Literature DB >> 32194660

THBS2, a microRNA-744-5p target, modulates MMP9 expression through CUX1 in pancreatic neuroendocrine tumors.

Heng Jiao1, Lingxiao Zeng1, Jianpeng Zhang2, Shengsheng Yang2, Wenhui Lou1.   

Abstract

The underlying molecular mechanisms of pancreatic neuroendocrine tumor (pNET) development have not yet been clearly identified. The present study revealed that thrombospondin 2 (THBS2) was downregulated in pNET tissues and cells. Forced expression of THBS2 inhibited the proliferation and migration of pNET cells in vitro. MicroRNA(miR)-744-5p was indicated to be a direct regulator of THBS2. Upregulation of miR-744-5p potentially caused THBS2 repression. Furthermore, THBS2 inhibited the production of matrix metalloproteinase (MMP) MMP9 through suppressing the transcriptional activity of CUT-like homeobox 1 (CUX1). CUX1 and MMP9 mediated the effect of THBS2 on pNET proliferation and migration, respectively. The results of the present study revealed a mechanistic role for THBS2 in pNET proliferation and migration, indicating that THBS2 was downregulated by miR-744-5p and further affected the CUX1/MMP9 cascade, which promoted the development of pNET. Copyright: © Jiao et al.

Entities:  

Keywords:  CUT-like homeobox 1; matrix metalloprotease 9; microRNA-744-5p; pancreatic neuroendocrine tumor; thrombospondin 2

Year:  2020        PMID: 32194660      PMCID: PMC7039111          DOI: 10.3892/ol.2020.11273

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Pancreatic neuroendocrine tumor (pNET), a group of endocrine tumors originates from the islets of the Langerhans in the pancreas, accounts for 1–2% of all pancreatic neoplasms (1,2). pNET are classified into functional (including insulinoma, gastrinoma and rare functional pNET) and non-functional types according to their capacity to stimulate hormonal hypersecretion, as well as the clinical presentation itself (1,2). Chromosomal alterations cause pNET through the loss of tumor suppressor genes, such as MEN1, VHL and p53, or gain of oncogenes, such as CCND1 (3). Mutations induce precursor lesions, such as diffuse endocrine cell hyperplasia, dysplasia and microadenoma, which transform into clinical pNETs accompanied by an accumulation of additional mutations (2,4). The annual incidence of pNET has increased in the past few years, from 1.4 to 3.0 per million between 1973 and 2004, according to an analysis on the pNET cases the Surveillance, Epidemiology, and End Results database (1), and patients with unresectable or metastatic tumor tend to present with a poor prognosis (4). Thus, a better understanding of the molecular mechanisms that trigger and drive cancer progression is required in order to develop effective strategies for the treatment of pNET. Matrix metalloproteases (MMPs) have been extensively studied with regard to migration and invasion activity in cancer (5). MMP2 and MMP9, known as gelatinases, modulate degradation of the main component of basal membranes (collagen type IV) and induce metastasis (6). In pNET, MMP9 is associated with invasion activity of tumor cells and acts as a potent trigger of the angiogenic switch in mice models (7,8). Thrombospondins (THBSs) are a family of matricellular calcium binding glycoprotein that mediate cell-to-cell and cell-to-matrix interactions. Among the five members of the THBSs family, THBS1 and THBS2 are unique due to their type I repeats and antiangiogenic activities (9). THBS2 reportedly interacted with multiple cell surface receptors (LRP, CD36, CD47 and various integrins), growth factors (TGF-β and FGF2), ECM proteins (decorin, HSPGs and fibronectin) and enzymes (MMPs, elastase and cathepsin G) (10,11). LRP binds to THBS2 in the pericellular environment to modulate endocytosis and the lysosomal degradation of THBS2. Downregulation of THBS2 inhibits the formation of the THBS2-MMP2 complex, leading to decreased MMP2 recycling via LRP, which regulates tissue-transglutaminase and VEGF and affects collagen fibrillogenesis and angiogenesis (12). Through binding to CD36, THBS2 regulates a diverse range of activities including angiogenesis, apoptosis and metastasis (13,14). THBS2 is an FGF2 ligand that can block FGF2 interaction with proangiogenic receptors, such as heparin or FGFR1 (15). THBS2 Hep1 peptide can also bind actin to alter cytoskeletal reorganization (16). THBS2 participates in the progression of multiple different types of cancer, but with paradoxical functions, for example, THBS2 inhibited tumor progression in cervical cancer, but promoted tumor progression in colorectal carcinoma, thyroid cancer, gastric cancer and hepatocellular carcinoma (13). Furthermore, the detailed function of THBS2 in pNET remains to be elucidated. THBS trimer has been reported to inhibit the signaling of two members of the tethered ligand receptor family: The thrombin receptor and the trypsin receptor. For example, thrombospondin suppressed protease-activated receptor 2 (PAR2) via CD36 in human microvascular endothelial cells (17). Simultaneously, PAR2 promoted the DNA binding activity of CUT-like homeobox 1 (CUX1), a transcription factor that promoted the aggressiveness of pNET partly through MMP9 (4,18). Thus, the aim of the present study was to examine whether THBS2 suppressed the transcription activity of CUX1 via MMP9. In the present study, it was revealed that THBS2 was significantly downregulated in pNET and modulated the proliferation and migration activity of pNET tumor cells. The present study also investigated the effect of THBS2 on the CUX1/MMP9 cascade and revealed that THBS2 regulated the expression of MMP9 through CUX1. Furthermore, microRNA(miR)-744-5p activated the Wnt/β-catenin pathway and functioned as a diagnostic and prognostic biomarker in pancreatic cancer, according to previous reports (19). The present study also proved that THBS2 was a target of miR-744-5p in pNET.

