Hsa‑miR‑376c‑3p targets Cyclin D1 and induces G1‑cell cycle arrest in neuroblastoma cells

  • Authors:
    • Swapnil Parashram Bhavsar
    • Cecilie Løkke
    • Trond Flægstad
    • Christer Einvik
  • View Affiliations

  • Published online on: September 11, 2018     https://doi.org/10.3892/ol.2018.9431
  • Pages: 6786-6794
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Abstract

High‑risk neuroblastoma is the most aggressive form of cancer in children. The estimated survival of children with high‑risk neuroblastoma is 40‑50% compared with low and intermediate risk neuroblastoma, which is >98 and 90‑95%, respectively. In addition, patients with high‑risk neuroblastoma often experience relapse following intensive treatments with standard chemotherapeutic drugs. Therefore alternative strategies are required to address this problem. MicroRNAs (miRNAs/miRs) are small, endogenously expressed non‑coding RNAs, which when deregulated have been demonstrated to serve significant roles in the tumorigenesis of a number of different types of cancer. Results from a previous deep sequencing study identified 22 downregulated miRNAs from the 14q32 miRNA cluster differentially expressed in neuroblastoma cell lines isolated from 6 patients at diagnosis and at relapse following intensive treatments. miR‑376c‑3p is one of the 22 miRNAs that was downregulated in the majority of the cell lines isolated from patients post treatment. The present study employed reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) to quantify the basic expression of miR‑376c‑3p in 6 neuroblastoma cell lines. The functional role of miR‑376c‑3p in the neuroblastoma cell lines was evaluated by alamar blue‑cell viability and propidium iodide‑flow cytometric assays. In addition, luciferase reporter assays, RT‑qPCR and western blotting were performed to identify and quantify the targets of miR‑376c‑3p in neuroblastoma cell lines. Ectopic expression of miR‑376c‑3p led to significant inhibition of cell viability and G1‑cell cycle arrest in multiple neuroblastoma cell lines by reducing the expression of cyclin D1, an oncogene critical for neuroblastoma pathogenesis. The results of the present study provide novel insights into the functional role of miR‑376c‑3p and suggest new approaches for the treatment of neuroblastoma.

Introduction

Neuroblastoma is the most common childhood malignancy derived from the primitive cells of the sympathetic nervous system (1). It accounts for ~15% of all pediatric oncology deaths (2). The treatment of patients with advanced neuroblastoma or high-risk neuroblastoma is still a challenge due to several factors including, dose-limiting toxicity to standard chemotherapeutic agents, disease heterogeneity and tumor regression (3). Moreover, these patients have a very poor prognosis with the overall ten-year survival rates of less than 10% (4). Therefore, the development of innovate alternate treatment strategies is necessary to increase the treatment effectiveness and lower toxicity.

MicroRNAs (miRNAs/miRs) are a large family of small (~22–25 nucleotides), endogenous, non-coding RNAs, which binds the partial or perfect complementary sequences in the 3′untranslated region (3′UTR) of target messenger RNAs (mRNAs) leading to translational repression or mRNA degradation (5). They regulate the expression of genes involved in proliferation, apoptosis, development and stress response. Thus, miRNAs have shown to play an important role in the initiation and progression of cancer (5). Depending on their respective target, miRNAs can act as oncogenes and or tumor suppressors (6). miRNAs are differentially expressed across cancer types and microRNA-profiling studies have revealed a general downregulation in tumors as compared with normal tissues (7). Interestingly, growing evidence have now shown the potential of aberrant expression of miRNAs to use as the prognostic and diagnostic biomarkers of human malignancies (6).

miR-376 family of miRNAs comprises of miR-376a2, miR-376b, miR-376c (earlier known as miR-368), miR-376b1 and miR-376b2 and their sequence identity is highly similar to mouse miR-376a-c miRNAs (8). miR-376 family members are located on chromosome 14 in humans and at the distal end of mouse chromosome 12 (9). They are expressed in placenta, developing embryos, and adult tissues (8). The expression of miR-376c is downregulated in many human malignancies including cervical cancer (10), prostate cancer (11), oral squamous cell carcinoma (12), intrahepatic cholangiocarcinoma (13), melanoma (14), osteosarcoma (15) and gliomas (16). However, it has been shown that miR-376c is upregulated and it act as oncogenic in acute myeloid leukemia (17) and gastric cancer (18). In addition, forced expression of miR-376c enhance ovarian cancer cell survival by targeting activing-receptor like kinase 7 (19). Whereas, forced overexpression of miR-376c suppressed growth and invasion of non-small cell lung cancer (20). According to our knowledge, there is no report regarding the role of miR-376c in neuroblastoma. Thus uncovering the mechanisms of miR-376c function is critical to both the fundamental understanding of neuroblastoma pathogenesis and novel therapeutic treatments.

The Cyclin D1 (CCND1) is one of the extensively documented oncogene in human cancers. Functionally, CCND1 binds with cyclin-dependent kinases (CDK 4/6) which phosphorylate pRB family proteins, which in turn transactivates genes necessary for cell cycle progression (21). Dysregulated expression of CCND1 is a common feature in various human cancers (22,23). Inhibitors targeting CCND1 are thoroughly studied but no results have yet been proven effective (22,23). The CCND1 gene has one of the longest 3′UTR (~3.1 kb), suggesting a strong functional relevance (24). To date, many experimentally validated miRNAs targeting CCND1 in different cancers are identified. For example, let-7e, miR-9-5p, miR-15a-5p, miR-16, miR-17, miR-20a, miR-106b, miR-34a and miR-206 (2531). However, no miRNA directly targeting CCND1 3′UTR is yet identified in neuroblastoma.

