Long non‑coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR‑377 in non‑small cell lung cancer

  • Authors:
    • Junsheng Zhang
    • Yongli Li
    • Mei Dong
    • Dongyuan Wu
  • View Affiliations

  • Published online on: August 18, 2017     https://doi.org/10.3892/ol.2017.6769
  • Pages: 4983-4988
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Abstract

It has previously been demonstrated that the long non‑coding RNA (lncRNA) nuclear enriched abundant transcript (NEAT)‑1 is increased in multiple cancers and may be associated with cancer development. However, the function and mechanism of NEAT1 in non‑small cell lung cancer (NSCLC) has not yet been fully elucidated. In the present study, the expression of NEAT1 in NSCLC was detected using quantitative polymerase chain reaction and association with survival was estimated. The effect of NEAT1 on proliferation was detected by growth curve and cell cycle analysis. Bioinformatics analysis was used to identify miRNAs that interact with NEAT1. Following this, a series of molecular biological techniques were used to verify the mechanism of NEAT1. The results indicated that NEAT1 was highly expressed in NSCLC, and high NEAT1 expression was associated with a shorter overall survival. NEAT1 promoted NSCLC cell growth and affected the cell cycle process in vitro. Furthermore, NEAT1 was observed to bind hsa‑miR‑377‑3p, functioning as a competing endogenous RNA, which resulted in de‑repression of its target gene E2F transcription factor 3 (E2F3). E2F3, as an oncogene, may promote NSCLC progression. These results suggested that NEAT1 may promote the development of NSCLC through the miR‑377‑3p‑E2F3 pathway.

Introduction

Lung cancer is the main cause of cancer-related death worldwide. Non-small cell lung carcinoma (NSCLC), accounting for approximately 80% of lung cancer, is the most common histopathological type. Surgery is the only treatment method for early stages of NSCLC, but the 5-year overall survival rate is only 40% (1). Although remarkable progress has been made in the past decades, the molecular mechanisms of NSCLC carcinogenesis are still not clear.

Long non-coding RNAs (lncRNAs), which are non-coding RNAs with more than 200 nucleotides in length, are frequently cell-type specific and contribute to the progression of multiple human tumors (2,3). Moreover, lncRNAs also have the potential function as diagnostic or prognostic markers of cancer (410). Nuclear enriched abundant transcript 1 (NEAT1) is a nuclear-restricted lncRNA that has two isoforms: NEAT1-1 and NEAT1-2 (11). It was recently revealed as an essential architectural component of paraspeckle structure (12,13). NEAT1 plays a role in several biological processes, including stress response and cellular differentiation through paraspeckles pathway (14). NEAT1 is also a marker for poor survival of breast cancer patients (15). In prostate cancer, NEAT1 was proved to promote oncogenic growth by altering gene promoters and then inducing transcription (16). But until now, the specific mechanism of NEAT1 is still not clear in NSCLC.

The aim of this study is to explore the function and mechanism of NEAT1 in NSCLC. We first found the increased expression of NEAT1 in NSCLC and its correlation with poor survival. Then, we found that NEAT1 (represented by NEAT1-2) harbors three conserved miR-377-3p cognate sites, and E2F3 harbors two conserved miR-377-3p cognate sites using Biological information technology. At last, our results showed that NEAT1 might be a crucial oncogenic regulator involved in NSCLC development by functioning as a ceRNA, which binding to miR-377-3p and then further activated the E2F3 pathway.

Materials and methods

Tissue collection

All the samples (20 paired NSCLC tissues and adjacent normal tissues) were obtained from patients suffering from NSCLC who operated at the second affiliated hospital of Harbin Medical University between 2011.5 and 2012.8. All these patients did not recieve any local or systemic treatment before operation. All collected tissue samples were immediately treated by liquid nitrogen, then stored at −80°C before RNA extraction. All patients signed their informed consent. The study has got approval from the Research Ethics Committee of Harbin Medical University, and thus meets the standards of the Declaration of Helsinki in its revised version of 1975 and its amendments of 1983, 1989, and 1996.

