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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: Clin Cancer Res. 2016 Jun 8;22(21):5337–5348. doi: 10.1158/1078-0432.CCR-15-2973

Inhibition of SOAT1 suppresses glioblastoma growth via blocking SREBP-1-mediated lipogenesis

Feng Geng 1,#, Xiang Cheng 1,#, Xiaoning Wu 1, Ji Young Yoo 2, Chunming Cheng 1, Jeffrey Yunhua Guo 1, Xiaokui Mo 3, Peng Ru 1, Brian Hurwitz 2, Sung-Hak Kim 4, Jose Otero 5, Vinay Puduvalli 2, Etienne Lefai 6, Jianjie Ma 7, Ichiro Nakano 4, Craig Horbinski 8, Balveen Kaur 2, Arnab Chakravarti 1, Deliang Guo 1,*
PMCID: PMC5093025  NIHMSID: NIHMS795274  PMID: 27281560

Abstract

Purpose

Elevated lipogenesis regulated by sterol regulatory element-binding protein-1 (SREBP-1), a transcription factor playing a central role in lipid metabolism, is a novel characteristic of glioblastoma (GBM). The aim of this study was to identify effective approaches to suppress GBM growth by inhibition of SREBP-1. As SREBP activation is negatively regulated by endoplasmic reticulum (ER) cholesterol, we sought to determine whether suppression of sterol O-acyltransferase (SOAT), a key enzyme converting ER cholesterol to cholesterol esters (CE) to store in lipid droplets (LDs), effectively suppressed SREBP-1 and blocked GBM growth.

Experimental Design

The presence of LDs in glioma patient tumor tissues was analyzed using immunofluorescence, immunohistochemistry and electronic microscopy. Western blotting and real-time PCR were performed to analyze protein levels and gene expression of GBM cells, respectively. Intracranial GBM xenografts were used to determine the effects of genetically silencing SOAT1 and SREBP on tumor growth.

Results

Our study unraveled that cholesterol esterification and LD formation are signature of GBM, and human patients with glioma possess elevated LDs that correlate with GBM progression and poor survival. We revealed that SOAT1 is highly expressed in GBM and functions as a key player in controlling the cholesterol esterification and storage in GBM. Targeting SOAT1 suppresses GBM growth and prolongs survival in xenograft models via inhibition of SREBP-1-regulated lipid synthesis.

Conclusions

Cholesterol esterification and storage in LDs are novel characteristics of GBM, and inhibiting SOAT1 to block cholesterol esterification is a promising therapeutic strategy to treat GBM by suppressing SREBP-1.

Keywords: SREBP-1, lipogenesis, cholesteryl ester, lipid droplets, SOAT1, glioblastoma

Introduction

Emerging evidence demonstrates that lipid metabolism undergoes reprogramming in cancer cells (1-3). Identifying key aspects of lipid metabolism that are specifically engaged in tumorigenesis provides a new strategy to treat malignancies. However, our understanding of how lipid metabolism is regulated in tumor cells is incomplete. Our previous studies have revealed that sterol regulatory element-binding protein-1 (SREBP-1), a membrane-bound transcription factor with a central role in lipid metabolism, is highly activated in glioblastoma (GBM) (4-7), a lethal primary brain tumor (8). Our studies also indicated that SREBP-1 may be a potential therapeutic target in malignancies (4, 5, 9).

There are three SREBP isoforms. SREBP-1a and -1c with a difference of around 20 amino acids in their N-terminus mainly regulate fatty acid synthesis, and SREBP-2 controls cholesterol synthesis (10-12). Under physiologic conditions, SREBP activity is tightly regulated by a negative feedback loop trigged by endoplasmic reticulum (ER) membrane cholesterol (2, 10). Recent reports show that even as low as 5% elevation of ER cholesterol significantly inhibits SREBP function (10, 13). Therefore, the approach to enhance ER cholesterol might be an effective therapeutic strategy to suppress GBM growth via inhibition of SREBP-1.

Interestingly, in addition to activating negative feedback loop to reduce lipid synthesis, cells have developed another layer of mechanism to prevent cholesterol accumulation in the ER membrane. When ER cholesterol increases, cells can esterify it with fatty acid to form cholesteryl esters (CE) and sequestrate them into lipid droplets (LDs). This happens through the activity of the ER-resident sterol O-acyltransferase (SOAT), also named as acyl-CoA:cholesterol acyltransferase (ACAT) (14, 15). SOAT1 is ubiquitously expressed in most cell types and tissues, whereas SOAT2 is mainly present in fetal liver and intestine cells and rarely in other tissues (16-18).

Our previous studies revealed that SREBP-1 activity remains high in GBM cells, even though lipids like cholesterol are also high (4, 5, 7, 19). This raises the question as to how GBM cells could evade high levels of cholesterol-induced negative feedback inhibition and maintain SREBP activity (4, 5). A plausible explanation is that they might convert excess cholesterol to CE for storage in LDs, thus prevent the initiation of feedback inhibition on SREBP activation. In this study, we investigated whether LDs and CE are formed in glioma patient tumor tissues, and then determined whether blocking cholesterol esterification via inhibition of SOAT1 is an effective therapeutic approach to suppress SREBP-1 and inhibit GBM growth.

Materials and Methods

Reagents and chemicals

Antibodies for ACC (Acetyl-CoA Carboxylase) (#3676), FASN (Fatty Acid Synthase) (#3180) and SCD1 (Stearoyl-CoA Desaturase 1) (#2438) were purchased from Cell Signaling (Danvers, MA). Antibody for β-actin (#A1978), paraformaldehyde (#P6148), glutaraldehyde solution (#G5882), G418 disulfate salt (#A1720), puromycin dihydrochloride (#P8833), Triton X-100 (#T8787), human EGF (#E9644), Heparin (#H3393), puromycin dihydrochloride (P8833) and Triton X-100 (#T8787) were purchased from Sigma (St. Louis, MO). Cholesterol assay kit (A12216), Lipofectamine RNAiMAX (#13778), Alexa Fluor 488 goat anti-rabbit IgG (#A-11034), Alexa Fluor 568 Goat Anti-Rabbit IgG (#A-11036), Neurobasal medium (#21103-049) and B-27 Supplement (50×)/minus vitamin A (#12587-010) were purchased from Life Technologies (Grand Island, NY). Recombinant Human FGF basic 145 aa (#4114-TC-01M) was purchased from R&D (Minneapolis, MN). X-tremeGENE HP DNA Transfection Reagent (#06366236001) was purchased from Roche (Indianapolis, IN). Antibody for LDLR (LDL Receptor) (#ab30532) and TIP47 (Perilipin 3) (#ab47638) were purchased from Abcam (Cambridge, MA). Antibody for SREBP-1 (Sterol regulatory element-binding protein 1) (#557036) was purchased from BD (Franklin Lakes, NJ). OCT (#23730571) and sucrose (#BP220212) were purchased from Fisher Scientific (Pittsburgh, PA). Antibodies for SOAT1 (sterol O-acyltransferase 1) (#sc-69836) and PDI (Oxidoreductase-protein disulfide isomerase) (#sc-30932, H-17), and SREBP-2 shRNA lentivirus (sc-36559-V) were purchased from Santa Cruz Biotechnology (Dallas, TX). Adenovirus expressing SREBP-1c (N-terminal fragment amino acid 1-461) was produced and amplified as described previously (20).

