Open Access

Silencing of BRF2 inhibits the growth and metastasis of lung cancer cells

  • Authors:
    • Yuan Bian
    • Qiu Li
    • Qiaolian Li
    • Ruigen Pan
  • View Affiliations

  • Published online on: June 26, 2020     https://doi.org/10.3892/mmr.2020.11285
  • Pages: 1767-1774
  • Copyright: © Bian et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Transcription factor II B (TFIIB)‑related factor 2 (BRF2) is involved in the development of cancer, but its role in lung cancer is underreported. The present study aimed to explore the role of BRF2 in the regulation of lung cancer cells. Immunofluorescence staining and immunohistochemistry were performed to detect BRF2 protein expression in human lung cancer cells and tissues. Following cell transfection with small interfering RNA for silencing BRF2, the cell proliferation was examined by Cell Counting Kit‑8 and MTT assays. Cell apoptosis, migration and invasion were determined by flow cytometry, wound‑healing and Transwell assay. The expression levels of Akt, phosphorylated (p)‑Akt, Bax, E‑cadherin, Bcl‑2, N‑cadherin, Snail and epidermal growth factor receptor (EGFR) in human lung cancer A549 cells were detected by western blotting. The results demonstrated that BRF2 expression was increased in human lung cancer cells and tissues, and that silencing of BRF2 promoted cell apoptosis but inhibited cell proliferation and migration. The protein expression levels of Akt, E‑cadherin, p‑Akt, Bcl‑2, N‑cadherin, Snail and EGFR in A549 cells were inhibited by silencing of BRF2, while expression levels of Bax and E‑cadherin were increased by silencing BRF2. In conclusion, BRF2 demonstrates high expression in lung cancer and silencing of BRF2 inhibits the growth and metastasis of lung cancer cells. The current findings provide a novel approach for the treatment of lung cancer.

Introduction

Lung cancer is an aggressive malignant tumor with poor therapeutic outcomes (1). Patients with non-small cell lung cancer (NSCLC) account for the majority of lung cancer cases and the incidence of NSCLC is increasing annually (24). Thus, developing effective and novel biomarkers and targets for lung cancer diagnosis and therapy is urgent.

Transcription factor II B (TFIIB)-related factor 2 (BRF2) is a gene located on chromosome 8p12 (5). As a subunit, BRF2 protein, which is located on TFIIB and participates in small RNA production, is catalyzed under RNA polymerase III (pol III) (69). During cell cycle, the transcription of RNA pol III is regulated to ensure normal cellular growth (10,11). Previous studies reported that RNA pol III activity plays a key role in the deregulation of a variety of cancers, regardless of tissue types (12,13). Deregulation of TFIIIB-mediated transcription is an important factor in tumor development (14). In addition, TBP expression is found increased in a large number of cancers including in human kidney, colon, melanoma, and gastric cancers (15,16).

BRF2 has a pivotal role in proliferation, metastasis, angiogenesis, and tumorigenesis by acting as an oncogene (2). In addition, overexpression of BRF2 is associated with a higher risk of cancer recurrence (5,17). Lockwood et al (18) demonstrated that genetic activation of BRF2 is a special mechanism of squamous cell carcinoma tumorigenesis, and this finding is the first clinical evidence to suggest that BRF2 is a novel oncogene in lung cancer. Previous studies suggest that BRF2 expression is increased in breast cancers, suggesting that it is potentially a candidate oncogene (19,20). However, the mechanism of action of BRF2 still remains to be elucidated, especially the relationship between BRF2 and lung cancer.

By using immunofluorescence staining and immunohistochemistry methods, the present study detected BRF2 protein expression levels in lung cancer tissues, and analyzed the function of the BRF2 gene in the metastasis of lung cancer cells.

Materials and methods

Clinical samples

The clinical samples of lung cancer tissue and paired normal adjacent tissues were collected from lung cancer patients at Zhuji Affiliated Hospital of Shaoxing University in 2019 for treatment. A total of 72 patients with lung cancer (age, 35–70 years) were enrolled between December 2018 and December 2019. The male to female ratio was 3:1. Patients were divided into three groups according to the age of onset as follows: Group 1, 35–50; group 2, 50–62; group 3, 62–70. Cancer and normal adjacent tissues of all patients were obtained and used to detect the gene expression level of BRF2 in the tissues. The patients had no history of chemotherapy and did not have other types of cancer, infectious diseases, or autoimmune diseases. All patients signed informed consent and agreed that their tissues would be used for clinical research. The study was approved by the Ethics Committee of Zhuji Affiliated Hospital of Shaoxing University (approval no. ZLK20181124). All clinical samples were obtained at the time of initial resection, and stored at −80°C.

