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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2021.696078</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Circular RNA Circ_0000098 Elevates ALX4 Expression <italic>via</italic> Adsorbing miR-1204 to Inhibit the Progression of Hepatocellular Carcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yue</surname>
<given-names>Wenjing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1305470"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Qiankun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1564718"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Wenyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1564725"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Xiaoling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gastroenterology, Yantai Affiliated Hospital of Binzhou Medical University</institution>, <addr-line>Yantai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Medical Office, Yantai Affiliated Hospital of Binzhou Medical University</institution>, <addr-line>Yantai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Chien-Feng Li, National Health Research Institutes, Taiwan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Hong-Yue Lai, Chi Mei Medical Center, Taiwan; Wanshan Li, Chi Mei Medical Center, Taiwan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Wenjing Yue, <email xlink:href="mailto:sdytywj@163.com">sdytywj@163.com</email> </p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Molecular and Cellular Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>696078</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>04</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Li, Yue, Li, Yu, Li and Cao</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Li, Yue, Li, Yu, Li and Cao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Circular RNAs (CircRNAs) feature prominently in the progression of various cancers. However, the biological functions of many circRNAs in hepatocellular carcinoma (HCC) are far from fully clarified. This work is performed to decipher the function of circ_0000098 (circSLC30A7) in modulating the progression of HCC and its molecular mechanism.</p>
</sec>
<sec>
<title>Methods</title>
<p>Microarray data (GSE97332) were available from the Gene Expression Omnibus (GEO) database, and circRNA differentially expressed in HCC tissues was screened out by GEO2R tool. Circ_0000098, microRNA-1204 (miR-1204), and aristaless-like homeobox-4 (ALX4) mRNA expressions were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Cell counting kit-8 (CCK-8), scratch wound healing, and Transwell assays were adopted to determine proliferation, migration, and invasion of HCC cells. ALX4 protein, E-cadherin, N-cadherin, and Vimentin expressions were evaluated by Western blot. In addition, the targeting relationship between miR-1204 and circ_0000098 or ALX4 was studied with dual-luciferase reporter assay and RIP assay.</p>
</sec>
<sec>
<title>Results</title>
<p>Circ_0000098 expression level was markedly declined in HCC tissues and cells, and its underexpression was associated with larger tumor size of HCC patients. Knocking down circ_0000098 observably promoted the multiplication, migration, invasion, and epithelial-mesenchymal transition (EMT) of Huh7 and SMMC-7721 cells. Additionally, circ_0000098 was mainly distributed in the cytoplasm of HCC cells, and up-regulated ALX4 expression through competitively decoying miR-1204.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Circ_0000098, as a competitive endogenous RNA (ceRNA) of miR-1204, upregulates ALX4 expression and suppresses the growth, migration, invasion, and EMT of HCC cells.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hepatocellular carcinoma</kwd>
<kwd>circ_0000098</kwd>
<kwd>miR-1204</kwd>
<kwd>ALX4</kwd>
<kwd>proliferation and metastasis</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="14"/>
<word-count count="5690"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Liver cancer is one of the main causes of cancer-related death, with 905,677 new cases and 830,180 deaths worldwide in 2020 (<xref ref-type="bibr" rid="B1">1</xref>). Hepatocellular carcinoma (HCC) is the main pathological type of primary liver cancer, accounting for over 80% of primary liver cancer cases (<xref ref-type="bibr" rid="B2">2</xref>). In recent years, despite great advance in HCC treatment strategies, including surgical resection, liver transplantation, radiofrequency ablation, chemotherapy and so on, the prognosis of HCC patients is still far from satisfactory (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Therefore, it is pivotal to delve into the pathogenesis of HCC and find more effective therapeutics, to improve the survival time of HCC patients.</p>
