MicroRNA‑1271 inhibits cellular proliferation of hepatocellular carcinoma

  • Authors:
    • Andong Qin
    • Jiehua Zhu
    • Xingxiang Liu
    • Dongxiao Zeng
    • Maolin Gu
    • Chun Lv
  • View Affiliations

  • Published online on: September 25, 2017     https://doi.org/10.3892/ol.2017.7052
  • Pages: 6783-6788
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Abstract

Hepatocellular carcinoma (HCC) is one of the most common causes of cancer‑associated mortality worldwide, particularly in China. MicroRNAs (miRs) serve important roles in the pathogenesis of HCC. The present study investigated the function of miR‑1271 in HCC. The miR‑1271 levels were analyzed by quantitative reverse transcription polymerase chain reaction. Cells growth was examined by MTT assay. Bioinformatics algorithms from TargetScanHuman were used to predict the target genes of miR‑1271. The protein level was assayed by western blotting. miR‑1271 demonstrated a lower expression level in HCC tissues. Upregulation of miR‑1271 suppressed the growth of HepG‑2 and Huh‑7 cells and induced apoptosis of cells. Forkhead box Q1 (FOXQ1) was targeted by miR‑1271. In conclusion, miR‑1271 is a novel tumor suppressor that inhibits HCC proliferation and induces cellular apoptosis by targeting FOXQ1 in HCC. The results of the present study may provide a novel therapeutic target of HCC.

Introduction

Hepatocellular carcinoma (HCC) accounts for ~80% of all liver cancer cases, and is one of the most common causes of cancer-associated mortality worldwide (1,2). The prevalence rate of HCC in China is particularly high, but continues to increase in numerous western countries (1,3). Despite HCC being was one of the first cancers to be linked epidemiologically to a definite risk factor, the underlying mechanisms of HCC pathogenesis remain unclear (4). The risk factors for HCC vary by location. In China, Hepatitis B or Hepatitis C virus infections are the main risk factors (5). The survival rate of patients with HCC has been extended due to progress in liver transplantation and other treatments; however, the insensitivity of chemotherapeutic drugs, cancer recurrence and metastasis continue to contribute to a poor prognosis (6). Thus, the identification of therapeutic targets and translation of molecular studies of HCC into clinical practice is urgently required.

MicroRNAs (miRNAs) are a class of small non-coding RNAs, which are ~22 nucleotides in length (79). A number of miRNAs have been revealed to be involved in the pathogenesis of HCC (1026). The roles of miR-1271 in numerous types of cancers have previously been investigated. For example, in gastric cancer, miR-1271 inhibited cell proliferation, invasion and epithelial-mesenchymal transition (EMT) by targeting forkhead box Q1 (FOXQ1) (27). Additionally, in oral squamous cell carcinoma, miR-1271 inhibited cell growth and metastasis by targeting anaplastic lymphoma receptor tyrosine kinase (28). In HCC, a previous study demonstrated that miR-96, miR-129-1-3p, miR-1291, miR-1303 and miR-1271 differentially regulated Glypican-3 (GPC3) expression levels in HCC cells and that the upregulation of GPC3 was associated with a concomitant downregulation of its repressor miR-1271 (29). However, the roles served by miR-1271 in HCC remain unclear.

The present study analyzed the expression level of miR-1271 in HCC tissues and determined the in vitro function of miR-1271. The aim of the study was to provide useful evidence and suggestions for additional investigations.

Patients and methods

Patients

A total of 22 HCC tissue specimens were collected from the Institute of Liver Disease (The Fourth Hospital of Huaian City, Huaian, China). Tissue samples were immediately frozen in liquid nitrogen following isolation. Written informed consent was obtained from each patient prior to enrollment in the present study. The present study was approved by the Ethics Committee of The Fourth Hospital of Huaian. The specimens were processed using a hematoxylin and eosin staining protocol (30). Senior pathologists of The Fourth Hospital of Huaian (Huaian, China) evaluated the histological features of the specimens using LED microscopy at magnifications, ×100 and ×400 (DM300 Microscope, Leica Microsystems GmbH, Wetzlar, Germany).

