miR‑140‑5p inhibits human glioma cell growth and invasion by targeting JAG1

  • Authors:
    • Huan‑Li Yang
    • Ya‑Mei Gao
    • Jin‑An Zhao
  • View Affiliations

  • Published online on: July 12, 2017     https://doi.org/10.3892/mmr.2017.6951
  • Pages: 3634-3640
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Abstract

miR‑140‑5p has been reported to be a tumor suppressor in several types of human cancer, however, little is known about its expression and function in human gliomas. The present study aimed to detect the expression of miR‑140‑5p in human glioma tissues and cell lines, and to investigate the effect of miR‑140‑5p on glioma cell growth, invasion and adhesion using in vitro gain‑of‑function and loss‑of‑function experiments. Furthermore, the hypothesis that Jagged1 (JAG1) may be a target gene of miR‑140‑5p was tested. Reverse transcription‑quantitative polymerase chain reaction analysis revealed that miR‑140‑5p was significantly downregulated in human glioma tissues and cell lines compared with normal tissues, and that its expression was correlated with the grade of gliomas. Transfection of a miR‑140‑5p mimic into SW1783 glioma cells promoted cell growth, invasion and adhesion, as determined by MTT, Transwell and cell adhesion assays respectively. By contrast, transfection of a miR‑140‑5p inhibitor had the opposite effect. A dual‑luciferase reporter assay confirmed that JAG1 was a target gene of miR‑140‑5p, and miR‑140‑5p inhibited JAG1 expression both at the mRNA and protein level. In addition, JAG1 overexpression reversed the effect of miR‑140‑5p on glioma cell growth, invasion and adhesion. In conclusion, the present study is the first to reveal that miR‑140‑5p acts as a tumor suppressor in human gliomas. JAG1 was demonstrated to be a novel target of miR‑140‑5p, and miR‑140‑5p exerted its inhibitory effect on human glioma growth and invasion, partly by suppressing JAG1. The present study may provide useful information toward novel targets for the treatment of gliomas.

Introduction

Gliomas account for approximately 30% of all brain and central nervous system tumors, and 80% of all malignant brain tumors (1). Although conventional treatments for gliomas are effective in controlling the disease, the median survival time of patients with gliomas is only 15 months (2). Exceptional invasiveness is one of the major reasons for treatment failure. Therefore, it is necessary to elucidate the molecular mechanisms for glioma invasion, and to find novel targets for the treatment of gliomas.

Recently, the association between microRNAs (miRNAs) and tumorigenesis has become a hot topic in the field of cancer research (35). miRNAs are small, non-coding RNAs which regulate a wide range of cellular processes, including cell survival, death, differentiation, and motility (6,7). miRNAs act as tumor oncogenes or suppressors in various types of cancer (811), including gliomas (1216). miR-140-5p has been reported to be a tumor suppressor in hepatocellular carcinoma (17), tongue squamous cell carcinoma (18), non-small cell lung cancer (19), and colorectal cancer (20). Recent research has demonstrated that the gene expression of hsa-miR-140-5p correlates with several selected magnetic resonance imaging features of patients with glioblastoma multiforme (21). However, little is known about the expression and the function of miR-140-5p in human gliomas.

The Notch signaling pathway participates in various aspects of tumor biology, and it has attracted increasing attention as a therapeutic target for cancer (22). Jagged1 (JAG1) is one of the canonical ligands for Notch receptors. It binds to Notch receptors and triggers Notch activation (23). Previous studies have demonstrated that JAG1 acts as an oncogene in brain tumors (2426). JAG1 is overexpressed in glioblastoma blood vessels, and it promotes tumor growth as well as maintains cancer stem-like cells (24,25,27).

In the present study, the expression of miR-140-5p was detected in human glioma tissues and cell lines and compared to that of normal tissue. In vitro gain-of-function and loss-of-function experiments were then performed to investigate the effect of miR-140-5p on glioma cell growth, invasion and adhesion. Furthermore, the hypothesis that JAG1 may be a target of miR-140-5p was tested. The present study may contribute to developing novel therapeutic strategies for gliomas.