<p>Circular RNAs (circRNAs) are non-coding RNA transcripts, which are produced by reverse splicing of precursor mRNA (<xref ref-type="bibr" rid="B5">5</xref>). CircRNAs have covalently closed structure without 5&#x2019; or 3&#x2019; ends, which are more stable than linear RNA and resistant to RNase R (<xref ref-type="bibr" rid="B6">6</xref>). Reportedly, circRNAs are vital in regulating multiple biological processes, such as cell growth, differentiation, apoptosis, and migration (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). In addition, circRNAs, as reported, are abnormally expressed in various cancers and regulate cancer progression (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). CircRNAs exerts their biological functions <italic>via</italic> different mechanisms. For instance, it can regulate the expression of the downstream genes by sponging microRNAs (miRNAs) (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). For example, circ_0000092 up-regulates HN1 expression through competitively binding with miRNA-338-3p, thus promoting the progression of HCC (<xref ref-type="bibr" rid="B11">11</xref>). According to a previous report, miR-1204 expression level is increased in HCC, which can promote HCC cell viability and inhibit apoptosis by targeting ZNF418 to activate MAPK and c-Jun signaling (<xref ref-type="bibr" rid="B13">13</xref>). However, in HCC, whether miR-1204 is modulated by circRNA <italic>via</italic> competitive endogenous RNA (ceRNA) mechanism is still unclear.</p>
<p>In the present study, <italic>via</italic> bioinformatics analysis, circ_0000098 was screened out as a potential regulator in HCC. We report that circ_0000098 is markedly down-expressed in HCC tissues and cells, and it negatively regulates multiplication, migration, invasion, and epithelial-mesenchymal transition (EMT) of HCC cells. Besides, circ_0000098 regulates the expression of aristaless-like homeobox 4 (ALX4) by adsorbing miR-1204.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Bioinformatics Analysis</title>
<p>A dataset GSE97332 of circRNAs from 7 pairs of human HCC tumor tissue and normal hepar tissue was obtained from the Gene Expression Omnibus (GEO) database (<uri xlink:href="https://www.ncbi.nlm.nih.gov/geo/">https://www.ncbi.nlm.nih.gov/geo/</uri>). And the expression profile of circRNAs in normal hepar tissue and HCC tissue was analyzed by GEO2R. <italic>P</italic> &lt; 0.05 and &#x2502;log2 (Fold Change)&#x2502; &gt; 2 were used as the threshold for screening out the circRNAs with differential expressions. Volcano plots were used to show the upregulated and downregulated circRNAs in the dataset. Heat maps were used to show the 10 circRNAs that were significantly up-regulated and the 10 circRNAs that were significantly down-regulated in HCC tissues.</p>
</sec>
<sec id="s2_2">
<title>Clinical Specimens</title>
<p>34 pairs of HCC tissues and matched adjacent tissues were collected from HCC patients receiving surgery in the Hospital. Immediately after surgical resection, tissue samples were stored in liquid nitrogen until further analysis. None of the patients receive chemotherapy or radiotherapy before the operation. This research, with signed informed consent from the patients, was endorsed by the Ethics Committee of the Hospital. The experiments concerning human tissues were conducted in line with the Declaration of Helsinki.</p>
</sec>
<sec id="s2_3">
<title>Cell Culture</title>
<p>Human HCC cell lines (HepG2, SNU423, and SNU475) were obtained from American Type Culture Collection (ATCC, Rockville, MD, USA). A normal hepatocyte line (HL-7702) and human HCC cell lines (Huh-7 and SMMC-7721) were purchased from the Type Culture Collection of Chinese Academy of Sciences (Shanghai, China). All of the cells were cultured in Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM, Sigma, St. Louis, MO, USA) with 10% fetal bovine serum (FBS, Invitrogen, Carlsbad, CA, USA) at 37&#xb0;C and in 5% CO<sub>2</sub>.</p>
</sec>
<sec id="s2_4">
<title>Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR)</title>
<p>The total RNA was extracted from tissues and cells by a TRIzol kit (Invitrogen, Carlsbad, CA, USA) and then reversely transcribed into cDNA by a Primescript&#x2122; RT kit (TaKaRa, Dalian, China) and random primers or oligo (dt)<sub>18</sub> primers. A Mir-X&#x2122;miRNA First-Strand Synthesis kit (Clontech, Shanghai, China) was used for the reverse transcription of miRNA. Then, qRT-PCR was performed on ABI 7300 rapid real-time PCR system (Applied Biosystems, Foster City, CA, USA) with a SYBR<sup>&#xae;</sup>Premix Ex TaqTM II kit (Takara, Dalian, China) with U6 and GAPDH as the internal references. The relative expression was calculated by the 2<sup>-&#x394;&#x394;Ct</sup> method. Primer sequences are detailed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. In RNase R treatment assay, the total RNA (2 &#x3bc;g) was incubated at 37&#xb0;C for 20 min with or without 3 U/&#x3bc;g RNase R. Then circ_0000098 expression was detected by qRT-PCR, respectively, with GAPDH as the control. For determining the subcellular localization of circ_0000098, A PARIS&#x2122; kit (Thermofisher Scientific, Waltham, MA, USA) was used for subcellular fractionation. Then Circ_0000098 expression in cytoplasm and nucleus of the cells was examined by qRT-PCR, with GAPDH and U6 as the cytoplasmic control and nuclear control, respectively.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primers used for qRT-PCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Forward</th>
<th valign="top" align="center">Reverse</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">circ_0000098</td>
<td valign="top" align="left">5&#x2019;-GGTGTAATTGCTTCTGCCATC-3&#x2019;</td>
<td valign="top" align="left">5&#x2019;-TAACAGAAGCTGCCAGTCCA-3&#x2019;</td>
</tr>
<tr>
<td valign="top" align="left">ALX4</td>
<td valign="top" align="left">5&#x2019;-ACACATGGGCAGCCTGTTTG-3&#x2019;</td>
<td valign="top" align="left">5&#x2019;-TGCTTGAGGTCTTGCGGTCT-3&#x2019;</td>
</tr>
<tr>
<td valign="top" align="left">GAPDH</td>
