Abstract
Accumulating data demonstrates that the network dysregulation of microRNA-medicated target genes is involved in glioma. We have previously found miR-19a/b overexpression in glioma cell lines and specimens with various tumour grades. However, there was no report on the function and regulatory mechanism of miR-19a/b in glioma. In this study, based on our previous research data, we first determine the inverse relationship between miR-19 (miR-19a and miR-19b) and RUNX3 which is also identified the reduced expression in tumour tissues by real-time PCR and IHC. Luciferase reporter assay and western blot analysis revealed that RUNX3 was a direct target of miR-19. Down-regulation of miR-19 dramatically inhibited proliferation, invasion and induced the cell cycle G1 arrest and apoptosis, at least partly via the up-regulation of RUNX3. Furthermore, Mechanistic investigation indicated that knockdown of miR-19 repressed the β-catenin/TCF4 transcription activity. In conclusion, our study validates a pathogenetic role of miR-19 in glioma and establishes a potentially regulatory and signaling involving miR-19 /RUNX3/β-catenin, also suggesting miR-19 may be a candidate therapeutic target in glioma.
Keywords: miR-19, RUNX3, β-catenin, TCF4, glioma
INTRODUCTION
Glioblastoma is the most malignant and incurable primary brain tumour with poor prognosis despite progress in surgical techniques, radio-therapy and chemotherapy [1]. Glioblastomas are also characterized by multiple genetic alterations such as epidermal growth factor receptor (EGFR) amplification, PTEN mutations as well as various signaling pathways including PI3K/AKT/mTOR pathway, Wnt/β-catenin pathway and P53 signaling pathway [2, 3]. It is not sufficient to enable great progress in individualized and targeted therapy in spite of accumulating evidence of glioblastoma molecular pathology. Therefore, it is essential to further understand molecular mechanisms involved in the development and progression, providing insights into specific therapeutic strategies.
MicroRNAs are endogenously expressed regulatory noncoding RNAs that negatively regulate gene expression in post-transcription by directly binding to the 3′untranslated region (3′UTR) of target mRNAs [4]. Accumulating data indicate that dysregulation of microRNA activity has been shown to play crucial roles in tumour initiation and progression, including gliomagenesis [5, 6]. For instance, miR-21, the first verified the oncogenic microRNA in malignant gliomas, is involved in cell proliferation, apoptosis and invasiveness via targeting anti-tumour genes of P53,TGF-β and mitochondrial apoptotic pathways [7, 8]. Each microRNA can potentially regulate a considerable body of mRNA targets and function as oncogenes or tumour suppressors [9]. Our previous study demonstrated that miR-19 composed of miR-19a and miR-19b was overexpressed in glioma cell lines and tissue samples with different grades of malignancy, as verified by real-time PCR and in-situ hybridization [10]. However, its biological roles and the molecular mechanisms underlying gliomagenesis remain poorly understood.
RUNX3 gene is located in 1p36, a region of frequently genomic loss in a wide variety of human carcinomas, including glioblastoma [11, 12]. RUNX3 was reported to be downexpressed primary glioblastomas, and its overexpression resulted in significantly repressed cell invasion and migration abilities [13]. However, there was no report indicated the potentially regulatory and signaling pathway involving miR-19/RUNX3 in glioma.
In the present study, we first determine the inverse correlation between miR-19 and RUNX3. In addition, we also examined the reduced expression of RUNX3 in resected tissue specimens by real-time PCR and IHC, which is consistent with the previous results. Furthermore, our data demonstrated that RUNX3 is a direct target of miR-19 and suppression of miR-19 inhibited glioma cell proliferation, invasion and induced apoptosis at least partly through RUNX3, subsequently blocked the Wnt/β-catenin signaling pathway. Therefore, we explored the potential pathway involving miR-19/RUNX3/β-catenin trying to elucidate the related mechanism in glioma, also suggesting that miR-19 may be a possible diagnostic therapeutic approach that deserves further evaluation in GBM.
RESULTS
Analysis on expression of miR-19 and RUNX3 with the tumour grade
Firstly, we analysize the relationship on expression of miR19 and RUNX3 with different tumour grades according to WHO classification scheme. Our previous study has demonstrated that miR-19 was overexpressed in malignant gliomas cell lines and tissue specimens and the results were published in Pathol. Oncol. Res. (2013). Moreover, our data also indicated that RUNX3 is frequently downregulated in gliomas cell lines and tissue specimens with qRT-PCR, western blot and immunohistochemical staining respectively (data not shown). Based on the recent results, association for expression of miR-19 and RUNX3 with the tumor grade was analyzed in Figure 1A and 1B, suggesting that miR-19 is positively correlated with the tumor grade while RUNX3 is highly expressed in normal brain tissue and negatively correlated with the tumor grade. To verify the expression of RUNX3 besides tissue microarray, we used Real-time PCR and Immunohistochemical staining to detect clinical 43 resected glioma tissue samples. Figure 1C and 1D indicated that RUNX3 is overexpressed remarkably in normal brain tissue compared with glioma specimens, especially high-grade gliomas.