Bioinformatics analysis

BRF2 mRNA expression levels in lung cancer and normal tissues were compared using a bioinformatics website (gepia.cancer-pku.cn).

Cell culture

Normal human lung epithelial cells (BEAS-2B; cat. no. CRL-9609) and human lung cancer cells (A549, cat. no. CCL-185; H292, cat. no. CRL-1848) were purchased from the American Type Culture Collection. The cells were cultured in Dulbecco's modified Eagle's medium (DMEM, Sigma-Aldrich; Merck KGaA) supplemented with 10% fetal bovine serum (FBS, Thermo Fisher Scientific, Inc.), 100 U/ml penicillin and 100 µg/ml streptomycin at 37°C in 5% CO2.

Immunofluorescence staining

The cells (2×104/ml) were grown on coverslips and after the liquid had been aspirated, the cells were covered 2–3 mm under 4% formaldehyde diluted in warm phosphate-buffered saline (PBS) to be fixed for 15 min at room temperature. Following removal of the fixative, the cells were rinsed in PBS with for 5 min. Then the cells were blocked with immunostaining blocking buffer (cat. no. P0102; Beyotime Institute of Biotechnology) at 37°C for 60 min, after aspirating the solution, primary antibody anti-BRF2 antibody (mouse, cat. no. ab194442, 1:500, Abcam) was added to the cells. Next, the cells were incubated overnight at 4°C. The cells were rinsed 3 times in PBS for 5 min at room temperature in the dark, and then incubated with fluorochrome-conjugated secondary antibody [horseradish peroxidase (HRP)-conjugated goat anti-mouse IgG H&L (1:100; cat. no. ab6789; Abcam)] at 37°C for 1 h. DAPI (cat. no. D1306, Thermo Fisher Scientific, Inc.) was added to the cells and incubated together for 5 min in the dark. Following aspiration of the liquid, the cells were observed under a fluorescence microscope (magnification, ×200; cat. no. BX43; Olympus Corporation).

Immunohistochemistry

Following fixation in 4% formaldehyde at 25°C for 24 h, the tissues were dehydrated and made transparent by gradient alcohol, then paraffin-embedded, and sectioned (section thickness, 5 µm). The sections were soaked in citrate buffer solution (pH 6.0) and heated in a 850 W power microwave oven for 10 min to conduct antigen repair. The endogenous peroxidase enzyme activity was minimized by rinsing the sections in 3% H2O2 in methanol for 20 min at room temperature. Then, the tissues were incubated with primary rabbit anti-BRF2 polyclonal antibody (1:400, cat. no. ab194442, Abcam) at 4°C overnight. Next the sections were incubated with secondary antibody [HRP-conjugated goat anti-rabbit immunoglobulin (IgG) H&L (1:2,000; cat. no. ab150113; Abcam) and streptavidin-peroxidase complex for 30 min at 37°C. The sections were stained with hematoxylin, dried in an oven at 65°C, rinsed in water, then mixed with alcohol and xylene and naturally dried. Finally, the sections were sealed and observed under an optical microscope (magnification, ×100; BX53M, Olympus Corporation).

Cell transfection

BRF2 small interfering (si)RNA (cat. no. 11968S, Cell Signaling Technology, Inc.) was transfected into the A549 cells using Lipofectamine® 2000 Transfection reagent (Invitrogen; Thermo Fisher Scientific, Inc.). A549 cells were seeded into 6-well plates at 1×105 cells per well and incubated at 37°C for 24 h. Then 1.5 ml medium without serum or antibiotics was added into each well of the plate, with the mixture of 100 pmol BRF2 siRNA and Lipofectamine® 2000 to incubate for 4–6 h at 37°C with 5% CO2. The siRNA sequences were as follows: BRF2 siRNA sense, 5′-GGUGGGAAAUAAUUCCUUATT-3′; si-negative control (siNC) sense, 5′-UUCUCCGAACGUGUCACGUTT-3′. After 72 h of transfection, the cells were collected for later analysis.

