- Open Access
MicroRNA-155-3p promotes hepatocellular carcinoma formation by suppressing FBXW7 expression
- Bo Tang†1, 2,
- Biao Lei†1, 2,
- Guangying Qi†3,
- Xingsi Liang1, 2,
- Fang Tang1, 2,
- Shengguang Yuan1, 2,
- Zhenran Wang1, 2,
- Shuiping Yu1, 2 and
- Songqing He1, 2Email author
© The Author(s). 2016
- Received: 26 March 2016
- Accepted: 7 June 2016
- Published: 16 June 2016
MicroRNAs (miRNAs) are small non-coding RNAs frequently dysregulated in human malignant tumors. In the present study, we analyzed the role miR-155-3p plays in Hepatocellular carcinoma (HCC), which has been reported participation in some other types of cancer.
qRT-PCR was used to measure the levels of miR-155-3p in HCC specimens and HCC cell lines. Overexpression of miR-155-3p and miR-155-3p inhibitor were transfected into HCC cell lines to investigate its role in HCC. Colony formation assay and 3-(4, 5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium (MTT) assays were used to analyses cell proliferation in vitro. In vivo tumor formation assays were performed in BALB/c nude mice. Luciferase reporter assay was carried out to measure the translation of F-Box and WD repeat romain containing 7 (FBXW7).
We found that miR-155-3p was remarkably upregulated both in HCC tissue and cell lines. Overexpression of miR-155-3p enhanced HCC cell proliferation in vitro and tumorigenesis in vivo. In addition, overexpression of miR-155-3p is correlated with decreased levels FBXW7 mainly through inhibiting the expression of FBXW7.
Our studies suggest that miR-155-3p plays an important role in the pathogenesis of HCC and implicates its potential applications in the treatment of HCC cancer.
- Hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is one of most common malignant tumor worldwide and ranks third of mortality rate, with about 500,000 new cases annually . The major risk factors for HCC includes the presence of cirrhosis, Hepatitis B virus/hepatitis C virus (HBV/HCV) infection, and other factors, such as nonalcoholic steatohepatitis, are common in certain areas of the world . HCC is the second most common mortality factor of cancer and is characterized with late diagnosis, poor prognosis, as well as metastatic tendency and insensitivity to chemotherapy and radiotherapy . Previous studies found that the occurrence of liver cancer is a slow process with gradual changes that develop mainly as a result of chronic hepatitis and hepatic fibrosis. Those pathological processes suggest gene and protein expression alterations .
MicroRNAs (MIRs) are endogenous non-coding RNAs which contain 18 to 25 nucleotides and play important roles in regulating gene expression . The mature forms of MIRs silence the gene expression is binding to the 3’-untranslated region (UTR) of target mRNAs and initiate the translational repression or cleavage of cognate mRNAs [6, 7]. miRNAs have frequently been implicated in carcinogenesis [8–11]. In the setting of HCC, miR-222 , miR-21 , miR-106b  and miR-331-3p  have been reported to be tumor oncogene.
Among the known oncomirs, miR-155 stands out as an important entity. It is one of the most commonly up-regulated miRNAs in tumors . Furthermore, miR-155 has been reported as an oncomir in various human cancers, including colorectal , glioma , esophageal , liver , oral squamous  and lymphatic system . miR-155-5p and miR-155-3p, two different miRNA strands, produced from the miR-155 host gene produces,. The miR-155-5p has been considered as the only functional miR-155 form . Previous studies found that miR-155-3p is also strongly upregulated in T cells. Functional manipulation of miR-155-3p expression revealed its important role in regulating Th17 development. The search for miRNA-155-3p target genes highlighted transcripts of two heat shock protein 40 genes, Dnaja2 and Dnajb1 . Such exploration is likely to provide important information regarding the miR-155-3p signature and their target genes at a very early stage of liver tumorigenesis and their relationship to the miRNA signature of primary human HCC that can be used in the diagnosis and prognosis of liver cancer.