In this study, we examined the relationship between miR-376c-3p expression and neuroblastoma tumorigenesis. In our previous deep sequencing study, we have analyzed miR-376c-3p expression in neuroblastoma cell lines with different genetic characteristics (32). miR-376c-3p was downregulated in most of the cell lines tested and therefore we overexpressed miR-376c-3p, which have had significant effects on cell growth and survival of neuroblastoma cells.

In addition, we demonstrated that CCND1 is a direct target of miR-376c-3p in neuroblastoma and overexpression of miR-376c-3p might have a significant influence on inhibition of neuroblastoma tumorigenesis.

Materials and methods

Cell culture

Human neuroblastoma cell lines, CHLA-15 and CHLA-20 were cultivated in Iscove's Modified Dulbecco's Medium (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) supplemented with 20% fetal bovine serum, 4 mM L-Glutamine and 1X ITS (5 µg/ml insulin, 5 µg/ml transferrin, and 5 ng/ml selenous acid). CHLA-15 and CHLA-20 were obtained from the same neuroblastoma patient prior to and following treatment with combination chemotherapy regimens, respectively. SKNAS, BE(2)-C, Kelly and SHSY-5Y cells were grown in RPMI-1640 medium (Sigma-Aldrich; Merck KGaA) supplemented with 10% fetal bovine serum and 2 mM L-Glutamine (final concentrations). All cells were split before confluence and maintained at 37°C in a humidified incubator with 4.5 to 5% CO2 atmosphere. The cell lines were authenticated by short tandem repeat profiling at the Center of Forensic Genetics, The Arctic University of Norway-UiT, Norway and tested negative for mycoplasma contamination. CHLA-15 and CHLA-20 cell lines were kindly provided by Children's Oncology Group, Cell Culture and Xenograft Repository, Texas Tech University Health Science Centre (Lubbock, TX, USA). BE(2)-C, SKNAS, Kelly and SHSY-5Y were provided by Dr. John Inge Johnsen (Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden).

Transfections

MicroRNA miR-376c-3p mimics or negative control (NC) mimics were purchased from GenePharma Co., Ltd. (Shanghai, China) and Ambion (Thermo Fisher Scientific, Inc., Waltham, MA, USA). Transfections of miRNA and NC mimics (25–40 nM) were carried out using Lipofectamine® 2000 reagent (Thermo Fisher Scientific, Inc.) according to manufacturer's instructions.

Cell viability assay

CHLA-15, CHLA-20, BE(2)-C, Kelly and SHSY-5Y cells were seeded in 24-well plates and reverse transfected with 25 nM miR-376c-3p or NC mimics using Lipofectamine® 2000 reagent (Thermo Fisher Scientific, Inc.). Every 24 h post-transfection, alamarBlue® (Thermo Fisher Scientific, Inc.) cell viability assay was performed according to manufacturer's instructions. Ten percent of the alamarBlue reagent was added to the cultured cells, mixed gently and incubated at 37°C for three hours. 100 µl of medium was then transferred to black-walled 96-well plate and fluorescence was monitored at 540 nm excitation wavelength and 590 nm emission wavelength in a microplate reader (CLARIOstar; BMG Labtech GmbH, Offenburg, Germany). Cell viability was calculated as the percentage of NC transfected cells set to 100 percent.

Flow cytometric analysis of cell cycle distribution

The BE(2)-C, Kelly and SHSY-5Y cells were seeded in 25 cm2 culture flasks and reverse transfected with 25 nM mimics as described previously. 24 h post-transfection cells were trypsinized and washed with 1X phosphate-buffered saline (PBS). The cells were then fixed in ice-cold 70% ethanol and incubated overnight at −20°C. Next day, the ethanol fixed cells were centrifuged for 10 min at 0.8 × g and washed twice with 1X PBS and resuspended in the propidium iodide (PI) (Thermo Fisher Scientific, Inc.) staining solution (PBS with 100 µg/ml RNase, 50 µg/ml PI). The cells were then incubated for 30 min protected from light and stored on ice until analyzed. Fluorescence emitted from the PI-DNA complex was analyzed by flow cytometry using BD LSRFortessa cell analyzer (BD Biosciences, Franklin Lakes, NJ, USA). FlowJo 7.6.5 software was used to analyze the cell cycle data using the Dean-Jett-Fox model for cell cycle evaluation.

Bioinformatics target prediction

TargetScan (version 6.2; www.targetscan.org/) target prediction software was used to predict miR-376c-3p targets related to cell cycle.

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

The Kelly, SHSY-5Y and BE(2)-C cells were seeded in 6-well plates and transfected with 40 nM of miR-376c-3p or NC mimics. Cells were harvested 48 h post-transfection and total RNA was isolated with QIAzol®Lysis reagent (Qiagen Sciences, Inc., Gaithersburg, MD, USA) according to manufacturer's instructions and quantified by NanoDrop 1000 spectrophotometer (Thermo Fisher Scientific, Inc.).