GBM patient biopsies

Glioma patient biopsies were obtained from the Department of Pathology at OSU Medical Center after surgery and fixed in 4% Paraformaldehyde for 24 hr. One half of biopsy was embedded in paraffin and the second half was incubated with 30% sucrose for 24 hr, embedded in OCT. Cryosections derived from the latter were stained by BODIPY 493/503 (#D-3922, Life Technologies, Grand Island, NY) or TIP47 antibody. The study of GBM patient tissues has been approved by OSU Institutional Human Care and Use Committee.

Glioma tissue microarray

Glioma tissue microarray (TMA), containing over 109 clinical patient samples from the University of Kentucky, was used to analyze TIP47 by immunofluorescent staining (see details in Fig. 1, Table 1). Two separate areas from each patient sample were included in this TMA. After antigen retrieval, sections were incubated with TIP47 antibody followed by fluorescence labeled secondary antibody, and then photographed using a Zeiss LSM510 Meta confocal microscopy with 63× /1.4 NA oil objective. Five images in each core were captured, and 1 μm wide z-stacks acquired. TIP47 puncta were analyzed via ImageJ software (NIH) in a 3D stack, and showing as average of TIP47 puncta/nucleus. Institutional Research Board approval was obtained at UK prior to study initiation.

Figure 1. Lipid droplets are signature of GBM and inversely correlates with patient survival.

Figure 1

A-B, Representative confocal microscopy images of cryosections of tissue biopsies from glioma patients (A) or from primary GBM169 orthotopic mouse model (B) stained with BODIPY 493/503 (green) and DAPI (blue) (upper panels). Tumor tissues were also stained by H&E (lower panels). Abbreviations, A2: grade II astrocytoma; GBM: glioblastoma; O2: grade II oligodendroglioma. Scale bar, 10 μm for fluorescence imaging, 50 μm for H&E staining. C-D, Representative electron micrographs of tumor tissues from GBM patients (C), or primary GBM88 orthotopic xenograft mouse model (D). E, Representative fluorescent microscopy images of GBM patient tissues and U251 cells stained with BODIPY 493/503 (green), TIP47 antibody (red) and DAPI (blue). Scale bar, 10 μm. F-G, Representative images of tissue samples from a tissue microarray (TMA), containing low to high grade of glioma patient samples (over 100 patients) and details please see Supplemental Table 1, stained by TIP47 (red) and DAPI (blue) (F). Data shown in panel G represent dot blot of quantification of LDs/cell in each sample in the TMA. LDs stained by TIP47 in each patient sample were quantified by ImageJ software and analyzed by GraphPad Prism and one-way ANOVA, P < 0.0001 (G). Scale bar, 10 μm for fluorescence imaging, 50 μm for H&E staining. PA, pilocytic astrocytoma; AA, anaplastic astrocytoma (grade III); AO, anaplastic oligodendroglioma (grade III). H, Kaplan-Meier analysis of overall survival of GBM patients stratified on the basis of LD number in each clinical sample. The mean of LD number in total GBM patients is 11 LDs/cell. Patients with more than this number were grouped as high LD group (n = 17), less than this number as low LD group (n = 25). GBM patient survival between low and high LDs was analyzed by log-rank test, p = 0.0069.

Table 1. Lipid droplets in glioma patient tissues and overall survival.

Two separate areas from each patient in TMA were stained by TIP47 or Ki67 antibody and imaged by confocal or light microscopy. The number of LDs or Ki67 positive percentage was quantified by ImageJ software or Immunoratio, an online publically available application (49). Five images were taken from each tissue and averaged. Control dysplasia is a disorganized piece of brain tissue that was causing seizures, but it is neither cancerous nor precancerous. The term “dysplasia” represents something very different in neuropathology compared to elsewhere in the body.

ID# age at surgery Gender initial diagnosis LDs/cell Ki67 positive% OS (months)

