Long non‑coding RNA NEAT1 modifies cell proliferation, colony formation, apoptosis, migration and invasion via the miR‑4500/BZW1 axis in ovarian cancer.

Ovarian cancer (OC) is a frequently occurring malignant tumor in women. Increasing evidence has indicated that long non‑coding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 (NEAT1) participates in OC pathogenesis. Thus, the aim of the present study was to explore the function of NEAT1 during OC progression. The expression levels of NEAT1, microRNA (miR)‑4500 and basic leucine zipper and W2 domain‑containing protein 1 (BZW1) were assessed via reverse transcription‑quantitative PCR and western blotting. Furthermore, cell proliferation, colony formation, apoptosis, migration and invasion were assessed using Cell‑Counting Kit 8, colony formation, flow cytometry and Transwell assays, respectively. Cell glycolysis was analyzed using an XF96 metabolic flux analyzer, and the relationship between miR‑4500 and NEAT1 or BZW1 was verified via dual‑luciferase reporter and RNA binding protein immunoprecipitation assays. miR‑4500 expression levels were low, whereas NEAT1 expression levels were high in OC tissues and cell lines compared with control tissues and cell lines. Moreover, the results indicated that NEAT1 was a sponge of miR‑4500, which directly targeted BZW1. NEAT1 knockdown induced OC cell apoptosis, and inhibited OC cell proliferation, colony formation, migration, invasion and glycolysis. miR‑4500 inhibitor reversed NEAT1 knockdown‑mediated effects. Similarly, miR‑4500 mimic‑mediated effects on cell functions were reversed by BZW1 overexpression. In addition, the results indicated that BZW1 expression was regulated by NEAT1 and miR‑4500. Collectively, the present study suggested that NEAT1 modulated cell proliferation, colony formation, apoptosis, migration, invasion and glycolysis via the miR‑4500/BZW1 axis in OC; therefore, NEAT1 may serve as a therapeutic target for OC.

Introduction

Ovarian cancer (OC) is a frequently occurring malignant tumor worldwide (1). At the stage of diagnosis, the majority of patients with OC present with cancer cell metastases (2). Despite significant advances in the treatment of OC, the therapeutic efficiency and prognosis of the disease remain unsatisfactory (3,4). Therefore, although the pathogenesis of OC has been previously reported (5), the exact regulatory mechanism underlying OC requires further investigation.

Long non-coding RNAs (lncRNAs) are composed of >200 nucleotides and originate from the multitudinous class of genome transcripts (6). Increasing evidence has indicated that lncRNAs serve a vital role in diverse cellular functions, such as cell proliferation, apoptosis, migration and autophagy (7–9). Over the past few decades, it has been revealed that the aberrant expression of lncRNAs is associated with the progression and initiation of various tumors, including human OC (10–12). In particular, metastasis-associated lung adenocarcinoma transcript 1 is associated with poor prognosis and may serve as a biomarker in colorectal cancer (13). High expression levels of HOX transcript antisense RNA are related to poor prognosis and tumor metastasis in human OC (14). Moreover, lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1), which is highly expressed in multiple types of cancer, is related to OC prognosis (15). In addition, it has also been reported that the aberrant expression of NEAT1 promotes tumorigenesis, metastasis and paclitaxel resistance in human OC (16,17). The aforementioned studies indicate that NEAT1 is highly associated with OC progression, therefore, the precise function of NEAT1 in the molecular mechanisms underlying OC requires further investigation.

MicroRNAs (miRNAs/miRs) are a class of small non-coding RNAs (~22 nucleotides in length) that can suppress target protein expression by repressing translation or promoting mRNA degradation (18). Previous studies have demonstrated that miRNA dysfunction participates in cancer progression (19–22). The role and sequences of miR-4500 have been previously reported (23,24), and the inhibitory effects of miR-4500 on cancer progression have been partially identified (25,26). For example, miR-4500 limits tumor development by targeting high mobility group AT-hook 2 in colorectal cancer (26). By contrast, the function of miR-4500 in OC is not completely understood; therefore, the present study aimed to explore the effects of miR-4500 on OC cell behaviors in vitro.

Basic leucine zipper and W2 domain-containing protein 1 (BZW1; also known as BZAP45) is expressed in a diverse number of human tissues and cell lines (27). BZW1 promotes salivary mucoepidermoid carcinoma development (28), whereas its influence during OC pathogenesis is not completely understood.