Reverse transcription-quantitative (RT-q)PCR

Total RNAs were extracted from tissues or cells (2×104/ml) by TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocols. Total RNAs were placed in a refrigerator at 4°C, and quantified by a biological spectrometer (Nano Drop 2000C; Thermo Fisher Scientific, Inc.). The extracted RNAs were reverse-transcribed to cDNA using a Prime Script RT reagent kit (Takara Bio, Inc.) according to the manufacturer's instructions. The results were normalized to β-actin. Next, SYBR® Green PCR Master Mix (cat. no. 4312704, Applied Biosystems, Thermo Fisher Scientific, Inc.) and Bio-Rad CFX 96 Touch Real-Time PCR Detection system (cat. no. 1855196, Bio-Rad Laboratories, Inc.) were used for RT-qPCR, according to the manufacturer's instructions. The thermocycling conditions were as follows: 95°C for 5 min, 40 cycles of 95°C for 15 sec, 60°C for 30 sec and 70°C for 10 sec. The primers for β-actin and BRF2 were: β-actin forward, 5′-ATTGGCAATGAGCGGTTC-3′ and reverse: 5′-GGATGCCACAGGACTCCA-3′; BRF2 forward, 5′-CACAGGGGAAAACGAACAAG-3′ and reverse, 5′-TCGACAAAGGTCTCTCACTCG-3′. The gene expression was calculated by the 2−ΔΔCq method (21). Each experiment was performed 3 times.

Western blotting

Following transfection for 48 h, A549 cells were collected for western blot analysis as previously described (22). Total proteins were extracted from the cells by RIPA lysis buffer (Thermo Fisher Scientific, Inc.), and protein concentration was determined by bicinchoninic protein assay kit (Sigma-Aldrich; Merck KGaA). The proteins (10 µg) were separated by 10% SDS-PAGE (cat. no. P0012A, Beyotime Institute of Biotechnology) and transferred onto polyvinylidene fluoride membranes (cat. no. FFP28, Beyotime Institute of Biotechnology), which were blocked with 5% fat-free milk for 1 h at room temperature. The membranes were then incubated overnight at 4°C with the primary antibodies: anti-Akt antibody (rabbit, cat. no. ab8805, 1:500, Abcam), anti-p-Akt antibody (rabbit, cat. no. ab38449, 1:500, Abcam), anti-Bax antibody (rabbit, cat. no. ab32503, 1:1,000, Abcam), anti-Bcl-2 antibody (rabbit, cat. no. ab59348, 1:500, Abcam), anti- E-cadherin antibody (rabbit, cat. no. ab40772, 1:1,000, Abcam), anti-N-cadherin (rabbit, cat. no. ab18203, 1 µg/ml, Abcam), anti-Snail antibody (rabbit, cat. no. ab229701, 1:1,000, Abcam), anti-EGFR antibody (rabbit, cat. no. ab52849, 1:1,000, Abcam) and anti-β-actin antibody (mouse, cat. no. ab8226, 1:500, Abcam). β-actin served as an internal reference. The membranes were then incubated with secondary HRP-conjugated antibodies [goat anti-rabbit IgG H&L (HRP) (1:2,000; cat. no. ab150113; Abcam) and goat anti-mouse IgG H&L (HRP) (1:2,000; cat. no. ab6789; Abcam] at 37°C for 1 h and washed 3 times with 0.9% TBST. The protein bands were developed by an enhanced chemiluminescence (ECL) kit (Millipore), and the grey values of the strips were calculated by ImageJ (version 5.0; National Institutes of Health) (23).

MTT assay

The A549 cells were incubated in 96-well plates at a density of 5×103 cells/well. Following transfection, the cells were cultured for 48 h with 5% CO2 at 37°C. Next, 20 µl MTT (Promega Corp.) was added to each well. The formazan products were dissolved in 100 µl dimethylsulfoxide (DMSO), and the absorbance was detected at 540 nm using a microplate reader (PR3100 TSC, Bio-Rad Laboratories, Inc.). The cells were subjected to a multifunctional enzyme-linked analyzer (Attune NxT; Thermo Fisher Scientific, Inc.) for 4 h, and the absorbance value of each hole was measured at 490 nm.

Cell Counting Kit- 8 (CCK-8)

The cells (5×103 cells/well) from the different treatment groups were seeded in a 96-well plate, and cultured in an incubator with 5% CO2 at 37°C for 48 h. Next, 100 µl CCK-8 and serum-free basic medium (DMEM; Thermo Fisher Scientific, Inc.) were mixed at a 1:10 ratio and added to a cell culture plate and cultured for 4 h. Finally, the absorbance at 450 nm wavelength was determined using a microplate reader (RNE90002, Reagen Biology LLC).

