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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2016.4914</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-4914</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>MicroRNA-486-5p enhances hepatocellular carcinoma tumor suppression through repression of IGF-1R and its downstream mTOR, STAT3 and c-Myc</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Youness</surname><given-names>Rana Ahmed</given-names></name>
<xref rid="af1-ol-0-0-4914" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>El-Tayebi</surname><given-names>Hend Mohamed</given-names></name>
<xref rid="af2-ol-0-0-4914" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Assal</surname><given-names>Reem Amr</given-names></name>
<xref rid="af2-ol-0-0-4914" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Hosny</surname><given-names>Karim</given-names></name>
<xref rid="af3-ol-0-0-4914" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Esmat</surname><given-names>Gamal</given-names></name>
<xref rid="af4-ol-0-0-4914" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Abdelaziz</surname><given-names>Ahmed Ihab</given-names></name>
<xref rid="af2-ol-0-0-4914" ref-type="aff">2</xref>
<xref rid="c1-ol-0-0-4914" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-4914"><label>1</label>Department of Pharmaceutical Biology, Faculty of Pharmacy and Biotechnology, German University in Cairo, New Cairo City, Cairo 11835, Egypt</aff>
<aff id="af2-ol-0-0-4914"><label>2</label>Department of Pharmacology and Toxicology, Faculty of Pharmacy and Biotechnology, German University in Cairo, New Cairo City, Cairo 11835, Egypt</aff>
<aff id="af3-ol-0-0-4914"><label>3</label>Department of General Surgery, Faculty of Medicine, Cairo University, Giza 12613, Egypt</aff>
<aff id="af4-ol-0-0-4914"><label>4</label>Department of Endemic Medicine and Hepatology, Cairo University, Giza 12613, Egypt</aff>
<author-notes>
<corresp id="c1-ol-0-0-4914"><italic>Correspondence to</italic>: Professor Ahmed Ihab Abdelaziz, Department of Pharmacology and Toxicology, Faculty of Pharmacy and Biotechnology, German University in Cairo, Main Entrance (Gate 1), 5th Compound, Beside Arabella Compound, New Cairo City, Cairo 11835, Egypt, E-mail: <email>ahmed.ihab.abdelaziz@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>10</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>07</month>
<year>2016</year></pub-date>
<volume>12</volume>
<issue>4</issue>
<fpage>2567</fpage>
<lpage>2573</lpage>
<history>
<date date-type="received"><day>03</day><month>08</month><year>2015</year></date>
<date date-type="accepted"><day>16</day><month>06</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year>
</permissions>
<abstract>
<p>The insulin-like growth factor (IGF)-axis has been paradigmatically involved in hepatocellular carcinoma (HCC) tumor initiation, progression and drug resistance. Consequently, members of the IGF-axis and most importantly, IGF-1 receptor (IGF-1R) have been considered as intriguing targets for HCC therapy. Few miRNAs have been recently reported to be associated with IGF-1R regulation. The present study aimed to investigate the role of microRNA (miRNA/miR)-486-5p in the regulation of IGF-1R and its downstream signaling cascades. miR-486-5p was markedly downregulated in hepatitis C virus-induced HCC tissues and Huh-7 cells. Forcing the expression of miR-486-5p in Huh-7 cells resulted in the repression of IGF-1R, mammalian target of rapamycin (mTOR), signal transducer and activator of transcription 3 (STAT3) and c-Myc mRNA levels. Ectopic expression of miR-486-5p in Huh-7 cells markedly repressed cellular viability, proliferation, migration and clonogenicity in a similar pattern to IGF-1R small interfering RNAs, and were evaluated using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, BrdU incorporation, wound healing and colony forming assays, respectively. Overall, the study findings demonstrated that miR-486-5p acts as a tumor suppressor in HCC through the repression of essential members of the IGF-axis, including IGF-1R and its downstream mediators mTOR, STAT3 and c-Myc.</p>
</abstract>
<kwd-group>
<kwd>microRNA-486-5p</kwd>
<kwd>HCC</kwd>
<kwd>IGF-1R</kwd>
<kwd>mTOR</kwd>
<kwd>STAT3</kwd>