6 51 F dysplasia 0.00 0.2 64.5
13 35 M dysplasia 0.00 0.3 35.2
24 41 M dysplasia 0.00 0.1 102.1
33 7 F dysplasia 0.00 0.6 50.1
42 36 M dysplasia 0.00 0.0 32.3
60 50 M dysplasia 0.00 0.5 20.2
70 34 M dysplasia 0.00 0.2 109.7
103 22 M dysplasia 0.00 0.1 31.4
107 26 M dysplasia 0.00 0.4 33.6
86 18 F PA 0.00 0.7 90.5
93 15 M PA 0.00 1.2 70.2
15 26 F A2 0.23 0.5 42.5
57 24 M A2 0.04 2.3 144.8
69 32 M A2 0.00 1.7 63.5
77 29 M A2 0.00 0.3 74.7
85 38 M A2 0.00 0.2 82.6
88 41 M A2 0.00 2.2 85.7
95 45 F A2 0.00 2.5 20.3
101 73 M A2 0.07 0.6 57.5
105 26 F A2 0.00 1.8 6.8
7 27 M A2-3 0.10 1.4 60.2
23 25 M A2-3 0.23 2.3 41.0
10 59 M AA 0.30 1.7 21.1
12 50 F AA 1.21 1.0 82.3
41 49 F AA 0.66 1.9 39.1
46 39 F AA 0.00 10.2 41.6
59 48 F AA 0.00 4.6 100.5
79 29 M AA 0.17 9.8 26.5
98 36 M AA 1.93 19.6 30.0
100 42 F AA 0.01 2.0 26.8
104 23 M AA 0.00 6.4 14.5
5 80 F GBM 4.10 18.5 15.7
9 54 M GBM 5.72 0.9 3.3
11 63 M GBM 14.41 5.7 19.3
21 62 M GBM 1.63 9.3 4.8
22 72 M GBM 16.20 11.5 8.3
25 67 M GBM 0.00 3.0 4.2
26 54 M GBM 23.37 16.9 23.7
28 46 M GBM 49.08 4.4 0.3
30 59 M GBM 11.33 9.8 14.5
34 53 M GBM 1.75 4.5 0.9
35 64 F GBM 36.19 22.1 15.6
38 50 F GBM 12.18 26.7 2.0
39 62 F GBM 3.25 6.7 29.3
43 51 F GBM 2.89 15.1 21.1
44 67 F GBM 0.39 4.8 0.5
45 56 M GBM 4.52 2.5 35.6
48 74 F GBM 5.82 6.6 15.1
49 62 M GBM giant cell 5.83 13.3 72.9
52 50 F GBM 3.21 3.9 43.7
54 42 M GBM 0.91 8.7 13.3
56 64 M GBM 16.93 6.8 6.0
58 51 M GBM 12.54 10.5 8.0
65 67 M GBM 0.16 7.1 10.9
66 77 M GBM 0.56 2.4 18.1
67 31 M GBM 2.25 13.2 71.5
68 79 M GBM 8.74 6.3 2.2
71 59 F GBM 8.31 14.8 8.2
76 62 F GBM 3.16 4.6 20.3
80 59 M GBM 24.42 10.7 9.3
81 76 F GBM 17.91 20.0 8.4
82 78 F GBM 5.84 9.2 0.9
83 76 M GBM 0.02 4.9 30.8
84 56 M GBM 1.48 6.5 7.5
87 69 M GBM 28.55 12.4 2.3
89 56 M GBM 1.22 3.3 17.8
90 72 F GBM 7.09 6.2 30.4
94 26 F GBM 13.94 4.2 5.1
96 64 F GBM 12.51 11.1 9.3
102 44 F GBM 18.04 2.2 4.0
106 70 M GBM 19.69 22.4 8.9
108 72 F GBM 0.50 2.6 26.7
109 42 M GBM 55.41 27.6 2.6
8 26 M O2 0.00 0.5 49.4
14 37 M O2 0.03 1.2 53.1
16 31 M O2 1.50 3.0 91.7
18 35 M O2 0.15 0.6 97.3
20 38 M O2 0.02 0.7 30.6
32 25 M recurrent O2 5.22 1.8 82.9
36 38 M O2 0.00 1.8 29.2
37 45 F O2-3 0.00 2.6 66.6
50 27 F O2 0.13 1.3 36.4
62 42 M O2 0.00 1.9 64.4
63 31 F O2 0.00 1.3 52.2
64 32 F O2 0.00 1.6 60.8
72 58 M O2 0.10 3.7 89.2
73 27 M O2 0.08 1.4 98.2
91 40 F O2 4.16 2.0 52.2
92 27 M O2 0.00 1.8 83.3
99 65 M O2 0.00 1.4 59.2
2 62 F AO 3.91 4.8 60.8
4 56 F AO 0.00 3.0 0.4
29 51 M AO 12.24 18.6 4.5
31 32 M AO 3.83 0.8 46.4
40 57 M AO 6.39 6.7 15.1
47 32 F AO 0.30 1.7 138.5
51 44 M AO 0.40 2.5 15.3
53 49 M AO 0.30 2.7 29.0
61 25 M progressed to AO 1.45 11.8 82.9
78 37 F recurrent AO 0.45 9.0 145.0

H&E staining

Paraffin tissue sections were deparaffinized in xylene and rehydrated in degraded ethanol, respectively. After washing with dH2O, slides were stained with hematoxylin and eosin solution in sequence followed by being washed with dH2O. Then slides were dehydrated in degraded ethanol and immersed in xylene followed by mounting in Permount.

GBM cell lines

Human GBM cell lines U87, U87 stably expressing EGFRvIII, a constitutively active mutant of EGFR (U87/EGFRvIII) (5, 21), T98 and U251 were cultured in Dulbecco's modified Eagle's medium (DMEM, Corning Incorporated, NY) supplemented with 5% FBS (Gemini Bio-Products, CA) in a humidified atmosphere of 5% CO2, 95% air at 37°C. GBM169, GBM88 and GBM30, primary GBM patient-derived cells and have been described previously (22-24), were cultured in neurobasal medium supplemented with B27 (1×), Heparin (2 μg/ml), EGF (20 ng/ml) and FGF (20 ng/ml) in a humidified atmosphere of 5% CO2, 95% air at 37°C. Human astrocyte cells were maintained in Geltrex® matrix (#A1413202, Life Technologies) coated plates with DMEM supplemented with 1% of N-2 (#17502-048, Life Technologies) and 10% of One Shot™ format FBS (#16000-077, Life Technologies) at 37°C in a humidified atmosphere of 5% CO2.

Lipid droplet staining and quantification

Lipid droplets were stained by incubating cells with 0.5 μM BODIPY 493/503 (Life Technologies, Grand Island, NY) for 30 min and visualized by confocal microscope (Carl Zeiss LSM510 Meta, 63×/1.4 NA oil) and 1 μm wide z-stacks acquired. More than 30 cells in each group were analyzed and particle numbers quantified with ImageJ software (NIH) in a 3D stack (25).

Immunofluorescent microscopy

Cells were cultured and treated on glass cover slip, washed with PBS twice and fixed with 4% paraformaldehyde/0.025% glutaraldehyde for 10 min followed by 5 min of permeabilization with 0.1%Triton X-100/PBS. After incubation with primary antibody overnight at 4°C, cells were incubated with fluorescence labeled secondary antibody for 30 min at 37°C, then stained with 0.5 μM BODIPY 493/503 for 30 min and mounted with antifade reagent with DAPI (#P36935, Life Technologies, Grand Island, NY) and visualized with confocal microscope.

