Literature DB >> 29399149

MicroRNA-9 enhances sensitivity to cetuximab in epithelial phenotype hepatocellular carcinoma cells through regulation of the eukaryotic translation initiation factor 5A-2.

Fei Xue1, Yuntian Liang1, Zhenrong Li1, Yanhui Liu2, Hongwei Zhang1, Yu Wen1, Lei Yan1, Qiang Tang1, Erhui Xiao1, Dongyi Zhang1.   

Abstract

Hepatocellular carcinoma (HCC) is one of the most widespread malignant human tumors worldwide. Treatment options include radiotherapy, surgical intervention and chemotherapy; however, drug resistance is an ongoing treatment concern. In the present study, the effects of a microRNA (miR/miRNA), miR-9, on the sensitivity of HCC cell lines to the epidermal growth factor receptor inhibitor, cetuximab, were examined. miR-9 has been proposed to serve a role in tumorigenesis and tumor progression. In the present study, bioinformatics analyses identified the eukaryotic translation initiation factor 5A2 (eIF-5A-2) as a target of miR-9. The expression levels of miR-9 and eIF-5A-2 were examined by reverse transcription-quantitative polymerase chain reaction and HCC cell lines were transfected with miR-9 mimics and inhibitors to determine the effects of the miRNA on cell proliferation and viability. The miR-9 mimic was revealed to significantly increase the sensitivity of epithelial phenotype HCC cells (Hep3B and Huh7) to cetuximab, while the miR-9 inhibitor triggered the opposite effect. There were no significant differences in sensitivity to cetuximab observed in mesenchymal phenotype HCC cells (SNU387 and SNU449). Cells lines displaying high expression levels of eIF-5A-2 were more resistant to cetuximab. Transfection of cells with a miR-9 mimic resulted in downregulation of the expression of eIF-5A-2 mRNA, while an miR-9 inhibitor increased expression. When expression of eIF-5A-2 was knocked down with siRNA, the effects of miR-9 on cetuximab sensitivity were no longer observed. Taken together, these data support a role for miR-9 in enhancing the sensitivity of epithelial phenotype HCC cells to cetuximab through regulation of eIF-5A-2.

Entities:  

Keywords:  cetuximab; drug resistance; eukaryotic translation initiation factor 5A-2; hepatocellular carcinoma; microRNA-9

Year:  2017        PMID: 29399149      PMCID: PMC5772877          DOI: 10.3892/ol.2017.7399

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Hepatocellular carcinoma (HCC) is one of the most common primary malignancies of the liver, the third leading cause of cancer-associated mortalities after stomach and lung cancer, and the sixth most common neoplasm worldwide (1,2). Current treatments for HCC include chemotherapy, radiotherapy and surgical intervention. However, drug resistance is a growing concern as a result of the increased application of chemotherapeutics (3). Determining the molecular mechanisms underlying drug resistance in HCC cells is therefore imperative. MicroRNAs (miRNAs/miRs) are small, non-coding RNAs that modulate post-transcriptional gene expression by binding to the 3′-untranslated region (3′-UTR) of target mRNAs, in addition to being involved in the regulation of essential cellular processes, including proliferation, diversification, metastasis and apoptosis, particularly in cancer development and progression (4–6). Aberrant miRNA expression has demonstrated potential as a prognostic or diagnostic marker in various types of cancer, including breast, non-small cell lung and colon cancer (7–10). The expression levels of miRNAs reflect the developmental lineage and differentiation state of tumors (11). Studies have demonstrated that miR-185 suppresses cell growth and epithelial-mesenchymal transition progression by targeting Six2, providing a novel target for the molecular treatment of liver malignancies (12). It has been demonstrated that a loss of miR-211 expression, and consequently uncontrolled secreted protein, acidic and rich in cysteine overexpression, may drive progression of HCC (13). Previous studies have indicated that the levels of miR-9 are downregulated in certain types of cancer, such as ovarian cancer, gastric cancer and neuroblastoma (14–17); however, it has also been revealed that the expression of miR-9 is upregulated in colorectal, breast, lung and laryngeal squamous cell cancer types (18–22). Other studies have indicated that miR-9 may serve a major role in tumor progression and tumorigenesis (23). The eukaryotic translation initiation factor 5A-2 (eIF-5A-2), located at 3q26, is one of the most frequently observed chromosomal alterations in ovarian carcinoma (24). Overexpression of eIF-5A-2 has also been observed in other solid tumors and has been defined as an adverse prognostic marker in HCC (25), ovarian carcinoma (26), bladder carcinoma (27) and non-small cell lung cancer (28), and as a metastasis-promoting factor in HCC (29) and colorectal carcinoma (30). In the present study, an miRNA target prediction website, TargetScan (www.targetscan.org), was used to identify potential targets of miR-9. The 3′UTR of eIF-5A-2 was identified as a potential target, and examination of the sequence of the 3′UTR of eIF-5A-2 identified multiple potential sites for interaction with miR-9. The mechanisms underlying the role of miR-9 in the regulation of HCC cells have not been characterized. We hypothesized that miR-9 may affect the expression of eIF-5A-2 and, furthermore, may regulate the sensitivity of epithelial HCC cells to cetuximab. The present study investigated the effects of miR-9/eIF-5A-2-regulated cetuximab sensitivity in HCC cell lines and monitored the expression of miR-9 and eIF-5A-2 mRNA. We aimed to investigate whether or not miR-9, through regulating the expression of eIF-5A-2, may affect the sensitivity of HCC cells with an epithelial phenotype to cetuximab.