Cell culture and antibodies

HCC Huh7 and HepG2 cells were purchased from the Cell Store of Shanghai Jiaotong University (Shanghai, China). The Huh7 cell line was maintained in RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS; PAA Laboratories; GE Healthcare Life Sciences, Chalfont, UK). The human HCC HepG2 cell line was maintained in Dulbecco's modified Eagle's medium supplemented with 10% FBS (PAA Laboratories; GE Healthcare Life Sciences). Antibodies specific to FOXQ1 (Anti-FOXQ1 antibody; cat. no., ab51340, working concentration: 2.5 µg/ml) and β-actin (Anti-β-Actin antibody; cat. no., ab8226, working concentration: 0.05 µg/ml) were supplied by Abcam (Cambridge, UK).

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA was isolated using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA), was transcribed to cDNA using an EasyScript First-Strand cDNA Synthesis SuperMix kit (TransGen Biotech, Inc., Beijing, China) according to the manufacturer's protocol. The qPCR was carried out to detect the expression of miR-1271 and FOXQ1 mRNA by using SYBR-Green qPCR SuperMix-UDG with ROX (Invitrogen; Thermo Fisher Scientific, Inc.). The mRNA and miRNA primers were synthesized by Shanghai Genepharma Co. Ltd. (Shanghai, China). U6 and GAPDH were used as the references for detecting the expression of miR-1271 or FOXQ1, respectively. The primers used were as follows: miR-1271-forward (F), 5′-CAGCACTTGGCACCTAGCA-3′, miR-1271-reverse (R), 5′-TATGGTTGTTCTCCTCTCTGTCTC-3′; FOXQ1-F, 5′-GTGATTTCTTGCTATTGACCGATG-3′, FOXQ1-R, 5′-GCCCAAGGAGACCACAGTTAGA-3′; U6-F, 5′-AGAGCCTGTGGTGTCCG-3′, U6-R, 5′-CATCTTCAAAGCACTTCCCT-3′; and GAPDH-F, 5′-CATCACCATCTTCCAGGAGCG-3′, GAPDH-R, 5′-TGACCTTGCCCACAGCCTTG-3′. Relative expression levels were calculated by the 2−ΔΔCt method (3133). This experiment was repeated at least three times.

miR mimics and miR-antisense-oligonucleotides (AOS)

miR-1271 mimics, miR-1271 antisense oligonucleotides and the negative control (NC) were purchased from Qiagen, Inc. (Valencia, CA, USA). miR-ASOs, miR mimics and the respective NC were transfected into cells at a concentration of 50 nM using Lipofectamine® 2000 transfection reagent (Invitrogen; Thermo Fisher Scientific, Inc.) at 37°C for 30 min, according to the manufacturer's protocol. After transfection, the cells were maintained at 37°C for 48 h for additional experiments.

MTT assays

After 24 h of transfection of miR-1271 mimics and anti-miR-940, MDA-MB-231 and BT-549 cells (5×103/well) were seeded into 96-well plates. Then, MTT experiments were performed as described previously (34).

Apoptosis assay for flow cytometry

Huh7 and HepG2 cells were seeded at a density of 0.3×106 overnight, then these cells were harvested and washed with PBS three times. The Fc receptor was blocked by 3% fetal bovine albumin at room temperature for 30 min. Cells were stained with Anti-Annexin V antibody (1:500, cat. no., ab63556; Abcam) at room temperature for 20 min.

Bioinformatics methods

The miR-1271 targets predicted by algorithms were acquired from the Target Scan Human database (http://www.targetscan.org/vert_61/) (3538).

