Abstract
Glioma is one of the most lethal tumours and common malignant in the central nervous system (CNS), which exhibits diffuse invasion and aggressive growth. Several studies have reported the association of FDPS to tumour development and progression. However, the role of FDPS in progression of glioma and macrophage recruitment is not well‐elucidated. In the current study, a remarkable enhancement in FDPS level was observed in glioma tissues and associated with poor prognosis, contributed to tumour growth. FDPS was correlated with macrophage infiltration in glioma and pharmacological deletion of macrophages largely abrogated the oncogenic functions of FDPS in glioma. Mechanistically, FDPS activated Wnt/β‐catenin signalling pathway and ultimately facilitates macrophage infiltration by inducing CCL20 expression. In conclusion, overexpressed FDPS exhibits an immunomodulatory role in glioma. Therefore, targeting FDPS may be an effective therapeutic strategy for glioma.
Keywords: CCL20, FDPS, glioma, TAMs, Wnt/β‐catenin
1. INTRODUCTION
Glioma is one of the most malignant tumours in brain, which accounting for the majority of brain cancer‐related deaths. Gliomas include astrocytomas, oligodendrogliomas and glioblastoma multiforms (GBM), which were classified as grade I‐IV based on histological characteristics and genetic changes. 1 , 2 Although standard therapies include radiotherapy and concomitant, maximum safe surgical resection and maintained temozolomide (TMZ) chemotherapy, the prognosis of glioma patients stills poor and almost all patients inevitably relapse. 3 , 4 In particular, the median survival time of glioma patients is still about 1 year, and the 5‐year overall survival rate is less than 5%. 5 , 6 Therefore, it is particularly important to further explore the mechanisms underlying glioma development and to seek new approaches to treat glioma.
An enzyme of mevalonate pathway, farnesyl diphosphate synthase (FDPS) is expressed at high levels in glioma and several other cancers. 7 Among the genes of mevalonate pathway, the recurrence and aggressiveness of glioma was seen to be closely related to FDPS. 8 Furthermore, FDPS was found to be one of the highest differentially expressed genes when a global RNA sequencing analysis of glioma tissues was carried out, and correlated with progress, advancement and recurrence of glioma. 9 Being a pleiotropic enzyme, FDPS catalyses the reaction between dimethylallyl pyrophosphate and isopentenyl pyrophosphate, and leads to the production of FDP (farnesyl diphosphate) and geranyl diphosphate. 10 FDPS has a crucial part in protein prenylation and CBS (cholesterol biosynthesis). 11 In the process of posttranslational modification, the farnesyl group is transferred from FDP to small GTPases including Ras, Rab, Rac, Rap1α and Rho proteins, and the reaction is catalysed by FTase (farnesyl transferase) enabling them in anchoring to membranes and signalling pathways of the cell. 12 For several decades, mevalonate pathway enzymes (including FDPS) were examined for their role in cellular physiology, although, their role in various cancers including glioma remains elusive. 13
Several characteristics of glioma, such as metastasis and tumour angiogenesis are modulated by TAMs (tumour‐associated macrophages). 14 The two primary phenotypes exhibited by TAMs include M1 and M2, which normally exert contrasting outcomes on advancement of the tumour. 15 The macrophages M1 have been long established to be activated macrophages, polarized by IFN‐γ (interferon‐γ) and LPS (lipopolysaccharide). 16 They express IL‐1β (interleukin‐1β), IL‐12 and cytotoxic substances such as iNOS (inducible nitric oxide synthase). 17 Contrarily, macrophages M2 are alternatively activated macrophages, polarized in the presence of IL‐4, IL‐10 or IL‐13. 18 They express IL‐6 and IL‐10, and angiogenic factors like VEGF (vascular endothelial growth factor). 19 Infiltration of M2 at high levels is related to poor prognosis in patients of glioma. 20 , 21 While the microenvironment of the tumour regulates differentiation of TAMs to M1 or M2 phenotypes, the polarization of macrophages is regulated by several microenvironment signals gained from tumour cells. 22 , 23
In the current study, we evaluated the dysregulated FDPS expressed by glioma cells and uncover its oncogenic functions in glioma. Our results indicated that FDPS is up‐regulated in glioma tissues compared with normal tissues and that FDPS overexpression promotes glioma proliferation and TAMs recruitment by regulating CCL20. Pathway analysis illustrated that Wnt/β‐catenin signalling pathway is involved in CCL20 induction and TAMs recruitment in glioma. Together, our results suggest that FDPS is a novel target for overcoming chemoresistance in glioma.
2. MATERIALS AND METHODS
2.1. Cell lines and regents
The human glioma cell lines U87, U251, H4, A172 and U118 cells were procured from ATCC (American Type Culture Collection, Manassas, VA, USA). Glioma cells maintained in RPMI‐1640 medium were then cultures in DMEM from Gibco BRL (Grand Island, NY, USA). NHAs (Normal human astrocytes) were procured from Lonza (Basel, Switzerland) and cultured as per supplied instructions. Each medium was augmented with FBS (foetal bovine serum, 10%). The cells were then further kept with 5% CO2 at 37°C.