In the present study, the expression levels and roles of NEAT1, miR-4500 and BZW1 during the progression and initiation of OC were investigated.

Materials and methods

Patient samples and cell culture

The present study was approved by the Ethical Committee of Jingzhou Hospital of Traditional Chinese Medicine, The Third Clinical Medical College of Yangtze University. Written informed consent was obtained from all participants. Tumor tissues and adjacent noncancerous tissues (>5 cm from the tumor margin) were obtained from 30 patients with OC (aged 37–68 years) who received resection treatment at Jingzhou Hospital of Traditional Chinese Medicine, The Third Clinical Medical College of Yangtze University between June 2017 and June 2018. OC was validated by histological examination according to World Health Organization criteria (29). All patients had not received adjuvant chemotherapy prior to surgery.

The OC cell lines (CAOV3 and ES-2) were purchased from ATCC and normal control cells (IOSE80) were purchased from BeNa Culture Collection, Beijing Beina Chunglian Biotechnology Research Institute. CAOV3 and IOSE80 cells were cultured in DMEM (Corning Inc.), and ES-2 cells were cultured in McCoy's 5a (modified) Medium (Sigma-Aldrich; Merck KGaA). Both culture mediums were supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.), 100 units/ml penicillin and 100 mg/ml streptomycin. Cells were cultured at 37°C with 5% CO2.

Transient transfection

A small interfering RNA (siRNA) targeted against NEAT1 (si-NEAT1, 5′-GCCAUCAGCUUUGAAUAAAUU-3′) and its negative control (NC; si-NC, 5′-UUCUCCGAACGUGUCACUTT-3′) were designed by Guangzhou RiboBio Co., Ltd. BZW1 sequences were inserted into the pcDNA3.1 vector (Invitrogen; Thermo Fisher Scientific, Inc.) to construct a BZW1 overexpression vector. An empty pcDNA3.1 vector serves as the control (pcDNA). miR-4500 mimic (miR-4500, 5′-UGAGGUAGUAGUUUCUUGCGCC-3′), inhibitor (anti-miR-4500, 5′-GGCGCAAGAAACUACUACCUCA-3′) and their relative controls (miR-NC, 5′-GAAAUGUACUUGAGCGUGGAGAC-3′; and anti-miR-NC, 5′-CUAAAACCGGCCGUACGGCGUU-3′) were designed and synthesized by Guangzhou RiboBio Co., Ltd. BZW1 overexpression vector or pcDNA (0.2 µg) was transfected into CAOV3 and ES-2 cells (5×104 cells) with 0.5 µl Lipofectamine® 2000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.). Moreover, si-NEAT1, si-NC, miR-4500 mimic, anti-miR-4500, miR-NC or anti-miR-NC (0.5 µg) was transfected into cells using 0.6 µl Lipofectamine 2000 (Invitrogen; Thermo Fisher Scientific, Inc.), according to manufacturer's protocol. After 48 h transfection, the transfected cells were used for subsequent experiments.

Reverse transcription-quantitative PCR (RT-qPCR)

