Skip to main content
NCBI home page
Journal of Cellular and Molecular Medicine logoLink to Journal of Cellular and Molecular Medicine
. 2019 Feb 23;23(11):7190–7199. doi: 10.1111/jcmm.14197

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

Chaoyong Tu 1,2, Wei Chen 3, Shuqian Wang 4,5, Wei Tan 2, Jingqiang Guo 2, Chuxiao Shao 2,✉, Weilin Wang 1,5,6,7,✉
PMCID: PMC6815770  PMID: 30801960

Abstract

Drug resistance occurs commonly in cancers, especially in hepatocellular carcinoma (HCC). Accumulating evidence has demonstrated that microRNAs (miRNAs) play a vital role in tumour chemoresistance. However, little is known about the role of miR‐383 in HCC chemoresistance. In the present study, RT‐PCR and western blotting were used to identify the expression profile of miR‐383 and eukaryotic translation initiation factor 5A2 (EIF5A2). The bioinformatics website Targetscan was used to predict the target genes of miR‐383. In vitro and in vivo loss‐ and gain‐of‐function studies were performed to reveal the effects and potential mechanism of the miR‐383/EIF5A2 axis in chemoresistance of HCC cells. The expression level of miR‐383 correlated negatively with doxorubicin (Dox) sensitivity. Overexpression of miR‐383 promoted HCC cells to undergo Dox‐induced cytotoxicity and apoptosis, whereas miR‐383 knockdown had the opposite effects. EIF5A2 was predicted as a target gene of miR‐383. EIF5A2 knockdown sensitized HCC cells to Dox. Moreover, miR‐383 inhibition‐mediated HCC Dox resistance could be reversed by silencing EIF5A2. Finally, we demonstrated that miR‐383 inhibition could enhance Dox sensitivity by targeting EIF5A2 in vivo. The results indicated that miR‐383 inhibited Dox resistance in HCC cells by targeting EIF5A2. Targeting the miR‐383/EIF5A2 axis might help to alleviate the chemoresistance of HCC cells.

Keywords: chemoresistance, EIF5A2, hepatocellular carcinoma, MiR‐383

1. INTRODUCTION

Hepatocellular carcinoma (HCC) is one of the most frequent malignancies worldwide, and is the third leading cause of cancer‐related death.1 Surgical resection and liver transplantation are the main therapeutic strategies used to treat this disease; however, they are only suitable for patients with early‐ to mild‐stage HCC.2, 3 For patients with the most advanced HCC, transarterial chemoembolization (TACE) is the most frequently selected treatment.4 Doxorubicin (Dox) is a first‐line chemotherapy agent for TACE.5, 6, 7 However, drug resistance of HCC cells greatly limits the efficacy of Dox.8 Therefore, there is an urgent need to understand the molecular mechanisms involved in the Dox resistance of HCC and identify novel targets to alleviate chemoresistance and improve clinical outcome.

MicroRNAs (miRNAs) are endogenous, highly conserved small non‐coding RNAs that regulate gene expression at the post‐transcriptional level by binding to the 3′‐untranslated region (3′ UTR) of target mRNAs.9 Increasing evidence suggests that dysregulated miRNAs are involved in tumourigenesis, tumour progression and chemoresistance.10 The restoration or knockdown of several miRNAs has been proven to relieve or enhance drug resistance in HCC.11 However, there are large gaps in our understanding of the potential roles of miRNAs in HCC chemoresistance, and we lack efficient and specific miRNA targets to overcoming HCC chemoresistance. Therefore, it is essential to identify key candidate miRNAs that regulate HCC chemoresistance to improve treatment outcome.

MicroRNA‐383 acts as a tumour suppressor in many cancers, including oesophageal squamous cell carcinoma, glioma, lung cancer and others.12, 13, 14. Chen et  al reported that miR‐383 might inhibit HCC cell proliferation partially via down‐regulating APRIL (encoding a proliferation‐inducing ligand) expression.15 Fang et  al showed that miR‐383 is down‐regulated in HCC and acts as a tumour suppressor by targeting LDHA (encoding lactate dehydrogenase A).16 However, the role of miR‐383 in HCC chemoresistance remains unclear.

Thus, in the present study, we aimed to investigate the role miR‐383 in HCC chemoresistance and reveal its potential mechanism. We found that overexpression of miR‐383 could promote Dox sensitivity in HCC cells. Further study showed that EIF5A2 (encoding eukaryotic translation initiation factor 5A2) is a target gene of miR‐383, and miR‐383 could sensitize HCC cells to Dox by regulating EIF5A2 in vitro and in vivo.

