Demethylation of miR-495 inhibits cell proliferation, migration and promotes apoptosis by targeting STAT-3 in breast cancer

  • Authors:
    • Yi Chen
    • Donglin Luo
    • Wuguo Tian
    • Zhirong Li
    • Xiaohua Zhang
  • View Affiliations

  • Published online on: May 3, 2017     https://doi.org/10.3892/or.2017.5621
  • Pages: 3581-3589
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Abstract

In breast cancer (BC), silencing of miRNA genes due to miRNA gene promoter methylation are the important mechanisms directly contributing to tumorigenesis and tumor progression. miRNA-495 (miR-495) has been reported to be a tumor suppressor gene in various cancers, but its role and regulation in BC remains unclear. In the present study, the level of miR-495 was inversely correlated with the expression of STAT-3 in BC tissues and cell lines. miR-495 can directly target 3'-UTR of STAT-3 mRNA and thereby decrease the expression of STAT-3 in MCF-7 and HCC1973 cells by Targetscan and Dual-luciferase assay. We further analyzed miR-495 promoter methylation by sodium bisulfite sequencing method (BSP), and found DNA methyltransferase inhibitor, 5-AzaC concomitantly upregulated expression of miR-495 and downregulated its target gene STAT-3 and its downstream target VEGF. Furthermore, we further observed that 5-AzaC treatment, miR-495 mimics and STAT-3 knockdown significantly inhibited cell function in breast cancer by Transwell assay, EdU flow cytometry, Annexin V-FITC/PI combined with flow cytometry and Hoechst staining. Taken together, our data are first to demonstrate that the miR-495 is silenced due to promoter methylation in breast cancer. DNA methyltransferase inhibitor 5-AzaC could reverse miR‑495 (suppressor gene) and STAT-3 (oncogene). The anticancer properties of 5-AzaC were preliminarily confirmed in breast cancer.

Introduction

Breast cancer (BC), is the first ranked morbidity and mortality among female cancer in most countries worldwide (1) and is still rapidly increasing in developing Asian countries (2). The early diagnostic method and synthetical treatment (targeted therapies combine with chemoradiotherapy) of BC has progressed enormously, however, more than half of cancer cells will either rapidly acquire multidrug resistance after chemoradiotherapy or are intrinsically multidrug resistant (3). Anomaly epigenetic modification, including methylation of genomic or mitochondrial DNA, and acetylation or methylation of histone significantly alter gene expression, as well as microRNA (miRNA) and is associated with carcinogenesis and multi-drug resistance (MDR) of the cancer cells (47). In BC, miRNAs gene silencing due to miRNA gene promoter methylation is the important mechanism directly contributing to chemoresistance (813). For example, due to miR-27b promoter methylation, it is significantly downregulated in tamoxifen-resistant cells (MCF-7/TamR) compare with tamoxifen sensitive cells (MCF-7/TamS) and enhances tamoxifen sensitivity by suppression of HMGB3 (10). In addition, Xu et al (14) reported that super-methylation of miR-152 and miR-148a promoter is present in BC cell lines and tumor tissues compared with the immortalized breast epithelial cells and normal duct and result in BC development through re-expression of IGF-IR and IRS1.

Actually, miR-495 has previously been identified as an important miRNA modulating tumor cell function. Most research has reported that miR-495 usually acts as a tumor suppressor gene in numerous cancer cells (1523). For instance, Li et al (24) reported that hypermethylation-mediated suppression of miR-495 promotes the motility of SGC7901 and MKN28 cells by re-expressing phosphatase of regenerating liver-3. A few studies proved that abnormal expression of miR-495 is inversely associated with multi-drug resistance in non-small cell lung cancer (NSCLC) and chronic myelogenous leukemia (CML) by targeting MDR1 or ATP7A (25,26). However, it is unclear whether methylation of miR-495 promoter was involved in the regulation of miR-495, and STAT-3 was regulated by miR-495 in the human BC cells.

In this regard, the aims of the present study were: i) to determine whether the abnormalities of miR-495 (promoter hypermethylation and expression) and its target gene STAT-3 were associated with the development of BC cells by specific target gene; and ii) to determine whether DNA methyltransferase inhibitor 5-AzaC could inhibit BC cell growth by re-expression of miR-495. In this study, we demonstrated that the anticancer properties of 5-AzaC in BC cells in vitro may be considered a topic for further experimental studies based on the possibility it could be a novel strategy for cancer therapy in BC.