Materials and methods

Patients and samples

A total of 10 cases of pNET specimens, which were histopathologically and clinically diagnosed, and resected between 10th May, 2017 and 10th November, 2017 at the Zhongshan Hospital of Fudan University (Shanghai, China), were investigated in the present study. The patients included five men and five women, aged between 45–84 years. pNET is a well-differentiated neuroendocrine tumor. They resemble normal endocrine cells, express neuroendocrine markers (chromogranin A and synaptophysin) and hormones (such as insulin, gastrin, vasoactive intestinal polypeptide, glucagon), have mild or moderate nuclear atypical changes, and have low mitotic numbers [<2/10 high power fields (HPF)]. pNET are classified into three grades, according to 2010 World Health Organization classification (20): Grade 1 where the number of mitotic figures in tumor cells is <2/10 HPF, and/or Ki-67 positive index <2%; Grade 2 where the number of mitotic figures in tumor cells is between 2–20/10 HPF and/or Ki-67 positive index 3–20%; and Grade 3 where the number of mitotic figure in tumor cells is >20/10 HPF and/or Ki-67 positive index >20%. The mitotic image requires at least 50 HPF, and the Ki-67 positive index requires that the number of Ki-67 positive cells are calculated on the basis of 500 to 2,000 cells in the proliferative active region. The resected tissues were frozen and stored in liquid nitrogen. Paracancerous specimens were at least 2 cm away from tumor tissue. The present study was approved by Ethics Committee of the Zhongshan Hospital of Fudan University (Shanghai, China) and all the specimens were used for scientific research. All participants provided written informed consent prior to treatment. The clinical information of the specimens are summarized in Table I.
Table I.

Sample descriptions.

Record numberSpecimen numberPathological patternPathological grading
80,6194A4NETG2
78,3988A5NETG1
78,2319A6NETG1
83,3221B1NETG2
81,9036B2NET
83,1295B3NETG1
89,1998B4NET
76,3270B6NET, InsulinomaG1
89,2946B9NET, InsulinomaG2
91,2247B10NET, InsulinomaG1

A, cancer and matching paracancerous specimen; B, cancer specimen; NET, neuroendocrine tumor; G, grading.

Cell culture

The pNET cell line BON-1, human kidney epithelial cell line 293 and human lung fibroblast CCL-153 were cultured in the DMEM medium (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% fetal bovine serum (FBS) (HyClone; GE Healthcare Sciences). QGP-1 cells were maintained in RPMI-1640 medium (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS. All cells were supplemented with 2 mM L-glutamine, 100 units/ml penicillin, and 100 µg/ml streptomycin (Invitrogen; Thermo Fisher Scientific, Inc.) and placed in a humidified chamber with 5% CO2 at 37°C. All the cells were purchased from Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences. In the present study, a normal pancreas cell line corresponding to pNET cells was not used and therefore, 293 and CCL-153 cell lines were used instead, according to a previous study (21).

Cell transfection

The human THBS2 gene was cloned into pGV358 lentiviral vector (Shanghai GeneChem Co., Ltd.). The pGV358-THBS2 plasmid (20 µg) was mixed with the Helper 1.0 (15 µg) and Helper 2.0 (10 µg) packaging helper plasmid in 1 ml GeneChem transfection reagent (Shanghai GeneChem Co., Ltd.) and then added to the 293 cells in 10 cm cell culture dish. Supernatants were collected 48 h post-transfection and incubated with QGP-1 and BON-1 cells at 37°C for 24 h. After 14 days of puromycin selection, THBS2 overexpressed (OE) and negative control (NC) cell lines were established. Lipofectamine® 3000 (Invitrogen; Thermo Fisher Scientific, Inc.) was used for transfection.

Reverse transcription-quantitative PCR (RT-qPCR)