2. MATERIALS AND METHODS

2.1. Cell culture

Human HCC cell lines (Huh‐7, HepG2, SUN‐387 and SUN‐449) were purchased from the Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China). Cell lines Huh‐7 and HepG2 were routinely cultured in Dulbecco's modified Eagle's medium (DMEM) (Gibco, Rockville, MD) supplemented with 10% foetal bovine serum and 1% penicillin/streptomycin mix (Sigma‐Aldrich, St. Louis, MO) at 37°C and 5% CO2 in a humidified environment, and allowed to grow to confluence. Cell lines SUN‐387 and SUN‐449 were cultured in Roswell Park Memorial Institute (RPMI)‐1640 medium under the same conditions. Dox was purchased from Sigma‐Aldrich Co.

2.2. Real‐time PCR analysis

Total RNAs, including miRNAs, were extracted using the RNAiso reagent (Takara, Dalian, China), according to the manufacturer's instructions. For the quantitative detection of EIF5A2 mRNA expression, PCR amplification was performed with SYBR Green PCR Master Mix (Takara). For the quantitative detection of miR‐383 expression, PCR amplification was carried out using a Mir‐X™ miRNA quantitative real‐time reverse transcription PCR (qRT‐PCR) TB Green™ Kit (Takara), based on the manufacturer’s protocols. GAPDH (encoding glyceraldehyde‐3‐phosphate dehydrogenase) was used as the internal reference for normalization of EIF5A2 mRNA expression. U6 was used as the internal reference for normalization of miR‐383 expression. Relative gene expression was calculated using the 2−ΔΔCt method.17

2.3. Western blotting

Proteins were exacted from cells using radioimmunoprecipitation assay (RIPA) buffer containing protease inhibitors. The protein concentration was quantified using a bicinchoninic acid (BCA) Protein Assay Kit (Pierce, Rockford, IL). An equal amount of protein (40 µg) was separated by gel electrophoresis, and then transferred to a polyvinylidene fluoride membrane. The membrane was blocked with 5% non‐fat milk and subsequently incubated with anti‐EIF5A2 primary antibodies (dilution 1:1000; Abcam, Cambridge, UK) and anti‐GAPDH primary antibodies (Abcam) at 4°C overnight. The membrane was then probed with corresponding secondary antibodies (dilution 1:2000; Abcam) at room temperature for 1 hour. Immunoreactive protein bands were visualized using an ECL Substrate Kit (Abcam). Glyceraldehyde‐3‐phosphate dehydrogenase was used as loading control.

2.4. Cell viability assay

Cell viability was measured using a cell counting kit‐8 (CCK‐8; Dojindo, Kumamoto, Japan) assay. Briefly, cells were seeded into a 96‐well plate at 3 × 103 cells/well and cultured overnight. Cells with different treatments were treated with various concentrations of Dox for 24 hours. The cells were then treated with 10 µL of CCK‐8 reagent and cultured at 37°C for 2 hours according to the manufacturer's protocol. The absorbance was determined at 450 nm using an MRX II microplate reader (Dynex, Chantilly, VA).

2.5. Cell transfection

The miR‐383 mimics, inhibitor and negative controls were purchased from GenePharma (Shanghai, China). The EIF5A2 short interfering RNA (siRNA) was also obtained from GenePharma. Cell transfection of miRNAs or EIF5A2 siRNAs was performed with Lipofectamine 2000 (Invitrogen, Carlsbad, CA) according to the manufacturer's instructions. The transfection medium was replaced with a complete medium 6 hours after transfection, and the cells were incubated for the indicated times. All treatments were started 24 hours after transfection.

2.6. Cell apoptosis assay

Cell apoptosis was determined using the Annexin V fluorescein isothiocyanate (FITC)/propidium iodide (PI) kit (Invitrogen). Briefly, the cells were plated into 6‐well plates at a density of 3 × 105 cells/well, and then transfected with miR‐3383 mimics, inhibitors or controls and treated with 1 µg/mL of Dox. After 12 hours, the cells were collected and stained with Annexin V‐FITC and PI. Flow cytometry using a BD CANTO II instrument (BD, Franklin Lakes, NJ) was then performed to detect apoptosis of the transfected cells.