Materials and methods

BC cells culture and BC tissues

The human BC cell lines MCF-7 (cat. no. TCHu 74), HCC1973 (cat. no. TCHu148), the immortalized breast epithelial MCF10A (cat. no. SCSP-575), and human embryonic kidney 293T (cat. no. SCSP-502) were purchased from the Cell Bank of Chinese Academy of Sciences (Shanghai, China). The BC cells were cultured in RPMI-1640 medium (Gibco, Carlsbad, CA, USA), containing 10% fetal bovine serum (FBS; BI, cat. no. 04-001-1A) and 293T cells were maintained in 10% FBS Dulbeccos modified Eagles medium (DMEM; Gibco). All cells were cultured in a humidified atmosphere of 5% CO2 at 37°C. The human BC tissues and adjacent tissues were derived from Daping Hospital of the Third Military Medical University. None of the patients received any therapy before the operation. The tissular samples were washed with ice-cold normal saline and cryopreserved in liquid nitrogen immediately. All tissular samples were taken with informed consent and were ratified by the Ethics Committee of the hospital.

Real-time quantitative polymerase chain reaction (RT-qPCR)

Total RNA were isolated from BC tissue or cellular samples using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) and converted into cDNA by using Bestar™ qPCR RT kit (DBI Bioscience, Ludwigshafen, Germany) following the manufacturers protocol with some modification. The specific RT primers used were: miR-495, 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGCGAAAAT-3′; U6snRNA, STAT-3 or GAPDH, primer mix (oligo dT18 and random primer N6). The qPCR primers were as follows: GAPDH, forward, 5′-TGTTCGTCATGGGTGTGAAC-3′ and reverse, 5′-ATGGCATGGACTGTGGTCAT-3′; STAT-3, forward, 5′-AGAGATGTGGGAATGGGGG-3′ and reverse, 5′-CAACTGGCAAGGAGTGGGTC-3′; miR-495, forward, 5′-ACACTCCAGCTGGGGAAGTTGCCCATGTT-3′ and reverse, 5′-CTCAACTGGTGTCGTGGA-3′; U6 snRNA, forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′. Real-time quantitative PCR was performed using SYBR-Green PCR Master Mix (Bio-Rad Laboratories, Inc., Hercules, CA, USA) to measure relative STAT-3 and miR-495 levels. The PCR condition were as follows: initial denaturation, 94°C for 5 min and then 40 cycles of denaturation, 94°C for 30 sec, annealing, at 60°C for 30 sec and extension, at 72°C for 30 sec. GAPDH and U6 snRNA was used as an endogenous control for STAT-3 and miR-495 respectively. The data were analyzed using 2−ΔΔCt method.

Western blot analysis

Total protein was extracted from BC tissue or cellular samples using RIPA lysis (Beyotime Institute of Biotechnology, Beijing, China). The protein concentration was measured by the BCA kit according to the manufacturers protocol. The equal quality of cell lysate were separated by a 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and then transferred onto polyvinyl fluoride (PVDF) membranes (Bio-Rad Laboratories). The membranes were blocked with 5% skim milk in TBST (Tris-buffered saline containing 0.1% Tween-20) at room temperature for 1 h and incubated with anti-STAT-3, anti-VEGF and GAPDH rabbit antibody (Cell Signaling Technology, Danvers, MA, USA) at 4°C overnight. Then, the membranes were washed with TBST three times/5 min, and incubated with horseradish peroxidase (HRP)-conjugated goat anti-rabbit antibody (Santa Cruz Biotechnology, Santa Cruz, CA, USA) at room temperature for 1 h. After being washed, signal intensity was measured by the ECL-PLUS/kit (cat. no. RPN2132; Amersham Biosciences, Little Chalfont, UK) following the manufacturers protocol. The optical density of bonds was quantified by Quantity One software (Bio-Rad, Laboratories).

Cell transfection

miR-495 mimics and scramble miRNA (NC) were synthesized by Shanghai GenePharma, Co., Ltd. (Shanghai, China). Scramble siRNA (NC) and siRNA for STAT-3 (si-STAT-3), obtained from Santa Cruz Biotechnology miRNA or siRNA were transfected into BC cells using Lipofectamine 2000 (Invitrogen). Specifically, 50 nM of miR-495 mimics/NC or si-STAT-3/NC and 2 µl Lipofectamine 2000 were mixed in 200 µl Opti-MEM (Invitrogen) and standing 15 min at room temperature, and then added into the logarithmic phase of cells in a 6-well plate. Cells were washed twice with pre-cooled phosphate-buffered saline (PBS) and harvested at 48 h post-transfection.