Materials and methods

Tissue samples

The study was approved by the Ethics Committee of Weinan Central Hospital (Weinan, China). A total of 48 glioma tissue samples and 48 adjacent normal tissue samples were collected from 48 patients with glioma who underwent surgery at Weinan Central Hospital between March 2012 and July 2015, including 21 patients who had low-grade (grades I–II) and 27 patients who had high-grade (grades III–IV) glioma. Among these patients, 23 were male and 25 were female, with the age range 30–69 years. All patients signed informed consent prior to enrollment in the study.

Cell culture

The human glioma cell lines (U-87, LN-18, U-118, U-138 and SW1783) and the human embryonic kidney HEK293 cell line were purchased from the American Type Culture Collection (Manassas, VA, USA). The normal human astrocytes were purchased from ScienCell Research Laboratories, Inc. (Carlsbad, CA, USA). The cells were cultured in Dulbecco's modified Eagle's medium (DMEM; Thermo Fisher Scientific, Inc., Waltham, MA, USA) supplemented with 10% fetal bovine serum (FBS; Thermo Fisher Scientific, Inc.) in a humidified atmosphere of 5% CO2 at 37°C.

Cell transfection

The miR-control (5′-UUGUACUACACAAAAGUACUG-3′), miR-140-5p mimic (sense 5′-CAGUGGUUUUACCCUAUGGUAG-3′; antisense 5′-ACCAUAGGGUAAAACCACUGUU-3′), miR-140-5p inhibitor (antisense 5′-CUACCAUAGGGUAAAACCACUG-3′), control empty vector (cat. no. v855-20; Invitrogen; Thermo Fisher Scientific, Inc.), JAG1 overexpression plasmid (JAG1-pcDNA3.1), JAG1 small interfering (si) RNA (sense 5′-GAUCUAAAAGGGAAUAAAAGGTT-3′; antisense 5′-CCUUUUAUUCCCUUUUAGAUCTT-3′) and scramble siRNA (sense 5′-UUCUCCGAACGUGUCACGUTT-3′; antisense 5′-ACGUGACACGUUCGGAGAATT-3′) were synthesized from Sangon Biotech Co., Ltd. (Shanghai, China). JAG1 overexpression plasmid was synthesized by ligating the cDNA of JAG1 into pcDNA3.1 vector. They were transfected into the cells using Lipofectamine 2000 (Thermo Fisher Scientific, Inc.), following the manufacturer's instructions. Briefly, 50 nM RNA oligonucleotides or 100 ng plasmids, and 10 µl lipofectamine were diluted in 250 µl Opti-MEM (Thermo Fisher Scientific, Inc.). Then they were mixed and incubated at room temperature for 20 min to form a complex. Cells (1×105) were incubated with the complex for 6 h and then the cells were maintained in fresh medium for at least 24 h prior to analyses.

Luciferase reporter assay

TargetScan 7.1 software (http://www.targetscan.org/vert_71/) was used to predict the targets of miR-140-5p, and JAG1 was found to be a target gene. The wild type and mutant 3′-untranslated region (UTR) of JAG1 were cloned from JAG1 cDNA (accession number: NM_000214.2) and inserted into the pmirGLO luciferase reporter vector (Promega Corporation, Madison, WI, USA) in the XhoI/XbaI sites. Primers used in this study were: wild type, forward (F) 5′-CCGCTCGAGAACCAGCAACGATCACAA-3′ and reverse (R) 5′-TCTAGAGCAAAGCCGGTAGAACTACG-3′; mutant, F 5′-CCGCTCGAGCATAATACTGTTACTACTGTAGATTTGA-3′ and R 5′-TCTAGAGCAAAGCCGGTAGAACTACG-3′. The conditions for PCR amplification were: 95°C for 5 min, followed by 32 cycles of 95°C for 20 sec, 56°C for 30 sec, and 72°C for 70 sec. For the luciferase assay, the HEK293 cells were transfected with the JAG1 3′UTR-pmirGLO plasmid and miR-140-5p mimic or miR-control, using Lipofectamine 2000. The pRL-TK Renilla luciferase reporter vector (Promega Corporation) was used as an internal control for normalization. Luciferase activity in the cells was determined using a Luciferase Reporter Assay system (Promega Corporation).

