Abstract
The molecular mechanisms leading to aryl hydrocarbon receptor interacting protein (AIP) mutation-induced aggressive, young-onset growth hormone-secreting pituitary tumors are not fully understood. In this study, we have identified that AIP-mutation-positive tumors are infiltrated by a large number of macrophages compared to sporadic tumors. Tissue from pituitary-specific Aip-knockout (AipFlox/Flox;Hesx1Cre/+) mice recapitulated this phenotype. Our human pituitary tumor transcriptome data revealed the “epithelial-to-mesenchymal transition (EMT) pathway” as one of the most significantly altered pathways in AIPpos tumors. Our in vitro data suggest that bone marrow-derived macrophage-conditioned media induces more prominent EMT-like phenotype and enhanced migratory and invasive properties in Aip-knockdown somatomammotroph cells compared to non-targeting controls. We identified that tumor-derived cytokine CCL5 is upregulated in AIP-mutation-positive human adenomas. Aip-knockdown GH3 cell-conditioned media increases macrophage migration, which is inhibited by the CCL5/CCR5 antagonist maraviroc. Our results suggest that a crosstalk between the tumor and its microenvironment plays a key role in the invasive nature of AIP-mutation-positive tumors and the CCL5/CCR5 pathway is a novel potential therapeutic target.
Subject terms: Extracellular signalling molecules, Prognostic markers
Introduction
Heterozygous mutations in the aryl hydrocarbon receptor interacting protein (AIP) gene are present in about fifth of both familial isolated pituitary adenoma and childhood-onset sporadic somatotroph adenomas [1]. Patients with germline AIP mutations (AIPpos) have distinct clinical features, such as young age at diagnosis, large, invasive, sparsely-granulated adenomas with poor response to somatostatin analogs [1–6]. Identification of factors and molecular pathways leading to this aggressive phenotype are of particular importance to predict tumor behavior and identify novel therapeutic targets.
Crosstalk between tumor cells and components of the tumor microenvironment plays a key role in tumor invasion [7–10]. The tumor microenvironment includes immune cells, fibroblasts, endothelial cells, extracellular matrix, and numerous secreted soluble factors such as cytokines, altogether representing a dynamic autocrine–paracrine interaction network that influences tumor behavior. Relatively sparse data are available on the tumor microenvironment of pituitary adenomas. Previous studies found low level of macrophage [11] or lymphocyte [12] infiltration, while a more recent study showed that the presence of hematopoietic CD45+ cells was associated with poor clinical outcome [13] or invasiveness in sparsely granulated somatotroph adenomas [14]. Understanding interactions between tumor cells and the tumor microenvironment may therefore provide novel therapeutic targets.
Our observation of increased macrophage infiltration in AIPpos tumors compared to sporadic somatotrophinomas, combined with gene expression profiling of freshly frozen AIPpos samples indicating altered tumor microenvironment, prompted us to study the invasive behavior of AIPpos tumors in terms of the microenvironment. We found that the tumor-derived cytokine CCL5 is upregulated in AIP-mutation-positive human adenomas. The pituitary-specific Aip-knockout mouse (AipFlox/Flox;Hesx1Cre/+) show increased macrophage content, similar to the human AIPpos tumors. In our in vitro experiments, supernatant of a stable Aip-knockdown somatomammotroph cell line stimulated macrophage migration via CCL5/CCR5 pathway, while macrophage-derived factors lead to epithelial-to-mesenchymal transition (EMT), increased migration, and invasion in pituitary somatotroph cells.
Results
Analysis of the components of the tumor microenvironment in AIPpos tumors
To understand the tumor microenvironment of AIPpos tumors, we evaluated expression of several key components of the tumor microenvironment using specific molecular markers for macrophages (CD68), T-reg cells (FOXP3), cytotoxic T cells (CD8), and memory T cells (CD45RO). Immunostaining with CD68 showed a remarkable increase in the presence of CD68-positive cells in AIPpos tumors compared to sporadic adenomas (P = 0.01) or normal pituitaries (P = 0.001) (Fig. 1a). AIPpos tumors also expressed a significantly higher number of FOXP3+ T-reg cells compared to sporadic adenomas (P = 0.02) or normal tissues (P = 0.01) (Fig. 1b). No significant differences were found in cytotoxic (CD8) or memory T cell (CD45RO) content (Fig. S1A, B).