Transmission electronic microscopy (TEM)

Tissues were fixed in 2.5% glutaraldehyde/0.1M phosphate buffer, pH 7.4 for 10 min, and then further cut into pieces that are less than 1 mm cube followed by fixation for overnight at 4°C. After fixation in 1% osmium tetroxide/phosphate buffer for 1 hr, tissue pieces were stained with 2% uranyl acetate/10% ethanol for 1 hr, followed by dehydration in upgraded ethanol. The tissues were finally embedded in Eponate 12 resin. Ultra-thin sections (70 nm) were produced on a Leica EM UC6 ultramicrostome and stained with 2% uanly acetate and Reynold's lead citrate. TEM was performed on a FEI Tecnai G2 Spirit TEM at 80 kV. Images were captured using an AMT 2×2 digital camera. These experiments were performed at the OSU Microscopy Core Facility.

Immunohistochemistry (IHC)

Tissue sections were cut from paraffin blocks of GBM patient biopsies at 5 μm. The tissue slides were melted in oven at 60°C for 30 min, and then deparaffinized by xylenes 3 times for 5 min each followed by dipping in graded alcohols (100%, 95%, 80% and 70%) 3 times for 2 min each. Slides were washed with distilled water (dH2O) 3 × 5 min, and then immersed in 3% Hydrogen Peroxide for 10 min followed by being washed thoroughly with dH2O. Slides were transferred into pre-heated 0.01M Citrate buffer (pH 6.0) in a steamer for 30 min, and then washed with dH2O and PBS after cooling. Slides were blocked with 3% BSA/PBS for 1 hr at room temperature, and then incubated with primary antibody overnight at 4°C, followed by incubation with secondary antibody for 30 min at room temperature. After incubation with avidin-biotin ABC complex (#PK-4000, Vector labs, Burlingame, CA) followed by PBS wash 3 × 5 min and staining with DAB solution (#SK-4105, Vector labs, Burlingame, CA), slides were washed thoroughly with tap water, counterstained with hematoxylin (#H-3401, Vector labs, Burlingame, CA) and dipped briefly in graded alcohols (70%, 80%, 95% and 100%), in xylenes 2 × 5 min. Finally slides were mounted and imaged.

Quantitative Real-time PCR

Total RNA was isolated from cells with TRIZOL (#15596, Life Technologies, Grand Island, NY) according to the manufacturer's instruction and cDNA was synthesized with iScript™ cDNA Synthesis Kit (#170-8891, Bio-Rad, Hercules, CA). Quantitative real-time PCR was performed with iQ™ SYBR® Green Supermix (#170-8882, Bio-Rad, Hercules, CA) using the Applied Biosystems (ABI, it was merged into Life Technologies) 7900HT Real-Time PCR System. Results were normalized to the 36B4 housekeeping gene and calculated with the comparative method (2−ΔΔCt). Primers for 36B4: 5′- AATGGCAGCATCTACAACCC-3′ (forward) and 5′- TCGTTTGTACCCGTTGATGA-3′ (reverse). SOAT1: 5′-CCACTGGTCCAGATGAGTTTAG-3′ (forward) and 5′-GGGAACATGCAGAGTACCTTT-3′ (reverse).

Preparation of cell membrane fractions

Cell membrane were isolated as described previously (26). Briefly, cells were washed once with PBS, scraped into 1 ml PBS, and centrifuged at 1000× g for 5 min at 4°C. Cells were resuspended in an ice-cold buffer containing 10 mM HEPES-KOH (pH 7.6), 10 mM KCl, 1.5 mM MgCl2, and 1 mM sodium EDTA, 1 mM sodium EGTA, 250 mM sucrose and a mixture of protease inhibitors, 5 μg/ml pepstatin A (#P5318), 10 μg/ml leupeptin (#L2884), 0.5 mM PMSF (#P7626), 1 mM DTT (#43819), and 25 μg/ml ALLN (#A6185), which are all purchased from Sigma, for 30 min on ice. Extracts were then passed through a 22G × 1 1/2 needle 30 times and centrifuged at 890× g at 4°C for 5 min to isolate nuclei. Supernatant was used for the separation of membrane fractions.

The supernatant from the original 890× g spin was centrifuged at 20,000× g for 20 min at 4°C. For subsequent western blot analysis (for SOAT1 protein), the pellet was dissolved in 0.1 ml of SDS lysis buffer (10 mM Tris-HCl pH 6.8, 100 mM NaCl, 1% (v/v) SDS, 1 mM sodium EDTA, and 1 mM sodium EGTA) and designated “membrane fraction”. The membrane fraction was incubated at 37°C for 30 min, and protein concentration was determined. 1 μl 100× bromophenol blue solution was added before the samples were subjected to SDS-PAGE (26).

Western blot

Cultured cells were lysed using RIPA buffer (#NC9484499, Fisher Scientific, Pittsburgh, PA) containing phosphatase inhibitor (#04906845001) and protease inhibitor cocktail (#11836170001) (Roche, Indianapolis, IN) and 1 mmol/L phenylmethanesulfonyl fluoride. Equal amounts of protein extracts were separated by using 10% or 12% SDS-PAGE, and transferred onto a Hybond ECL nitrocellulose membranes (#RPN3032D, GE Healthcare, Pittsburgh, PA). After blocking for 1 hr in a Tris-buffered saline containing 0.1% Tween 20 and 5% nonfat milk, the membranes were probed with various primary antibodies, followed by secondary antibodies conjugated to horseradish peroxidase. The immunoreactivity was revealed by use of an ECL kit (#RPN2106, Amersham Biosciences Co., NJ).

Cholesterol esters measurement

Cells were washed with PBS twice and collected by scraping and centrifugation at 1,000 rpm for 10 min. The cell pellets were re-suspended in Isopropanol/1% Triton X-100 for 1 hr at room temperature. After centrifugation at 12,000 rpm for 10 min, the supernatants were transferred into glass tubes and dried under nitrogen. Cholesterol and CE measurement were performed following the instruction manual of the cholesterol assay kit (Life Technologies, Grand Island, NY).

Lentiviral transduction

Mission pLKO.1-puro lentivirus vector containing SOAT1 shRNA (TRCN0000234512), SREBP-1 shRNA (TRCN0000414192) and the non-mammalian shRNA control (SHC002) were purchased from Sigma. 293FT cells were transfected with shRNA vector and packing plasmids pCMV-R8.74psPAX2 and the envelope plasmid pMD2.G using the polyethylenimine (#23966, Polysciences, Warrington, PA). The supernatant was collected at 48 hr and concentrated using the Lenti-X Concentrator (#631232, Clontech, Mountain View, CA) according to the protocol. The lentiviral transduction was performed according to Sigma's MISSION protocol with polybrene (8 μg/mL; # H9268, Sigma).