2.7. Animal model

Huh7 cells (5 × 106 cells per mouse) were slowly injected into the right‐side flanks of male BALB/c nude mice aged 3‐5 weeks. After the tumour grew to 0.5 mm, the mice were divided into four groups of five mice each. The groups of mice received normal saline (50 µL), PBS containing Dox (3 mg/kg), agomiR‐383 (2 nmol per mouse in 50 µL) or PBS containing Dox and 2 nmol of agomiR‐383. PBS, Dox and agomiR‐383 were administered by tumour injection every 3 days. The volume of the tumour was monitored and calculated using the following formula: volume = (length × width2)/2. The mice were weighed every 3 days. The mice were killed 2 weeks later, and the tumours were extracted, weighed and frozen in liquid nitrogen or fixed in 10% buffered neutral formalin for further analysis. All animal procedures and experimental protocols were approved by the Laboratory Animal Ethics Committee of our hospital.

2.8. Immunohistochemistry

Immunohistochemical staining of the paraffin‐embedded sections from mouse tumour tissues was performed with a microwave‐based antigen retrieval technique, and specimen slides were incubated overnight at 4°C with primary antibodies raised against Ki67 (Cell Signaling Technology). The slides were then observed and photographed under a light microscopy (Olympus, Tokyo, Japan). The positive rates were measured using Image‐Pro Plus v. 6.0 software (Media Cybernetics, Bethesda, MD).

2.9. Terminal deoxynucleotidyl transferase dUTP nick end labelling assay

The terminal deoxynucleotidyl transferase dUTP nick end labelling (TUNEL) assay was used to identify apoptosis in 5‐mm sections of paraffin‐embedded nude mouse tissues with an in situ cell death detection kit obtained from Roche (Basel, Switzerland) according to the manufacturer's instructions. The apoptotic cells were observed under a light microscope (Olympus). Briefly, the TUNEL‐positive cells that showed green nuclear staining and all cells with blue nuclear DAPI (4',6‐diamidino‐2‐phenylindole) staining were counted within five randomly selected fields under high‐power magnification (DM‐2500; Leica Microsystems, Wetzlar, Germany). The index of apoptosis was expressed as the ratio of positively stained apoptotic cells to the total number of cells counted ×100%.

2.10. Statistical analysis

All assays were performed in triplicate. The data are expressed as the mean ± SD. The statistical analyses were performed with Student's t test. P < 0.05 was considered to indicate a statistically significant difference. Statistical analyses were performed with spss software, version 18.0 (IBM, Armonk, NY).

3. RESULTS

3.1. The expression level of miR‐383 was negatively associated with Dox sensitivity in HCC cells

To investigate the potential role of miR‐383 in HCC, we first used starBase v.3 project to analyse the level of miR‐383 in LIHC (liver HCC). As expected, the level of miR‐383 was higher in 370 cancer than 50 normal sample in LIHC (Figure 1A). Then, we examined the expression level of miR‐383 in multiple HCC cell lines using RT‐PCR. The results showed that miR‐383 expression was the highest in Huh7, second in HepG2, third in SNU387 and fourth in SNU449 (Figure 1B). MicroRNA‐383 showed higher expression in Huh‐7 compared to that in the normal liver cell line HL‐7702 (Figure 1B). We then detected the cell viability and Dox IC50 value of HCC cells treated with different concentrations of Dox. The CCK‐8 assay showed that the cell viability of the HCC cell lines was highest in SNU449 and lowest in Huh7, which was the opposite trend to miR‐383 expression (Figure 1C,E). In addition, the trend of the IC50 value of Dox was also opposite to the miR‐383 expression (Figure 1D,F). Thus, these results indicated that miR‐383 expression might correlate with Dox resistance to some extent.

Figure 1.

Figure 1

Open in a new tab

MicroRNA‐383 expression is negatively related to Dox sensitivity in HCC cells. A, We used starBase v 3.0 project to analyse the level of miR‐383 in 370 cancer and 50 normal samples in LIHC (B) mRNA expression levels of miR‐383 in four HCC cell lines quantified by RT‐PCR. (C,E) Cell viability of four HCC cell lines under various concentrations of Dox for 48 and 72 h, as assayed by CCK‐8. (D,F) The IC50 value of Dox for 48 and 72 h, in the four HCC cell lines calculated according to the CCK‐8 results. Dox, Doxorubicin; HCC, hepatocellular carcinoma; CCK‐8, cell counting kit‐8

3.2. Overexpression of miR‐383 enhances the Dox sensitivity of HCC cells

To further explore the role of miR‐383 in regulating HCC Dox resistance, we performed gain‐ and loss‐of‐function experiments, using miR‐383 mimics or an inhibitor respectively. We found that overexpression of miR‐383 significantly increased Dox‐induced cytotoxicity (Figure 2A). The overexpression efficiency of the miR‐383 mimics was detected using RT‐PCR (Figure 2B). In contrast, miR‐383 knockdown had the opposite effect (Figure 2C). The knockdown efficiency of miR‐383 inhibitor is shown in Figure 2D. Additionally, we found that overexpression of miR‐383 markedly increased the Dox‐induced cell apoptosis of HCC cells (Figure 2E). These results suggested that miR‐383 restoration promoted the chemosensitivity of HCC cells to Dox.