RUNX3 is a direct target gene of miR-19
To explore the detailed correlation between miR-19 and RUNX3, miRNA targets prediction database was searched through Targetscan, Pictar and miRanda. 3′UTR of RUNX3 was found to contain the highly conserved binding sites of miR-19a/b (Figure 2A). To test whether miR-19a/b regulates RUNX3 expression in vitro, we used AS-miR-19a/b (miR-19a/b antisense oligonucleotide) to reduce the miR19a/b expression level in gliomas LN229 and U87 cell lines. Our results demonstrated that AS-miR-19a/b could markedly decrease the miR-19a/b expression by real-time PCR, evident in cell lines co-transfected with AS-miR-19a and AS-miR-19b (Figure 2B). There was a decrease in the RUNX3 protein expression level 48h after transfection with AS-miR-19a/b (Figure 2C). To further verify RUNX3 is a direct target gene of miR-19a/b, we constructed the pEZX -RUNX3 plasmid containing 3′UTR of RUNX3 and conducted a reporter gene assay. As shown in Figure 2D, reporter assay revealed that the reduction of miR-19a/b led to a remarkable increase of luciferase activity in pEZX-WT-RUNX3 combined with AS-miR-19a/b transtracted cells, whereas no change of luciferase activity was found in the mutant pEZX-MUT-RUNX3 with miR-C (miR-control) transfected cells. These evidences indicated that miR-19a/b directly modulated RUNX3 expression by binding to 3′UTR of RUNX3.
Down-regulation of miR-19 inhibits glioma cell proliferation and invasion and induces apoptosis partly dependent on the gene RUNX3 in vitro
Our results have demonstrated that AS-miR-19a/b could remarkably up-regulated expression of RUNX3. In order to explore the function of RUNX3 on glioma malignant phenotype by AS-miR-19a/b in LN229 and U87 cell lines, we used the small interfering RNAs to knockdown the RUNX3 level. A significant decrease in the cell viability was observed over time in glioma cells with low miR-19a/b expression compared with the cells that had no transfection of AS-miR-19 as observed with the MTT assay, moreover, knockdown of RUNX3 in cells transfected with AS-miR-19a/b partly abolished the effect on the cell prolification of AS-miR-19a/b (Figure 3A). Next, to analyze the mechanism of cell growth arrest caused by miR-19a/b inhibition, we assessed cell cycle distribution of glioma cells transfected with miR-19a/b inhibitor or control oligo as well as co-transfection between AS-miR19a/b and RUNX3 siRNA. MiR-19a/b inhibition caused cell cycle arrest in the G0/G1 phase, whereas the transfection of RUNX3 siRNA also abrogated the effect of AS-miR-19a/b on cell cycle arrest (Figure 3B). These observations suggest that miR-19a/b deletion suppresses the proliferation of glioma cells, partially dependent on the RUNX3 in LN229 and U87cell lines.
We further performed the invasive ability examination and apoptosis detection in LN229 and U87 cells transfected with AS-miR-19a/b and co-transfected with RUNX3 siRNA using transwell assays and flow cytometric analysis of Annexin-V-PI staining respectively. In both cell lines, the average apoptotic cell fractions (Early apoptotic + Apoptotic) were significantly increased with miR-19a/b inhibition compared to the scramble while the invasive ability of tumor cells markedly decreased after transfection of AS-miR-19a/b. Consistent with the results of proliferation, the inhibitory on invasion and apoptosis induction caused by AS-miR-19a/b were partly weakened obviously via co-transfection of RUNX3 siRNA which down-regulated the expression of RUNX3 (Figure 3C, 3D).
RUNX3 partly restored phenotype effect of miR-19a/b repression in glioma cells
To further explore RUNX3 antitumor effect on miR-19a/b medicated cell biology, we examined the proliferation, cell cycle distribution, apoptosis and invasiveness in LN229 and U87 cells treated with RUNX3 recombinant adenovirus (rAd-RUNX3) and miR-19a/b mimics combined with rAd-RUNX3. Real-time PCR and western blot assay verified overexpression of RUNX3 after transfected rAd-RUNX3 (Figure 4A, 4B). Consistent with previous results, proliferation, cell cycle distribution, transwell and apoptosis assay revealed that RUNX3 restoration established a remarkable antitumor effect similar to phenotype observed upon miR-19a/b inhibition in LN229 and U87 cell lines. However, co-transfection of miR-19a/b mimics and RUNX3 in cells partly reversed the antitumour effects induced by RUNX3 (Figure 4C–4F). These results suggest the carcinogenesis effect of miR-19a/b in part facilitated by RUNX3 down-regulation.
