Introduction
Macrophages are a well-established component of the breast tumor microenvironment, and their roles in tumor growth and development are complex and multifaceted. In breast cancer, increased levels of infiltrating macrophages correlate with poor patient prognosis [
1] as macrophages recruited to primary tumor and metastatic sites promote tumor cell survival, proliferation, therapeutic resistance, and evasion of the immune system [
2‐
4]. However, macrophages also contribute to tumor elimination through enhancing adaptive immune responses by co-stimulation and antigen presentation [
5,
6]. Tumor-associated macrophages (TAMs) produce soluble factors that interact with not only tumor cells, but also extracellular matrix (ECM) factors, vasculature components, and lymphocytes [
3,
7] and contribute to the overall balance of a tumor-promoting or tumor-controlling microenvironment [
8]. Studies characterizing TAM phenotypes in the tumor microenvironment have indicated TAM populations vary greatly based on tumor cell type, stage, localization, and stimuli [
9,
10]. To effectively manipulate the balance between pro- and anti-tumor activity, it is important to understand the upstream mediators that regulate macrophage function in the breast cancer microenvironment.
The Janus Kinase (JAK)/Signal Transducer and Activator of Transcription (STAT) pathway is a critical regulator of macrophage function and we have previously shown that breast cancer-derived soluble factors are capable of activating both STAT3 and STAT5 in macrophages [
11]. While STAT3 regulation of macrophages in the tumor microenvironment has been studied previously [
11‐
14], there is significantly less known regarding the impact of STAT5 activation on TAMs. STAT5 is a well-known promoter of cell survival and its activation in mammary tumor cells has been linked to stimulation of oncogenic signaling pathways [
15‐
20]. Some studies have demonstrated elevated pSTAT5 levels in early stages of tumor development, which is lost in more advanced stages of disease [
16]. Other analyses have indicated STAT5 levels correlate with better outcomes in breast cancer patients [
21,
22]. Together, these findings suggest that STAT5 is activated in epithelium early during the oncogenic process, and that loss of STAT5 activity is associated with late stages of tumor progression [
16]. However, the effects of STAT5 activity in cells within the TME, such as in macrophages, have not yet been thoroughly addressed. Relevant to other immune cell types, STAT5 has a well-characterized role in T cell activation, survival, and lineage commitment [
23‐
25] and STAT5 deletion in dendritic cells (DCs) results in impaired DC-stimulated T
H2 responses [
26]. Collectively, these findings indicate STAT5 regulates each arm of and intersections between innate and adaptive immunity. However, little is known about the contributions of STAT5 signaling to the function of TAMs, which can interact with both innate and adaptive immune cells. We have previously demonstrated loss of STAT5 in myeloid cells increases epithelial proliferation and hyperplasia formation in a mouse model of early stage tumorigenesis [
27]. Together, these findings provided rationale to further evaluate STAT5-specific contributions to TAM function during breast cancer progression.
In these studies, we show that soluble factors, such as GM-CSF from triple-negative breast cancer (TNBC) cells, induce STAT5 activation in macrophages. Using genetic approaches, we demonstrate that STAT5 deletion via a Csf1r-driven Cre expression model enhances tumor cell metastasis to the lungs. Analysis of RNA-seq data reveals that loss of STAT5 in macrophages reduces expression of genes involved in immune stimulatory processes while increasing genes associated with tissue remodeling. Furthermore, we provide evidence that STAT5 deletion in macrophages can promote tumor cell migration in vitro and metastasis in vivo. Together, these studies suggest that the GM-CSF/STAT5 signaling axis restricts tumor-promoting functions of macrophages, and that loss of STAT5 activity in these cells results in a tumor-promoting microenvironment. Understanding the signaling mechanisms driving tumor-associated macrophage function is important for developing macrophage-focused therapeutic strategies for effective tumor control.