Figure 2.

Figure 2

Open in a new tab

Overexpression of microRNA‐383 (miR‐383) sensitizes HCC cells to Dox. A, The cell viability of four HCC cells lines transfected with miR‐383 mimics, negative control RNA or blank was detected after incubation with at various Dox concentrations (0, 0.5, and 1.0 μg/mL). B, The overexpression efficiency of miR‐383 mimics was detected by RT‐PCR. *P < 0.05, **P < 0.01, ***P < 0.001 versus blank. C, The cell viability of four HCC cells lines transfected with miR‐383 inhibitor, negative control RNA or blank was detected when incubated with various Dox concentrations. D, The inhibition efficiency of miR‐383 inhibitor was detected by RT‐PCR. *P < 0.05, **P < 0.01, ***P < 0.001 versus blank. E, Apoptotic cells were determined using flow cytometry in four HCC cell lines after treatment with blank, 1.0 μg/mL Dox, 1.0 μg/mL Dox + negative control RNA, 1.0 μg/mL Dox + miR‐383 mimics, or 1.0 μg/mL Dox + miR‐383 inhibitor. *P < 0.05, **P < 0.01,***P < 0.001 versus blank. Dox, Doxorubicin; HCC, hepatocellular carcinoma.

3.3. EIF5A2 is a direct target of miR‐383

To identify the candidate target genes of miR‐383 that are associated with cancer chemoresistance, we used the miRNA target‐prediction website TargetScan. Interestingly, we found that EIF5A2, a vital gene for cancer drug resistance,18, 19 was predicted as a potential target gene of miR‐383. The 3′ UTR of EIF5A2 has a binding region for miR‐383 (Figure 3A). Furthermore, we first used starBase v.3 project to analyse the level of EIF5A2 in LIHC. The results showed that the level of EIF5A2 was higher in 374 cancer than 50 normal sample in LIHC (Figure S1).To confirm whether EIF5A2 was the genuine target gene of miR‐383, we first examined the protein and mRNA expression of EIF5A2 in HCC cell lines. The results showed that the expression level of EIF5A2 was highest in SNU449 and lowest in Huh7, which was negatively correlated with miR‐383 expression (Figure 3B,C). We then detected the effect of miR‐383 on EIF5A2 expression using qRT‐PCR and western blotting analysis. The results demonstrated that overexpression of miR‐383 significantly decreased the mRNA and protein expression of EIF5A2 (Figure 3D,F), while miR‐383 knockdown increased EIF5A2 expression (Figure 3E,G). Thus, these results suggested that EIF5A2 is a target gene of miR‐383.

Figure 3.

Figure 3

Open in a new tab

EIF5A2 acts as a direct target of miR‐383 in HCC cells. A, The bioinformatics software TargetScan was used to identify the binding region of miR‐383 in the EIF5A2 3′‐UTR. (B,C) Protein and mRNA expression levels of EIF5A2 in four HCC cell lines quantified by western blotting and RT‐PCR. (D,E) The effect of miR‐383 mimics and inhibitor on the mRNA expression of EIF5A2 quantified by RT‐PCR. (F,G) The effect of miR‐383 mimics and inhibitor on the protein expression of EIF5A2 quantified by western blotting. 3′‐UTR, 3′‐untranslated region; HCC, hepatocellular carcinoma; EIF5A2, eukaryotic translation initiation factor 5A2

3.4. Knockdown of EIF5A2 sensitized HCC cells to Dox and reversed the effect of miR‐383 inhibition in regulating Dox resistance

To verify whether miR‐383 regulates Dox resistance by directly targeting EIF5A2, we first investigated the role of EIF5A2 in Dox resistance in HCC cells. The results showed that EIF5A2 knockdown promoted the Dox sensitivity of HCC cells, which was consistent with miR‐383 overexpression (Figure 4A), and the knockdown efficiency of the EIF5A2 siRNA was confirmed by RT‐PCR and western blotting (Figure 4,C). We then performed rescue experiments by cotransfecting EIF5A2 siRNA and the miR‐383 inhibitor in HCC cells. We found that miR‐383 inhibition‐mediated Dox resistance was reversed by the EIF5A2 siRNA (Figure 4D). These findings indicated that miR‐383 alleviated Dox resistance of HCC cells by regulating EIF5A2 expression.