EMT signatures in AIPpos tumors
Microarray gene expression profiling of normal pituitary and familial or sporadic growth hormone (GH)-secreting tumors (n = 15) identified several significantly altered pathways (Table S1). There were 3,025 differentially expressed genes for AIPpos vs. normal pituitaries and 1,564 differentially expressed genes for sporadic tumors vs. normal pituitaries. The most significantly altered canonical pathways are shown in Fig. S2. The “Regulation of the Epithelial-Mesenchymal Transition Pathway” was one of the most significantly altered pathways (47 genes with 16 upregulated and 31 downregulated) in AIPpos GH tumors compared to sporadic adenomas (Table 1). Six EMT genes (CDH1, CTNNB1, ESRP1, EPCAM, PERP, and ZEB1) were selected for further validation (Table S2).
Table 1.
Symbol | Entrez gene name | Affymetrix | Fold change |
---|---|---|---|
ADAM17 | ADAM metallopeptidase domain 17 | 205746_s_at | 2.32 |
AKT3 | v-akt murine thymoma viral oncogene homolog 3 | 242876_at | −2.92 |
APC | adenomatous polyposis coli | 203527_s_at | 2.80 |
BRAF | B-Raf proto-oncogene, serine/threonine kinase | 206044_s_at | −3.90 |
CDH1 | cadherin 1, type 1, E-cadherin (epithelial) | 201131_s_at | −27.00 |
CDH2 | cadherin 2, type 1, N-cadherin (neuronal) | 203440_at | −17.74 |
CLDN3 | claudin 3 | 203954_x_at | −3.14 |
CTNNB1 | catenin (cadherin-associated protein), beta-1, 88 kDa | 223679_at | −4.07 |
EGFR | epidermal growth factor receptor | 224999_at | −5.65 |
EPCAM | epithelial cell adhesion molecule | 201839_s_at | −2.42 |
ESRP1 | epithelial splicing regulatory protein 1 | 225846_at | −32.31 |
ESRP2 | epithelial splicing regulatory protein 2 | 219395_at | −5.92 |
FGF13 | fibroblast growth factor 13 | 205110_s_at | −7.93 |
FGFR1 | fibroblast growth factor receptor 1 | 222164_at | −4.63 |
FGFR2 | fibroblast growth factor receptor 2 | 203638_s_at | −4.64 |
FGFR3 | fibroblast growth factor receptor 3 | 204379_s_at | −9.55 |
FZD3 | frizzled class receptor 3 | 239082_at | −7.35 |
FZD5 | frizzled class receptor 5 | 221245_s_at | −3.71 |
FZD7 | frizzled class receptor 7 | 203706_s_at | −15.41 |
GSK3B | glycogen synthase kinase 3 beta | 226183_at | 2.89 |
HGF | hepatocyte growth factor (hepapoietin A; scatter factor) | 209960_at | −4.20 |
HRAS | Harvey rat sarcoma viral oncogene homolog | 212983_at | −2.11 |
JAG2 | jagged 2 | 32137_at | −2.97 |
JAK1 | Janus kinase 1 | 239695_at | −4.41 |
LEF1 | lymphoid enhancer-binding factor 1 | 221558_s_at | 3.57 |
LOX | lysyl oxidase | 215446_s_at | 2.76 |
MAP2K5 | mitogen-activated protein kinase kinase 5 | 204756_at | 2.01 |
MMP2 | matrix metallopeptidase 2 (gelatinase A, 72 kDa gelatinase, 72 kDa type IV collagenase) | 201069_at | 4.95 |
MMP9 | matrix metallopeptidase 9 (gelatinase B, 92 kDa gelatinase, 92 kDa type IV collagenase) | 203936_s_at | 2.82 |
NOTCH2 | notch 2 | 202443_x_at | −4.95 |
PERP | PERP, TP53 apoptosis effector | 222392_x_at | −3.73 |
PIK3C2A | phosphatidylinositol-4-phosphate 3-kinase, catalytic subunit type 2 alpha | 241905_at | −7.36 |
PIK3C3 | phosphatidylinositol 3-kinase, catalytic subunit type 3 | 232086_at | 3.85 |
PIK3CB | phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit beta | 217620_s_at | −2.41 |
PIK3CG | phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit gamma | 239294_at | 4.24 |
PSENEN | presenilin enhancer gamma secretase subunit | 218302_at | 2.92 |
RELA | v-rel avian reticuloendotheliosis viral oncogene homolog A | 201783_s_at | –2.10 |
RRAS2 | related RAS viral (r-ras) oncogene homolog 2 | 212589_at | –4.12 |
SMAD2 | SMAD family member 2 | 203076_s_at | 2.50 |
SMAD3 | SMAD family member 3 | 218284_at | –4.13 |
TCF4 | transcription factor 4 | 212385_at | 2.92 |
TCF7L1 | transcription factor 7-like 1 (T cell specific, HMG-box) | 221016_s_at | −2.41 |
TGFB2 | transforming growth factor, beta 2 | 209909_s_at | 8.74 |
TWIST1 | twist family bHLH transcription factor 1 | 213943_at | −4.84 |
WNT4 | wingless-type MMTV integration site family, member 4 | 208606_s_at | 7.04 |