3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay

MTT assay was used to determine cell growth by measuring the numbers of live cells over 96 h. Cells were plated at a density of 1×104 cells/well, and the cells were allowed to grow for 24, 48, 72 and 96 h in 96-well plates, and then incubated with MTT (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) at 37°C, according to the manufacturer's instructions. Following 4 h, dimethyl sulfoxide was added to solubilize the formazan crystals. Absorbance at 570 nm was measured using a Multiskan Ascent plate reader (Thermo Fisher Scientific, Inc.). Results were calculated relative to optical density of blank cells at 570 nm at 24 h.

Transwell invasion assay

Transwell invasion assays were used to measure cell invasion ability. The Transwell inserts (Corning, Inc., Corning, NY, USA) were precoated with Matrigel (BD Biosciences, Franklin Lakes, NJ, USA) at 37°C for 30 min. The resuspended cells (2 ml) at the final concentration of 5×104 cells/ml in serum-free medium were added to the upper chambers, and cell culture medium containing 10% FBS was added to the lower chambers. Following incubation at 37°C for 12 h, a cotton swab was used to gently remove the non-invasive cells which remained on the upper surface of the membrane. The invasive cells which migrated on the lower surface of the membrane were fixed with 95% ethanol for 30 min, and then stained with hematoxylin (Beyotime Institute of Biotechnology, Shanghai, China) for 10 min at room temperature. The number of invaded cells was counted in 10 randomly selected fields using an inverted light microscope (37XC; Shanghai Optical Instrument Co., Ltd., Shanghai, China). Results are presented as the mean number of cells per field.

Cell adhesion assay

Cell adhesion was examined using 96-well plates coated with fibronectin (Sigma-Aldrich; Merck KGaA). The plates were blocked with 1% bovine serum albumin (BSA; Sigma-Aldrich; Merck KGaA) at room temperature for 2 h. The cells were suspended to the density of 3×105 cells/ml, and 200 µl cell suspension were cultured in serum-free medium at 37°C for 2 h. After washing with PBS, the adhesive cells were fixed with 4% paraformaldehyde (Sangon Biotech Co., Ltd.) for 15 min and then stained with 0.1% crystal violet (Sangon Biotech Co., Ltd.) for 20 min. 12% SDS was added to dissolve the crystals and the absorbance at 570 nm was measured using a microplate reader. Results were calculated relative to optical density at 570 nm of blank cells.

Western blot analysis

The proteins were extracted from the cells using Western and Immunoprecipitation Cell Lysis buffer (Sangon Biotech Co., Ltd.). Briefly, 5×105 cells were incubated with 50 µl cell lysis buffer at 4°C for 20 min. and protein concentrations were determined using a bicinchoninic acid protein assay kit (Sangon Biotech Co., Ltd.). Equal amounts of total protein (20 µg) were separated on 8% SDS polyacrylamide gel electrophoresis, and then transferred to nitrocellulose membranes (Merck KGaA). Following blocking in tris-buffered saline containing 3% BSA at 4°C overnight, the membranes were incubated with rabbit polyclonal antibody to JAG1 (1:500 dilution; cat no. ab7771; Abcam, Cambridge, MA, USA) and rabbit polyclonal antibody to β-actin (1:1,000 dilution; cat no. ab8227; Abcam) at 4°C overnight. Subsequently, the membranes were incubated with goat anti-rabbit horseradish peroxidase-conjugated secondary antibody (1:2,000 dilution; cat no. ab205718; Abcam) at room temperature for 2 h. The signals were detected using a chemiluminescence detection kit (Pierce; Thermo Fisher Scientific, Inc.), and band intensities were quantified using ImageJ version 1.46 (National Institutes of Health, Bethesda, MD, USA) (28).