FOXQ1 3′untranslated region (UTR) reporter analysis

The reporter genes analysis was performed by Chengdu Technology & Market Co., Ltd. (Chengdu, China). Briefly, the 3′UTR of FOXQ1 was amplified and cloned into the downstream FOXQ1 3′UTR reporter plasmids (pRL-FOXQ1), using the following primers: FOXQ1-3′UTR-HF, 5′-AATTCTAGGCGATCGCTCGAGGACTACTGTTTGGGGTTTCTGG-3′; FOXQ1-3′UTR-HR, 5′-GCGGCCGCTCTAGGTTTAAACACACTTGCTTTCAAGGCAGTGG-3′. The thermocycler conditions were as follows: 95°C for 3 min, then 95°C for 30 sec, 53°C for 30 sec and 72°C for 30 sec for 28 cycles, followed by 72°C for 2 min. Mutants of FOXQ1 3′UTR were generated using the Site-Directed Mutagenesis kit (Shanghai Shengong Biotechnology Company, Shanghai, China). For the luciferase reporter assay, the cells were co-transfected with miR-1271 mimics, control and reporter plasmid or the mutant 3′UTR, together with the controls using Lipofectamine® 2000 at 37°C for 30 min. At 48 h following transfection, cells were analyzed using the Dual Luciferase reporter assay system (Promega Corporation, Madison, WI, USA) as described previously (39).

Western blot analysis

Cells (5×106 cells) were lysed using 50 µl M-PER protein extraction reagent (Pierce; Thermo Fisher Scientific, Inc.) supplemented with 10 µl protease inhibitor cocktail (EMD Millipore, Billerica, MA, USA) on ice for 45 min (40). Protein quantification was evaluated using a BCA assay and absorbance at 280 nm (Pierce; Thermo Fisher Scientific, Inc.). Protein (20 µg) was separated using 10% SDS-PAGE gels, then electrophoretically transferred onto nitrocellulose membranes (Bio-Rad Laboratories, Inc., Hercules, CA, USA). The membranes were blocked with 5% milk/TBS Tween-20 at 4°C overnight, and then incubated with antibodies specific to FOXQ1 (Anti-FOXQ1 antibody; cat. no., ab51340, working concentration, 2.5 µg/ml) at 4°C overnight, followed by incubation with a horseradish peroxidase-conjugated secondary antibody (goat anti-rabbit IgG H&L, cat. no., ab6721, 1:1,000) at room temperature for 2 h (Abcam, Cambridge, United Kingdom). The membranes were washed with TBS three times and then images were visualized by chemiluminescence and LabWorks Image Acquisition and Analysis Software 2 (UVP LLC, Upland, CA, USA).

Statistical analysis

Statistical analyses were conducted using SPSS version 18 (SPSS, Inc., Chicago, IL, USA). Data are presented as the mean ± standard deviation from three experimental repeats. Two-tailed Student's t-test was used to analyze the difference between two groups. One-way ANOVA was used to analyze the difference between three groups. Multiple comparison between the groups was performed using the Student Newman Keuls method. The Wilcoxon matched-pairs signed rank test was used to determine the difference between the expression level of miR-1271 in HCC tissues and the matched controls. Kaplan-Meier analysis was used to evaluate the overall survival rate of patients with HCC according to the expression level of miR-1271 in HCC tissues. The correlation analysis was performed by two-tailed Pearson's correlation coefficient analysis. P<0.05 was considered to indicate a statistically significant difference.

Results

miR-1271 is frequently downregulated in HCC tissues

Initially, miR-1271 expression levels in tumor tissues and the matched adjacent normal tissues of 22 patients with HCC were evaluated by RT-qPCR. The results indicated that in 22 patients with HCC, compared with the matched non-tumorous tissues, the majority of HCC tissues exhibited lower miR-1271 expression levels compared with the corresponding tumor-adjacent normal tissues (Fig. 1A). Furthermore, the 22 HCC tissues demonstrated a lower mean expression level of miR-1271 compared with in normal tissues (Fig. 1B). These results indicated that miR-1271 may serve an important role in HCC.