Cell lines and culture conditions

Normal human embryonic lung fibroblasts cell line (HELF) and several NSCLC cancer cell lines, including A549, SPC-A1, H1299, 95D, SK-MES-1, and NCI-H520, were used in this study. These cells were cultured in RPMI-1640 (Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) or Dulbecco's modified Eagle's medium (DMEM; Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% fetal bovine serum (FBS) at 37°C in humidified air with 5% CO2.

Transfection of cell lines

The siRNA (small interfering RNA) sequences (GenePharma, Shanghai, China) were shown in Table I. Synthetic sequence-scrambled siRNA was used as negative controls (NC). Human E2F3 gene was ligated into pGCMV vector (GenePharma). The empty vector was used as NC. Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA) was used to complete transfection in A549 and H1299 cells according to the manufacturer's protocol.

Table I.

Sequence of NEAT1 siRNA.

Table I.

Sequence of NEAT1 siRNA.

NEAT1 siRNASequence
siRNA1 5′-GCCAUCAGCUUUGAAUAAAUU-3′
siRNA2 5′-GGUGUUAUCAAGUGAAUUAUU-3′
siRNA3 5′-GCCUUGUAAAUGCCUAUAUUU-3′
Cell proliferation ability analysis

Different groups of cells were seeded into 6 wells plate at 1×105 cells per well. The cell number was counted for three consecutive days and then growth curve was drawn according to the cell number at 24, 48 and 72 h. 1×106 cells were prepared for cell cycle analysis. First, the cells were fixed with 70% cold ethanol. After 12 h at 4°C, the cells were washed with PBS and stained with propidium iodide (PI). Finally, flow cytometry (BD Biosciences, San Jose, CA, USA) was conducted to analyze cell cycle.

Luciferase reporter assays

The wild-type and mutant 3′-UTR of human E2F3 or lncRNA NEAT1 were inserted into the pmiR-RB-REPORT TM (Guangzhou RiboBio Co., Ltd., Guangzhou, China) through XhoI and NotI sites. Co-transfected wild-type/mutant reporter plasmid and miR-Ribo TM negative control into A549 and H1299 cells by Lipofectamine 2000 (Invitrogen), and then measured luciferase activities using the Dual-Luciferase Reporter Assay system 48 h post-transfection according to the manufacturer's instructions (Promega Corp., Madison, WI, USA).

RNA isolation and quantitative reverse transcription polymerase chain reaction (qRT-PCR)

Total RNA in cells and tissues was extracted using Trizol reagent (Invitrogen). RNA was reversed into cDNA through reverse transcription kits (Guangzhou RiboBio Co., Ltd.). Then the levels of target mRNAs were detected using qRT-PCR by SYBR® Premix Ex Taq™II (Takara Bio, Inc., Otsu, Japan) in the ABI PRISM® 7300 real-time PCR system (Applied Biosystems, Foster City, CA, USA). GAPDH and U6 were used as endogenous controls. The primer sequences involved in this study were shown in Table II.

Table II.

Sequence of primers.

Table II.

Sequence of primers.

GenePrimer sequence
GAPDHForward 5′-TGTGGGCATCAATGGATTTGG-3′
Reverse 5′-ACACCATGTATTCCGGGTCAAT-3′
NEAT1_2Forward 5′-CAGTTAGTTTATCAGTTCTCCCATCCA-3′
Reverse 5′-GTTGTTGTCGTCACCTTTCAACTCT-3′
E2F3Forward 5′-AGAAAGCGGTCATCAGTACCT-3′
Reverse 5′-TGGACTTCGTAGTGCAGCTCT-3′
miR-377-3pRT: 5′-GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACacaa-3′
U6RT: 5′-AAAATATGGAACGCTTCACGAATTTG-3′
miR-377-3pForward 5′-GGGAGGCAGTGTATTGTTA-3′
Reverse 5′-GTCGTATCCAGTGCAGGGTCCGAGGT-3′
Western blot analysis