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA was isolated from the cells using TRIzol reagent (Thermo Fisher Scientific, Inc.), and miRNAs were isolated from tissues and cells using the miRNeasy Mini kit (Qiagen GmbH, Hilden, Germany), as per the manufacturer's instructions. Total RNA (1 µg) was converted into cDNA using a RevertAid First Strand cDNA Synthesis kit (Thermo Fisher Scientific, Inc.), as per the manufacturer's instructions. Dilute the cDNA samples at 1:5 in RNAse free water. Subsequently, the qPCR reactions were carried out using a SYBR-Green PCR Master Mix (Applied Biosystems; Thermo Fisher Scientific, Inc.) in a 7900 Real-Time PCR system (Applied Biosystems; Thermo Fisher Scientific, Inc.). The primers used in this study were: miR-140-5p, F 5′-CAGTGGTTTTACCCTATGGTAG-3′ and R 5′-TGGTGTCGTGGAGTCG-3′; U6, F 5′-CTCGCTTCGGCAGCACA-3′ and R 5′AACGCTTCACGAATTTGCGT-3′; JAG1, F 5′-GACTCATCAGCCGTGTCTCA-3′ and R 5′-TGGGGAACACTCACACTCAA-3′; β-actin, F 5′-GGACTTCGAGCAAGAGATGG-3′ and R 5′-AGCACTGTGTTGGCGTACAG-3′. The conditions for PCR amplification were: 95°C for 5 min, followed by 40 cycles of 95°C for 20 sec, 60°C for 30 sec, and 72°C for 30 sec. The U6 spliceosomal RNA gene or the β-actin gene were used as internal controls for miRNA and mRNA expression respectively. The relative mRNA expression levels were calculated in accordance with the 2−∆∆Cq method (29).

Statistical analysis

Data are presented as the mean ± standard deviation of three independent experiments. Statistical analysis was performed using SPSS 19.0 statistical software (IBM SPSS, Armonk, NY, USA). Student's t-test or one-way analysis of variance followed by least significant difference test were used to analyze the statistical difference between groups. P<0.05 was considered to indicate a statistically significant difference.

Results

Expression of miR-140-5p in human glioma tissues and cell lines

RT-qPCR was used to detect the relative expression levels of miR-140-5p in human glioma tissues and cell lines. Compared with adjacent normal tissues, the relative expression levels of miR-140-5p were significantly decreased in the low-grade and high-grade human glioma tissues (P<0.01; Fig. 1A). Furthermore, miR-140-5p expression was significantly lower in the high-grade gliomas compared with the low-grade gliomas (P<0.05; Fig. 1A). Next, miR-140-5p expression was examined in normal human astrocytes and in five glioma cell lines, U-87, LN-18, U-118, U-138 and SW1783. As demonstrated in Fig. 1B, the relative expression levels of miR-140-5p was significantly lower in the glioma cell lines compared with the normal human astrocytes.

Effect of miR-140-5p on glioma cell growth, invasion and adhesion

A miR-140-5p mimic or a miR-140-5p inhibitor was transfected into the SW1783 glioma cells in vitro, in order to overexpress or suppress miR-140-5p expression respectively. As demonstrated by RT-qPCR analysis, transfection with a miR-control did not alter miR-140-5p expression compared with the untransfected blank group (Fig. 2A). However, the relative expression levels of miR-140-5p were significantly increased in the mimic group and significantly decreased in the inhibitor group, compared with the miR-control group (P<0.01; Fig. 2A).

The effect of miR-140-5p on glioma cell growth was determined by MTT assay. The results demonstrated that transfection with the miR-140-5p mimic significantly decreased the number of live cells over 96 h, while transfection with the miR-140-5p inhibitor significantly increased the number of live cells, compared with the miR-control group (Fig. 2B).

Transwell invasion assay was used to examine the ability of the cells to invade through matrigel. The results demonstrated that, compared with the control, miR-140-5p mimic transfection resulted in decreased numbers of invaded cells, while miR-140-5p inhibitor transfection had the opposite effect (P<0.05; Fig. 2C).

Finally, a cell adhesion assay revealed that, compared with the cells transfected with the miR-control, the cells transfected with the miR-140-5p mimic exhibited decreased cell adhesive ability (P<0.01; Fig. 2D). By contrast, the cell adhesive ability was significantly increased in the cells transfected with the miR-140-5p inhibitor compared with the miR-control group (P<0.05; Fig. 2D).