WNT5A | wingless-type MMTV integration site family, member 5A | 213425_at | −4.70 |
ZEB1 | zinc-finger E-box binding homeobox 1 | 210875_s_at | 3.64 |
Validation of EMT markers with quantitative reverse transcriptase PCR and immunohistochemistry
Two-step validation using quantitative reverse transcriptase PCR (RT-qPCR) and immunohistochemistry confirmed our gene expression profiling data (Tables S3 and S4; Fig. 2a, b). E-cadherin (CDH1) mRNA was downregulated in AIPpos tumors (P = 0.004) compared to the normal pituitaries and sporadic GH adenomas (P = 0.001) (Fig. 2a). A significantly lower expression of E-cadherin was seen in AIPpos tumors compared to normal pituitaries (P = 0.0008) and to sporadic somatotrophinomas (P = 0.001) (Fig. 2b). No significant transcript level change was seen for CTNNB1 (cadherin-associated protein, beta-1) coding for β-catenin (Fig. 2a); however, there was a significant difference at the protein level. Normal pituitary showed strong homogeneous membranous β-catenin staining, whereas absent or weak granular membranous beta-catenin expression was observed in 40% of sporadic tumors and 83% of AIPpos tumors (AIPpos vs. normal pituitary P = 0.01, AIPpos vs. sporadic somatotrophinoma P = 0.04) (Fig. 2b). ESRP1 (epithelial splicing regulatory protein 1), a novel molecular marker of EMT, was significantly downregulated in AIPpos tumors compared to the normal pituitaries (P = 0.005) and sporadic tumors (P = 0.0001) at the mRNA level (Fig. 2a). ESRP1 protein expression was significantly decreased in AIPpos tumors compared to normal pituitaries (P = 0.005) (Fig. 2b). PERP (TP53 apoptosis effector), an EMT-related gene, was significantly downregulated in AIPpos tumors both at the RNA and protein level compared to normal pituitaries (P = 0.01 and 0.03) and to sporadic somatotrophinomas (P = 0.002 and 0.02) (Fig. 2a, b). The significant transcriptional downregulation of EPCAM (epithelial cell adhesion molecule; CD326) was confirmed in AIPpos tumors compared to normal pituitaries (P = 0.01) and sporadic adenomas (P = 0.004) (Fig. 2a). Upregulation of ZEB1 (zinc-finger E-box binding homeobox 1), one of the master regulators of EMT, had higher mRNA expression (vs. normal pituitary P = 0.005) and increased nuclear protein expression (vs. normal pituitary P = 0.006; vs. sporadic somatotrophinomas P = 0.01) (Fig. 2a, b).
Macrophage secreted factors induce EMT-like phenotype and enhance migration and invasion of GH3-Aip-KD cells
AIPpos tumors contain a higher number of macrophages and show an EMT signature corresponding to recent results linking tumor-associated macrophages with EMT, which might be critical for invasive behavior [15]. Therefore, we investigated the impact of tumor-associated macrophages in the invasive behavior of Aip-knockdown GH3 cells using in vitro co-cultures. Freshly isolated rat bone marrow-derived macrophages (confirmed with macrophage markers CD11b and CD68) grown in Roswell Park Memorial Institute (RPMI) medium were stimulated with 320 nM phorbol myristate acetate (PMA) for 24 h. Media was replaced with RPMI which was collected at 72 h and then used as macrophage-derived conditioned medium (MCM) for the subsequent analysis (Fig. S3A and B). We used lentiviral-transduced shRNA knockdown of Aip in the rat pituitary somatomammotroph cell line GH3 (GH3-Aip-KD) that show 80% reduced AIP protein expression (Fig. S3C). In order to verify the functional effects of Aip knockdown, we have used two different clones with 50% and 80% level of Aip knockdown. Both the 50% and 80% knockdowns of Aip show increased proliferation and colony formation compared to non-targeting controls (GH3-NT) (Fig. S3D), as previously shown in Aip knockdown [4, 16] or knockout cells [17]. GH3-Aip-KD (80%) and GH3-NT cells were incubated with MCM. A second set of cells following 72 h MCM treatment were incubated with Dulbecco’s modified Eagle’s medium (DMEM) for a further 72 h, to study if the MCM-induced EMT-like changes could be reversed, representing the mesenchymal-to-epithelial transition process.