Total RNA was extracted from patient samples and cell lines (CAOV3 and ES-2) using RNAiso Plus (Takara Biotechnology Co., Ltd.). Total RNA was reverse transcribed into cDNA using PrimeScript RT Master Mix (Takara Biotechnology Co., Ltd.) at 50°C for 15 min and 85°C for 5 sec. Subsequently, qPCR was performed using SYBR Premix Ex Taq II (Takara Biotechnology Co., Ltd) and an AB7900 Real-Time PCR System machine (Applied Biosystems; Thermo Fisher Scientific, Inc.). The amplification parameters were as follows: Denaturation at 95°C for 10 min; followed by 40 cycles of denaturation at 95°C for 30 sec and annealing at 60°C for 30 sec; and final extension at 72°C for 1 min. The following primers (designed and synthesized by Guangzhou RiboBio Co., Ltd.) were used for qPCR: SOX4 forward, 5′-GGCCTGTTTCGCTGTCGGGT-3′ and reverse, 5′-GCCTGCATGCAACAGACTGGC-3′; HOTAIR forward, 5′-TAGGCAAATGTCAGAGGGTT-3′ and reverse, 5′-CTTAAATTGGGCTGGGTCT-3′; plasmacytoma variant translocation 1 forward, 5′-TGAGAACTGTCCTTACGTGACC-3′ and reverse, 5′-AGAGCACCAAGACTGGCTCT-3′; growth arrest-specific transcript 5 forward, 5′-CCCAAGGAAGGATGAG-3′ and reverse, 5′-ACCAGGAGCAGAACCA-3′; oryzacystatin-1 forward, 5′-TTCCAGCGCATGTCGGCGCTC-3′ and reverse, 5′-GGTACTAGTCCGTGGTTCTTC-3′; human ovarian cancer specific transcript 2 forward, 5′-GGACAGGTCCCTTGTTTCAA-3′ and reverse, 5′-CTGGTCTTTCCTTGCCTCTG-3′; NEAT1 forward, 5′-TGGCTAGCTCAGGGCTTCAG-3′ and reverse, 5′-TCTCCTTGCCAAGCTTCCTTC-3′; miR-4500 forward, 5′-CGTCGCACTGTGAGGTAGTAG-3′ and reverse, 5′-TATGCTTGTTCTCGTCTCTGTGTC-3′; BZW1 forward, 5′-TACCGTCGATATGCAGAAACAC-3′ and reverse, 5′-CCATTAGCCAGAAGAACACCAG-3′; GAPDH forward, 5′-TGCACCACCAACTGCTTAGC-3′ and reverse, 5′-GGCATGCACTGTGGTCATGAG-3′; and U6 forward, 5′-ATTGGAACGATACAGAGAAGATT-3′ and reverse, 5′-GGAACGCTTCACGAATTTG-3′. miRNA and mRNA expression levels were quantified using the 2−∆∆Cq method (30) and normalized to the internal reference genes U6 and GAPDH, respectively.

Cell Counting Kit-8 (CCK-8) assay for cell proliferation

CAOV3 and ES-2 cells were seeded (5×104 cells/well) into a 96-well plate. At 70% confluence, cells were transfected according to the aforementioned protocol. After incubation for 24, 48 or 72 h at 37°C, CCK-8 reagent (Beyotime Institute of Biotechnology) was added to each well according to manufacturer's protocol. Following incubation for 4 h at 37°C, the absorbance of each well was measured using a microplate reader.

Colony formation

Transfected CAOV3 and ES-2 cells (5×102 cells/well) were seeded into 6-well plates and cultured for 2 weeks at 37°C, and the culture medium was replaced with fresh medium every 4 days. Then, cells were washed using PBS, fixed with 4% paraformaldehyde for 15 min at room temperature, and stained with 0.5% crystal violet (Sigma-Aldrich; Merck KGaA) for 10 min at room temperature. The number of colonies (containing >50 cells) was observed and counted using an optical microscope.

Flow cytometry assay to detect cell apoptosis

Cell apoptosis was detected using the Annexin V-FITC/PI detection kit (Nanjing KeyGen Biotech Co., Ltd.), according to the manufacturer's protocol. Briefly, transfected CAOV3 and ES-2 cells (5×104) were incubated with 5 µl Annexin V-FITC and 5 µl propidium iodide in the dark for 15 min at 4°C. Apoptotic cells were detected by flow cytometry using a FACScan flow cytometer (BD Biosciences) and analyzed using Cell Quest software version 3.3 (BD Bioscience). The rate of apoptosis was presented as the percentage of early apoptosis OC cells in the total number of OC cells.

Transwell assay

At 60–80% confluence, CAOV3 and ES-2 were transfected according to the aforementioned protocol. At 24 h post-transfection, cells were collected and washed with Hanks' balanced salt solution (Invitrogen; Thermo Fisher Scientific, Inc.). Cell migration and invasion were assessed using a 24-well Transwell system (pore size, 8 µm; Costar; Corning Inc.). To assess cell invasion, the upper chambers were precoated with Matrigel® at 4°C for 12 h. Transfected cells (5×104 cells/well) were seeded into the upper chamber with 200 µl serum-free medium. Complete medium with 10% FBS was seeded into the lower chamber. Following incubation for 24 h at 37°C, migratory/invading cells were stained with 0.5% crystal violet (Sigma-Aldrich; Merck KGaA) at room temperature for 20 min. Stained cells were observed and photographed using an inverted microscope.