Materials and methods
Mice
Csf1r-iCre mice (Jackson Laboratories) and Stat5
fl/fl mice [generated by Dr. Lothar Hennighausen [
28], obtained from Dr. Michael Farrar, University of Minnesota] were backcrossed to the BALB/c background, which was verified using congenic analysis (IDEXX-RADIL, Columbia, MO). STAT5
fl/fl and
Csf1r-iCre mice were crossed to generate conditional knockout mice (STAT5
cKO). Wild-type (WT) BALB/c mice were purchased from Envigo. All experiments were performed with 6- to 8-week-old female mice and all animal care and procedures were approved by the Institutional Animal Care and Use Committee of the University of Minnesota and in accordance with the procedures detailed in the Guide for the Care and Use of Laboratory Animals [
29].
Cell culture and stimulation
HC11 [
30] and HC11/R1 cells were obtained from Jeffrey Rosen, Baylor College of Medicine, Houston, TX, and maintained as described previously [
31]. To generate a cell line with enhanced take rate and metastatic propensity, HC11/R1 cells were injected into the mammary fat pad and primary tumors were harvested. Tumor cells were enriched for in culture by incubating in HC11 medium containing 2 mg/mL puromycin. Resulting cell lines were then injected into mammary fat pads of naïve mice and assessed for primary tumor formation and metastasis. The HC11/R1-LM cell line was identified based on its ability to metastasize to the lung following in vivo passage [
32]. 4T1 cells were obtained from Thomas Griffith, University of Minnesota, Minneapolis, MN and grown in media containing RPMI, 10% FBS, 1% penicillin/streptomycin (Life Technologies), 1% L-glutamine (Life Technologies), 10 mM HEPES (Life Technologies), 1 mM sodium pyruvate (Life Technologies) 200 µg/mL G418. Human breast cancer and epithelial cell lines and THP-1 cells were obtained from and maintained in accordance with ATCC recommendations. Mouse BMDMs were maintained according to published protocols [
33]. Human primary macrophages were derived from PBMCs isolated from Trima Cones obtained through the Memorial Blood Center, Minneapolis, MN. PBMCs were subjected to CD14 + enrichment via CD14 + microbeads (Miltenyi Biotec) through MACS LS columns (Miltenyi Biotec) and differentiated into macrophages with recombinant M-CSF (BioLegend) in RPMI supplemented with 10% FBS and 1% penicillin/streptomycin on days 1 and 5 (Day 5 treatment with 2X M-CSF) following CD14 + enrichment. All cells were grown at 37 °C and 5% CO2 and regularly checked for mycoplasma contamination. Serum-starved HC11, HC11/R1, and HC11/R1-LM cells were treated with 30 nM B/B (Clontech) or vehicle (ethanol) for 24 h, and conditioned media was collected, filtered, and used to stimulate BMDMs. 4T1 cells were serum-starved for conditioned media which was used to treat BMDMs. THP-1 cells were differentiated into macrophages with 5 ng/mL phorbol 12-myristate 13-acetate (PMA) overnight. Conditioned medium (CM) collected from serum-starved breast cancer cell lines was spun down to eliminate cellular debris and used to stimulate differentiated THP-1 or primary human macrophages that were serum-depleted in 1% FBS in DMEM for 4 h prior to CM exposure. In experiments neutralizing GM-CSF, rat anti-mouse GM-CSF (BioTechne) was incubated with tumor cell CM at a concentration of 2.5 µg/mL for 1 h at 37 °C prior to treatment of BMDMs. Normal mouse IgG (Santa Cruz) and no treatment were controls incubated with tumor cell CM prior to BMDM stimulation. BMDMs were stimulated with 4T1 CM for 24 h, media was replaced with fresh serum-free media for an additional 24 h to collect soluble factors from the STAT5
fl/fl and STAT5
cKO TAMs and referred to as STAT5
fl/fl DCM (double conditioned-media) and STAT5
cKO DCM, respectively. For non-contact co-culture experiments, 4T1 tumor cells were cultured in the bottom of a six-well plate along with STAT5
fl/fl or STAT5
cKO BMDMs plated in a 0.4 µm hanging insert to allow for soluble factor exchange.