<td valign="top" align="left">5&#x2019;-ACAACTTTGGTATCGTGGAAGG-3&#x2019;</td>
<td valign="top" align="left">5&#x2019;-GCCATCACGCCACAGTTTC-3&#x2019;</td>
</tr>
<tr>
<td valign="top" align="left">miR-1204</td>
<td valign="top" align="left">5&#x2019;-CGTGGCCTGGTCTCCATTAT-3&#x2019;</td>
<td valign="top" align="left">5&#x2019;-GGAACGATACAGAGAAGATTAGC-3&#x2019;</td>
</tr>
<tr>
<td valign="top" align="left">U6</td>
<td valign="top" align="left">5&#x2019;-CTCGCTTCGGCAGCACA-3&#x2019;</td>
<td valign="top" align="left">5&#x2019;-AACGCTTCACGAATTTGCGT-3&#x2019;</td>
</tr>
<tr>
<td valign="top" align="left">SLC30A7</td>
<td valign="top" align="left">5&#x2019;-TTGCCATAGCCATGAAGTGA-3&#x2019;</td>
<td valign="top" align="left">5&#x2019;-GTCTGCTGGGTCCTGTTGTT-3&#x2019;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_5">
<title>Actinomycin D Assay</title>
<p>Huh7 and SMMC-7721 cells were treated with 2 &#x3bc;g/mL actinomycin D (Amyjet, Wuhan, China) for 0, 4, 8, 12, and 24 h. After the cells were harvested, the expression levels of circ_0000098 and SLC30A7 mRNA were detected by qRT-PCR to verify the stability of circ_0000098.</p>
</sec>
<sec id="s2_6">
<title>Cell Transfection</title>
<p>Empty plasmid vector (Vector), circ_0000098 overexpression plasmid (circ_0000098-OE), siRNA negative control (si-NC), siRNAs targeting circ_0000098 (si-circ_0000098#1 and si-circ_0000098#2), miRNA mimics control (miR-NC), miR-1204 mimics, miR-1204 inhibitors (miR-1204-in), negative controls (miR-in), siRNAs targeting ALX4 (si-ALX4), and its negative control (si-NC) were available from GenePharma Co., Ltd. (Shanghai, China). The cells were transfected with Lipofectamine&#x2122; 3000 (Invitrogen, Carlsbad, CA, USA). After 48 h, the transfection efficiency was detected by qRT-PCR.</p>
</sec>
<sec id="s2_7">
<title>Cell Proliferation Assay</title>
<p>Cell proliferation was detected by a cell counting kit-8(CCK-8) kit (Beyotime, Jiangsu, China). To be specific, Huh7 and SMMC-7721 cells were transferred in a 96-well plate at a density of 2&#xd7;10<sup>3</sup> cells/well. At different time points (0, 1, 2, 3, 4, and 5 d), 100 &#xb5;L of serum-free medium and 10 &#xb5;L of CCK-8 solution were added to each well, followed by the incubation at 37&#xb0;C for 1 h. Next, a ELX-800 spectrometer microplate reader (Bio-Tek Instruments, Winooski, VT, USA) was used to measure the absorbance at the wavelength of 450 nm.</p>
</sec>
<sec id="s2_8">
<title>Wound Healing Assay</title>
<p>The cells were inoculated in a 6-well plate at a density of 1&#xd7;10<sup>5</sup> cells/well. When cells reached 80%~90% confluence, a sterile pipette was adopted to make a cell-free scratch. The the cells were cultured with serum-free medium. Wound healing was monitored at 0 and 24 h by an inverted optical microscope (Nikon, Tokyo, Japan).</p>
</sec>
<sec id="s2_9">
<title>Transwell Assay</title>
<p>Cell migration and invasion were evaluated with Transwell chamber (pore size 8.0&#x3bc;m; Millipore, Billerica, MA, USA). The transfected Huh7 and SMMC-7721 cells (4&#xd7;10<sup>5</sup> cells) were resuspended in 200 &#xb5;L of serum-free DMEM and then added into the upper chamber of Transwell chamber, and the bottom chamber was added with 500 &#x3bc;L of complete medium containing 10% FBS. After 24 h, the cells remaining on the upper membrane surface were removed. Moreover, the cells on the bottom surface were fixed in 4% paraformaldehyde and stained with 0.1% crystal violet (Beyotime, Jiangsu, China). Images were captured by an inverted optical microscope, and the number of cells in five random fields of view was counted. Matrigel (diluted 1: 9, Corning Incorporated, Corning, NY, USA) was used to cover the membrane in invasion assay, but it was not used during the process of migration assay.</p>
</sec>
<sec id="s2_10">
<title>Dual-Luciferase Reporter Assay</title>
<p>The wild type (WT) or mutant type (MUT) of circ_0000098 or ALX4 3&#x2019;-UTR sequence was amplified and cloned into the psiCHECK-2 vector (Promega, Madison, WI, USA) to construct luciferase reporter plasmid (circ_0000098-WT/MUT or ALX4 3&#x2019;-UTR-WT/MUT). The reporter plasmids, together with miR-1204 mimic or miR-NC, were co-transfected into Huh7 and SMMC-7721 cells by Lipofectamine&#x2122; 3000. After 48 h, the luciferase activity was detected by the dual-luciferase reporter analysis kit (Promega, Madison, WI, USA).</p>
</sec>
<sec id="s2_11">
<title>RNA Immunoprecipitation (RIP) Assay</title>
<p>RIP assay was conducted with a Magna RIP RNA binding protein immunoprecipitation kit (Millipore, Billerica, MA, USA). Huh7 and SMMC-7721 cells were lyzed by RIP lysis buffer, and 100 &#x3bc;L of whole-cell extract was incubated with RIPA buffer (Beyotime, Shanghai, China) containing magnetic beads coupled with human anti-Argonaute2 (Ago2) antibody (Millipore, Billerica, MA, USA) at 4&#xb0;C 8 h. Normal mouse IgG (Millipore, Billerica, MA, USA) was employed as a negative control. The samples were rinsed with washing buffer and then incubated with proteinase K at 55&#xb0;C for 30 min to separate RNA- protein complexes from magnetic beads. Ultimately, the immunoprecipitated RNA was extracted and analyzed by qRT-PCR.</p>
</sec>
<sec id="s2_12">
<title>Western Blot Assay</title>