Total RNA was extracted from cells/tissues using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.). RT was performed using the PrimeScript RT reagent kit (Takara Bio, Inc.) for the mRNA (at 37°C for 15 min followed by inactivation at 85°C for 5 sec), and miScript II RT kit (Qiagen GmbH) for miRNA (at 37°C for 60 min followed by inactivation at 95°C for 5 min). RT-qPCR was performed using a SYBR Premix Ex Taq kit (Takara Bio, Inc.) and miScript PCR Starter kit (Qiagen GmbH). GAPDH was selected as the reference gene for proteins and U6 was used as the internal control for miRNA. The qPCR conditions were used as follows: Initial denaturation at 95°C for 3 min, followed by 40 cycles of 95°C for 5 sec and 58°C for 30 sec. Relative gene expression was analyzed using the 2−ΔΔCq method (22) and normalized to the controls (GAPDH or U6). Primer information: miR-744 forward, 5′-TGCGGGGCTAGGGCTAACAGCA-3′ and the universal reverse primer, 5′-TGTCGTGGAGTCGGC-3′; U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′; THBS2 forward, 5′-GACACGCTGGATCTCACCTAC-3′ and reverse, 5′-GAAGCTGTCTATGAGGTCGCA-3′; CUX1 forward, 5′-GACGTGTTGCGCACTTAACG-3′ and reverse, 5′-ACGACATAGATTGGGCTTAATGCT-3′; MMP9 forward, 5′-TTGACAGCGACAAGAAGTGG-3′ and reverse, 5′-GCCATTCACGTCGTCCTTAT-3′; GAPDH forward, 5′-TGCACCACCAACTGCTTAGC-3′ and reverse, 5′-GGCATGGACTGTGGTCATGAG-3′. All primers were purchased from Sangon Biotech Co., Ltd.).

Western blot analysis

The protein was extracted from pNET cells using RIPA lysis buffer (Beijing Solarbio Science and Technology Co., Ltd.) with 1 mM phenylmethylsulfonyl fluoride (Beijing Solarbio Science and Technology Co., Ltd.) on ice and determined using a BCA protein assay kit (Bio-Rad Laboratorites, Inc.). A total of 1 mg protein was separated via SDS-PAGE (12% gel) and transferred to polyvinylidene difluoride (PVDF) membranes (EMD Millipore). The membranes were subsequently blocked with 5% skimmed milk powder at room temperature for 1 h and incubated with antibodies against THBS2 (cat. no. ab112543; 1:1,000; Abcam) and GAPDH (cat. no. 97166; 1:1,000; Cell Signaling Technology, Inc.) at 4°C overnight. The membranes were then incubated with a horseradish peroxidase labeled horse anti-mouse secondary antibodies (cat. no. 7076; 1:1,000; Cell Signaling Technology, Inc.) or a goat anti-rabbit secondary antibody (cat. no. ab7090; 1:10,000; Abcam) for 1 h at room temperature and Pierce ECL Substrate were used to visualize the target proteins.

MTT assay

Cell proliferation was assessed using a MTT Cell Proliferation kit (Roche Diagnostics). The cells (4×103 cells/well) were seeded into 96-well plates and cultured at 37°C. Upon reaching about 70% confluence, the cells were transfected and then incubated for 2, 3, 4 or 6 days. A total of 20 µl MTT reagent (5 mg/ml) was added to each well for 4 h and then removed, after which 150 µl DMSO was added to dissolve the formazan crystals. Finally, the absorbance at 570 nm was measured.

EdU assay

The EdU assay was performed using a Cell-Light EdU DNA Cell Proliferation kit (Guangzhou RiboBio). The cells (1×104) were cultured in 24 well plates at 37°C for 24 h. After incubation with 50 µM EdU for 2 h at 37°C, the cells were fixed with 4% paraformaldehyde for 30 min at 37°C and then neutralized by Glycine. After the cells were permeabilized by 0.5% TritonX-100 for 10 min at room temperature, Apollo Dye Solution was added to react with the EdU at room temperature for 30 min. Nucleic acid was stained with Hoechst at room temperature for 5 min. Images were captured with an inverted fluorescence microscope (Olympus) at ×200 magnification and 5 fields of each well were randomly selected to obtain images.

Transwell assay

A total of 1×104 cells in 100 µl low serum DMEM medium (0.1% FBS) were plated into the upper chamber, to ensure cell survival, while 600 µl DMEM supplemented with 20% FBS was added to the lower chamber as a chemical attractant. The cells were incubated at 37°C for 24 h, after which the cells on the upper surface of the filter were removed and the cells on the lower side of the filter were stained with 0.1% crystal violet at room temperature for 5 min. The cells in five randomly selected fields were counted under an inverted light microscope (Olympus) at ×100 magnification.

Bioinformatics analysis

GSE73338 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73338) and GSE43796 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE43796) from Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/) was analyzed to identify differentially expressed genes in pNET. The online databases of TargetScan (http://www.targetscan.org/vert_72/), miRTarBase (http://mirtarbase.mbc.nctu.edu.tw/php/search.php), RegRNA2.0 (http://regrna2.mbc.nctu.edu.tw/detection.html) and RNA22 (https://cm.jefferson.edu/rna22/) were used to predict the putative binding miRNA and the miRNA response elements (MRE) of THBS2. The LinkedOmics databases (http://www.linkedomics.org/admin.php) was searched to identify miRNAs that were negatively correlated with THBS2 in pancreas-adenocarcinoma-other subtype, which were subsequently aligned them with the targeted miRNAs that were predicted by TargetScan, miRTarBase and RegRNA2.0 to obtain the potential targets.