Effect of miR-140-5p on JAG1 expression in glioma cells

JAG1 was predicted to be a target gene of miR-140-5p by using TargetScan 7.1 software (http://www.targetscan.org/vert_71/). To verify the effect of miR-140-5p on JAG1 expression, the miR-140-5p mimic or the miR-140-5p inhibitor was transfected into the SW1783 glioma cells, and expression of JAG1 was examined by RT-qPCR and western blotting. Transfection with the miR-140-5p mimic significantly inhibited JAG1 expression compared with control, both at the mRNA and protein level (Fig. 3). By contrast, transfection with the miR-140-5p inhibitor significantly increased JAG1 mRNA and protein expression levels, compared with control (Fig. 3).

JAG1 is a direct target of miR-140-5p

A dual-luciferase reporter assay was used in order to determine whether JAG1 was a direct target of miR-140-5p. The wild-type or mutant JAG1 3′UTR was cloned into the pmirGLO vector, and co-transfected into HEK293 cells with either the miR-140-5p mimic or the miR-control. The results revealed that, compared with control, transfection of the miR-140-5p mimic significantly repressed the luciferase activity of wild-type JAG1 3′UTR (P<0.01; Fig. 4). By contrast, transfection of the miR-140-5p mimic had no effect on the mutant JAG1 3′UTR luciferase activity compared with control (P>0.05; Fig. 4).

JAG1 mediates the effect of miR-140-5p on glioma cell growth, invasion and adhesion

JAG1 overexpression plasmid or JAG1 siRNA was used to overexpress or silence JAG1 respectively, and they were transfected into SW1783 cells together with the miR-140-5p mimic or inhibitor. As demonstrated by western blot analysis, the relative protein level of JAG1 was significantly higher in the cells transfected with the miR-140-5p mimic and the JAG1 overexpression plasmid, compared with the cells transfected with the mimic alone (P<0.01; Fig. 5A). Importantly, JAG1 overexpression attenuated the inhibitory effect of miR-140-5p on glioma cell growth (Fig. 5B), invasion (Fig. 5C) and adhesion (Fig. 5D).

By contrast, cells transfected with the miR-140-5p inhibitor and the JAG1 siRNA exhibited a significantly downregulated JAG1 protein expression compared with cells transfected with the inhibitor only (P<0.01; Fig. 6A). As expected, JAG1 silencing by siRNA reversed the miR-140-5p inhibitor-mediated increased cell growth (Fig. 6B), invasion (Fig. 6C) and adhesion (Fig. 6D) in SW1783 glioma cells.

Discussion

Abnormal expression of miR-140-5p is implicated in several types of cancer (17,30). miR-140-5p has been reported to suppress the growth and metastasis of hepatocellular carcinoma, and its expression levels are correlated with various clinical characteristics of hepatocellular carcinoma, including vein invasion, multiple nodules, capsular formation, as well as overall and disease-free survival (30). miR-140-5p affects the proliferation of lung cancer cells by regulating mitogen-activated protein kinase 1 signaling (19). Upregulation of miR-140-5p suppresses migration and invasion of FaDu hypopharyngeal carcinoma cells by inhibiting the ADAM metallopeptidase domain 10-mediated Notch1 signaling pathway, suggesting that miR-140-5p may have potential therapeutic applications in hypopharyngeal squamous cell carcinoma (31). Consistent with previous studies, the present study demonstrated that miR-140-5p was significantly downregulated in human glioma tissues and cell lines compared with normal tissues, indicating that miR-140-5p may be a tumor suppressor in human gliomas. In addition, miR-140-5p expression was significantly correlated with the grade of gliomas, suggesting that miR-140-5p may be important in glioma progression. Subsequently, in vitro gain-of-function and loss-of-function experiments were performed to investigate the effect of miR-140-5p on glioma cell growth, invasion and adhesion. The present results revealed that miR-140-5p suppressed cell growth, invasion and adhesion in SW1783 glioma cells, suggesting that miR-140-5p may have an inhibitory effect on glioma growth and metastasis. Consistent with the role of miR-140-5p in other types of cancer, this study demonstrated for the first time that miR-140-5p acts as a tumor suppressor in human gliomas.