F-box and WD repeat domain containing 7 (FBXW7) protein encodes a substrate adaptor for an E3 SCF ubiquitin ligase complex and negatively regulates the abundance of different oncoproteins . Many observations indicate that FBXW7 lies at the nexus of many pathways include controlling cell growth, cell differentiation, and tumor genesis. FBXW7 gene is further supported as a human tumor suppressor by the discovery of FBXW7 gene mutations in cancers from a wide spectrum of human tissues . A recent study showed that colorectal cancer patients with low FBXW7 levels had poorer prognoses .
In this study, we aimed to investigate whether miR-155-3p is an oncomir in human HCC and identify the direct target correlated with the malignant phenotype of HCC. We demonstrated that miR-155-3p upregulating was a frequent event in HCC tissues and could be a potential targets for HCC patients. Furthermore, our findings also showed that ectopic expression of miR-155-3p could accelerate clone formation and proliferation ability of HCC cells. In addition, we further identified FBXW7 as a functional target of miR-155-3p and demonstrated FBXW7 involve in the effects of increased miR-155-3p on promoting clone formation and proliferation. Our data suggest a fundamental role for miR-155-3p in clone formation and HCC cells proliferation, and implicate the potential application of miR-155-3p in prognosis prediction therapy of liver cancer.
Patients and specimens
Hepatocellular carcinoma tumor tissues and normal liver tissues (para-cancerous tissues) were randomly collected from HCC patients who underwent curative resection with informed consent between 2012 and 2014 at the Department of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University. All tissues were collected immediately upon resection of the tumors in the operation theater, transported in liquid nitrogen, and then stored at -80 °C.We set the samples on the slide glass and microscopically recognized the malignantly transformed epithelial lesion by H&E staining, then cored out the epithelial lesion. Study protocols were approved by the Hospital Ethics Committee of Guilin Medical University, and written informed consent was obtained from patients based on the Declaration of Helsinki.
Total RNA was extracted using TRIzol Reagent (Invitrogen, Carlsbad, CA, USA). The miR-155-3p and U6 levels were quantified using qRT-PCR with the TaqMan® Micro-RNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA) and TaqMan® MicroRNA Assays (Applied Biosystems) according to the manufacturer’s instructions. We assessed the RNA expression according to relative quantification using the 2-ΔΔCt method to determine the fold change in the expression. The primers used for the expression analysis were as follows: GAPDH-forward, 5′-C TCATGACCACAGTCCATGC-3′: GAPDH-reverse, 5′- TTACTCCTTGGAGGCCATGT-3′: U6-forward, 5′- CTCGCTTCGGCAGCACA -3′: U6 - reverse, 5′- AACGCTTCACGAATTTGCGT 3′. FBXW7 - forward, 5′- GGG AGCACTTTGCTGAAATC-3′: FBXW7 - reverse, 5′- CAGCAGCCACTTCTTGAAAC -3′.
miR-155-3p levels were determined by two-step real time-PCR. Reverse transcription reaction was performed with specific microRNA primers. Real time PCR amplification was carried out with a Rotorgene 3000 machine (Corbett). Relative microRNA concentrations are given as the ratios between the amount of the target gene and the endogenous control U6.
The human HCC cell lines THLE-3, HepG2, Hep3B and SUN475 were obtained from RIKEN BioResource Center (Tsukuba, Japan) and maintained in Dulbecco’s Modified Eagle’s Medium (DMEM) with 10 % FBS, 2 mM L-glutamine and 100 U/ml of penicillin and streptomycin in a 6-cm dish. BEL-7405, BEL-7404 and BEL-7402 were obtained from the ATCC (Manassas, VA, USA) and maintained in Mc-Coy’s 5a Medium with 10 % FBS, 2 mM L-glutamine and 100 U/ml of penicillin and streptomycin and in Roswell Park Memorial Institute medium 1640 with 10 % FBS, 2 mM L-glutamine and 100 U/ml of penicillin and streptomycin.