Glycolysis analysis

The extracellular acidification rate (ECAR) of OC cells was evaluated using an XF96 metabolic flux analyzer (Seahorse Biosciences; Agilent Technologies, Inc.), according to the manufacturer's protocol. Briefly, 10 mM glucose, 1 mM oligomycin and 80 mM 2-deoxyglucose were added at the indicated time points. Seahorse XF-96 Wave software (Seahorse Bioscience; Agilent Technologies, Inc.) was used to analyze the ECAR of OC cells.

Dual-luciferase reporter assay

StarBase (http://starbase.sysu.edu.cn/starbase2/) was used to screen the putative target. The complementary sequences between miR-4500 and wild-type (WT) or mutant (Mut) NEAT1 were amplified and cloned into the pGL3 basic vector (Promega Corporation) to construct luciferase reporter vectors (NEAT1-WT and NEAT1-Mut, respectively). Similarly, the complementary sequences between miR-4500 and WT or Mut BZW1 were cloned into the pGL3 basic vector to construct luciferase reporter vectors (BZW1-WT and BZW-Mut, respectively). Subsequently, CAOV3 and ES-1 cells (5×104 cells) were co-transfected with 400 ng of luciferase reporter (NEAT1-WT, NEAT1-Mut, BZW-WT or BZW-Mut) and miR-4500 mimic (50 nM) using Lipofectamine 2000 (Invitrogen; Thermo Fisher Scientific, Inc.). After incubation for 48 h at 37°C, luciferase activities were detected using the Dual-Luciferase Reporter Assay System (Promega Corporation), according to the manufacturer's protocol. Firefly luciferase activities were normalized to Renilla luciferase activities.

RNA binding protein immunoprecipitation (RIP)

The RIP assay was performed using the Magna RIP RNA-Binding Protein Immunoprecipitation kit (EMD Millipore). Western blotting was performed to detect the expression levels of Ago2 (cat. no. ab32381; 1:1,000; Abcam) and RT-qPCR was performed to measure the expression levels of NEAT1 and miR-4500 in the precipitates. IgG served as the control (cat. no. ab150077; 1:1,000; Abcam).

Western blotting

Western blotting was performed as previously described (31). In brief, total protein was extracted from tissues and cell lines using RIPA lysis buffer (EMD Millipore). Total protein concentration was measured using a BCA Protein assay kit (Nanjing KeyGen Biotech Co., Ltd.), according to the manufacturer's protocol. Equal amounts of protein (~30 µg) were separated via SDS-PAGE on a 12% gel, and subsequently transferred onto PVDF membranes (EMD Millipore). After blocking with 5% skimmed milk at room temperature for 2 h, the membranes were incubated overnight at 4°C with the following primary antibodies: BZW1 (cat. no. ab85090; 1:800; Abcam) and GAPDH (cat. no. ab8245; 1:8,000; Abcam). Following primary incubation, the membranes were incubated with horseradish peroxidase (HRP)-conjugated goat anti-rabbit IgG H&L (cat. no. ab205718; 1:2,000; Abcam) and HRP-conjugated goat anti-mouse IgG H&L (cat. no. ab205719; 1:2,000; Abcam) at room temperature for 40 min. Protein bands were visualized using the Enhanced Chemiluminescence Plus kit (EMD Millipore) and semi-quantified by densitometric analysis of protein signals using ImageJ version 1.49 (National Institutes of Health).

Statistical analysis

All experiments were repeated at least three times. Statistical analyses were performed using GraphPad software (version 5.0; GraphPad Software, Inc.). Data are expressed as the mean ± SD. Differences between paired tumor tissues and adjacent noncancerous tissues were analyzed using the paired Student's t-test. Differences between two groups were analyzed using the unpaired Student's t-test. Differences among multiple groups were analyzed using one-way ANOVA followed by Tukey's post hoc test. Spearman's correlation coefficient was used to analyze the relationship between miR-4500 expression and NEAT1 expression. P<0.05 was considered to indicate a statistically significant difference.

Results

NEAT1 is upregulated in OC tissues and cell lines

RT-qPCR was performed to assess the expression of multiple lncRNAs in 30 paired OC and adjacent noncancerous tissue samples. NEAT1 was chosen for subsequent experiments as it displayed the highest expression levels in tumor samples compared with matched normal tissue samples (Fig. 1A). The expression levels of NEAT1 in OC cell lines (CAOV3 and ES-2) were also detected via RT-qPCR. The results indicated that NEAT1 expression was significantly higher in OC cell lines compared with normal ovarian cells (Fig. 1B). Collectively, the results demonstrated that the aberrant expression of NEAT1 may be associated with the progression of human OC.