Migration assay
BMDMs were seeded at 2500 cells per 24-well 0.8 µm hanging insert in DMEM10 media and incubated overnight while 4T1 cells were starved in serum-free media. BMDMs in inserts were starved for 4 h prior to the addition of 1 × 104 4T1 cells. As controls, 4T1 cells were seeded alone. Six hundred microliters of RPMI-1640 medium containing 1% FBS was added to the lower chamber of the 24-well plate. After 20 h, cells on the apical side of the top chamber were removed with a cotton swab, inserts washed in PBS, then fixed with methanol for 10 min at − 20 °C. Cells which migrated to the lower side of the membrane were adhered to slide, coverslipped with DAPI and counted under a fluorescence microscope.
Immunoblot analysis
Cells were lysed in RIPA buffer containing protease inhibitors and protein lysates were subjected to SDS–PAGE and immunoblot analysis as previously described [
34]. Antibodies used include pSTAT5 (Cell Signaling #9314, 1:1000), total STAT5 (Cell Signaling #9363, 1:1000), β-tubulin (Cell Signaling # 2146S, 1:1000), pFAK Y397 (Cell Signaling, # 3283S, 1:1000), and total FAK (Cell Signaling #3285S, 1:1000).
Quantitative RT-PCR
RNA for qRT-PCR was extracted from cells using TriPure trizol (Roche) and cDNA was prepared using the qScript cDNA synthesis kit (Quanta Biosciences) according to the manufacturers’ protocols. qRT-PCR was performed using PerfeCTa SYBR Green (Quanta Biosciences) and the Bio-Rad iQ5 system. The 2−ΔΔCt method was used to determine relative quantification of gene expression and normalized to cyclophilin B (CYBP). Primer sequences: Human GMCSF: Fwd- CGTCTCCTGAACCTGAGTAGA, Rev- TGCTGCTTGTAGTGGCTG G. Mouse GMCSF: Fwd- GGCCTTGGAAGCATGTAGAGG, Rev- GGAGAACTCGTTAGAGACGACTT; Col1a1: Fwd– GACGCCATCAAGGTCTACTG, Rev- ACG GGA ATC CAT CGG TCA; Col5a2: Fwd- CAGAAGCCCAG ACGTATCG, Rev- GGTGGTCAGGCACTTCAGAT; Vegfa: Fwd- ACGTCAGAGAGCAACATCACC, Rev- CTTTGT TCT GTC TTT CTT TGG TCT G; Gpx1: Fwd- ATGTCGCGTCTCTCTGAGG, Rev- CCGAACTGATTGCACGGGAA; Bcl6: Fwd- CCGGCTCAATAATCTCGTGAA, Rev- GGTGCATGT AGAGTGGTGAGTGA.
ELISA
Breast cancer cell CM samples were collected and used to perform a human GM-CSF DuoSet ELISA (R&D Systems). Murine tumor cell CM was used to perform mouse GM-CSF ELISA (R&D Systems). STAT5fl/fl DCM and STAT5cKO DCM was subjected to mouse Type I Collagen ELISA (Novus Biologicals). All ELISAs were performed according to the manufacturer’s instructions.
RNA-seq analysis
Total RNA was collected using TriPure reagent (Roche) from primary human STAT5fl/fl and STAT5cKO BMDMs treated with DMEM, 20 ng/mL rmGM-CSF (Fisher Scientific), or 4T1 CM. Samples were submitted in biological triplicate to the University of Minnesota Genomics Center for quality control, library creation, and next-generation sequencing. Due to quality control, one biological replicate was removed from the STAT5fl/fl BMDM submissions. Sequencing data have been deposited in the gene expression omnibus (GEO) GSE171428.
RNA-seq data processing
Bulk RNAseq samples were processed and aligned using the CHURP version 0.2.2 command line interface framework. A full description of the CHURP pipeline can be found in Baller et al. [
35]. Briefly, trimmomatic version 0.33 was used to clean reads for adapter contamination and low-quality sequence, and FastQC was used to generate sequence quality reports for raw and trimmed reads [
36]. HISAT2 version 2.1.0 was used to align samples to the genome reference consortium mouse build 38 reference genome [
37]. featureCounts v1.6.2 was used to count mapped reads to genes [
38]. M. musculus GRC build 38.99 gft file was used.