Cell morphology analysis by ImageJ demonstrated that untreated GH3-NT and GH3-Aip-KD cells show no significant differences in cell size and shape (Fig. 3). MCM-treated GH3-Aip-KD and GH3-NT cells both underwent EMT-like changes with elongated, spindle-shape mesenchymal morphology (Fig. 3a). However, these changes were significantly more pronounced in GH3-Aip-KD cells as shown by cell shape analysis [18]: they have approximately 62% increased cell surface area, 40% larger perimeter and become 42% more elongated than the GH3-NT cells (Fig. 3b–d). Roundness and circularity cell parameters between MCM-treated GH3-Aip-KD and GH3-NT cells were not significantly different. Cell solidity or stiffness are important features of cellular plasticity [19]. Solidity index was decreased for both cell lines following MCM treatment, but GH3-Aip-KD cells had significantly lower solidity compared to GH3-NT cells, suggesting that these cells are more deformable (Fig. 3g). This flexibility is required for migration/invasion through the extracellular matrix and we observed this in the in vitro migration assay where cells need to traverse 8 µm pores of transwell inserts (see data below). After washing off MCM and 72 h treatment with DMEM, both cell lines reverted back to a rounded morphology, with circularity and roundness values returning back to almost one, and showing increased solidity, representing mesenchymal-to-epithelial transition (Fig. 3e–g).
Analysis of EMT markers by immunofluorescence analysis demonstrated that while untreated cells show membranous E-cadherin and little cytoplasmic ZEB1 expression, MCM-treated cells show lack of membranous E-cadherin expression and a significant increase in nuclear and cytoplasmic ZEB1 expression (Fig. 4a). Ingenuity pathway analysis of AIPpos tumors transcriptome identified altered actin cytoskeleton remodeling pathways. Actin staining of GH3 cells showed that untreated cells have cortical actin rings. After MCM treatment, GH3-NT cells show a granular pattern of actin with less actin stress fibers and actin spikes whereas GH3-Aip-KD cells showed a mesenchymal phenotype with elongated morphology with prominent actin stress fibers and numerous actin spikes (Fig. 4a). In the mesenchymal-to-epithelial transition state, cells re-organize actin cytoskeleton and reverse their morphology. Western blot analysis showed that expression of E-cadherin was significantly decreased (P = 0.006) whereas expression of ZEB1 was increased in MCM-treated GH3-Aip-KD cells (P = 0.001) compared to GH3-NT cells (Fig. 4b). These results suggest that macrophage-derived soluble factors could promote an EMT-like phenotype in rat pituitary GH3 cells.
Next, we assessed the functional consequences of EMT to understand if MCM treatment was altering migration and invasion capacity of GH3-Aip-KD and GH3-NT cells. There was no difference in baseline migration between the two cell lines. Incubation with MCM significantly increased cellular migration of GH3-Aip-KD cells compared to untreated cells (Fig. S4). MCM treatment increased invasion in both cell types, but more significantly in GH3-Aip-KD (P = 0.03) (Fig. 4c). These results indicate that activated macrophage-derived factors increase migration/invasion of GH3-Aip-KD cells while GH3-NT shows no or little response.
