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<front>
<journal-meta>
<journal-id journal-id-type="pmc">OR</journal-id>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-id journal-id-type="publisher-id">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Research</journal-title>
</journal-title-group>
<issn pub-type="ppub">0965-0407</issn>
<issn pub-type="epub">1555-3906</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">30395</article-id>
<article-id pub-id-type="doi">10.32604/or.2023.030395</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Long non-coding RNA H19 promotes proliferation in hepatocellular carcinoma cells via H19/miR-107/CDK6 axis</article-title><alt-title alt-title-type="left-running-head">Long non-coding RNA H19 promotes proliferation in hepatocellular carcinoma cells via H19/miR-107/CDK6 axis</alt-title><alt-title alt-title-type="right-running-head">Long non-coding RNA H19 promotes proliferation in hepatocellular carcinoma cells</alt-title>
</title-group>
<contrib-group>
<contrib id="author-1" contrib-type="author">
<name name-style="western"><surname>NOKKEAW</surname><given-names>ARCHITTAPON</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-2">2</xref>
<xref ref-type="aff" rid="aff-3">3</xref><xref ref-type="author-notes" rid="afn1">#</xref>
</contrib>
<contrib id="author-2" contrib-type="author">
<name name-style="western"><surname>THAMJAMRASSRI</surname><given-names>PANNATHON</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-2">2</xref>
<xref ref-type="aff" rid="aff-3">3</xref><xref ref-type="author-notes" rid="afn1">#</xref>
</contrib>
<contrib id="author-3" contrib-type="author">
<name name-style="western"><surname>CHANTARAVISOOT</surname><given-names>NAPHAT</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-4">4</xref>
</contrib>
<contrib id="author-4" contrib-type="author" corresp="yes">
<name name-style="western"><surname>TANGKIJVANICH</surname><given-names>PISIT</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-2">2</xref><email>pisittkvn@yahoo.com</email>
</contrib>
<contrib id="author-5" contrib-type="author" corresp="yes">
<name name-style="western"><surname>ARIYACHET</surname><given-names>CHAIYABOOT</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-2">2</xref><email>Chaiyaboot.A@Chula.ac.th</email>
<email>cariyach@gmail.com</email>
</contrib>
<aff id="aff-1"><label>1</label><institution>Department of Biochemistry, Faculty of Medicine, Chulalongkorn University</institution>, <addr-line>Bangkok, 10330</addr-line>, <country>Thailand</country></aff>
<aff id="aff-2"><label>2</label><institution>Center of Excellence in Hepatitis and Liver Cancer, Faculty of Medicine, Chulalongkorn University</institution>, <addr-line>Bangkok, 10330</addr-line>, <country>Thailand</country></aff>
<aff id="aff-3"><label>3</label><institution>Department of Biochemistry, Medical Biochemistry Program, Faculty of Medicine, Chulalongkorn University</institution>, <addr-line>Bangkok, 10330</addr-line>, <country>Thailand</country></aff>
<aff id="aff-4"><label>4</label><institution>Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University</institution>, <addr-line>Bangkok, 10330</addr-line>, <country>Thailand</country></aff>
</contrib-group><author-notes><corresp id="cor1"><label>&#x002A;</label>Address correspondence to: Pisit Tangkijvanich, <email>pisittkvn@yahoo.com</email>; Chaiyaboot Ariyachet, <email>Chaiyaboot.A@Chula.ac.th</email>, <email>cariyach@gmail.com</email></corresp>
<fn id="afn1">
<p><sup>#</sup>These authors contributed equally to this work</p>
</fn></author-notes>
<pub-date date-type="collection" publication-format="electronic">
<year>2023</year></pub-date>
<pub-date date-type="pub" publication-format="electronic"><day>15</day><month>9</month><year>2023</year></pub-date>
<volume>31</volume>
<issue>6</issue>
<fpage>989</fpage>
<lpage>1005</lpage>
<history>
<date date-type="received"><day>03</day><month>4</month><year>2023</year></date>
<date date-type="accepted"><day>12</day><month>7</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Nokkeaw et al.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Nokkeaw et al.</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_OR_30395.pdf"></self-uri>
<abstract>
<p>Hepatocellular carcinoma (HCC) is the leading cause of cancer death worldwide; nevertheless, current therapeutic options are limited or ineffective for many patients. Therefore, elucidation of molecular mechanisms in HCC biology could yield important insights for the intervention of novel therapies. Recently, various studies have reported dysregulation of long non-coding RNAs (lncRNAs) in the initiation and progression of HCC, including H19; however, the biological function of H19 in HCC remains unclear. Here, we show that knockdown of H19 disrupted HCC cell growth, impaired the G1-to-S phase transition, and promoted apoptosis, while overexpression of H19 yielded the opposite results. Screening for expression of cell cycle-related genes revealed a significant downregulation of CDK6 at both RNA and protein levels upon H19 suppression. Bioinformatic analysis of the H19 sequence and the 3&#x2032; untranslated region (3&#x2032; UTR) of <italic>CDK6</italic> transcripts showed several binding sites for microRNA-107 (miR-107), and the dual luciferase reporter assay confirmed their direct interaction with miR-107. Consistently, blockage of miR-107 activity alleviated the growth suppression phenotypes induced by H19 downregulation, suggesting that H19 serves as a molecular sponge for miR-107 to promote CDK6 expression and cell cycle progression. Together, this study demonstrates a mechanistic function of H19 in driving the proliferation of HCC cells and suggests H19 suppression as a novel approach for HCC treatment.</p>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>HCC</kwd>
<kwd>H19</kwd>
<kwd>Long-noncoding RNA</kwd>
<kwd>MicroRNA</kwd>
<kwd>Cyclin-dependent kinase</kwd>
<kwd>CDK6</kwd>
</kwd-group>
<funding-group>
<award-group id="awg1">
<funding-source>Thailand Science Research and Innovation Fund Chulalongkorn University</funding-source>
<award-id>CU_FRB65_hea (46)_053_30_34</award-id>
</award-group>
<award-group id="awg2">
<funding-source>Ratchadapiseksompotch Fund, Faculty of Medicine, Chulalongkorn University</funding-source>
<award-id>RA 66/017</award-id>
</award-group>
<award-group id="awg3">
<funding-source>Thailand Research Fund (TRF) Senior Research Scholar</funding-source>