Apoptosis assay

Following transfection, the A549 cells were washed with cold PBS twice. Annexin V/Dead Cell Apoptosis kit (cat. no. V13242, Thermo Fisher Scientific, Inc.) was used to identify apoptotic cells. Briefly, the cells were re-suspended in Annexin V binding buffer, added with Annexin V-FITC and propidium iodide (PI) buffer, and incubated at room temperature for 15 min in the dark. Cell apoptosis was analyzed using a flow cytometer (FACSCalibur™; version 2.0; BD Biosciences).

Wound-healing assay

Following transfection, the cells were subcultured in plates at a density of 1×105 cells/well and incubated in serum without FBS at 37°C for 24 h. The wounds were created using a 200-µl yellow sterile pipette tip on the monolayer, and detached cells were removed by washing the cells 3 times. The healing process was observed under a 600 Autobiochemical Analyzer (Olympus Corporation), and ImageJ software (Image Pro Plus; version 6.0; National Institutes of Health) was used to calculate the average distance between cells.

Transwell invation assay

Matrigel (BD Biosciences) diluted at a 1:8 ratio was used to cover the upper surface of the membrane of the bottom of Transwell chambers, and the chambers were incubated at 37°C for 30 min in order to polymerize the Matrigel into gel. The cells were resuspended in the upper chambers of the Transwell (8-µm pore size, Corning Inc.), which contained serum-free DMEM medium, while the lower chambers were supplemented with DMEM containing 10% FBS. The Transwell chambers were all incubated for 48 h. Next, the cells remaining in the upper chamber were gently removed using a cotton swab, while the invaded cells were fixed in 4% paraformaldehyde for 15 min and stained by 0.1% crystal violet staining at 37°C for 20 min. The cells were randomly counted under an inverted microscope (Eclipse Ti2, Nikon Corporation) and images were captured.

Statistical analysis

All data were statistically analyzed by SPSS version 18.0 (SPSS, Inc.). The data are presented as means ± standard deviation, and all experiments were repeated 3 times. Two-group comparisons were conducted by the Student's t-test, and multi-group comparisons were conducted by one-way analysis of variance (ANOVA) followed by Dunnett's post hoc test. P<0.05 was considered to indicate a statistically significant difference.

Results

BRF2 expression levels are increased in lung cancer tissues and cells

To investigate whether BRF2 is involved in tumor migration and invasion, its protein expression in normal human lung epithelial BEAS-2B cells and lung cancer cells A549 and H292 were detected by immunofluorescence staining. As shown in Fig. 1A, marker protein BRF2 was positively expressed in A549 and H292 cells, especially in the A549 cells, while in BEAS-2B cells, marker protein BRF2 demonstrated a low expression. Meanwhile, BRF2 expression was detected by western blotting, as shown in Fig. 1B and C; BRF2 expression was significantly increased in A549 and H292 cells compared to that noted in the BEAS-2B cells. In addition, according to Fig. 1D, BRF2 protein staining was detected in cancer tissues by immunohistochemistry; however, BRF2 was barely observed in normal lung tissues. As shown in Fig. 1E, the BRF2 mRNA expression levels in lung cancer tissues and normal tissues were compared using a bioinformatics website (gepia.cancer-pku.cn), and the result demonstrated that the BRF2 mRNA expression level in the tumor tissues was notably higher compared with normal tissues. The BRF2 mRNA expression in lung cancer A549 and H292 cells and normal lung epithelial BEAS-2B cells was detected by RT-qPCR. Relative BRF2 mRNA expression level was the highest in A549 cells (Fig. 1F, P<0.001) and its protein expression was also high in H292 cells, while the mRNA expression level of BRF2 in BEAS-2B cells was low. In addition, normal adjacent and cancer tissues were divided into groups 1–3. Relative BRF2 mRNA expression level in lung cancer cells was clearly higher than normal cells (Fig. 1G, P<0.001).

Knockdown of BRF2 inhibits the proliferation of A549 cells

To explore the role of BRF2 in lung cancer cells, A549 cells were transfected with siRNA for silencing BRF2. As shown in Fig. 2A, 48 h after BRF2 siRNA transfection, the result of RT-qPCR demonstrated that the relative mRNA expression level of BRF2 in A549 cells was significantly lower than that in the siNC group (P<0.001). The result of western blotting (Fig. 2B) demonstrated that the relative protein expression level of BRF2 was significantly inhibited (P<0.001 vs. siNC). In addition, the results of the CCK-8 and MTT assays demonstrated that after transfection for 48 h the relative cell viability of A549 cells in the siRNA group was significantly inhibited compared with the siNC group (Fig. 2C and D, **P<0.01).