Luciferase reporter assay

The 293 cells in 96 well plates (4×103 cells/well) were cotransfected with THBS2 or THBS2-MRE mutant reporter constructs and miR-744 mimics (5′-TGCGGGGCTAGGGCTAACAGCA-3′) or mi-NC (5′-UUCUCCGAACGUGUCACGUTT-3′) (Sangon Biotech Co., Ltd.) using Lipofectamine® 3000 (Invitrogen; Thermo Fisher Scientific, Inc.). After 48 h of incubation, luciferase activity was measured by dual-luciferase reporter assay system (Promega Corporation) according to the manufacturer's protocol. The experiments were performed in triplicate and the relative luciferase activity was normalized to the Renilla luciferase activity. Adhered pNET cells were cotransfected with the reporter constructs with or without MMP9 promoter (Beijing Haichuang Keye Biotechnology Co., Ltd.) and the vectors (pCDH-CMV-MCS-EF1-CopGFP-T2A-puro) with or without CUX1 coding sequences (Beijing Haichuang Keye Biotechnology Co., Ltd.). The luciferase activity was determined after 48 h of incubation. Cells transfected with the MMP9 promoter reporter and the overexpression vector plasmid (pCDH-CMV-MCS-EF1-CopGFP-T2A-puro) were used as controls.

Immunohistochemistry (IHC) assay

Fresh samples from patients with pNET were cut into 1.5×1.5×0.2 cm3 sections and fixed with 10% neutral formalin at room temperature for 24 h. The specimens were dehydrated by a graded series of ethanol solutions (80, 90, 95 and 100%), the ethanol was gradually removed using 1:1 ethanol and dimethlbenzene mixture followed by 100% dimethlbenzene, embedded in paraffin and cut into 4 µm slice by a rotary microtome. The sections were dewaxed and rehydrated using a graded alcohol series (100, 95, 90 and 80%) and then applied for antigen retrieval (high pressure heating at 121°C in repair buffer for 3 min). Afterwards, the sections were blocked with 10% FBS and 1% BSA (Sigma-Aldrich; Merck KGaA) TBS solution at room temperature for 2 h and incubated with THBS2 antibody (cat. no. ab112543; 1:500; Abcam) overnight at 4°C. The sections were incubated with 0.3% H2O2 at room temperature for 15 min and subsequently with the goat anti-rabbit secondary antibody (cat. no. ab7090; 1:300; Abcam) at room temperature for 1 h. After colouration with 3,3-diaminobenzidin at room temperature without light for 10 min, all sections were dehydrated, cleared, mounted and visualized using a light microscope (magnification, ×100; Phenix Optics Co., Ltd.).

Chromatin immunoprecipitation-qPCR (ChIP-qPCR)

DNA and proteins of QGP-1 and BON-1 cells were crosslinked with 1% formaldehyde at room temperature for 20 min, and then the complexes were sonicated on ice for 2 min (25% power; 4.5 sec shock; 9 sec clearance; 14 times; Sonics and Materials, Inc.) to achieve 200–500 bp DNA fragments. DNA fragments bound by specific proteins were immunoprecipitated with immunoglobulin G (cat. no. sc-2025; 1:80; Santa Cruz Biotechnology, Inc.) or CUX1 antibodies (cat. no. sc-13024; 1:40; Santa Cruz Biotechnology, Inc.). Eluted DNA fragments were analyzed by semi-qPCR. MMP9 forward primer: 5′-CCAATCACCACCATCCGTTG-3′ and reverse primer: 5′-CCTCGGGCAAATGTCTTACC-3′. The reaction conditions were as follows: Initial denaturation at 95°C for 3 min, then 40 cycles of 95°C for 5 sec and 58°C for 30 sec. Relative gene expression was analyzed by 2−ΔΔCq method (22) and normalized to the controls. The qPCR products were separated by a 2% agarose gel, stained by 10000*SolarRed (Beijing Solarbio Science and Technology Co., Ltd.) and visualized using a Gel imaging analysis system (WD-9413B; Beijing Liuyi Biotechnology Co., Ltd.)

Statistical analysis

All statistical analyses were performed using SPSS software (version 17.0; SPSS, Inc.) and GraphPad Prism software (version 5.0; GraphPad Software, Inc.). Quantitative data were presented as mean ± standard deviation. The statistical significance between two groups was calculated by Student's t-test. The significance of the difference between more than two groups was evaluated by one-way analysis of variance followed by Tukey's post hoc test. Linear correlation analyses were performed in order to determine correlations between THBS2 and miR-744-5p expression levels. P<0.05 was considered to indicate a statistically significant difference.

Results

Altered levels of THBS2 in pancreatic neuroendocrine tumors (pNET)

Using publicly available datasets (GSE73338) from the GEO database, it was revealed that THBS2 was significantly downregulated in pNET compared with normal tissues (Fig. 1A) (23). In addition, qPCR assay revealed that THBS2 expression in the 10 pNET samples was 2.6-fold less than that in para-carcinoma tissues (Fig. 1B). The expression levels of THBS2 in pNET specimen are presented in Fig. 1C. Consistently, pNET cell lines QGP-1 and BON-1 also exhibited decreased levels of THBS2 when compared with the 293 and human lung fibroblast CCL-153 cell lines (Fig. 1D).
Figure 1.