The effect of tumor-derived factors on macrophage migration
As we found that macrophage-derived factors significantly altered the phenotypic and functional characteristics of GH3-Aip-KD cells compared to the GH3-NT cells, we tested effects of tumor-derived factors on macrophage recruitment: GH3-Aip-KD cell-derived conditioned medium was used as chemoattractant for migration of macrophages. Increased macrophage migration was observed towards the GH3-Aip-KD cell-derived medium compared to GH3-NT cell-conditioned medium (Fig. S5A). These results demonstrate that the GH3-Aip-KD cells release chemotactic factors that might enable increased migration towards tumor cells. Next, we explored human gene expression data to search for potential chemotactic factors in AIPpos tumors that could enhance macrophage migration. Our top candidate was chemokine C–C motif ligand 5 (CCL5). CCL5, also known as RANTES (regulated upon activation, normal T cell expressed and presumably secreted), a protein known to be involved in recruitment of macrophages [20], was significantly upregulated (~6-fold) in AIPpos tumors compared to normal pituitary and sporadic tumors. CCL5 is a ligand for the CCR5 receptor expressed by macrophages. We hypothesized that tumor-derived CCL5 increases macrophage migration via activating CCR5 on macrophages. To test this hypothesis first we performed macrophage chemotaxis assays using recombinant CCL5 as chemoattractant and then used the CCR5 inhibitor maraviroc, an FDA-approved drug, to block their interaction. Recombinant CCL5 increased activated macrophage migration, and this was inhibited by maraviroc (Fig. S5B). Subsequent experiments using GH3-Aip-KD-conditioned media showed that maraviroc also inhibits macrophage migration towards GH3-Aip-KD-conditioned media compared to GH3-NT-conditioned media (Fig. 5a), indicating the role of CCL5–CCR5 interaction in this phenomenon. Furthermore, immunohistochemical analysis revealed higher levels of CCL5 expression in AIPpos tumors than normal pituitary (P = 0.001, Fig. 5b) and no difference between sporadic tumors vs. normal pituitaries. CCL5 levels were elevated in GH3-Aip-KD condition media compared to GH3-NT conditioned media (Fig. S5B). To better understand the mechanism of macrophage recruitment via CCL5, we mined our gene expression profile data to identify potential regulators of CCL5 in AIPpos tumors. FLI1 (Friend leukemia virus integration site-1), a transcription factor, was found to be four-fold upregulated in AIPpos tumors compared to the normal pituitary. There was a significantly increased expression of FLI1 in AIPpos tumors compared to either sporadic tumors (P = 0.003) or normal pituitaries (P = 0.02) (Fig. 5c), therefore explaining upregulated CCL5 [21].
Loss of AIP increases macrophage infiltrates in Aip-knockout mice
To determine the relevance of our in vitro findings in vivo, we evaluated the macrophage infiltrate in a pituitary-specific Aip-knockout mice AipFlox/Flox;Hesx1Cre/+ who develop GH-secreting pituitary tumors with disruption of the reticulin network (detailed description of this animal model will be reported separately). Based on our human data, we hypothesized that these animals will develop pituitary adenomas with significant macrophage infiltration. Immunohistochemical analysis with F4/80 macrophage marker from 15 months old homozygous AipFlox/Flox;Hesx1Cre/+ mice pituitary glands showed a significant increase in the number of infiltrating macrophages as compared to age-matched wild-type mice (P < 0.05) (Fig. 6), similar to AIP-mutation-positive human samples. These results suggest that lack of AIP indeed leads to macrophage infiltration in pituitary tumors.
Discussion
The tumor microenvironment plays a crucial role in the growth and invasion of tumors [7, 8, 10], but this has not been previously studied in aggressive pituitary tumors associated with AIP mutations. Using gene expression profiling of AIPpos human pituitary tumor samples, as well as in vitro and in vivo models, we established that AIPpos tumors have a unique microenvironment strikingly different from that of sporadic pituitary tumors. We identified increased number of tumor-associated macrophages in AIPpos tumors compared to sporadic ones. Similar to human AIPpos tumors, pituitary tumors from Aip-knockout animals exhibit increased macrophage content, suggesting that lack of AIP may be an important part of the molecular pathway leading to macrophage migration in both mouse and human pituitary tumors. Tumor-associated macrophages, typically with characteristics of activated macrophages, are an important component of the tumor microenvironment [22, 23] and correlate with poor prognosis in other tumor types [24]. Direct interactions between macrophages and tumor cells have been documented by multiphoton imaging [15, 25], and macrophages support tumor cell migration and invasion by secreting matrix degrading enzymes, such as plasminogen activator, cathepsin B and D, and matrix metalloproteases (MMP) 2 and 9 [26]. Indeed, MMP2 and MMP9, known to be associated with cavernous sinus invasion [27], were upregulated in AIPpos samples (Table 1). Tumor-associated macrophages are linked with EMT [28, 29], which is present in AIP-deficient samples. MCM-treated GH3-Aip-KD cells undergo numerous changes associated with EMT, such as downregulation of E-cadherin and upregulation of ZEB1, remodeling of the cytoskeleton, and increased motility. However, there was no concomitant upregulation of classical mesenchymal markers, such as N-cadherin and vimentin [30–32] in our microarray data, suggesting a partial/incomplete EMT signature in AIPpos tumors. Partial or incomplete EMT has also been observed in other solid tumors [33]. Partial EMT was also found in some sporadic GH tumors [34], but the protein expression of AIP was not studied. As pituitary tumors locally invade but only very rarely metastasize, the partial EMT phenotype would match this clinical observation.