<kwd>c-Myc</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>The insulin-like growth factor (IGF) axis has been reported by several studies to be among the most deregulated signaling pathways in several types of neoplasm, including hepatocellular carcinoma (HCC) (<xref rid="b1-ol-0-0-4914" ref-type="bibr">1</xref>,<xref rid="b2-ol-0-0-4914" ref-type="bibr">2</xref>). The IGF axis and principally the gate-keeper of this pathway, IGF-1 receptor (IGF-1R), has recently been identified as a potential target for the treatment of HCC. To achieve this, several IGF-1R inhibitors were developed, including small molecules, monoclonal antibodies, antisense oligonucleotides and small interfering (si)RNAs (<xref rid="b3-ol-0-0-4914" ref-type="bibr">3</xref>&#x2013;<xref rid="b7-ol-0-0-4914" ref-type="bibr">7</xref>). However, an unpredictable mechanism of resistance to IGF-1R inhibitors was observed (<xref rid="b8-ol-0-0-4914" ref-type="bibr">8</xref>). Compensatory activation of associated downstream signaling pathways, including the phosphoinositide 3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR), Janus kinase (JAK)/signal transducer and activator of transcription (STAT) pathway and RAS/RAF/mitogen-activated protein kinase (MAPK) signaling cascades (<xref rid="f1-ol-0-0-4914" ref-type="fig">Fig. 1</xref>), emerged as a critical mechanism of drug resistance in HCC cells (<xref rid="b9-ol-0-0-4914" ref-type="bibr">9</xref>&#x2013;<xref rid="b11-ol-0-0-4914" ref-type="bibr">11</xref>). Hence, targeting a single point in this pivotal signaling pathway was found to induce compensatory up- and/or downstream activation, resulting in drug resistance (<xref rid="b12-ol-0-0-4914" ref-type="bibr">12</xref>,<xref rid="b13-ol-0-0-4914" ref-type="bibr">13</xref>). However, a vertical and/or horizontal blockage of this axis may solve this problem.</p>
<p>MicroRNAs (miRNAs/miRs) are small non-coding RNAs (~22 nucleotides long) that act post-transcriptionally to regulate gene expression (<xref rid="b14-ol-0-0-4914" ref-type="bibr">14</xref>). The idea of using such epigenetic modulators as therapeutic tools is highly compelling due to the fact that they can affect hundreds of targets rather than a single one, a trait that gives them the power to shut down an entire deregulated pathway (<xref rid="b15-ol-0-0-4914" ref-type="bibr">15</xref>). In addition, they have the ability to tune the expression level of their targets instead of blunting it, which is basically less damaging to healthy cells (<xref rid="b16-ol-0-0-4914" ref-type="bibr">16</xref>). In HCC, the deregulated miRNAs and their role in HCC development have become a focus of interest, and a set of miRNAs have been implicated in HCC carcinogenesis (<xref rid="b17-ol-0-0-4914" ref-type="bibr">17</xref>,<xref rid="b18-ol-0-0-4914" ref-type="bibr">18</xref>). Currently, an miRNA drug, MRX34, is undergoing a phase 1 clinical trial for patients with advanced HCC. This drug is based around miRNA-34a, which is one of the most prominent tumor suppressor miRNAs in HCC (<xref rid="b19-ol-0-0-4914" ref-type="bibr">19</xref>). The miRNA of other potential tumor suppressors has been found to target several components of the IGF-signaling pathway; for example, miR-615-5p, which was previously reported by our group to directly target IGF-2 (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>). Focusing on the gatekeeper of the IGF-axis, IGF-1R, several miRNAs, including miR-145 and miR-99a, have been found to act as tumor suppressors in HCC through direct targeting of IGF-1R (<xref rid="b21-ol-0-0-4914" ref-type="bibr">21</xref>,<xref rid="b22-ol-0-0-4914" ref-type="bibr">22</xref>). Notably, it was recently reported that miR-486-5p directly targets IGF-1R in lung cancer (<xref rid="b23-ol-0-0-4914" ref-type="bibr">23</xref>). However, this has not previously been investigated in HCC. Therefore, the main aim of the present study was to investigate the impact of miR-486-5p on IGF-1R and its downstream signaling mediators, mTOR, STAT3 and c-Myc, in an approach that aids in our understanding of the molecular mechanism of miR-486-5p in HCC.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patients and tissue samples</title>
<p>The present study included 20 hepatitis C virus (HCV)-induced HCC patients who underwent liver transplant surgery in the Kasr El Einy Hospital, Cairo University (Cairo, Egypt). Due to the scarcity of healthy liver donors, only 10 liver biopsies were obtained from 10 healthy donors during liver transplantation operation. All HCC patients were HCV-positive, with no metastases or extrahepatic manifestations, and no invasion of the vascular system. The healthy donors did not suffer from diabetes or hypertension, and were negative for the hepatitis B virus (HBV) and HCV, as shown in <xref rid="tI-ol-0-0-4914" ref-type="table">Table I</xref>. In total, 70&#x0025; of the patients presented with &#x003E;1 focal lesion, as determined by the pathology report, and were subjected to clinical assessment according to the Milan criteria (<xref rid="b24-ol-0-0-4914" ref-type="bibr">24</xref>), as shown in <xref rid="tII-ol-0-0-4914" ref-type="table">Table II</xref>. All patients provided written informed consent, and the study was approved by the Ethical Review Committee of Cairo University. The study complies with the principles set forth in the Declaration of Helsinki and the International Ethical Guidelines For Biomedical Research Involving Human Subjects issued by the Council For International Organizations Of Medical Sciences, and as previously described (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