Cell proliferation

1-2 × 104 cells were seeded in 12-well plates, and washed after 24 hr with PBS followed by changing to fresh medium with 5% FBS. Cells were counted at indicated time point using a hemocytometer, and dead cells were assessed using trypan blue exclusion assays (#15250-061, Life Technologies, Grand Island, NY).

Intracranial mouse model and survival

Female athymic nude mice (6–8 weeks of age obtained from National Cancer Institute) were used to generate intracranial xenograft models. 1 × 105 cells in 4 μl of PBS were stereotactically implanted into mouse brain. Mice were then observed until they became moribund, at which point they were sacrificed. All animal procedures were approved by the Subcommittee on Research Animal Care at Ohio State University Medical Center.

Mice luminescent imaging

Mice implanted with cells expressing luciferase were injected with Luciferin (#122796, Perkin Elmer, Waltham, MA) solution (15 mg/ml in PBS, dose of 150 mg/kg) by an intraperitoneal route that is allowed to distribute in awake animals for about 5-15 min. The mice were placed into a clear Plexiglas anesthesia box (2.0-3.0% isoflurane) that allows unimpeded visual monitoring of the animals; animals were then placed on non-fluorescent black paper on the imaging platform of an IVIS Lumina II to reduce background noise. The imaging chamber is continuously infused with 1-1.5% of isoflurane, and imaging platform is heated at 37°C to keep the mice warm. Animals were imaged 10 min after Luciferin injection to ensure consistent photon flux (9). This imaging experiment was conducted at OSU Small Animal Imaging Core.

Lipid Synthesis Assay

Cells were seeded in 12-well plate. After 24 hr, cells were changed to FBS free medium containing 2 mM glucose (#G8644, Sigma) and 2 mM glutamine (#25030-081, Life Technologies) for 2 hr, then 0.5 μCi 14C-glucose (#NEC042V250UC, Perkin Elmer) was added into media for 2 hr. Cells were washed with PBS twice, and lipids were extracted with 0.5 ml of Hexane/Isopropanol (3:1) for 1 hr at room temperature and dried. The lipids were dissolved in 200 μl of chloroform and measured by Scintillation Counter (LS6500, Beckman Coulter, INC., Indianapolis, IN).

Statistical analysis

Statistical analysis was performed with Excel and GraphPad Prism5. Cell proliferation, tumor volumes, and quantification of LDs in TMA were performed using the unparied Student's t test as well as by one-way ANOVA, as appropriate. Kaplan-Meier plot was used for analysis of patient and mice overall survival (significance was analyzed by log-rank test). p<0.05 was considered statistically significant.

Results

LDs are elevated in GBM and inversely correlate with patient survival

To determine whether cholesterol esterification and LDs exist in GBM, fluorescent lipid dye BODIPY 493/503 (27) was used to stain biopsy samples obtained from human glioma patients. We observed that LDs were highly prevalent in GBM patient tissues, but infrequently present in WHO grade II-III gliomas and undetectable in adjacent normal brain tissues (Fig. 1A). Elevated LDs were also observed in primary GBM169 orthotopic mouse glioma model, a GBM patient-derived xenograft model (Fig. 1B). The presence of LDs was confirmed by transmission electron microscopy (TEM) in tumor tissues from GBM patients (Fig. 1C, red arrow) and in primary human GBM88 orthotopic tumors implanted in nude mice (Fig. 1D, red arrow). In contrast, LD-like structures were not observed in normal brain tissues (Fig. 1D).

To examine the correlation between the prevalence of LDs and the grades of glioma tumors, we analyzed a tissue microarray (TMA) containing more than 100 glioma patient biopsy tissues (Table 1). TIP47, a protein marker of LD membrane (25), was shown to co-localize with BODIPY 493/503-stained LDs in GBM patient tumor tissues (Fig. 1E, top panel) and also in a variety of cancer cell lines (Fig. 1E, bottom panel and Supplementary Fig. S1). These data demonstrate that TIP47 staining detected LDs in GBMs and cell lines. We then quantified the number of TIP47-positive LDs in human patients with various grades of glioma (Fig. 1F and Table 1). Statistical analysis revealed that TIP47-stained LDs were predominantly present in GBM patient tissues (11 ± 12.8 LDs/cell), moderately present in anaplastic oligodendroglioma (AO, 2.9 ± 3.9), infrequently present in grade II oligodendroglioma (O2, 0.67 ± 1.57) and grade II (A2, 0.04 ± 0.08) to III astrocytoma (AA, 0.48 ± 0.68), and LDs were not detectable in grade I pilocytic astrocytoma (PA) and control dysplasia brain tissues (p < 0.0001, one-way ANOVA) (Fig. 1G and Table 1). By analyzing clinical data and LD numbers for each patient, we found that higher LD prevalence (i.e. more than the overall mean) inversely correlated with overall survival of GBM patients (p = 0.0069, log-rank) (Fig. 1H). Moreover, we stained Ki67 in these patient tissues (Supplementary Fig. S2A, S2B and Table 1) and analyzed the correlation between Ki67 positive percentage and LD number in GBM patient tumor tissues. The data show a significant correlation between LD number and Ki67 positive percentage in GBM patients (Supplementary Fig. S2C). Collectively, our data demonstrate that LDs are a new feature of GBM, and correlate with its aggressive behavior.

Inhibition of cholesterol esterification via targeting SOAT1 blocks LD formation

Since CE is a major component of LDs (14) and SOATs are essential enzymes for CE synthesis (28), we sought to determine SOAT protein level and its correlation with LD formation in glioma patient tumor tissues. As shown in Fig. 2A, SOAT1, examined by immunohistochemistry (IHC) (bottom panel), was highly expressed in tumor tissues from GBM patients, but much lower in low grade glioma patient samples and normal brain tissues (Supplementary Fig. S3A), which were correlated with the prevalence of LDs in glioma patient tissues (middle panel). In contrast, SOAT2 was not detectable in GBM patient tumor tissues (Supplementary Fig. S3B). These data are consistent with previous reports from other groups (16-18), showing that SOAT2 is highly expressed only in fetal liver and intestine, and modestly in the HepG2 cell line, but rarely in other tissues. We compared the gene expression levels of SOAT1 and SOAT2 and SOAT2 protein expression in HepG2 and GBM cell lines by using real-time PCR analysis and western blot. As shown in Supplementary Fig. S3C and S3D, the expression level of SOAT1 was similar to HepG2 and GBM cell lines. However, SOAT2 level was extremely lower in GBM cells and its protein was not detectable in GBM cells. Moreover, we analyzed SOAT1 and SOAT2 gene expression in ciBioPortal and TCGA database in glioma patients and across different cancer types (29, 30). The data show that SOAT1 is highly expressed in GBM and all cancer types. In contrast, SOAT2 is rarely expressed in GBM and the majority of cancer types, except liver cancer (high expression) and testicular germ cell cancer (modest expression) (Supplementary Fig. S3E, S3F). Thus, SOAT1, but not SOAT2, may play a central role for CE synthesis and LD formation in GBM tumor tissues.