<award-id>RTA6280004</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and accounts for more than 75% of liver cancer cases, with the highest incidence in Asian countries [<xref ref-type="bibr" rid="ref-1">1</xref>,<xref ref-type="bibr" rid="ref-2">2</xref>]. HCC develops in patients with risk factors such as viral hepatitis, alcohol addiction, and metabolic-associated fatty liver disease (MAFLD) [<xref ref-type="bibr" rid="ref-3">3</xref>]. Although the mortality rates of HCC have increased in many countries over the past decade, the therapy for HCC remains challenging due to late diagnosis and limited treatment options [<xref ref-type="bibr" rid="ref-4">4</xref>,<xref ref-type="bibr" rid="ref-5">5</xref>]. Thus, improved understanding of the molecular pathogenesis of HCC is required for the discovery of novel diagnostic markers and therapeutic targets.</p>
<p>In recent years, various studies have observed dysregulation of long non-coding RNAs (lncRNAs) in the initiation and progression of HCC [<xref ref-type="bibr" rid="ref-6">6</xref>]. In particular, the lncRNA H19 has been found to be overexpressed in HCC tumors, and patients with high expression of <italic>H19</italic> have a poor prognosis [<xref ref-type="bibr" rid="ref-7">7</xref>&#x2013;<xref ref-type="bibr" rid="ref-12">12</xref>]. The maternally imprinted lncRNA H19 is strongly expressed during embryogenesis and controls embryonic growth as well as expression of the Imprinted Gene Network [<xref ref-type="bibr" rid="ref-13">13</xref>&#x2013;<xref ref-type="bibr" rid="ref-15">15</xref>].</p>
<p>However, the biological function of H19 in cancers, including HCC, remains controversial. While most HCC studies support its oncogenic function, a few report the opposite results [<xref ref-type="bibr" rid="ref-16">16</xref>,<xref ref-type="bibr" rid="ref-17">17</xref>]. Therefore, further investigation into the molecular mechanisms of H19 in cellular function would help resolve its complex role and advance our understanding of H19 in the pathophysiology of HCC.</p>
<p>H19 has been shown to be involved in multiple processes in the initiation and progression of HCC, including cell proliferation, apoptosis, invasion, drug resistance, and metastasis [<xref ref-type="bibr" rid="ref-16">16</xref>,<xref ref-type="bibr" rid="ref-17">17</xref>]. Nevertheless, the role of H19 in regulation of the cell cycle remains to be further explored. Sustaining proliferative forces along with insensitivity to antigrowth signals is considered a hallmark of cancer cells [<xref ref-type="bibr" rid="ref-18">18</xref>]. Altered expression of cell cycle-related genes such as cyclin-dependent kinases (CDKs) and their associated cyclins is observed during the transformation of normal cells into malignant cancers [<xref ref-type="bibr" rid="ref-19">19</xref>]. Recent research on lncRNAs shows that many of them are critical for the regulation of cell cycle-related genes via various mechanisms at the transcriptional and post-transcriptional levels [<xref ref-type="bibr" rid="ref-20">20</xref>,<xref ref-type="bibr" rid="ref-21">21</xref>]. Dysregulation of these cell cycle regulatory lncRNAs is associated with various cancers and could promote tumorigenesis [<xref ref-type="bibr" rid="ref-20">20</xref>,<xref ref-type="bibr" rid="ref-21">21</xref>]. Thus, molecular studies of the lncRNA function in the cell cycle might lead to the identification of novel targets for cancer therapy or diagnosis. In this work, we aim to explore the role of the lncRNA H19 in regulating the cell cycle of HCC cells and dissect the molecular mechanisms underlying the oncogenic function of H19.</p>
</sec>
<sec id="s2">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Cell culture</title>
<p>Human THLE-2 and HepG2 cell lines were obtained from the American Type Culture Collection (ATCC, Manassas, VA, United States; Cat #CRL-2706 and HB-8065, respectively). JHH-4 and Huh7 cell lines were obtained from the Japanese Collection of Research Bioresources (JCRB) Cell Bank (Osaka, Japan; Cat #JCRB0435 and JCRB0403, respectively). THLE-2 cells were maintained in bronchial epithelial cell-growth medium (Lonza, Basel, Switzerland; Cat #CC-3171) with growth supplements according to the ATCC-recommended protocol. HepG2 and Huh7 cells were cultured in low glucose DMEM (Gibco, Detroit, MI, United States), supplemented with 10% fetal bovine serum (FBS) (Cytiva, Marlborough, MA, United States) and 1X Gibco&#x2122; Antibiotic-Antimycotic (Gibco, Detroit, MI, United States) in a humidified atmosphere of 5% CO<sub>2</sub> at 37&#x00B0;C. The culture medium and conditions for JHH-4 cells were similar to those of HepG2 and Huh7 cells, except for using Eagle&#x2019;s minimal essential medium (EMEM) as the basal medium.</p>
</sec>
<sec id="s2_2">
<title>Loss-of-function experiments</title>
<p>To inhibit the function of H19, we employed lentivirus-mediated short-hairpin RNA (shRNA) expression that can be temporally controlled by doxycycline (Dox) treatment [<xref ref-type="bibr" rid="ref-22">22</xref>]. Annealed oligonucleotides of H19-specific and control shRNA sequences were cloned into a lentiviral vector, Tet-LKO-Puro (AddGene Plasmid #21915), and confirmed for proper insertion by Sanger sequencing. Lentivirus was produced in HEK293FT cells and used to establish Dox-inducible shRNA cell lines as previously described [<xref ref-type="bibr" rid="ref-23">23</xref>]. To suppress the activity of microRNA-107 (miR-107), we cloned a sequence of antagomiR against miR-107 into Tet-LKO-Puro and established transgenic HCC lines with Dox-inducible expression of antagomiR. All primers used for cloning can be found in <xref ref-type="table" rid="table-1">Suppl. Table 1</xref>.</p>
</sec>
<sec id="s2_3">
<title>Gain-of-function experiments</title>
<p>A plasmid for overexpression of H19 (pcDNa3.1(&#x002B;)_A009-H19, AddGene Plasmid #122473) or a negative control plasmid was transfected into HCC cells using Lipofectamine&#x00AE; 3000 reagent (Invitrogen, Carlsbad, CA, United States) according to the manufacturer&#x2019;s protocol. A total of 500 ng of plasmid was used for transfection per well of a 24-well plate. Transfected cells were employed for subsequent analysis after 48 h posttransfection. For overexpression of miR-107, the pre-miRNA sequence of miR-107 was cloned into a lentiviral vector as previously described [<xref ref-type="bibr" rid="ref-23">23</xref>]. Primers used for cloning can be found in <xref ref-type="table" rid="table-1">Suppl. Table 1</xref>.</p>