For miRNA expression analysis, complementary DNA (cDNA) was synthesized from isolated total RNAs using the miScript II RT kit (Qiagen Sciences, Inc.) according to manufacturer's instructions. The reaction mixture (1X) (20 µl reaction volume) for reverse transcription was as follows: Total RNA, 1 µg (diluted in RNase Free Water up to 12 µl); 5X miScript HiSpec Buffer, 4 µl; 10X miScript Nucleics Mix, 2 µl; miScript Reverse Transcriptase Mix, 2 µl; The cycling conditions were 37°C for 60 min followed by 95°C for 5 min. The cDNA obtained was diluted with 80 µl RNase Free Water to achieve 10 ng/µl concentration and stored at −20°C until use. To quantitate miR-376c-3p levels, quantitative polymerase chain reaction was performed with miScript primer assay for miR-376c (cat. no MS00004046) using miScript SYBR®Green PCR kit (Qiagen Sciences, Inc.,). The miScript primer assay for miR-4286 (cat. no MS00021371) was used as an internal control for normalization. The reaction mixture (1X) (20 µl reaction volume) for real time PCR was as follows: cDNA (1 ng/5 µl), 5 µl; QuantiTect SYBR-Green PCR Master Mix, 10 µl; Specific miScript primer assay, 2 µl; 10X miScript Universal Primer, 2 µl; RNase Free Water, 1 µl.

For basic miRNA expression levels in neuroblastoma cell lines, the following method was used for calculations. Raw fluorescence values (non-baseline corrected) generated from RT-qPCR reactions were used to calculate mean PCR efficiencies in the LinRegPCR software (Version 11.0; http://LinRegPCR.HFRC.nl.). N0 values (starting concentrations calculated by LinRegPCR software, N0=threshold/(mean amplicon efficiencyCq)) were used to calculate the expression of miR-376c-3p relative to the stably expressed miR-4286 (32). qPCR reactions were performed in triplicates on 2 independent biological replicates. Standard deviations were calculated taking into account the principle of error propagation (including technical and biological replicates).

For mRNA expression analysis, complementary DNA (cDNA) was synthesized from isolated total RNAs using the maxima reverse transcriptase (Thermo Fisher Scientific, Inc.) according to manufacturer's instructions. The reaction mixture (1X) (20 µl reaction volume) for reverse transcription of mRNAs was as follows: Oligo DT primer (20 µM), 1 µl; dNTP (10 mM each), 1 µl; Total RNA, 1 µg (diluted in RNase Free Water up to 13.75 µl); Incubate 65°C for 5 min followed by addition of 5× RT Buffer, 4 µl; Maxima Reverse Transcriptase, 0.25 µl; The cycling conditions were 60°C for 30 min followed by 85°C for 5 min. The cDNA obtained was diluted with 80 µl RNase Free Water to achieve 10 ng/µl concentration and stored at −20°C until use. To quantitate CCND1 levels, quantitative polymerase chain reaction was performed with Power SYBR-Green PCR Master Mix (Thermo Fisher Scientific, Inc.). SDHA housekeeping gene was used as an internal control for normalization. The reaction mixture (1X) (20 µl reaction volume) for real time PCR was as follows: cDNA (1 ng/1 µl), 10 µl; Power SYBR-Green PCR Master Mix, 5 µl; Forward Primer (10 µM), 0.4 µl; Reverse Primer (10 µM), 0.4 µl; RNase Free Water 4.2 µl.

Amplifications were carried out using Light Cycler 96 SW 1.1 (Roche Diagnostics GmbH, Mannheim, Germany) and expression levels of miRNAs and mRNAs were evaluated using the comparative ΔΔCq comparative cycle threshold method (33). The primers used were CCND1 (forward: 5′-CCGTCCATGCGGAAGATC-3′; reverse: 5′-ATGGCCAGCGGGAAGAC-3′) and SDHA (forward: 5′-CTGATGAGACAAGATGTGGTG-3′; reverse: 5′-CAATCTCCCTTCAATGTACTCC-3′).

Western blot analysis

Cells were trypsinized and lysed in 40 µl RIPA buffer (50 mM Tris-HCL pH 8, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate, 0.1% SDS) supplemented with 1X Protein Inhibitor Cocktail (Roche Diagnostics GmbH) and 1 mM dithiothreitol (DTT). Lysate was cleared with centrifugation (21.1 × g) and the total protein concentrations were determined using DC™Protein Assay kit (Bio-Rad Laboratories, Inc., Hercules, CA, USA) according to manufacturer's instructions. 40 µg protein was then loaded in each well and separated on a NuPAGE® Novex 4–12% Bis-Tris precast polyacrylamide gel (Thermo Fisher Scientific, Inc.). The separated proteins were transferred on Immobilon-FL PVDF membrane (EMD Millipore, Billerica, MA, USA) and blocked for 1 h at room temperature in 5 ml Odyssey Blocking Buffer (LI-COR Biosciences, Lincoln, NE, USA). The PVDF membrane was then incubated overnight at 4°C with primary antibodies anti-Cyclin D1-(H-295)-Human Cyclin D1 Rabbit, polyclonal; (1:1,000; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) and anti-actin-(ab3280)-Human Actin Mouse, monoclonal (1:1,000; Abcam, Cambridge, UK). The secondary antibodies used were goat anti-rabbit-IRDye800CW, (1:5,000) (Rockland Immunochemicals, Inc., Gilbertsville, PA, USA) and goat anti-mouse-Alexa Fluor 680, (1:5,000; Thermo Fisher Scientific, Inc.). Antibody binding was detected using the Odyssey CLx Infrared Imaging System (LI-COR Biosciences). ImageJ software was used to quantify western blot results.