Plasmid construction and Dual-luciferase reporter assay

The wild-type vector of STAT-3 3′-UTR (named as STAT-3 3′-UTR WT) was amplified from cDNA using the primers: STAT3, forward, 5′-CCGCTCGAGTGATTCTGGCTTCCTTCCTG-3′ (XhoI) and reverse, 5′-ATAAGAATGCGGCCGCCGAGGGCAGACTCAAGTTTATC-3′ (NotI). The mutated vector of STAT-3 3′-UTR was acquired using the primers: STAT3-forward-MUT: 5′-AGGTCCCTCATCCATACACAGATAGGAATCCTGGTCTC-3′ (mutation site), STAT3-reverse-MUT: 5′-GAGACCAGGATTCCTATCTGTGTATGGATGAGGGACCT-3′ (mutation site). Then the sequences were cloned into psiCHECK-2 vector. All the inserted sequences were verified by DNA sequencing (Sangon Biotech, Co., Ltd., Shanghai, China). The logarithmic phase of HEK293T cells were seeded in a 96-well plate 24 h before transfection, STAT-3 3′-UTR vector (WT or MUT) and miR-495 mimics or negative control (NC) were co-transfected into HEK293T cells using Lipofectamine 2000. After transfection for 24 h, cells were lysed mildly and collected and then luciferase (firefly and Renilla) activities were measured by fluorospectrophotometer.

5-AzaC treatment

Cells/well BC cells (5×105) (MCF-7 and HCC1973) were seeded in 6-well plates and cultured for 12 h. Then, MCF-7 and HCC1973 cells were treated with 5 µM 5-AzaC (Sigma-Aldrich, St. Louis, MO, USA) for 72 h. Treated cells were prepared for sodium bisulfite sequencing method (BSP), western blot analysis, RT-qPCR and detected the cell motility.

Sodium bisulfite sequencing method (BSP)

Human genomic DNA incubated with SssI methyltransferase (Thermo Fisher Scientific, Waltham, MA USA) was used as positive control. The genomic DNA was isolated using Biospin™ cell Genomic DNA isolation kit (Hangzhou Bioer Technology, Co., Ltd., Hangzhou, China), and then treated with EpiTect Bisulfite kit (Qiagen, Hilden, Germany) and collected the genomic DNA treated with bisulfate for DNA sequencing. miR-495 promoter fragments were amplified using Takara Taq™ Hot Start Version (Takara Bio, Dalian, China) and PCR cyclic condition: initial incubation at 95°C for 5 min; followed by 40 cycles of denaturation, at 95°C for 30 sec, annealing, 56°C for 30 sec and extension, 72°C for 30 sec; and finally extension, 72°C for 10 min. The miR-495 promoter primer sequences were designed by software oligo 7.01, and the primer sequences are: miR-495 promoter forward, 5′-TGTAGAGGGGGTAGATTTGTTAGAT-3′ and reverse, 5′-CTAAAATTACACCCAAACCAAAAC-3′.

Transwell assays

The cells treated with 5-AzaC or transfected with miR-495 mimic or siSTAT-3 in RPMI-1640 were seeded in upper chamber of 80 µl coated Matrigel matrix (Corning Costar Corp., Corning, NY, USA) for invasion assay or non-coated for migration assay and 0.6 ml of complete medium was added to the lower chamber. Non-treated cells or transfected with scrambled RNA was used as a negative control. After cultured for 24 h, cells were fixed by 4% paraformaldehyde. Cells were dyed with 0.1% crystal violet (Beyotime Institute of Biotechnology) at room temperature for 30 min and redundant crystal violet was washed with 75% alcohol for 30 sec. Cells located on upper surface of the chamber were removed, and invasive/migratory cells located on the lower surface of the chamber remained. For quantification, the migratory cells and invasive cells were counted under ×100 microscope in four random fields per well. Each experiment was repeated three times.

EdU assay

The cell proliferation rates were detected following the protocol of the Cell Light™ EdU Apollo® 488 In Vitro Imaging kit (cat. no. C00051; Guangzhou RiboBio, Co., Ltd., Guangzhou, China). The cells were treated with 5-AzaC or transfected with miR495 mimic, siSTAT-3 or NC for 48 h in 6-well plates, and then 50 µM of EdU was added into the medium. After incubation for 2 h, cells were fixed with 4% paraformaldehyde (50 µl/well) for 20 min and then incubated with glycine (2 mg/ml) for 5 min. The cells were washed with PBS twice and stained with 200 µl 1X Apollo solution at 37°C for 30 min in the dark. After washing with 0.5% Triton X-100 in PBS for 5 min, cells were analyzed by FACScan instrument (Becton-Dickinson, San Diego, CA, USA) and data were analyzed using CellQuest software.