We saw increased expression of FOXP3+ T-reg cells in AIPpos tumors compared to sporadic adenomas and normal pituitary. FOXP3 is a specific T-reg marker that suppresses anti-tumor immune responses. FOXP3+ T-reg cells are associated with poor prognosis in various cancers [35, 36], and with EMT type tumor cells. Interestingly, CCL5, the cytokine we found overexpressed in AIPpos samples, recruited T-reg cells in a mouse model of pancreatic cancer [37]. Further studies will be needed to reveal the functional role of FOXP3 in pituitary tumors and to see whether CCL5 is indeed involved in recruitment of T-reg cells in AIPpos pituitary tumors.
Ingenuity pathway analysis of the differentially expressed genes of AIPpos, sporadic GH, and normal pituitaries highlighted the EMT pathway as one of the most significantly altered pathways in AIPpos tumors compared to sporadic adenomas. EMT is a highly conserved cellular process in which cells lose cell–cell contact and epithelial characteristics, and gain a motile and invasive mesenchymal phenotype, while mesenchymal-to-epithelial transition participates in the establishment and stabilization of distant metastases. In addition to their key role in development, EMT and mesenchymal-to-epithelial transition are involved with cancer progression. In AIPpos tumors we identified a significant number of altered EMT-associated genes, including epithelial markers (CDH1, CTNNB1, ERSP1, and EPCAM), a transcriptional (ZEB1) and a post-transcriptional regulator (ESRP1), while there were no statistically significant differences between sporadic adenomas and normal pituitaries. Therefore, significant disruption of the EMT pathway in AIPpos tumors may cause their more aggressive phenotype. Gene expression profiling and proteomics studies [38–46] led to the identification of genes associated with invasion and aggressive behavior [42, 47]. Changes in EMT markers have been seen in sporadic somatotroph adenomas with lower E-cadherin and ESRP1 expression [34, 48, 49]. Loss of ESRP1 in ~90% of AIPpos cases indicates that ESRP1 may be an important regulator of tumor invasiveness. GH itself has been suggested to stimulate EMT [50–52]: autocrine/paracrine GH or treatment with GH induces a complete EMT program and significantly up-regulates the classical mesenchymal markers such as N-cadherin and vimentin in some cancers [52–54]. Although high levels of GH raises the possibility that they play a role in the shift towards EMT in somatotroph tumors, not all somatotroph tumors show that EMT and EMT changes were not correlating with GH levels in sporadic somatotrophinomas [34, 48]. Comparison of our AIPpos tumor gene expression profile with that of Aip-knockout mouse embryonic fibroblasts [55] showed only a modest overlap. This could be explained by the different cell types as cAMP is stimulating cell proliferation in some cell types (e.g. adrenal and pituitary) while inhibits in others (e.g. fibroblasts and smooth muscle cells), and by the fact that AIP tumor suppressor role is specific to the pituitary gland.
While incubation with MCM leads to an EMT-like phenotype in both GH3-NT and GH3-Aip-KD cells, the degree of change is significantly different. Cell morphology parameters, EMT markers, and actin changes were more pronounced in GH3-Aip-KD cells, supporting the results on increased migration since in order for cells to invade through the extracellular matrix, filopodia/actin spikes protrude, which are crucial for successful migration/invasion. Media from macrophages stimulated GH3-Aip-KD cells to increase migration and invasion, while this cell type typically grown in complete medium do not show changes in migration/invasion assays [56, 57].