MiR-19a/b abrogation represses the β-catenin/Tcf-4 signaling pathway
Our experimental data has established that RUNX3 could inhibit Wnt/β-catenin signaling pathway which has not been published. Combined with RUNX3 regulation by miR-19a/b, we put on hypothesis that miR-19a/b could regulate Wnt/β-catenin pathway. In order to test it, Top/Fop flash luciferase assay was utilized in cells in which miR-19a/b deletion or RUNX3 expression restoration. In LN229 and U87 cells, AS-miR-19a/b or RUNX3 reduced TOP with no obvious change in Fop flash luciferase activities (Figure 5A). In addition, western blot assay demonstrated that depletion of miR-19a/b or overexpression of RUNX3 decreased the expression of β-catenin in nucleas (Figure 5B).
Confirming the essential role of the β-catenin/Tcf-4 pathway as mediators of miR-19a/b, real-time PCR and western blot assay indicated reduced relative expression of TCF4, CyclinD1, C-MYC, AKT1 and VEGF in cells with low miR-19a/b expression (Figure 5C, 5D). These data suggest miR-19a/b regulate β-catenin/Tcf-4 transcriptional activities via RUNX3, at least in LN229 and U87 cells.
AS-miR-19a/b inhibits tumor growth in vivo
AS-miR-19a/b repressed the proliferation, invasion of glioma cells and targeted regulation for RUNX3 in vitro, we further examined its effect on tumor growth in vivo. Bioluminescence imaging was used to assess the tumor formation when the nude mice were intracranial transplanted with U87 cells that stably express luciferase and miR-19a/b inhibitors. As-miR19a/b-treated U87 cells displayed a markedly reduction of the tumor (Figure 6A, 6B). To analyze the survival times between two groups, we then generated Kaplan-Meier survival curves, which demonstrated that AS-miR19a/b significantly prolonged survival (Figure 6C). Moreover, AS-miR19a/b group exhibited increased expression of RUNX3 and decreased expression of β-catenin and CyclinD1 as verified by IHC assay (Figure 6D). Furthermore, AS-miR19a/b group had more apoptotic nucleuses verified by TUNEL evaluation (Figure 6E).
DISCUSSION
Our previous study has verified that miR-19a/b was over-expressed in glioma cell lines and tissue specimens with the distinct grade (Pathol. Oncol. Res. (2013) 19:847–853). Meanwhile, we also demonstrated that RUNX3 was down-regulated in GBM cell lines and glioma tissues (data not shown). Based on our data studies for tissue chip, in the present study, we first display the relationship between the expression of miR-19a/b and RUNX3 with WHO grade respectively, suggesting the inverse correlation both miR-19a/b and RUNX3. Furthermore, we analyzed 43 resected tissue specimens verified by Real-time PCR and IHC, also indicating that RUNX3 had reduced expression in tissue specimens and negatively correlated with the grade. Our data demonstrated that miR-19 and RUNX3 are considered as oncogene factor and tumor suppressor in glioma respectively, however, the functional roles of them as well as the underlying relationship between them remain poorly understood.
MicroRNAs are increasingly shown as oncogene or anti-tumor genes that regulate gene expression in post transcription [14, 15]. Recent study demonstrated that microRNA-19a promotes gliomas cell growth by repressing LRIG1 which is a pan-negative regulator of membrane-bound receptor tyrosine kinases(RTKs) [16]. Our previous data also verified that PTEN is a candicate direct target gene by miR-19a/b, which is consistent with the results for breast cancer and T-cell lymphoma [10, 17, 18]. Using four algorithms (TargetScan, PicTar, miRanda, miRbase Target), we were prone to predict that miR-19a/b directly binds to 3′UTR of RUNX3. Furthermore, we performed a 3′UTR luciferase assay and observed that luciferase activity was remarkably increased after co-transfection of the miR-19a/b inhibitors and a 3′UTR vector containing target sequence.RUNX3 protein level was also markedly up-regulated in LN229 and U87 cells that were transfected with the miR-19a/b inhibitors, suggesting that RUNX3 is a direct target of miR-19a/b.