Materials and methods

Cell culture

Human HCC cell lines (Hep3B, Huh7, SNU387 and SNU449) were obtained from American Type Culture Collection (ATCC; Manassas, VA, USA). Huh7 cells (epithelial phenotype HCC) were maintained in Dulbecco's modified Eagle's medium containing 10% fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) and 1% penicillin/streptomycin (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany). SNU387 and SNU449 cells (mesenchymal phenotype HCC) were cultured in RPMI-1640 medium (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS and 1% penicillin/streptomycin. Hep3B cells (epithelial phenotype HCC) were cultured in minimum essential medium (MEM; Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS and 1% penicillin/streptomycin. All cells were maintained under 5% CO2 at 37°C in a humidified incubator. Cetuximab and the miR-9 mimic and inhibitor were all purchased from Guangzhou RiboBio Co., Ltd. (Guangzhou, China). The eIF-5A-2 siRNA and negative control siRNA were designed by and purchased from Santa Cruz Biotechnology, Inc. (Dallas, TX, USA). Furthermore, TargetScan (www.targetscan.org) was to predict the associated miRNAs for eIF-5A-2. Briefly, we opened TargetScan was opened and the human species chosen. The gene symbol eIF-5A-2 was searched to obtain the predicted associated miRNAs.

siRNA transfections

HCC cell lines were transfected with eIF-5A-2 siRNA (100 nM; Santa Cruz Biotechnology, Inc.; forward, 5′-TATGCAGTGCTCGGCCTTG-3′ and reverse, 5′-TTGGAACATCCATGTTGTGAGTAGA-3′) or a negative control siRNA using Lipofectamine 2000 (Thermo Fisher Scientific, Inc.) according to the manufacturer's protocols. The transfection medium (Opti-MEM; Gibco; Thermo Fisher Scientific, Inc.) was replaced with complete medium (Gibco; Thermo Fisher Scientific, Inc.) 6 h after transfection, and the cells were incubated at 37°C for 24 h. All treatments were initiated 24 h after transfection.

Cell viability assay

HCC cell lines or siRNA-transfected HCC cell lines were seeded onto 96-well plates at a density of 5×103 cells/well. The medium was replaced with the corresponding serum-free medium for 24 h to synchronize the cells, prior to the culture medium being replaced with complete medium containing the drug at the indicated concentrations (Cetuximab: Hep3B, 2,229 µg/ml; Huh7, 2,564 µg/ml; SNU387, 3,182 µg/ml; SNU449, 2,450 µg/ml) for 48 h at 37°C. Following treatment, 10 µl Cell Counting kit-8 solution was added and the cells were incubated at 37°C for a further 3 h. Subsequently, absorbance at 450 nm was measured using an MRX II microplate reader (Dynex Technologies, Inc., Chantilly, VA, USA). Relative cell viability was calculated as a percentage of the untreated controls.