Figure 2. Inhibition of cholesterol esterification via targeting SOAT1 blocks LD formation.

Figure 2

A, human tissues from glioma patients were stained by H&E (upper panel), BODIPY 493/503 (green)/DAPI (blue) (middle panel) or immunohistochemistry (IHC) via using SOAT1 antibody (lower panel). Scale bar, 50 μm for H&E (upper panel) and IHC staining (lower panel), 10 μm for fluorescence imaging (middle panel). B, Relative SOAT1 gene expression analyzed by real-time RT-PCR (upper panel) and its protein level analyzed by western blot (lower panel) in different GBM cell lines and GBM30, primary GBM patient-derived cells, infected with shRNA-expressing lentivirus against SOAT1 for 48 hr. Significance for gene expression (upper panel) was determined by an unpaired Student's t test (mean ± SD, n = 3). *p < 0.001. SOAT1 protein was detected from membrane extracts of GBM cells (please see details in Materials and Methods). Protein disulfide-isomerase (PDI), an ER-resident protein, was used as internal control. C-D, Top panels show representative live confocal microscopy images of indicated GBM cells knocked down for SOAT1 (48 hr) (C) or treated with SOAT inhibitor avasimibe (10 μM) for 24 hr (D), after staining by BODIPY 493/503 (green) and Hoechst 33342 (nuclear, blue). Scale bar, 10 μm. Bottom represents quantification of LDs/cell quantified by ImageJ software in over 30 cells (mean ± SEM, n = 30), and relative CE levels measured by CE measuring kit (mean ± SD, n=3), respectively. Significance was determined by an unpaired Student's t test.

We then examined whether SOAT1 controls cholesterol esterification and storage in GBM cells. We used shRNA lentivirus to knock down the expression of SOAT1 in multiple GBM cell lines and primary GBM30 cells. As shown in Fig. 2B and Supplementary Fig. S4A, both mRNA and protein of SOAT1 were markedly reduced after knockdown for 48 hr. Confocal imaging revealed that knockdown of SOAT1 markedly reduced CE levels and diminished LD formation in GBM cells (Fig. 2C and Supplementary Fig. S4B). Likewise, pharmacologic inhibition of SOAT1 by avasimibe, a clinically tested SOAT inhibitor (31-33), also markedly reduced CE levels and blocked LD formation in GBM cells (Fig. 2D and Supplementary Fig. S4C). Interestingly, cellular cholesterol levels were not significantly enhanced by knockdown of SOAT1 or avasimibe treatment (Supplementary Fig. S5), suggesting the tight control of cholesterol homeostasis via negative feedback loop (13). Taken together, our data strongly demonstrate that SOAT1 plays a critical role in regulating CE synthesis and LD formation in GBM.

Inhibition of SOAT1 suppresses GBM growth via blocking SREBP-1-regulated fatty acid synthesis pathway

We then asked whether inhibition of cholesterol esterification, via inhibition of SOAT1, affected tumor growth. We found that pharmacological inhibition of SOAT by avasimibe markedly inhibited GBM cell growth in a dose-dependent manner, but no obvious inhibitory effects in normal human astrocyte (Fig. 3A), consistent with the prior reports in cell culture (34, 35). To further verify that SOAT1 plays a key role in GBM growth, we knocked down SOAT1 and measured cell viability in various GBM cell lines. The U87/EGFRvIII and primary GBM30 cells constitutively expressing luciferase were used to monitor orthotopic xenograft growth by using luminescent imaging (36). Consistent with higher expression of SOAT1 in GBM (Fig. 2A), the data show that knockdown of SOAT1 significantly reduced GBM cell viability in vitro (Fig. 3B), markedly slowed down orthotopic U87/EGFRvIII and GBM30 tumor growth (Fig. 3C), and significantly prolonged the overall survival of intracranial GBM-bearing mice in comparison with control knockdown (Fig. 3D). Collectively, these data demonstrate that SOAT1 is a potentially viable therapeutic target in GBM.

Figure 3. Inhibition of SOAT1 suppresses GBM growth via blocking SREBP-1-regulated fatty acid synthesis.