Flow cytometry assay

Cell apoptosis was evaluated with Annexin V-FITC/PI kit (Sigma-Aldrich) and flow cytometry assay according to the manufacturers instructions. Briefly, cells were seeded in 6-well plates (1×104 cells/well) after being treated with 5-AzaC or transfected with miR-495 mimic, siSTAT-3 or NC. The cells were then washed with ice-cold PBS and were resuspended in binding buffer prior to addition with Annexin V-FITC solution and PI. After the incubation for 15 min in the dark, the apoptotic rate was determined using the flow cytometer (BD Biosciences, San Jose, CA, USA).

Hoechst staining assay

The cells were treated with 5-AzaC or transfected with miR495 mimic, siSTAT-3 or NC for 48 h in 6-well plates. The medium was removed and the cells were washed with PBS. Hoechst 33342 (1 µM) was added into PBS for 10 min at 37°C. The changes in nuclear morphology were analyzed by fluorescence microscopy.

Bioinformatic and statistical analysis

Online miRNA databases (miRBase, TargetScan, miRanda and PicTarget) were used for the prediction of miR-495 target genes and possible miRNAs regulating STAT-3. All data were analyzed by using Graphpad Prism 5.01 software (GraphPad Software, Inc., La Jolla, CA, USA). The unpaired Students t-test (two-tailed) was used to analyze the differences the two groups. All data are expressed as the mean ± SD. P<0.05, P<0.01, P<0.001.

Results

miR-495 is downregulated and STAT-3 is upregulated in the BC tissue and cell lines

To explore the conceivable relationship between miR-495 and STAT-3 in BC, the expression of miR-495 and STAT-3 in BC patient tumor and adjacent tissue was measured by RT-qPCR. The data showed that the expression of miR-495 was significantly downregulated in BC patients tissue compared with adjacent tissue (P<0.001; Fig. 1A), while STAT-3 presented overexpressed in BC tissue (P<0.01; Fig. 1B). Similar results were also observed in BC cell lines (MCF-7 and HCC1973) in comparison with the normal mammary epithelial cells (MCF10A) (P<0.001; Fig. 1C and D). Furthermore, we determined the protein level of STAT-3 in BC tissues and the cell lines using western blotting. As shown in Fig. 1E, the expression of STAT-3 was obviously upregulated in representative tumor tissues compared with the adjacent normal tissues. Consistently, the expression of STAT-3 presented higher expression in BC cell lines than that in normal epithelial cells (Fig. 1F). Preliminary findings suggest that miR-495 might inhibit the STAT-3 expression in BC tissue and cell lines.

miR-495 directly targeted the 3′-UTR of STAT-3

As known, miRNAs exert their function by affecting their target gene expression. To illuminate the regulation mechanism of STAT-3 expression by miR-495 at the post-transcriptional level, miR-495 mimic and its negative control (NC) were transfected into MCF-7 and HCC-1973 cells, respectively. The expression of STAT-3 (both mRNA and protein level) was significantly lower in miR-495 mimic transfected cells than NC group and parental cells (Fig. 2A-C). To find the possible target genes of miR-495 and possible miRNAs inhibiting STAT-3 expression, we predicted it using bioinformatics analysis (Fig. 2D). To verify the prediction, a luciferase reporter assay was performed in HEK293T cells. The fluorescence intensity was significantly decreased after con-transfection with psiCHECK-2/STAT-3 3′-UTR-WT reporter plasmid and miR-495 mimic in comparison with control cells (Fig. 2E). Our results demonstrated that miR-495 specifically binds to the 3′-UTR of STAT-3 mRNA degrading it.

Silencing of miR-495 is mediated by hypermethylation

To demonstrate the interaction between the expression of miR-495 and miR-495 promoter methylation, we predicted the section of methylation using CpGProD (http://doua.prabi.fr/software/cpgprod_query). As shown in Fig. 3A, −2000 to −1663 bp may be the section of methylation of miR-495. Next we also detected the methylation state of the miR-495 gene CpG islands by BSP. As shown in Fig. 3B, after incubation with 5-AzaC, the methylation state of the miR-495 geneCpG islands was markedly reduced compared with parental cells. As known, 5-AzaC is the most commonly DNA methyltransferase inhibitor. Therefore, just as the result shown, 5-AzaC could demethylate the miR-495 gene CpG islands and re-express miR-495 and then inhibit STAT-3 again in BC cells.