</sec>
<sec id="s2_4">
<title>MTT, apoptosis, and bromodeoxyuridine (BrdU) assay</title>
<p>Cell proliferation was determined using an MTT-based colorimetric assay (Invitrogen, Carlsbad, CA, United States) according to the manufacturer&#x2019;s protocol. Briefly, cells were incubated in their basal medium containing 0.5 ug/mL of MTT for 60 min. Then, the insoluble formazan crystals were dissolved in DMSO and quantified by measuring the absorbance at 570 nanometers with a spectrophotometer. Detection of apoptosis was accomplished by the Caspase-Glo&#x00AE; 3/7 assay system (Promega, Madison, WI, United States) and staining with Apopxin Green Indicator (AbCam, Waltham, MA, United States) according to the manufacturers&#x2019; protocols. For BrdU incorporation, cells were incubated with culture medium supplemented with 10 &#x00B5;M BrdU (AbCam, Waltham, MA, United States) for 30&#x2013;60 min before fixation with 4% paraformaldehyde. Cells were permeabilized and denatured with 2 N hydrochloric acid prior to detection by immunofluorescence with an anti-BrdU antibody (1:200 dilution; Cat #sc-32323; Santa Cruz, Dallas, TX, United States), followed by incubation with Alexa Fluor 488-conjugated secondary antibodies (1:500; Cat #A-21206; Invitrogen, Carlsbad, CA, United States) and 300 nM DAPI (Invitrogen, Carlsbad, CA, United States). Cells were visualized by the EVOS M7000 cell imaging system (Invitrogen, Carlsbad, CA, United States), and DAPI<sup>&#x002B;</sup> and BrdU<sup>&#x002B;</sup> cells were counted by ImageJ software. Quantification of BrdU<sup>&#x002B;</sup> cells were performed from 10 random microscope fields, including &#x003E;2,000 nuclei for each group.</p>
</sec>
<sec id="s2_5">
<title>Cell cycle analysis</title>
<p>Cell cycle analysis was performed as previously described [<xref ref-type="bibr" rid="ref-24">24</xref>]. Briefly, HepG2 or JHH-4 cells were harvested, washed twice with phosphate-buffered saline (PBS), and then treated with 70% ice-cold ethanol overnight at &#x2212;20&#x00B0;C. Fixed cells were centrifuged at 600 g for 2 min, washed twice with PBS, and resuspended in a dye mixture containing 100 &#x03BC;g/mL RNase A (Thermo Scientific, Carlsbad, CA, United States; Cat #EN0531) and 50 &#x03BC;g/mL Propidium Iodide (Thermo Scientific, Carlsbad, CA, United States; Cat #P1304MP) in PBS. After overnight staining at 4&#x00B0;C, cells were analyzed for DNA content by the MACSQuant&#x00AE; X Flow Cytometer (Miltenyi Biotec, Gaithersburg, MD, USA). Flow cytometry data were analyzed and processed using FlowJo software (ver. 10.4, BD Biosciences Systems, San Diego, CA, USA) for differentiation of cells into G0/G1, S, and G2/M phases.</p>
</sec>
<sec id="s2_6">
<title>Analysis of mRNA and miRNA expression</title>
<p>RNA isolation, reverse transcription, and qRT-PCR analysis of mRNA and miRNA were performed as previously described [<xref ref-type="bibr" rid="ref-23">23</xref>]. Data were analyzed using the 2<sup>&#x2212;&#x0394;&#x0394;Ct</sup> method and normalized to expression of RPL19 and U6 for analysis of mRNA and miRNA, respectively. All primers used for qRT-PCR can be found in <xref ref-type="table" rid="table-1">Suppl. Table 1</xref>.</p>
</sec>
<sec id="s2_7">
<title>Western blot analysis</title>
<p>Protein lysates were prepared in RIPA lysis buffer, separated by 12% SDS-PAGE gel, and transferred to a nitrocellulose membrane (Cytiva, Marlborough, MA, United States) using a semi-dry method. Membranes were then probed overnight with the following primary antibodies against CDK6 (1:1,000; Santa Cruz; Cat #sc-7961), Cyclin A2 (CST, Danvers, MA, United States; Cat #4656T), PLK1 (CST; Cat #4513T), GAPDH (1:2,500; Invitrogen; Cat #437000), total Rb (1:500; Santa Cruz; Cat #sc-102), and phosphorylated Rb (1:1,000; CST; Cat #8516T for Ser807/811, #9307T for Ser780, and #9301T for Ser795). HRP-conjugated goat anti-mouse IgG and goat anti-rabbit IgG (1:5,000; CST; Cat #7076S and #7074, respectively) were used as secondary antibodies. Blots were imaged using a UVP ChemStudio instrument (Analytik Jena, Beverly, MA, United States). Uncropped blots were shown in <xref ref-type="fig" rid="fig-7">Suppl. Fig. 1</xref>.</p>
</sec>
<sec id="s2_8">
<title>Prediction of miRNA targets and dual luciferase reporter assay</title>
<p>Putative miRNA targets of H19 were obtained from LncBase (<ext-link ext-link-type="uri" xlink:href="https://www.microrna.gr/LncBase">www.microrna.gr/LncBase</ext-link>) and LncBook (<ext-link ext-link-type="uri" xlink:href="https://ngdc.cncb.ac.cn/lncbook">https://ngdc.cncb.ac.cn/lncbook</ext-link>) databases [<xref ref-type="bibr" rid="ref-25">25</xref>,<xref ref-type="bibr" rid="ref-26">26</xref>]. The hybridization pattern between miRNA and the 3&#x2032; untranslated region (3&#x2032; UTR) of <italic>CDK6</italic> was predicted by using the DIANA-microT web server (<ext-link ext-link-type="uri" xlink:href="http://www.microrna.gr/webServer">http://www.microrna.gr/webServer</ext-link>) and the RNA hybrid tool (<ext-link ext-link-type="uri" xlink:href="http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/">http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/</ext-link>) [<xref ref-type="bibr" rid="ref-27">27</xref>,<xref ref-type="bibr" rid="ref-28">28</xref>]. Wild-type and mutant sequences of H19 and <italic>CDK6</italic> 3&#x2032; UTR were cloned into pmirGLO plasmid, and the miR-107 sequence was cloned into pSilencer plasmid as previously described [<xref ref-type="bibr" rid="ref-23">23</xref>]. Primers used for the cloning can be found in <xref ref-type="table" rid="table-1">Suppl. Table 1</xref>. The interaction between miR-107 and its putative binding sites was tested by the Dual-Luciferase&#x00AE; Reporter Assay System (Promega, Madison, WI, United States) following the manufacturer&#x2019;s instruction. Briefly, HEK293T cells were seeded in a 96-well plate and transfected with 300 ng of the luciferase reporter constructs (pmirGLO plasmid) and 300 ng of the pSilencer-miR-107 plasmid using Lipofectamine&#x00AE; 3000 Transfection Reagent (Invitrogen, Carlsbad, CA, United States) according to the manufacturer&#x2019;s protocol. After 48 h, cells were lysed, incubated with firefly and Renilla luciferase substrates, and measured for enzyme activity using a luminometer. Firefly luciferase activity is normalized against Renilla luciferase to represent the miRNA binding efficiency.</p>