Gene expression and pathway analysis
All differential gene expression and pathway analyses were done in R v 3.6.3 (R Core Team, 2020). Differential gene expression analysis was done in EdgeR v 3.28.1 [
39]. Differentially expressed genes were identified between wild-type and Stat5 knockout samples for each treatment (DMEM, 4T1-CM and GM-CSF). Counts were normalized using the relative log expression normalization method and only genes with counts per million greater than one in two or more samples were kept. A general linear model approach was used to test for differentially expressed genes between wild-type and knockout samples for each treatment. A gene was categorized as differentially expressed if the p value was less than 0.01 after p value adjustment. P values were adjusted using the Benjamini & Hochberg method and there was no minimum log fold change required. GO term enrichment analysis and gene set enrichment analysis (GSEA) were done using the ClusterProfiler R package [
40]. The hallmark gene set from the Molecular Signatures Database v 7.1 (
https://www.gsea-msigdb.org/gsea/msigdb/index.jsp) was used for the GSEA analysis. Human gene orthologs of mouse genes were obtained from the Mouse Genome Informatics website (
http://www.informatics.jax.org/downloads/reports/HMD_HumanPhenotype.rpt).
ELISA sample collection
Breast cancer cells were serum-starved for 24 h and conditioned medium samples were collected and spun at 1000 xg for 15 min at 4 °C. BSA in PBS was then added to each sample for a final concentration of 0.5%. Each sample was then transferred to a clean eppendorf tube and spun at 10,000 × g for 10 min at 4 °C, after which the supernatants were used for ELISA. Murine tumor cells were serum-starved for 24 h and conditioned media samples were collected and spun to eliminate cellular debris. BMDMs were stimulated with 4T1 CM for 24 h, media was replaced with fresh serum-free media for an additional 24 h to collect STAT5fl/fl DCM and STAT5cKO DCM.
Microscope image acquisition
All images were taken on a Leica DM400B microscope at either 20 × or 40 × objectives. Images were acquired using a Leica DFC310 FX camera and LAS V3.8 software and processed in ImageJ. 3 images per lung were analyzed for metastasis.
Tissue analysis
For immunofluorescence analysis, frozen OCT tumors were sectioned 5-μm-thick prior to staining. For paraffin embedded sections, tumors were fixed in 4% PFA and paraffin embedded. Lungs were inflated with 500µL of 2% PFA and fixed before paraffin embedding. Five-micrometer-thick sections were stained with hematoxylin and eosin (H&E).
In vivo studies
For BALB/c mice tumor induction, 1 × 104 HC11/R1-LM cells or 4T1 cells in 50% Matrigel (BD Biosciences) were injected into the inguinal mammary fat pads of 6-week-old mice. All mice receiving HC11/R1-LM tumors received 1 mg/kg B/B Homodimerizer (Clontech), intraperitoneally, twice weekly. For co-injections studies, BMDMs were treated with 4T1 CM for 24 h. CM-treated BMDMs were then harvested and injected at a ratio of 1:4 with 4T1 tumor cells. All mice were examined for tumor development by palpation and considered tumor-bearing once tumor size reached ∼100 mm3. Researchers were blinded to mouse genotype and co-injection group during data collection and analysis. Tumor volume was calculated using the following equation: V = (L × W2)/2. Mice were euthanized when tumors reached 1 cm3 and survival was recorded as number of days from surgery (Day 0) until tumor size endpoint.
Tissue processing, macrophage isolation, and flow cytometry
At endpoint, lungs or tumors were harvested, minced, and digested in 1 mg/mL Collagenase D (Roche) containing 15 μg/mL DNaseI (Sigma-Aldrich) at 37 °C with shaking for 45–60 min. Following digestion, tissues were further homogenized through a 70 μm cell strainer and pelleted by centrifugation at 500 g. Red blood cells were lysed in ACK Buffer (150 mM ammonium chloride, 10 mM potassium chloride, 0.1 mM sodium EDTA, pH 7.4) and cells were resuspended in FACS Buffer (2% FBS and 1 mM EDTA in PBS). Macrophages were isolated using the Miltenyi F4/80 positive selection MACS beads (130-110-443) and lysed in RIPA buffer prior to immunoblot analysis. For flow cytometry analysis, cells were stained in an antibody master mix including fixable viability dye (eBioscience) and anti-CD16/CD32 (eBioscience, clone 93) at room temperature protected from light. Following surface antibody staining, samples were fixed in 2% paraformaldehyde (PFA) for 1 hour at room temperature. Cells were washed and permeabilized in 1 × Flow Cytometry Permeabilization Buffer (Tonbo) for 5 min, followed by incubation with intracellular antibodies in this buffer for 30 min at room temperature. Following a wash and centrifugation, cells were incubated with streptavidin-APC (eBioscience) for an additional 15 min at room temperature. Antibodies used include: CD45 (BD Biosciences, clone 30-F11), Ly6G (BioLegend, clone 1A8), CD64 (BioLegend, clone X54-5/7.1), MerTK (R&D Systems, polyclonal #BAF591, biotinylated). CountBright Absolute Counting Beads (Life Technologies) were used for cell number calculations. Samples were collected using a LSR Fortessa X-20 cytometer (BD Biosciences) and analyzed using FlowJo Software.