To further evaluate whether demethylation of miR-495 gene could affect the levels of STAT-3, we treated the BC cells lines with 5-AzaC

The level of miR-495 in BC cells was markedly re-expressed via 5-AzaC (Fig. 3C; P<0.01). Furthermore, in order to evaluate whether re-expression of miR-495 could inhibit STAT-3 by treated with 5-AzaC in BC cells, we detected the expression levels of STAT-3 after being treated with 5-AzaC. As shown in Fig. 3D, the mRNA and protein level of STAT-3 was markedly reduced compared with parental cells (P<0.001). In western blot assay, BC cells treated with 5-AzaC obviously downergulated the expression of STAT-3 and its downstream target VEGF (Fig. 3E). Similar results were also found in miR-495 mimic and siSTAT-3 groups. Our results demonstrated that hypermethylation-mediated silencing of miR-495 lead to the re-expression of oncogene STAT-3, and 5-AzaC could significantly reverse the expression of miR-495 and STAT-3.

Treatment with 5-AzaC, miR-495 mimics or siSTAT-3 suppress BC migration and invasion

To investigate how miR-495 affects biological functions of BC, we first analyzed its effects on cell migration and invasion. As shown in Fig. 4A, the number of migratory and invaded cells in 5-AzaC, miR-495 mimics or siSTAT-3 treated MCF-7 cells was markedly decreased comparison with the negative control group or untreated cells (P<0.001). Moreover, similar results were also found in HCC1937 cells (Fig. 4B; P<0.001).

Inhibition of proliferation and promotion of apoptosis by 5-AzaC, miR-495 mimics or siSTAT-3

Furthermore, we evaluated the cell proliferation rates using EdU flow cytometry assay in MCF-7 and HCC1937 cells. As shown in Fig. 5A, the percentage of positive fluorescence was obviously decreased in BC cells treated with 5-AzaC (P<0.01), miR-495 mimics (P<0.01) or siSTAT-3 (P<0.01) compared with that of the control groups. As shown in Fig. 5B, more cells represented apoptotic status, including early apoptosis (Annexin V+/PI) and late apoptosis (Annexin V+/PI+) in BC cells after treated with 5-AzaC (P<0.01), miR-495 mimics (P<0.01) or siSTAT-3 (P<0.01) compared with controls. In Hoechst staining assay, BC cells treated with 5-AzaC, miR-495 mimics or siSTAT-3 presented a significantly increased cell apoptosis than the untreated cells or negative control cells (Fig. 5C).

Discussion

DNA methylation is known to be a part of the epigenetic gene regulatory machinery. CpG islands are found in ~60% of the human gene promoter regions, including both protein coding and non-protein-coding genes such as miRNA genes (27,28). Recent studies have highlighted the potential role of epigenetic silencing of miRNA genes in tumor drug resistance, tumorigenesis and tumor progression and as a diagnostic biomarker for cancer (2932). For example, numerous tumor suppressor genes are methylated and thus, transcriptionally silenced in chronic lymphocytic leukemia (33). Among these, miR-495 stands out as one of most frequently identified miRNAs with methylation in their promoter regions in gastric cancer cells (24). Consistent with these observations, downregulation of the precursors of miR-495 in metastatic prostate cancer cells have been documented by several laboratories (34). In various human cancers, singular activation of STAT-3 pathway sufficiently induced cell tumorigenesis both in vitro and in vivo (35). The constitutively active STAT-3 pathway may be involved in oncogenesis by enhancing cell proliferation, promoting angiogenesis, invasion, metastasis and acquired multidrug resistance (36).

Our results indicated that the hypermethylation of the miR-495 gene CpG islands leads to the silencing of miR-495 and upregulation of STAT-3. The DNA methyltransferase inhibitor 5-AzaC is the most commonly used demethylating drug able to reverse DNA methylation resulting in gene re-expression. We speculated that it has potential as a target for combine therapy in human cancer. Many studies have confirmed that the tumor suppressor gene expression could re-expressed by 5-AzaC (3739). Our findings showed that use of 5-Aza-dC robustly increased miR-495 levels by demethylation of DNA and then strongly inhibited STAT-3 expression and cell motility in BC. In addition, VEGF, as a downstream target of STAT-3 (40), was also downregulated in BC cells after treated with 5-AzaC, miR-495 mimics or siSTAT-3, respectively.