Overexpression of miR-155-3p
Precursor- miR-155-3p was transfected into BEL-7405 using the BLOCK-iT™ Lentiviral miR RNAi Expression System (Invitrogen, Carlsbad, CA, USA) following the manufacturer’s protocol, as previously described. After transfection, we performed blasticidin selection at a concentration of 2.5 μg/ml for 10 days.
A total of 200nM of microRNA Hairpin Inhibitor and its negative control (Thermo Scientific Dharmacon, Lafayette, CO, USA) were employed to transiently inhibit miR-155-3p and transfected 48 h prior to seeding with Oligofectamine (Invitrogen).
Colony formation assay
A total of 1.0 × 105 cells were seeded in a layer of 0.4 % noble agar/DMEM/1 % FBS/0.5 μg/ml of puromycin or 0.4 % noble agar/DMEM/5 % FBS over a layer of 0.5 % bactoagar/DMEM/1 % or 5 % FBS in a 6 cm dish. The colonies were stained using 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide solution (Sigma-Aldrich, St. Louis, MO, USA) and counted.
Cell proliferation assay
Cells were seeded in 96-well plates in triplicate at densities of 1 × 103 per well. Cell proliferation was monitored at desired time points using 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) (Promega). In brief, the MTT assay was performed by adding 10 μl MTT (10 mg/ml) for 4 h. Light absorbance of the solution was measured at 570 nm on a microplate reader.
Analysis of the tumor-forming potential in vivo
All experiments were conducted in accordance with guidelines authorized by the Animal Research Committee of Guilin Medical University. Six-week-old BALB/c nude mice were injected subcutaneously into their flanks with 2 × 107 BEL-7405 mock or BEL-7405 miR-155-3p cells bilaterally in 200 μl of normal culture medium. All mice were sacrificed on day 28, and the tumor weight was measured.
SDS-PAGE and immunoblotting were carried out as described elsewhere . Briefly, filters were incubated with rabbit polyclonal antibodies against FBXW7, mouse monoclonal antibodies against β-actin (1:2,000 dilution, Abcam, Cambridge, UK).
Luciferase reporter assay
To investigate the translation of FBXW7, luciferase reporter assay was carried out as described . The wild-type or mutant FBXW7 3’-UTR sequence was inserted downstream of the firefly luciferase reporter gene, which was controlled by the SV40 enhancer for expression in mammalian cells, whereas no oligonucleotides were inserted in the control vector (Genecopoeia, Rockville, MD, USA). Renilla luciferase was used as a tracking indicator for successful transfection. In order to investigate the transcription of FBXW7, luciferase reporter constructs for the promoters of these molecules and a positive control of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were obtained (SwitchGear Genomics, Menlo Park, CA, USA). The luciferase activity was measured using Light- Switch Assay Reagent (SwitchGear Genomics) according to the manufacturer’s instructions. Briefly, 1.0 to 1.5 × 104 cells were seeded in white 96–well plates on day 1 and transfected with reporter constructs on day 2 using FuGENE HD (Promega). The luciferase activity was measured using assay reagent 48 h after transfection.
Overexpression of FBXW7
FBXW7 lentiviruse (Sigma-Aldrich) was transfected into BEL-7405-miR-155-3p cells in 48-well plates according to the manufacturer’s instructions. The multiplicity of infection (MOI, number of transducing lentiviral particles per cell) was 5. We performed puromycin selection at a concentration of o.5 μg/ml for 10 days.
RNA interference for FBXW7
One siRNA lentiviruse against FBXW7 (Sigma-Aldrich) and non-targeting siRNA (Sigma-Aldrich) were transfected into HepG2-Anti-miR-155-3p cells in 48-well plates according to the manufacturer’s instructions. The multiplicity of infection (MOI, number of transducing lentiviral particles per cell) was 5. We performed puromycin selection at a concentration of 0.5 μg/ml for 10 days.