</sec>
<sec id="s2_9">
<title>Statistical analysis</title>
<p>Data are presented as the mean &#x00B1; standard deviation of the mean (SD) and statistically analyzed by the GraphPad Prism software version 9.5.1 (GraphPad) using unpaired Student&#x2019;s <italic>t</italic>-test or one-way ANOVA. Three or more replicates from at least two independent experiments were used for the determination of significant differences. A <italic>p</italic> value of&#x2009;&#x003C;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>Manipulation of H19 levels in HCC cells affect proliferation, the cell cycle, and apoptosis</title>
<p>To explore the role of H19 in cell growth, we determined the effect of knockdown of H19 on the proliferation of HCC cells. First, we confirmed the upregulation of H19 in HCC cells in comparison with a normal hepatocyte cell line, consistent with previous clinical data where H19 is found upregulated in HCC tissues (<xref ref-type="fig" rid="fig-8">Suppl. Fig. 2A</xref>) [<xref ref-type="bibr" rid="ref-10">10</xref>&#x2013;<xref ref-type="bibr" rid="ref-12">12</xref>]. Then, we established a doxycycline (Dox)-inducible H19 knockdown system in two independent HCC cell lines (HepG2 and JHH-4). Upon Dox treatment, levels of <italic>H19</italic> transcripts were significantly downregulated (<xref ref-type="fig" rid="fig-8">Suppl. Fig. 2B</xref>). To determine cell growth, we performed the MTT assay and found that H19 suppression impaired cell proliferation (<xref ref-type="fig" rid="fig-1">Fig. 1A</xref> and <xref ref-type="fig" rid="fig-9">Suppl. Fig. 3A</xref>). Consistent with the results of the MTT assay, we observed a significantly reduced number of BrdU-positive (BrdU<sup>&#x002B;</sup>) cells upon downregulation of H19 (<xref ref-type="fig" rid="fig-1">Fig. 1B</xref>). Cell cycle analysis revealed that H19 knockdown significantly decreased the distribution of cells in S and G2/M phases while increasing the number of cells arrested in the G1 phase (<xref ref-type="fig" rid="fig-1">Fig. 1C</xref>). Moreover, apoptosis detection by caspase-3/7 activation and Apopxin staining was significantly elevated in H19-knockdown cells (<xref ref-type="fig" rid="fig-1">Fig. 1D</xref> and <xref ref-type="fig" rid="fig-9">Suppl. Fig. 3B</xref>). Conversely, overexpression of H19 promoted cell growth, BrdU incorporation, and cell cycle progression while reducing apoptosis in HCC cells (<xref ref-type="fig" rid="fig-2">Figs. 2A</xref>&#x2013;<xref ref-type="fig" rid="fig-2">2E</xref> and <xref ref-type="fig" rid="fig-9">Suppl. Fig. 3C</xref>). Taken together, these results suggest the oncogenic role of H19 in HCC, and its upregulation may be crucial to drive the proliferation and the cell cycle of HCC cells.</p>
<fig id="fig-1">
<label>FIGURE 1</label>
<caption>
<title>H19 depletion impairs cell growth, the cell cycle, and BrdU incorporation while promoting apoptosis in HCC cells. (A) MTT assay of HCC cells (HepG2 and JHH-4) with shRNA-mediated knockdown of H19 (sh-H19) induced by the presence of doxycycline (Dox). (B) BrdU incorporation assay of HCC cells with or without Dox treatment. (C) Cell cycle analysis of HepG2 and JHH-4 cells with -Dox, sh-control (sh-Con), and sh-H19 treatment. (D) Detection of apoptosis by levels of caspase3/7 activity in HCC cells with or without Dox treatment. Data are presented as the mean &#x00B1; SD. N &#x003E; 3 replicates per group from at least two independent experiments. Student&#x2019;s <italic>t</italic>-test; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001 and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.0001. Fluorescence images taken at equivalent exposures for comparison. Scale bars, 100 &#x03BC;m. DAPI: 4&#x2032;,6-diamidino-2-phenylindole.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f001.tif"/>
</fig>
<fig id="fig-2">
<label>FIGURE 2</label>
<caption>
<title>Overexpression of H19 promotes cell growth, the cell cycle, and BrdU incorporation while suppressing apoptosis in HCC cells. (A) qRT-PCR analysis of <italic>H19</italic> transcripts from HCC cells transfected with a control or H19-overexpressing plasmid. (B) MTT assay of HCC cells (HepG2 and JHH-4) with a control or H19-overexpressing plasmid. (C) BrdU incorporation assay of HCC cells with or without H19 overexpression. (D) Cell cycle analysis of HCC cells with or without H19 overexpression. (E) Detection of apoptosis by levels of caspase3/7 activity in HCC cells with or without H19 overexpression. Data are presented as the mean &#x00B1; SD and expressed relative to those of the control (set as 1.0) for qRT-PCR experiments. N &#x003E; 3 replicates per group from at least two independent experiments. Student&#x2019;s <italic>t</italic>-test; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001 and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.0001. Fluorescence images taken at equivalent exposures for comparison. Scale bars, 100 &#x03BC;m. DAPI: 4&#x2032;,6-diamidino-2-phenylindole.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Downregulation of H19 inhibits the expression of CDK6</title>
<p>As BrdU incorporation and cell cycle progression were impaired in H19-knockdown cells (<xref ref-type="fig" rid="fig-1">Figs. 1B</xref> and <xref ref-type="fig" rid="fig-1">1C</xref>), we hypothesized that suppression of H19 could induce G1 phase arrest in the cell cycle. Thus, we surveyed the expression of key cell cycle genes that promote the S-phase entry by qRT-PCR analysis. We found that upon H19 depletion, levels of <italic>CDK6</italic> transcripts were significantly decreased in two independent HCC cell lines (<xref ref-type="fig" rid="fig-3">Fig. 3A</xref>). Downregulation of CDK6 in H19-knockdown cells was further confirmed at the protein level by Western blot (<xref ref-type="fig" rid="fig-3">Fig. 3B</xref>). CDK6 is a critical mediator in the cellular transition into the S phase, and its overexpression plays an important role in driving tumorigenesis in many cancer types [<xref ref-type="bibr" rid="ref-29">29</xref>,<xref ref-type="bibr" rid="ref-30">30</xref>]. CDK6 forms a protein complex with CDK4 and D-type cyclins to drive cell proliferation. A well-known substrate of this protein complex is the retinoblastoma protein (Rb), which inhibits cell cycle progression into the S phase until its inactivation by phosphorylation. Upon H19 knockdown expression, we observed a significant reduction in Rb phosphorylation at the Ser780, Ser795, and Ser807/811 residues, supporting the impaired function of CDK6 (<xref ref-type="fig" rid="fig-3">Fig. 3C</xref> and <xref ref-type="fig" rid="fig-10">Suppl. Fig. 4A</xref>). Rb phosphorylation weakens its association with the E2F transcription factor, allowing for activation of E2F-mediated transcription and the S-phase entry [<xref ref-type="bibr" rid="ref-31">31</xref>]. Accordingly, we observed downregulation of E2F target genes such as Cyclin A2 and PLK1 in H19-knockdown cells (<xref ref-type="fig" rid="fig-10">Suppl. Fig. 4B</xref>). Together, these data indicate that H19 depletion could impair the proliferation of HCC cells at least by suppressing the activity of CDK6.</p>