<p>The total proteins were extracted by RIPA lysis buffer (Beyotime, Shanghai, China), with the protein concentration determined by a BCA protein assay kit (Thermo Fisher Scientific, Rockford, IL, USA). The equal amount of proteins (30 &#x3bc;g/lane) were separated by SDS-PAGE and then transferred to PVDF membrane (Millipore, Billerica, MA, USA). After being blocked with 5% skimmed milk at ambient temperature for 1 h, the membrane was incubated overnight at 4&#xb0;C with primary antibodies including anti-ALX4 (SC-33643, 1: 1000, Santa Cruz Biotechnology, Shanghai, China), anti-E-cadherin (ab76055, 1:1000, Abcam, Shanghai, China), anti-N-cadherin (ab280375, 1:1000, Abcam, Shanghai, China), anti-Vimentin (ab16700, 1:1000, Abcam, Shanghai, China), and anti-GAPDH (ab9484, 1: 1000, Abcam, Shanghai, China). After the membranes were washed by TBST, the membranes were incubated with horseradish peroxidase (HRP)-coupled secondary antibody (ab205719, 1: 2000, Abcam, Shanghai, China) for 0.5 h at room temperature. Ultimately, Clarity Max&#x2122;Western ECL substrate (Bio-Rad, Hercules, CA, USA) was adopted to develop the protein bands.</p>
</sec>
<sec id="s2_13">
<title>Lung Metastasis Model in Nude Mice</title>
<p>The <italic>in vivo</italic> study were approved by the Animal Care and Use Committee of Yantai Affiliated Hospital of Binzhou Medical University. BALB/c nude mice (6 weeks old, male) were used to establish the lung metastasis model. 1&#xd7;10<sup>6</sup> Huh7 cells with circ_0000098 depletion or the control cells were injected into the tail vein of each mouse (10 mice per group). After 3 weeks, the mice were killed, and lung tissues were harvested. Subsequently, the lung tissues were fixed, embedded in paraffin and sliced, and hematoxylin and eosin (H&amp;E) staining was performed to detect the metastatic nodules.</p>
</sec>
<sec id="s2_14">
<title>Statistical Analysis</title>
<p>All experiments were performed in triplicate. SPSS version 22.0 software (SPSS Inc., Chicago, IL, USA) was adopted for statistical analysis, with the data recorded as mean &#xb1; standard deviation (SD). Fisher&#x2019;s exact test was employed to analyze the relationship between circ_0000098 expression and clinicopathological features. Student&#x2019;s <italic>t</italic>-test was used to analyze the difference between two groups. One-way ANOVA was used to analyze the differences among the multiple groups. Pearson correlation analysis was employed to study the correlation among circRNA, miRNA, and mRNA expressions. <italic>P</italic>&lt;0.05 denoted that the difference was of statistical significance.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Circ_0000098 Was Lowly Expressed in HCC</title>
<p>GEO database (GSE97332) was adopted to identify differentially expressed circRNAs in HCC tissues compared with normal tissues adjacent to HCC. According to the criteria (log<sub>2</sub>|fold change |&gt;2, <italic>P</italic>&lt;0.05), there were 149 differentially expressed circRNAs in HCC tissues, of which 98 circRNAs were up-regulated and 51 circRNAs were down-regulated (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Circ_0000098 expression in HCC tissue was lower than that in normal tissues (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Circ_0000098 was derived from exons 3, 4, 5, 6, 7, and 8 of SLC30A7 gene (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) (<xref ref-type="bibr" rid="B14">14</xref>). qRT-PCR indicated that circ_0000098 expression was markedly lower in HCC tissues than that in adjacent tissues (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). Also, circ_0000098 expression in HCC cell lines, compared with that in HL-7702 cells, was significantly down-regulated (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>). To verify the circular structure of circ_0000098, we carried out RNase R treatment experiments in Huh7 and SMMC-7721 cells and found that circ_0000098 was resistant to RNase R while the expression of GAPDH mRNA was decreased significantly after RNase R treatment (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>). Furthermore, random primers or oligo (dT)<sub>18</sub> primers were used to perform reverse transcription with total RNAs extracted from Huh7 and SMMC-7721 cells. The results showed that when oligo (dT)<sub>18</sub> primers were used, the relative expression of circ_0000098 was significantly lower than when random primers were used, while the expression of linear SLC30A7 mRNA did not change significantly (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1G</bold>
</xref>). This indicated that circ_0000098 did not contain 3&#x2019; polyadenylated tail. In addition, actinomycin D assay demonstrated that circ_0000098 had a longer half-life time in Huh7 and SMMC-7721 cells compared with linear SLC30A7 mRNA (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>). This indicated that circ_0000098 was more stable than linear SLC30A7 mRNA. Besides, the Fisher&#x2019;s exact test showed that the low expression of circ_0000098 was associated with the larger tumor size of HCC patients (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The results suggested that circ_0000098 might be related to the progression of HCC.