Overexpression of miR-1271 inhibited cell growth and promoted apoptosis of cells

The miR-1271 expression levels in HCC cell lines, HepG-2 and Huh-7, were analyzed by RT-qPCR. The results indicated that there were lower expression levels of miR-1271 in HepG-2 and Huh-7 cells compared with normal liver tissue (Fig. 2A). The present study subsequently overexpressed miR-1271 by performing miR-1271 mimic transfection. Following 48 h, the miR-1271 expression levels in HepG-2 and Huh-7 cells were evaluated by RT-qPCR. It was revealed that miR-1271 mimic transfection upregulated miR-1271 levels in HepG-2 and Huh-7 cells (Fig. 2B). Following the transfection, cellular proliferation rate was determined by MTT analysis. The results suggested that transfection of miR-1271 mimics inhibited HepG-2 and Huh-7 cell growth (Fig. 2C). A total of 48 h subsequent to transfection, cells were prepared for apoptosis analysis and it was demonstrated that transfection of miR-1271 mimics induced an increase in the levels of cellular apoptosis (Fig. 2D).

Downregulation of miR-1271 promoted cell growth and inhibited apoptosis

The present study downregulated miR-1271 expression levels by transfection of miR-1271 ASO. Following 48 h, the miR-1271 expression levels in HepG-2 and Huh-7 cells were determined by RT-qPCR and it was revealed that miR-1271 ASO transfection downregulated the miR-1271 levels in HepG-2 and Huh-7 cells (Fig. 3A). Following the transfection, cellular proliferation rate was evaluated by MTT analysis. The present study demonstrated that transfection of miR-1271 mimics promoted HepG-2 and Huh-7 cell growth (Fig. 3B). Following a 48 h transfection, cells were prepared for apoptosis analysis and the results revealed that transfection of miR-1271 mimics inhibited apoptosis (Fig. 3C).

miR-1271 targets FOXQ1 in HCC cells

In order to investigate mechanism underlying miR-1271 in HCC, the present study predicted the potential target genes of miR-1271 using bioinformatics algorithms. Numerous genes were predicted (data not shown), including FOXQ1. FOXQ1 is a member of the forkhead transcription factor family (41). A previous study revealed that FOXQ1 is a modulator of TWIST-1 mediated metastatic phenotypes and a biomarker of metastasis (42). FOXQ1 served a key role in regulating EMT and aggressiveness of human cancer (43). Therefore, FOXQ1 was selected for additional investigation. The binding sites with miR-1271 and the mutant sequence were listed (Fig. 4A). Following the construction of luciferase reporter plasmids with 3′UTR of FOXQ1 or mutant, miR-1271 mimics and reporter plasmids were co-transfected into HepG-2 cells: This revealed that overexpression of miR-1271 reduced the luciferase activity of wild type 3′UTR reporter; however, in the mutated 3′UTR reporter, miR-1271 demonstrated less effect (Fig. 4B). Next, HepG-2 cells were transfected with miR-1271 mimics. After 48 h, western blot analysis was performed to determine the expression level of FOXQ1 protein, and it was identified that the transfection of miR-1271 mimics inhibited the FOXQ1 protein expression in HepG-2 cells (Fig. 4C). Finally, the FOXQ1 mRNA expression levels in 11 HCC tissues were examined by PCR. It was demonstrated that the FOXQ1 mRNA expression levels and miR-1271 expression levels were negatively correlated (Fig. 4D).

Discussion

The present study determined the function of miR-1271 by alteration of miR-1271 expression levels in HCC cells. HCC tissues revealed a lower expression level of miR-1271. Overexpression of miR-1271 inhibited cell growth and promoted apoptosis, and downregulation of miR-1271 promoted cell growth and inhibited apoptosis. miR-1271 targeted FOXQ1. The downregulation of miR-1271 in HCC has been demonstrated in a previous study (29). The results of the present study revealed a clear role of miR-1271 in HCC.

The present study demonstrated that FOXQ1 was targeted by miR-1271. It has previously been revealed that FOXQ1 is overexpressed in various types of human cancer, including colorectal (44), breast (45) and lung cancer (45) and HCC (46,47). Notably, high FOXQ1 expression levels were independent prognostic factors of HCC (46). As FOXQ1 was targeted by miR-1271, the present study suggested that miR-1271 may be a prognostic factor of HCC.