2.2. Tissue specimens
Glioma fresh tissues and normal tissues adjacent to the tumours were collected from The Third Hospital of Jilin University from 2015 to 2017. Survival rate analysis was collected from 40 patients at The Third Hospital of Jilin University from 2013 to 2017. All included patients provided informed consent, and the Ethics Committee of The Third Hospital of Jilin University approved this study.
2.3. Immunohistochemistry
Immunohistochemistry was conducted as per a previous protocol. 24 Briefly, slides were kept overnight for antibody incubation at 4°C and then assessed by two independent pathologists who were blinded for the study. For validation, the criteria for scoring was as previously described. 25 The expression of FDPS was scored and categorized into four grades based on intensity of staining (0, 1+, 2+ and 3+) as well as the share of FDPS‐positive cells in percentage: 0 (0%‐10%), 1 (10%‐29%), 2 (30%‐59%) and 3 (>60%). Then, the scores of these two parameters, which ranged from 0 to 9, were multiplied to obtain a final staining score. To further analyse, weakly stained and negative FDPS cases were consolidated into one group and were contrasted with glioma cases that were moderately and strongly FDPS‐positive.
2.4. Assays for in vitro migration, invasion and proliferation
The determination of cell proliferation was done by colony formation assay, Cell‐Light EdU (EdU DNA Cell Proliferation) assay from Ribobio (Guangzhou, China), MTS assay from Promega (Madison, WI, USA). The cell invasion and migration were assessed through transwell and wound healing assays and were carried out as described.
2.5. The lentivirus constructs
The constructs of shRNA against FDPS (CCAGCAGTGTTCTTGCAATAT) and scrambled sequences (CCTAAGGTTAAGTCGCCCTCG) were procured from GenePharma, Shanghai (China). Three‐plasmid system (pPACKH1‐REV, pPACKH1‐GAG and pVSV‐G) were used to produce lentiviral particles which were packaged in 293T cells using Lipofectamine 3000 from Invitrogen (Carlsbad, CA, USA) as per instructions of the manufacturer. Infection of cells with recombinant lentivirus‐transducing units (1 × 106) was done along with 6 μg/mL polybrene (Sigma‐Aldrich, St. Louis, MO, USA). The uninfected cells were eliminated and the mass population of puromycin‐resistant cells expressing the shRNAs were obtained by treatment of cells with puromycin (2 μg/mL; Gibco) after infection (24 hours) and continued for one week. Then Western blotting was done to assess the knockdown efficiency of FDPS.
2.6. Western blotting
Western blotting was performed as previously research. 26 , 27 Briefly, from the 10 cm plates, cell lysates were collected using a buffer for total protein extraction (Beyotime, Shanghai, China) in presence of inhibitors of proteinase and phosphatase (EDTA, 1 mmol/L; sodium pyrophosphate, 10 mmol/L; sodium orthovanadate, 1 mmol/L; NaF, 100 mmol/L; aprotinin, 10 units/mL; leupeptin, 10 mg/mL; PMSF, 1 mmol/L) and BCA Protein Assay Kit from Pierce Biotechnology (Rockford, IL, USA) was used to determine protein concentration. SDS‐PAGE was done to separate the proteins which were then transferred to PVDF membranes supplied by Millipore (Burlington, MA, USA). The blocking of non‐specific binding was done for 1 hour by 5% non‐fat dried milk in TBST (Tris‐buffered saline with Tween‐20) at room temperature. Then overnight probing of membrane with primary antibodies was done at 4°C. After giving three washes in TBST, secondary antibodies specific for species (Thermo Fisher Scientific, Waltham, MA, USA) were added to the membranes, incubated and the detection was done on the imaging system Odyssey from LI‐COR Biosciences (Lincoln, NE, USA). The primary antibodies used are list as follows: FDPS (Invitrogen, #PA5‐28228), claudin‐1 (Invitrogen, #51‐9000), N‐cadherin (Invitrogen, #33‐3900), vimentin (Invitrogen, #PA1‐10003), E‐cadherin (Cell Signaling Technology (Danvers, MA, USA), #3195), cyclin D1 (Cell Signaling Technology, #2978), c‐Myc (Cell Signaling Technology, #5605), β‐catenin (Cell Signaling Technology, #8480), p‐β‐catenin (Cell Signaling Technology, #4176), β‐actin (Sigma‐Aldrich, A5441).