Knockdown of BRF2 promotes apoptosis and inhibits cell migration and invasion of A549 cells

Following transfection, the effects of siRNA on cell apoptosis and migration were assessed. As shown in Fig. 3A, flow cytometry demonstrated that the rate of apoptosis of the siRNA group was significantly higher compared with that noted in the siNC group (Fig. 3A, P<0.001). Meanwhile, cell migration and invasion were detected by wound-healing and Transwell assays. As shown in Fig. 3B, it was observed that the relative migration rate of the siRNA group was significantly lower than that noted in the siNC group (Fig. 3B, P<0.01). Furthermore, the result of Fig. 3C revealed that invasion of A549 cells transfected with BRF2 siRNA was significantly reduced (Fig. 3C, P<0.001).

Knockdown of BRF2 inhibits the protein expression levels of Akt, p-Akt, Bcl-2, N-cadherin, Snail and EGFR and increases those of Bax and E-cadherin

The western blot analysis (Fig. 4A and B) revealed that following transfection of BRF2 siRNA, relative protein expression levels of Akt (P<0.01 vs. siNC), p-Akt (P<0.001 vs. siNC) and Bcl-2 (P<0.01 vs. siNC) were suppressed, while relative protein expression level of Bax was significantly promoted. Furthermore, as demonstrated in Fig. 4C, relative protein expression levels of N-cadherin (P<0.01 vs. siNC), Snail (P<0.01 vs. siNC) and EGFR (P<0.001 vs. siNC) were significantly inhibited. Notably, protein expression of E-cadherin (P<0.01 vs. siNC) was significantly promoted following transfection of BRF2 siRNA. In addition, the results further confirmed that BRF2 siRNA suppressed phosphorylation of Akt (Fig. 4D, P<0.001 vs. siNC).

Discussion

Lung cancer accounts for a large proportion of cancer-related deaths (24). Although diagnostic and therapeutic techniques have been improved, treatment results are far from satisfactory (25,26). Therefore, it is crucial to improve current understanding on tumor pathogenesis, gene expression profiles and tumor biology (27).

Melchor et al (28) observed increased transcription factor II B (TFIIB)-related factor 2 (BRF2) gene expression in breast cancer, and that BRF2 gene expression products are significantly higher in breast cancer tissues compared normal breast tissues. Furthermore, they identified a correlation between BRF2 overexpression and clinical outcomes (29). It has been shown that ~40% of lung squamous cell carcinoma is closely related to the local amplification of chromosome 8p12 through comparative genomic hybridization (29). During the invasion stage of lung squamous cell carcinoma, the oncogene BRF is frequently activated (30). These findings indicate that BRF2 protein has an active expression in various tumors and is closely related to invasion and migration of various tumors. The present study found that BRF2 expression was increased in lung cancer cells compared with that in normal adjacent tissues.

miR-4299 is a key molecule of the cell survival pathway PI3K/Akt; the study of Yang et al (31) found that miR-4299 suppresses the progression of non-small lung cancer (NSCLC) by modulating the activation of the PTEN/AKT/PI3K signaling pathway; thus, it may serve as an independent candidate marker for prognosis of NSCLC patients. Croton tiglium extract can elevate expression of Bax genes and reduce expression of Bcl-2 genes to induce A549 cell apoptosis (32). In addition, the physiological function of EGFR is to regulate epithelial tissue development and homeostasis (33). In pathological settings, mostly in lung and breast cancers and glioblastoma, EGFR is a driver of tumorigenesis (33). In the present study, following cell transfection with BRF2 siRNA, the protein expression levels of Akt, p-Akt, Bcl-2 and EGFR in A549 cells were inhibited, while Bax protein expression was increased, suggesting that silencing of BRF2 inhibited the activation of cell survival pathway PI3K/Akt, and promoted the activation of cell apoptosis.

Farmakovskaya et al (34) demonstrated that suppression of E-cadherin expression increases cancer stem cells in human A549 lung adenocarcinoma and stimulates tumor growth. In addition, N-cadherin induces cell survival, migration, and invasion by modulating intracellular signaling molecules. As shown by Quintanal-Villalonga et al (35), the FGFR4-388arg variant promotes lung cancer progression through N-cadherin induction. Reducing miR-22 expression promotes epithelial-mesenchymal transition (EMT) and invasion of lung cancer cells by elevating Snail expression (36). According to the results of western blot analysis in the present study, transfection of BRF2 siRNA into A549 cells increased E-cadherin expression but reduced N-cadherin expression.