Statistical analysis
Statistical analysis was performed using Student’s unpaired, two-tailed t test. Comparisons between at least three groups was performed using one-way ANOVA with Tukey’s multiple comparison test. Overall survival data were summarized using Kaplan–Meier curves and compared by treatment groups using log-rank tests (GraphPad PRISM v9). Error bars represent standard error of the mean (SEM). P values < 0.05 were considered statistically significant.
Discussion
Macrophages are highly infiltrative within breast tumors and are known to influence disease outcomes [
1]. Conventionally, macrophages are characterized as M1 (classically activated) or M2 (alternatively activated). M1- and M2-polarized macrophages are commonly identified by expression of specific markers based on the stimulus in the microenvironment. M1 macrophages are proinflammatory and considered antitumor and M2 macrophages are associated with antagonizing inflammation and promoting wound healing [
74]. TAMs are often categorized as M2 but recent studies have suggested TAMs can express markers associated with both polarization states depending on tumor type and stage, suggesting a spectra of macrophage phenotypes found in the tumor microenvironment [
9,
10]. As these cells have the capacity to behave in either a tumor-promoting or tumor-antagonizing manner, it is important to determine the upstream events that dictate their function. STAT5 has been linked to both M1 and M2 macrophage polarization in different models [
75‐
80], suggesting that STAT5 function in macrophages may be context dependent. We demonstrate here that loss of STAT5 signaling in macrophages enhances metastasis by promoting tumor cell migration and contributing to the formation of a more permissive environment to disease progression in mammary tumors. These studies further indicate that the GM-CSF/STAT5 signaling axis may tip the balance of macrophage activity towards an anti-tumor immune response and contribute to tumor control.
We demonstrate here that TNBC cell-derived GM-CSF activates STAT5 in macrophages. It is important to note that the conditioned media for these experiments were collected under serum free conditions in order to reduce potential non-specific effects of serum on signaling pathways in macrophages. The increased levels of GM-CSF production by TNBC cell lines compared with other cell line subtypes suggest higher constitutive levels of inflammatory signaling pathways in TNBC cells in the absence of exogenous stimulation, which has been observed previously [
81]. However, these findings do not address the possibility that ER+ and HER2+ cells can be induced to secrete GM-CSF with exogenous factors. For example, GM-CSF can also be produced by MCF7 cells induced to undergo EMT following TGFβ stimulation [
81]. Thus, while published data support a higher level of GM-CSF expression in basal breast cancer samples [
50], further studies are needed to identify the specific signaling pathways regulating GM-CSF expression in TNBC cells, and to determine whether exogenous factors such as serum, hormones, or growth factors induce or enhance production of GM-CSF in all subtypes of breast cancer cells.