THBS2 is downregulated in pNET. (A) Gene Expression Omnibus dataset (GSE73338) analysis of THBS2 expression in pNET specimens compared to normal controls. (B) The expression of THBS2 in 10 pNET tissues and the paired para-carcinoma tissues were detected by qPCR. (C) Hematoxylin and eosin stain and immunohistochemistry stain of pNET and the paired para-carcinoma tissues Hematoxylin and eosin stain magnification, ×40; immunohistochemistry stain magnification, ×100. (D) The expression of THBS2 in pNET cell lines QGP-1 and BON-1 and normal human cell line 293 and CCL-153 were detected by qPCR. **P<0.01 vs. CTRL; &&P<0.01 and &&&P<0.001 vs. 293 cells; ###P<0.001 vs. CCL-153 cells. THBS2, thrombospondin 2; pNET, pancreatic neuroendocrine tumor; qPCR, quantitative PCR; CTRL, control.

THBS2 overexpression represses the proliferation and migration of pNET cells in vitro

The present study established THBS2 stable-overexpressed (OE) QGP-1 and BON-1 cells in order to investigate the effect of THBS2 on pNET development. According to the qPCR results, OE group expressed >100 times more THBS2 compared with the NC group (data not shown). The western blotting results further verified the upregulation of THBS2 in THBS2 OE cells (Fig. 2A). In contrast to the NC group, THBS2 overexpression impaired the proliferative capacity of pNET cells, as demonstrated by the MTT and EdU assay (Fig. 2B-D). The migration abilities of THBS2-overexpressed cells also decreased markedly when compared with NC (Fig. 2E). These results indicated that THBS2 significantly inhibited the proliferation and migration of pNET cells.
Figure 2.

THBS2 overexpression repressed the proliferation and migration activity of pNET cells. (A) QGP-1 and BON-1 cells were stably transfected with THBS2 lentivirus or vector lentivirus. The transfection effect was verified by western blotting assay. (B) MTT assay of the MOCK, NC and OE groups in QGP-1 cells after 2, 4 or 6 days of culture. (C) MTT assay of the MOCK, NC and OE groups in BON-1 cells after 2, 4 or 6 days of culture. (D) EdU assay of the MOCK, NC and OE groups in pNET cells after 24 h of culture. (E) Transwell assay of the MOCK, NC and OE groups in pNET cells. **P<0.01 vs. NC. THBS2, thrombospondin 2; OE, THBS2 lentivirus; NC, negative control (vector lentivirus).

THBS2 is regulated by miR-744-5p

Bioinformatics analysis using the TargetScan, miRTarBase, RegRNA2.0 and RNA22 database predicted that THBS2 mRNA was the downstream target of miR-744-5p (Fig. 3A). Furthermore, datasets from LinkedOmics databases demonstrated that the expression level of miR-744-5p was negatively correlated with THBS2 in pancreas-adenocarcinoma-other subtype (Fig. 3B). Therefore, the cross-regulation between THBS2 and miR-744-5p was assayed. First, it was revealed that miR-744-5p was upregulated in pNET (NCBI/GEO/GSE43796) (24) and pancreatic cancer samples. miR-744-5p was also upregulated in BON-1 and QGP-1 cells when compared with 293 cells (Fig. 3C) (21). The luciferase reporter assay was then performed. miR-744-5p cotransfection induced a significant decrease in the signal of the luciferase reporter containing THBS2 MRE, but not the mutant THBS2 MRE reporter, demonstrating that THBS2 was a direct target of miR-744-5p (Fig. 3D). In addition, miR-744-5p overexpression or interference inhibited or promoted THBS2 expression both at transcription and translation level in BON1 and QGP-1 cells, respectively (Fig. 3E and F). Furthermore, Pearson's correlation analysis revealed a negative correlation between miR-744-5p and THBS2 in 30 tumor tissues (Fig. 3G). These results indicated that upregulation of miR-744-5p led to the suppression of THBS2 in pNET.
Figure 3.

THBS2 was a direct target of miR-744-5p. (A) Venn diagram demonstrating that 12 genes are putative miR-744 targets predicted by TargetScan, miRTarBase and RegRNA2.0 database. (B) The correlation between miR-744-5p and THBS2 in pancreas-adenocarcinoma-other subtype from the LinkedOmics databases. (C) qPCR analysis of the expression of miR-744-5p in BON-1, QGP-1 and 293 cells. (D) Luciferase activity of wt THBS2 reporter and mutant THBS2 reporter constructs in 293 cells following transfection of miR-744-5p mimics. (E) qPCR and (F) western blot analysis the expression of THBS2 following transfection of miR-744-5p mimics or inhibitor. (G) The expression of THBS2 was negatively correlated with miR-744-5p in pNET tissues. $$$$P<0.0001 vs. 293, &&&P<0.001 vs. THBS2 wt+mi-NC, ****P<0.0001 vs. ni-NC, ####P<0.0001 vs. mi-NC. THBS2, thrombospondin 2; miR, microRNA; qPCR, quantitative PCR; wt, wild-type; Mut, mutation; NC, negative control.