2.7. Real‐time PCR
Real‐time PCR was performed as previously studies. 28 , 29 Briefly, cells were given one PBS wash, and using Trizol reagent (Takara, Japan), total RNA was extracted and reversely transcribed using RT‐PCR kit PrimeScript from Takara (Japan) as per instructions of the manufacturer. SYBR Premix Ex Taq from Takara (Japan) was used for real‐time quantitative PCR analysis on a 7500 Real‐time PCR system from Applied Biosystems (USA) at the following recommended settings of the thermal cycler: one initial cycle at 95°C for 10 minutes; 40 cycles of 5 seconds at 95°C and 30 seconds at 60°C. Then, the 2−ΔΔ Ct method was used to determine the relative mRNA expression and the values were normalized to mRNA levels of β‐actin. Primers are list in Table 1.
TABLE 1.
Forward | Reverse | |
---|---|---|
FDPS | 5′‐GTGCTGACTGAGGATGAGATG‐3′ | 5′‐GCTCGATCAGGTTCAGGTAATAG‐3′ |
CSF‐1 | 5′‐ATGACAGACAGGTGGAACTGCCAG‐3′ | 5′‐TCACACAACTTCAGTAGGTTCAGG‐3′ |
TGF‐β | 5′‐CCCAGCATCTGCAAAGCTC‐3′ | 5′‐GTCAATGTACAGCTGCCGCA‐3′ |
IL‐4 | 5′‐TCGGCATTTTGAACGAGGTC‐3′ | 5′‐GAAAAGCCCGAAAGAGTCTC‐3′ |
IL‐6 | 5′‐CCAGCTATGAACTCCTTCTC‐3′ | 5′‐GCTTGTTCCTCACATCTCTC‐3′ |
IL‐8 | 5′‐GTGCAGTTTTGCCAAGGAGT‐3′ | 5′‐TTATGAATTCTCAGCCCTCTTC‐3′ |
IL‐13 | 5′‐GAGTGTGTTTGTCACCGTTG‐3′ | 5′‐TACTCGTTGGTCGAGAGCTG‐3′ |
VEGF | 5′‐TGCAGATTATGCGGATCAAACC‐3′ | 5′‐TGCATTCACATTTGTTGTGCTGTAG‐3′ |
CCL2 | 5′‐AGAATCACCAGCAGCAAGTGTCC‐3′ | 5′‐TCCTGAACCCACTTCTGCTTGG‐3′ |
CCL20 | 5′‐CTGGCTGCTTTGATGTCAGT‐3′ | 5′‐CGTGTGAAGCCCACAATAAA‐3′ |
CCL24 | 5′‐TAGAGGGCTCTTGGTCACA‐3′ | 5′‐GTCCTCCAGGTCCATTCATTAC‐3′ |
CXCL2 | 5′‐TCCTCAATGCTGTACTGGTCC‐3′ | 5′‐ATGTTCTTCCTTTCCAGGTC‐3′ |
CXCL5 | 5′‐CTCAGTCATAGCCGCAACCGAGC‐3′ | 5′‐CGCTTCTTTCCACTGCGAGTGC‐3′ |
MIF | 5′‐CTCTCCGAGCTCACCCAGCAG‐3′ | 5′‐CGCGTTCATGTCGTAATAGTT‐3′ |
HGF | 5′‐GCACCGTCAAGGCTGAGAAC‐3′ | 5′‐ATGGTGGTGAAGACGCCAGT‐3′ |
cyclin D1 | 5′‐CTTCCTCTCCAAAATGCCAG‐3′ | 5′‐AGAGATGGAAGGGGGAAAGA‐3′ |
MMP7 | 5′‐AAACTCCCGCGTCATAGAAAT‐3′ | 5′‐TCCCTAGACTGCTACCATCCG‐3′ |
c‐Myc | 5′‐TGAGGAGACACCGCCCAC‐3′ | 5′‐CAACATCGATTTCTTCCTCATCTTC‐3′ |
β‐catenin | 5′‐ACAAACTGTTTTGAAAATCCA‐3′ | 5′‐CGAGTCATTGCATACTGTCC‐3′ |
β‐actin | 5′‐TGGAATCCTGTGGCATCCATGAAAC‐3′ | 5′‐AAAACGCAGCTCAGTAACAGTCCG‐3′ |
2.8. Clone formation assay
In each 6‐well plate, suspension of single‐cell was plated at 1000 cells density. Every three days, the replacement of the culture medium was done. After 14 days, fixation and staining of clones were done with 0.1% crystal violet/40% methanol and colonies with more than fifty cells were enumerated under a microscope.
2.9. Macrophage depletion assay
The mice were kept under specific conditions that were pathogen‐free as per institutional guidelines. The Ethics Committee of The Third Hospital of Jilin University approved of the animal studies and procedures. Liposomes (PBS and Clodronate) were procured from Sigma. Briefly, intraperitoneal injection of clodronate liposomes (1.4 mg/20 g bodyweight) or PBS liposomes (an equivalent volume) were given to BALB/c mice two times per week until 5th week. At week 2, C57BL/6 mice were injected with 5 × 105 ov‐FDPS or ov‐vector GL261 cells.