In addition, FOXQ1 has been reported to be a target of TGF-β signaling in breast cancer (48) and a novel target of the Wnt-β-catenin signaling pathway in colorectal cancer (49). miR-124 suppressed tumor growth and metastasis by targeting FOXQ1 in nasopharyngeal cancer (50). An additional previous study suggested that there was a double-negative feedback loop between miR-422a and its targeted gene, FOXQ1, in HCC (51). To the best of our knowledge, the present study demonstrated for the first time that FOXQ1 was directly downregulated by miR-1271 in HCC.

In conclusion, the present study identified miR-1271 as a novel tumor suppressor that inhibits HCC cell growth and induces cellular apoptosis by targeting FOXQ1 in HCC. These results indicated that miR-1271 could be potential molecular target for additional investigation.

Acknowledgements

The present study was supported by the Key Project of Research and Development of Huai'an (grant no., HAS2014007)

References

1 

Siegel RL, Miller KD and Jemal A: Cancer statistics, 2015. CA Cancer J Clin. 65:5–29. 2015. View Article : Google Scholar : PubMed/NCBI

2 

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

3 

Venook AP, Papandreou C, Furuse J and de Guevara LL: The incidence and epidemiology of hepatocellular carcinoma: A global and regional perspective. Oncologist. 15 Suppl 4:S5–S13. 2010. View Article : Google Scholar

4 

Beasley RP: Hepatitis B virus. The major etiology of hepatocellular carcinoma. Cancer. 61:1942–1956. 1988. View Article : Google Scholar : PubMed/NCBI

5 

Song P, Feng X, Zhang K, Song T, Ma K, Kokudo N, Dong J, Yao L and Tang W: Screening for and surveillance of high-risk patients with HBV-related chronic liver disease: Promoting the early detection of hepatocellular carcinoma in China. Biosci Trends. 7:1–6. 2013.PubMed/NCBI

6 

Karaman B, Battal B, Sari S and Verim S: Hepatocellular carcinoma review: Current treatment, and evidence-based medicine. World J Gastroenterol. 20:18059–18060. 2014. View Article : Google Scholar : PubMed/NCBI

7 

Bartel DP: MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell. 116:281–297. 2004. View Article : Google Scholar : PubMed/NCBI

8 

Ambros V: The functions of animal microRNAs. Nature. 431:350–355. 2004. View Article : Google Scholar : PubMed/NCBI

9 

He L and Hannon GJ: MicroRNAs: Small RNAs with a big role in gene regulation. Nat Rev Genet. 5:522–531. 2004. View Article : Google Scholar : PubMed/NCBI

10 

Gramantieri L, Ferracin M, Fornari F, Veronese A, Sabbioni S, Liu CG, Calin GA, Giovannini C, Ferrazzi E, Grazi GL, et al: Cyclin G1 is a target of miR-122a, a microRNA frequently down-regulated in human hepatocellular carcinoma. Cancer Res. 67:6092–6099. 2007. View Article : Google Scholar : PubMed/NCBI

11 

Budhu A, Jia HL, Forgues M, Liu CG, Goldstein D, Lam A, Zanetti KA, Ye QH, Qin LX, Croce CM, et al: Identification of metastasis-related microRNAs in hepatocellular carcinoma. Hepatology. 47:897–907. 2008. View Article : Google Scholar : PubMed/NCBI

12 

Xu T, Zhu Y, Xiong Y, Ge YY, Yun JP and Zhuang SM: MicroRNA-195 suppresses tumorigenicity and regulates G1/S transition of human hepatocellular carcinoma cells. Hepatology. 50:113–121. 2009. View Article : Google Scholar : PubMed/NCBI

13 

Su H, Yang JR, Xu T, Huang J, Xu L, Yuan Y and Zhuang SM: MicroRNA-101, down-regulated in hepatocellular carcinoma, promotes apoptosis and suppresses tumorigenicity. Cancer Res. 69:1135–1142. 2009. View Article : Google Scholar : PubMed/NCBI

14 

Murakami Y, Yasuda T, Saigo K, Urashima T, Toyoda H, Okanoue T and Shimotohno K: Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissues. Oncogene. 25:2537–2545. 2006. View Article : Google Scholar : PubMed/NCBI