Formalin-fixed, paraffin-embedded tissues were used to detect the FBXW7 expression. The sections were incubated with anti-FBXW7 rabbit polyclonal antibodies (Abcam, Cambridge, UK) at 1:300 dilution. A semi-quantitative scoring system was used to evaluate the intensity of staining: low (proportion: 0 to 50 %, intensity: no staining to weak) and high (proportion: more than 50 %, intensity: intermediate to strong).
RNeasy Lipid Tissue Mini kit (Qiagen) was used to isolate total RNA from the different cells according to the manufacturer’s protocol and RNA were stored in liquid N2 at -80 °C until further processing. The quantity and quality of RNA were assessed using a NanoDrop ND-1000 spectrophotometer and an Agilent Bioanalyzer and samples with an RNA Integrity number (RIN) > 7 were only used for further analysis. For microarray hybridizations, 100 ng of total RNA was amplified and labeled using the MessageAmp Premier Kit (Ambion). Equal amounts of labeled cRNA were hybridized to the Affymetrix Genome 2.0 microarray (Affymetrix) according to the manufacturer’s protocol. Partek Genomics Suite 6.4 (Partek Inc., St. Louis, MO) was used to perform data analysis. Robust multi-chip analysis (RMA) normalization was done on the entire data set. Multi-way ANOVA and fold change were performed to select target genes that were differentially expressed between the different comparisons. Top differentially expressed genes were selected with p value cut-off of 0.05 based on ANOVA test and fold change cut-off of ≥ 2. Gene Ontology Enrichment analysis on the gene lists were performed with chi-square test and limited to functional groups with more than two genes. Hierarchical Clustering was performed on differentially expressed genes based on Average Linkage with Pearson’s Dissimilarity. Additionally, the gene lists were analyzed using the GeneGo software for obtaining pathway maps, biological networks and diseases relevant to the list.
The data are presented as the mean ± SEM. The unpaired two-tailed Student’s t-test, Mann-Whitney’s Utest and Chi-square test were used for comparisons, with a p value of < 0.05 considered to be significant (*).
Elevated expression of miR-155-3p in human hepatocellular carcinoma tissues and cell lines
The overexpression of miR-155-3p in BEL-7405 cells enhances tumorigenesis in vitro and in vivo
Inhibition of miR-155-3p in HepG2 cells reduces tumorigenesis in vitro and in vivo
MiR-155-3p reduces the protein levels of FBXW7 by inhibiting translation
FBXW7 is responsible for clone formation and proliferation ability of BEL-7405 cells and HepG2 cells
Increasing data has indicated miRNAs to be critical regulators in cancer-related processes , it’s still largely unknowing the molecular mechanisms by which miRNAs modulate the behavior of cancer cells. Here we demonstrated that upregulation of miR-155-3p was common in HCC tissues and could serve as an independent prognosis predictor for HCC patients. Furthermore, our findings also showed that ectopic expression of miR-155-3p could accelerate clone formation and proliferation ability in HCC cells. In addition, we further identified FBXW7 as a functional target of miR-155-3p and demonstrated an involvement of FBXW7 in the effects of increased miR-155-3p on promoting clone formation and proliferation. Our data suggest that miR-155-3p may play a fundamental role for in clone formation and proliferation of HCC cells, and implicate the potential application of miR-155-3p in cancer prognosis prediction and therapy.
Clone formation and proliferation are major cellular processes that must be circumvented to prevent malignant tumor progression . Upregulation of miR-155-3p may enhance the clone formation and proliferation of a variety of cancer cells, and in turn, stimulate the development of tumors. In this study, we employed BEL-7405 and HepG2 cells to explore how miR-155-3p exerts its function and modulates the clone formation and proliferation of HCC cells. Our findings show that ectopic expression of miR-155-3p in HCC cells could facilitate clone formation and proliferation, and upregulation of miR-155-3p can promote clone formation and proliferation in HCC cells. Furthermore, our data in 45 paired HCC tissues showed that the expression of miR-155-3p was significantly elevated in cancerous tissues compared with juxta cancerous tissues, revealing a clear correlation between miR-155-3p expression and HCC malignancy. Together with the in vitro findings showing that increased miR-155-3p promotes clone formation and proliferation in HCC cell lines, these results further confirmed the roles of miR-155-3p in clone formation and proliferation of HCC cells.