Figure 3

A- B, GBM cells or normal astrocyte were treated with SOAT inhibitor avasimibe at different doses for 3 days (A) or knockdown of SOAT1 for 5 days (B), cell number were then counted after trypan blue staining and cell viability was analyzed via live cells dividing total cell numbers (mean ± SD, n = 3). Significance was determined by an unpaired Student's t test. * P < 0.001. C, In vivo luminescent imaging of mice bearing intracranial U87/EGFRvIII-luciferase or GBM30-luciferase cells in athymic nude mice on day 15 after intracranially implanting the indicated GBM cells (upper panel). Lower panel shows the quantification of luminescence signal intensity from intracranial tumor on day 15 after implanting the indicated GBM cells. Statistical significance was analyzed by an unpaired Student's t test (mean ± SEM, n = 7). D, Kaplan-Meier analysis shows the overall survival of U87/EGFRvIII- or GBM30-bearing orthotopic mouse with shSOAT1 knockdown in comparison to scramble shRNA control and analyzed by log-rank test (n =7). E, Western blot analysis of total cell lysates from U87/EGFRvIII or primary GBM30 cells after knockdown of SOAT1 for 48 hr. P: SREBP-1 or SREBP-2 precursor, which is full length of SREBP protein; N: N-terminal cleavage form of SREBP-1 which translocates into nuclei acting as transcription factor; C: C-terminal cleavage form of SREBP-2 which remains in cytoplasmic. F, 14C-labeled glucose was added to U87/EGFRvIII cells for 2 hr after knockdown of SOAT1 for 48 hr, lipids were then extracted and measured by scintillation counter. Significance was determined by an unpaired Student's t test (mean ± SD, n = 3). G, The mixture of palmitate (PA, 10 μM) and oleic acid (OA, 15 μM), which were conjugated with lipid-free BSA, were added into U87/EGFRvIII cells 24 hr post knockdown of SOAT1, and cell death percentage was analyzed by counting live and dead cell number after trypan blue staining at day 5. Significance was determined by an unpaired Student's t test (mean ± SD, n = 3). * P < 0.01, ** P < 0.001. H, Western blot analysis of total cell lysates from U87/EGFRvIII cells after avasimibe treatment for 24 hr. The abbreviations of P, N and C are same as panel E. I, 14C-labeled glucose was added into U87/EGFRvIII cells for 2 hr after avasimibe treatment for 24 hr, lipids were then extracted and measured by scintillation counter. Significance was determined by an unpaired Student's t test (mean ± SD, n = 3). J, U87/EGFRvIII cells were treated with avasimibe (5 μM) with/without addition of PA (10 μM) and OA (15 μM) for 3 days, and cell number were counted after trypan blue staining. Significance was determined by an unpaired Student's t test (mean ± SD, n = 3). *p < 0.001. K, Western blot analysis of the total cell lysates from U87/EGFRvIII cells overexpressing adenovirus-mediated SREBP-1c N-terminal fragment (aa 1-461, Ad-nSREBP-1c) for 24 hr. L, U87/EGFRvIII cells were infected with Ad-control or Ad-nSREBP-1c virus for 24 hr, and then treated with avasimibe (5 μM) for 48 hr, cell number were counted after trypan blue staining. Significance was determined by an unpaired Student's t test (mean ± SD, n = 3). *p < 0.001.

Since inhibition of cholesterol esterification may trigger feedback inhibition of SREBP (11, 13), we examined whether targeting SOAT1 would affect SREBP activity in GBM cells. Western blot analysis revealed that knockdown of SOAT1 in multiple GBM cells led to significant inhibition of SREBP-1 activation, as reflected by the diminished appearance of the N-terminal cleavage product of SREBP-1 (Fig. 3E and Supplementary Fig. S6A). Moreover, SREBP-1-regulated downstream lipogenesis enzymes, acetyl-CoA carboxylase (ACC), fatty acid synthase (FASN), and stearoyl-CoA desaturase-1 (SCD1) (11, 12, 37, 38), were all reduced in cells with knockdown of SOAT1 (Fig. 3E and Supplementary Fig. S6A).

To directly test if knockdown of SOAT1 reduced SREBP-1-regulated de novo lipid synthesis, we performed a pulse chase labeled experiment. 14C-labeled glucose was added to the cell medium and the amount of newly synthesized 14C-labeled lipids in U87/EGFRvIII cells were measured. As shown in Fig. 3F, knockdown of SOAT1 significantly reduced de novo lipid synthesis. We then determined whether knockdown of SOAT1-mediated inhibition of GBM tumor growth (Fig. 3, B-D) was due to the suppression of SREBP-1-regulated lipid synthesis. Palmitate (PA) and oleic acid (OA), the major end products of de novo fatty acid synthesis regulated by FASN and SCD1, were added to SOAT1 knockdown cells. The data showed that the addition of PA/OA mixture prevented SOAT1 knockdown-induced GBM cell death (Fig. 3G).

We also performed pharmacological studies with treatment of multiple GBM cells with avasimibe. As shown in Fig 3H and Supplementary Fig. S6B, avasimibe-inhibition of SOAT reduced SREBP-1 cleavage and inhibited the expression of its targets (ACC, FASN and SCD1), similar to that observed with knockdown of SOAT1 (Fig. 3E). Moreover, treatment of GBM cells with avasimibe also reduced de novo lipid synthesis (Fig. 3I), and addition of PA/OA significantly reduced avasimibe treatment-induced cell death (Fig. 3J). We then applied an adenovirus-mediated expression of the N-terminal form of SREBP-1c (Ad-nSREBP-1c), to determine whether SREBP-1 could also rescue SOAT1 inhibition-induced cell death. As shown in Fig. 3K, expression of active SREBP-1c in U87/EGFRvIII cells markedly enhanced the expression of fatty acid synthesis enzymes, ACC, FASN and SCD1, and significantly reduced avasimibe treatment-induced cell death (Fig. 3L). We noticed that the levels of LDLR and fluorescent Dil-LDL uptake were not affected by silencing of SOAT1 gene in GBM cells (Supplementary Fig. S7). Taken together, these data demonstrate that SOAT1 inhibition leads to suppression of SREBP-1-regulated fatty acid synthesis, in turn causing GBM cell death.

Silencing of SREBP-1 suppresses GBM growth

While our data presented in Fig. 3 supports a role for SREBP-1-mediated de novo lipid synthesis in controlling the growth of GBM, a direct test for the function of SREBP-1 in GBM progression is shown in Fig. 4. We employed shRNA to silence SREBP-1 expression in cultured U87/EGFRvIII and GBM30 cells (Fig. 4A). As expected, knockdown of SREBP-1 led to reduced expression of its downstream enzymes, ACC, FASN and SCD1. After silencing of SREBP-1, GBM cells were implanted into the mouse brain. As shown in Fig. 4B, reduced brain tumor formation and growth were clearly observed with GBM cells after knockdown of SREBP-1 by luminescent imaging, as well as increased overall survival (Fig. 4C). These results are consistent with previous studies showing that knockdown of SREBP-1 reduced tumor growth in mouse flank (39, 40).

Figure 4. Inhibition of SREBP-1 suppresses GBM tumor growth.

