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. 2018 Sep 11;16(5):6566–6572. doi: 10.3892/ol.2018.9427

miR-34a targets BCL-2 to suppress the migration and invasion of sinonasal squamous cell carcinoma

Yigang Zhao 1, Xianzhi Wang 1,✉
PMCID: PMC6202510  PMID: 30405796

Abstract

Sinonasal squamous cell carcinomas (SN-SCC) are rare tumors with low survival rate. It was reported that miR-34a expression is low in many cancers and acted as a tumor suppressor. But the biological function of miR-34a in SN-SCC has hardly been reported. Therefore, we explored the role and underlying mechanism of miR-34a in the migration and invasion of SN-SCC. Western blot analysis and RT-PCR were carried out to examine B-cell lymphoma-2 (BCL-2) and miR-34a expression in SN-SCC. Transwell assay was performed to test the SN-SCC migratory and invasive ability. Luciferase reporter assay was carried out to verify the target of miR-34a. Results demonstrated that miR-34a expression was lower in SN-SCC tissues and cells than normal SN-SCC. Re-expression of miR-34a inhibited cell migration and invasion, while had the opposite effect on inhibition of miR-34a. We also found that BCL-2 expression was higher in SN-SCC and silencing BCL-2 curbed the development of SN-SCC. BCL-2 was found to be a target of miR-34a and negatively correlated with miR-34a expression. Furthermore, BCL-2 attenuated the miR-34a inhibitory effect on SN-SCC cell migration and invasion. In short, these data demonstrated that miR-34a inhibited SN-SCC cell migration and invasion through targeting BCL-2.

Keywords: miR-34a, migration, invasion, SN-SCC, DAB2

Introduction

Sinonasal squamous cell carcinoma (SN-SCC) is a malignant tumor derived from the respiratory epithelium of the sinonasal cavity, which accounts for approximately 3–6% of all head and neck cancers (1,2). SN-SCC appears mainly in nasal cavity and approximately 30% of the patients are related to contact with leather, textile or wood (3,4). Currently, the best treatment is postoperative radiotherapy, accompanied by adjuvant chemotherapy. Local recurrence of SN-SCC is the main reason for low survival rate (5,6). Therefore, looking for the additional options for treatment of SN-SCC and knowing the underlying mechanism of SN-SCC progression is necessary.

miRNAs have been reported to regulate gene expression by binding to the 3′-UTR mRNA (7). Many miRNAs are thought to be tissue-specific and the expression varies in different human cancer cells. They regulate tumor cell development, such as lung, ovary, breast cancer and cancer of the esophagus (8–11). However, there are fewer results showing the role of miRNAs in head and neck cancer including SN-SCC.

Abundant evidence shows that miR-34a expression was lower in tumors and showed an inhibitory effect on the progression of various cancers. For example, miR-34a exhibited suppression effect on esophageal squamous cell carcinoma via regulating PLCE1 (12) and inhibited the progress of gastric cancer via regulating HK1 (13). Also, miR-34a mimic inhibited ovarian cancer and cervical cancer cell proliferation by targeting BCL-2 (14,15), whereas inhibiting miR-34a promoted colorectal cancer and lung cancer development (16,17). A study found that miR-34a expression was lower in SN-SCC and related to the poor prognosis of patients (18). However, the biological function of miR-34a in SN-SCC progression and whether miR-34a targeted BCL-2 in regulating SN-SCC migration and invasion has not been previously reported.

B-cell lymphoma-2 (BCL-2) plays an important role in cell apoptosis. In all tumors, apoptosis is an important target for treatment intervention. Previous studies had reported that BCL-2 induced apoptosis of mitochondrial cells, indicating that BCL-2 played a role in tumor development by blocking apoptosis (19). BCL-2 expression was higher in multiple cancers and regulated by various miRNAs, such as pancreatic adenocarcinoma regulated by miR-126 (20), breast cancer regulated by miR-27a (21), gastric cancer by miR-711 (22), pancreatic cancer by miR-1180 (23). A previous study reported that BCL-2 expression was obviously increased in SN-SCC (24,25) and it is involved in the tumor cell proliferation, migration, invasion and apoptosis. However, the biological mechanism of BCL-2 in SN-SCC cell regulated by miR-34a has not been reported.

Here, we studied the potential links of miR-34a and SN-SCC. Firstly, we found a low expression of miR-34a in SN-SCC cells and tissues by RT-PCR, suggesting miR-34a inhibitory effect in SN-SCC. Secondly, miR-34a inhibited SN-SCC cell migration and invasion. Thirdly, we found that the potential mechanism of miR-34a in SN-SCC was achieved by targeting BCL-2. We finally found that inhibitory effect of miR-34a in SN-SCC could be attenuated by BCL-2. Our research indicated that miR-34a/BCL-2axis was a potential target for treating SN-SCC.