Western blot analysis

To extract proteins after 48 h of treatment, cell lysis buffer (Cell Signaling Technology, Inc., Danvers, MA, USA) containing protease inhibitors (Sigma-Aldrich; Merck KGaA) was added to harvested HCC cells in an ice bath. Cells were centrifuged at 12,000 × g for 5 min at 4°C following the lysis. The supernatant was collected and the protein concentration was measured with a bicinchoninic acid protein assay kit (Sigma-Aldrich; Merck KGaA). The protein samples (40 µg/lane) were separated by 10% SDS-PAGE and transferred to polyvinylidene difluoride membranes (EMD Millipore, Billerica, MA, USA). Membranes were blocked with Tris-buffered saline and 0.1% Tween 20 (TBST) containing 5% bovine serum albumin at 37°C for 2 h, and incubated overnight at 4°C with the eIF-5A-2 primary antibody (Abcam, Cambridge, MA, USA; ab150439; diluted 1:1,000 in TBST). The membranes were washed 3 times with TBST and were incubated with a horseradish peroxidase-conjugated secondary antibody (Abcam; ab97051; 1:2,000) for 2 h at room temperature. The protein bands were detected using an enhanced chemiluminescence kit (GE Healthcare Life Sciences, Little Chalfont, UK). Bands were quantified by densitometry using Image Lab version 5.0 (Bio-Rad Laboratories, Inc., Hercules, CA, USA) and GAPDH (Cell Signaling Technology, Inc.; cat no. 5174S; diluted 1:2,000 in TBST) was used as an internal control.

5-ethynyl-2′-deoxyuridine (EdU) incorporation assay

HCC cell lines were seeded onto 96-well plates at a density of 5×103 cells/well in their respective growth medium. The medium was replaced with the corresponding serum-free medium to synchronize the cells. After 24 h, the serum-free medium was replaced with growth medium containing drugs at the aforementioned concentrations (Cetuximab: Hep3B, 2,229 µg/ml; Huh7, 2,564 µg/ml; SNU387, 3,182 µg/ml; SNU449, 2,450 µg/ml) for 48 h. Cell proliferation was assessed through an EdU assay using the Click-iTEdU Imaging kit (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA) according to the manufacturer's protocols, and cells were counterstained with 100 µl Hoechst 3342 at room temperature for 30 min in the dark.

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

Total RNA was extracted from Hep3B, Huh7, SNU387 and SUN449 cells using TRIzol reagent (Invitrogen; Carlsbad, CA, USA) and reverse transcribed into cDNA using Prime Script reagent RT kit (Takara Biotechnology, Co., Ltd., Dalian, China) and the following thermocycling conditions: 42°C for 2 min, 15 min at 37°C and 5 sec at 85°C. Expression of eIF-5A-2 mRNA was normalized to U6 and relative quantification was performed using the comparative 2−ΔΔCt method (31). SYBR Green PCR (Takara Biotechnology, Co., Ltd., Dalian, China) was performed at 95°C for 30 sec, followed by 40 cycles of denaturation at 95°C for 5 sec and annealing at 60°C for 30 sec. All reactions were performed in triplicate. The primers were as follows: eIF-5A-2 forward, 5′-TATGCAGTGCTCGGCCTTG-3′, and reverse, 5′-TTGGAACATCCATGTTGTGAGTAGA-3′; and miR-9, 5′-TCTTTGGTTATCTAGCTGTATGA-3′. Negative control: Sense, 5′-UUCUCCGAACGUGUCACGUTT-3′ and antisense, 5′-ACGUGACACGUUCGGAGAATT-3′.

Statistical analysis

Data are presented as the mean ± standard deviation. Statistical analysis was performed using GraphPad Prism 5 software (GraphPad Software, Inc., La Jolla, CA, USA). Comparisons between 2 independent groups were performed using Student's t-test P<0.05 was considered to indicate a statistically significant difference.

Results

miR-9 regulates the sensitivity of HCC cells with an epithelial phenotype to cetuximab

To assess whether miR-9 acted in a synergistic or antagonistic manner with cetuximab, HCC cell lines were treated with cetuximab alone, or cetuximab with an miR-9 mimic or inhibitor for 48 h. A CCK-8 assay was then used to assess the cytotoxicity of cetuximab. As demonstrated in Fig. 1A and B, compared with cetuximab treatment alone, the addition of a miR-9 mimic significantly increased the sensitivity to cetuximab, while the addition of a miR-9 inhibitor significantly decreased the sensitivity of epithelial phenotype HCC cells (Hep3B and Huh7). In the mesenchymal phenotype HCC SNU387 and SNU449 cells, no significant differences were observed among the groups (Fig. 1C and D). EdU incorporation assays were also performed to determine the effects on proliferation of each treatment condition. The results revealed that the proliferation of HCC cells (Fig. 1E and F) was significantly reduced following treatment with cetuximab plus the miR-9 mimic and significantly increased following treatment with cetuximab plus the miR-9 inhibitor in the Hep3B and Huh7 cells. No significant differences were observed between the 2 groups in the mesenchymal phenotype HCC cells (Fig. 1G and H). Taken together, these results demonstrate that miR-9 may enhance the sensitivity of epithelial phenotype HCC cells to cetuximab.
Figure 1.