Luciferase reporter assay

The pMIR-Report-Cyclin D1-UTR-WT construct was a generous gift from Dr. Laura Barkley (30) and pMIR-Report-Cyclin D1-UTR-MUT construct with a mutation in the putative miR-376c-3p seed sequence (mutant) was generated using QuikChange® Multi Site-Directed Mutagenesis kit (Agilent Technologies, Inc., Santa Clara, CA, USA). The primers used for mutagenesis were CCND1_3′UTR_miR-376c-3p (forward: 5′-CACATCTTGGCATACTAATTCTTG-3′; reverse: 5′-CAAGAATTAGTATGCCAAGATGTG-3′). To validate for mutation in seed sequence the mutant plasmid was sequenced using sequencing primer 5′-CATCTGATTGGACAGGCATG-3′. The cells seeded at a density of 5×104cells/well in a 12-well plate were co-transfected with 40 nM NC or miR-376c-3p mimics, 20 ng pRL-SV40 construct (Promega Corporation, Madison, WI, USA) and 100 ng wild type or mutant luciferase constructs using Lipofectamine® 2000 reagent (Thermo Fisher Scientific, Inc.). 24 h post-transfection, firefly and renilla luciferase activities analyzed using the Dual-Luciferase Reporter Assay (Promega Corporation), according to manufacturer's instructions. Firefly luciferase activity was normalized against renilla luciferase activity and luciferase activities of miR-376c-3p transfected cells were calculated relative to NC transfected cells set to 100 %.

MicroRNA expression data from neuroblastoma tumors

miRNA expression data from 226 primary neuroblastoma tumors were obtained through the Neuroblastoma Research Consortium (NRC). Differential miRNA expression was analyzed using a Kruskal-Wallis test.

Statistical analysis

The data was expressed as mean ± standard deviation (SD). Unless otherwise stated, all experiments were performed at least three times independently. Statistical analysis was performed using the software GraphPad Prism version 5.00 for Windows (GraphPad Software, Inc., La Jolla, CA, USA; available at www.graphpad.com). Statistical differences between means were determined using Student's t-test. P<0.05 was considered to indicate a statistically significant difference.

Results

Multiple miRNAs located at 14q32 chromosomal region are downregulated and their lower levels are associated with poor prognosis factors in neuroblastoma. Results from our previous study, where we used next generation sequencing technology (SOLiD ligation sequencing) to determine miRNA expression profiles in neuroblastoma cell lines established from patients at diagnosis and at relapse after treatment, identified 22 downregulated microRNAs from 14q32 miRNA cluster. The expression of these downregulated miRNAs was confirmed in a cohort consisting of 226 primary neuroblastomas (32). miR-376c-3p, was one of the 22 miRNAs that was downregulated in most of the cell lines isolated from patients after the treatment (Fig. 1A). When miR-376c expression was compared in neuroblastoma primary tumors of different stages from the 226-cohort, we observed a trend towards lower expression in advanced stage disease compared to tumors in stage 1 (Fig. 1B). Thus, we sought out to focus on the functional role of miR-376c-3p in neuroblastoma.

miR-376c-3p reduces cell viability in neuroblastoma cell lines

Even though miR-376c-3p has been shown to play either the oncogenic or the tumor suppressive role in different cancers (1020) the functional role of miR-376c-3p is not yet determined in neuroblastoma. Therefore, we first used RT-qPCR to measure miR-376c-3p basic expression levels relative to miR-4286 in 6 neuroblastoma cell lines. miR-4286 was previously showed to be stably expressed in neuroblastoma cell lines (32). Among the cell lines, SKNAS and BE(2)-C cells have the highest expression level of miR-376c-3p, whereas SHSY-5Y, Kelly, CHLA-15 and CHLA-20 cells showed barely detectable levels of expression (Fig. 2A). In order to find out the potential role of miR-376c-3p in neuroblastoma, cell viability assay was performed on several neuroblastoma cell lines by overexpressing NC or miR-376c-3p mimics. The expression of miR-376c-3p was significantly increased in miR-376c-3p transfected cell lines compared with NC transfected cells, as validated and confirmed by RT-qPCR (Fig. 2B). Cell viability alamarBlue assay was performed at 24, 48, 72 and 96 h post-transfection, which showed that neuroblastoma cell lines transfected with miR-376c-3p mimics, had significantly reduced cell viability as compared to NC transfected cells. Thus, ectopic expression of miR-376c-3p reduced the growth of SKNAS, CHLA-15, CHLA-20, SHSY-5Y, Kelly and BE(2)-C cells as compared to NC transfected cells (Fig. 2C). These results indicate that cell growth of neuroblastoma cell lines is significantly affected by overexpression of miR-376c-3p.

miR-376c-3p induces a G1-cell cycle arrest in neuroblastoma cells

We did not detect significant apoptosis in miR-376c-3p transfected neuroblastoma cells using Annexin V and PARP cleavage assay (data not shown). Thus, we investigated the effects of miR-376c-3p overexpression on cell cycle distribution of representative neuroblastoma cell lines BE(2)-C, Kelly and SHSY-5Y by flow cytometric assay. Ectopic expression of miR-376c-3p in BE(2)-C, Kelly and SHSY-5Y resulted in increased percentage of cells in G1-phase of cell cycle as compared to NC transfected cells by 13% (**P=0.0023), 16% (***P=0.0001) and 9% (*P=0.0106), respectively with a corresponding reduction in the percentage of cells in the S and G2/M-phase (Fig. 3). Thus, this observation led us to the conclusion that decrease in cell viability might be due to induction of G1-cell cycle arrest in neuroblastoma cells and not apoptosis.