THBS2 inhibits the CUX1/MMP9 axis

Thrombospondin/CD36 cascade regulated PAR2 signaling in microvascular endothelial cells (17). CUX1 was reported to be the downstream effector of PAR2 (18). Upregulated CUX1 also stimulated the expression of MMP9 in pNET. The present study thus predicted that THBS2 regulated MMP9 through CUX1 in pNET. First, the present study verified that CUX1 was a transactivator for MMP9 transcription using ChIP and luciferase reporter assays (Fig. 4A and B). The effect of THBS2 on CUX1 was then investigated. CUX1 levels did not change in either mRNA or protein levels when the expression of THBS2 was artificially changed in QGP-1 and BON-1 cells (Fig. 4C and D). However, in the ChIP assay, the amount of CUX1 proteins bound to MMP9 fragments in THBS2 OE cells was lower compared with that in NC cells, implying that THBS2 may impair the interaction between CUX1 and the MMP9 promoter (Fig. 4E and F). Consistently, the transcription stimulation of CUX1 on MMP9 promoter was also decreased in THBS2 OE cells when compared with NC cells, validated by luciferase reporter assay (Fig. 4G and H). Furthermore, THBS2 inhibited the expression of MMP9 at transcriptional level, whereas CUX1 overexpression alleviated this effect in QGP-1 cells (Fig. 4I and K). On the other hand, THBS2 interference stimulated the production of MMP9, which was counteracted by CUX1 knockdown in BON-1 cells, indicating that THBS2 regulated the production of MMP9 is CUX1-dependent (Fig. 4J and K).
Figure 4.

THBS2 regulates the CUX1/MMP9 cascade. (A) CUX1 directly interacted with the MMP9 promoter. qPCR analysis following ChIP revealed enrichment of the MMP9 promoter sequence in the anti-CUX1-precipitated DNA compared with the IgG group. (B) Luciferase reporter analysis after 293 cells were co-transfected with plasmid, with or without CUX1 and reporter, with or without MMP9 promoter for 48 h. (C) qPCR and (D) western blot analysis demonstrating the expression of CUX1 after THBS2 was overexpressed or knocked-down. (E and F) qPCR analysis of the MMP9 sequences bound with CUX1 after ChIP analysis in NC or (E) THBS2 OE QGP-1 and (F) BON-1 cells. (G and H) The relative luciferase activity was detected after NC or (G) THBS2 OE QGP-1 and (H) BON-1 cells were co-transfected with plasmid with or without CUX1 and reporter with or without MMP9 promoter for 48 h. (I-K) MMP9 expression was detected by qPCR (I and J) and western blot (K) after THBS2 or CUX1 was overexpressed or knockdown. **P<0.01, ***P<0.001 or ****P<0.0001 vs. NC or siNC; ##P<0.01 vs. THBS2 or siTHBS2; ###P<0.001 or ####P<0.0001 vs. CUX1+MMP9 promoter of NC cells; &&P<0.01 or &&&P<0.001 vs. NC of THBS2 OE cells. THBS2, thrombospondin 2; CUX1, CUT-like homeobox 1; MMP, matrix metalloproteinase; qPCR, quantitative PCR; OE, THBS2 lentivirus; NC, negative control; NS, not significant; si, small interfering.

THBS2/CUX1/MMP9 axis is critical for pNET cell proliferation and migration

The present study assessed whether THBS2 repression promoted pNET cell proliferation and migration through activating CUX1 and MMP9. As presented in the MTT and Transwell assay, CUX1 and MMP9 knockdown reversed downregulated THBS2-induced cell proliferation and migration in QGP-1 cells (Fig. 5A and C), respectively. On the contrary, CUX1 and MMP9 exogenous expression prevented the proliferation and migration repression caused by THBS2 upregulation in BON-1 cells (Fig. 5B and C), respectively. In summary, these data suggested that THBS2 downregulation stimulated the activity and expression of CUX1 and MMP9, respectively, which was associated with pNET development.
Figure 5.

THBS2/CUX1/MMP9 axis affected pNET progression. Viability of (A) QGP-1 and (B) BON-1 cells following transfection with THBS2, CUX1, siTHBS2 and siCUX1 for 3 days. **P<0.01 and ***P<0.001 vs. NC or siNC; @@P<0.01 vs. THBS2 or siTHBS2. (C) Transwell assays were performed in QGP-1 and BON-1 cells 24 h post-transfection. THBS2, thrombospondin 2; CUX1, CUT-like homeobox 1; MMP, matrix metalloproteinase; si, small interfering; NC, negative control.