RUNX3 has been identified as a tumour suppressor gene in a variety of solid tumours including gastric carcinoma, breast carcinoma, hepatocellular cancer and oral squamous-cell carcinoma [19–22]. Mueller et al. has reported that down-regulation of RUNX3 by hypermethylation in glioblastoma [12]. There were relevant reports with miRNA medicated inactivation of RUNX3 such as miR-532-5p in gastric cancer and miR-4295 in gliomas [23, 24]. Our data demonstrated that miR-19a/b medicated regulation for RUNX3 is another potential mechanism for its inactivation.
In our study, we, for the first time, comprehensively analyze the role of miR-19a/b inhibition for gliomas malignant phenotype. Our results demonstrated that low expression of miR-19a/b inhibited cell proliferation, invasion and induced the cell cycle G0/G1 arrest. Cell apoptosis was also dramatically increased after miR-19a/b suppression. Additionally, silencing of RUNX3 could practically reverse the suppressive effect of miR-19a/b inhibitors. Up-regulation of miR-19a/b also could partly abrogate the inhibitory effect of RUNX3. Our in vivo tumorigenic experiment study implicated that suppression of miR19a/b was therapeutically beneficial. These results suggest that inhibition of miR-19a/b could repress the growth of glioma cell in vitro and in vivo, at least partly though up-regulation of RUNX3.
It has been reported that RUNX3 forms a ternary complex with β-catenin/TCF4 and attenuates Wnt signaling activity in intestinal tumorigenesis [25]. By using TOP/FOP flash luciferase assay, we determined that knockdown of miR-19a/b or restoration of RUNX3 all significantly repressed the β-catenin/TCF4 transcription activities. In addition, multiple downstream targets of the β-catenin/TCF4 pathway, such as cyclinD1, c-MYC, VEGF and AKT1 were all reduced in cells with the knockdown of miR-19a/b. Thus, these data support the conclusion that miR-19a/b regulates survival of glioma cells via modulating RUNX3 inhibition of the β-catenin/TCF4 transcription.
In summary, our study provides new insights into the role of miR-19a/b in human glioma and confirms that miR-19 is able to inhibit RUNX3 expression level through directly binding to the 3′UTR region of RUNX3 which medicates the suppression of β-catenin/TCF4 transcription. Based on the regulation of multiple targets as well as signaling pathways, inhibition of miR-19a/b expression may represent a novel therapeutic target in glioblastoma.
MATERIALS AND METHODS
Tissue samples and clinical data
Tissue microarray for detecting miR-19a/b expression was prepared by ChaoYing Biotechnology (Shanxi, China) and the concrete informations were described in the published paper [10]. A tissue microarray for RUNX3 expression contained 59 glioma samples with different grades, including 9 grade I samples, 20 grade II samples, 17 grade III samples and 13 grade IV samples (Table 1). Forty-three freshly resected astrocytic glioma samples were collected with patient’s consent at the time of operation and classified according to 2007 WHO categories. Samples included 12 WHO grade I-II tumors, 15 WHO grade III tumors and 16 WHO grade IV tumors (Table 2). Freshly resected tissue was immediately frozen at liquid nitrogen for subsequent total RNA extraction. Five normal adult brain tissue specimens were obtained with informed consent from patients undergoing post-trauma surgery for severe traumatic brain injury (TBI).
Table 1. Tissue microarray pathology and clinical classification for 59 glioma samples.