Consistent with a previous study (37), in the present study silencing of BRF2 protein expression reduced the migration and invasion of NSCLC, suggesting that BRF2 expression plays an important role in invasiveness of NSCLC cells, possibly through EMT, which involves increased Snail expression and abnormal expression of E-cadherin and N-cadherin. Furthermore, Gouge et al (38) found that BRF2 redox-dependent regulation constitutes a cellular blockade, which is capable of generating pro-apoptotic signals upon prolonged oxidative stress in lung and breast cancers by limiting the availability of SeCys tRNA. Wang et al (2) suggested that miR-373 may function as a tumor suppressor in NSCLC by attenuating the expression of BRF2 to inhibit proliferation. These above findings are in line with the results of the current study, in which the knockdown of BRF2 inhibited A549 cell migration and invasion, suppressed A549 cell proliferation, and enhanced apoptosis of A549 cells. It should be noted that the present study did not assess the findings in vivo in animal experiments and that the results should be verified in more cell lines. In addition, the mechanism of BRF2 remains to be further elucidated.

The findings of the present study revealed that BRF2 protein plays an important role in lung cancer cells and supports the hypothesis that BRF2 protein could serve as a novel target for lung cancer therapy. However, the role of BRF2 in the occurrence and development of lung cancer should be further verified. Thus, in future research, the effect of BRF2 on tumors in vivo should be explored by establishing animal models of lung cancer.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The analyzed data sets generated during the study are available from the corresponding author on reasonable request.

Authors' contributions

YB made substantial contributions to conception and design. QiuL, QiaL and RP were responsible for data acquisition, data analysis and interpretation. YB drafted the article and critically revising it for important intellectual content. All authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of the work are appropriately investigated and resolved. All authors reviewed and approved the final manuscript.

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.

References

1 

Liu H, Han L, Liu Z and Gao N: Long noncoding RNA MNX1-AS1 contributes to lung cancer progression through the miR-527/BRF2 pathway. J Cell Physiol. 234:13843–13850. 2019. View Article : Google Scholar : PubMed/NCBI

2 

Wang L, Qu J, Zhou L, Liao F and Wang J: MicroRNA-373 Inhibits Cell Proliferation and Invasion via Targeting BRF2 in Human Non-small Cell Lung Cancer A549 Cell Line. Cancer Res Treat. 50:936–949. 2018. View Article : Google Scholar : PubMed/NCBI

3 

Lu J and Han B: Liquid Biopsy Promotes Non-Small Cell Lung Cancer Precision Therapy. Technol Cancer Res Treat. 17:15330338188018092018. View Article : Google Scholar : PubMed/NCBI

4 

Collins LG, Haines C, Perkel R and Enck RE: Lung cancer: Diagnosis and management. Am Fam Physician. 75:56–63. 2007.PubMed/NCBI

5 

Tian Y, Wang C and Lu M: BRF2 as a promising indicator for radical lymph-node dissection surgery in patients with cN0 squamous cell carcinoma of the middle thoracic esophagus. Surg Today. 49:158–169. 2019. View Article : Google Scholar : PubMed/NCBI

6 

Verma N, Hurlburt AM, Wolfe A, Kim MK, Kang YS, Kang JJ and Stumph WE: Bdp1 interacts with SNAPc bound to a U6, but not U1, snRNA gene promoter element to establish a stable protein-DNA complex. FEBS Lett. 592:2489–2498. 2018. View Article : Google Scholar : PubMed/NCBI

7 

McQueen C, Hughes GL and Pownall ME: Skeletal muscle differentiation drives a dramatic downregulation of RNA polymerase III activity and differential expression of Polr3g isoforms. Dev Biol. 454:74–84. 2019. View Article : Google Scholar : PubMed/NCBI

8 

Geiduschek EP and Kassavetis GA: The RNA polymerase III transcription apparatus. J Mol Biol. 310:1–26. 2001. View Article : Google Scholar : PubMed/NCBI

9 

Saxena A, Ma B, Schramm L and Hernandez N: Structure-function analysis of the human TFIIB-related factor II protein reveals an essential role for the C-terminal domain in RNA polymerase III transcription. Mol Cell Biol. 25:9406–9418. 2005. View Article : Google Scholar : PubMed/NCBI

10 

Song W, Filonov GS, Kim H, Hirsch M, Li X, Moon JD and Jaffrey SR: Imaging RNA polymerase III transcription using a photostable RNA-fluorophore complex. Nat Chem Biol. 13:1187–1194. 2017. View Article : Google Scholar : PubMed/NCBI