Discussion

In the present study, it was revealed that THBS2 was downregulated in pNET tissue and cells. Furthermore, THBS2 overexpression inhibited the proliferation and migration of pNET cells. Upregulation of miR-744-5p resulted in THBS2 repression. THBS2 could regulate MMP9 through affecting the transcriptional activity of CUX1. The THBS2/CUX1/MMP9 cascade modulated proliferation and migration in pNET. THBS2 contains the type II repeats similar to epidermal growth factor repeats, the type III repeats for calcium binding, the thrombospondin common C-terminal domain for cell binding, as well as the THBS1 and THBS2 unique type I repeats used for interacting with TGFβ, MMP9 and CD36 (13). Deregulation of THBS2 induces adhesion, apoptosis, migration and cytoskeletal organization of cancer cells (25). Chen et al (26) reported that THBS2 promoted prostate cancer bone metastasis by inducing miR-376c-mediated MMP2 upregulation. Cancer-associated fibroblasts also suppressed prostate cancer invasion via modulation of the ERα/THBS2/MMP3 axis (27). THBS2 silencing inhibited gastric cancer progression through the PI3K/AKT signaling pathway (28). THBS2 potentiated Notch3/Jagged1 signaling, which decreased cancer cell proliferation (29). THBS2 repression receded the degradation of MMP9 and thus promoted VEGF production (13). In addition, THBS2 modulated a series of processes comprising chondrogenesis collagen fibrillogenesis, wound healing, angiogenesis, tumor growth and cell apoptosis (10,30). The present study proved that downregulation of THBS2 induced proliferation of pNET cells through CUX1 and promoted migration through MMP9. PI3K/AKT/NOS, Rac/ROS, CYP1B1/ROS, NF-κB, adrenocorticotrophic hormone-receptor and estrogen receptor α (ERα) signaling, as well as DNA methylation and miRNA deregulation, have all been reported as involved in the regulation of THBS2 expression (27,30–32). However, to the best of our knowledge, the regulators of THBS2 in pNET have not yet been investigated. The present study revealed that miR-744-5p targeted THBS2 transcripts directly, and that upregulation of miR-744-5p may induce THBS2 inhibition. Aberrant expression of miR-744-5p has been identified in a number of different types of cancer, which affected cancer progression by targeting different proteins, such as Bcl-2, cMyc, TGF-β1, Notch1, PTP1B, PAX2, RING1, MAFG, NFIX and HNRNPC (33–38). miR-744-5p targeted SFRP1, GSK3β and TLE3 to modulate Wnt/β-catenin signaling, which was associated with lymph node metastasis, recurrences, prognosis and chemoresistance in pancreatic cancer (39,40). Furthermore, miR-744-3p stimulated MMP9 production via different ways in laryngeal squamous cell carcinoma (19), suggesting that miR-744 clustering may be a potent regulator of MMP9 as well as metastasis. Furthermore, transcription factor c-Jun, TLR4/NF-κB signaling, DNA hypermethylated and T-cell intracellular antigen (TIA) were revealed to regulate the expression of miR-744-5p (33,34,41). However, the factors that stimulate the upregulation of miR-744-5p in pNET remain unknown. The function of CUX1 consists of tumor suppression (via promoting base excision repair and transcriptionally inhibiting the PI3K/AKT signaling pathway), as well as tumor promoting (via promoting cell cycle progression and cell proliferation, stimulating cell migration and invasion, inducing apoptosis resistance, modulating the tumor microenvironment, reinforcing spindle assembly checkpoints to promote bipolar mitosis, and accelerating oxidative DNA damage repair) (42,43). Upregulation of CUX1 stimulated proliferation, tumor growth, resistance to apoptosis and angiogenesis in Pnet (8). In the present study, CUX1 functioned as a transactivator for MMP9 transcription and induced the proliferation of pNET cells (potentially through modulating the transcription of certain effectors, for example p21, FGF1, VAV2), which was consistent with previous studies (44–46). In the present study, it was speculated that THBS2 inhibited CUX1 through PAR2, as calcium mobilization of PAR2 can be repressed by thrombospondin/CD36 signaling, and transcription activity of CUX1 can be stimulated by PAR2 by enhancing its DNA binding ability (17,18). As demonstrated in the present study, THBS2 could not regulate the production of CUX1 transcripts or proteins. However, CUX1 bound much less MMP9 and indicated weaker transcriptional activity for MMP9 in THBS2 OE cells when compared with NE cells. These results indicated that THBS2 inhibited the transcriptional activity of CUX1 for MMP9, which was in accordance with previous studies. However, whether this effect was indeed mediated by PAR2 requires further investigation. In addition, CUX1 prevented the affect of THBS2 change on proliferation, which suggested that CUX1 may be a crucial effector of THBS2. MMP2/9 forms complexes with THBS2 to interact with LRP1 and gets degraded; however, THBS2 could also regulate MMPs indirectly (26). The results from the present study demonstrated that CUX1 mediated the effect of THBS2 on MMP9. Whether THBS2 can regulate MMP9 directly in pNET cells remains uncertain. According to the results of the present study, THBS2 should not regulate exogenous MMP9 expression through CUX1, as the MMP9 plasmid lacks CUX1 binding sequences. However, Fig. 5C demonstrates that THBS2 upregulation inhibited MMP9 overexpression-induced migration, implying that THBS2 also regulates MMP9 expression at post-transcriptional level. In addition, MMP9 may be the major prometastatic effector of THBS2 as MMP9 knockdown or overexpression almost completely prevented the affect of THBS2 up- or downregulation on migration, respectively. Thus, the results of the present study suggested that inhibition of CUX1 and MMP9 may be an effective method to prevent THBS2 repression-caused pNET development.
  46 in total

1.  MicroRNA-20a regulates cell proliferation, apoptosis and autophagy by targeting thrombospondin 2 in cervical cancer.

Authors:  Qinghong Zhou; Jinju Dong; Ruoyu Luo; Xiaohong Zhou; Jun Wang; Fang Chen
Journal:  Eur J Pharmacol       Date:  2018-12-01       Impact factor: 4.432

Review 2.  CUX1 transcription factors: from biochemical activities and cell-based assays to mouse models and human diseases.