CCND1 is a direct target of miR-376c-3p in neuroblastoma

In order to investigate the underlying molecular mechanisms of miR-376c-3p induced suppression of the cell viability and G1-cell cycle arrest, a bioinformatics analysis was performed using miRNA target prediction algorithm TargetScan (Release 6.2; www.targetscan.org/) to predict the target genes of miR-376c-3p mainly associated with the cell cycle progression. TargetScan revealed 254 potential downstream targets with the conserved sites for miR-376c-3p (data not shown). It was theoretically demonstrated that miR-376c-3p had single binding site in the 3′UTR of CCND1 oncogene. Thus, to determine whether miR-376c-3p could directly target the predicted 3′UTR of CCND1, a dual-luciferase reporter assay was performed in BE(2)-C and SHSY-5Y cells. Here, we used a luciferase reporter containing full-length (~3.1 kb), wild type CCND1 3′UTR (wt) or mutant CCND1 3′UTR (MUT) construct having a mutation of the putative miR-376c-3p target site shown in bold and italics (Fig. 4A).

Transient co-transfection of BE(2)-C and SHSY-5Y cells with miR-376c-3p mimics and the wild type CCND1 3′UTR (wt) reporter construct suppressed the luciferase activity as compared to NC transfected cells by 35% (**P=0.0091) and 38% (*P=0.0135), respectively. However, the activity of the reporter construct mutated at the specific miR-376c-3p target site is unaffected (Fig. 4B). These data indicated that miR-376c-3p represses CCND1 expression by directly binding to the 3′UTR sequence of CCND1 mRNA.

miR-376c-3p reduces mRNA and protein levels of CCND1 in neuroblastoma cells

To further confirm whether miR-376c-3p directly targets CCND1 gene, neuroblastoma cells were transfected with miR-376c-3p or NC mimics and the expression levels of CCND1 was analyzed by quantitative RT-qPCR analysis. The levels of CCND1 mRNA was markedly decreased by miR-376c-3p overexpression in BE2-(C), Kelly and SHSY-5Y cells by 57% (*P=0.0110), 57% (**P=0.0017), and 53% (*P=0.0134), respectively as compared to NC transfected cells (Fig. 5A). Moreover, we also performed western blot analysis and observed significant decrease in levels of cyclin D1 proteins upon miR-376c-3p overexpression in BE2-(C), Kelly and SHSY-5Y cells by 41% (**P=0.0089), 67% (**P=0.0032), and 69% (**P=0.0069), respectively as compared to NC transfected cells (Fig. 5B and C). Taken together, these results demonstrates that endogenous expression of CCND1 gene is directly regulated by miR-376c-3p and suggest that overexpression of CCND1 gene could be reduced by enforced expression of miR-376c-3p in neuroblastoma cells.

In addition, to test whether CCND1 could also counteract the effect of miR-376c-3p induced G1 cell cycle arrest, we overexpressed CCND1 in SHSY-5Y cells. However, we only saw a modest and statistically insignificant effect of CCND1 overexpression on reducing the effect of miR-376c-3p (Fig. 6).

Discussion

Current treatment strategies for high-risk neuroblastoma patients have limitations due to the refractory nature of the disease (24). Hence, alternative strategies are necessary for diagnosis and treatment of this disease. Mounting evidence have shown the potential of miRNAs as key regulators of cancer pathogenesis by acting as oncogenes or tumor suppressors (6). Researchers have thus exploited these properties for the development of the novel anticancer therapies. miRNAs act by inhibiting the expression of its one or more target genes. Hence, identification of specific miRNAs and their targets is very important for the diagnosis and therapy of cancer (34).

Results from our previous deep sequencing analysis study identified 22 downregulated microRNAs from 14q32 miRNA cluster differentially expressed in neuroblastoma cell lines isolated from six patients at diagnosis and at relapse after intensive treatments. miR-376c-3p, is one of the 22 miRNAs that was downregulated in most of the cell lines isolated from patients after treatment (32). Moreover, the expression of miR-376c-3p was reduced in International Neuroblastoma Staging System (INSS) stage 4 compared to stage 1–2 in a cohort of 226 primary neuroblastoma tumors (32). However, the functional role of miR-376c-3p in neuroblastoma is not yet established.

Earlier reports from various cancers have demonstrated the dual nature of miR-376c-3p to act as either the oncogenic or the tumor suppressive miRNA depending on the cellular contexts (1020). miR-376c-3p is downregulated in multiple human cancers, including prostate cancer (11), cervical cancer (10), oral squamous cell carcinoma (12), intrahepatic cholangiocarcinoma (13), melanoma (14), osteosarcoma (15) and gliomas (16). In contrast, miR-376c-3p was upregulated in acute myeloid leukemia (17) and gastric cancer (18). In these cancers, miR-376-3p has been shown to target a set of genes including B-cell-specific moloney murine leukemia virus insertion site 1 (BMI1), homeobox B7 (HOXB7), growth factor receptor-bound protein 2 (GRB2), transforming growth factor-alpha (TGFA), liver receptor homolog-1 (LRH-1), insulin growth factor 1 receptor (IGF1R) and activin receptor-like kinase 7 (ALK7). Other than affecting cell growth and proliferation, these genes act as important mediators of cell invasion (10,12,15, 20), migration (1114), cell cycle arrest (10), apoptosis (12) and chemoresistance (19).