Figure 4.

Figure 4

Open in a new tab

Knockdown of EIF5A2 sensitizes HCC cells to Dox and reversed the effect of miR‐383 inhibition in regulating Dox resistance. A, The cell viability of four HCC cells lines transfected with the EIF5A2 siRNA, negative control RNA or blank was detected when incubated with at various Dox concentrations (0, 0.5, 1.0 μg/mL). (B,C) The knockdown efficiency of the EIF5A2 siRNA was confirmed by RT‐PCR and western blotting. *P < 0.05, **P < 0.01 versus blank. D, The cell viability of four HCC cell lines cultured at various Dox concentrations (0, 0.5 and 1.0 μg/mL) after transfection with blank, EIF5A2 siRNA + negative control RNA and EIF5A2 siRNA + miR‐383 inhibitor. Dox, Doxorubicin; HCC, hepatocellular carcinoma; EIF5A2, eukaryotic translation initiation factor 5A2; siRNA, short interfering RNA.

3.5. MiR‐383 overexpression sensitized HCC cells to DOX in vivo

To further investigate the role of miR‐383 in Dox resistance in HCC cells, we employed a subcutaneous xenotransplanted nude mouse model to detect the role of miR‐383 in vivo. The results showed that injection of both agomiR‐383 and Dox into a tumour could significantly inhibit tumour growth compared to injection of agomiR‐383 alone or Dox alone (Figure 5A). In addition, the tumour growth curve and nude mice bodyweight curve confirmed this result (Figure 5B,C). The injection of agomiR‐383 was successful and the miR‐383 level was up‐regulated in the tumour tissues (Figure 5D). Meanwhile, we examined the expression of EIF5A2 in the nude mice tumour tissues, the results demonstrated that miR‐383 could inhibit EIF5A2 expression in vivo (Figure 5E). Finally, marker of proliferation Ki‐67 (ki‐67) staining and TUNEL assays indicated that miR‐383 overexpression could enhance growth inhibition and promote apoptosis of HCC cells in vivo (Figure 5F,G).

Figure 5.

Figure 5

Open in a new tab

MicroRNA‐383 overexpression sensitizes HCC cells to Dox in vivo. A, Image of the tumours in each group of nude mice treated with normal saline, agomiR‐383, 3 mg/kg Dox or 2 nmol miR‐383 + 3 mg/kg Dox. B, The tumour growth curve. The volume of the tumour was monitored using the following formula: volume = (length × width2)/2. C, The bodyweight curve of the nude mice in each group. D, mRNA expression of miR‐383 in the tumour tissues of the nude mice in each group quantified using RT‐PCR. E, Protein expression of EIF5A2 in the tumour tissues of nude mice in each group quantified by western blotting. F, The marker of proliferation Ki‐67 (ki‐67) staining in the tumour tissues of the nude mice in each group. **P < 0.01, ***P < 0.001 versus Normal saline. ## P < 0.01, ### P < 0.001. G, TUNEL assay was used to detected apoptosis in the tumour tissues of the nude mice in each group. **P < 0.01, ***P < 0.001 versus Normal saline. ## P < 0.01, ### P < 0.001. Dox, Doxorubicin; HCC, hepatocellular carcinoma; EIF5A2, eukaryotic translation initiation factor 5A2; TUNEL, terminal deoxynucleotidyl transferase dUTP nick end labelling.

4. DISCUSSION

Studies have shown that for patients with advanced HCC, resistance to systemic chemotherapy and TACE have been the main obstacles to longer survival.20, 21 Therefore, there is an urgent need to thoroughly explore the molecular mechanisms of chemoresistance in HCC to develop better strategies for prolonging the survival of patients with HCC. Recently, miRNAs have been proven to play a vital role in regulating the chemoresistance and progression of cancers. In HCC, accumulating evidence has demonstrated that dysregulated miRNAs correlate with HCC chemoresistance.22, 23 However, the roles of miRNAs are complicated because one miRNA may have multiple target genes. Thus, more studies are needed to clarify the functions of certain miRNAs in cancers.