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The expression of circ_0000098 was significantly down-regulated in HCC tissues and cells. <bold>(A)</bold> Volcano plot was used to show the expression changes of circRNAs in HCC tissues and normal tissues adjacent to cancer. CircRNAs whose expressions were significantly increased were marked in red, and those whose expressions were significantly decreased were marked in blue. <bold>(B)</bold> Heatmap showed differentially expressed circRNAs in HCC tissues relative to adjacent normal tissues. Red and blue colors indicate high-expression and low-expression, respectively. <bold>(C)</bold> The schematic diagram of circ_0000098 formation from SLC30A7 exons. <bold>(D)</bold> The expression of circ_0000098 in HCC tissues and adjacent tissues was detected by qRT-PCR. <bold>(E)</bold> qRT-PCR was used to detect the expression of circ_0000098 in HCC cells and HL-7702 cells. <bold>(F)</bold> Circ_0000098 and GAPDH mRNA expressions were detected by qRT-PCR after RNase R treatment, so as to determine the circular characteristics of circ_0000098. <bold>(G)</bold> The expressions of circ_0000098 and linear SLC30A7 mRNA were detected by qRT-PCR after total RNA was reversely transcribed using random primers or oligo (dt)<sub>18</sub> primers. <bold>(H)</bold> The expressions of circ_0000098 and liner SLC30A7 mRNA were detected in Huh7 and SMMC-7721 cells by qRT-PCR after treatment with actinomycin <bold>(D)</bold> **<italic>P </italic>&lt; 0.01 and ***<italic>P </italic>&lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-696078-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlation between circ_0000098 expression and clinicopathological features in 34 HCC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">Number</th>
<th valign="top" colspan="2" align="center">circ_0000098 expression</th>
<th valign="top" rowspan="2" align="center">
<italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="5" align="left">Age(years)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;50</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&gt;50</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Gender</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.437</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">TMN stage</td>
</tr>
<tr>
<td valign="top" align="left">I/II</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="left">III/IV</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Tumor size (cm)</td>
</tr>
<tr>
<td valign="top" align="left">&lt;&#x2009;5</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">0.005*</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265; 5</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Vascular invasion</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.727</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">AFP (&#x3bc;g/L)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;400</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.720</td>
</tr>
<tr>
<td valign="top" align="left">&gt;400</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Aetiology</td>
</tr>
<tr>
<td valign="top" align="left">N.A.</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.839</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alcoholic liver disease</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Fatty liver disease</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P value was calculated by Fisher&#x2019;s exact test. *denotes p values less than 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Circ_0000098 Inhibited the Proliferation, Migration, Invasion, and EMT of HCC Cells</title>    <p>To pinpoint the biological function of circ_0000098 in HCC, we transfected Huh7 and SMMC-7721 cells with two siRNAs targeting circ_0000098 to construct cell models of circ_0000098 knockdown (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). CCK-8, wound healing, and Transwell assays showed that knocking down circ_0000098 significantly promoted the proliferation, migration, and invasion of Huh7 and SMMC-7721 cells (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f2">
<bold>E</bold>
</xref>). Western blot assay verified that knockdown of circ_0000098 decreased the expression level of E-cadherin and up-regulated the expression levels of N-cadherin and Vimentin (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>). On the other hand, we transiently transfected the circ_0000098 overexpression plasmid into Huh7 and SMMC-7721 cells. Overexpression of circ_0000098 significantly inhibited proliferation, migration, invasion, and EMT of Huh7 and SMMC-7721 cells (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures&#xa0;1A</bold>
</xref>&#x2013;<xref ref-type="supplementary-material" rid="SF1">
<bold>F</bold>
</xref>). These data implied that circ_0000098 modulated the malignant biological behaviors of HCC cells <italic>in vitro</italic>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Knocking down circ_0000098 promoted the proliferation, migration, and invasion of HCC cells. <bold>(A)</bold> qRT-PCR was used to detect the expression of circ_0000098 in Huh7 and SMMC-7721 cells after the transfection of si-circ_0000098#1 and #2. <bold>(B)</bold> CCK-8 assay was used to evaluate cell proliferation. <bold>(C)</bold> The migration ability of cells was detected by wound healing assay (Scale bar, 100 &#x3bc;m). <bold>(D, E)</bold> Transwell assay was used to detect cell migration and invasion (Scale bar, 250 &#x3bc;m). <bold>(F)</bold> Western blot assay was used to detect the expression levels of E-cadherin, N-cadherin, and Vimentin in Huh7 and SMMC-7721 cells with down-regulated circ_0000098 expression. **<italic>P</italic> &lt; 0.01 and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-696078-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Circ_0000098 Sponged miR-1204</title>