2.10. ELISA analysis of CCL20
Cells were given one PBS wash and incubated with medium without FBS for 24 hours. Supernatants of cells were collected, centrifuged and immediately used. The normalization of supernatant amount to cell number was done. The CCL20 ELISA kits (Sigma) were used as per instructions of the manufacturer.
2.11. Tumour mouse model
The Jackson Laboratory supplied the Female NSG mice (4 to 6‐weeks old) which were then kept in a specific environment free of pathogens. The Animal Care Committee of The Third Hospital of Jilin University approved of the protocols and all processes were carried out as per the institutional guidelines. Subcutaneous inoculation of 5 × 105 cells (n = 6/group) in 100 μL PBS was done into the nude mice. Vernier calipers were used to determine tumour size and the tumour volume of tumour was calculated as per the formula: length × (width)2 × 1/2. After 19 days, mice were checked for tumour formation.
2.12. Statistical analysis
Graphpad prism 5 software was used for all analyses (P < 0.05 was statistically significant). For the mean values of the two groups, the statistical significance was assessed using the two‐tailed unpaired t test.
3. RESULTS
3.1. FDPS is highly expressed in glioma tissues
The expression levels of FDPS were analysed in 40 paraffin‐embedded archived glioma tissues using immunohistochemistry (IHC). The results showed that FDPS levels were elevated in tumour tissues compared with the corresponding adjacent non‐tumour tissues, with strong staining of FDPS detected in 60% of the glioma tissues (Figure 1A). The FDPS mRNA and protein levels were higher than those of corresponding adjacent non‐tumour samples by real‐time PCR and Western blotting (Figure 1B,C). We next evaluated the association of the increased FDPS expression with clinicopathologic features in 40 glioma samples with IHC data. Kaplan‐Meier survival analysis showed that patients with glioma and overexpression of FDPS in their tumours exhibited decreased overall survival compared with those with low expression of FDPS in their tumours (Figure 1D). Taken together, these results suggest that overexpression of FDPS was frequently detected in glioma.
3.2. Glioma cell growth is regulated by FDPS
We next assessed the oncogenic role of FDPS in glioma, by carrying out Western blotting to examine the expression of FDPS in NHAs cells and in other glioma cell lines (H4, U87, U118, U251 and A172). The FDPS was observed in much lower levels in NHAs cells compared to that in glioma cell lines (Figure 2A,B). When the five glioma cell lines were compared, the highest FDPS expression was seen in U251 and U87 cells, while the lowest level was observed in A172 and H4 cells. Hence, we chose A172 and H4 cells for overexpression of FDPS and U251 and U87 cells for the knockdown of FDPS. Then, FDPS overexpression in A172 and H4 cells and FDPS knockdown in U251 and U87 cells were established. FDPS protein levels in glioma cells were confirmed through Western blotting (Figure 2C; Figure S1A). The knockdown of FDPS lowered cell proliferation to little extent (Figure S2B,C) and caused a decline in EdU‐positive cell percentage (Figure S2D), while overexpression of FDPS facilitated the glioma cell growth (Figure 2D‐F). Likewise, silencing FDPS displayed fewer and smaller colonies in clonogenic assay, whereas overexpression of FDPS augmented clonogenicity (Figure 2G; Figure S2E).
We further examined the association between FDPS and growth of tumour in a xenograft model to extrapolate the in vitro outcomes. Figure 2H,I shows decreased proliferative capacity at the site of implantation of the tumours from U87‐shFDPS cells than controls. Finally, the average tumour weight and volume decreased significantly in shFDPS group (Figure 2H,I). Down‐regulation of FDPS was confirmed by Western blotting in the shFDPS tumours (Figure 2J). Moreover, the tumour cell Ki‐67 percentage score in shFDPS group decreased relatively in comparison to that in shcon group (Figure 2K). Thus, these results indicate that FDPS regulates glioma proliferation.
3.3. FDPS promotes glioma migration and invasion in vitro
Next, we investigated the activity of FDPS in promoting migration and invasion in vitro. The transwell and wound healing assays showed that FDPS promoted invasion and migratory capability in A172 and H4 cells (Figure 3A,C). While, knockdown FDPS suppressed migration and invasion in glioma U87 and U251 cells (Figure 3B,D).
The role of EMT (epithelial‐mesenchymal transition) in facilitating cancer cells with invasive and metastatic properties is well‐document, in addition to its vital part in progression of tumours. In this study, we found knockdown of FDPS enhanced the expression of epithelial markers (claudin‐1 and E‐cadherin), but repressed levels of mesenchymal markers (vimentin and N‐cadherin) in U87 and cells. Contrarily, overexpression of FDPS had an opposite effect on A172 and H4 cells (Figure 3E,F). Thus, FDPS exerts a significant role in glioma invasion and migration.