15 

Braconi C and Patel T: MicroRNA expression profiling: A molecular tool for defining the phenotype of hepatocellular tumors. Hepatology. 47:1807–1809. 2008. View Article : Google Scholar : PubMed/NCBI

16 

Murakami Y, Tamori A, Itami S, Tanahashi T, Toyoda H, Tanaka M, Wu W, Brojigin N, Kaneoka Y, Maeda A, et al: The expression level of miR-18b in hepatocellular carcinoma is associated with the grade of malignancy and prognosis. BMC Cancer. 13:992013. View Article : Google Scholar : PubMed/NCBI

17 

Gramantieri L, Fornari F, Callegari E, Sabbioni S, Lanza G, Croce CM, Bolondi L and Negrini M: MicroRNA involvement in hepatocellular carcinoma. J Cell Mol Med. 12:2189–2204. 2008. View Article : Google Scholar : PubMed/NCBI

18 

Wang B, Majumder S, Nuovo G, Kutay H, Volinia S, Patel T, Schmittgen TD, Croce C, Ghoshal K and Jacob ST: Role of microRNA-155 at early stages of hepatocarcinogenesis induced by choline-deficient and amino acid-defined diet in C57BL/6 mice. Hepatology. 50:1152–1161. 2009. View Article : Google Scholar : PubMed/NCBI

19 

Coulouarn C, Factor VM, Andersen JB, Durkin ME and Thorgeirsson SS: Loss of miR-122 expression in liver cancer correlates with suppression of the hepatic phenotype and gain of metastatic properties. Oncogene. 28:3526–3536. 2009. View Article : Google Scholar : PubMed/NCBI

20 

Ji J, Shi J, Budhu A, Yu Z, Forgues M, Roessler S, Ambs S, Chen Y, Meltzer PS, Croce CM, et al: MicroRNA expression, survival, and response to interferon in liver cancer. N Engl J Med. 361:1437–1447. 2009. View Article : Google Scholar : PubMed/NCBI

21 

Ji J, Yamashita T, Budhu A, Forgues M, Jia HL, Li C, Deng C, Wauthier E, Reid LM, Ye QH, et al: Identification of microRNA-181 by genome-wide screening as a critical player in EpCAM-positive hepatic cancer stem cells. Hepatology. 50:472–480. 2009. View Article : Google Scholar : PubMed/NCBI

22 

Ladeiro Y, Couchy G, Balabaud C, Bioulac-Sage P, Pelletier L, Rebouissou S and Zucman-Rossi J: MicroRNA profiling in hepatocellular tumors is associated with clinical features and oncogene/tumor suppressor gene mutations. Hepatology. 47:1955–1963. 2008. View Article : Google Scholar : PubMed/NCBI

23 

Song G, Sharma AD, Roll GR, Ng R, Lee AY, Blelloch RH, Frandsen NM and Willenbring H: MicroRNAs control hepatocyte proliferation during liver regeneration. Hepatology. 51:1735–1743. 2010. View Article : Google Scholar : PubMed/NCBI

24 

Ura S, Honda M, Yamashita T, Ueda T, Takatori H, Nishino R, Sunakozaka H, Sakai Y, Horimoto K and Kaneko S: Differential microRNA expression between hepatitis B and hepatitis C leading disease progression to hepatocellular carcinoma. Hepatology. 49:1098–1112. 2009. View Article : Google Scholar : PubMed/NCBI

25 

Wong TS, Liu XB, Wong BY, Ng RW, Yuen AP and Wei WI: Mature miR-184 as potential oncogenic microRNA of squamous cell carcinoma of tongue. Clin Cancer Res. 14:2588–2592. 2008. View Article : Google Scholar : PubMed/NCBI

26 

Wang Y, Lee AT, Ma JZ, Wang J, Ren J, Yang Y, Tantoso E, Li KB, Ooi LL, Tan P and Lee CG: Profiling microRNA expression in hepatocellular carcinoma reveals microRNA-224 up-regulation and apoptosis inhibitor-5 as a microRNA-224-specific target. J Biol Chem. 283:13205–13215. 2008. View Article : Google Scholar : PubMed/NCBI