Overall, these observations suggest that one of the mechanisms by which miR-495 overexpression induced demethylation agent 5-AzaC inhibited BC cell proliferation, invasion, and promoted apoptosis is due to the inhibition of STAT-3 and associated with a decrease in VEGF expression. However, it should be emphasized that the present study merely provides a piece of evidence for the effect of methylation of miR-495 in regulating tumor progression of BC, and we should not generalize this conclusion solely based on the results from several cell lines. To confirm this issue with sufficient data, rigorous experimental studies in more cells or models are still required.

In conclusion, taken together, the present study provides strong evidence that methylation-silencing of miR-495 is an important epigenetic mechanism favoring cancer cell growth and survival in BC and likely in other cancers as well, and demethylation to reactivate expression of miR-495 genes may be a new combine therapy for human BC.

References

1 

Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI

2 

Agarwal G, Pradeep PV, Aggarwal V, Yip CH and Cheung PS: Spectrum of breast cancer in Asian women. World J Surg. 31:1031–1040. 2007. View Article : Google Scholar : PubMed/NCBI

3 

ODriscoll L and Clynes M: Biomarkers and multiple drug resistance in breast cancer. Curr Cancer Drug Targets. 6:365–384. 2006. View Article : Google Scholar : PubMed/NCBI

4 

Li B, Lu Q, Song ZG, Yang L, Jin H, Li ZG, Zhao TJ, Bai YF, Zhu J, Chen HZ, et al: Functional analysis of DNA methylation in lung cancer. Eur Rev Med Pharmacol Sci. 17:1191–1197. 2013.PubMed/NCBI

5 

Arrigoni E, Galimberti S, Petrini M, Danesi R and Di Paolo A: ATP-binding cassette transmembrane transporters and their epigenetic control in cancer: An overview. Expert Opin Drug Metab Toxicol. 12:1419–1432. 2016. View Article : Google Scholar : PubMed/NCBI

6 

Yen CY, Huang HW, Shu CW, Hou MF, Yuan SS, Wang HR, Chang YT, Farooqi AA, Tang JY and Chang HW: DNA methylation, histone acetylation and methylation of epigenetic modifications as a therapeutic approach for cancers. Cancer Lett. 373:185–192. 2016. View Article : Google Scholar : PubMed/NCBI

7 

Kozaki K and Inazawa J: Tumor-suppressive microRNA silenced by tumor-specific DNA hypermethylation in cancer cells. Cancer Sci. 103:837–845. 2012. View Article : Google Scholar : PubMed/NCBI

8 

Liu SL, Sui YF and Lin MZ: MiR-375 is epigenetically downregulated due to promoter methylation and modulates multi-drug resistance in breast cancer cells via targeting YBX1. Eur Rev Med Pharmacol Sci. 20:3223–3229. 2016.PubMed/NCBI

9 

Ye XM, Zhu HY, Bai WD, Wang T, Wang L, Chen Y, Yang AG and Jia LT: Epigenetic silencing of miR-375 induces trastuzumab resistance in HER2-positive breast cancer by targeting IGF1R. BMC Cancer. 14:1342014. View Article : Google Scholar : PubMed/NCBI

10 

Li X, Wu Y, Liu A and Tang X: MiR-27b is epigenetically downregulated in tamoxifen resistant breast cancer cells due to promoter methylation and regulates tamoxifen sensitivity by targeting HMGB3. Biochem Biophys Res Commun. 477:768–773. 2016. View Article : Google Scholar : PubMed/NCBI

11 

He DX, Gu XT, Li YR, Jiang L, Jin J and Ma X: Methylation-regulated miR-149 modulates chemoresistance by targeting GlcNAc N-deacetylase/N-sulfotransferase-1 in human breast cancer. FEBS J. 281:4718–4730. 2014. View Article : Google Scholar : PubMed/NCBI

12 

Hu H, Li S, Cui X, Lv X, Jiao Y, Yu F, Yao H, Song E, Chen Y, Wang M, et al: The overexpression of hypomethylated miR-663 induces chemotherapy resistance in human breast cancer cells by targeting heparin sulfate proteoglycan 2 (HSPG2). J Biol Chem. 288:10973–10985. 2013. View Article : Google Scholar : PubMed/NCBI

13 

He DX, Gu XT, Jiang L, Jin J and Ma X: A methylation-based regulatory network for microRNA 320a in chemoresistant breast cancer. Mol Pharmacol. 86:536–547. 2014. View Article : Google Scholar : PubMed/NCBI