3.4. FDPS promotes tumour growth in a macrophage‐dependent manner
To demonstrate whether the oncogenic roles of FDPS in glioma are macrophage‐dependent, we investigated the susceptibility of macrophages to liposomal clodronate treatment. To address this issue, we overexpressed FDPS in a mouse glioma cell line GL261, which showed faint FDPS protein expression. The overexpression efficiency is shown in Figure 4A. Next, we performed syngeneic mouse model with FDPS‐overexpressing and control cell lines injected in the C57BL/6 mice. For 2 weeks, the mice were given clodronate liposomes or phosphate‐buffered saline (PBS) liposomes pre‐treatment and additional three weeks treatment following tumour cell injection. The clodronate liposomal treatment was adequate to decrease the number of F4/80+ macrophages in tumour of C57BL/6 mice (Figure 4B,C). Meanwhile, we also noticed more macrophage infiltration in FDPS‐overexpressing group in comparison to the control group (Figure 4B,C). Our findings also revealed that increased tumour burden induced by FDPS‐overexpressing was largely attenuated in mice that underwent liposomal clodronate treatment (Figure 4D), suggesting that the tumour‐promoting effects of FDPS in glioma, at least in part, are mediated by macrophage infiltration in the tumour microenvironment.
3.5. CCL20 mediate the promoting role of FDPS in macrophage infiltration
To identify the chemokines regulated by FDPS that promote macrophage infiltration, the chemokine profiles of CM from shcon and shFDPS U87 cells were analysed using real‐time PCR. CCL20 was significantly decreased in the CM of shFDPS cells compared with shcon cells (Figure 5A). Real‐time PCR showed that FDPS knockdown drastically inhibited the mRNA level of CCL20 in U251 cells (Figure 5B). ELISA assay further confirmed the reduction of CCL20 in the CM of shFDPS cells and FDFS overexpression cells (Figure 5C,D). To further investigate the role of CCL20 in FDPS‐mediated macrophage infiltration, we treated the mice bearing control or FDPS‐overexpressing tumour with CCL20 neutralizing antibody. As shown in Figure 5E,F, CCL20 neutralizing antibody treatment decreased FDPS‐induced tumour growth and macrophage infiltration. Together, we conclude that CCL20 is required for FDPS‐mediated macrophage infiltration in glioma.
3.6. FDPS enhances Wnt/β‐catenin signalling
Next, we observed that FDPS knockdown in U87 cells remarkably lowered transcript and protein levels of the components of Wnt/β‐catenin signalling pathway, such as cyclin D1, β‐catenin, MMP7 and c‐Myc (Figure 6A,B). However, exogenous FDPS expression elevated transcript and protein levels of cyclin D1, β‐catenin, MMP7 and c‐Myc (Figure 6C,D). These findings support that FDPS activates the Wnt/β‐catenin signalling pathway, and FDPS knockdown suppresses the signalling pathway of Wnt/β‐catenin. For more robust argument, we evaluated the level of the which mediates target gene activation, the active form of β‐catenin and observed significantly decrease in activated β‐catenin when FDPS was knocked down and elevated when FDPS in glioma cells, where it was ectopically expressed (Figure 6E,F). The effect of FDPS on signalling activity of β‐catenin was also estimated via the TOP/FOP Flash assay, a well‐established reporter assay of dual‐luciferase TCF/β‐catenin. The TOP Flash reporter contains TCF‐responsive sites, whereas the FOP Flash reporter, is a negative control, and harbours mutated TCF binding sites. When we depleted FDPS, TOP Flash luciferase activity declined significantly, while exogenous FDPS enhanced the TCF reporter transactivation (Figure 6G,H). Thus, FDPS plays a significant role as a positive regulator of oncogenic function of Wnt/β‐catenin.
3.7. Wnt/β‐catenin pathway is responsible for CCL20 expression
Next, to evaluate the dependence of Wnt/β‐catenin in chemokine production, A172 and H4 cells were treated with the small‐molecule Wnt/β‐catenin inhibitor XAV‐939. As expected, XAV‐939 led to Wnt/β‐catenin suppression and significantly reduced the transcript and protein level of CCL20 in both two cell lines (Figure 7A‐D). Additionally, ectopic expression of constitutively active β‐catenin largely attenuated the decreased CCL20 level induced by FDPS inhibition (Figure 7E,F).
To decipher the FDPS‐Wnt/β‐catenin‐CCL20 axis in vivo, we performed immunohistochemistry analysis in the tumour tissues from syngeneic mouse model. As a result, we found that FDPS knockdown significantly reduced CCL20 protein expression in subcutaneous xenograft model, while overexpression of FDPS remarkably promoted CCL20 protein levels in syngeneic tumour tissues (Figure 7G,H). At the same time, low p‐β‐catenin level was found in FDPS knockdown xenograft tumours, as well as, overexpression of FDPS increased the p‐β‐catenin expression in syngeneic tumours (Figure 7I,J). Moreover, XAV‐939 treatment reduced FDPS‐mediated tumour growth and macrophage infiltration (Figure 7K,L). Therefore, Wnt/β‐catenin activation is necessary for the induction of inflammatory chemokine expression induced by FDPS.