Authors:  Laura Hulea; Alain Nepveu
Journal:  Gene       Date:  2012-01-28       Impact factor: 3.688

3.  Functions and transcriptional regulation of thrombospondins and their interrelationship with fibroblast growth factor-2 in bovine luteal cells.

Authors:  Svetlana Farberov; Rina Meidan
Journal:  Biol Reprod       Date:  2014-07-24       Impact factor: 4.285

4.  Genome-wide hypermethylation coupled with promoter hypomethylation in the chorioamniotic membranes of early onset pre-eclampsia.

Authors:  Travers Ching; Min-Ae Song; Maarit Tiirikainen; Janos Molnar; Marla Berry; Dena Towner; Lana X Garmire
Journal:  Mol Hum Reprod       Date:  2014-06-18       Impact factor: 4.025

Review 5.  Matrix metalloproteinases: regulators of the tumor microenvironment.

Authors:  Kai Kessenbrock; Vicki Plaks; Zena Werb
Journal:  Cell       Date:  2010-04-02       Impact factor: 41.582

6.  Characterization of gene expression and activated signaling pathways in solid-pseudopapillary neoplasm of pancreas.

Authors:  Minhee Park; Minhyung Kim; Daehee Hwang; Misun Park; Won Kyu Kim; Sang Kyum Kim; Jihye Shin; Eun Sung Park; Chang Moo Kang; Young-Ki Paik; Hoguen Kim
Journal:  Mod Pathol       Date:  2013-09-27       Impact factor: 7.842

7.  Thrombospondin 2 regulates cell proliferation induced by Rac1 redox-dependent signaling.

Authors:  Neuza Lopes; David Gregg; Sanjay Vasudevan; Hamdy Hassanain; Pascal Goldschmidt-Clermont; Hervé Kovacic
Journal:  Mol Cell Biol       Date:  2003-08       Impact factor: 4.272

8.  A Cross-Species Analysis in Pancreatic Neuroendocrine Tumors Reveals Molecular Subtypes with Distinctive Clinical, Metastatic, Developmental, and Metabolic Characteristics.

Authors:  Anguraj Sadanandam; Stephan Wullschleger; Costas A Lyssiotis; Carsten Grötzinger; Stefano Barbi; Samantha Bersani; Jan Körner; Ismael Wafy; Andrea Mafficini; Rita T Lawlor; Michele Simbolo; John M Asara; Hendrik Bläker; Lewis C Cantley; Bertram Wiedenmann; Aldo Scarpa; Douglas Hanahan
Journal:  Cancer Discov       Date:  2015-10-07       Impact factor: 39.397

9.  Identification of a set of miRNAs differentially expressed in transiently TIA-depleted HeLa cells by genome-wide profiling.

Authors:  Carmen Sánchez-Jiménez; Isabel Carrascoso; Juan Barrero; José M Izquierdo
Journal:  BMC Mol Biol       Date:  2013-02-06       Impact factor: 2.946

10.  MiR-744-5p inducing cell death by directly targeting HNRNPC and NFIX in ovarian cancer cells.

Authors:  Michael Kleemann; Helga Schneider; Kristian Unger; Philip Sander; E Marion Schneider; Pamela Fischer-Posovszky; René Handrick; Kerstin Otte
Journal:  Sci Rep       Date:  2018-06-13       Impact factor: 4.379

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  4 in total

1.  Circular RNA circ_0020123 promotes non-small cell lung cancer progression by sponging miR-590-5p to regulate THBS2.

Authors:  Liang Wang; Lantao Zhao; Yonghong Wang
Journal:  Cancer Cell Int       Date:  2020-08-11       Impact factor: 5.722

2.  Chemotherapy-Enriched THBS2-Deficient Cancer Stem Cells Drive Hepatocarcinogenesis through Matrix Softness Induced Histone H3 Modifications.

Authors:  Kai-Yu Ng; Queenie T Shea; Tin-Lok Wong; Steve T Luk; Man Tong; Chung-Mau Lo; Kwan Man; Jing-Ping Yun; Xin-Yuan Guan; Terence K Lee; Yong-Ping Zheng; Stephanie Ma
Journal:  Adv Sci (Weinh)       Date:  2021-01-04       Impact factor: 16.806

3.  circ_0085296 inhibits the biological functions of trophoblast cells to promote the progression of preeclampsia via the miR-942-5p/THBS2 network.

Authors:  Jiyi Liu; Yan Yang; Wenlan Liu; Ruilun Lan
Journal:  Open Med (Wars)       Date:  2022-03-21

Review 4.  CUX1, A Controversial Player in Tumor Development.

Authors:  Ning Liu; Qiliang Sun; Long Wan; Xuan Wang; Yu Feng; Judong Luo; Hailong Wu
Journal:  Front Oncol       Date:  2020-05-29       Impact factor: 6.244

  4 in total

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