<p>CircRNAs feature prominently in the cancer progression by adsorbing miRNAs (<xref ref-type="bibr" rid="B15">15</xref>). To reveal the hidden mechanism of circ_0000098 in regulating the HCC progression, we first analyzed the subcellular distribution of circ_0000098 and observed that circ_0000098 was predominantly located in the cytoplasm of HCC cells (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). By searching the Circular RNA Interactome database (<uri xlink:href="https://circinteractome.irp.nia.nih.gov">https://circinteractome.irp.nia.nih.gov</uri>) (<xref ref-type="bibr" rid="B16">16</xref>), we found putative binding sites between circ_0000098 and miR-1204, miR-1248, miR-1276, miR-136, miR-140-3p, miR-155, miR-183, miR-203, miR-337-3p, miR-346, miR-369-5p, etc. We mainly focused on exploring the role of miR-1204 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Interestingly, high expression of miR-1204 expression was associated with the vascular invasion of the enrolled HCC patients (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Dual-luciferase reporter assay indicated that as against the control group, the up-regulation of miR-1204 expression markedly decreased the luciferase activity of circ_0000098-WT reporter, but no significant change was observed on the luciferase activity of circ_0000098-MUT reporter (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). In addition, RIP analysis showed that circ_0000098 and miR-1204 were markedly enriched in Ago2 group as against the IgG group (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). In comparison with the si-NC group, miR-1204 expression in Huh7 and SMMC-7721 cells with circ_0000098 knockdown was observably increased (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>). Additionally, miR-1204 expression in HCC tissues and cell lines, compared with that in adjacent tissues or HL-7702 cells, was markedly elevated (<xref ref-type="fig" rid="f3">
<bold>Figures 3F, G</bold>
</xref>). In addition, miR-1204 expression was negatively correlated with circ_0000098 expression in HCC tissues (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3H</bold>
</xref>). Overall, these data indicated that circ_0000098 could directly bind to miR-1204 and restrain its expression.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>MiR-1204 was the target of circ_0000098. <bold>(A)</bold> qRT-PCR was used to detect the expressions of circ_0000098, U6, and GAPDH mRNA in the nucleus and cytoplasm of HCC cells. <bold>(B)</bold> The binding sequence between miR-1204 and circ_0000098 was predicted by Circular RNA Interactome database. <bold>(C)</bold> Dual-luciferase reporter assay was used to verify the binding relationship between miR-1204 and circ_0000098. <bold>(D)</bold> The direct interaction between circ_0000098 and miR-1204 was determined by RIP assay. <bold>(E)</bold> qRT-PCR was used to detect the expression of miR-1204 in cells transfected with si-circ_0000098#1 and #2. <bold>(F, G)</bold> The expression of miR-1204 in HCC tissues and cells was detected by qRT-PCR. <bold>(H)</bold> Pearson&#x2019;s correlation analysis was used to analyze the correlation between miR-1204 and circ_0000098 expressions in 34 HCC tissues. **<italic>P</italic> &lt; 0.01 and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-696078-g003.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Correlation between miR-1204 expression and clinicopathological features in 34 HCC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">Number</th>
<th valign="top" colspan="2" align="center">miR-1204 expression</th>
<th valign="top" rowspan="2" align="center">
<italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="5" align="left">Age(years)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;50</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&gt;50</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Gender</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.437</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">TMN stage</td>
</tr>
<tr>
<td valign="top" align="left">I/II</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.707</td>
</tr>
<tr>
<td valign="top" align="left">III/IV</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Tumor size (cm)</td>
</tr>
<tr>
<td valign="top" align="left">&lt;5</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;5</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Vascular invasion</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.015*</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">AFP (&#x3bc;g/L)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;400</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.720</td>
</tr>
<tr>
<td valign="top" align="left">&gt;400</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Aetiology</td>
</tr>
<tr>