Figure 1.

NEAT1 is upregulated in OC tissues and cell lines. (A) lncRNA expression levels in OC tissues and adjacent noncancerous tissues. (B) NEAT1 expression levels in OC cell lines and a control cell line. *P<0.05, as indicated. NEAT1, nuclear paraspeckle assembly transcript 1; OC, ovarian cancer; lncRNA, long non-coding RNA.

NEAT1 knockdown increases cell apoptosis, and decreases cell proliferation, colony formation, migration, invasion and glycolysis in vitro

To investigate whether NEAT1 served a critical role in ovarian carcinogenesis, NEAT1 knockdown was performed in CAOV3 and ES-2 cells. si-NEAT1 significantly reduced NEAT1 expression levels compared with si-NC (Fig. 2A). CAOV3 and ES-2 cell proliferation was assessed by the CCK-8 assay, which indicated that NEAT1 knockdown significantly decreased cell proliferation in both cell lines compared with si-NC (Fig. 2B and C). In addition, the effect of si-NEAT1 on colony formation was assessed. Colony formation was inhibited by NEAT1 knockdown in OC cell lines (Fig. 2D). By contrast, cell apoptosis was significantly increased following transfection with si-NEAT1 compared with si-NC (Fig. 2E). Furthermore, the role of NEAT1 in cell migration and invasion was analyzed using Transwell assays. The results suggested that CAOV3 and ES-2 cell migration and invasion were significantly inhibited by si-NEAT1 compared with si-NC (Fig. 2F and G). Moreover, si-NEAT1 significantly inhibited OC cell glycolysis compared with si-NC (Fig. 2H and I). The aforementioned results indicated that NEAT1 knockdown suppressed OC cell progression in vitro.

Figure 2.

NEAT1 knockdown increases cell apoptosis, and inhibits cell proliferation, colony formation, migration, invasion and glycolysis in vitro. CAOV3 and ES-2 cells were transfected with si-NEAT1 or si-NC. (A) Transfection efficiency of NEAT1 knockdown. The CCK-8 assay was performed to assess (B) CAOV3 and (C) ES-2 cell proliferation at 72 h. (D) The colony formation assay was performed to assess colony formation. (E) Cell apoptosis was assessed via flow cytometry. (F) CAOV3 and (G) ES-2 cell migration and invasion were determined using Transwell assays (magnification, ×100). ECAR in (H) CAOV3 and (I) ES-2 cells was detected using an XF96 metabolic flux analyzer. *P<0.05, as indicated. NEAT1, nuclear paraspeckle assembly transcript 1; si, small interfering RNA; NC, negative control; CCK-8, Cell Counting Kit-8; ECAR, extracellular acidification rate; PI, propidium iodide; OM, oligomycin; 2-DG, 2-deoxyglucose.

NEAT1 is a sponge of miR-4500

The starBase database was used to predict potential targets of NEAT1, and RT-qPCR was performed to detect the expression levels of the potential targets in si-NC and si-NEAT1-transfected ES-2 cells. Following NEAT1 knockdown, the expression levels of miR-4500 were significantly increased in ES-2 cells compared with si-NC-transfected ES-2 cells (Fig. 3A). Furthermore, the binding sites between miR-4500 and NEAT1 were identified (Fig. 3B). The transfection efficiency of miR-4500 mimic is presented in Fig. 3C. Subsequently, CAOV3 and ES-2 cells were transfected with luciferase reporters, including NEAT1-WT and NEAT1-Mut. miR-4500 mimic significantly inhibited NEAT-WT luciferase activities in CAOV3 and ES-2 cells compared with miR-NC. By contrast, miR-4500 mimic displayed no effect on the luciferase activities of NEAT1-Mut (Fig. 3D and E). The binding between miR-4500 and NEAT1 was also verified using the RIP assay (Fig. 3F and G). In addition, NEAT1 knockdown significantly upregulated miR-4500 expression in CAOV3 cells compared with si-NC-transfected cells (Fig. 3H). miR-4500 expression levels were significantly decreased in OC tissue samples and cell lines compared with the corresponding controls (Fig. 3I and J). The results also indicated that miR-4500 expression was negatively correlated with NEAT1 expression (Fig. 3K). Therefore, the results indicated that miR-4500 was targeted by NEAT1.