Overexpression of miR-9 enhances sensitivity of epithelial HCC cells to cetuximab. (A-D) Viability of HCC cells treated with cetuximab in the presence of a miR-9 mimic or inhibitor. (E-H) Photomicrographs and bar charts depicting EdU staining and relative EdU-positive ratios, respectively, of HCC cells following treatment with cetuximab, with cetuximab plus a miR-9 mimic or with cetuximab plus miR-9 inhibitor for 48 h. *P<0.05, **P<0.01 vs. control, Hep3B: PmiR-9 mimic+Cet=0.0025, PmiR-9 inhibitor+Cet=0.0295, Huh7: PmiR-9 mimic+Cet=0.0356, PmiR-9 inhibitor+Cet=0.0480. All experiments were performed ≥3 times. miR-9, microRNA-9; HCC, hepatocellular carcinoma; EdU, 5-ethynyl-2′-deoxyuridine; Cet, cetuximab.

miR-9 regulates the expression of eIF-5A-2

Bioinformatics analysis using Targetscan software suggested that eIF-5A-2 was a target gene of miR-9 (Fig. 2A). RT-qPCR was used to determine the miR-9 and eIF-5A-2 mRNA expression in HCC cell lines (Fig. 2B). Mesenchymal phenotype SNU387 and SNU449 cell lines were revealed to exhibit higher miR-9 expression than the epithelial phenotype Hep3B and Huh7 cell lines. The expression of eIF-5A-2 was negatively associated with the expression of miR-9 in the HCC cells. RT-qPCR was then performed to evaluate the effects of miR-9 on the expression of eIF-5A-2 mRNA. eIF-5A-2 mRNA expression was markedly decreased when HCC cells were transfected with the miR-9 mimic, compared with that in cells transfected with the negative control mimic. By contrast, transfection with an miR-9 inhibitor enhanced the expression of eIF-5A-2 mRNA (Fig. 2C). RT-qPCR was used to determine the expression of miR-9 following treatment with an miR-9 mimic or inhibitor, the results demonstrated that miR-9 expression was increased after transfection with miR-9 mimic and was decreased after transfected with miR-9 inhibitor compared with the control (Fig. 2D). Western blot analysis demonstrated downregulation of eIF-5A-2 in miR-9 mimic-transfected HCC cells and upregulation of eIF-5A-2 in miR-9 inhibitor-transfected HCC cells (Fig. 2E).
Figure 2.

miR-9 modulates expression of eIF-5A-2 in HCC cell lines. (A) miR-9 target site in eIF-5A-2 predicted by TargetScan. (B) Expression of miR-9 and eIF-5A-2 mRNA in HCC cells as determined by RT-qPCR. *P<0.05, **P<0.01, ***P<0.001 vs. Huh7; #P<0.05, ##P<0.01 vs. Hep3B. (C) eIF-5A-2 expression in HCC cells following treatment with a miR-9 mimic or inhibitor as determined by RT-qPCR. **P<0.01, ***P<0.001 vs. the control. (D) Expression levels of miR-9 following treatment with a miR-9 mimic or inhibitor as determined by RT-qPCR. *P<0.05, **P<0.01, ***P<0.001 vs. the control (E) Western blot analysis was used to detect eIF-5A-2 expression in the various HCC cell lines in the presence of the miR-9 mimic, inhibitor and control. *P<0.05 vs. negative siRNA. miR-9, microRNA-9; eIF-5A-2; eukaryotic translation initiation factor 5A-2; HCC, hepatocellular carcinoma; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; miRNA, microRNA; UTR, untranslated region.