4. DISCUSSION
In this study, we found that FDPS is overexpressed in glioma compared with corresponding normal tissues. We also identified FDPS, which regulated the microenvironment of tumour and thus has a significant part in the tumour progression of glioma. FDPS activated CCL20 expression by activating Wnt/β‐catenin signalling pathway. Moreover, FDPS‐induced CCL20 modulated the tumour microenvironment through TAMs infiltration in glioma tissues. Thus, the current observations impart better insight into the translational mechanisms of the modulation of the tumour microenvironment mediated by FDPS that advances the tumour progression of glioma.
As a branch point enzyme, FDPS (Farnesyl Diphosphate Synthase) is involved in sterols and isoprenylated cellular metabolites synthesis. 11 It exhibits immunoregulatory functions, and its expression and activity have been also studied in human certain other neoplastic disorders and glioma. 9 Certainly, high levels of FDPS mRNA along with of the transcripts of isoprenoid pathway genes have been associated with poor prognosis and decreased survival rate in a six microarray datasets meta‐analysis of primary breast cancers. 30 The H‐ras and K‐ras transformed FRTL5 thyroid cells and FDPS, exhibited enhanced FDPS expression in cooperation with H‐RAS oncogene, and exhibited potential for neoplastic transformation in primary embryo fibroblast rat cells. 31
Researchers indicated that TAMs are one of the M2‐like macrophages because of their high expression of anti‐inflammation marker genes, including IL‐10 (interleukin‐10) and IL‐1Rα (IL‐1 receptor alpha), which contribute highly towards growth of tumour and subsequent development. 32 The monocytes are recruited by primary TAMs by secreting chemotactic factors CCL2, ‐5, ‐7, as well as CXCL8 and ‐12 which can be polarized to M2‐like phenotype with the stimulation of IL‐4, IL‐6, IL‐10, IL‐13 and TGF‐β (transforming growth factor‐beta). 16 , 33 , 34 Furthermore, tumour‐promoting growth factors from TAMs, like EGF (epidermal growth factor), also facilitate to formation of vascular tissues and modulate immune response. 20 , 35 In this process, the synthesis of MMPs (matrix metalloproteinase) which significantly affect angiogenesis is regulated by VEGF (vascular endothelial growth factor), PDGF (platelet derived growth factor), FGF (fibroblast growth factor) and TGF‐β. 36 , 37 TAMs have a There is a special period of transition of TAMs from M1‐ to M2‐like phenotype, indicating that they do not just belong to M1‐ or M2‐like phenotype throughout the progression of tumour. 38 In the initial stage of tumour formation, TAMs exhibit M1‐like and then transform to the M2‐like phenotype. 21
Next, we uncovered that FDPS is closely associated with macrophage infiltration in glioma. The infiltration of immune cells is, among other events, of great importance for antitumour immune response, and is known to have a strong impact on the outcome of human cancers. 39 In human cancers macrophages are an important component of the leucocyte infiltrate and play a major role in orchestrating the cancer‐related inflammation. 40 Tumour‐derived factors stimulated the recruitment and differentiation of macrophages. 41 In this study, FDPS expression correlates with the majority of gene signatures related to macrophages and are closely associated with macrophage density, suggesting the tumour‐promoting effects of FDPS in glioma might be linked to the macrophage infiltration. There is a strong association between increased macrophage density and poor prognosis. Macrophages can suppress Th1 cell and antitumour cytotoxic T lymphocyte responses, contribute to matrix remodelling and facilitating tumour cell migration and invasion and promote tumour angiogenesis and growth. 42 In line with this, we showed that deletion of macrophages by liposomal clodronate largely compromises the growth‐promoting effects of FDPS in syngeneic model, suggesting that the oncogenic roles of FDPS in glioma are largely dependent on macrophages.
In conclusion, our study showed that dysregulated neurotransmitter receptor FDPS promotes cancer aggressiveness and correlates macrophage infiltration in glioma and provides a new insight into the roles of neurotransmitter receptor in immune modulation. These findings above demonstrate that point towards the FDPS/Wnt/β‐catenin/CCL20/macrophage axis as potential therapeutic target in glioma.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
AUTHOR CONTRIBUTION
Zhuo Chen: Investigation (equal); Project administration (equal). Guangyong Chen: Data curation (equal); Investigation (equal). hang zhao: Conceptualization (equal); Investigation (equal); Project administration (equal).
Supporting information
ACKNOWLEDGEMENTS
None.