27 

Xiang XJ, Deng J, Liu YW, Wan LY, Feng M, Chen J and Xiong JP: MiR-1271 inhibits cell proliferation, invasion and EMT in gastric cancer by targeting FOXQ1. Cell Physiol Biochem. 36:1382–1394. 2015. View Article : Google Scholar : PubMed/NCBI

28 

Kong D, Zhang G, Ma H and Jiang G: miR-1271 inhibits OSCC cell growth and metastasis by targeting ALK. Neoplasma. 62:559–566. 2015. View Article : Google Scholar : PubMed/NCBI

29 

Maurel M, Jalvy S, Ladeiro Y, Combe C, Vachet L, Sagliocco F, Bioulac-Sage P, Pitard V, Jacquemin-Sablon H, Zucman-Rossi J, et al: A functional screening identifies five microRNAs controlling glypican-3: Role of miR-1271 down-regulation in hepatocellular carcinoma. Hepatology. 57:195–204. 2013. View Article : Google Scholar : PubMed/NCBI

30 

Fischer AH, Jacobson KA, Rose J and Zeller R: Hematoxylin and eosin staining of tissue and cell sections. CSH Protoc. 2008:pdb.prot49862008.PubMed/NCBI

31 

Li D, Liu X, Lin L, Hou J, Li N, Wang C, Wang P, Zhang Q, Zhang P, Zhou W, et al: MicroRNA-99a inhibits hepatocellular carcinoma growth and correlates with prognosis of patients with hepatocellular carcinoma. J Biol Chem. 286:36677–36685. 2011. View Article : Google Scholar : PubMed/NCBI

32 

Song B, Zhang C, Li G, Jin G and Liu C: MiR-940 inhibited pancreatic ductal adenocarcinoma growth by targeting MyD88. Cell Physiol Biochem. 35:1167–1177. 2015. View Article : Google Scholar : PubMed/NCBI

33 

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

34 

Mosmann T: Rapid colorimetric assay for cellular growth and survival: Application to proliferation and cytotoxicity assays. J Immunol Methods. 65:55–63. 1983. View Article : Google Scholar : PubMed/NCBI

35 

Lewis BP, Burge CB and Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 120:15–20. 2005. View Article : Google Scholar : PubMed/NCBI

36 

Friedman RC, Farh KK, Burge CB and Bartel DP: Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 19:92–105. 2009. View Article : Google Scholar : PubMed/NCBI

37 

Grimson A, Farh KK, Johnston WK, Garrett-Engele P, Lim LP and Bartel DP: MicroRNA targeting specificity in mammals: Determinants beyond seed pairing. Mol Cell. 27:91–105. 2007. View Article : Google Scholar : PubMed/NCBI

38 

Garcia DM, Baek D, Shin C, Bell GW, Grimson A and Bartel DP: Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAs. Nat Struct Mol Biol. 18:1139–1146. 2011. View Article : Google Scholar : PubMed/NCBI

39 

Grentzmann G, Ingram JA, Kelly PJ, Gesteland RF and Atkins JF: A dual-luciferase reporter system for studying recoding signals. RNA. 4:479–486. 1998.PubMed/NCBI

40 

Zhang H, Cai X, Wang Y, Tang H, Tong D and Ji F: microRNA-143, down-regulated in osteosarcoma, promotes apoptosis and suppresses tumorigenicity by targeting Bcl-2. Oncol Rep. 24:1363–1369. 2010.PubMed/NCBI

41 

Carlsson P and Mahlapuu M: Forkhead transcription factors: Key players in development and metabolism. Dev Biol. 250:1–23. 2002. View Article : Google Scholar : PubMed/NCBI

42 

Abba M, Patil N, Rasheed K, Nelson LD, Mudduluru G, Leupold JH and Allgayer H: Unraveling the role of FOXQ1 in colorectal cancer metastasis. Mol Cancer Res. 11:1017–1028. 2013. View Article : Google Scholar : PubMed/NCBI