Knockdown of eIF-5A-2 enhances cetuximab sensitivity in epithelial phenotype HCC cells

To determine whether altered expression of eIF-5A-2 may affect the sensitivity of HCC cells to cetuximab, eIF-5A-2 siRNA or a negative control siRNA were transfected into the HCC cell lines. Western blot analysis was used to examine the knockdown efficiency (Fig. 3A). A CCK-8 assay was then used to measure cell viability following treatment with cetuximab. It was revealed that knockdown of eIF-5A-2 significantly improved cetuximab-induced growth inhibition in epithelial HCC cells (Fig. 3B and C), but had no significant effect on mesenchymal HCC cells (Fig. 3D and E). These data suggest that eIF-5A-2 is involved in the sensitivity of epithelial HCC cells to cetuximab.
Figure 3.

Sensitivity of HCC cell lines to cetuximab. (A) Western blot analysis of eIF-5A-2 expression in eIF-5A-2 siRNA-transfected cells. GAPDH served as a loading control. Knockdown of eIF-5A-2 enhanced the sensitivity of the epithelial phenotype HCC cells, (B) Hep3B and (C) Huh7, to cetuximab, but had no significant effect on the mesenchymal phenotype HCC cells, (D) SNU387 and (E) SNU449. *P<0.05 vs. negative siRNA. HCC, hepatocellular carcinoma; eIF-5A-2; eukaryotic translation initiation factor 5A-2; siRNA, small interfering RNA.

miR-9 regulates the sensitivity of epithelial phenotype HCC cells to cetuximab through eIF-5A-2

In order to determine whether or not miR-9 enhanced the sensitivity of epithelial HCC cells to cetuximab through regulation of eIF-5A-2, HCC cells were transfected with eIF-5A-2 siRNA and the viability of HCC cell lines treated with cetuximab alone, with cetuximab plus a miR-9 mimic or with cetuximab plus a miR-9 inhibitor, for 48 h was measured. The results demonstrated that silencing of eIF-5A-2 resulted in no significant differences in the viability of cells treated with cetuximab with or without a miR-9 mimic or an inhibitor (Fig. 4A-D). Therefore, we hypothesized that miR-9 increased the sensitivity of these cells to cetuximab through the regulation of eIF-5A-2.
Figure 4.

Cytotoxicity of cetuximab or cetuximab plus an miR-9 mimic or inhibitor in hepatocellular carcinoma cell lines, (A) Huh7, (B) Hep3B, (C) SNU387 and (D) SNU449, treated with eIF-5A-2 siRNA. miR-9, microRNA-9.

Discussion

miRNAs are a family of small interfering RNAs that modulate gene expression in a sequence-specific manner (32). miRNAs have been revealed to serve critical roles in cell growth, differentiation, apoptosis and drug resistance (32). Several studies have demonstrated that upregulation of miR-9 expression is associated with enhanced tumor cell invasion and a poor prognosis (33,34). These studies support a role for miR-9 as an oncogene in these tumor types. Notably, miR-9 has also been reported as a tumor suppressor in various human cancer types. These studies have demonstrated that miR-9 may inhibit cancer cell proliferation. Taken together, these data indicate that miR-9 may act either as an oncogene or as a tumor suppressor. In the present study, the effects of miR-9 on HCC cells were examined and miR-9 overexpression was revealed to inhibit HCC cell proliferation. A CCK-8 assay was used to determine the effect of miR-9 on cell viability following treatment with cetuximab. An miR-9 mimic significantly increased the sensitivity of epithelial phenotype HCC cells to cetuximab, while an miR-9 inhibitor significantly decreased cetuximab sensitivity in these cells. eIF-5A-2 serves important roles in cell proliferation, metastasis and apoptosis, and is considered as a novel oncogene (28). Accumulating evidence has demonstrated upregulated expression of eIF-5A-2 in a number of cancer types, such as bladder cancer, hepatocellular carcinoma and colon cancer (35–37). Inhibition of eIF-5A-2 may decrease invasion and metastasis, and enhance the therapeutic efficacy of drugs in HCC cells (38,39). Cetuximab, an anti-epidermal growth factor receptor (EGFR) monoclonal antibody that targets the extracellular domain of EGFR, is used to treat several cancer types (40); for example, it is used for the treatment of patients with colorectal cancer and squamous cell carcinoma of the head and neck (41,42). It has been demonstrated that combination treatment with the eIF-5A-2 inhibitor, GC7, enhances cetuximab sensitivity by inhibiting eIF-5A-2 in non-small cell lung cancer (43). Studies identified activated EGFR as a potential determinant that promoted the resistance of HCC cells to sorafenib, while inhibition of EGFR with cetuximab increased the efficacy of sorafenib (44). Furthermore, a novel signal transducer and activator of transcription 3 inhibitor, NSC 74859, enhanced the anti-proliferative activity of cetuximab in HCC (45). However, single use of cetuximab was only slightly effective in clinical trials and drug resistance may be an issue. It is therefore imperative to increase the cytotoxicity of cetuximab in the treatment of HCC. In the present study, Huh7 cells were the most resistant to cetuximab among all the HCC cell lines. Notably, the eIF-5A-2 mRNA expression in the Huh7 cells was higher than that in the other HCC cell lines. The siRNA-mediated silencing of eIF-5A-2 resulted in enhanced sensitivity of the HCC cells to cetuximab. We also confirmed that inhibition of eIF-5A-2 could enhance the cytotoxicity of cetuximab in HCC. These discoveries indicate that eIF-5A-2 may be involved in cetuximab resistance in HCC cell lines. In the present study, miR-9 overexpression was revealed to downregulate the expression of eIF-5A-2 mRNA, while an miR-9 inhibitor increased eIF-5A-2 mRNA expression. These findings indicate that miR-9 may regulate the expression of eIF-5A-2. Additionally, the effects of miR-9 on cetuximab sensitivity were revealed to be eliminated by knockdown of eIF-5A-2 with siRNA. In summary, the present study demonstrated that overexpression of miR-9 downregulated the expression of eIF-5A-2 and enhanced the sensitivity of epithelial phenotype HCC cells to cetuximab. Taken together, these results indicate that the use of miR-9 may serve as a potential therapeutic approach for HCC in the future.
  45 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