No. | Age | Sex | Pathology (WHO) | No. | Age | Sex | Pathology (WHO) |
---|---|---|---|---|---|---|---|
01 | 47 | M | Astrocytoma I | 31 | 59 | M | Glioblastoma III |
02 | 35 | M | Astrocytoma I | 32 | 64 | F | Glioblastoma III |
03 | 19 | F | Astrocytoma I | 33 | 41 | F | Glioblastoma III |
04 | 21 | M | Astrocytoma I | 34 | 40 | F | Glioblastoma III |
05 | 12 | M | Astrocytoma I | 35 | 49 | M | Glioblastoma III |
06 | 41 | F | Astrocytoma I | 36 | 18 | F | Glioblastoma III |
07 | 32 | F | Astrocytoma I | 37 | 35 | F | Glioblastoma III |
08 | 42 | M | Astrocytoma I | 38 | 43 | M | Glioblastoma III |
09 | 51 | F | Astrocytoma II | 39 | 33 | M | Glioblastoma III |
10 | 52 | M | Astrocytoma II | 40 | 67 | M | Glioblastoma III |
11 | 40 | F | Astrocytoma II | 41 | 42 | M | Glioblastoma III |
12 | 50 | M | Astrocytoma II | 42 | 59 | M | Glioblastoma III |
13 | 37 | M | Astrocytoma II | 43 | 33 | M | Glioblastoma III |
14 | 51 | M | Astrocytoma II | 44 | 65 | F | GBM IV |
15 | 42 | F | Astrocytoma II | 45 | 54 | M | Glioblastoma III |
16 | 27 | F | Astrocytoma II | 46 | 63 | M | GBM IV |
17 | 56 | M | Astrocytoma II | 47 | 39 | M | GBM IV |
18 | 57 | F | Astrocytoma II | 48 | 9 | M | GBM IV |
19 | 53 | M | Astrocytoma I | 49 | 37 | M | GBM IV |
20 | 50 | M | Astrocytoma II | 50 | 34 | M | GBM IV |
21 | 71 | M | Astrocytoma II | 51 | 47 | F | Glioblastoma III |
22 | 45 | F | Astrocytoma II | 52 | 33 | F | GBM IV |
23 | 37 | F | Astrocytoma II | 53 | 61 | F | GBM IV |
24 | 40 | F | Astrocytoma II | 54 | 76 | M | Glioblastoma III |
25 | 66 | M | Astrocytoma II | 55 | 40 | F | GBM IV |
26 | 46 | M | Astrocytoma II | 56 | 23 | M | GBM IV |
27 | 49 | F | Astrocytoma II | 57 | 64 | M | GBM IV |
28 | 49 | M | Astrocytoma III | 58 | 22 | M | GBM IV |
29 | 10 | M | Astrocytoma III | 59 | 43 | M | GBM IV |
30 | 32 | M | Astrocytoma II |
Table 2. Clinicopathologic parameters of 43 glioma samples.
No. | Age | Sex | Pathogy (WHO) | No. | Age | Sex | Pathogy (WHO) |
---|---|---|---|---|---|---|---|
01 | 36 | M | Astrocytoma I | 23 | 30 | M | Astrocytoma III |
02 | 48 | F | Astrocytoma I | 24 | 47 | M | Oligodendroglioma III |
03 | 35 | M | Astrocytoma I | 25 | 27 | M | Astrocytoma III |
04 | 8 | M | Astrocytoma II | 26 | 9 | F | Oligodendroglioma III |
05 | 17 | F | Astrocytoma II | 27 | 54 | M | Astrocytoma III |
06 | 3 | M | Astrocytoma II | 28 | 31 | M | GBM IV |
07 | 23 | M | Astrocytoma II | 29 | 2 | F | Astrocytoma IV |
08 | 33 | F | Astrocytoma II | 30 | 6 | F | Astrocytoma IV |
09 | 12 | M | Oligodendroglioma II | 31 | 24 | M | Astrocytoma IV |
10 | 7 | M | Oligodendroglioma II | 32 | 51 | M | GBM IV |
11 | 10 | M | Oligodendroglioma II | 33 | 32 | F | GBM IV |
12 | 42 | M | Oligodendroglioma II | 34 | 22 | F | GBM IV |
13 | 5 | M | Astrocytoma III | 35 | 25 | M | GBM IV |
14 | 49 | F | Astrocytoma III | 36 | 20 | F | GBM IV |
15 | 4 | M | Astrocytoma III | 37 | 44 | F | GBM IV |
16 | 50 | F | Oligodendroglioma III | 38 | 46 | F | GBM IV |
17 | 13 | M | Astrocytoma III | 39 | 26 | M | GBM IV |
18 | 53 | M | Astrocytoma III | 40 | 40 | F | GBM IV |
19 | 41 | M | Astrocytoma III | 41 | 29 | M | GBM IV |
20 | 18 | M | Astrocytoma III | 42 | 16 | M | GBM IV |
21 | 38 | M | Astrocytoma III | 43 | 21 | M | GBM IV |
22 | 14 | M | Astrocytoma III |
Cell culture and transfection
Human glioma cells (U87 and LN229) were obtained from the China Academia Sinica Cell Repository, Shanghai, China and were cultured in Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% heat-inactivated fetal bovine serum (FBS, Hyclone). The cells were maintained in a humidified atmosphere at 5% CO2 atmosphere at 37°C. The cells were transfected using Lipofectamine 2000 (Invitrogen, Carlsbad, USA) according to the manufacturer’s instructions.
Oligonucleotides and adenovirus infection
The Has-miR-19a/b inhibitor and mimics were chemically synthesized and purified by high-performance liquid chromatography (GenePharma, Shanghai, China). The miR-19a inhibitor was 5′-UCAGUUUUGCAUAGAUUUGCACA-3′. The miR-19b inhibitor was 5′-UCAGUUUUGCAUGGAUUUGCACA -3′. Adenovirus containing a RUNX3 cDNA (rAd-RUNX3) was obtained from Genesil (Wuhan, China). We used RUNX3 siRNA (Cell Signaling Technology, USA) to knock down the expression of RUNX3.