Materials and methods

SN-SCC samples

Fifty-two SN-SCC specimens were obtained from patients who underwent surgery at Linyi People's Hospital (Linyi, China) from 2011 to 2017. Experienced pathologists confirmed the tumor and normal tissues through HE staining. Finally, tissues were stored in a refrigerator at −80°C. The study was approved by the Ethics Committee of Linyi People's Hospital. Signed written informed consents were obtained from the patients or guardians.

Cell line establishment and cell transfection

All SN-SCC cell lines (RPMI-2650, SCCNC2 and SCCNC7) used in this study were derived from the previously untreated primary SCC, which originated in the maxillary sinus. Cells were cultured in DMEM, containing 10% FBS, penicillin (100 U/ml) and streptomycin (100 µg/ml) (Beijing Solarbio Science & Technology Co., Ltd., Beijing, China), incubated at 37°C with 5% CO2.

Synthetic miR-34a mimic/inhibitor was provided by GenePharma Co., Ltd. (Shanghai, China). We transfected miR-34a mimic into SN-SCC cells to overexpress miR-34a or miR-34a inhibitor to silence miR-34. SCCNC2 and SCCNC7 cells were added into 24-well plates 24 h before transfection. The Lipofectamine 2000™ reagent (Invitrogen; Thermo Fisher Scientific, Inc., Carlsbad, CA, USA) was used to perform the transfection into SN-SCC cell lines the next day. The transfected cells were divided into several groups.

Transwell assay

The cells of each group were digested at the logarithmic stage of growth and the number of cells was calculated after transfected with miR-34a for 48 h. We seeded SN-SCC cells (1×105 cells) onto the upper chamber membrane with the medium being serum free. The RPMI-1640 medium contained 20% fetal calf serum was seeded into the lower chamber as a chemoattractant and incubated for 24 h at 37°C. Then, the upper chamber cells migrated into the lower chamber and 0.1% crystal violet was used to stain the migrated cells for another 30 min, eventually, images of the migration cells in eight random views were photographed under a microscope (Olympus, Tokyo, Japan) for records. For invasion assay, except for coating the filter in the upper chamber with Matrigel, it was similar to the Transwell migration assay.

Reverse Transcription-quantitative PCR (RT-qPCR)

TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.) was used to extract total RNA and Nanodrop 1000 (Thermo Fisher Scientific, Inc.) was carried out to quantify RNA expression. The stem-loop real-time PCR miRNA kit (Guangzhou RiboBio Co., Ltd., Guangzhou, China) was carried out to perform the specific reverse transcription. SYBR Premix Ex Taq II (Takara Bio, Inc., Otsu, Japan) was used to perform quantitative PCR. U6 and GAPDH were used as an internal control. The 2−ΔΔCq method was used to detect the mRNA expression. The sequences of the primers used were: miR-34a-F: GCGGCCAATCAGCAAGTATACT, and R: GTG CAGGGTCCGAGGT. BCL-2-F: GAAGCACAGATGGTT GATGC, and R: CACCTCACAAGGTTCCAAT. U6-F: ATT GGAACGATACAGAGAAGATT, and R: GGAACGCTT CACGAATTTG. GAPDH-F: TGGTATCGT GGAAGGACTC, and R: AGTAGAGGCAGGGATGATG.

Western blot analysis

RIPA lysis buffer containing proteinase inhibitors (Beyotime Institute of Biotechnology, Haimen, China) were used to extract total protein from the SN-SCC cells or tissues. Protein concentration measured using BCA reagent kit (Beyotime Institute of Biotechnology). We analyzed the amount of protein by using immunoblotting method. Protein in each group (50 mg) was added into the well of polyacrylamide gel and separated by 10% SDS-PAGE and then transferred to nitrocellulose filter (NC) membrane (EMD Millipore, Billerica, MA, USA). Then, skim milk (5–10%) was used to block the membrane at room temperature for 2 h and incubated with the primary antibodies: Bcl-2 (10C4) mouse monoclonal IgG1, cat. no. sc-23960, 1:500 from Santa Cruz Biotechnology, Inc. (Dallas, TX, USA). GAPDH (D16H11) XP® Rabbit mAb; cat. no. 5174; 1:1,000; Cell Signaling Technology, Inc. (Danvers, MA, USA) followed by the secondary antibodies: Goat anti-rabbit IgG-HRP, cat. no. sc-2004; 1:2,000 and goat anti-mouse IgG-HRP; cat. no. sc-2005; 1:2,000 (both from Santa Cruz Biotechnology, Inc.). Subsequently, the membrane was detected using an ECL chemiluminescence detection kit. GAPDH served as the loading control.