Total protein was obtained from the A549 and H1299 cells after 48 h of transfection using cell lysis reagent. BCA protein assay reagent kit (Thermo Fisher Scientific, Inc.) was used to detected the protein concentrations in supernatant. The protein was separated in 10% SDS-polyacrylamide gels, transferred to PVDF membranes (Hertfordshire, UK), incubated in 5% milk powder to block non-specific reaction, and then treated with antibodies overnight at 4°C, including anti-E2F3 (1:1,000 dilutions; Affinity), anti-cyclin D1 (1:1,000 dilutions; Affinity), anti-cyclinD2 (1:1,000 dilutions; Affinity), anti-CDK4 (1:1,000 dilutions; Affinity), anti-p21 (1:1,000 dilutions; Affinity), anti-p57 (1:1,000 dilutions; Affinity) and anti-GADPH (1:5,000 dilutions; Affinity). At last, the membranes were incubated with second antibody (conjugated to horseradish peroxidase, 1:12,000 dilutions) for 2 h and exposed to ECL Advance reagent (GE Healthcare Biosciences, Buckinghamshire, UK) for 2 min. The band was visualized with Fluor S Multimager and Quantity One 4.1 (Bio-Rad Laboratories, Hercules, CA, USA).

Statistical analysis

In the present study, all the data are presented as means ± SD. A two-tailed paired t-test was used to reflect the difference between groups. P<0.05 indicated that the difference was statistically significant.

Results

NEAT1 is up-regulated in NSCLC tissues and correlates with poor prognosis

In order to validate the differential expression, NEAT1 was detected in 20 paired NSCLC tissues and adjacent normal tissues with qRT-PCR. The result showed that NEAT1 expression was significantly up-regulated in cancerous tissues than normal counterparts (Fig. 1A). Compared with patients whose cancer tissue expressed less NEAT1 (≤2 folds of increase, n=6), patients whose cancer tissue expressed more NEAT1 (>2 folds of increase, n=14) had shorter overall survival according to Kaplan-Meier survival analysis (Fig. 1B). The results demonstrated that high levels of NEAT1 were associated with NSCLC poor prognosis. Upregulation of NEAT1 might play important roles in NSCLC.

NEAT1 promotes NSCLC cells growth in vitro

We first detected NEAT1 expression in NSCLC cell lines, including A549, H1299, SPCA-1, 95-D, SK-MES-1 and NCI-H520 cell line. The result showed that the expression level of NEAT1 in NSCLC cell lines was higher than that in 16HBE cell line (Fig. 2A). Then, endogenous NEAT1 expression was down-regulated by approximately 80% through small interfering RNAs (siRNAs) in A549 and H1299 cells (Fig. 2B and C). Compared with blank cells, the proliferation ability was decreased in A549-siRNA1 and H1299-siRNA1 cells (Fig. 2D and E). Cell cycle analysis indicated that deletion of NEAT1 induced cell cycle arrest in G1 phase.

NEAT1 promotes E2F3 expression in part through competitive binding miRNA-377-3p

In view of the potential function of lncRNA as a ceRNA or a molecular sponge of miRNAs, we screened the miRNAs interacting with NEAT1 using the bioinformatics, starBase2.0. Among these miRNAs, miR-377-3p (MIMAT0000730) was selected for further study. We first verified miR-377-3p expression in A549 and H1299 cells, and it is significantly higher than 16HBE cell (Fig. 3A). Dual-luciferase reporter assay indicated that miR-377-3p could decrease the luciferase activity of pmirGLO-NEAT1-WT (wild-type), however, it had no affect on the pmirGLO-NEAT1-MUT (Fig. 3B and C). Targetscan, miRanda and PicTar were used to predict the possible targets of miR-377-3p, and found that E2F3 involving in cell cycle regulation harbors two conserved miR-377-3p cognate sites. Luciferase reporter assays indicated that luciferase activity was declined more than 50% after co-transfected with miR-377-3p and the reporter vector with E2F3-3′-WT (Fig. 3D and E). Up-regulating miR-377-3p in A549 and H1299 cells suppressed the expression of NEAT1 and E2F3 (Fig. 3F and G). Inhibition of NEAT1 resulted in down-regulation of E2F3 protein level (Fig. 3H).