11 

Scott PH, Cairns CA, Sutcliffe JE, Alzuherri HM, McLees A, Winter AG and White RJ: Regulation of RNA polymerase III transcription during cell cycle entry. J Biol Chem. 276:1005–1014. 2001. View Article : Google Scholar : PubMed/NCBI

12 

Lei J, Chen S and Zhong S: Abnormal expression of TFIIIB subunits and RNA Pol III genes is associated with hepatocellular carcinoma. Liver Res. 1:112–120. 2017. View Article : Google Scholar : PubMed/NCBI

13 

White RJ: RNA polymerase III transcription - a battleground for tumour suppressors and oncogenes. Eur J Cancer. 40:21–27. 2004. View Article : Google Scholar : PubMed/NCBI

14 

Cabarcas S, Jacob J, Veras I and Schramm L: Differential expression of the TFIIIB subunits Brf1 and Brf2 in cancer cells. BMC Mol Biol. 9:742008. View Article : Google Scholar : PubMed/NCBI

15 

Johnson SA, Dubeau L, Kawalek M, Dervan A, Schönthal AH, Dang CV and Johnson DL: Increased expression of TATA-binding protein, the central transcription factor, can contribute to oncogenesis. Mol Cell Biol. 23:3043–3051. 2003. View Article : Google Scholar : PubMed/NCBI

16 

Srihari S, Kalimutho M, Lal S, Singla J, Patel D, Simpson PT, Khanna KK and Ragan MA: Understanding the functional impact of copy number alterations in breast cancer using a network modeling approach. Mol Biosyst. 12:963–972. 2016. View Article : Google Scholar : PubMed/NCBI

17 

Ng CK, Martelotto LG, Gauthier A, Wen HC, Piscuoglio S, Lim RS, Cowell CF, Wilkerson PM, Wai P, Rodrigues DN, et al: Intra-tumor genetic heterogeneity and alternative driver genetic alterations in breast cancers with heterogeneous HER2 gene amplification. Genome Biol. 16:1072015. View Article : Google Scholar : PubMed/NCBI

18 

Lockwood WW, Chari R, Coe BP, Thu KL, Garnis C, Malloff CA, Campbell J, Williams AC, Hwang D, Zhu CQ, et al: Integrative genomic analyses identify BRF2 as a novel lineage-specific oncogene in lung squamous cell carcinoma. PLoS Med. 7:e10003152010. View Article : Google Scholar : PubMed/NCBI

19 

Almanza A, Carlesso A, Chintha C, Creedican S, Doultsinos D, Leuzzi B, Luís A, McCarthy N, Montibeller L, More S, et al: Endoplasmic reticulum stress signalling - from basic mechanisms to clinical applications. FEBS J. 286:241–278. 2019. View Article : Google Scholar : PubMed/NCBI

20 

Garcia MJ, Pole JC, Chin SF, Teschendorff A, Naderi A, Ozdag H, Vias M, Kranjac T, Subkhankulova T, Paish C, et al: A 1 Mb minimal amplicon at 8p11-12 in breast cancer identifies new candidate oncogenes. Oncogene. 24:5235–5245. 2005. View Article : Google Scholar : PubMed/NCBI

21 

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

22 

Guo Q, Li H, Liu J, Xu L, Yang L, Sun Z and Zhou B: Tunicamycin aggravates endoplasmic reticulum stress and airway inflammation via PERK-ATF4-CHOP signaling in a murine model of neutrophilic asthma. J Asthma. 54:125–133. 2017. View Article : Google Scholar : PubMed/NCBI

23 

Jin J, Zhao L, Zou W, Shen W, Zhang H and He Q: Activation of Cyclooxygenase-2 by ATF4 During Endoplasmic Reticulum Stress Regulates Kidney Podocyte Autophagy Induced by Lupus Nephritis. Cell Physiol Biochem. 48:753–764. 2018. View Article : Google Scholar : PubMed/NCBI

24 

Thawani R, McLane M, Beig N, Ghose S, Prasanna P, Velcheti V and Madabhushi A: Radiomics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer. 115:34–41. 2018. View Article : Google Scholar : PubMed/NCBI

25 

Hirsch FR, Scagliotti GV, Mulshine JL, Kwon R, Curran WJ Jr, Wu YL and Paz-Ares L: Lung cancer: Current therapies and new targeted treatments. Lancet. 389:299–311. 2017. View Article : Google Scholar : PubMed/NCBI

26 

Herbst RS, Heymach JV and Lippman SM: Lung cancer. N Engl J Med. 359:1367–1380. 2008. View Article : Google Scholar : PubMed/NCBI