Figure 3.

NEAT1 is a sponge of miR-4500. (A) miRNA expression levels in si-NC and si-NEAT1-transfected cells. (B) The binding sites (red) between miR-4500 and NEAT1 were predicted using starBase. (C) Transfection efficiency of miR-4500 mimic. Dual-luciferase reporter assays were performed to investigate the relationship between miR-4500 and NEAT1 in (D) ES-2 and (E) CAOV3 cells. The RNA binding protein immunoprecipitation assay was conducted to validate the relationship between miR-4500 and NEAT1 in (F) CAOV3 and (G) ES-2 cells. (H) miR-4500 expression levels in CAOV3 cells following transfection with si-NEAT1 or si-NC. miR-4500 expression levels in ovarian cancer (I) tissues and (J) cell lines. (K) The correlation between miR-4500 expression and NEAT1 expression. *P<0.05, as indicated. NEAT1, nuclear paraspeckle assembly transcript 1; miR, microRNA; si, small interfering RNA; NC, negative control; WT, wild-type; Mut, mutant; IP, immunoprecipitation; WB, western blotting.

miR-4500 inhibitor abolishes NEAT1 knockdown-mediated effects on cell behaviors

Based on the interaction between NEAT1 and miR-4500, CAOV3 and ES-2 cells were transfected with si-NC, si-NEAT1, si-NEAT1 + anti-miR-NC or si-NEAT1 + anti-miR-4500. miR-4500 knockdown significantly decreased miR-4500 expression levels compared with the anti-miR-NC group (Fig. 4A). miR-4500 knockdown also reversed NEAT1 knockdown-mediated effects on miR-4500 expression (Fig. 4B). Furthermore, NEAT1 knockdown-mediated inhibition of cell proliferation was decreased by miR-4500 knockdown (Fig. 4C and D). Similarly, the inhibitory effects of NEAT1 knockdown on colony formation were reversed by miR-4500 knockdown (Figs. 4E and S1A). miR-4500 knockdown also decreased the rate of NEAT1 knockdown-induced cell apoptosis (Figs. 4F and S1B). Cell migration and invasion were assessed using the Transwell assay, which indicated that si-NEAT1 significantly decreased cell migration and invasion compared with si-NC. However, following transfection with miR-4500 inhibitor, NEAT1 knockdown-mediated effects on cell migration and invasion were reversed (Figs. 4G, H, S1C and D). Moreover, miR-4500 knockdown reversed the inhibitory effect of NEAT1 knockdown on OC cell glycolysis (Fig. 4I and J). Taken together, the results indicated that NEAT1 knockdown-mediated effects on cell proliferation, colony formation, apoptosis, migration, invasion and glycolysis were reversed by miR-4500 knockdown.

Figure 4.

miR-4500 inhibitor reverses NEAT1 knockdown-mediated effects on cell behavior. (A) Transfection efficiency of anti-miR-4500. (B) miR-4500 expression levels in CAOV3 and ES-2 cells transfected with si-NC, si-NEAT1, si-NEAT1 + anti-miR-NC or si-NEAT1 + anti-miR-4500. The CCK-8 assay was performed to assess (C) CAOV3 and (D) ES-2 cell proliferation at 72 h. (E) The effects of NEAT1 knockdown and miR-4500 inhibitor on colony formation. (F) Cell apoptosis was assessed via flow cytometry. Transwell assays were conducted to investigate the effect of NEAT1 knockdown and miR-4500 inhibitor on (G) CAOV3 and (H) ES-2 cell migration and invasion. ECAR in (I) CAOV3 and (J) ES-2 cells determined using an XF96 metabolic flux analyzer. *P<0.05, as indicated. miR, microRNA; NEAT1, nuclear paraspeckle assembly transcript 1; si, small interfering RNA; NC, negative control; CCK-8, Cell Counting Kit-8; ECAR, extracellular acidification rate; OM, oligomycin; 2-DG, 2-deoxyglucose.