In order to find out how miR-376c-3p affects the growth and viability of neuroblastoma cells we first performed alamarBlue cell viability assay and demonstrated that transient overexpression of miR-376c-3p resulted in inhibition of cell viability in neuroblastoma cell lines. Consistent with this finding, we also observed that miR-376c-3p induced G1-cell cycle arrest suggesting that cell cycle genes may be affected and could serve as miR-376c-3p targets. To test this hypothesis, we used miRNA bioinformatics algorithms to predict miR-376c-3p targets related to the cell cycle regulation. TargetScan algorithm predicted the CCND1 gene as a probable target of miR-376c-3p. CCND1 is an important cell cycle regulator whose mRNA contains a conserved miR-376c-3p binding site on the 3′UTR. By dual-luciferase reporter assay, we further demonstrated that miR-376c-3p could significantly reduce luciferase activity of wild type constructs but not mutated CCND1 3′UTR construct confirming the direct regulation on CCND1 by miR-376c-3p. Our experimental data further showed that the expression of CCND1 mRNA and protein levels were significantly reduced after transfection with miR-376c-3p mimics as compared to NC mimics transfected cells. Additionally, we also performed flow cytometric rescue experiment by overexpression of CCND1 in neuroblastoma cells to see if CCND1 counteracts the effect of miR-376c-3p induced G1 cell cycle arrest. However, we only saw a modest and statistically insignificant effect of CCND1 overexpression on reducing the effect of miR-376c-3p overexpression.

Cyclin D1, Cyclin D2 and Cyclin D3 belongs to the class of cyclins, which activates the cyclin-dependent kinases (CDKs). These cyclins through the phosphorylation of the substrates at specific cell stages co-ordinates the sequential completion of DNA replication and cell division (23). Unlike other cyclins, CCND1 is induced by extracellular signals, including growth factor receptor activation and integrin-derived adhesion signaling (23,35). Functionally, CCND1 activates CDK4/6, which phosphorylates pRB family proteins causing the release of E2F transcription factors, which are essential for transcription of genes necessary for G1-S transition of cell cycle. Hence, the expression of cyclins are tightly regulated by variety of signaling pathways at the transcriptional as well as post-transcriptional levels (21).

The CCND1 gene has been proposed as an important oncogene in various cancers. Numerous studies have documented the relationship between deregulation of CCND1 and onset of tumorigenesis in wide variety of cancers. For instance, Molenaar et al (36,37) found that CCND1 levels were increased in neuroblastoma tumors and high expression of CCND1 led to tumorigenesis in neuroblastoma. In addition, Rihani et al (22) found that knockdown of CCND1 reduced cell proliferation, induced G1-cell cycle arrest and inhibited the cyclin D1-Rb pathway in neuroblastoma cells. Similarly, Sun and colleagues also found that inhibition of CCND1 and CDK6 by miR-34a resulted in G1-cell cycle arrest in non-small cell lung cancer (38). In line with these reports, our data indicate that ectopic expression of miR-376c-3p leads to the suppression of endogenous CCND1 gene resulting in the reduced cell growth and G1-cell cycle arrest in the neuroblastoma cells.

Taken together, our study for the first time demonstrates that miR−376c-3p directly target CCND1 gene leading to reduced cell growth and G1-cell cycle arrest in neuroblastoma. Therefore, we suggest that ‘miR-376c-CCND1’ axis could be a potential molecular target for preventing neuroblastoma tumorigenesis.

Acknowledgements

The authors would like to thank the Children's Oncology Group Cell Culture and Xenograft Repository (Texas Tech University Health Science Center, Lubbock, TX, USA) for providing the BE(2)-C, CHLA-15 and CHLA-20 cell lines, and Dr. Laura Barkley (National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland) for providing the full-length CCND1 3′UTR construct (pMIR-Report-Cyclin D1-UTR-WT). The authors would also like to thank Professor Pieter Mestdagh (Ghent University, Ghent, Belgium) for providing the miRNA expression data from primary neuroblastoma tumors obtained through the Neuroblastoma Research Consortium initiative.

Funding

This work was supported by grants from the Northern-Norway Health Authorities (grant no. SFP 1278-16).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Author's contributions

SPB, TF and CE designed the research. SPB performed the experiments. CL assisted with the experiments. CE, CL and TF supervised the experimental work. SPB wrote the manuscript. CE, CL and TF critically amended the manuscript. The final manuscript was read and approved by all authors.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

miRNA

microRNA

NC

negative control

miR-376c-3p

microRNA-376c-3p

CCND1

Cyclin D1

References

1 

Brodeur GM: Neuroblastoma: Biological insights into a clinical enigma. Nat Rev Cancer. 3:203–216. 2003. View Article : Google Scholar : PubMed/NCBI

2 

Maris JM, Hogarty MD, Bagatell R and Cohn SL: Neuroblastoma. Lancet. 369:2106–2120. 2007. View Article : Google Scholar : PubMed/NCBI

3 

Garaventa A: High risk neuroblastoma: Small steps towards cure. Pediatr Blood Cancer. 61:964–965. 2014. View Article : Google Scholar : PubMed/NCBI

4 

Garaventa A, Parodi S, De Bernardi B, Dau D, Manzitti C, Conte M, Casale F, Viscardi E, Bianchi M, D'Angelo P, et al: Outcome of children with neuroblastoma after progression or relapse. A retrospective study of the Italian neuroblastoma registry. Eur J Cancer. 45:2835–2842. 2009. View Article : Google Scholar : PubMed/NCBI

5 

Croce CM and Calin GA: miRNAs, cancer, and stem cell division. Cell. 122:6–7. 2005. View Article : Google Scholar : PubMed/NCBI

6 

Berindan-Neagoe I, Pdel Monroig C, Pasculli B and Calin GA: MicroRNAome genome: A treasure for cancer diagnosis and therapy. CA Cancer J Clin. 64:311–336. 2014. View Article : Google Scholar : PubMed/NCBI