Real-time PCR
Total RNA from tissues and cells was isolated using TRIzol reagent (Invitrogen) for mRNA analyses. qRT-PCR reactions were performed with TaqMan reverse transcription reagents and SYBR Green PCR Master Mix (Applied Biosystems) according to the manual. Normalization was performed on the U6 microRNA levels. qRT-PCR for miRNA detection was performed with TaqMan miRNA assays (Applied Biosystems) and GAPDH (Life Technologies, Carlsbad, CA, USA) was used as RUNX3 mRNA internal control.
Proliferation assay
U87 and LN229 cells were seeded into 96-well plates at 4000 cells per well respectively. After transfection as described previously, on each day of consecutive 7 days, 20 mL 3-4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) (5 mg/mL) was added to each well and the cells were incubated at 37 uC for additional 4 h. and the supernatant was discarded. All proliferation assays were repeated as independent experiments at least twice.
Cell-cycle analysis
U87 and LN229 cells (1 × 105 cells) were plated in 60 mm culture plates, After 2 days, the cells were trypsinized, fixed in 75% ethanol, washed with PBS, and then labeled with propidium iodide (Sigma-Aldrich) in the presence of RNase A (Sigma-Aldrich) for 30 min. Samples were run on a FACScan flow cytometer (Becton-Dickinson, FL, NJ, USA), and the percentages of cells within each phase of the cell cycle were analyzed using Modifit software.
In vitro invasion assays
Transwell membranes coated with Matrigel (BD Biosciences, San Jose, CA) were used to analysize the invasive activity of GBM cells. (1 × 105) in 100 μl of serum free DMEM were added into the upper compartment of the chamber and 200 μl conditioned medium fromU87 and LN229 was used as chemoattractant and placed in bottom chamber. After 24 hour incubation at 37°C, the medium was removed from the upper chamber. The noninvaded cells on the upper surface of the inserted filter were scraped off with a cotton swab. The cells that had migrated into the lower surface of the inserted filter were fixed with methanol. The number of cells invading through the matrigel was counted using three randomLy selected visual fields.
Luciferase reporter assay
A fragment of the human RUNX3 3′UTR containing a putative miR-19a/b binding site was cloned into a dual-luciferase plasmid vector (pEZX-MT01). The cells were lysed 48 h after transfection, and the ratio of firefly luciferase activity to Renilla luciferase activity was measured with a dual-luciferase assay (GeneCopoeia, USA).
To evaluate the β-catenin/Tcf-4 transcriptional activity, we used the TOP-FLASH and FOP-FLASH (Upstate) luciferase reporter constructs. TOP-FLASH (with 3 repeats of the Tcf-binding site) or FOP-FLASH (with 3 repeats of a mutated Tcf-binding site) plasmids were transfected into cells treated with Ad-RUNX3. After 48 h incubation, luciferase activity was measured using a dualluciferase reporter system (Promega). Luciferase activity was measured 48 h after transfection with the Dual-luciferase reporter assay system. The Renilla luciferase activity was used as an internal control.
Apoptosis assays
Apoptosis was quantified 48 h after transfection, using annexin V labeling. For the annexin V assay, an annexin V-FITC–labeled Apoptosis Detection Kit (Abcam) was used according to the manufacturer’s protocol and the TUNEL assay was used to detect apoptosis in tumor specimens [26].
Western blot and immunohistochemical staining
Western blot and IHC assays were performed as previously described. IHC scores were performed using a semiquantitative 5-category grading system [27, 28].
Intracranial nude mouse models
BALB/c-A nude mice at 4 weeks of age were purchased from the Animal Center at the Cancer Institute at Chinese Academy of Medical Science. To establish intracranial gliomas, 5 × 105 U87 glioblastoma cells pretreated with AS-miR-19a/b or vector were implanted stereotactically [29]. Bioluminescence imaging was used to detect intracranial tumor growth using the IVIS Imaging System (caliper Life Sciences) [30].
Statistical analysis
Statistics were performed using the SPSS Graduate Pack, version 16.0, statistical software (SPSS). Descriptive statistics, including mean and SE and 1-way analysis of variance, were used to determine statistically significant differences. Overall survival curves were plotted according to the Kaplan-Meier method. P < 0.05 was considered to be statistically significant.
Footnotes
CONFLICTS OF INTEREST
No potential conflicts of interest were disclosed.
FUNDING
This work was supported partially by the National High Technology Research and the China National Natural Scientific Fund (81101915, 30872985 and 81301018), and the China Scholarship Council (CSC).