</sec>
<sec>
<title>Cell culture and transfection of oligonucleotides</title>
<p>Huh-7 cells (kindly provided by the Institute of Pathology, Heidelberg University, Heidelberg, Germany) were maintained in Dulbecco&#x0027;s modified Eagle&#x0027;s medium (DMEM; Lonza, Basel, Switzerland), supplemented with 4.5 g/l glucose, 4 mmol/l L-glutamine, 10&#x0025; fetal bovine serum (Lonza) and Mycozap (1:500; Lonza) (full DMEM) at 37&#x00B0;C, in a 5&#x0025; CO<sub>2</sub> atmosphere. The Huh-7 cells were transfected with miR-486-5p mimics and IGF-1R siRNAs as positive controls in this study (Qiagen GmbH, Hilden, Germany). All transfection experiments were performed in triplicates using HiPerfect Transfection Reagent (Qiagen GmbH) according to the manufacturer&#x0027;s instructions, and experiments were repeated three times. Cells that were only exposed to transfection reagent were designated as mock cells, cells transfected with miR-486-5p mimics were designated as miR-486-5p cells and cells transfected with IGF-1R siRNAs were designated as IGF-1R siRNA cells.</p>
</sec>
<sec>
<title>Total RNA extraction from liver biopsies and HCC cell lines</title>
<p>mRNAs and miRNAs were extracted from the liver biopsies and the HCC cells. Fresh liver samples (HCC and healthy tissues) were collected during surgery and snap-frozen in liquid nitrogen. The specimens were manually pulverized in liquid nitrogen and ~100 mg of tissue powder was used for large and small RNA extraction using the mirVana miRNA Isolation Kit (Ambion; Thermo Fisher Scientific Inc., Waltham, MA, USA) according to the manufacturer&#x0027;s instructions. The HCC cells were harvested at 48 h post-transfection according to the HiPerfect Transfection Reagent protocol: 37.5 ng oligonucleotides were used for Huh-7 cell transfection in a 24-well plate. A spectrophotometer was used to quantify the yield of RNA, and RNA integrity was tested by 18s rRNA band detection using 1&#x0025; agarose gel electrophoresis. The ratio of absorbance at 260 and 280 nm was used to assess the purity and quantity of RNA yield. A ratio of ~2.0 is generally accepted as &#x2018;pure&#x2019; for RNA. Thus, RNA samples with absorbance values outside the range of 1.8&#x2013;2 were excluded from the study, as previously described (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
</sec>
<sec>
<title>miRNA and mRNA quantification</title>
<p>The extracted miRNAs were reverse transcribed into single-stranded complementary DNA (cDNA) using a TaqMan MicroRNA Reverse Transcription (RT) kit (Applied Biosystems; Thermo Fisher Scientific Inc.) and specific primers ((Applied Biosystems; Thermo Fisher Scientific Inc.) for hsa-miR-486-5p and RNU6B. IGF-1R, STAT3, mTOR and c-Myc mRNAs were reverse transcribed into cDNA using the High-capacity cDNA RT kit (Applied Biosystems; Thermo Fisher Scientific Inc.) according to the manufacturer&#x0027;s instructions. The relative expression of miR-486-5p and RNU6B (as a housekeepong gene for normalization), as well as IGF-1R, STAT3, mTOR, c-Myc and &#x03B2;-2-microglobulin (&#x03B2;2M; as a housekeeping gene for normalization) was quantified using TaqMan RT-quantitative polymerase chain reaction (qPCR; Applied Biosystems Assay IDs: 0002470, 001093, Hs00609566_m1, Hs00374280_m1, Hs00234508_m1, Hs00153408_m1 and Hs00984230_m1, respectively) on a StepOne&#x2122; Real Time PCR instrument (Applied Biosystems; Thermo Fisher Scientific Inc.). For every sample, a reaction mix was prepared according to the manufacturer&#x0027;s instructions, and 4 &#x00B5;l of the respective cDNA was added. The RT-qPCR run was performed in the standard mode, consisting of two stages: A first 10-min stage at 95&#x00B0;C where the Taq-polymerase enzyme was activated, followed by a second stage of 40 amplification cycles (15 sec at 95&#x00B0;C and 60 sec at 60&#x00B0;C). Relative expression was calculated using the 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> method, as previously described (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
<p>All PCR reactions including controls were run in triplicate reactions.</p>
</sec>
<sec>
<title>Cellular viability</title>
<p>In order to determine cellular viability, using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, 10,000 Huh-7 cells were seeded in 200 &#x00B5;l of culture media (full DMEM) per well in a 96-well plate and incubated 24 h prior to transfection with 12.5 ng miR-486-5p mimics or IGF-1R siRNAs (according to the HiPerfect protocol; Qiagen GmbH). At 48 h post-transfection, 20 &#x00B5;l MTT solution (5 mg/ml MTT in phosphate-buffered saline) was added to each well. Subsequent to incubation for 5 h, formazan (MTT metabolic product) was re-suspended in 200 &#x00B5;l dimethyl sulfoxide. Colorimetric measurements and absorbance were performed using a Wallac 1420 Victor2 Multilabel Counter (Perkin Elmer Inc., Waltham, MA, USA), as previously described (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