43 

Qiao Y, Jiang X, Lee ST, Karuturi RK, Hooi SC and Yu Q: FOXQ1 regulates epithelial-mesenchymal transition in human cancers. Cancer Res. 71:3076–3086. 2011. View Article : Google Scholar : PubMed/NCBI

44 

Kaneda H, Arao T, Tanaka K, Tamura D, Aomatsu K, Kudo K, Sakai K, De Velasco MA, Matsumoto K, Fujita Y, et al: FOXQ1 is overexpressed in colorectal cancer and enhances tumorigenicity and tumor growth. Cancer Res. 70:2053–2063. 2010. View Article : Google Scholar : PubMed/NCBI

45 

Feng J, Zhang X, Zhu H, Wang X, Ni S and Huang J: FoxQ1 overexpression influences poor prognosis in non-small cell lung cancer, associates with the phenomenon of EMT. PLoS One. 7:e399372012. View Article : Google Scholar : PubMed/NCBI

46 

Wang W, He S, Ji J, Huang J, Zhang S and Zhang Y: The prognostic significance of FOXQ1 oncogene overexpression in human hepatocellular carcinoma. Pathol Res Pract. 209:353–358. 2013. View Article : Google Scholar : PubMed/NCBI

47 

Xia L, Huang W, Tian D, Zhang L, Qi X, Chen Z, Shang X, Nie Y and Wu K: Forkhead box Q1 promotes hepatocellular carcinoma metastasis by transactivating ZEB2 and VersicanV1 expression. Hepatology. 59:958–973. 2014. View Article : Google Scholar : PubMed/NCBI

48 

Fan DM, Feng XS, Qi PW and Chen YW: Forkhead factor FOXQ1 promotes TGF-b1 expression and induces epithelial-mesenchymal transition. Mol Cell Biochem. 397:179–186. 2014. View Article : Google Scholar : PubMed/NCBI

49 

Christensen J, Bentz S, Sengstag T, Shastri VP and Anderle P: FOXQ1, a novel target of the Wnt pathway and a new marker for activation of Wnt signaling in solid tumors. PLoS One. 8:e600512013. View Article : Google Scholar : PubMed/NCBI

50 

Peng XH, Huang HR, Lu J, Liu X, Zhao FP, Zhang B, Lin SX, Wang L, Chen HH, Xu X, et al: MiR-124 suppresses tumor growth and metastasis by targeting Foxq1 in nasopharyngeal carcinoma. Mol Cancer. 13:1862014. View Article : Google Scholar : PubMed/NCBI

51 

Zhang J, Yang Y, Yang T, Yuan S, Wang R, Pan Z, Yang Y, Huang G, Gu F, Jiang B, et al: Double-negative feedback loop between microRNA-422a and forkhead box (FOX)G1/Q1/E1 regulates hepatocellular carcinoma tumor growth and metastasis. Hepatology. 61:561–573. 2015. View Article : Google Scholar : PubMed/NCBI

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December-2017
Volume 14 Issue 6

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Spandidos Publications style
Qin A, Zhu J, Liu X, Zeng D, Gu M and Lv C: MicroRNA‑1271 inhibits cellular proliferation of hepatocellular carcinoma. Oncol Lett 14: 6783-6788, 2017
APA
Qin, A., Zhu, J., Liu, X., Zeng, D., Gu, M., & Lv, C. (2017). MicroRNA‑1271 inhibits cellular proliferation of hepatocellular carcinoma. Oncology Letters, 14, 6783-6788. https://doi.org/10.3892/ol.2017.7052
MLA
Qin, A., Zhu, J., Liu, X., Zeng, D., Gu, M., Lv, C."MicroRNA‑1271 inhibits cellular proliferation of hepatocellular carcinoma". Oncology Letters 14.6 (2017): 6783-6788.
Chicago
Qin, A., Zhu, J., Liu, X., Zeng, D., Gu, M., Lv, C."MicroRNA‑1271 inhibits cellular proliferation of hepatocellular carcinoma". Oncology Letters 14, no. 6 (2017): 6783-6788. https://doi.org/10.3892/ol.2017.7052