It was reported that miR‐383 is frequently down‐regulated and acts as a tumour suppressor in multiple cancers.24 In ovarian cancer, the expression of miR‐383 was proved to be significantly down‐regulated in ovarian cancer tissues and ovarian cancer cell lines, and miR‐383 regulated LDHA expression in the ovarian cancer cells to inhibit glycolysis, cell proliferation and invasion.25In colorectal cancer, miR‐383 was reported to act as a tumour suppressor by modulating CREPT (encoding cell‐cycle related and expression‐elevated protein in tumour, also known as RPRD1B) expression.26 In lung cancer, miR‐383 could suppress lung cancer progression by targeting EPAS1 (encoding endothelial PAS domain‐containing protein 1).13 In HCC, only two studies have stated a role of miR‐383.15, 16 However, there is no evidence of the role of miR‐383 in HCC chemoresistance. In the present study, we observed that the expression level of miR‐383 correlated negatively with Dox sensitivity. Overexpression of miR‐383 sensitized HCC cells to Dox‐induced cytotoxicity and apoptosis, whereas miR‐383 knockdown had the opposite effects.

Eukaryotic translation initiation factor 5A2 (EIF5A2), one isoform of EIF5A, plays a vital role in mRNA translation.27 Emerging data show that EIF5A2 acts as an oncogene and plays a vital role in regulating chemoresistance in human cancers.28, 29, 30, 31, 32 In colon cancer, EIF5A2 was reported to enhance chemoresistance to Dox via regulation of the epithelial‐mesenchyme transition,33 and in oesophageal squamous cell carcinoma cells, EIF5A2 overexpression led to chemoresistance to 5‐fluorouracil (5‐FU), docetaxel and taxol.18 In HCC, EIF5A2 was proven to be a target of N1‐Guanyl‐1,7‐Diaminoheptane (GC7, a deoxyhypusine synthase inhibitor), and inhibition of EIF5A2 by GC7 could sensitize HCC cells to Dox.34, 35 EIF5A2 was reported to be regulated by miR‐125b, miR‐29b and miR‐936, 37, 38 in HCC. However, chemoresistance and progression of HCC are very complicated. Multiple miRNAs and their target genes are likely to be involved in HCC. Therefore, further studies are needed to clarify the potential molecular mechanism of HCC. In the present study, we proved that EIF5A2 is a target gene of miR‐383 and is involved in Dox resistance.

In summary, the present study explored the relationship between the expression of miR‐383 and EIF5A2 and Dox resistance in HCC and validated that EIF5A2 is indeed a target gene of miR‐383. MiR‐383 overexpression could sensitize HCC cells to Dox via targeting EIF5A2. Our study proved the function of the miR‐383‐EIF5A2 axis in chemoresistance of HCC. Targeting EIF5A2 via miR‐383 might be a novel and effective therapeutic strategy to relieve chemoresistance in HCC.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

Supporting information

 

Click here for additional data file. (135KB, tif)

 

Click here for additional data file. (12.1KB, docx)

ACKNOWLEDGEMENTS

This study was supported by The National Natural Science Foundation of China (No.81572307,81773096); Major Project of Medical and Health Technology Development Program in Zhejiang Province (No. 7211902); Projects of Lishui Key Research and Development Plan in Zhejiang Province (2016zdyf01, 2017ZDYF12).

Tu C, Chen W, Wang S, et al. MicroRNA‐383 inhibits doxorubicin resistance in hepatocellular carcinoma by targeting eukaryotic translation initiation factor 5A2. J Cell Mol Med. 2019;23:7190–7199. 10.1111/jcmm.14197

Chaoyong Tu, Wei Chen and Shuqian Wang contributed equally to this work.

Contributor Information

Chuxiao Shao, Email: scx1818@126.com.

Weilin Wang, Email: wam@zju.edu.cn.