REFERENCES
- 1.Ohgaki H, Dessen P, Jourde B, Horstmann S, Nishikawa T, Di Patre PL, Burkhard C, Schuler D, Probst-Hensch NM, Maiorka PC, Baeza N, Pisani P, Yonekawa Y, et al. Genetic pathways to glioblastoma: a population-based study. Cancer Res. 2004;64:6892–6899. doi: 10.1158/0008-5472.CAN-04-1337. [DOI] [PubMed] [Google Scholar]
- 2.Kanu OO, Hughes B, Di C, Lin N, Fu J, Bigner DD, Yan H, Adamson C. Glioblastoma Multiforme Oncogenomics and Signaling Pathways. Clin Med Oncol. 2009;3:39–52. doi: 10.4137/cmo.s1008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ohgaki H, Kleihues P. Genetic pathways to primary and secondary glioblastoma. Am J Pathol. 2007;170:1445–1453. doi: 10.2353/ajpath.2007.070011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136:215–233. doi: 10.1016/j.cell.2009.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Sumazin P, Yang X, Chiu HS, Chung WJ, Iyer A, Llobet-Navas D, Rajbhandari P, Bansal M, Guarnieri P, Silva J, Califano A. An extensive microRNA-mediated network of RNA-RNA interactions regulates established oncogenic pathways in glioblastoma. Cell. 2011;147:370–381. doi: 10.1016/j.cell.2011.09.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Shukla GC, Singh J, Barik S. MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions. Mol Cell Pharmacol. 2011;3:83–92. [PMC free article] [PubMed] [Google Scholar]
- 7.Novakova J, Slaby O, Vyzula R, Michalek J. MicroRNA involvement in glioblastoma pathogenesis. Biochem Biophys Res Commun. 2009;386:1–5. doi: 10.1016/j.bbrc.2009.06.034. [DOI] [PubMed] [Google Scholar]
- 8.Wu L, Li G, Feng D, Qin H, Gong L, Zhang J, Zhang Z. MicroRNA-21 expression is associated with overall survival in patients with glioma. Diagn Pathol. 2013;8:200. doi: 10.1186/1746-1596-8-200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005;120:15–20. doi: 10.1016/j.cell.2004.12.035. [DOI] [PubMed] [Google Scholar]
- 10.Jia Z, Wang K, Zhang A, Wang G, Kang C, Han L, Pu P. miR-19a and miR-19b overexpression in gliomas. Pathol Oncol Res. 2013;19:847–853. doi: 10.1007/s12253-013-9653-x. [DOI] [PubMed] [Google Scholar]
- 11.Chuang LS, Ito Y. RUNX3 is multifunctional in carcinogenesis of multiple solid tumors. Oncogene. 2010;29:2605–2615. doi: 10.1038/onc.2010.88. [DOI] [PubMed] [Google Scholar]
- 12.Mueller W, Nutt CL, Ehrich M, Riemenschneider MJ, von Deimling A, van den Boom D, Louis DN. Downregulation of RUNX3 and TES by hypermethylation in glioblastoma. Oncogene. 2007;26:583–593. doi: 10.1038/sj.onc.1209805. [DOI] [PubMed] [Google Scholar]
- 13.Mei PJ, Bai J, Liu H, Li C, Wu YP, Yu ZQ, Zheng JN. RUNX3 expression is lost in glioma and its restoration causes drastic suppression of tumor invasion and migration. J Cancer Res Clin Oncol. 2011;137:1823–1830. doi: 10.1007/s00432-011-1063-4. [DOI] [PubMed] [Google Scholar]
- 14.Croce CM, Calin GA. miRNAs, cancer, and stem cell division. Cell. 2005;122:6–7. doi: 10.1016/j.cell.2005.06.036. [DOI] [PubMed] [Google Scholar]
- 15.Fu LL, Wen X, Bao JK, Liu B. MicroRNA-modulated autophagic signaling networks in cancer. Int J Biochem Cell Biol. 2012;44:733–736. doi: 10.1016/j.biocel.2012.02.004. [DOI] [PubMed] [Google Scholar]
- 16.Shao LM, Yang JA, Wang YF, Wu P, Li JQ, Chen QX. MicroRNA-19a promotes glioma cell growth by repressing LRIG1. Int J Clin Exp Med. 2014;7:5067–5074. [PMC free article] [PubMed] [Google Scholar]
- 17.Liang Z, Li Y, Huang K, Wagar N, Shim H. Regulation of miR-19 to breast cancer chemoresistance through targeting PTEN. Pharm Res. 2011;28:3091–3100. doi: 10.1007/s11095-011-0570-y. [DOI] [PubMed] [Google Scholar]