E2F3 promotes NSCLC proliferation through regulating cell cycle in NSCLC

Inhibiting NEAT1 in A549 cells suppressed the protein expression of cyclinD1, cyclinD2 and CDK4, whereas increased the protein levels of p21 and p57 (Fig. 4A). Consistently, over-expression of E2F3 in A549-siRNA1 cells reversed the expression of these proteins mentioned above (Fig. 4A). Over-expression of E2F3 also reversed the cell proliferation ability inhibited by decreased NEAT1 (Fig. 4B). So, E2F3 mediated the cell proliferation induced by NEAT1 by regulating cell cycle associated proteins expression.

Discussion

Recent studies have demonstrated lncRNAs play an important role in human cancers (1720). Our research indicated that NEAT1 was up-regulated in NSCLC. NEAT1 acted as an oncogene to promote the proliferation ability of NSCLC cells, which is largely due to its ceRNAs function to suppress miR-377-3p and subsequently derepress E2F3, and then activate the E2F3 signaling pathway. This study is important to illustrate the relationship between NEAT1 and NSCLC development.

This study indicated that NEAT1 was significantly up-regulated in NSCLC tissues compared to adjacent normal lung tissues. Particularly, our study also demonstrated an association between increased NEAT1 expression levels and NSCLC poor prognosis. This result indicated that NEAT1 expression may be a helpful biomarker for doctor to recognize patients with poor prognosis. It was in accordance with Pan and his colleagues' findings (21). In addition, NEAT1 significantly improved NSCLC cell proliferative ability. In summary, the results of this research suggested that NEAT1 may act as an oncogene as well as contribute significantly to NSCLC development and progression.

It has been reported that paraspeckles pathway is one of the molecular mechanisms by which NEAT1 plays roles in controlling several biological processes (12,13). Recently, NEAT1 was found to repress the transcription of some genes by protein sequestration into paraspeckles (22). Here, we discovered that NEAT1 might function by another potential molecular mechanism in NSCLC progression-acting as ‘molecular sponges’ to regulate microRNAs. Many studies have proved that lncRNAs can work as ceRNAs to regulate microRNAs, such as GAS5 (23). For another instance, CCAT1 can promote the development of gallbladder cancer by acting as miR-218-5p sponges (24). In the present study, we found that NEAT1, acting as a ceRNA, bound miR-377-3p and restricted its function.

As we have known, miRNA can regulate the expression of multiple target genes generally. It was reported that miR-377 can inhibit human clear cell renal cell carcinoma by targeting ETS1 (25), and miR-377 can also suppress cell proliferation and invasion in hepatocellular carcinoma by inhibiting TIAM1 expression (26). Additionally, Wen et al revealed miR-377 regulates mesenchymal stem cell-induced angiogenesis in ischemic hearts by targeting VEGF (27). But among the target genes of miR-377, E2F3 transcription factor caught our attention. The G1/S transition of the cell cycle is regulated in part by E2Fs transcription factors and is a tightly orchestrated process that culminates in DNA synthesis (28). E2Fs regulate expression of genes involved in many cellular processes, including apoptosis, mitosis, differentiation, and development with E2F1-3 as transcriptional activators and E2F4-8 as transcriptional repressors of these genes (29). E2F3 plays an essential role in normal proliferation (30). Furthermore, many cancers have been found to be associated with aberrant E2F expression, including lung cancer, bladder cancer and prostate cancer (31,32). In our study, we proved that E2F3 can increase the protein expression of cyclinD1, cyclinD2 and CDK4, whereas suppressing the protein levels of p21 and p57.