<p>All cell viability experiments were performed in quadrate and repeated 5 times.</p>
</sec>
<sec>
<title>Cellular proliferation</title>
<p>In order to determine cellular proliferation, a BrdU incorporation assay was used. The Huh-7 cells were seeded 24 h prior to transfection into black 96-well plates and transfected with 12.5 ng oligonucleotides (according to the HiPerfect protocol; Qiagen GmbH) with an initial constant cell count of 5&#x00D7;10<sup>4</sup> cells/well. At 48 h post-oligonucleotide transfection, the cells were labeled with BrdU labeling reagent for 4 h (with a final concentration of 100 &#x00B5;M) using the Cell Proliferation ELISA kit (Roche Applied Science, Penzberg, Germany). The cells were then fixed using FixDenate for 30 min and incubated with Anti-BrdU POD (with a final concentration of 10 &#x00B5;M) for 90 min, as previously described (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
<p>All cellular proliferation experiments were performed in quadrate and repeated 5 times.</p>
</sec>
<sec>
<title>Growth assays</title>
<sec>
<title>Colony-forming assay</title>
<p>Huh-7 cells (1,500 cells/well) were seeded and left to adhere overnight. At 48 h post-transfection, the cells were detached and imbedded in soft agarose; the bottom layer was prepared with 0.76&#x0025; agarose and the top layer with 0.36&#x0025; agarose, in culture media (full DMEM). The cells were incubated at 37&#x00B0;C for 2 weeks to allow for colonization. The colonies were then stained with crystal violet dye and their numbers were counted per well. All colony-forming assays were performed in triplicate (3 wells/test) and repeated 5 times, as described previously (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
</sec>
<sec>
<title>Cell scratch wound healing assay</title>
<p>Huh-7 cells were left in 24-well plates until they had reached 85&#x2013;95&#x0025; confluence. At 48 h post-transfection, 3 scratches/well were made in each plate with a 20-&#x00B5;l pipette tip. Serum-free medium was used to wash off detached cells. Culture medium (full DMEM) was then added, and the culture plates were incubated at 37&#x00B0;C, in a 5&#x0025; CO2 atmosphere. At 24 h post-scratching, migration was documented, and the quantification of wound closure was performed using Zen2012 software by measuring the surface area of the scratch. All scratch assays were performed in triplicate (3 wells/test, representing 9 scratches/test) and repeated 3 times, as described previously (<xref rid="b20-ol-0-0-4914" ref-type="bibr">20</xref>,<xref rid="b25-ol-0-0-4914" ref-type="bibr">25</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>A Mann-Whitney U test was performed to compare gene expression between two independent groups. P&#x003C;0.05 was considered to indicate a statistically significant difference. All the data were statistically analyzed using <italic>GraphPad Prism 5.0 (Graphpad Software Inc., La Jolla, CA, USA)</italic>.</p>
</sec>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Screening of miR-486-5p in healthy liver tissues, HCV-induced HCC liver tissues and Huh-7 cell lines</title>
<p>miR-486-5p exhibited significant downregulation in the HCV-induced HCC tissues (P=0.0022) and Huh-7 cell lines (P=0.0121) when compared with the liver tissues obtained from healthy donors (<xref rid="f2-ol-0-0-4914" ref-type="fig">Fig. 2A</xref>).</p>
</sec>
<sec>
<title>Impact of miR-486-5p on its target IGF-1R and its downstream mediators in Huh-7 cells</title>
<p>The ectopic expression of miR-486-5p in the Huh-7 cells resulted in significant downregulation of the mRNA levels of IGF-1R and its downstream mediators mTOR, STAT3 and c-Myc compared with those of the mock cells (P=0.0003, P=0.0472, P=0.0086 and P=0.0159, respectively) (<xref rid="f2-ol-0-0-4914" ref-type="fig">Fig. 2B</xref>).</p>
</sec>
<sec>
<title>Functional analysis of miR-486-5p in Huh-7 cell lines</title>
<p>After proving the impact of miR-486-5p on IGF-1R and its downstream signaling cascades, given that miR-486-5p has been rarely investigated in HCC and has never been functionally analyzed in Huh-7 cell lines, several functional analysis experiments were performed to evaluate the overall effect of miR-486-5p on various characteristic properties of tumor cells.</p>
</sec>
<sec>
<title>Impact of miR-486-5p on cellular viability and proliferation</title>
<p>An MTT assay was used for investigating cell viability and growth. Transfection with miR-486-5p mimics led to a significant decline in cellular viability compared with that in the mock cells (P=0.0301), in the same manner as the positive control IGF-1R siRNAs used in the study (<xref rid="f3-ol-0-0-4914" ref-type="fig">Fig. 3A</xref>).</p>