27 

Hashemi ZS, Khalili S, Forouzandeh Moghadam M and Sadroddiny E: Lung cancer and miRNAs: A possible remedy for anti-metastatic, therapeutic and diagnostic applications. Expert Rev Respir Med. 11:147–157. 2017. View Article : Google Scholar : PubMed/NCBI

28 

Melchor L, Garcia MJ, Honrado E, Pole JC, Alvarez S, Edwards PA, Caldas C, Brenton JD and Benítez J: Genomic analysis of the 8p11-12 amplicon in familial breast cancer. Int J Cancer. 120:714–717. 2007. View Article : Google Scholar : PubMed/NCBI

29 

Cabarcas S and Schramm L: RNA polymerase III transcription in cancer: The BRF2 connection. Mol Cancer. 10:472011. View Article : Google Scholar : PubMed/NCBI

30 

Rosenwald IB: The role of translation in neoplastic transformation from a pathologist's point of view. Oncogene. 23:3230–3247. 2004. View Article : Google Scholar : PubMed/NCBI

31 

Yang WB, Zhang WP, Shi JL and Wang JW: miR-4299 suppresses non-small cell lung cancer cell proliferation, migration and invasion through modulating PTEN/AKT/PI3K pathway. Eur Rev Med Pharmacol Sci. 22:3408–3414. 2018.PubMed/NCBI

32 

Khodapasand E, Jafarzadeh N, Farrokhi F, Kamalidehghan B and Houshmand M: Is Bax/Bcl-2 ratio considered as a prognostic marker with age and tumor location in colorectal cancer? Iran Biomed J. 19:69–75. 2015.PubMed/NCBI

33 

Sigismund S, Avanzato D and Lanzetti L: Emerging functions of the EGFR in cancer. Mol Oncol. 12:3–20. 2018. View Article : Google Scholar : PubMed/NCBI

34 

Farmakovskaya M, Khromova N, Rybko V, Dugina V, Kopnin B and Kopnin P: E-Cadherin repression increases amount of cancer stem cells in human A549 lung adenocarcinoma and stimulates tumor growth. Cell Cycle. 15:1084–1092. 2016. View Article : Google Scholar : PubMed/NCBI

35 

Quintanal-Villalonga Á, Ojeda-Márquez L, Marrugal Á, Yagüe P, Ponce-Aix S, Salinas A, Carnero A, Ferrer I, Molina-Pinelo S and Paz-Ares L: The FGFR4-388arg Variant Promotes Lung Cancer Progression by N-Cadherin Induction. Sci Rep. 8:23942018. View Article : Google Scholar : PubMed/NCBI

36 

Zhang K, Li XY, Wang ZM, Han ZF and Zhao YH: miR-22 inhibits lung cancer cell EMT and invasion through targeting Snail. Eur Rev Med Pharmacol Sci. 21:3598–3604. 2017.PubMed/NCBI

37 

Tian Y, Lu M, Yue W, Li L, Li S, Gao C, Si L, Qi L, Hu W and Tian H: TFIIB-related factor 2 is associated with poor prognosis of nonsmall cell lung cancer patients through promoting tumor epithelial-mesenchymal transition. BioMed Res Int. 2014:5307862014. View Article : Google Scholar : PubMed/NCBI

38 

Gouge J, Satia K, Guthertz N, Widya M, Thompson AJ, Cousin P, Dergai O, Hernandez N and Vannini A: Redox Signaling by the RNA Polymerase III TFIIB-Related Factor Brf2. Cell. 163:1375–1387. 2015. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

September-2020
Volume 22 Issue 3

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

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Bian Y, Li Q, Li Q and Pan R: Silencing of BRF2 inhibits the growth and metastasis of lung cancer cells. Mol Med Rep 22: 1767-1774, 2020
APA
Bian, Y., Li, Q., Li, Q., & Pan, R. (2020). Silencing of BRF2 inhibits the growth and metastasis of lung cancer cells. Molecular Medicine Reports, 22, 1767-1774. https://doi.org/10.3892/mmr.2020.11285
MLA
Bian, Y., Li, Q., Li, Q., Pan, R."Silencing of BRF2 inhibits the growth and metastasis of lung cancer cells". Molecular Medicine Reports 22.3 (2020): 1767-1774.
Chicago
Bian, Y., Li, Q., Li, Q., Pan, R."Silencing of BRF2 inhibits the growth and metastasis of lung cancer cells". Molecular Medicine Reports 22, no. 3 (2020): 1767-1774. https://doi.org/10.3892/mmr.2020.11285