REFERENCES

  • 1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394‐424. [DOI] [PubMed] [Google Scholar]
  • 2. Goossens N, Koessler T, Spahr L, Negro F. [Hepatocellular carcinoma : updated management guidelines]. Rev Med Suisse. 2018;14:1508‐1511. [PubMed] [Google Scholar]
  • 3. Chedid MF, Kruel C, Pinto MA, et al. Hepatocellular carcinoma: diagnosis and operative management. Arq Bras Cir Dig. 2017;30:272‐278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Tsurusaki M, Murakami T. Surgical and locoregional therapy of HCC: TACE. Liver Cancer. 2015;4:165‐175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Sieghart W, Hucke F, Peck‐Radosavljevic M. Transarterial chemoembolization: modalities, indication, and patient selection. J Hepatol. 2015;62:1187‐1195. [DOI] [PubMed] [Google Scholar]
  • 6. Makramalla A, Itri JN, Choe KA, Ristagno RL. Transarterial therapies for hepatocellular carcinoma. Semin Roentgenol. 2016;51:95‐105. [DOI] [PubMed] [Google Scholar]
  • 7. Boily G, Villeneuve JP, Lacoursiere L, et al; Comite de l'evolution des pratiques en oncologie . Transarterial embolization therapies for the treatment of hepatocellular carcinoma: CEPO review and clinical recommendations. HPB (Oxford). 2015;17:52‐65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Pastorelli D, Cartei G, Zustovich F, et al. Gemcitabine and liposomal doxorubicin in biliary and hepatic carcinoma (HCC) chemotherapy: preliminary results and review of the literature. Ann Oncol. 2006;17(Suppl 5):v153‐v157. [DOI] [PubMed] [Google Scholar]
  • 9. Yang N, Ekanem NR, Sakyi CA, Ray SD. Hepatocellular carcinoma and microRNA: new perspectives on therapeutics and diagnostics. Adv Drug Deliv Rev. 2015;81:62‐74. [DOI] [PubMed] [Google Scholar]
  • 10. Acunzo M, Romano G, Wernicke D, Croce CM. MicroRNA and cancer–a brief overview. Adv Biol Regul. 2015;57:1‐9. [DOI] [PubMed] [Google Scholar]
  • 11. Dong ZZ, Yao M, Wang L, Wu W, Gu X, Yao DF. Hypoxia‐inducible factor‐1alpha: molecular‐targeted therapy for hepatocellular carcinoma. Mini Rev Med Chem. 2013;13:1295‐1304. [DOI] [PubMed] [Google Scholar]
  • 12. He Z, Cen D, Luo X, et al. Downregulation of miR‐383 promotes glioma cell invasion by targeting insulin‐like growth factor 1 receptor. Med Oncol. 2013;30:557. [DOI] [PubMed] [Google Scholar]
  • 13. Ma H, Liu B, Wang S, Liu J. MicroRNA‐383 is a tumor suppressor in human lung cancer by targeting endothelial PAS domain‐containing protein 1. Cell Biochem Funct. 2016;34:613‐619. [DOI] [PubMed] [Google Scholar]
  • 14. Wang X, Ren Y, Wang Z, et al. Down‐regulation of 5S rRNA by miR‐150 and miR‐383 enhances c‐Myc‐rpL11 interaction and inhibits proliferation of esophageal squamous carcinoma cells. FEBS Lett. 2015;589:3989‐3997. [DOI] [PubMed] [Google Scholar]
  • 15. Chen L, Guan H, Gu C, Cao Y, Shao J, Wang F. miR‐383 inhibits hepatocellular carcinoma cell proliferation via targeting APRIL. Tumour Biol. 2016;37:2497‐2507. [DOI] [PubMed] [Google Scholar]
  • 16. Fang Z, He L, Jia H, Huang Q, Chen D, Zhang Z. The miR‐383‐LDHA axis regulates cell proliferation, invasion and glycolysis in hepatocellular cancer. Iran J Basic Med Sci. 2017;20:187‐192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real‐time quantitative PCR and the 2(‐Delta Delta C(T)) Method. Methods. 2001;25:402‐408. [DOI] [PubMed] [Google Scholar]
  • 18. Yang H, Li XD, Zhou Y, et al. Stemness and chemotherapeutic drug resistance induced by EIF5A2 overexpression in esophageal squamous cell carcinoma. Oncotarget. 2015;6:26079‐26089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Liu Y, Du F, Chen W, Yao M, Lv K, Fu P. EIF5A2 is a novel chemoresistance gene in breast cancer. Breast Cancer. 2015;22:602‐607. [DOI] [PubMed] [Google Scholar]
  • 20. Finn RS. Treatment of intermediate‐stage hepatocellular carcinoma. Gastroenterol Hepatol (N Y). 2015;11:545‐547. [PMC free article] [PubMed] [Google Scholar]