<fig id="fig-3">
<label>Figure 3</label>
<caption>
<title>H19 suppression downregulates the expression of CDK6 in HCC cells. (A) qRT-PCR analysis of key cell cycle genes in HCC cells upon shRNA-mediated depletion of H19 induced by the presence of doxycycline (Dox). (B) Western blot of CDK6 in HCC cells (HepG2 and JHH-4) with or without Dox treatment. GAPDH was used as a loading control. (C) Western blot of phosphorylated Rb (p-Rb) and total Rb (t-Rb) in HCC cells with or without Dox treatment. Data are presented as the mean &#x00B1; SD and expressed relative to those of-Dox (set as 1.0) for qRT-PCR experiments. N &#x003D; 3 replicates per group from at least two independent experiments. Student&#x2019;s <italic>t</italic>-test; &#x002A;<italic>p</italic> &#x003C; 0.05 and &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>MicroRNA-107 directly interacts with H19 and 3&#x2032; UTR of CDK6 transcripts</title>
<p>LncRNAs can exert their regulatory function by acting as sponges of microRNAs (miRNAs), which control gene expression post-transcriptionally by binding target mRNAs at the 3&#x2019; UTR, resulting in mRNA degradation and/or translational repression [<xref ref-type="bibr" rid="ref-32">32</xref>]. Thus, lncRNAs can inhibit the activity of miRNAs and allow upregulation of miRNA target genes. Given this mode of action, we hypothesized that H19 could sequester a miRNA that negatively regulates the expression of CDK6. To identify such miRNAs, we obtained two lists of miRNAs that were previously reported or predicted to interact with H19 from the lncBase and lncBook databases [<xref ref-type="bibr" rid="ref-25">25</xref>,<xref ref-type="bibr" rid="ref-26">26</xref>]. A total of 54 miRNAs were found to overlap from the two sources (<xref ref-type="table" rid="table-2">Suppl. Table 2</xref>). Then, we employed the DIANA-microT web server to rank the interaction of these miRNAs with the sequence of <italic>CDK6</italic> 3&#x2019;UTR and found that miR-107 achieved the highest miRNA target gene (miTG) score (<xref ref-type="fig" rid="fig-4">Fig. 4A</xref>) [<xref ref-type="bibr" rid="ref-27">27</xref>]. Using the RNA hybrid tool, we analyzed the sequence of H19 and revealed multiple binding sites of miR-107 with minimal free energy (MFE) &#x003C;&#x2212;20 kcal/mol (<xref ref-type="table" rid="table-3">Suppl. Table 3</xref>) [<xref ref-type="bibr" rid="ref-28">28</xref>]. This bioinformatic analysis indicated that H19 could serve as a molecular sponge for miR-107 and hence promote the expression of CDK6. Supporting this notion, we observed that levels of miR-107 were slightly increased, although not significantly, in HCC cells, and overexpression of H19 could be a way to counter the antiproliferative activity of miR-107 (<xref ref-type="fig" rid="fig-7">Suppl. Fig. 1A</xref> and <xref ref-type="fig" rid="fig-10">Fig. 4B</xref>).</p>
<fig id="fig-4">
<label>FIGURE 4</label>
<caption>
<title>MiR-107 directly interacts with H19 and the 3&#x2032; UTR of CDK6 mRNA. (A) Ranking of H19-associated miRNAs that are predicted to interact with the 3&#x2032; UTR of CDK6 mRNA based on miRNA target gene (miTG) scores. (B) qRT-PCR analysis of miR-107 in normal hepatocytes (THLE-2) and HCC cell lines. (C) Hybridization pattern of wild-type (WT) and mutant (MUT) H19 sequences with miR-107. (D) Dual luciferase reporter assay of wild-type (WT) and mutant (MUT) H19 sequences with miR-107. (E) Hybridization pattern of wild-type (WT) and mutant (MUT) CDK6 3&#x2032; UTR sequences with miR-107. (F) Dual luciferase reporter assay of wild-type (WT) and mutant (MUT) CDK6 3&#x2032; UTR sequences with miR-107. Data are presented as the mean &#x00B1; SD and expressed relative to those of THLE-2 (set as 1.0) for qRT-PCR experiments. N &#x003D; 3 replicates per group from at least two independent experiments. One-way ANOVA; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01 and &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f004.tif"/>
</fig>
<p>To test whether miR-107 was sponged by H19, we performed a dual luciferase reporter gene assay in HEK293 cells, a common model used for testing miRNA-target interactions [<xref ref-type="bibr" rid="ref-33">33</xref>,<xref ref-type="bibr" rid="ref-34">34</xref>]. Results showed that miR-107 significantly reduced the luciferase activity of the H19 wild-type (WT) reporter, while this inhibition was alleviated with the H19 mutant (MUT) sequence (<xref ref-type="fig" rid="fig-4">Figs. 4C</xref> and <xref ref-type="fig" rid="fig-4">4D</xref>). To test if CDK6 is a direct target of miR-107, we performed another set of dual luciferase reporter gene assay and demonstrated that miR-107 directly interacted with the 3&#x2032; UTR of <italic>CDK6</italic> mRNA (<xref ref-type="fig" rid="fig-4">Figs. 4E</xref> and <xref ref-type="fig" rid="fig-4">4F</xref>). Collectively, we illustrated that H19 could sequester miR-107 to promote CDK6 expression.</p>

</sec>
<sec id="s3_4">
<title>Inhibition of miR-107 partially rescues a proliferative defect induced by H19 depletion</title>
<p>To confirm that miR-107 is crucial in the regulation of the H19/miR-107/CDK6 axis, we introduced control antagomir (anta-miR-con) or miR-107 antagomir (anta-miR-107) into H19-knockdown HCC cells. We first showed that anta-miR-107 efficiently blocked the activity of miR-107 (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). Then, we tested the proliferation of HCC cells with antagomirs by the MTT assay, and the results suggest that inhibition of miR-107 partially attenuated the antiproliferative effect mediated by H19 depletion (<xref ref-type="fig" rid="fig-5">Fig. 5B</xref>). Consistently, expression of CDK6 was significantly upregulated at both mRNA and protein levels upon miR-107 inhibition in H19-knockdown cells (<xref ref-type="fig" rid="fig-5">Figs. 5C</xref> and <xref ref-type="fig" rid="fig-5">5D</xref>). To confirm the antiproliferative role of miR-107, we overexpressed miR-107 in HepG2 and JHH-4 cells and observed growth suppression (<xref ref-type="fig" rid="fig-5">Figs. 5E</xref> and <xref ref-type="fig" rid="fig-5">5F</xref>). Taken together, these results indicate that H19 could play an important role in sequestering miR-107 and promoting CDK6 expression, thus driving proliferation in HCC cells.</p>