In summary, our results suggested lncRNA NEAT1 promoted the growth of NSLC by competitively binding to miR-377 and then removing the suppressive effect of miR-377 on E2F3. NEAT1 may also be seen as a factor that prompt the traces of NSCLC. Our research has provided a better understanding of the NEAT1 function in NSCLC, which might facilitate the development of lncRNA-directed diagnostics and therapeutics against this disease.

Acknowledgements

This work was supported by the Heilongjiang Provincial Health Bureau (No. 2016-176).

References

1 

Laskin JJ and Sandler AB: State of the art in therapy for non-small cell lung cancer. Cancer Invest. 23:427–442. 2005. View Article : Google Scholar : PubMed/NCBI

2 

Orom UA, Derrien T, Beringer M, Gumireddy K, Gardini A, Bussotti G, Lai F, Zytnicki M, Notredame C, Huang Q, et al: Long noncoding RNAs with enhancer-like function in human cells. Cell. 143:46–58. 2010. View Article : Google Scholar : PubMed/NCBI

3 

Yuan JH, Yang F, Wang F, Ma JZ, Guo YJ, Tao QF, Liu F, Pan W, Wang TT, Zhou CC, et al: A long noncoding RNA activated by TGF-β promotes the invasion-metastasis cascade in hepatocellular carcinoma. Cancer Cell. 25:666–681. 2014. View Article : Google Scholar : PubMed/NCBI

4 

Zhou M, Sun Y, Sun Y, Xu W, Zhang Z, Zhao H, Zhong Z and Sun J: Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer. Oncotarget. 7:32433–32448. 2016. View Article : Google Scholar : PubMed/NCBI

5 

Zhou M, Guo M, He D, Wang X, Cui Y, Yang H, Hao D and Sun J: A potential signature of eight long non-coding RNAs predicts survival in patients with non-small cell lung cancer. J Transl Med. 13:2312015. View Article : Google Scholar : PubMed/NCBI

6 

Zhou M, Zhao H, Wang Z, Cheng L, Yang L, Shi H, Yang H and Sun J: Identification and validation of potential prognostic lncRNA biomarkers for predicting survival in patients with multiple myeloma. J Exp Clin Cancer Res. 34:1022015. View Article : Google Scholar : PubMed/NCBI

7 

Zhou M, Xu W, Yue X, Zhao H, Wang Z, Shi H, Cheng L and Sun J: Relapse-related long non-coding RNA signature to improve prognosis prediction of lung adenocarcinoma. Oncotarget. 7:29720–29738. 2016. View Article : Google Scholar : PubMed/NCBI

8 

Zhou M, Wang X, Shi H, Cheng L, Wang Z, Zhao H, Yang L and Sun J: Characterization of long non-coding RNA-associated ceRNA network to reveal potential prognostic lncRNA biomarkers in human ovarian cancer. Oncotarget. 7:12598–12611. 2016. View Article : Google Scholar : PubMed/NCBI

9 

Zhou M, Zhao H, Xu W, Bao S, Cheng L and Sun J: Discovery and validation of immune-associated long non-coding RNA biomarkers associated with clinically molecular subtype and prognosis in diffuse large B cell lymphoma. Mol Cancer. 16:162017. View Article : Google Scholar : PubMed/NCBI

10 

Yuan SX, Yang F, Yang Y, Tao QF, Zhang J, Huang G, Yang Y, Wang RY, Yang S, Huo XS, et al: Long noncoding RNA associated with microvascular invasion in hepatocellular carcinoma promotes angiogenesis and serves as a predictor for hepatocellular carcinoma patients' poor recurrence-free survival after hepatectomy. Hepatology. 56:2231–2241. 2012. View Article : Google Scholar : PubMed/NCBI