<p>A BrdU incorporation assay was used for investigating cell proliferation and growth. Forcing the expression of miR-486-5p significantly reduced cellular proliferation compared with the mock Huh-7 cells (P=0.0325), in the same manner as the IGF-1R siRNAs (<xref rid="f3-ol-0-0-4914" ref-type="fig">Fig. 3B</xref>).</p>
</sec>
<sec>
<title>Impact of miR-486-5p on cellular migration in Huh-7 cells</title>
<p>Images for the two-dimensional scratch-migration assay were documented at 10-fold magnification. Cellular migration was calculated as the percentage of wound closure. Representative pictures of the scratches are shown in <xref rid="f4-ol-0-0-4914" ref-type="fig">Fig. 4A</xref>. The transfection of the Huh-7 cells with miR-486-5p mimics led to a marked reduction in tumor cell migration compared with that in the mock cells (P=0.0286), which was comparable to the effect of IGF-1R siRNAs (<xref rid="f4-ol-0-0-4914" ref-type="fig">Fig. 4B</xref>).</p>
</sec>
<sec>
<title>Impact of miR-486-5p on cellular anchorage-independent growth in Huh-7 cells</title>
<p>miR-486-5p intended overexpression resulted in a considerable inhibition of colony formation (26.7&#x00B1;2.4) in the Huh-7 cells compared with the mock cells (114.3&#x00B1;7.9), which was comparable to the positive control knockdown cells that were transfected with IGF-1R siRNAs (22.4&#x00B1;2.8) (<xref rid="f5-ol-0-0-4914" ref-type="fig">Fig. 5</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Deregulation of the IGF-axis is renowned to contribute to each stage of HCC progression and treatment resistance (<xref rid="b1-ol-0-0-4914" ref-type="bibr">1</xref>,<xref rid="b26-ol-0-0-4914" ref-type="bibr">26</xref>&#x2013;<xref rid="b28-ol-0-0-4914" ref-type="bibr">28</xref>). On the other hand, studies have identified few potential targets for miR-486-5p, including the antiapoptotic factor olfactomedin-4 (<xref rid="b29-ol-0-0-4914" ref-type="bibr">29</xref>), Rho GTPase-activating protein 5 (<xref rid="b30-ol-0-0-4914" ref-type="bibr">30</xref>), the tumor suppressor phosphatase and tensin homolog (<xref rid="b31-ol-0-0-4914" ref-type="bibr">31</xref>), the proto-oncogene Pim-1 kinase (<xref rid="b32-ol-0-0-4914" ref-type="bibr">32</xref>) and the chief gatekeeper of the IGF-axis IGF-1R, which was also reported to be a validated target for miR-486-5p in lung cancer (<xref rid="b23-ol-0-0-4914" ref-type="bibr">23</xref>) thus rendering it as a potential candidate for investigation in HCC.</p>
<p>Studies investigating miR-486-5p in HCC are scarce, and its expression profile has not previously been investigated in HCV-induced HCC liver tissues. Therefore, the present study aimed to screen for miR-486-5p in HCV-induced HCC liver tissues compared with healthy liver tissues. Significant downregulation of miR-486-5p was found in the HCV-induced HCC tissues, as well as in Huh-7 cells (<xref rid="f2-ol-0-0-4914" ref-type="fig">Fig. 2</xref>). This corroborates a recent study performed on Chinese patients in which miR-486-5p was also downregulated in HBV-induced HCC tissues (<xref rid="b33-ol-0-0-4914" ref-type="bibr">33</xref>).</p>
<p>It is important to note that miR-486-5p has also been found to be downregulated in numerous other cancer types, including pancreatic cancer (<xref rid="b34-ol-0-0-4914" ref-type="bibr">34</xref>), gastric cancer (<xref rid="b29-ol-0-0-4914" ref-type="bibr">29</xref>), osteosarcoma (<xref rid="b35-ol-0-0-4914" ref-type="bibr">35</xref>), and lung cancer (<xref rid="b23-ol-0-0-4914" ref-type="bibr">23</xref>), however, the mechanism of miR-486-5p downregulation in those types of cancer, including HCC, is largely unknown. According to previous studies, miR-486-5p downregulation in HCC tissues could be highly accredited to its chromosomal location (8p11.21), which is one of the most typically occurring genomic deletion regions, containing potential tumor suppressor genes (<xref rid="b29-ol-0-0-4914" ref-type="bibr">29</xref>). Epigenetic silencing through DNA methylation and/or histone deacetylation could also be one of the reasons for miR-486-5p downregulation, particularly in HCV-induced HCC tissues, as HCV core protein was recently reported to directly induce DNA methylation in HCC tissues (<xref rid="b36-ol-0-0-4914" ref-type="bibr">36</xref>,<xref rid="b37-ol-0-0-4914" ref-type="bibr">37</xref>). However, further studies are required to investigate the exact mechanisms underlying miR-486-5p suppression in HCC.</p>