Dual luciferase reporter assay

The relative luciferase ability was performed using the recombinant pMIR-REPORT luciferase vector. The wild-type and mut-type BCL-2 3′UTR were constructed downstream of pMIR-REPORT luciferase vector. We used Lipofectamine 2000 to transfect SN-SCC cells with control mimic and miR-34a mimic. The dual luciferase reporter assay system (Promega Corporation, Madison, WI, USA) was then used to measure the luciferase activity values.

Statistical analysis

All independent experiments were conducted three times. Data are presented as mean ± SD. SPSS 19.0 software (IBM Corp., Armonk, NY, USA) and GraphPad Prism 5.02 Software (GraphPad Software, Inc., La Jolla, CA, USA) were used to perform statistical analysis and complete graph presentations, respectively. One-way analysis of variance (ANOVA) was used and the post hoc test was Tukey's post hoc, to compare the differences of the groups. The correlation was analyzed by Pearson's regression analysis. P<0.05 was considered to indicate a statistically significant difference.

Results

miR-34a was overexpressed and PAQR3 was lower expressed in SN-SCC

miR-34a and BCL-2 expression in 52 paired SN-SCC tissues and normal tissues was detected by RT-PCR. As Fig. 1A and C shows, the miR-34a average expression in SN-SCC tissues was reduced markedly, while BCL-2 expression was increased obviously. We then analyzed miR-34a expression in SN-SCC cells: RPMI-2650, SCCNC2 and SCCNC7 cells. miR-34a expression was decreased in all cells while PAQR3 was increased (Fig. 1B and D), which was similar to SN-SCC tissues. Based on the results above, we further analyzed the correlation between miR-34a and PAQR3 expression, as Pearson's regression analysis showed that they were negatively correlated (Fig. 1E).

Figure 1.

Figure 1.

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Low expression of miR-34a and high expression of BCL-2 in SN-SCC. (A) Detection of miR-34a level in SN-SCC tissues by RT-PCR. (B) Detection of miR-34a level in SN-SCC cell lines RPMI-2650, SCCNC2 and SCCNC7. (C) Detection of BCL-2 level in SN-SCC tissues by RT-PCR. (D) Detection of BCL-2 level in SN-SCC cell lines RPMI-2650, SCCNC2 and SCCNC7. (E) The negative correlation of miR-34a and BCL-2 expression (r=−0.6894, P<0.001) as determined by Pearson's regression analysis. **P<0.01. BCL-2, B-cell lymphoma-2; SN-SCC, sinonasal squamous cell carcinoma.

miR-34a suppressed SN-SCC cell migration and invasion

We then investigated miR-34a effect on SN-SCC. Firstly, we overexpressed or silenced miR-34a through transfecting miR-34a mimic or inhibitor into RPMI-2650 cells. As seen in Fig. 2A, the transfection was successful. Secondly, we used Transwell assay to detect how miR-34a affected SN-SCC cell migration and invasion and found that upregulation of miR-34a inhibited SN-SCC cell migration, whereas knockdown of miR-34a had the opposite effect (Fig. 2B). Fig. 2C shows inhibitory effect of cell invasion by miR-34a mimic and promotion effect by miR-34a inhibitor in SN-SCC.

Figure 2.

Figure 2.

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Inhibition effect of miR-34a on SN-SCC cells migration and invasion. (A) miR-34a expression detected in RPMI-2650 cells by western blot analysis and RT-PCR after treated with miR-34a mimic or inhibitor. (B) Relative cell migration detected in RPMI-2650 cells after treated with miR-34a mimic or inhibitor. (C) Relative cell invasion detected in RPMI-2650 cells after treated with miR-34a mimic or inhibitor. *P<0.05, **P<0.01, ***P<0.001; #P<0.05, ##P<0.01, ###P<0.001. SN-SCC, sinonasal squamous cell carcinoma.

Silencing BCL-2 curbs the development of SN-SCC

As previous study proved that BCL-2 was overexpressed in SN-SCC, we chose to silence the expression of BCL-2 to explore the role of BCL-2 in SN-SCC. The efficiency of silencing BCL-2 is shown in Fig. 3A. Then, we examined the relative cell migration and invasion when silencing BCL-2 using Transwell assay. As the results show, BCL-2 siRNA inhibited SN-SCC cell migration and invasion (Fig. 3B and C).

Figure 3.

Figure 3.

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Inhibition effect of BCL-2 siRNA on migration and invasion of SN-SCC cells. (A) Transfection efficiency of BCL-2 siRNA detected in RPMI-2650 cells. (B) Migration of RPMI-2650 cells in con siRNA and BCL-2 siRNA group. (C) Invasion of RPMI-2650 cells in con siRNA and BCL-2 siRNA group. **P<0.01, ***P<0.001. BCL-2, B-cell lymphoma-2; SN-SCC, sinonasal squamous cell carcinoma.