<td valign="top" align="left">N.A.</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.292</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alcoholic liver disease</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Fatty liver disease</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P value was calculated by Fisher&#x2019;s exact test. *denotes p values less than 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Circ_0000098 Could Inhibit HCC by Targeting miR-1204</title>    <p>To study whether circ_0000098 partakes in regulating the progression of HCC through sponging miR-1204, we transfected si-NC+miR-in, si-NC+miR-1204-in, si-circ_0000098#1+miR-in, or si-circ_0000098#1+miR-1204-in into Huh7 and SMMC-7721 cells, respectively. qRT-PCR showed that miR-1204 expression was markedly declined in si-NC+miR-1204-in group as against si-NC+miR-in group, while miR-1204 expression level in si-circ_0000098#1+miR-in group was higher; miR-1204 expression in si-circ_0000098#1+miR-1204-in group, compared with that in si-circ_0000098#1+miR-in group, was decreased observably (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). CCK-8, wound healing, Transwell, and Western blot assays found that in comparison with si-NC+miR-in group, the transfection of miR-1204 inhibitors markedly impeded the proliferation, migration, invasion, and EMT of Huh7 and SMMC-7721 cells; as against si-circ_0000098#1+miR-in group, the transfection of miR-1204 inhibitors weakened the promotion of circ_0000098 knockdown on proliferation, migration, invasion, and EMT of HCC cells (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f4">
<bold>F</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Circ_0000098 regulated the progression of HCC by adsorbing miR-1204. HCC cells were transfected with si-NC+miR-in, si-NC+miR-1204-in, si-circ_0000098#1+miR-in, or si-circ_0000098#1+miR-1204-in. <bold>(A)</bold> The expression of miR-1204 in Huh7 and SMMC-7721 cells was detected by qRT-PCR. <bold>(B)</bold> The cell proliferation was detected by CCK-8 assay. <bold>(C)</bold> The migration ability of cells was detected by wound healing assay. <bold>(D, E)</bold> Transwell assay was used to detect cell migration and invasion. <bold>(F)</bold> Western blot assay was used to detect the expression levels of E-cadherin, N-cadherin, and Vimentin in Huh7 and SMMC-7721 cells. *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-696078-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Circ_0000098 Participated in the Progression of HCC <italic>via</italic> Modulating the miR-1204/ALX4 Axis</title>    <p>To elaborate on the potential mechanism of circ_0000098/miR-1204 axis in HCC, we predicted the potential target gene of miR-1204 by the TargetScan tool (<uri xlink:href="http://www.targetscan.org/">http://www.targetscan.org/</uri>) (<xref ref-type="bibr" rid="B17">17</xref>) and discovered that there were complementary binding sites between miR-1204 and ALX4 3&#x2019;-UTR (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Notably, low expression of ALX4 expression was associated with the vascular invasion of the enrolled HCC patients (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Dual-luciferase reporter assay confirmed that miR-1204 overexpression markedly inhibited the luciferase activity of ALX4-WT reporter in Huh7 and SMMC-7721 cells, but the luciferase activity of ALX4-MUT reporter was not significantly changed (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Next, we studied the effects of the circ_0000098/miR-1204 axis on ALX4 expression and found that knocking down circ_0000098 inhibited ALX4 mRNA and protein expressions compared with the control while the transfection of miR-1204 inhibitors partially reversed these effects (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5C, D</bold>
</xref>). In addition, ALX4 mRNA and protein expressions were observably declined in HCC tissues and cells compared with that in adjacent tissues or HL-7702 cells (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5E</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f5">
<bold>H</bold>
</xref>). Pearson&#x2019;s analysis showed that ALX4 mRNA expression was negatively correlated with miR-1204 expression and positively with circ_0000098 expression in HCC tissues (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5I, J</bold>
</xref>). Next, we transfected miR-in, miR-1204-in, miR-1204-in+si-NC, and miR-1204-in+si-ALX4 into Huh7 and SMMC-7721 cells, and the successful transfection was confirmed by Western blot (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2A</bold>
</xref>). We demonstrated that, the inhibitory effects of inhibiting miR-1204 on the proliferation, migration, invasion, and EMT of Huh7 and SMMC-7721 cells were reversed by ALX4 knockdown (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figures&#xa0;2B</bold>
</xref>&#x2013;<xref ref-type="supplementary-material" rid="SF2">
<bold>F</bold>
</xref>), and these data implied that miR-1204 promoted the malignant biological behaviors of HCC cells <italic>via</italic> repressing ALX4. Collectively, these results substantiated that ALX4 was a downstream target of miR-1204 in HCC cells, and its expression was negatively modulated by miR-1204 and positively by circ_0000098.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Circ_0000098 promoted the expression of ALX4 by sponging miR-1204. <bold>(A)</bold> The binding sequence between miR-1204 and ALX4 was predicted by TargetScan tool (<uri xlink:href="http://www.targetscan.org/">http://www.targetscan.org/</uri>). <bold>(B)</bold> The binding relationship between miR-1204 and ALX4 was detected by dual-luciferase reporter assay. <bold>(C, D)</bold> qRT-PCR and Western blot were used to detect the effects of circ_0000098 and miR-1204 on ALX4 expression in Huh7 and SMMC-7721 cells. <bold>(E-H)</bold> qRT-PCR and Western blot were used to detect the expressions of ALX4 mRNA and protein in HCC tissues and cells. <bold>(I, J)</bold> Pearson&#x2019;s correlation analysis was used to analyze the correlation between ALX4 mRNA and miR-1204 or circ_0000098 expressions in 34 HCC tissues. **<italic>P</italic> &lt; 0.01 and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-696078-g005.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Correlation between ALX4 expression and clinicopathological features in 34 HCC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">Number</th>