14 

Xu Q, Jiang Y, Yin Y, Li Q, He J, Jing Y, Qi YT, Xu Q, Li W, Lu B, et al: A regulatory circuit of miR-148a/152 and DNMT1 in modulating cell transformation and tumor angiogenesis through IGF-IR and IRS1. J Mol Cell Biol. 5:3–13. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Li JZ, Wang ZL, Xu WH, Li Q, Gao L and Wang ZM: MicroRNA-495 regulates migration and invasion in prostate cancer cells via targeting Akt and mTOR signaling. Cancer Invest. 34:181–188. 2016. View Article : Google Scholar : PubMed/NCBI

16 

Lee SH, Jung YD, Choi YS and Lee YM: Targeting of RUNX3 by miR-130a and miR-495 cooperatively increases cell proliferation and tumor angiogenesis in gastric cancer cells. Oncotarget. 6:33269–33278. 2015.PubMed/NCBI

17 

Xu YY, Tian J, Hao Q and Yin LR: MicroRNA-495 downregulates FOXC1 expression to suppress cell growth and migration in endometrial cancer. Tumour Biol. 37:239–251. 2016. View Article : Google Scholar : PubMed/NCBI

18 

Cao M, Nie W, Li J, Zhang Y, Yan X, Guan X, Chen X, Zen K, Zhang CY, Jiang X, et al: MicroRNA-495 induces breast cancer cell migration by targeting JAM-A. Protein Cell. 5:862–872. 2014. View Article : Google Scholar : PubMed/NCBI

19 

Mao Y, Li L, Liu J, Wang L and Zhou Y: MiR-495 inhibits esophageal squamous cell carcinoma progression by targeting Akt1. Oncotarget. 7:51223–51236. 2016.PubMed/NCBI

20 

Lv C, Bai Z, Liu Z, Luo P and Zhang J: MicroRNA-495 suppresses human renal cell carcinoma malignancy by targeting SATB1. Am J Transl Res. 7:1992–1999. 2015.PubMed/NCBI

21 

Chen SM, Chen HC, Chen SJ, Huang CY, Chen PY, Wu TW, Feng LY, Tsai HC, Lui TN, Hsueh C, et al: MicroRNA-495 inhibits proliferation of glioblastoma multiforme cells by downregulating cyclin-dependent kinase 6. World J Surg Oncol. 11:872013. View Article : Google Scholar : PubMed/NCBI

22 

Jiang X, Huang H, Li Z, He C, Li Y, Chen P, Gurbuxani S, Arnovitz S, Hong GM, Price C, et al: MiR-495 is a tumor-suppressor microRNA down-regulated in MLL-rearranged leukemia. Proc Natl Acad Sci USA. 109:pp. 19397–19402. 2012; View Article : Google Scholar : PubMed/NCBI

23 

Chu H, Chen X, Wang H, Du Y, Wang Y, Zang W, Li P, Li J, Chang J, Zhao G and Zhang G: MiR-495 regulates proliferation and migration in NSCLC by targeting MTA3. Tumour Biol. 35:3487–3494. 2014. View Article : Google Scholar : PubMed/NCBI

24 

Li Z, Zhang G, Li D, Jie Z, Chen H, Xiong J, Liu Y, Cao Y, Jiang M, Le Z, et al: Methylation-associated silencing of miR-495 inhibit the migration and invasion of human gastric cancer cells by directly targeting PRL-3. Biochem Biophys Res Commun. 456:344–350. 2015. View Article : Google Scholar : PubMed/NCBI

25 

Xu Y, Ohms SJ, Li Z, Wang Q, Gong G, Hu Y, Mao Z, Shannon MF and Fan JY: Changes in the expression of miR-381 and miR-495 are inversely associated with the expression of the MDR1 gene and development of multi-drug resistance. PLoS One. 8:e820622013. View Article : Google Scholar : PubMed/NCBI

26 

Song L, Li Y, Li W, Wu S and Li Z: miR-495 enhances the sensitivity of non-small cell lung cancer cells to platinum by modulation of copper-transporting P-type adenosine triphosphatase A (ATP7A). J Cell Biochem. 115:1234–1242. 2014. View Article : Google Scholar : PubMed/NCBI

27 

Wang Y and Leung FC: An evaluation of new criteria for CpG islands in the human genome as gene markers. Bioinformatics. 20:1170–1177. 2004. View Article : Google Scholar : PubMed/NCBI

28 

Visone R and Croce CM: MiRNAs and cancer. Am J Pathol. 174:1131–1138. 2009. View Article : Google Scholar : PubMed/NCBI