Review 2.  MicroRNAs: small RNAs with a big role in gene regulation.

Authors:  Lin He; Gregory J Hannon
Journal:  Nat Rev Genet       Date:  2004-07       Impact factor: 53.242

3.  Overcoming drug resistance in ALK-rearranged lung cancer.

Authors:  Roman K Thomas
Journal:  N Engl J Med       Date:  2014-03-27       Impact factor: 91.245

4.  Overexpression of eukaryotic initiation factor 5A2 enhances cell motility and promotes tumor metastasis in hepatocellular carcinoma.

Authors:  Dong-Jiang Tang; Sui-Sui Dong; Ning-Fang Ma; Dan Xie; Leilei Chen; Li Fu; Sze Hang Lau; Yan Li; Yan Li; Xin-Yuan Guan
Journal:  Hepatology       Date:  2010-04       Impact factor: 17.425

5.  Overexpression of eIF5A-2 is an adverse prognostic marker of survival in stage I non-small cell lung cancer patients.

Authors:  Li-Ru He; Hong-Yun Zhao; Bin-Kui Li; Yan-Hui Liu; Meng-Zhong Liu; Xin-Yuan Guan; Xiu-Wu Bian; Yi-Xin Zeng; Dan Xie
Journal:  Int J Cancer       Date:  2011-07-01       Impact factor: 7.396

6.  Development and validation of a microRNA based diagnostic assay for primary tumor site classification of liver core biopsies.

Authors:  Katharina Perell; Martin Vincent; Ben Vainer; Bodil Laub Petersen; Birgitte Federspiel; Anne Kirstine Møller; Mette Madsen; Niels Richard Hansen; Lennart Friis-Hansen; Finn Cilius Nielsen; Gedske Daugaard
Journal:  Mol Oncol       Date:  2014-08-01       Impact factor: 6.603

7.  N1-guanyl-1,7-diaminoheptane enhances the chemosensitivity of NSCLC cells to cetuximab through inhibition of eukaryotic translation initiation factor 5A2 activation.