BZW1 is a target gene of miR-4500

Subsequently, the mechanism underlying the tumor suppressor role of miR-4500 in OC carcinogenesis was investigated. The potential target genes of miR-4500 were predicted and a common fragment domain between miR-4500 and BZW1 was identified (Fig. 5A). The dual-luciferase reporter assay suggested that the luciferase activities of the WT group were significantly reduced by miR-4500 mimic compared with miR-NC, whereas miR-4500 mimic did not alter the luciferase activities of the Mut group (Fig. 5B and C). The protein expression levels of BZW1 were evaluated via western blotting. miR-4500 mimic decreased BZW protein expression levels in both CAOV3 and ES-2 cells compared with miR-NC (Fig. 5D and E), which indicated that BZW1 was directly targeted by miR-4500.

Figure 5.

BZW1 is a target gene of miR-4500. (A) The binding sites between miR-4500 and BZW1 (red) were predicted using starBase. Dual-luciferase reporter assays were performed to investigate the interaction between miR-4500 and BZW1 in (B) CAOV3 and (C) ES-2 cells. The effect of miR-4500 mimic on BZW1 expression in (D) CAOV3 and (E) ES-2 cells. *P<0.05, as indicated. BZW1, basic leucine zipper and W2 domain-containing protein 1; miR, microRNA; UTR, untranslated region; NC, negative control; WT, wild-type; Mut, mutant.

BZW1 overexpression reverses miR-4500-mediated effects on OC cell behavior

Based on the molecular mechanism between miR-4500 and BZW1, subsequent assays were performed to identify the regulatory function between miR-4500 and BZW1. The transfection efficiency of the BZW1 overexpression vector is presented in Fig. 6A. Subsequently, CAOV3 and ES-2 cells were transfected with miR-NC + pcDNA, miR-4500 + pcDNA or miR-4500 + BZW1 overexpression vector. The protein expression levels of BZW1, which were significantly inhibited by miR-4500 mimic, were restored by BZW1 overexpression (Fig. 6B and C). Moreover, BZW1 overexpression inhibited the repressive effect of miR-4500 mimic on CAOV3 and ES-2 cell proliferation (Fig. 6D and E). Similarly, colony formation, which was significantly inhibited by miR-4500 mimic, was rescued following BZW1 overexpression (Figs. 6F and S2A). In addition, the rate of miR-4500 mimic-induced cell apoptosis was decreased by BZW1 overexpression (Figs. 6G and S2B). The Transwell assay indicated that BZW1 overexpression partially reversed the inhibitory effects of miR-4500 mimic on OC cell migration and invasion (Figs. 6H, I, S2C and D). Furthermore, miR-4500 mimic-mediated inhibition of glycolysis was recovered by BZW1 overexpression (Fig. 6J and K). Collectively, the results indicated that miR-4500 mimic-mediated effects on cell behavior were reversed by BZW1 overexpression.

Figure 6.

BZW1 overexpression reverses miR-4500 mimic-mediated effects on OC cell behavior. (A) Transfection efficiency of BZW1 overexpression. CAOV3 and ES-2 cells were transfected with miR-NC + pcDNA, miR-4500 + pcDNA or miR-4500 + BZW1. BZW1 protein expression levels in (B) CAOV3 and (C) ES-2 cells. The CCK-8 assay was performed to assess (D) CAOV3 and (E) ES-2 cell proliferation at 72 h. (F) Colony formation was evaluated by performing a colony formation assay. (G) OC cell apoptosis was determined via flow cytometry. Transwell assays were performed to investigate the function of miR-4500 and BZW1 in (H) CAOV3 and (I) ES-2 cell migration and invasion. ECAR in (J) CAOV3 and (K) ES-2 cells was determined using an XF96 metabolic flux analyzer. *P<0.05, as indicated. BZW1, basic leucine zipper and W2 domain-containing protein 1; miR, microRNA; OC, ovarian cancer; NC, negative control; CCK-8, Cell Counting Kit-8; ECAR, extracellular acidification rate; OM, oligomycin; 2-DG, 2-deoxyglucose.

BZW1 expression is co-regulated by NEAT1 and miR-4500

Based on the biological roles of NEAT1, miR-4500 and BZW1 in OC pathogenesis, the underlying modulatory mechanism was investigated. The present study aimed to investigate how BZW1 expression was regulated in OC. Following transfection with si-NC, si-NEAT1, si-NEAT1 + anti-miR-NC or si-NEAT1 + anti-miR-4500, the mRNA expression levels of BZW1 in CAOV3 and ES-2 cells were determined via RT-qPCR. The results indicated that NEAT1 knockdown significantly decreased the mRNA expression levels of BZW1 compared with si-NC, which was reversed by miR-4500 inhibitor (Fig. 7A and B). Furthermore, the protein expression levels of BZW1 were measured by performing western blotting and displayed a similar pattern to mRNA expression levels (Fig. 7C and D). In summary, the results indicated that the mRNA and protein expression levels of BZW1 were modulated by NEAT1 and miR-4500 in OC cell lines.