<fig id="fig-5">
<label>Figure 5</label>
<caption>
<title>Inhibition of miR-107 alleviated growth suppression by H19 silencing in HCC cells. (A) qRT-PCR analysis of miR-107 in HCC cells treated with control antagomir (anta-miR-con) and miR-107 antagomir (anta-miR-107). (B) MTT assay of H19-depleted HCC cells (HepG2 and JHH-4) treated with anta-miR-con and anta-miR-107. (C) qRT-PCR analysis of CDK6 mRNA in H19-depleted HCC cells treated with anta-miR-con and anta-miR-107. (D) Western blot of CDK6 in H19-depleted HCC cells treated with anta-miR-con and anta-miR-107. (E) qRT-PCR analysis of miR-107 after its overexpression in HCC cells. (F) MTT assay of control and miR-107-overexpressing HCC cells. Data are presented as mean &#x00B1; SD and expressed relative to those of anta-miR-con, -Dox, or Control (set as 1.0) for qRT-PCR experiments. N &#x003D; 3 replicates per group from at least two independent experiments. Student&#x2019;s <italic>t</italic>-test or one-way ANOVA; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01 and &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>LncRNA H19 has been widely investigated as a biomarker and therapeutic target in various types of cancers including HCC. Nevertheless, mechanistic insights into the role of H19 in cell cycle regulation are still lacking. In this study, we showed that H19 suppression in HCC cells reduced their proliferation and impaired the G1-to-S transition in the cell cycle. Mechanistically, H19 could sponge miR-107 and inhibit its function to downregulate the expression of CDK6, which is a key mediator in driving cell cycle progression. Thus, H19 depletion allows miR-107 to suppress CDK6 expression and arrest cells in the G1 phase. Collectively, we proposed the H19/miR-107/CDK6 axis as a novel regulatory mechanism to promote proliferation in HCC cells (<xref ref-type="fig" rid="fig-6">Fig. 6</xref>).</p>
<fig id="fig-6">
<label>Figure 6</label>
<caption>
<title>H19 promotes the proliferation of HCC cells via the miR-107/CDK6 axis. In normal cells, miR-107 posttranscriptionally regulates levels of CDK6 and drives controlled cell division. In HCC cells, upregulation of H19 sequesters miR-107 and allows overexpression of CDK6, which leads to uncontrolled cell proliferation.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f006.tif"/>
</fig>
<p>Although the role of H19 in HCC have been controversial, most studies, including ours, suggest its oncogenic function in promoting the initiation and progression of HCC [<xref ref-type="bibr" rid="ref-16">16</xref>,<xref ref-type="bibr" rid="ref-17">17</xref>,<xref ref-type="bibr" rid="ref-35">35</xref>]. In addition, we identified an anti-cancer role of miR-107 in HCC as a regulator of CDK6 in the cell cycle. Supporting this observation, previous studies have shown that miR-107 directly targets CDK6 and induces the cell cycle G1 arrest in gastric, bladder, and non-small cell lung cancer cells [<xref ref-type="bibr" rid="ref-36">36</xref>&#x2013;<xref ref-type="bibr" rid="ref-38">38</xref>]. Furthermore, the tumor suppressing function of miR-107 has been previously reported in HCC via targeting oncogenic genes, including RGS4, HMGA2, HMGCS2, cofilin-1, and Wnt/&#x03B2;-catenin [<xref ref-type="bibr" rid="ref-39">39</xref>&#x2013;<xref ref-type="bibr" rid="ref-43">43</xref>]. MiR-107 can also be used as a circulating and tissue biomarker for early detection of HCC [<xref ref-type="bibr" rid="ref-44">44</xref>,<xref ref-type="bibr" rid="ref-45">45</xref>]. Conversely, a few studies show that miR-107 accelerates the tumor progression via amplification of EGFR and Wnt signaling [<xref ref-type="bibr" rid="ref-46">46</xref>,<xref ref-type="bibr" rid="ref-47">47</xref>]. The conflicting effects of miR-107 on tumor cell regulation have been reported in other cancers [<xref ref-type="bibr" rid="ref-48">48</xref>]. Therefore, further investigation of miR-107 is warranted to resolve its controversial function in HCC.</p>
<p>CDK6 is a long-known critical mediator that promotes the G1 to S transition in the cell cycle; hence, its overexpression is unsurprisingly reported in many types of cancer cells to drive cell division [<xref ref-type="bibr" rid="ref-29">29</xref>]. To interrupt this process, CDK inhibitors have been developed for cancer treatment with the success of FDA-approved CDK4/6 inhibitors to treat certain types of hormone receptor-positive, HER2-negative breast cancers [<xref ref-type="bibr" rid="ref-30">30</xref>]. However, resistance to CDK4/6 inhibitors is prevalent in other cancer cell types including HCC, thus limiting the utility of these drugs in clinics [<xref ref-type="bibr" rid="ref-49">49</xref>]. A recent study suggests that CDK6-deficient cancer cells that rely on the function of CDK4 in cell cycle progression are sensitive to these inhibitors; in contrast, upregulation of CDK6 in breast cancer cells promotes CDK4/6 inhibitor resistance [<xref ref-type="bibr" rid="ref-50">50</xref>&#x2013;<xref ref-type="bibr" rid="ref-52">52</xref>]. As our data showed that H19 depletion downregulated the expression of CDK6, silencing H19 could desensitize HCC cells to CDK4/6 inhibitors. Future experiments should be carried out to determine the combination of H19 silencing and CDK4/6 inhibitors as a novel synergistic regimen for HCC treatment.</p>
<p>In summary, we present a novel function of H19 in the regulation of miR-107 and CDK6 to promote the proliferation of HCC cells. H19 promotes CDK6 overexpression by acting as a sponge for miR-107, which directly targets CDK6 expression. A similar mechanistic mode has been proposed in bladder carcinoma where circular RNA TCF25 serves as a molecular sponge for miR-107 to upregulate CDK6 expression and promote proliferation [<xref ref-type="bibr" rid="ref-37">37</xref>]. Alternatively, H19 could drive cell growth in glioma cells by sequestering miR-200a, which negatively regulates CDK6 expression [<xref ref-type="bibr" rid="ref-53">53</xref>]. Together, the H19/miR-107/CDK6 axis could be exploited as a new target for both diagnosis and treatment of HCC and other cancers.</p>