We used the microarray, miRNA target prediction program and a luciferase report assay to demonstrate that miR-155-3p directly down regulates FBXW7 by binding its 3’-UTR. Furthermore, ectopic expression of miR-155-3p resulted in downregulated expression of endogenous FBXW7 protein and mRNA, while targeted knockdown of miR-155-3p increased the expression of FBXW7 protein and mRNA. In addition, we observed significant inverse correlations between miR-155-3p and FBXW7 expression levels in vivo, which supports the regulation of miR-155-3p on FBXW7 observed in vitro. In conclusion, FBXW7 is a direct target of miR-155-3p.
In the current study, we investigated the potential role of miR-155-3p in HCC tumor progression and its underlying mechanisms. We herein demonstrated that miR-155-3p promotes HCC tumorigenesis via reducing the expression of FBXW7 by inhibiting translation. Our results suggest that upregulation of miR-155-3p may play an essential role in the development of HCC and may be employed as a prognosis marker and therapeutic target of HCC. Nevertheless, these data should be further validated in independent cohorts and prospective trials.
DMEM, Dulbecco’s Modified Eagle’s Medium; FBXW7, F-box and WD repeat domain containing 7; HBV/HCV, hepatitis B virus/hepatitis C virus; HCC, hepatocellular carcinoma; MiRNAs, microRNAs; MTT, 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium; NASH, nonalcoholic steatohepatitis; UTR, untranslated region
We wish to particularly acknowledge the patients enrolled in this study for their participation, and the Department of Pathology and Physiopathology, Guilin Medical University, for its collaboration in providing the human samples and the clinical information used in this project with appropriate ethics approval.
SQH conceived and designed the experiments. BT, BL, GYQ and XSL performed the experiments. FT, SGY, ZRW, SPY and XJ analyzed the data. SQH supervised the whole experimental work and revised the manuscript. BT, BL and GYQ wrote the paper. All authors read and approved the manuscript.
The authors declare that they have no competing interests.
This research was supported in part by The National Natural Science Foundation of China (No. 81360367, No. 81160066 and No. 30870719); Scientific Research Foundation for Returned Scholars, Ministry of Education of China (jyb2010-01); Major Project of Science Research of Guangxi Universities (2013ZD046); The Natural Science Foundation of Guangxi (2014GXNSFBA118162); Special Project of Traditional Chinese Medicine of Guangxi Health Department (GZPT13-45); Guangxi Distinguished Experts Special Fund; Project supported by the Guangxi culture of new century academic and technical leader of special funds.