Chen Z, Chen G, Zhao H. FDPS promotes glioma growth and macrophage recruitment by regulating CCL20 via Wnt/β‐catenin signalling pathway. J Cell Mol Med. 2020;24:9055–9066. 10.1111/jcmm.15542
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1. Hanif F, Muzaffar K, Perveen K, Malhi SM, Simjee SHU. Glioblastoma multiforme: a review of its epidemiology and pathogenesis through clinical presentation and treatment. Asian Pac J Cancer Prev. 2017;18:3‐9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Wood MD, Halfpenny AM, Moore SR. Applications of molecular neuro‐oncology – a review of diffuse glioma integrated diagnosis and emerging molecular entities. Diagn Pathol. 2019;14:29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Taylor OG, Brzozowski JS, Skelding KA. Glioblastoma multiforme: an overview of emerging therapeutic targets. Front Oncol. 2019;9:963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Shergalis A, Bankhead A 3rd, Luesakul U, Muangsin N, Neamati N. Current challenges and opportunities in treating glioblastoma. Pharmacol Rev. 2018;70:412‐445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Khan MN, Sharma AM, Pitz M, et al. High‐grade glioma management and response assessment‐recent advances and current challenges. Curr Oncol. 2016;23:e383‐e391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Chang JH, Kim CY, Choi BS, Kim YJ, Kim JS, Kim IA. Pseudoprogression and pseudoresponse in the management of high‐grade glioma : optimal decision timing according to the response assessment of the neuro‐oncology working group. J Korean Neurosurg Soc. 2014;55:5‐11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Wang X, Sun T, Sun J, et al. Molecular cloning, characterisation, and heterologous expression of farnesyl diphosphate synthase from Sanghuangporus baumii . Mol Biotechnol. 2020;62:132‐141. [DOI] [PubMed] [Google Scholar]
- 8. Fei Y, Li N, Zhang DH, Xu JW. Increased production of ganoderic acids by overexpression of homologous farnesyl diphosphate synthase and kinetic modeling of ganoderic acid production in Ganoderma lucidum . Microb Cell Fact. 2019;18:115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Kim HY, Kim DK, Bae SH, et al. Farnesyl diphosphate synthase is important for the maintenance of glioblastoma stemness. Exp Mol Med. 2018;50:1‐12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Abate M, Laezza C, Pisanti S, et al. Deregulated expression and activity of farnesyl diphosphate synthase (FDPS) in glioblastoma. Sci Rep. 2017;7:14123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Seshacharyulu P, Rachagani S, Muniyan S, et al. FDPS cooperates with PTEN loss to promote prostate cancer progression through modulation of small GTPases/AKT axis. Oncogene. 2019;38:5265‐5280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Shamma A, Takegami Y, Miki T, et al. Rb regulates DNA damage response and cellular senescence through E2F‐dependent suppression of N‐ras isoprenylation. Cancer Cell. 2009;15:255‐269. [DOI] [PubMed] [Google Scholar]
- 13. Dozier JK, Distefano MD. An enzyme‐coupled continuous fluorescence assay for farnesyl diphosphate synthases. Anal Biochem. 2012;421:158‐163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Chen Y, Song Y, Du W, Gong L, Chang H, Zou Z. Tumor‐associated macrophages: an accomplice in solid tumor progression. J Biomed Sci. 2019;26:78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Lee C, Jeong H, Bae Y, et al. Targeting of M2‐like tumor‐associated macrophages with a melittin‐based pro‐apoptotic peptide. J Immunother Cancer. 2019;7:147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Pal R, Chakraborty B, Nath A, et al. Noble metal nanoparticle‐induced oxidative stress modulates tumor associated macrophages (TAMs) from an M2 to M1 phenotype: an in vitro approach. Int Immunopharmacol. 2016;38:332‐341. [DOI] [PubMed] [Google Scholar]
- 17. Madeddu C, Gramignano G, Kotsonis P, et al. Microenvironmental M1 tumor‐associated macrophage polarization influences cancer‐related anemia in advanced ovarian cancer: key role of interleukin‐6. Haematologica. 2018;103:e388‐e391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Zhang MZ, Wang X, Wang Y, et al. IL‐4/IL‐13‐mediated polarization of renal macrophages/dendritic cells to an M2a phenotype is essential for recovery from acute kidney injury. Kidney Int. 2017;91:375‐386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Zhang L, Xu Y, Sun J, et al. M2‐like tumor‐associated macrophages drive vasculogenic mimicry through amplification of IL‐6 expression in glioma cells. Oncotarget. 2017;8:819‐832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Zeng XY, Xie H, Yuan J, et al. M2‐like tumor‐associated macrophages‐secreted EGF promotes epithelial ovarian cancer metastasis via activating EGFR‐ERK signaling and suppressing lncRNA LIMT expression. Cancer Biol Ther. 2019;20:956‐966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Ding L, Liang G, Yao Z, et al. Metformin prevents cancer metastasis by inhibiting M2‐like polarization of tumor associated macrophages. Oncotarget. 2015;6:36441‐36455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. M. de‐Brito N, Duncan‐Moretti J, C. da‐Costa H, et al. Aerobic glycolysis is a metabolic requirement to maintain the M2‐like polarization of tumor‐associated macrophages. Biochim Biophys Acta Mol Cell Res. 2020;1867:118604. [DOI] [PubMed] [Google Scholar]