  • 21. Yim HJ, Suh SJ, Um SH. Current management of hepatocellular carcinoma: an Eastern perspective. World J Gastroenterol. 2015;21:3826‐3842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Bimonte S, Leongito M, Barbieri A, et al. The therapeutic targets of miRNA in hepatic cancer stem cells. Stem Cells Int. 2016;2016:1065230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Xia H, Ooi LL, Hui KM. MicroRNA‐216a/217‐induced epithelial‐mesenchymal transition targets PTEN and SMAD7 to promote drug resistance and recurrence of liver cancer. Hepatology. 2013;58:629‐641. [DOI] [PubMed] [Google Scholar]
  • 24. Teng P, Jiao Y, Hao M, Tang X. microRNA‐383 suppresses the PI3K‐AKT‐MTOR signaling pathway to inhibit development of cervical cancer via down‐regulating PARP2. J Cell Biochem. 2018;119:5243‐5252. [DOI] [PubMed] [Google Scholar]
  • 25. Han RL, Wang FP, Zhang PA, Zhou XY, Li Y. miR‐383 inhibits ovarian cancer cell proliferation, invasion and aerobic glycolysis by targeting LDHA. Neoplasma. 2017;64:244‐252. [DOI] [PubMed] [Google Scholar]
  • 26. Li J, Smith AR, Marquez RT, et al. MicroRNA‐383 acts as a tumor suppressor in colorectal cancer by modulating CREPT/RPRD1B expression. Mol Carcinog. 2018;57:1408‐1420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Clement PM, Henderson CA, Jenkins ZA, et al. Identification and characterization of eukaryotic initiation factor 5A–2. Eur J Biochem. 2003;270:4254‐4263. [DOI] [PubMed] [Google Scholar]
  • 28. Chen G, Gharib TG, Thomas DG, et al. Proteomic analysis of eIF‐5A in lung adenocarcinomas. Proteomics. 2003;3:496‐504. [DOI] [PubMed] [Google Scholar]
  • 29. Clement PM, Johansson HE, Wolff EC, Park MH. Differential expression of eIF5A‐1 and eIF5A‐2 in human cancer cells. FEBS J. 2006;273:1102‐1114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Wang FW, Guan XY, Xie D. Roles of eukaryotic initiation factor 5A2 in human cancer. Int J Biol Sci. 2013;9:1013‐1020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Khosravi S, Wong RP, Ardekani GS, et al. Role of EIF5A2, a downstream target of Akt, in promoting melanoma cell invasion. Br J Cancer. 2014;110:399‐408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Meng QB, Kang WM, Yu JC, et al. Overexpression of eukaryotic translation initiation factor 5A2 (EIF5A2) correlates with cell aggressiveness and poor survival in gastric cancer. PLoS ONE. 2015;10:e0119229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Bao Y, Lu Y, Wang X, et al. Eukaryotic translation initiation factor 5A2 (eIF5A2) regulates chemoresistance in colorectal cancer through epithelial mesenchymal transition. Cancer Cell Int. 2015;15:109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Zhou QY, Tu CY, Shao CX, et al. GC7 blocks epithelial‐mesenchymal transition and reverses hypoxia‐induced chemotherapy resistance in hepatocellular carcinoma cells. Am J Transl Res. 2017;9:2608‐2617. [PMC free article] [PubMed] [Google Scholar]
  • 35. Lou B, Fan J, Wang K, et al. N1‐guanyl‐1,7‐diaminoheptane (GC7) enhances the therapeutic efficacy of doxorubicin by inhibiting activation of eukaryotic translation initiation factor 5A2 (eIF5A2) and preventing the epithelial‐mesenchymal transition in hepatocellular carcinoma cells. Exp Cell Res. 2013;319:2708‐2717. [DOI] [PubMed] [Google Scholar]
  • 36. Bai HY, Liao YJ, Cai MY, et al. Eukaryotic initiation factor 5A2 contributes to the maintenance of CD133(+) hepatocellular carcinoma cells via the c‐Myc/microRNA‐29b axis. Stem Cells. 2018;36:180‐191. [DOI] [PubMed] [Google Scholar]
  • 37. Tsang FH, Au V, Lu WJ, et al. Prognostic marker microRNA‐125b inhibits tumorigenic properties of hepatocellular carcinoma cells via suppressing tumorigenic molecule eIF5A2. Dig Dis Sci. 2014;59:2477‐2487. [DOI] [PubMed] [Google Scholar]
  • 38. Xue F, Liang Y, Li Z, et al. MicroRNA‐9 enhances sensitivity to cetuximab in epithelial phenotype hepatocellular carcinoma cells through regulation of the eukaryotic translation initiation factor 5A–2. Oncol Lett. 2018;15:813‐820. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

 

Click here for additional data file. (135KB, tif)

 

Click here for additional data file. (12.1KB, docx)

Articles from Journal of Cellular and Molecular Medicine are provided here courtesy of Blackwell Publishing

RESOURCES