Figure 7.

BZW1 expression is co-regulated by NEAT1 and miR-4500. CAOV3 and ES-2 cells were transfected with si-NC, si-NEAT1, si-NEAT1 + anti-miR-NC or si-NEAT1 + anti-miR-4500. BZW1 mRNA expression levels in (A) CAOV3 and (B) ES-2 cells. BZW1 protein expression levels in (C) CAOV3 and (D) ES-2 cells. *P<0.05, as indicated. BZW1, basic leucine zipper and W2 domain-containing protein 1; NEAT1, nuclear paraspeckle assembly transcript 1; miR, microRNA; si, small interfering RNA; NC, negative control.

Discussion

lncRNAs participate in the progression of various tumors, with a number of lncRNAs serving as sponges of miRNAs (32). For example, it has been reported that growth arrest-specific 5 is closely associated with multiple types of cancer, such as breast and gastric cancer (33–35). NEAT1, the target lncRNA investigated in the present study, responds to proteasome inhibition (36) and is associated with the poor survival of patients with breast cancer (37). In the present study, NEAT1 expression levels were significantly increased in OC tissues and cell lines (CAOV3 and ES-2) compared with control tissues and cell lines, which was consistent with a previous study (15). Furthermore, it has been reported that NEAT1 mediates oncogenic growth by altering the epigenetic landscape of target genes, thereby promoting oncogenic gene transcription in prostate cancer (38). However, the functions of NEAT1 during human OC development require further investigation. Based on the high expression of NEAT1 in OC, the specific role of NEAT1 knockdown on OC cell behaviors, such as cell proliferation, colony formation, apoptosis, migration, invasion and glycolysis, was investigated in the present study. NEAT1 knockdown enhanced cell apoptosis, but inhibited cell proliferation, colony formation, migration, invasion and glycolysis in vitro. The results indicated that NEAT1 may serve as an oncogene in OC pathogenesis and NEAT1 knockdown may suppress the progression of OC. Although it has been reported that NEAT1 is a sponge of miR-34a-5p in OC (39), further molecular functions of NEAT1 require investigation.

Several studies have demonstrated that lncRNAs regulate target miRNAs (40,41). NEAT1 may monitor tumorigenesis and malignant progression by sponging miRNAs (42). miR-4500 has been identified as a tumor suppressor in a number of diseases, including non-small cell lung (25) and colorectal (26) cancer. In the present study, the interaction between miR-4500 and NEAT1 was predicted and verified. The results suggested that NEAT1 regulated cell functions by targeting miR-4500. In addition, miR-4500 inhibitor reversed NEAT1 knockdown-mediated effects on OC cell behaviors, including cell proliferation, colony formation, apoptosis, migration, invasion and glycolysis. Based on the function of miR-4500 during OC progression, the target genes of miR-4500 need to be identified.

A previous study demonstrated that BZW1, which belongs to the bZIP superfamily of transcription factors, serves a crucial role in salivary mucoepidermoid carcinoma (28). In the present study, BZW1 was identified as a target gene of miR-4500. The effects of miR-4500 mimic on OC cell functions were reversed by BZW1 overexpression. The aforementioned results indicated that BZW1 may serve a promoting role during OC progression, which was consistent with a previous study (43).

Collectively, the present study indicated that NEAT1 may serve as an oncogene during OC progression. NEAT1 knockdown facilitated cell apoptosis, and inhibited cell proliferation, colony formation, migration, invasion and glycolysis. The effects of NEAT1 knockdown were reversed by miR-4500 knockdown and the tumor suppressive effects of miR-4500 were reversed by BZW1 overexpression. miR-4500 was identified as target of NEAT1 and directly targeted BZW1. The results indicated that NEAT1 mediated cell behavior and tumor progression via the miR-4500/BZW1 axis in human OC. However, the present study did not identify the regulatory mechanism underlying NEAT1 in OC progression and initiation; therefore, the biological role of NEAT1 in human diseases requires further investigation.