11 

Hutchinson JN, Ensminger AW, Clemson CM, Lynch CR, Lawrence JB and Chess A: A screen for nuclear transcripts identifies two linked noncoding RNAs associated with SC35 splicing domains. BMC Genomics. 8:392007. View Article : Google Scholar : PubMed/NCBI

12 

Sasaki YT, Ideue T, Sano M, Mituyama T and Hirose T: MENepsilon/beta noncoding RNAs are essential for structural integrity of nuclear paraspeckles. Proc Natl Acad Sci USA. 106:2525–2530. 2009. View Article : Google Scholar : PubMed/NCBI

13 

Sunwoo H, Dinger ME, Wilusz JE, Amaral PP, Mattick JS and Spector DL: MEN epsilon/beta nuclear-retained non-coding RNAs are up-regulated upon muscle differentiation and are essential components of paraspeckles. Genome Res. 19:347–359. 2009. View Article : Google Scholar : PubMed/NCBI

14 

Naganuma T and Hirose T: Paraspeckle formation during the biogenesis of long non-coding RNAs. RNA Biol. 10:456–461. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Choudhry H, Albukhari A, Morotti M, Haider S, Moralli D, Smythies J, Schödel J, Green CM, Camps C, Buffa F, et al: Tumor hypoxia induces nuclear paraspeckle formation through HIF-2α dependent transcriptional activation of NEAT1 leading to cancer cell survival. Oncogene. 34:45462015. View Article : Google Scholar : PubMed/NCBI

16 

Chakravarty D, Sboner A, Nair SS, Giannopoulou E, Li R, Hennig S, Mosquera JM, Pauwels J, Park K, Kossai M, et al: The oestrogen receptor alpha-regulated lncRNA NEAT1 is a critical modulator of prostate cancer. Nat Commun. 5:53832014. View Article : Google Scholar : PubMed/NCBI

17 

Nie FQ, Zhu Q, Xu TP, Zou YF, Xie M, Sun M, Xia R and Lu KH: Long non-coding RNA MVIH indicates a poor prognosis for non-small cell lung cancer and promotes cell proliferation and invasion. Tumour Biol. 35:7587–7594. 2014. View Article : Google Scholar : PubMed/NCBI

18 

Yap KL, Li S, Muñoz-Cabello AM, Raguz S, Zeng L, Mujtaba S, Gil J, Walsh MJ and Zhou MM: Molecular interplay of the noncoding RNA ANRIL and methylated histone H3 lysine 27 by polycomb CBX7 in transcriptional silencing of INK4a. Mol Cell. 38:662–674. 2010. View Article : Google Scholar : PubMed/NCBI

19 

Yang F, Huo XS, Yuan SX, Zhang L, Zhou WP, Wang F and Sun SH: Repression of the long noncoding RNA-LET by histone deacetylase 3 contributes to hypoxia-mediated metastasis. Mol Cell. 49:1083–1096. 2013. View Article : Google Scholar : PubMed/NCBI

20 

Zhou M, Zhong L, Xu W, Sun Y, Zhang Z, Zhao H, Yang L and Sun J: Discovery of potential prognostic long non-coding RNA biomarkers for predicting the risk of tumor recurrence of breast cancer patients. Sci Rep. 6:310382016. View Article : Google Scholar : PubMed/NCBI

21 

Pan LJ, Zhong TF, Tang RX, Li P, Dang YW, Huang SN and Chen G: Upregulation and clinicopathological significance of long non-coding NEAT1 RNA in NSCLC tissues. Asian Pac J Cancer Prev. 16:2851–2855. 2015. View Article : Google Scholar : PubMed/NCBI

22 

Hirose T, Virnicchi G, Tanigawa A, Naganuma T, Li R, Kimura H, Yokoi T, Nakagawa S, Bénard M, Fox AH and Pierron G: NEAT1 long noncoding RNA regulates transcription via protein sequestration within subnuclear bodies. Mol Biol Cell. 25:169–183. 2014. View Article : Google Scholar : PubMed/NCBI