Figure 4

A-C, U87/EGFRvIII or primary GBM30 cells stably expressing luciferase were infected with shRNA-expressing lentivirus for 48 hr to knockdown the expression of SREBP-1. Western blotting was performed to analyze the total cell lysates by using indicated antibodies (A). Cells were analyzed for in vivo growth after intracranial implantation into nu/nu mice (1 × 105 cells/mouse). Luminescent images were taken on day 15 (B, upper panel) and luminescence signal intensity in mice were quantified (mean ± SEM, n = 7) (B, lower panel). Mouse overall survival was analyzed by Kaplan-Meier plot (C). Statistical significance was analyzed by log-rank test. p = 0.0023. D-E, Western blot analysis of total cell lysates (D) or real-time PCR analysis (E) of U87/EGFRvIII cells after silencing of SREBP-2 using shRNA lentivirus in comparison with control virus infection (shCtrl). HMG-CoA reductase (HMGCR), a downstream target of SREBP-2 was also analyzed by real-time PCR (E). F-G, 1×106 U87/EGFRvIII cells stably expressing shSREBP-2 or shControl were implanted into mouse flanks. Tumor size was measured every other day (F) and was imaged and weighted after isolation from mouse flanks on day 18 (G). Statistical significance was analyzed by an unpaired Student's t test (mean ± SEM, n = 6). N.S: No significant difference. H, 1×105 U87/EGFRvIII cells stably expressing shControl (shCtrl) or shSREBP-2 were implanted into mouse intracranially and mouse overall survival was analyzed by Kaplan-Meier plot and log-rank test. p > 0.05 between two groups. I, Schematic model illustrates the functional interplay between SOAT1, LDs and SREBP-1 in lipid metabolism and tumorigenesis of GBM. Increased CE and LDs are signatures of GBM. Inhibition of SOAT1 blocks CE synthesis and LD formation. This leads to an accumulation of cholesterol in the ER membrane, and consequently triggers feedback inhibition on SREBP-1 and SREBP-2 function. Suppression of SREBP-1 by targeting SOAT1 leads to the reduction of fatty acid synthesis (PA and OA) and phospholipid formation that restrains GBM tumor growth. Chol, cholesterol; FFA, free fatty acids; PA, palmitate; OA, oleic acid.

While studying shRNA-silencing and pharmacological inhibition of SOAT1 in GBM cells, we noticed that cells with inhibition of SOAT1 also displayed reduced cleavage product for SREBP-2 (Fig. 3, E and H). This raised the possibility that reduction of SREBP-2 might potentially contribute to SOAT1 inhibition-mediated suppression of GBM. We thus used shRNA to silence the expression of SREBP-2 in U87/EGFRvIII cells (Fig. 4, D and E). As shown in Fig. 4F-4H, mice implanted with control GBM cells and shSREBP-2 cells in the flank or intracranially showed similar patterns of tumor growth and overall survival. Interestingly, western blot analysis showed that knockdown of SREBP-2 modestly enhanced SREBP-1 cleavage and SCD1 protein levels (Fig. 4D), which may abrogate the antitumor effects of silencing SREBP-2 expression. Thus, the reduced lipogenesis associated with tumor suppression of GBM reflects the involvement of SREBP-1, but not SREBP-2.

Discussion

In this study, we provided strong evidence that LDs are present in GBM, and found that LD prevalence inversely correlated with GBM patient survival. We also found that inhibition of cholesterol esterification via targeting SOAT1 blocked LD formation and suppressed GBM growth by inhibiting SREBP-1-regulated lipogenesis. Our data provide the first evidence that targeting SOAT1 is an effective means to treat GBM via inhibition of SREBP-1.

GBM is one of the most difficult cancers to treat (8), and a metabolically active tumor that exhibits elevated glycolysis, exaggerated lipogenesis and enhanced LDL-cholesterol uptake, which work together to increase lipid levels in tumor cells to promote their rapid growth (4, 5, 7, 9, 41, 42). In normal cells, cholesterol is strictly maintained at relatively stable levels (13); when ER cholesterol level increases, it triggers a negative feedback loop to inhibit its de novo synthesis (10, 11). Our present study shows that GBM cells convert excess cholesterol to CE that is stored in LDs, to prevent cholesterol accumulation in the ER membrane and avoid inducing feedback inhibition on SREBPs and tumor growth (6, 10).

Although the ER is responsible for regulation of cholesterol synthesis and storage, its cholesterol concentration is maintained at a very low level, comprising only 3-6% of ER lipids (43-45). Even just a 5% increase in ER cholesterol is sufficient to block SREBPs from trafficking to the Golgi and being activated (13). Thus, raising ER cholesterol could inhibit SREBP-1, impair lipogenesis, and block cancer growth. Although SREBP-1 was discovered over 20 years ago (10), development of clinically viable pharmacologic SREBP-1inhibitors has not been successful. For the first time, we showed that forcing cholesterol to accumulate in the ER, via SOAT1 inhibition, achieves the same objectives as direct SREBP-1 inhibition. Since SOAT1 is a much more viable pharmacologic target than SREBP-1, with an inhibitor that has already been tested in clinical trials on cardiovascular patients (33), this can be quickly translated into clinical trials for cancer patients. SOAT1 inhibition might be especially effective against tumors that contain large amount of CE and LDs, such as GBMs.

Lipids stored in LDs could potentially be mobilized when cancer cells are challenged by a harsh microenvironment (46-48). Further work is necessary to examine how tumor cells mobilize and utilize lipids stored in LDs. The current study advances our understanding of lipid metabolism in cancer, and highlights the therapeutic potential of LDs in cancer therapy. Therefore, further exploring the role of LDs in malignant tumors, and developing optimal targeting strategies, might shift the current paradigms in cancer treatment in an entirely new direction.

Supplementary Material

1

Translational Relevance.

Despite the use of advanced therapies, an average survival time of GBM patients has remained about one year over the past few decades. Our previous studies have revealed that lipid metabolism is reprogrammed and SREBP-1 is highly upregulated in GBM to promote lipid synthesis and tumor growth. Here, we identified that blocking cholesterol esterification through inhibition of SOAT1 is a promising therapeutic strategy to target GBM via suppression of SREBP-1. Moreover, the discovery of cholesterol esterification and LDs uniquely formed in GBM tumor tissues provides an ideal metabolic target to specifically inhibit tumor cells while sparing normal brain tissues. Our study might shift the current paradigms in GBM treatment toward a new direction.

Acknowledgments

We thank Dr. S. Jaharul Haque for careful reading of the manuscript and helpful comments. We are grateful to Drs. Catherine Chang and Ta Yuan Chang for the gift of SOAT2 antibody. This work was supported by NIH/NINDS NS072838 (DG) and NS079701 (DG), American Cancer Society Research Scholar Grant RSG-14-228-01–CSM (DG), K08 CA155764 (CH), OSUCCC start-up funds (DG) and OSU Neuroscience Core MRI pilot grant (DG).

Footnotes

Conflict of Interest: The authors declare that there are no any conflicts of interest for this manuscript.

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