7 

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

8 

Kawahara Y, Zinshteyn B, Sethupathy P, Iizasa H, Hatzigeorgiou AG and Nishikura K: Redirection of silencing targets by adenosine-to-inosine editing of miRNAs. Science. 315:1137–1140. 2007. View Article : Google Scholar : PubMed/NCBI

9 

Seitz H, Royo H, Bortolin ML, Lin SP, Ferguson-Smith AC and Cavaillé J: A large imprinted microRNA gene cluster at the mouse Dlk1-Gtl2 domain. Genome Res. 14:1741–1748. 2004. View Article : Google Scholar : PubMed/NCBI

10 

Deng Y, Xiong Y and Liu Y: miR-376c inhibits cervical cancer cell proliferation and invasion by targeting BMI1. Int J Exp Pathol. 97:257–265. 2016. View Article : Google Scholar : PubMed/NCBI

11 

Formosa A, Markert EK, Lena AM, Italiano D, Finazzi-Agro' E, Levine AJ, Bernardini S, Garabadgiu AV, Melino G and Candi E: MicroRNAs, miR-154, miR-299-5p, miR-376a, miR-376c, miR-377, miR-381, miR-487b, miR-485-3p, miR-495 and miR-654-3p, mapped to the 14q32.31 locus, regulate proliferation, apoptosis, migration and invasion in metastatic prostate cancer cells. Oncogene. 33:5173–5182. 2014. View Article : Google Scholar : PubMed/NCBI

12 

Wang K, Jin J, Ma T and Zhai H: miR-376c-3p regulates the proliferation, invasion, migration, cell cycle and apoptosis of human oral squamous cancer cells by suppressing HOXB7. Biomed Pharmacother. 91:517–525. 2017. View Article : Google Scholar : PubMed/NCBI

13 

Iwaki J, Kikuchi K, Mizuguchi Y, Kawahigashi Y, Yoshida H, Uchida E and Takizawa T: miR-376c down-regulation accelerates EGF-dependent migration by targeting GRB2 in the HuCCT1 human intrahepatic cholangiocarcinoma cell line. PLoS One. 8:e694962013. View Article : Google Scholar : PubMed/NCBI

14 

Zehavi L, Avraham R, Barzilai A, Bar-Ilan D, Navon R, Sidi Y, Avni D and Leibowitz-Amit R: Silencing of a large microRNA cluster on human chromosome 14q32 in melanoma: Biological effects of mir-376a and mir-376c on insulin growth factor 1 receptor. Mol Cancer. 11:442012. View Article : Google Scholar : PubMed/NCBI

15 

Jin Y, Peng D, Shen Y, Xu M, Liang Y, Xiao B and Lu J: MicroRNA-376c inhibits cell proliferation and invasion in osteosarcoma by targeting to transforming growth factor-alpha. DNA Cell Biol. 32:302–309. 2013. View Article : Google Scholar : PubMed/NCBI

16 

Huang Q, Wang C, Hou Z, Wang G, Lv J, Wang H, Yang J, Zhang Z and Zhang H: Serum microRNA-376 family as diagnostic and prognostic markers in human gliomas. Cancer Biomark. 19:137–144. 2017. View Article : Google Scholar : PubMed/NCBI

17 

Dixon-McIver A, East P, Mein CA, Cazier JB, Molloy G, Chaplin T, Lister Andrew T, Young BD and Debernardi S: Distinctive patterns of microRNA expression associated with karyotype in acute myeloid leukaemia. PLoS One. 3:e21412008. View Article : Google Scholar : PubMed/NCBI

18 

Shiotani A, Murao T, Kimura Y, Matsumoto H, Kamada T, Kusunoki H, Inoue K, Uedo N, Iishi H and Haruma K: Identification of serum miRNAs as novel non-invasive biomarkers for detection of high risk for early gastric cancer. Br J Cancer. 109:2323–2330. 2013. View Article : Google Scholar : PubMed/NCBI

19 

Ye G, Fu G, Cui S, Zhao S, Bernaudo S, Bai Y, Ding Y, Zhang Y, Yang BB and Peng C: MicroRNA 376c enhances ovarian cancer cell survival by targeting activin receptor-like kinase 7: Implications for chemoresistance. J Cell Sci. 124:359–368. 2011. View Article : Google Scholar : PubMed/NCBI

20 

Jiang W, Tian Y, Jiang S, Liu S, Zhao X and Tian D: MicroRNA-376c suppresses non-small-cell lung cancer cell growth and invasion by targeting LRH-1-mediated Wnt signaling pathway. Biochem Biophys Res Commun. 473:980–986. 2016. View Article : Google Scholar : PubMed/NCBI

21 

Arand J and Sage J: G1 cyclins protect pluripotency. Nat Cell Biol. 19:149–150. 2017. View Article : Google Scholar : PubMed/NCBI

22 

Rihani A, Vandesompele J, Speleman F and Van Maerken T: Inhibition of CDK4/6 as a novel therapeutic option for neuroblastoma. Cancer Cell Int. 15:762015. View Article : Google Scholar : PubMed/NCBI

23 

Musgrove EA, Caldon CE, Barraclough J, Stone A and Sutherland RL: Cyclin D as a therapeutic target in cancer. Nat Rev Cancer. 11:558–572. 2011. View Article : Google Scholar : PubMed/NCBI

24 

Deshpande A, Pastore A, Deshpande AJ, Zimmermann Y, Hutter G, Weinkauf M, Buske C, Hiddemann W and Dreyling M: 3′UTR mediated regulation of the cyclin D1 proto-oncogene. Cell Cycle. 8:3592–3600. 2009. View Article : Google Scholar : PubMed/NCBI