<p>To elucidate the molecular mechanism of miR-486-5p in HCC, the IGF-axis was the main concern of the present study. miR-486-5p was found to negatively regulate its validated target IGF-1R in Huh-7 cells. Nevertheless, miR-486-5p was able to block the IGF-signaling pathways downstream of IGF-1R, namely the PI3K/AKT/mTOR, JAK/STAT and RAS/RAF/MAPK pathways, by the downregulation of mTOR, STAT3 and c-Myc mRNA levels, respectively (<xref rid="f2-ol-0-0-4914" ref-type="fig">Fig. 2</xref>). This could be a direct or indirect effect of miR-486-5p on the downstream mediators, as bioinformatically, miR-486-5p was predicted to target the 3&#x2032;-UTR of STAT3. By contrast, miR-486-5p was recently found to target an upstream regulator of PI3K/AKT/mTOR known as p85&#x03B1;, thus inhibiting the activation of the PI3K/AKT/mTOR pathway and its interlocked RAS/RAF/MAPK signaling cascade, and indirectly acting as a repressor for mTOR and c-Myc transcription (<xref rid="b33-ol-0-0-4914" ref-type="bibr">33</xref>,<xref rid="b38-ol-0-0-4914" ref-type="bibr">38</xref>). It is important to note that due to the limited efficacy of IGF-1R inhibitors as a single therapy in HCC and the compensatory activation of downstream signaling pathways resulting in drug resistance (<xref rid="b9-ol-0-0-4914" ref-type="bibr">9</xref>&#x2013;<xref rid="b13-ol-0-0-4914" ref-type="bibr">13</xref>), a combination of agents targeting multiple molecules in IGF-axis, known as vertical blockade, were previously evaluated in several preclinical studies, and synergistic anti-cancer efficacy was demonstrated (<xref rid="b39-ol-0-0-4914" ref-type="bibr">39</xref>,<xref rid="b40-ol-0-0-4914" ref-type="bibr">40</xref>). However, the current study nominates miR-486-5p as a single endogenous biological molecule that could vertically and horizontally block the IGF-signaling pathway, as miR-486-5p was not only able to repress the downstream signaling cascades of IGF-1R, but it could also repress the mRNA level of its other validated target IGF-1, the main ligand of the IGF-axis (<xref rid="b23-ol-0-0-4914" ref-type="bibr">23</xref>) in Huh-7 cells (Youness <italic>et al</italic>, unpublished data). This feature ranks miR-486-5p as a possible therapeutic target for HCC, with an expected synergistic anti-tumor effect and reduced resistance compared with any other IGF-1R inhibitors. Further investigations are required to experimentally validate the superiority of miR-486-5p over other IGF-1R inhibitors in the treatment of HCC.</p>
<p>Due to the fact that miR-486-5p was found to have a dual action and can function as a cancer-specific tumor suppressor, as in gastric cancer (<xref rid="b29-ol-0-0-4914" ref-type="bibr">29</xref>) and non-small cell lung cancer (<xref rid="b23-ol-0-0-4914" ref-type="bibr">23</xref>,<xref rid="b30-ol-0-0-4914" ref-type="bibr">30</xref>), or as an aggressive oncomiR as in case of colorectal cancer (<xref rid="b41-ol-0-0-4914" ref-type="bibr">41</xref>) and glioblastoma (<xref rid="b42-ol-0-0-4914" ref-type="bibr">42</xref>), it was tempting to mechanistically investigate the role for miR-486-5p as either a tumor suppressor miRNA or an oncomiR in HCC. In the current study, miR-486-5p was shown to act as a tumor suppressor miRNA in HCC as it markedly reduced the Huh-7 cell viability, proliferation, migration and clonogenicity in a similar pattern to that exhibited by IGF-1R siRNAs (<xref rid="f3-ol-0-0-4914" ref-type="fig">Figs. 3</xref>&#x2013;<xref rid="f5-ol-0-0-4914" ref-type="fig">5</xref>). These results are in line with those of a recent study performed on QGY-7701 and QGY-7703 HCC cell lines, which reported that miR-486-5p also repressed the migration and induced apoptosis of those types of cells (<xref rid="b33-ol-0-0-4914" ref-type="bibr">33</xref>).</p>
<p>In conclusion, the potential role of miR-486-5p in vertically and horizontally blocking the IGF-axis, represented by repressing the expression levels of IGF-1R and its downstream mediators mTOR, STAT3 and c-Myc in Huh-7 cells, was investigated in this study. Mechanistically, miR-486-5p was found to act as a potential tumor suppressor miRNA in HCC. Further studies are required to determine if miR-486-5p could be used as a potential therapeutic target for the treatment of HCC.</p>
</sec>
</body>
<back>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>HCC</term><def><p>hepatocellular carcinoma</p></def></def-item>
<def-item><term>IGF-1R</term><def><p>insulin-like growth factor 1 receptor</p></def></def-item>
<def-item><term>BrdU</term><def><p>bromodeoxyuridine</p></def></def-item>
<def-item><term>STAT3</term><def><p>signal transducer and activator of transcription 3</p></def></def-item>
<def-item><term>mTOR</term><def><p>mammalian target of rapamcyin</p></def></def-item>
<def-item><term>MTT</term><def><p>3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide</p></def></def-item>
</def-list>
</glossary>
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<floats-group>
<fig id="f1-ol-0-0-4914" position="float">
<label>Figure 1.</label>