The role of GM-CSF in breast cancer is unclear as evidence suggests GM-CSF can support tumor growth but also exhibits inhibitory effects [
82,
83]. The function of GM-CSF in various immune cell populations in the tumor microenvironment has been extensively studied, as this cytokine is vital for survival and differentiation of DCs and monocytes/macrophages [
49,
82]. Studies have implicated cancer cell-derived GM-CSF in promoting disease progression and immune suppression (i.e. supporting myeloid-derived suppressor cells or MDSCs) [
51,
84‐
86]. Other studies have determined GM-CSF stimulates antitumor immunity through activation and antigen presentation of DCs, as well as priming of T cells [
87,
88]. Recent studies have begun to further investigate the effects of tumor-derived GM-CSF on TAMs in breast cancer as they have not been previously extensively characterized [
52,
81,
89]. For example, 4T1-derived GM-CSF has been shown to promote an M1 phenotype in macrophages and exhibit anti-metastatic function [
52]. While GM-CSF can initiate signaling through multiple pathways including STAT5, MAPK, and PI3K/Akt [
90], the distinct pathways leading to changes in macrophage phenotype have not been specifically investigated. Our data suggest GM-CSF/STAT5 signaling in macrophages has a critical function in regulating tumor/stroma interactions in breast cancer.
While STAT5 activity is known to promote survival and oncogenic signaling in mammary epithelial and breast cancer cells [
15,
16,
21,
22], less is known regarding how STAT5 regulates macrophage function. We previously demonstrated that pSTAT5 is activated in approximately 30% of macrophages in proximity to developing terminal end buds [
27]. However, these studies did not include assessment of STAT5 phosphorylation in macrophage populations within the adipose stroma, which, as we have recently described, represents a large proportion of resident macrophages in the mammary gland [
91]. We demonstrate here that STAT5 is activated in approximately 31% of tumor-associated macrophages. Further studies using approaches that allow for spatial resolution of expression levels of STAT5 activating cytokines, such as GM-CSF, would provide additional insight into the mechanisms driving the heterogeneity of STAT5 activation in the macrophage population in both the normal mammary gland and in tumors. Considering the robust STAT5 activation in macrophages by tumor-derived factors, we sought to determine whether STAT5 deletion impacted mammary tumor progression. To this end, we generated a mouse model in which STAT5 deletion is driven in myeloid lineages by
Csf1r-iCre. In previously published studies using this model, we demonstrated that myeloid STAT5 deletion leads to altered mammary gland development [
27]. Specifically, we found a reduction in ductal elongation along with increased branching and epithelial proliferation in the mammary gland. Further analysis of the mammary glands from these mice demonstrated no detectable defects in the recruitment of macrophages to the epithelial ducts. In contrast, here we identified a reduction in the number of macrophages recruited to mammary tumors in the STAT5
cKO mice, suggesting potential implications for STAT5 in regulating tumor-associated macrophage differentiation, survival, proliferation, or recruitment of bone marrow derived and/or resident macrophages. Given that STAT5 is a potent survival factor in mammary epithelial cells [
15‐
17], it would be of interest to assess whether it contributes similarly to the survival of TAMs in this model.
We demonstrate here that STAT5 deletion using the
Csf1r-iCre model led to enhanced tumor cell metastasis to the lung. STAT5 activation has been associated with M1 macrophage polarization [
92] which suggests this transcription factor may have the capacity to promote anti-tumor immune responses in macrophages. RNA-seq analysis of STAT5
fl/fl and STAT5
cKO macrophages revealed genes significantly reduced in STAT5
cKO BMDMs were associated with anti-tumor and adaptive immune responses such as T cell activation and recruitment, as well as antigen presentation and phagocytosis. Conversely, genes significantly increased with STAT5 deletion were associated with pro-tumor, tissue remodeling/repair biological processes. Consistent with the results from the
Csf1r-iCre model in vivo
, enhanced metastasis in the STAT5
cKO mice may be attributed to macrophage-mediated suppression of the adaptive immune response and coinciding tumor microenvironment alterations promoting migration and invasion. Further exploration of STAT5-mediated changes in macrophages revealed positive enrichment of gene sets associated with TNF signaling via NFκB, angiogenesis, and EMT, among others. Additionally, these studies focused primarily on GM-CSF as an activator of STAT5 in macrophages; whether other STAT5-activating stimuli induce similar patterns of transcriptional regulation in macrophages remains to be examined.