29 

Li F and Mahato RI: MicroRNAs and drug resistance in prostate cancers. Mol Pharm. 11:2539–2552. 2014. View Article : Google Scholar : PubMed/NCBI

30 

Jiang CG, Lv L, Liu FR, Wang ZN, Na D, Li F, Li JB, Sun Z and Xu HM: Connective tissue growth factor is a positive regulator of epithelial-mesenchymal transition and promotes the adhesion with gastric cancer cells in human peritoneal mesothelial cells. Cytokine. 61:173–180. 2013. View Article : Google Scholar : PubMed/NCBI

31 

Zang H, Wang W and Fan S: The role of microRNAs in resistance to targeted treatments of non-small cell lung cancer. Cancer Chemother Pharmacol. 79:227–231. 2016. View Article : Google Scholar : PubMed/NCBI

32 

Chen X, Lu P, Wu Y, Wang DD, Zhou S, Yang SJ, Shen HY, Zhang XH, Zhao JH and Tang JH: MiRNAs-mediated cisplatin resistance in breast cancer. Tumour Biol. 37:12905–12913. 2016. View Article : Google Scholar : PubMed/NCBI

33 

Wang LQ and Chim CS: DNA methylation of tumor-suppressor miRNA genes in chronic lymphocytic leukemia. Epigenomics. 7:461–473. 2015. View Article : Google Scholar : PubMed/NCBI

34 

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

35 

Buettner R, Mora LB and Jove R: Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention. Clin Cancer Res. 8:945–954. 2002.PubMed/NCBI

36 

Song H, Jin X and Lin J: Stat3 upregulates MEK5 expression in human breast cancer cells. Oncogene. 23:8301–8309. 2004. View Article : Google Scholar : PubMed/NCBI

37 

Hiroki E, Suzuki F, Akahira J, Nagase S, Ito K, Sugawara J, Miki Y, Suzuki T, Sasano H and Yaegashi N: MicroRNA-34b functions as a potential tumor suppressor in endometrial serous adenocarcinoma. Int J Cancer. 131:E395–E404. 2012. View Article : Google Scholar : PubMed/NCBI

38 

Fan H, Zhao ZJ, Cheng YC, Shan YF, Lu ZH, Zhang JQ and Xie W: Gene induction and apoptosis in human hepatocellular carci-noma cells SMMC-7721 exposed to 5-aza-2-deoxycytidine. Chin Med J (Engl). 120:1626–1631. 2007.PubMed/NCBI

39 

Deng H, Guo Y, Song H, Xiao B, Sun W, Liu Z, Yu X, Xia T, Cui L and Guo J: MicroRNA-195 and microRNA-378 mediate tumor growth suppression by epigenetical regulation in gastric cancer. Gene. 518:351–359. 2013. View Article : Google Scholar : PubMed/NCBI

40 

Bhat TA, Nambiar D, Tailor D, Pal A, Agarwal R and Singh RP: Acacetin inhibits in vitro and in vivo angiogenesis and downregulates Stat signaling and VEGF expression. Cancer Prev Res (Phila). 6:1128–1139. 2013. View Article : Google Scholar : PubMed/NCBI

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June-2017
Volume 37 Issue 6

Print ISSN: 1021-335X
Online ISSN:1791-2431

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Copy and paste a formatted citation
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Spandidos Publications style
Chen Y, Luo D, Tian W, Li Z and Zhang X: Demethylation of miR-495 inhibits cell proliferation, migration and promotes apoptosis by targeting STAT-3 in breast cancer. Oncol Rep 37: 3581-3589, 2017.
APA
Chen, Y., Luo, D., Tian, W., Li, Z., & Zhang, X. (2017). Demethylation of miR-495 inhibits cell proliferation, migration and promotes apoptosis by targeting STAT-3 in breast cancer. Oncology Reports, 37, 3581-3589. https://doi.org/10.3892/or.2017.5621
MLA
Chen, Y., Luo, D., Tian, W., Li, Z., Zhang, X."Demethylation of miR-495 inhibits cell proliferation, migration and promotes apoptosis by targeting STAT-3 in breast cancer". Oncology Reports 37.6 (2017): 3581-3589.
Chicago
Chen, Y., Luo, D., Tian, W., Li, Z., Zhang, X."Demethylation of miR-495 inhibits cell proliferation, migration and promotes apoptosis by targeting STAT-3 in breast cancer". Oncology Reports 37, no. 6 (2017): 3581-3589. https://doi.org/10.3892/or.2017.5621