<caption><p>Schematic diagram of the IGF-1R downstream signaling cascades. IGF-1 acts as a ligand to IGF-1R. Autophosphorylation and recruitment of the adaptor proteins IRS-1, IRS-2 and Shc occurs. The interaction of IRS-1 and IRS-2 with IGF-1R induces the activation of PI3K. PI3K converts PIP2 to PIP3, which codes for the activation of AKT and consequently the dis-inhibition of mTOR oncoprotein. In parallel, Shc activation induces the activation of the RAS/RAF/MAPK pathway, which results in activation and phosphorylation of c-Myc transcription factor. Another signaling cascade downstream of IGF-1R is the JAK/STAT pathway, where direct activation of Jak kinases occurs, leading to the activation and phosphorylation of several STAT molecules. The most important of these, STAT3, acts as a transcription factor for numerous oncogenes. IGF-1, insulin-like growth factor 1; IGF-1R, IGF-1 receptor; IRS, insulin receptor substrate; PI3K, phosphatidylinositol 3-kinase; PIP2, phosphatidylinositol 4,5-bisphosphate; PIP3, phosphatidylinositol 3,4,5-trisphosphate; mTOR, mammalian target of rapamycin; MAPK, mitogen-activate protein kinase; JAK, Janus kinase; STAT, signal transducer and activator of transcription.</p></caption>
<graphic xlink:href="ol-12-04-2567-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-4914" position="float">
<label>Figure 2.</label>
<caption><p>Screening of miR-486-5p in HCC tissues and Huh-7 cells, and the impact of ectopic expression of miR-486-5p on IGF-1R and its downstream mediators in Huh-7 cells. (A) Screening of miR-486-5p in liver tissues showed significant downregulation in the liver tissues obtained from the HCC patients (P=0.0022) and in the Huh-7 cells (P=0.0121) when compared with normal liver tissues. (B) Forcing the expression of miR-486-5p in Huh-7 cells resulted in the repression of IGF-1R mRNA expression compared with that of the mock cells (P=0.0003). Similarly, STAT3, mTOR and c-Myc mRNA levels were also found to be significantly downregulated compared with those of the mock cells (P=0.0472, P=0.0086 and P=0.0159, respectively). &#x002A;P&#x003C;0.05, &#x002A;&#x002A;P&#x003C;0.01 and &#x002A;&#x002A;&#x002A;P&#x003C;0.001. HCC, hepatocellular carcinoma; IGF-1, insulin-like growth factor 1; IGF-1R, IGF-1 receptor; mTOR, mammalian target of rapamycin; STAT, signal transducer and activator of transcription; miR, microRNA; RQ, relative quantification.</p></caption>
<graphic xlink:href="ol-12-04-2567-g01.jpg"/>
</fig>
<fig id="f3-ol-0-0-4914" position="float">
<label>Figure 3.</label>
<caption><p>Impact of miR-486-5p on cellular viability and proliferation. (A) 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay: Similar to positive control knockdown cells transfected with IGF-1R siRNAs, miR-486-5p mimic Huh-7 cells showed a significant decrease in the cellular viability compared with the mock cells (P=0.0301). (B) BrdU assay: Similar to IGF-1R siRNAs, miR-486-5p-transfected cells showed a significant reduction in cellular proliferation compared with the mock cells (P=0.0325). &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01. OD, optical density; siRNA, small interfering RNA; IGF-1R, insulin-like growth factor 1 receptor; miR, microRNA.</p></caption>
<graphic xlink:href="ol-12-04-2567-g02.jpg"/>
</fig>
<fig id="f4-ol-0-0-4914" position="float">
<label>Figure 4.</label>
<caption><p>Impact of miR-486-5p on cellular migration. (A) Representative images taken of scratches at the 0 and 24 h time points. Areas of scratches were measured using Zen2012 software. Cellular migration was calculated as the percentage of wound closure. (B) Similar to the positive control knockdown cells transfected with IGF-1R siRNAs, miR-486-5p mimic cells showed a significant reduction in tumor cell migration compared with the mock cells (P=0.0286). &#x002A;P&#x003C;0.05. siRNA, small interfering RNA; IGF-1R, insulin-like growth factor 1 receptor; miR, microRNA.</p></caption>
<graphic xlink:href="ol-12-04-2567-g03.jpg"/>
</fig>
<fig id="f5-ol-0-0-4914" position="float">
<label>Figure 5.</label>
<caption><p>Impact of miR-486-5p on anchorage-independent growth. (A) Representative images of plates showing colonies stained with crystal violet solution at 2 weeks post-incubation. (B) IGF-1R siRNAs and miR-486-5p mimics with noticeably decreased clonogenicity compared with the mock cells. &#x002A;P&#x003C;0.05. siRNA, small interfering RNA; IGF-1R, insulin-like growth factor 1 receptor; miR, microRNA.</p></caption>
<graphic xlink:href="ol-12-04-2567-g04.jpg"/>
</fig>
<table-wrap id="tI-ol-0-0-4914" position="float">
<label>Table I.</label>
<caption><p>Characteristic features of HCV-induced HCC patients (n=20) and healthy controls (n=10).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">HCC patients</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Age (range), years<sup><xref rid="tfn1-ol-0-0-4914" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">48.8&#x00B1;7.8 (40.0&#x2013;63.0)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Males/females, n</td>