</sec>
<sec sec-type="supplementary-material" id="s5">
<title>Supplementary Materials</title>
<table-wrap id="table-1">
<label>Supplemental Table 1</label>
<caption>
<title>Primer sequences used in this study</title></caption>
<alternatives>
<table>
<colgroup>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th></th>
<th>Cloning primers</th>
</tr>
</thead>
<tbody>
<tr>
<td>Sense_sh1_H19</td>
<td>ccggGACGTGACAAGCAGGACATGActcgagTCATGTCCTGCTTGTCACGTCttttt</td>
</tr>
<tr>
<td>Antisense_sh1_H19</td>
<td>aattaaaaaGACGTGACAAGCAGGACATGActcgagTCATGTCCTGCTTGTCACGTC</td>
</tr>
<tr>
<td>Sense_sh2_H19</td>
<td>ccggGCACTACCTGACTCAGGAATCctcgagGATTCCTGAGTCAGGTAGTGCttttt</td>
</tr>
<tr>
<td>Antisense_sh2_H19</td>
<td>aattaaaaaGCACTACCTGACTCAGGAATCctcgagGATTCCTGAGTCAGGTAGTGC</td>
</tr>
<tr>
<td>Sense_sh_control</td>
<td>ccggCCTAAGGTTAAGTCGCCCTCGctcgagCGAGGGCGACTTAACCTTAGGttttt</td>
</tr>
<tr>
<td>Antisense_sh_control</td>
<td>aattaaaaaCCTAAGGTTAAGTCGCCCTCGctcgagCGAGGGCGACTTAACCTTAGG</td>
</tr>
<tr>
<td>Sense_miR-107</td>
<td>ccggAGCAGCATTGTACAGGGCTATCActcgagTGATAGCCCTGTACAATGCTGCTttttt</td>
</tr>
<tr>
<td>Antisense_miR-107</td>
<td>aattaaaaaAGCAGCATTGTACAGGGCTATCActcgagTGATAGCCCTGTACAATGCTGCT</td>
</tr>
<tr>
<td>Sense_wt_H19</td>
<td>CGCGGCCGCtctagcttggaaatgaatatgctgcacC</td>
</tr>
<tr>
<td>Antisense_wt_H19</td>
<td>TCGAGgtgcagcatattcatttccaagctagaGCGGCCGCGAGCT</td>
</tr>
<tr>
<td>Sense_mut_H19</td>
<td>CGCGGCCGCtctagcttggaaatgaatTCCTCCTacC</td>
</tr>
<tr>
<td>Antisense_mut_H19</td>
<td>TCGAGgtAGGAGGAattcatttccaagctagaGCGGCCGCGAGCT</td>
</tr>
<tr>
<td>Sense_wt_CDK6_ 3&#x2032; UTR</td>
<td>CGCGGCCGCtttgatttttctaaccttgAATGCTGCcaC</td>
</tr>
<tr>
<td>Antisense_wt_CDK6 _3&#x2032; UTR</td>
<td>TCGAGtgGCAGCATTcaaggttagaaaaatcaaaGCGGCCGCGAGCT</td>
</tr>
<tr>
<td>Sense_mut_CDK6_ 3&#x2032; UTR</td>
<td>CGCGGCCGCtttgatttttctaaccttgCCACTCCTcaC</td>
</tr>
<tr>
<td>Antisense_mut_H19_ CDK6_3&#x2032; UTR</td>
<td>TCGAGtgAGGAGTGGcaaggttagaaaaatcaaaGCGGCCGCGAGCT</td>
</tr>
<tr>
<td>F_miR-107_cloning</td>
<td>gctGAATTCaagaaggcactggatgataatg</td>
</tr>
<tr>
<td>R_miR-107_cloning</td>
<td>cgaGGATCCgcctcaactcctctttcctg</td>
</tr>
</tbody>
</table>
<table>
<colgroup>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th colspan="2">qRT-PCR primers</th>
</tr>
</thead>
<tbody>
<tr>
<td>F_H19</td>
<td>CACTGGCCTCCAGAGCCCGT</td>
</tr>
<tr>
<td>R_H19</td>
<td>CGTCTTGGCCTTCGGCAGCTG</td>
</tr>
<tr>
<td>F_RPL19</td>
<td>GCTCTTTCCTTTCGCTGCT</td>
</tr>
<tr>
<td>R_RPL19</td>
<td>CATTGGTCTCATTGGGGTCT</td>
</tr>
<tr>
<td>F_U6</td>
<td>CTCGCTTCGGCAGCACA</td>
</tr>
<tr>
<td>F_miR-107</td>
<td>AGCATTGTACAGGGCTATGA</td>
</tr>
<tr>
<td>R_universal_miR</td>
<td>GCAGGGTCCGAGGTATTC</td>
</tr>
<tr>
<td>F_CDK2</td>
<td>GCATCTTTGCTGAGATGGTGACT</td>
</tr>
<tr>
<td>R_CDK2</td>
<td>TCATCCAGGGGAGGTACAACTT</td>
</tr>
<tr>
<td>F_CDK4</td>
<td>TGTATGGGGCCGTAGGAAC</td>
</tr>
<tr>
<td>R_CDK4</td>
<td>CTCAGATCAAGGGAGACCCTCAC</td>
</tr>
<tr>
<td>F_CDK6</td>
<td>GAGAGCCGACTGACACTC</td>
</tr>
<tr>
<td>R_CDK6</td>
<td>CAGAATCATTGCACCTGAGG</td>
</tr>
<tr>
<td>F_CCND1</td>
<td>GACCCCGCACGATTTCATTG</td>
</tr>
<tr>
<td>R_CCND1</td>
<td>AATGAACTTCACATCTGTGGCAC</td>
</tr>
<tr>
<td>F_CCNE1</td>
<td>CCTGTACTGAGCTGGGCAAATA</td>
</tr>
<tr>
<td>R_CCNE1</td>
<td>ACTTCACACACCTCCATTAACCA</td>
</tr>
<tr>
<td>F_PCNA</td>
<td>GGCGTGAACCTCACCAGTATGT</td>
</tr>
<tr>
<td>R_PCNA</td>
<td>CCGCGTTATCTTCGGCCCTT</td>
</tr>
<tr>
<td>F_RB</td>
<td>GGTATGTAACAGCGACCGTG</td>
</tr>
<tr>
<td>R_RB</td>
<td>TCCTGGGAGATGTTTACTTCCATC</td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
<table-wrap id="table-2">
<label>Supplemental Table 2</label>
<caption>
<title>List of potential miRNAs associated with H19 based on the LncBase and LncBook databases</title></caption>
<table><colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<tbody>
<tr>
<td>hsa-let-7i-3p</td>
<td>hsa-miR-132-5p</td>
<td>hsa-miR-17-5p</td>
<td>hsa-miR-191-3p</td>
<td>hsa-miR-20b-5p</td>
<td>hsa-miR-93-5p</td>
<td>hsa-miR-107</td>
<td>hsa-miR-103a-3p</td>
<td>hsa-miR-29b-3p</td>
<td>hsa-miR-29a-3p</td>
</tr>
<tr>
<td>hsa-miR-29c-3p</td>
<td>hsa-miR-141-3p</td>
<td>hsa-miR-200a-3p</td>
<td>hsa-miR-22-3p</td>
<td>hsa-miR-34a-5p</td>
<td>hsa-miR-193a-3p</td>
<td>hsa-miR-20a-5p</td>
<td>hsa-miR-106b-5p</td>
<td>hsa-miR-671-5p</td>
<td>hsa-miR-106a-5p</td>
</tr>
<tr>
<td>hsa-miR-627-5p</td>
<td>hsa-miR-194-5p</td>
<td>hsa-miR-141-5p</td>
<td>hsa-miR-93-3p</td>
<td>hsa-miR-342-3p</td>
<td>hsa-miR-138-5p</td>
<td>hsa-miR-152-3p</td>
<td>hsa-miR-148b-3p</td>
<td>hsa-miR-767-5p</td>
<td>hsa-miR-148a-3p</td>
</tr>
<tr>
<td>hsa-miR-196a-5p</td>
<td>hsa-miR-28-5p</td>
<td>hsa-miR-423-5p</td>
<td>hsa-miR-708-5p</td>
<td>hsa-miR-204-3p</td>
<td>hsa-miR-744-5p</td>
<td>hsa-miR-625-5p</td>
<td>hsa-miR-769-3p</td>
<td>hsa-miR-301b-3p</td>
<td>hsa-miR-301a-3p</td>
</tr>
<tr>
<td>hsa-miR-130b-3p</td>
<td>hsa-miR-130a-3p</td>
<td>hsa-miR-454-3p</td>
<td>hsa-miR-766-5p</td>
<td>hsa-miR-518c-5p</td>
<td>hsa-miR-769-5p</td>
<td>hsa-miR-129-2-3p</td>
<td>hsa-miR-19a-3p</td>
<td>hsa-miR-339-5p</td>
<td>hsa-miR-19b-3p</td>
</tr>
<tr>
<td>hsa-miR-18a-5p</td>
<td>hsa-miR-18b-5p</td>
<td>hsa-miR-675-5p</td>
<td>hsa-miR-24-1-5p</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>

</table-wrap>
<table-wrap id="table-3">
<label>Supplemental Table 3</label>
<caption>
<title>Hybridization pattern between H19 and miR-107 with minimal free energy (MFE) &#x003C;&#x2212;20 kcal/mol as predicted by the RNA hybrid tool</title></caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Rank</th>
<th>Hybridization pattern</th>
<th>MFE (kcal/mol)</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i001.tif"/></td>
<td>&#x2212;27.6</td>
</tr>
<tr>
<td>2</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i002.tif"/></td>
<td>&#x2212;25.8</td>
</tr>
<tr>
<td>3</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i003.tif"/></td>
<td>&#x2212;25.7</td>
</tr>
<tr>
<td>4</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i004.tif"/></td>
<td>&#x2212;25.1</td>
</tr>
<tr>
<td>5</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i005.tif"/></td>
<td>&#x2212;24.5</td>
</tr>
<tr>
<td>6</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i006.tif"/></td>
<td>&#x2212;24.2</td>
</tr>
<tr>
<td>7</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i007.tif"/></td>