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- Tang B, Li Y, Zhao L, Yuan S, Wang Z, Li B, Chen Q. Stable isotope dimethyl labeling combined with LTQ mass spectrometric detection, a quantitative proteomics technology used in liver cancer research. Biomed Rep. 2013;1:549–54.PubMedPubMed CentralGoogle Scholar
- Shariff MI, Cox IJ, Gomaa AI, Khan SA, Gedroyc W, Taylor-Robinson SD. Hepatocellular carcinoma: current trends in worldwide epidemiology, risk factors, diagnosis and therapeutics. Expert Rev Gastroenterol Hepatol. 2009;3:353–67.View ArticlePubMedGoogle Scholar
- Dhanasekaran R, Limaye A, Cabrera R. Hepatocellular carcinoma: current trends in worldwide epidemiology, risk factors, diagnosis, and therapeutics. Hepat Med. 2012;4:19–37.PubMedPubMed CentralGoogle Scholar
- Wang XW, Hussain SP, Huo TI, Wu CG, Forgues M, Hofseth LJ, Brechot C, Harris CC. Molecular pathogenesis of human hepatocellular carcinoma. Toxicology. 2002;181–182:43–7.View ArticlePubMedGoogle Scholar
- Chen Z, Ma T, Huang C, Hu T, Li J. The pivotal role of microRNA-155 in the control of cancer. J Cell Physiol. 2014;229:545–50.View ArticlePubMedGoogle Scholar
- Shukla GC, Singh J, Barik S. MicroRNAs: processing, maturation, target recognition and regulatory functions. Mol Cell Pharmacol. 2011;3:83–92.PubMedPubMed CentralGoogle Scholar
- Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136:215–33.View ArticlePubMedPubMed CentralGoogle Scholar
- Leitao Mda C, Coimbra EC, Lima Rde C, Guimaraes Mde L, Heraclio Sde A, Silva Neto Jda C, de Freitas AC. Quantifying mRNA and MicroRNA with qPCR in cervical carcinogenesis: a validation of reference genes to ensure accurate data. PLoS One. 2014;9:e111021.View ArticlePubMedGoogle Scholar
- Zhao ZG, Jin JY, Zhang AM, Zhang LP, Wang XX, Sun JG, Chen ZT. MicroRNA profile of tumorigenic cells during carcinogenesis of lung adenocarcinoma. J Cell Biochem. 2014;116(3):458–66.View ArticleGoogle Scholar
- Zhu M, Zhang N, He S. Similarly up-regulated microRNA-106a in matched formalin-fixed paraffin-embedded and fresh frozen samples and the dynamic changes during gastric carcinogenesis and development. Pathol Res Pract. 2014;210:909–15.View ArticlePubMedGoogle Scholar
- Han TS, Hur K, Xu G, Choi B, Okugawa Y, Toiyama Y, Oshima H, Oshima M, Lee HJ, Kim VN, et al. MicroRNA-29c mediates initiation of gastric carcinogenesis by directly targeting ITGB1. Gut. 2014;64(2):203–14.View ArticlePubMedPubMed CentralGoogle Scholar
- Shen WJ, Dong R, Chen G, Zheng S. microRNA-222 modulates liver fibrosis in a murine model of biliary atresia. Biochem Biophys Res Commun. 2014;446:155–9.View ArticlePubMedGoogle Scholar
- Zhou L, Yang ZX, Song WJ, Li QJ, Yang F, Wang DS, Zhang N, Dou KF. MicroRNA-21 regulates the migration and invasion of a stem-like population in hepatocellular carcinoma. Int J Oncol. 2013;43:661–9.PubMedGoogle Scholar
- Li BK, Huang PZ, Qiu JL, Liao YD, Hong J, Yuan YF. Upregulation of microRNA-106b is associated with poor prognosis in hepatocellular carcinoma. Diagn Pathol. 2014;9:226.View ArticlePubMedPubMed CentralGoogle Scholar
- Chang RM, Yang H, Fang F, Xu JF, Yang LY. MicroRNA-331-3p promotes proliferation and metastasis of hepatocellular carcinoma by targeting PH domain and leucine-rich repeat protein phosphatase. Hepatology. 2014;60:1251–63.View ArticlePubMedGoogle Scholar
- Higgs G, Slack F. The multiple roles of microRNA-155 in oncogenesis. J Clin Bioinforma. 2013;3:17.View ArticlePubMedPubMed CentralGoogle Scholar
