell frequencies were above five,
χ2 test was used to compare one-year survival of the two groups. All analysis on the TCGA data set was performed using IBM® SPSS® Statistics 25. Graphs were generated in Graphpad Prism 8.3.
Histology
Tumors were embedded in Tissue-Tek® O.C.T.™ (Sakura Finetek GmbH, Staufen, Germany), rapidly frozen in liquid nitrogen and stored at − 80 °C. Prior to analysis, samples were thawed, once washed in PBS, fixed in ROTI®Histofix 4% paraformaldehyde (Roth, Karlsruhe, Germany) and subjected to automated routine histological tissue processing. After paraffin embedding, four µm thick whole tissue sections were stained using haematoxylin-eosine (HE) staining (haematoxylin: Waldeck, Münster, Germany; eosine: Sigma) in an automated tissue stainer (Tissue Tek Prisma, Sakura Finetek).
Statistical analysis
Data represent individual mice and are displayed as mean with standard error of the mean (SEM). To test for statistically significant differences between two groups, student’s t test (for expression data only) or Mann–Whitney U test was used. To compare more than two groups, we applied Kruskal–Wallis test followed by Dunn’s multiple comparison post hoc tests between selected samples. To analyze differences in the survival, Mantel–Cox Logrank test was conducted. For the statistical analysis of suppression assays, only the difference between the conditions with the highest concentration of MDSC was analyzed using a Mann–Whitney U test. Statistical analysis of murine data was performed in Graphpad Prism 8.3.
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