Next, we investigated the role of tumor-derived factors on macrophage recruitment. In the tumor microenvironment tumor cells interact with stromal cells either by cell–cell contacts or via paracrine signals. We hypothesized that tumor-derived chemokines might direct macrophage homing to the tumor microenvironment. We found increased expression of CCL5 in AIPpos tumors compared to the normal pituitary. Interestingly, our in vitro model confirmed these findings as GH3-Aip-KD cells secrete more than twice the amount of CCL5 into the media than GH3-NT cells. Elevated levels of CCL5 are associated with tumor progression in different cancers [58]. CCL5 is involved in the recruitment of monocytes, macrophages, and other inflammatory cells into inflammatory sites via activation of its receptors CCR1, CCR3, CCR4, and mainly CCR5. The CCL5/CCR5 axis plays an important role in the progression of a number of solid tumors (breast, ovarian, gastric, cervical, colorectal, and prostate) [59]. Maraviroc, a CCR5 antagonist initially approved for treatment of HIV infection, inhibits chemotaxis of macrophage and monocyte-derived dendritic cells towards CCL5 [60]. We demonstrated that CCL5-dependent chemotaxis significantly increased macrophage migration towards the GH3-Aip-KD-conditioned media compared to the GH3-NT-conditioned media and disruption of this signaling by maraviroc resulted in 50% reduction of macrophage migration. These results suggest that cells lacking AIP secrete a significant amount of CCL5, which can increase macrophage migration toward these cells and support macrophage migration into the tumor microenvironment, at least partly, by CCL5/CCR5-dependent chemotaxis. We also found upregulation of FLI1, the transcriptional regulator of CCL5, at the gene and protein level in AIPpos tumors [21]. Aberrant expression of FLI1 is associated with hematological malignancies and solid tumors [61–63]. Altered expression of FLI1 is also linked with tumor aggressiveness [63] and poor prognosis [64]. In our study, we have observed higher levels of FLI1 expression with the concomitant upregulation of CCL5 and the increased number of macrophages in human AIPpos tumors, supporting a crucial role for FLI1 and CCL5 in macrophage recruitment. Based on these data, CCL5/CCR5 appears to be a key factor in AIP-mutation-related tumorigenesis.
By identifying a novel regulatory pathway, our study raised further interesting questions. Functional links between AIP, FLI1, and CCL5 or mechanism/s of how AIP silencing stimulates FLI1 and subsequently CCL5 expression remain to be investigated. The role of AIP in immune-related process is interesting, since AIP is a co-chaperone of the aryl hydrocarbon receptor (AHR), a known immune regulator of T helper Th17 cells [65, 66]. Low level of AHR, which is found in AIPpos tumors [67], was found to be associated with EMT via autophagy, as the autophagy marker BNIP3 is inversely related to AHR protein levels [68]. Indeed, we observed a significant upregulation of BNIP3 mRNA in AIPpos tumors.
Limitations of our study include the fact that we used a rat cell line as no human somatotroph pituitary cell line exists. The tumor microenvironment is complex of several cell types which, in addition to macrophages, might affect tumor cell behavior. Here we focused on macrophages, well known to be associated with EMT, but other cell types may also influence EMT in AIPpos tumors. We focused on pro-inflammatory cytokine CCL5 although our microarray data in human samples identified other significantly differentially expressed cytokines, such as TGFB, CCL4, and osteopontin, which will be explored in future studies.
In summary, our results using a unique resource of fresh frozen AIPpos tumors show an altered tumor microenvironment of AIPpos tumors compared to sporadic pituitary adenomas, where tumor-derived factors, such as CCL5, interact with macrophages resulting in increased infiltration, EMT, and more aggressive phenotype. Furthermore, as somatotroph tumors without AIP mutation can also exhibit low AIP protein expression, our findings could be relevant for a significant proportion of patients with somatotrophinomas. Immune infiltrates and EMT signatures might also be useful as biomarkers to stratify patient groups. Our results establish an important novel crosstalk between tumor cells and the surrounding tumor microenvironment and suggest potential targets for therapeutic interventions.
Materials and methods
Pituitary adenoma samples
Fresh frozen AIPpos growth hormone-secreting adenomas (n = 6) and sporadic GH-secreting adenoma (n = 4) (Table S5) were obtained at transsphenoidal surgery. A part of each sample was processed for routine histopathological and immunohistochemical studies, and a part was snap-frozen. Patients with sporadic tumors had no family history of pituitary or other endocrine tumors. Autopsy pituitary samples (n = 5) served as controls. For RT-qPCR validation all the 15 samples used for microarray analysis were included. For immunohistochemistry studies 8 additional AIPpos formalin-fixed paraffin-embedded tissue samples, as well as pituitary tissue microarray consisting of 34 sporadic somatotrophinomas and 13 normal pituitaries were used (Table S6).