Authors:  X Wang; R Jiang; E-H Cui; W-M Feng; H-H Guo; D-H Gu; C-W Tang; T Xue; Y Bao
Journal:  Eur Rev Med Pharmacol Sci       Date:  2016-04       Impact factor: 3.507

8.  MicroRNA expression profiles associated with prognosis and therapeutic outcome in colon adenocarcinoma.

Authors:  Aaron J Schetter; Suet Yi Leung; Jane J Sohn; Krista A Zanetti; Elise D Bowman; Nozomu Yanaihara; Siu Tsan Yuen; Tsun Leung Chan; Dora L W Kwong; Gordon K H Au; Chang-Gong Liu; George A Calin; Carlo M Croce; Curtis C Harris
Journal:  JAMA       Date:  2008-01-30       Impact factor: 56.272

9.  Differential expression of eIF5A-1 and eIF5A-2 in human cancer cells.

Authors:  Paul M J Clement; Hans E Johansson; Edith C Wolff; Myung H Park
Journal:  FEBS J       Date:  2006-03       Impact factor: 5.542

10.  MiRNA-211 suppresses cell proliferation, migration and invasion by targeting SPARC in human hepatocellular carcinoma.

Authors:  Biao Deng; Lei Qu; Jinfang Li; Jiaqing Fang; Shouwen Yang; Zhongwei Cao; Zhechuan Mei; Xing Sun
Journal:  Sci Rep       Date:  2016-05-27       Impact factor: 4.379

View more
  8 in total

1.  miR-9 Enhances the Chemosensitivity of AML Cells to Daunorubicin by Targeting the EIF5A2/MCL-1 Axis.

Authors:  Yanhui Liu; Pingchong Lei; Hong Qiao; Kai Sun; Xiling Lu; Fengchang Bao; Runhong Yu; Cheng Lian; Yao Li; Wei Chen; Fei Xue
Journal:  Int J Biol Sci       Date:  2019-01-01       Impact factor: 6.580

2.  MicroRNA-9 inhibits gastric cancer cell proliferation and migration by targeting neuropilin-1.

Authors:  Cheng Hang; Hui-Shen Yan; Chen Gong; Hua Gao; Qiu-Hui Mao; Jian-Xin Zhu
Journal:  Exp Ther Med       Date:  2019-08-02       Impact factor: 2.447

3.  Overexpression of microRNA-9 enhances cisplatin sensitivity in hepatocellular carcinoma by regulating EIF5A2-mediated epithelial-mesenchymal transition.

Authors:  Ying Bao; Yibo Zhang; Yongliang Lu; Huihui Guo; Zhaohuo Dong; Qiuqiang Chen; Xilin Zhang; Weiyun Shen; Wei Chen; Xiang Wang
Journal:  Int J Biol Sci       Date:  2020-01-16       Impact factor: 6.580

4.  MicroRNA-383 inhibits doxorubicin resistance in hepatocellular carcinoma by targeting eukaryotic translation initiation factor 5A2.

Authors:  Chaoyong Tu; Wei Chen; Shuqian Wang; Wei Tan; Jingqiang Guo; Chuxiao Shao; Weilin Wang
Journal:  J Cell Mol Med       Date:  2019-02-23       Impact factor: 5.310

5.  Circ_0003998 enhances doxorubicin resistance in hepatocellular carcinoma by regulating miR-218-5p/EIF5A2 pathway.

Authors:  Xiaomin Li; Jiefeng He; Xiaojing Ren; Haichao Zhao; Haoliang Zhao
Journal:  Diagn Pathol       Date:  2020-12-11       Impact factor: 2.644

6.  The long non-coding RNA LIMT inhibits metastasis of hepatocellular carcinoma and is suppressed by EGF signaling.

Authors:  Yu Hu; Hao Li; Hongwei Zhang; Qiang Tang; Guangtan Zhang; Xiqing Li; Fei Xue
Journal:  Mol Biol Rep       Date:  2022-05-08       Impact factor: 2.742

7.  Relationship of micro-RNA, mRNA and eIF Expression in Tamoxifen-Adapted MCF-7 Breast Cancer Cells: Impact of miR-1972 on Gene Expression, Proliferation and Migration.

Authors:  Akhil Behringer; Darko Stoimenovski; Martin Porsch; Katrin Hoffmann; Gerhard Behre; Ivo Grosse; Thomas Kalinski; Johannes Haybaeck; Norbert Nass
Journal:  Biomolecules       Date:  2022-06-29

Review 8.  The emerging role of microRNAs and long noncoding RNAs in drug resistance of hepatocellular carcinoma.

Authors:  Ling Wei; Xingwu Wang; Liyan Lv; Jibing Liu; Huaixin Xing; Yemei Song; Mengyu Xie; Tianshui Lei; Nasha Zhang; Ming Yang
Journal:  Mol Cancer       Date:  2019-10-25       Impact factor: 27.401

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.