<td>&#x2212;23.8</td>
</tr>
<tr>
<td>8</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i008.tif"/></td>
<td>&#x2212;23.7</td>
</tr>
<tr>
<td>9</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i009.tif"/></td>
<td>&#x2212;23.7</td>
</tr>
<tr>
<td>10</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i010.tif"/></td>
<td>&#x2212;23.3</td>
</tr>
<tr>
<td>11</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i011.tif"/></td>
<td>&#x2212;23.0</td>
</tr>
<tr>
<td>12</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i012.tif"/></td>
<td>&#x2212;22.5</td>
</tr>
<tr>
<td>13</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i013.tif"/></td>
<td>&#x2212;22.5</td>
</tr>
<tr>
<td>14</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i014.tif"/></td>
<td>&#x2212;22.4</td>
</tr>
<tr>
<td>15</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i015.tif"/></td>
<td>&#x2212;22.3</td>
</tr>
<tr>
<td>16</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i016.tif"/></td>
<td>&#x2212;22.3</td>
</tr>
<tr>
<td>17</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i017.tif"/></td>
<td>&#x2212;22.1</td>
</tr>
<tr>
<td>18</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i018.tif"/></td>
<td>&#x2212;21.9</td>
</tr>
<tr>
<td>19</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i019.tif"/></td>
<td>&#x2212;21.5</td>
</tr>
<tr>
<td>20</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i020.tif"/></td>
<td>&#x2212;21.4</td>
</tr>
<tr>
<td>21</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i021.tif"/></td>
<td>&#x2212;21.2</td>
</tr>
<tr>
<td>22</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i022.tif"/></td>
<td>&#x2212;20.9</td>
</tr>
<tr>
<td>23</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i023.tif"/></td>
<td>&#x2212;20.9</td>
</tr>
<tr>
<td>24</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i024.tif"/></td>
<td>&#x2212;20.8</td>
</tr>
<tr>
<td>25</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i025.tif"/></td>
<td>&#x2212;20.8</td>
</tr>
<tr>
<td>26</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i026.tif"/></td>
<td>&#x2212;20.4</td>
</tr>
<tr>
<td>27</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i027.tif"/></td>
<td>&#x2212;20.4</td>
</tr>
<tr>
<td>28</td>
<td><inline-graphic xlink:href="OncolRes-31-30395-i028.tif"/></td>
<td>&#x2212;20.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="fig-7">
<label>Supplemental Figure 1</label>
<caption>
<title>Uncropped immunoblots presented in this study.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f007.tif"/>
</fig>
<fig id="fig-8">
<label>Supplemental Figure 2</label>
<caption>
<title>H19 expression and doxycycline (Dox)-inducible system of H19 knockdown in HCC cell lines. (A) qRT-PCR analysis of <italic>H19</italic> transcripts in normal hepatocytes (THLE-2) and HCC cell lines. (B) qRT-PCR analysis of <italic>H19</italic> transcripts upon shRNA-mediated knockdown of H19 (sh-H19) induced by the presence of Dox. Data are presented as the mean &#x00B1; SD and expressed relative to those of THLE-2 or -Dox (set as 1.0) for qRT-PCR experiments. N &#x003E; 3 replicates per group from at least two independent experiments. Student&#x2019;s <italic>t</italic>-test or one-way ANOVA; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001 and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.0001.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f008.tif"/>
</fig>
<fig id="fig-9">
<label>Supplemental Figure 3</label>
<caption>
<title>Role of H19 in the proliferation and apoptosis of HCC cells. (A) MTT assay of HCC cells with -Dox, shRNA-control (sh-Con), and shRNA-H19 (sh-H19) treatment. (B) Apopxin staining of HCC cells with -Dox, sh-Con, and sh-H19 treatment. (C) Apopxin staining of control and H19-overexpressing HCC cells. Data are presented as the mean &#x00B1; SD. N &#x003E; 3 replicates per group. A total of &#x003E;10,000 nuclei were included for the quantification of Apopxin<sup>&#x002B;</sup> cells. Student&#x2019;s <italic>t</italic>-test or one-way ANOVA; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. Fluorescence images taken at equivalent exposures for comparison. Scale bars, 100 &#x03BC;m. DAPI: 4&#x2032;,6-diamidino-2-phenylindole.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f009.tif"/>
</fig>
<fig id="fig-10">
<label>Supplemental Figure 4</label>
<caption>
<title>Rb phosphorylation and expression of E2F target genes upon shRNA-mediated knockdown of H19 (sh-H19) induced by doxycycline (Dox). (A) Western blot of phosphorylated Rb at the Ser780 and Ser795 residues upon H19 knockdown. (B) Western blot analysis of Cyclin A2 and PLK1 upon H19 knockdown. Data are presented as the mean &#x00B1; SD. N &#x003D; 3 replicates per group. Student&#x2019;s <italic>t</italic>-test; &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="OncolRes-31-30395-f010.tif"/>
</fig>
</sec>
</body>
<back>
<ack>
<p>We would like to thank all members of the Center of Excellence in Hepatitis and Liver Cancer, Faculty of Medicine, Chulalongkorn University for their technical assistance in experiments.</p>
</ack>
<sec>
<title>Funding Statement</title>
<p>This work was financially supported by Thailand Science Research and Innovation Fund Chulalongkorn University (CU_FRB65_hea (46)_053_30_34), Ratchadapiseksompotch Fund, Faculty of Medicine, Chulalongkorn University (Grant No. RA 66/017), Thailand Research Fund (TRF) Senior Research Scholar (Grant No. RTA6280004), and the Center of Excellence in Hepatitis and Liver Cancer, Faculty of Medicine, Chulalongkorn University.</p>
</sec>
<sec>
<title>Author Contributions</title>
<p>C. Ariyachet conceived and designed the study with supervision from P. Tangkijvanich. C. Ariyachet, A. Nokkeaw, and P. Thamjamrassri performed experiments and analyzed data with technical support from N. Chantaravisoot. C. Ariyachet wrote the manuscript. All authors edited and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="data-availability">
<title>Availability of Data and Materials</title>
<p>Raw data of all quantitatively analyzed experiments are available from the corresponding authors on reasonable request.</p>
</sec>
<sec>
<title>Ethics Approval</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Conflicts of Interest</title>
<p>The authors declare that they have no conflicts of interest to report regarding the present study.</p>
</sec>
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