- Lv Z, Fan Y, Chen H, Zhao D. Investigation of microRNA-155 as a serum diagnostic and prognostic biomarker for colorectal cancer. Tumour Biol. 2014;36:1619–25.View ArticlePubMedGoogle Scholar
- Ma X, Ma C, Zheng X. MicroRNA-155 in the pathogenesis of atherosclerosis: a conflicting role? Heart Lung Circ. 2013;22:811–8.View ArticlePubMedGoogle Scholar
- Zhang J, Cheng C, Yuan X, He JT, Pan QH, Sun FY. microRNA-155 acts as an oncogene by targeting the tumor protein 53-induced nuclear protein 1 in esophageal squamous cell carcinoma. Int J Clin Exp Pathol. 2014;7:602–10.PubMedPubMed CentralGoogle Scholar
- Wang B, Majumder S, Nuovo G, Kutay H, Volinia S, Patel T, Schmittgen TD, Croce C, Ghoshal K, 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. 2009;50:1152–61.View ArticlePubMedPubMed CentralGoogle Scholar
- Shi LJ, Zhang CY, Zhou ZT, Ma JY, Liu Y, Bao ZX, Jiang WW. MicroRNA-155 in oral squamous cell carcinoma: Overexpression, localization, and prognostic potential. Head Neck. 2014;37:970–6.View ArticlePubMedGoogle Scholar
- Tuo J, Shen D, Yang HH, Chan CC. Distinct microRNA-155 expression in the vitreous of patients with primary vitreoretinal lymphoma and uveitis. Am J Ophthalmol. 2014;157:728–34.View ArticlePubMedGoogle Scholar
- Yim RL, Wong KY, Kwong YL, Loong F, Leung CY, Chu R, Lam WW, Hui PK, Lai R, Chim CS. Methylation of miR-155-3p in mantle cell lymphoma and other non-Hodgkin’s lymphomas. Oncotarget. 2014;5:9770–82.View ArticlePubMedPubMed CentralGoogle Scholar
- Mycko MP, Cichalewska M, Cwiklinska H, Selmaj KW. miR-155-3p drives the development of autoimmune demyelination by regulation of heat shock protein 40. J Neurosci. 2015;35:16504–15.View ArticlePubMedGoogle Scholar
- Wang X, Zhang J, Zhou L, Sun W, Zheng ZG, Lu P, Gao Y, Yang XS, Zhang ZC, Tao KS, Dou KF. Fbxw7 regulates hepatocellular carcinoma migration and invasion via Notch1 signaling pathway. Int J Oncol. 2015;47:231–43.PubMedGoogle Scholar
- Roversi G, Picinelli C, Bestetti I, Crippa M, Perotti D, Ciceri S, Saccheri F, Collini P, Poliani PL, Catania S, et al. Constitutional de novo deletion of the FBXW7 gene in a patient with focal segmental glomerulosclerosis and multiple primitive tumors. Sci Rep. 2015;5:15454.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhan P, Wang Y, Zhao S, Liu C, Wang Y, Wen M, Mao JH, Wei G, Zhang P. FBXW7 negatively regulates ENO1 expression and function in colorectal cancer. Lab Invest. 2015;95:995–1004.View ArticlePubMedGoogle Scholar
- Wang Y, Wen M, Kwon Y, Xu Y, Liu Y, Zhang P, He X, Wang Q, Huang Y, Jen KY, et al. CUL4A induces epithelial-mesenchymal transition and promotes cancer metastasis by regulating ZEB1 expression. Cancer Res. 2014;74:520–31.View ArticlePubMedGoogle Scholar
- Wang Y, Ma G, Wang Q, Wen M, Xu Y, He X, Zhang P, Wang Y, Yang T, Zhan P, Wei G. Involvement of CUL4A in regulation of multidrug resistance to P-gp substrate drugs in breast cancer cells. Molecules. 2013;19:159–76.View ArticlePubMedGoogle Scholar
- Choi EJ, Kim HB, Baek YH, Kim EH, Pascua PN, Park SJ, Kwon HI, Lim GJ, Kim S, Kim YI, Choi YK. Differential microRNA expression following infection with a mouse-adapted, highly virulent avian H5N2 virus. BMC Microbiol. 2014;14:252.View ArticlePubMedPubMed CentralGoogle Scholar
- Wang Y, Zhang P, Liu Z, Wang Q, Wen M, Wang Y, Yuan H, Mao JH, Wei G. CUL4A overexpression enhances lung tumor growth and sensitizes lung cancer cells to erlotinib via transcriptional regulation of EGFR. Mol Cancer. 2014;13:252.View ArticlePubMedPubMed CentralGoogle Scholar