In STAT5
cKO macrophages, we validated increased expression of a subset of genes related to EMT and angiogenesis and also demonstrated the ability of these cells to produce increased levels of collagen in vitro. Fibroblasts are major contributors to the synthesis of ECM components such as collagen [
62] and TAMs are key drivers of tissue remodeling, partially due to their expression of matrix-metalloproteinases and other factors responsible for ECM degradation [
93]. Macrophages have also been previously studied for their ability to instruct fibroblast production of collagens [
63] but here, we show macrophage-mediated collagen secretion in 4T1 CM-treated STAT5
cKO BMDMs. Notably, these cells increased expression of multiple types of collagen genes known to promote tumor growth and metastasis (Type I, II, IV, and V collagens) [
2,
59,
63]. Tumor cells are responsive to changes in ECM molecules through integrin mediated FAK activation. FAK activation is known to control cell migration and invasion [
70] and as a result, FAK inhibitors are currently being evaluated for their therapeutic efficacy in reducing tumor growth and metastasis in breast cancer [
71]. Using non-contact co-culture methods, we demonstrated that the STAT5
cKO macrophages produce soluble factors that induce FAK activation and promote tumor cell migration. Soluble growth factors, glycoproteins, and collagens are capable of activating FAK [
70] and further studies are required to define the specific factors produced by the STAT5
cKO macrophages that activate FAK in the tumor cells. It would be interesting to also assess FAK activity in a direct cell-to-cell contact system as this would also be relevant in modeling the TME. In addition to tumor/stroma interactions, it would also be useful to evaluate how STAT5 in macrophages influences endothelial cells and T cells since STAT5
cKO BMDMs highly expressed angiogenesis- and adaptive immune response-related genes.
Cre expression in the
Csf1r-iCre model is found in myeloid cells and a subset of splenic lymphocytes [
73]. Additionally, myeloid deletion of STAT5 also impacts cells within both the primary tumor and the pre-metastatic niche [
94]. Therefore, we used an additional in vivo approach in order to more specifically determine how STAT5-deficient macrophages in the primary tumor influence tumor growth and metastasis. In WT BALB/c mice, we co-injected 4T1 tumor cells with either CM-stimulated STAT5
fl/fl or STAT5
cKO BMDMs. Interestingly, we observed a significant difference in primary tumor growth with the STAT5
cKO co-injected group reaching tumor size end point sooner. This result may be due to the pre-conditioning of the macrophages prior to injection with tumor cells, allowing for a more rapid disease progression than tumor cells alone. Consistent with our hypothesis, we observed significantly enhanced lung metastasis in STAT5
cKO co-injected mice, suggesting that STAT5
cKO macrophages can function within the primary tumor to enhance tumor growth rate and the ability of the tumor cells to metastasize.
Due to its oncogenic potential, the JAK/STAT pathway is an attractive therapeutic target especially for TNBC patients who otherwise have very limited treatment options. However, this pathway is also important to non-tumor cells, such as TAMs. While previous studies have assessed STAT5 levels and phosphorylation in human breast cancers, STAT5 activation has not been specifically assessed in tumor-associated macrophages in human samples. Active STAT5 in tumor cells is generally associated with a more favorable prognosis in human breast cancer patients and loss of STAT5 is associated with the acquisition of a malignant phenotype [
16,
21,
22]. While these studies did not directly address STAT5 levels in macrophages, it would be interesting to determine whether this is associated with a concomitant decrease in STAT5 activation in macrophages and a reduction in tumor restraining properties of these macrophages. The inclusion of techniques that allow for transcriptomic and proteomic spatial resolution to assess changes in STAT5-activating cytokines in these regions would also contribute to our understanding of STAT5 activation in tumor cells and the microenvironment. It is necessary to understand the functional contributions of STATs in TAMs, as these cells may impact therapeutic efficacy. To this end, we have demonstrated STAT5 in macrophages protects against metastatic progression and disruption of this signaling in macrophages enhances the malignant potential of tumor cells. We also identified GM-CSF as an important upstream contributor to macrophage STAT5 activation, which provides rationale to further explore methods of selectively targeting this signaling to enhance macrophage immuno-stimulatory potential without inducing tumor-promoting effects in other cell types. One such method could be the application of cell-specific GM-CSF cytokine delivery to macrophages in the tumor microenvironment [
95]. Obtaining a better understanding of the mechanisms through which macrophages impact tumor progression will ultimately lead to the development of approaches that exploit their potential anti-tumorigenic properties for therapeutic purposes.
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