JAG1 mediates multiple signaling pathways, and is important in both physiological and pathological conditions (3237). It has been demonstrated that JAG1 is overexpressed in various types of cancer, and it is involved in several aspects of tumor biology, including cell growth, apoptosis, cancer stem cell maintenance, epithelial-mesenchymal transition and metastasis (38). Fiaschetti et al (39) revealed that JAG1 is overexpressed in the majority of medulloblastoma (MB), and JAG1 is crucial in maintaining Notch-related pro-survival functions in MB cells (39). In the present study, JAG1 expression was demonstrated to be regulated by miR-140-5p in glioma cells. JAG1 was predicted to be a target gene of miR-140-5p by using TargetScan 7.1 software (http://www.targetscan.org/vert_71/). Using a dual-luciferase reporter assay, the present study confirmed that miR-140-5p inhibited JAG1 expression by directly targeting the 3′UTR of JAG1. Furthermore, the effect of miR-140-5p on glioma cell proliferation, invasion and adhesion was reversed by JAG1 overexpression, suggesting that JAG1 mediated the effect of miR-140-5p on glioma cell growth and invasion.

In conclusion, the present study revealed that miR-140-5p was downregulated in human glioma tissues and cell lines compared with normal tissues. miR-140-5p exerted its inhibitory effect on glioma growth and invasion at least partly by suppressing JAG1 expression. The present study revealed a novel molecular mechanism underlying human glioma growth and invasion, and provided a potential novel target for the treatment of gliomas.

References

1 

Dolecek TA, Propp JM, Stroup NE and Kruchko C: CBTRUS statistical report: Primary brain and central nervous system tumors diagnosed in the United States in 2005–2009. Neuro Oncol. 14:(Suppl 5). v1–v49. 2012. View Article : Google Scholar : PubMed/NCBI

2 

Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW and Kleihues P: The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol. 114:97–109. 2007. View Article : Google Scholar : PubMed/NCBI

3 

Chi Y and Zhou D: MicroRNAs in colorectal carcinoma-from pathogenesis to therapy. J Exp Clin Cancer Res. 35:432016. View Article : Google Scholar : PubMed/NCBI

4 

Li Y and Sarkar FH: MicroRNA targeted therapeutic approach for pancreatic cancer. Int J Biol Sci. 12:326–337. 2016. View Article : Google Scholar : PubMed/NCBI

5 

Kuninty PR, Schnittert J, Storm G and Prakash J: MicroRNA targeting to modulate tumor microenvironment. Front Oncol. 6:32016. View Article : Google Scholar : PubMed/NCBI

6 

Sun W, Li YS Julie, Huang HD, Shyy JY and Chien S: microRNA: A master regulator of cellular processes for bioengineering systems. Annu Rev Biomed Eng. 12:1–27. 2010. View Article : Google Scholar : PubMed/NCBI

7 

Ambros V: The functions of animal microRNAs. Nature. 431:350–355. 2004. View Article : Google Scholar : PubMed/NCBI

8 

Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, Sweet-Cordero A, Ebert BL, Mak RH, Ferrando AA, et al: MicroRNA expression profiles classify human cancers. Nature. 435:834–838. 2005. View Article : Google Scholar : PubMed/NCBI

9 

Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F, Visone R, Iorio M, Roldo C, Ferracin M, et al: A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA. 103:2257–2261. 2006. View Article : Google Scholar : PubMed/NCBI

10 

Hurst DR, Edmonds MD and Welch DR: Metastamir: The field of metastasis-regulatory microRNA is spreading. Cancer Res. 69:7495–7498. 2009. View Article : Google Scholar : PubMed/NCBI

11 

Iorio MV and Croce CM: MicroRNA dysregulation in cancer: Diagnostics, monitoring and therapeutics. A comprehensive review. EMBO Mol Med. 4:143–159. 2012. View Article : Google Scholar : PubMed/NCBI

12 

Manrique-Guzmán S: Biomarkers in high-grade gliomas: A systematic review. Gac Med Mex. 152:87–93. 2016.(In Spanish). PubMed/NCBI

13 

Silber J, James CD and Hodgson JG: microRNAs in gliomas: Small regulators of a big problem. Neuromolecular Med. 11:208–222. 2009. View Article : Google Scholar : PubMed/NCBI

14 

Wong JW: MicroRNA-induced silencing of glioma progression. J Neurosci. 30:3868–3869. 2010. View Article : Google Scholar : PubMed/NCBI

15 

Yang HW, Xing H and Johnson MD: A major role for microRNAs in glioblastoma cancer stem-like cells. Arch Pharm Res. 38:423–434. 2015. View Article : Google Scholar : PubMed/NCBI