- 18.Mavrakis KJ, Wolfe AL, Oricchio E, Palomero T, de Keersmaecker K, McJunkin K, Zuber J, James T, Khan AA, Leslie CS, Parker JS, Paddison PJ, Tam W, et al. Genome-wide RNA-mediated interference screen identifies miR-19 targets in Notch-induced T-cell acute lymphoblastic leukaemia. Nat Cell Biol. 2010;12:372–379. doi: 10.1038/ncb2037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chen LF. Tumor suppressor function of RUNX3 in breast cancer. J Cell Biochem. 2012;113:1470–1477. doi: 10.1002/jcb.24074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hor YT, Voon DC, Koo JK, Wang H, Lau WM, Ashktorab H, Chan SL, Ito Y. A role for RUNX3 in inflammation-induced expression of IL23A in gastric epithelial cells. Cell Rep. 2014;8:50–58. doi: 10.1016/j.celrep.2014.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Park J, Kim HJ, Kim KR, Lee SK, Kim H, Park KK, Chung WY. Loss of RUNX3 expression inhibits bone invasion of oral squamous cell carcinoma. Oncotarget. 2017;8:9079–9092. doi: 10.18632/oncotarget.14071. https://doi.org/10.18632/oncotarget.14071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Nakanishi Y, Shiraha H, Nishina S, Tanaka S, Matsubara M, Horiguchi S, Iwamuro M, Takaoka N, Uemura M, Kuwaki K, Hagihara H, Toshimori J, Ohnishi H, et al. Loss of runt-related transcription factor 3 expression leads hepatocellular carcinoma cells to escape apoptosis. BMC Cancer. 2011;11:3. doi: 10.1186/1471-2407-11-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Xu X, Zhang Y, Liu Z, Zhang X, Jia J. miRNA-532-5p functions as an oncogenic microRNA in human gastric cancer by directly targeting RUNX3. J Cell Mol Med. 2016;20:95–103. doi: 10.1111/jcmm.12706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Li X, Zheng J, Diao H, Liu Y. RUNX3 is down-regulated in glioma by Myc-regulated miR-4295. J Cell Mol Med. 2016;20:518–525. doi: 10.1111/jcmm.12736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ito K, Lim AC, Salto-Tellez M, Motoda L, Osato M, Chuang LS, Lee CW, Voon DC, Koo JK, Wang H, Fukamachi H, Ito Y. RUNX3 attenuates beta-catenin/T cell factors in intestinal tumorigenesis. Cancer Cell. 2008;14:226–237. doi: 10.1016/j.ccr.2008.08.004. [DOI] [PubMed] [Google Scholar]
- 26.Zhang CZ, Zhang JX, Zhang AL, Shi ZD, Han L, Jia ZF, Yang WD, Wang GX, Jiang T, You YP, Pu PY, Cheng JQ, Kang CS. MiR-221 and miR-222 target PUMA to induce cell survival in glioblastoma. Mol Cancer. 2010;9:229. doi: 10.1186/1476-4598-9-229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Shi Z, Qian X, Li L, Zhang J, Zhu S, Zhu J, Chen L, Zhang K, Han L, Yu S, Pu P, Jiang T, Kang C. Nuclear translocation of beta-catenin is essential for glioma cell survival. J Neuroimmune Pharmacol. 2012;7:892–903. doi: 10.1007/s11481-012-9354-3. [DOI] [PubMed] [Google Scholar]
- 28.Jia Z, Wang K, Wang G, Zhang A, Pu P. MiR-30a-5p antisense oligonucleotide suppresses glioma cell growth by targeting SEPT7. PloS One. 2013;8:e55008. doi: 10.1371/journal.pone.0055008. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 29.Bagci-Onder T, Wakimoto H, Anderegg M, Cameron C, Shah K. A dual PI3K/mTOR inhibitor, PI-103, cooperates with stem cell-delivered TRAIL in experimental glioma models. Cancer Res. 2011;71:154–163. doi: 10.1158/0008-5472.CAN-10-1601. [DOI] [PubMed] [Google Scholar]
- 30.Zhang KL, Zhou X, Han L, Chen LY, Chen LC, Shi ZD, Yang M, Ren Y, Yang JX, Frank TS, Zhang CB, Zhang JX, Pu PY, et al. MicroRNA-566 activates EGFR signaling and its inhibition sensitizes glioblastoma cells to nimotuzumab. Mol Cancer. 2014;13:63. doi: 10.1186/1476-4598-13-63. [DOI] [PMC free article] [PubMed] [Google Scholar]