25 

Mitra D, Das PM, Huynh FC and Jones FE: Jumonji/ARID1 B (JARID1B) protein promotes breast tumor cell cycle progression through epigenetic repression of microRNA let-7e. J Biol Chem. 286:40531–40535. 2011. View Article : Google Scholar : PubMed/NCBI

26 

Zheng L, Qi T, Yang D, Qi M, Li D, Xiang X, Huang K and Tong Q: microRNA-9 suppresses the proliferation, invasion and metastasis of gastric cancer cells through targeting cyclin D1 and Ets1. PLoS One. 8:e557192013. View Article : Google Scholar : PubMed/NCBI

27 

Bonci D, Coppola V, Musumeci M, Addario A, Giuffrida R, Memeo L, D'Urso L, Pagliuca A, Biffoni M, Labbaye C, et al: The miR-15a-miR-16-1 cluster controls prostate cancer by targeting multiple oncogenic activities. Nat Med. 14:1271–1277. 2008. View Article : Google Scholar : PubMed/NCBI

28 

Trompeter HI, Abbad H, Iwaniuk KM, Hafner M, Renwick N, Tuschl T, Schira J, Müller HW and Wernet P: MicroRNAs miR-17, miR-20a, and miR-106b act in concert to modulate E2F activity on cell cycle arrest during neuronal lineage differentiation of USSC. PLoS One. 6:e161382011. View Article : Google Scholar : PubMed/NCBI

29 

Hermeking H: The miR-34 family in cancer and apoptosis. Cell Death Differ. 17:193–199. 2010. View Article : Google Scholar : PubMed/NCBI

30 

Elliman SJ, Howley BV, Mehta DS, Fearnhead HO, Kemp DM and Barkley LR: Selective repression of the oncogene cyclin D1 by the tumor suppressor miR-206 in cancers. Oncogenesis. 3:e1132014. View Article : Google Scholar : PubMed/NCBI

31 

Buechner J, Tømte E, Haug BH, Henriksen JR, Løkke C, Flægstad T and Einvik C: Tumour-suppressor microRNAs let-7 and mir-101 target the proto-oncogene MYCN and inhibit cell proliferation in MYCN-amplified neuroblastoma. Br J Cancer. 105:296–303. 2011. View Article : Google Scholar : PubMed/NCBI

32 

Roth SA, Knutsen E, Fiskaa T, Utnes P, Bhavsar S, Hald ØH, Løkke C, Mestdagh P, Johansen SD, Flægstad T and Einvik C: Next generation sequencing of microRNAs from isogenic neuroblastoma cell lines isolated before and after treatment. Cancer Lett. 372:128–136. 2016. View Article : Google Scholar : PubMed/NCBI

33 

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

34 

Thorsen SB, Obad S, Jensen NF, Stenvang J and Kauppinen S: The therapeutic potential of microRNAs in cancer. Cancer J. 18:275–284. 2012. View Article : Google Scholar : PubMed/NCBI

35 

Witzel II, Koh LF and Perkins ND: Regulation of cyclin D1 gene expression. Biochem Soc Trans. 38:217–222. 2010. View Article : Google Scholar : PubMed/NCBI

36 

Molenaar JJ, Ebus ME, Koster J, van Sluis P, van Noesel CJ, Versteeg R and Caron HN: Cyclin D1 and CDK4 activity contribute to the undifferentiated phenotype in neuroblastoma. Cancer Res. 68:2599–2609. 2008. View Article : Google Scholar : PubMed/NCBI

37 

Molenaar JJ, van Sluis P, Boon K, Versteeg R and Caron HN: Rearrangements and increased expression of cyclin D1 (CCND1) in neuroblastoma. Genes Chromosomes Cancer. 36:242–249. 2003. View Article : Google Scholar : PubMed/NCBI

38 

Sun F, Fu H, Liu Q, Tie Y, Zhu J, Xing R, Sun Z and Zheng X: Downregulation of CCND1 and CDK6 by miR-34a induces cell cycle arrest. FEBS Lett. 582:1564–1568. 2008. View Article : Google Scholar : PubMed/NCBI

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November-2018
Volume 16 Issue 5

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Online ISSN:1792-1082

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Spandidos Publications style
Bhavsar SP, Løkke C, Flægstad T and Einvik C: Hsa‑miR‑376c‑3p targets Cyclin D1 and induces G1‑cell cycle arrest in neuroblastoma cells. Oncol Lett 16: 6786-6794, 2018.
APA
Bhavsar, S.P., Løkke, C., Flægstad, T., & Einvik, C. (2018). Hsa‑miR‑376c‑3p targets Cyclin D1 and induces G1‑cell cycle arrest in neuroblastoma cells. Oncology Letters, 16, 6786-6794. https://doi.org/10.3892/ol.2018.9431
MLA
Bhavsar, S. P., Løkke, C., Flægstad, T., Einvik, C."Hsa‑miR‑376c‑3p targets Cyclin D1 and induces G1‑cell cycle arrest in neuroblastoma cells". Oncology Letters 16.5 (2018): 6786-6794.
Chicago
Bhavsar, S. P., Løkke, C., Flægstad, T., Einvik, C."Hsa‑miR‑376c‑3p targets Cyclin D1 and induces G1‑cell cycle arrest in neuroblastoma cells". Oncology Letters 16, no. 5 (2018): 6786-6794. https://doi.org/10.3892/ol.2018.9431