16 

Costa PM, Cardoso AL, Mano M and de Lima MC: MicroRNAs in glioblastoma: Role in pathogenesis and opportunities for targeted therapies. CNS Neurol Disord Drug Targets. 14:222–238. 2015. View Article : Google Scholar : PubMed/NCBI

17 

Yang H, Fang F, Chang R and Yang L: MicroRNA-140-5p suppresses tumor growth and metastasis by targeting transforming growth factor β receptor 1 and fibroblast growth factor 9 in hepatocellular carcinoma. Hepatology. 58:205–217. 2013. View Article : Google Scholar : PubMed/NCBI

18 

Kai Y, Peng W, Ling W, Jiebing H and Zhuan B: Reciprocal effects between microRNA-140-5p and ADAM10 suppress migration and invasion of human tongue cancer cells. Biochem Biophys Res Commun. 448:308–314. 2014. View Article : Google Scholar : PubMed/NCBI

19 

Li W and He F: Monocyte to macrophage differentiation-associated (MMD) targeted by miR-140-5p regulates tumor growth in non-small cell lung cancer. Biochem Biophys Res Commun. 450:844–850. 2014. View Article : Google Scholar : PubMed/NCBI

20 

Zhai H, Fesler A, Ba Y, Wu S and Ju J: Inhibition of colorectal cancer stem cell survival and invasive potential by hsa-miR-140-5p mediated suppression of Smad2 and autophagy. Oncotarget. 6:19735–19746. 2015. View Article : Google Scholar : PubMed/NCBI

21 

Li WB, Chen HY, Zhang W, Yan W, Shi R, Li SW and Jiang T: Relationship between magnetic resonance imaging features and miRNA gene expression in patients with glioblastoma multiforme. Chin Med J (Engl). 126:2881–2885. 2013.PubMed/NCBI

22 

Xiao YF, Yong X, Tang B, Qin Y, Zhang JW, Zhang D, Xie R and Yang SM: Notch and Wnt signaling pathway in cancer: Crucial role and potential therapeutic targets (Review). Int J Oncol. 48:437–449. 2016.PubMed/NCBI

23 

Shimizu K, Chiba S, Saito T, Kumano K and Hirai H: Physical interaction of Delta1, Jagged1, and Jagged2 with Notch1 and Notch3 receptors. Biochem Biophys Res Commun. 276:385–389. 2000. View Article : Google Scholar : PubMed/NCBI

24 

Zhu TS, Costello MA, Talsma CE, Flack CG, Crowley JG, Hamm LL, He X, Hervey-Jumper SL, Heth JA, Muraszko KM, et al: Endothelial cells create a stem cell niche in glioblastoma by providing NOTCH ligands that nurture self-renewal of cancer stem-like cells. Cancer Res. 71:6061–6072. 2011. View Article : Google Scholar : PubMed/NCBI

25 

Jeon HM, Kim SH, Jin X, Park JB, Kim SH, Joshi K, Nakano I and Kim H: Crosstalk between glioma-initiating cells and endothelial cells drives tumor progression. Cancer Res. 74:4482–4492. 2014. View Article : Google Scholar : PubMed/NCBI

26 

Purow BW, Haque RM, Noel MW, Su Q, Burdick MJ, Lee J, Sundaresan T, Pastorino S, Park JK, Mikolaenko I, et al: Expression of Notch-1 and its ligands, Delta-like-1 and Jagged-1, is critical for glioma cell survival and proliferation. Cancer Res. 65:2353–2363. 2005. View Article : Google Scholar : PubMed/NCBI

27 

Jubb AM, Browning L, Campo L, Turley H, Steers G, Thurston G, Harris AL and Ansorge O: Expression of vascular Notch ligands Delta-like 4 and Jagged-1 in glioblastoma. Histopathology. 60:740–747. 2012. View Article : Google Scholar : PubMed/NCBI

28 

Schneider CA, Rasband WS and Eliceiri KW: NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 9:671–675. 2012. View Article : Google Scholar : PubMed/NCBI