BCL-2 was verified as the target of miR-34a in SN-SCC

As previous reported BCL-2 functioned as a tumor promoter and targeted by miR-34a in osteosarcoma. We suspected that miR-34a targeted BCL-2 in regulating SN-SCC. We used TargetScanHuman 7.1 to validate this prediction. The binding sites of BCL-2 and miR-34a are presented in Fig. 4A. Then, we used luciferase reporter assay to detect the luciferase ability in RPMI-2650 cells to further determine the accuracy of this prediction. The results showed that miR-106b mimic group had a significantly reduced luciferase activity compared to control group in wild-type, whereas, there was no effect in mut-type in RPMI-2650 cells (Fig. 4B). Finally, we detected whether miR-34a could affect BCL-2 expression in SN-SCC cells. As shown in Fig. 4C, miR-34a mimic decreased both miR-34a mRNA and protein level, while increased by miR-34a inhibitor in RPMI-2650 cells.

Figure 4.

Figure 4.

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Confirmation of BCL-2 as the target gene of mir-34a in SN-SCC. (A) Display of the binding site of BCL-2 and miR-34a. (B) The luciferase activities in RPMI-2650 cells transfected with BCL-2-3′-UTR-wild (WT) or BCL-2-3′-UTR- mutant (Mut). (C) Relative BCL-2 mRNA and protein expression using RT-PCR and western blot analysis in RPMI-2650 cells. **P<0.01; ***P<0.001; ###P<0.001. BCL-2, B-cell lymphoma-2; SN-SCC, sinonasal squamous cell carcinoma.

BCL-2 reverses the inhibitory effect of miR-34a in SN-SCC

We explored whether BCL-2 could affect the miR-34a on SN-SCC cell migration and invasion. We divided the cells into three groups: Control, miR-34a mimic and miR-34a mimic + BCL-2 vector. As the results show, the migrated cells of RPMI-2650 were increased when co-overexpression of both BCL-2 and miR-34a compared with the cells overexpressied with miR-34a alone (Fig. 5A). Also, the same effect of the invasive cells of RPMI-2650 was found (Fig. 5B). These data indicated that BCL-2 could reverse the inhibitory effect of miR-34a in regulating SN-SCC cell invasion and migration.

Figure 5.

Figure 5.

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The inhibition effect of miR-34a in SN-SCC reversed by BCL-2. (A) Comparison of the migration of RPMI-2650 cells after overexpression of miR-34a alone or both miR-34a and BCL-2. (B) Comparison of the invasion of RPMI-2650 cell overexpression of miR-34a alone or both miR-34a and BCL-2. **P<0.01, ***P<0.001; ##P<0.01. SN-SCC, sinonasal squamous cell carcinoma; BCL-2, B-cell lymphoma-2.

Discussion

SN-SCC is a common malignant tumor. The occurrence and progression of SN-SCC are not only related to abnormal proliferation of cells, but are also associated with the abnormal apoptosis.

miR-34a was proved to express abnormally in multiple cancers and to act as a tumor inhibitor (26). Increasing evidence stated that miR-34a had an inhibitory effect on tumor progression, such as inhibiting medulloblastoma cell proliferation and promoting cell apoptosis. Moreover, it had the same effect on gastric cancer (27), prostate cancer (28), hepatocellular carcinoma cells (29), head and neck squamous cell carcinoma (30), laryngeal squamous cell carcinoma (31). Our study showed a decreased expression of miR-34a in SN-SCC and inhibited cell migratory and invasive ability, which is consistent with a previous study that miR-34a expression was lower in SN-SCC and associated with the poor prognosis of patients (18).

BCL-2 acted as an apoptosis factor and was proven to take part in regulating some cancers targeted by miR-34a. It was reported by Wen et al that miR-34a inhibited osteosarcoma cell invasion and migration via targeting BCL-2 and C-IAP2 (32), which is similar to the study that miR-34a suppressed the viability and migration of breast cancer by inhibiting BCL-2 (33). Wang et al showed that miR-34a mimic curbed cell viability and facilitated the apoptosis of cervical cancer cell through targeting BCL-2 (15). In our study, we found that miR-34a curbed SN-SCC cell migratory and invasive ability by targeting BCL-2.

In conclusion, miR-34a expression was lower while BCL-2 was higher in SN-SCC and their correlation was negative. We proved for the first time that BCL-2 was a direct target of miR-34a in regulating the progress of SN-SCC and BCL-2 could attenuate miR-34a inhibition effect on SN-SCC, indicating that miR-34a/BCL-2 axis has potential application value in SN-SCC diagnosis and therapy.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

Authors' contributions

YZ designed this study and collected the data. YZ and XW performed the experiments and interpreted the results. XW wrote and finalized the manuscript. Both authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the Ethics Committee of Linyi People's Hospital (Linyi, China). Patients who participated in this research had complete clinical data. Signed written informed consents were obtained from the patients or guardians.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

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