- 23. Chen XJ, Wu S, Yan RM, et al. The role of the hypoxia‐Nrp‐1 axis in the activation of M2‐like tumor‐associated macrophages in the tumor microenvironment of cervical cancer. Mol Carcinog. 2019;58:388‐397. [DOI] [PubMed] [Google Scholar]
- 24. He K, Chen D, Ruan H, et al. BRAFV600E‐dependent Mcl‐1 stabilization leads to everolimus resistance in colon cancer cells. Oncotarget. 2016;7:47699‐47710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Rizzardi AE, Johnson AT, Vogel RI, et al. Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring. Diagn Pathol. 2012;7:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Tong J, Tan S, Nikolovska‐Coleska Z, Yu J, Zou F, Zhang L. FBW7‐dependent Mcl‐1 degradation mediates the anticancer effect of Hsp90 inhibitors. Mol Cancer Ther. 2017;16:1979‐1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Tong J, Tan S, Zou F, Yu J, Zhang L. FBW7 mutations mediate resistance of colorectal cancer to targeted therapies by blocking Mcl‐1 degradation. Oncogene. 2017;36:787‐796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Tong J, Zheng X, Tan X, et al. Mcl‐1 phosphorylation without degradation mediates sensitivity to HDAC inhibitors by liberating BH3‐only proteins. Cancer Res. 2018;78:4704‐4715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Tong J, Wang P, Tan S, et al. Mcl‐1 degradation is required for targeted therapeutics to eradicate colon cancer cells. Cancer Res. 2017;77:2512‐2521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Ehmsen S, Pedersen MH, Wang G, et al. Increased cholesterol biosynthesis is a key characteristic of breast cancer stem cells influencing patient outcome. Cell Rep. 2019;27:3927‐3938.e6. [DOI] [PubMed] [Google Scholar]
- 31. Ginsberg J, Gupta S, Matowe WC, Kline L, Brindley DN. Activation of phospholipase D in FRTL‐5 thyroid cells by forskolin and dibutyryl‐cyclic adenosine monophosphate. Endocrinology. 1997;138:3645‐3651. [DOI] [PubMed] [Google Scholar]
- 32. Almatroodi SA, McDonald CF, Darby IA, Pouniotis DS. Characterization of M1/M2 tumour‐associated macrophages (TAMs) and Th1/Th2 cytokine profiles in patients with NSCLC. Cancer Microenviron. 2016;9:1‐11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Nakanishi Y, Nakatsuji M, Seno H, et al. COX‐2 inhibition alters the phenotype of tumor‐associated macrophages from M2 to M1 in ApcMin/+ mouse polyps. Carcinogenesis. 2011;32:1333‐1339. [DOI] [PubMed] [Google Scholar]
- 34. Shao XJ, Xiang SF, Chen YQ, et al. Inhibition of M2‐like macrophages by all‐trans retinoic acid prevents cancer initiation and stemness in osteosarcoma cells. Acta Pharmacol Sin. 2019;40:1343‐1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Lian G, Chen S, Ouyang M, Li F, Chen L, Yang J. Colon cancer cell secretes EGF to promote M2 polarization of TAM through EGFR/PI3K/AKT/mTOR pathway. Technol Cancer Res Treat. 2019;18:1533033819849068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Chanmee T, Ontong P, Konno K, Itano N. Tumor‐associated macrophages as major players in the tumor microenvironment. Cancers. 2014;6:1670‐1690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Solinas G, Germano G, Mantovani A, Allavena P. Tumor‐associated macrophages (TAM) as major players of the cancer‐related inflammation. J Leukoc Biol. 2009;86:1065‐1073. [DOI] [PubMed] [Google Scholar]
- 38. Mantovani A. La mala educacion of tumor‐associated macrophages: diverse pathways and new players. Cancer Cell. 2010;17:111‐112. [DOI] [PubMed] [Google Scholar]
- 39. Fridman WH, Galon J, Dieu‐Nosjean MC, et al. Immune infiltration in human cancer: prognostic significance and disease control. Curr Top Microbiol Immunol. 2011;344:1‐24. [DOI] [PubMed] [Google Scholar]
- 40. Pages F, Galon J, Dieu‐Nosjean MC, Tartour E, Sautes‐Fridman C, Fridman WH. Immune infiltration in human tumors: a prognostic factor that should not be ignored. Oncogene. 2010;29:1093‐1102. [DOI] [PubMed] [Google Scholar]
- 41. Lee HW, Choi HJ, Ha SJ, Lee KT, Kwon YG. Recruitment of monocytes/macrophages in different tumor microenvironments. Biochim Biophys Acta. 2013;1835:170‐179. [DOI] [PubMed] [Google Scholar]
- 42. Muraille E, Leo O, Moser M. TH1/TH2 paradigm extended: macrophage polarization as an unappreciated pathogen‐driven escape mechanism? Front Immunol. 2014;5:603. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.