29 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

30 

Zhang W, Zou C, Pan L, Xu Y, Qi W, Ma G, Hou Y and Jiang P: MicroRNA-140-5p inhibits the progression of colorectal cancer by targeting VEGFA. Cell Physiol Biochem. 37:1123–1133. 2015. View Article : Google Scholar : PubMed/NCBI

31 

Jing P, Sa N, Liu X, Liu X and Xu W: MicroR-140-5p suppresses tumor cell migration and invasion by targeting ADAM10-mediated Notch1 signaling pathway in hypopharyngeal squamous cell carcinoma. Exp Mol Pathol. 100:132–138. 2016. View Article : Google Scholar : PubMed/NCBI

32 

Chen X, Stoeck A, Lee SJ, Shih IeM, Wang MM and Wang TL: Jagged1 expression regulated by Notch3 and Wnt/β-catenin signaling pathways in ovarian cancer. Oncotarget. 1:210–218. 2010. View Article : Google Scholar : PubMed/NCBI

33 

Yamamoto M, Taguchi Y, Ito-Kureha T, Semba K, Yamaguchi N and Inoue J: NF-κB non-cell-autonomously regulates cancer stem cell populations in the basal-like breast cancer subtype. Nat Commun. 4:22992013. View Article : Google Scholar : PubMed/NCBI

34 

Choi K, Ahn YH, Gibbons DL, Tran HT, Creighton CJ, Girard L, Minna JD, Qin FX and Kurie JM: Distinct biological roles for the notch ligands Jagged-1 and Jagged-2. J Biol Chem. 284:17766–17774. 2009. View Article : Google Scholar : PubMed/NCBI

35 

Wang Z, Li Y, Banerjee S, Kong D, Ahmad A, Nogueira V, Hay N and Sarkar FH: Down-regulation of Notch-1 and Jagged-1 inhibits prostate cancer cell growth, migration and invasion, and induces apoptosis via inactivation of Akt, mTOR and NF-kappaB signaling pathways. J Cell Biochem. 109:726–736. 2010.PubMed/NCBI

36 

Zeng Q, Li S, Chepeha DB, Giordano TJ, Li J, Zhang H, Polverini PJ, Nor J, Kitajewski J and Wang CY: Crosstalk between tumor and endothelial cells promotes tumor angiogenesis by MAPK activation of Notch signaling. Cancer Cell. 8:13–23. 2005. View Article : Google Scholar : PubMed/NCBI

37 

Zavadil J, Cermak L, Soto-Nieves N and Böttinger EP: Integration of TGF-beta/Smad and Jagged1/Notch signalling in epithelial-to-mesenchymal transition. EMBO J. 23:1155–1165. 2004. View Article : Google Scholar : PubMed/NCBI

38 

Li D, Masiero M, Banham AH and Harris AL: The notch ligand JAGGED1 as a target for anti-tumor therapy. Front Oncol. 4:2542014. View Article : Google Scholar : PubMed/NCBI

39 

Fiaschetti G, Schroeder C, Castelletti D, Arcaro A, Westermann F, Baumgartner M, Shalaby T and Grotzer MA: NOTCH ligands JAG1 and JAG2 as critical pro-survival factors in childhood medulloblastoma. Acta Neuropathol Commun. 2:392014. View Article : Google Scholar : PubMed/NCBI

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September-2017
Volume 16 Issue 3

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Spandidos Publications style
Yang HL, Gao YM and Zhao JA: miR‑140‑5p inhibits human glioma cell growth and invasion by targeting JAG1. Mol Med Rep 16: 3634-3640, 2017
APA
Yang, H., Gao, Y., & Zhao, J. (2017). miR‑140‑5p inhibits human glioma cell growth and invasion by targeting JAG1. Molecular Medicine Reports, 16, 3634-3640. https://doi.org/10.3892/mmr.2017.6951
MLA
Yang, H., Gao, Y., Zhao, J."miR‑140‑5p inhibits human glioma cell growth and invasion by targeting JAG1". Molecular Medicine Reports 16.3 (2017): 3634-3640.
Chicago
Yang, H., Gao, Y., Zhao, J."miR‑140‑5p inhibits human glioma cell growth and invasion by targeting JAG1". Molecular Medicine Reports 16, no. 3 (2017): 3634-3640. https://doi.org/10.3892/mmr.2017.6951