Gene expression analysis
Gene expression analysis was performed using Affymetrix Human Gene Chip HG-U133 Plus 2.0 array (Affymetrix, Santa Clara, CA, USA) (Supplementary material). Microarray data have been deposited to the National Centre for Biotechnology Information’s Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo, accession number GSE63357). Ingenuity Pathway Analysis, a web-based application (www.ingenuity.com), was used to analyze pathways and biological functions.
Quantitative reverse transcriptase PCR
The gene-specific primer/probe sets for CDH1, CTNNB1, ESRP1, PERP, EPCAM, and ZEB1 were purchased from Applied Biosystems (ABI, Foster City, CA, USA; Table S7). For details of RT-qPCR methods please see Supplementary Material.
Protein detection
Immunohistochemical staining and immunoblotting was performed and scored as described in Supplementary Material using primary antibodies listed in Table S8.
Cell line and in vitro functional study
We used rat pituitary cell line GH3 cells (obtained from European Collection of Authenticated Cell Cultures at the start of the project) and generated two stable knockdown cell lines, a 50% and an 80% knockdown, and a non-targeting control (GH3-NT) (Supplementary material). The 80% knockdown (GH3-Aip-KD) was used for the experiments unless otherwise stated. Cells were cultured in high glucose DMEM (Sigma, Gillingham, UK) supplemented with 10% heat-inactivated fetal bovine serum (FBS) and 1% penicillin and streptomycin. To collect GH3-conditioned media for ELISA measurement of CCL5 levels, GH3-Aip-KD and GH3-NT cells were seeded in six-well plates (2 × 106), were grown for 24 h in 10% FBS DMEM and, following washing, incubated for 72 h in serum-free DMEM. To collect GH3-conditioned media for macrophage migration assay, cells (5 × 106) were grown for 24 h in 10% FBS DMEM and, following washing, incubated for 72 h in serum-free DMEM for macrophage migration assays as chemoattractant. Functional assays were repeated three times and were performed at least in triplicate.
Isolation and characterization of rat bone marrow-derived macrophages
Macrophages were isolated from rat bone marrow and cultures with granulocyte–macrophage colony-stimulating factor in RPMI with 10% FBS. The expression of macrophage markers CD11b and CD68 was assessed by immunofluorescence analysis (Supplementary material). At day 7 macrophages were treated with 320 nM PMA for 24 h and then media was replaced with 10% RPMI. After 72 h this media was collected and used as conditioned medium (MCM) for the subsequent analysis.
MTS cell proliferation and colony formation assays were performed as described previously [4]. Cell shape analysis, invasion assay, generation of Aip knockout mice, and statistical analysis are described in Supplementary material.
Study approval
The study was approved by the Ethics Committee and patients gave written informed consent.
Supplementary information
Acknowledgements
We are grateful for all patients agreeing to take part in the study, colleagues for referral of patients and collection of samples, in particular Arial Barkan (Ann Arbor, USA), Steven Hunter, Brian Herron (Belfast, Northern Ireland), Joan Grieve, and Neil Dorward (London, UK). We are grateful for Juan-Pedro Martinez-Barbera (University College London) for providing the HesxCre animals. We are grateful to Fran Balkwill (London, UK) for her guidance for this study and to Mike Allen for the help with the preparation of macrophages.
Funding
This work was supported by the Medical Research Council (MR/M018539/1 to MK), Wellcome Trust (Clinical Training fellowship 097970/Z/11/Z to CES), Fundación Alfonso Martin Escudero Fellowship (to FC), Rosetrees Trust (M505 to MK and CG-M), Barts and the London Charity (to PM and MK) and Pfizer UK (WS 733753 to MK).
Author contributions
SB designed, performed, analyzed the study, and written the manuscript. EC, DMB, and FR scored the IHC sections; EG and CC analyzed the microarray data; AS, MH, FC, and CG-M generated the mouse model; PM helped with the clinical data; CES contributed to generating the GH3-Aip-KD cell line and performed MTS and colony formation assays; ABG provided critical input; OH and TC-J helped with the macrophage study; and MK designed the study and written the manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
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Supplementary information
The online version of this article (10.1038/s41388-019-0779-5) contains supplementary material, which is available to authorized users.
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