23 

Zhou M, Diao Z, Yue X, Chen Y, Zhao H, Cheng L and Sun J: Construction and analysis of dysregulated lncRNA-associated ceRNA network identified novel lncRNA biomarkers for early diagnosis of human pancreatic cancer. Oncotarget. 7:56383–56394. 2016. View Article : Google Scholar : PubMed/NCBI

24 

Ma MZ, Chu BF, Zhang Y, Weng MZ, Qin YY, Gong W and Quan ZW: Long non-coding RNA CCAT1 promotes gallbladder cancer development via negative modulation of miRNA-218-5p. Cell Death Dis. 6:e15832015. View Article : Google Scholar : PubMed/NCBI

25 

Wang R, Ma Y, Yu D, Zhao J and Ma P: miR-377 functions as a tumor suppressor in human clear cell renal cell carcinoma by targeting ETS1. Biomed Pharmacother. 70:64–71. 2015. View Article : Google Scholar : PubMed/NCBI

26 

Chen G, Lu L, Liu C, Shan L and Yuan D: MicroRNA-377 suppresses cell proliferation and invasion by inhibiting TIAM1 expression in hepatocellular carcinoma. PLoS One. 10:e01177142015. View Article : Google Scholar : PubMed/NCBI

27 

Wen Z, Huang W, Feng Y, Cai W, Wang Y, Wang X, Liang J, Wani M, Chen J, Zhu P, et al: MicroRNA-377 regulates mesenchymal stem cell-induced angiogenesis in ischemic hearts by targeting VEGF. PLoS One. 9:e1046662014. View Article : Google Scholar : PubMed/NCBI

28 

Bracken AP, Ciro M, Cocito A and Helin K: E2F target genes: Unraveling the biology. Trends Biochem Sci. 29:409–417. 2004. View Article : Google Scholar : PubMed/NCBI

29 

Takahashi Y, Rayman JB and Dynlacht BD: Analysis of promoter binding by the E2F and pRB families in vivo: Distinct E2F proteins mediate activation and repression. Genes Dev. 14:804–816. 2000.PubMed/NCBI

30 

Humbert PO, Verona R, Trimarchi JM, Rogers C, Dandapani S and Lees JA: E2f3 is critical for normal cellular proliferation. Genes Dev. 14:690–703. 2000.PubMed/NCBI

31 

Foster CS, Falconer A, Dodson AR, Norman AR, Dennis N, Fletcher A, Southgate C, Dowe A, Dearnaley D, Jhavar S, et al: Transcription factor E2F3 overexpressed in prostate cancer independently predicts clinical outcome. Oncogene. 23:5871–5879. 2004. View Article : Google Scholar : PubMed/NCBI

32 

Sherr CJ and McCormick F: The RB and p53 pathways in cancer. Cancer Cell. 2:103–112. 2002. View Article : Google Scholar : PubMed/NCBI

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Spandidos Publications style
Zhang J, Li Y, Dong M and Wu D: Long non‑coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR‑377 in non‑small cell lung cancer. Oncol Lett 14: 4983-4988, 2017
APA
Zhang, J., Li, Y., Dong, M., & Wu, D. (2017). Long non‑coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR‑377 in non‑small cell lung cancer. Oncology Letters, 14, 4983-4988. https://doi.org/10.3892/ol.2017.6769
MLA
Zhang, J., Li, Y., Dong, M., Wu, D."Long non‑coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR‑377 in non‑small cell lung cancer". Oncology Letters 14.4 (2017): 4983-4988.
Chicago
Zhang, J., Li, Y., Dong, M., Wu, D."Long non‑coding RNA NEAT1 regulates E2F3 expression by competitively binding to miR‑377 in non‑small cell lung cancer". Oncology Letters 14, no. 4 (2017): 4983-4988. https://doi.org/10.3892/ol.2017.6769