<td align="center" valign="top">19/1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Alcohol abuse</td>
<td align="center" valign="top">None</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;AST, U/l<sup><xref rid="tfn1-ol-0-0-4914" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">100.5&#x00B1;65.8</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;ALT, U/l<sup><xref rid="tfn1-ol-0-0-4914" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;85.6&#x00B1;95.6</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;ALP, U/l<sup><xref rid="tfn1-ol-0-0-4914" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">110.2&#x00B1;60.7</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Serum albumin, g/dl<sup><xref rid="tfn1-ol-0-0-4914" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;4.6&#x00B1;1.5</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Serum AFP, ng/ml<sup><xref rid="tfn1-ol-0-0-4914" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">155.7&#x00B1;22.3</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HCV Ab, &#x0025; (n)</td>
<td align="center" valign="top">100.0 (20)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HBV Ab, &#x0025; (n)</td>
<td align="center" valign="top">15.0 (3)</td>
</tr>
<tr>
<td align="left" valign="top">Healthy controls (liver donors)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD age (range), years</td>
<td align="center" valign="top">32.1&#x00B1;7.1 (21.0&#x2013;42.0)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Males/females, n</td>
<td align="center" valign="top">7/3</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Alcohol abuse</td>
<td align="center" valign="top">None</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HCV Ab, &#x0025; (n)</td>
<td align="center" valign="top">0.0 (0)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HBV Ab, &#x0025; (n)</td>
<td align="center" valign="top">0.0 (0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-4914"><label>a</label><p>Data are presented as mean &#x00B1; standard deviation. HCC, hepatocellular carcinoma; HCV, hepatitis C virus; HBV, hepatitis B virus; SD, standard deviation; Ab, antibody; AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase; AFP, &#x03B1;-fetoprotein.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-4914" position="float">
<label>Table II.</label>
<caption><p>Number/sizes of lesions according to the Milan criteria (24).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Patient no.</th>
<th align="center" valign="bottom">Number of lesions</th>
<th align="center" valign="bottom">Size of lesions, cm</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">1.5, 1 and 1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">Unifocal</td>
<td align="center" valign="top">2.5</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">2, 2.5, 3</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">2, 2, 3.5</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">Unifocal</td>
<td align="center" valign="top">1.5&#x00D7;2</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">3&#x00D7;4, 1 and 1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">Unifocal</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">4, 1 and 1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">1, 1 and 1.5</td>
</tr>
<tr>
<td align="left" valign="top">10</td>
<td align="center" valign="top">Unifocal</td>
<td align="center" valign="top">2.5</td>
</tr>
<tr>
<td align="left" valign="top">11</td>
<td align="center" valign="top">2 focal lesions</td>
<td align="center" valign="top">1 and 1.7</td>
</tr>
<tr>
<td align="left" valign="top">12</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">1, 1 and 1</td>
</tr>
<tr>
<td align="left" valign="top">13</td>
<td align="center" valign="top">Unifocal</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">14</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">3, 1.5 and 2</td>
</tr>
<tr>
<td align="left" valign="top">15</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">1, 1 and 4</td>
</tr>
<tr>
<td align="left" valign="top">16</td>
<td align="center" valign="top">2 focal lesions</td>
<td align="center" valign="top">3 and 1.5</td>
</tr>
<tr>
<td align="left" valign="top">17</td>
<td align="center" valign="top">2 focal lesions</td>
<td align="center" valign="top">1.5 and 3</td>
</tr>
<tr>
<td align="left" valign="top">18</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">2.5, 2.5 and 1.5</td>
</tr>
<tr>
<td align="left" valign="top">19</td>
<td align="center" valign="top">3 focal lesions</td>
<td align="center" valign="top">1.5, 1 and 1</td>
</tr>
<tr>
<td align="left" valign="top">20</td>
<td align="center" valign="top">Unifocal</td>
<td align="center" valign="top">2</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</article>