<th valign="top" colspan="2" align="center">ALX4 expression</th>
<th valign="top" rowspan="2" align="center">
<italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="5" align="left">Age(years)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;50</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&gt;50</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Gender</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">0.437</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">TMN stage</td>
</tr>
<tr>
<td valign="top" align="left">I/II</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.707</td>
</tr>
<tr>
<td valign="top" align="left">III/IV</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Tumor size (cm)</td>
</tr>
<tr>
<td valign="top" align="left">&lt;5</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.480</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;5</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Vascular invasion</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.015*</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">AFP (&#x3bc;g/L)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;400</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">&gt;400</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Aetiology</td>
</tr>
<tr>
<td valign="top" align="left">N.A.</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.498</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alcoholic liver disease</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Fatty liver disease</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P value was calculated by Fisher&#x2019;s exact test. *denotes p values less than 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>Knockdown of Circ_0000098 Promoted the Lung Metastasis of HCC Cells <italic>In Vivo</italic>
</title>
<p>To further consolidate that circ_0000098 suppressed HCC progression, Huh7 cells with circ_0000098 knockdown and the control cells were respectively injected into the tail vein of the nude mice to establish a lung metastasis model. H&amp;E staining of the lung tissues of the mice showed that, the lung metastasis of circ_0000098 knockdown group was much severer than that in the control group (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>). In addition, we found that compared with the control group, miR-1204 was highly expressed and ALX4 mRNA was lowly expressed in the lung tissues of mice in the circ_0000098 knockdown group (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6C, D</bold>
</xref>). In summary, these data indicate that circ_0000098 may inhibit the progression of HCC by suppressing metastasis.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Circ_0000098 knockdown promotes the lung metastasis of Huh7 cells <italic>in vivo</italic>. <bold>(A)</bold> H&amp;E staining was used to detect the metastatic nodule of the mice, which were injected with Hu7 cells with circ_0000098 knockdown or the control cells, and the representative images were shown. <bold>(B)</bold> The statistical analysis of the lung metastasis of the nude mice in the control group and circ_0000098 knockdown group. <bold>(C, D)</bold> qRT-PCR was used to detect the expression of miR-1204 and ALX4 mRNA in the lung tissues of the circ_0000098 knockdown group and the control group. **<italic>P</italic> &lt; 0.01 and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-696078-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Unlike other non-coding RNA, such as miRNA and long non-coding RNA, circRNA is highly stable (<xref ref-type="bibr" rid="B18">18</xref>). CircRNAs play a key role in the pathogenesis of human diseases, including cancer (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). It is reported that the abnormal expression of circRNA is associated with the turmorigenesis and progression of HCC. For instance, circ-IGF1R expression level is raised in HCC, which can promote proliferation and reduce the apoptosis in HCC by activating PI3K/AKT pathway (<xref ref-type="bibr" rid="B21">21</xref>); circ_0003418, a tumor-suppressive circRNA in HCC, can enhance the sensitivity of HCC cells to cisplatin by inhibiting Wnt/&#x3b2;-catenin pathway (<xref ref-type="bibr" rid="B22">22</xref>); circ-ADD3 promotes EZH2 degradation through CDK1-mediated ubiquitination, thus inhibiting the metastasis of HCC cells (<xref ref-type="bibr" rid="B23">23</xref>). Here, we proved that circ_0000098 was observably lowly expressed in HCC tissues and cells, which was related to the tumor size of HCC. Functionally, we confirmed that knocking down circ_0000098 promoted the viability, migration, invasion, and EMT of HCC cells, while overexpression of circ_0000098 worked oppositely. These findings revealed the important role of circ_0000098 in HCC for the first time.</p>
<p>MiRNA, non-coding RNA with 19-25 <italic>nt</italic>, can negatively modulate gene expression <italic>via</italic> binding to the 3&#x2019;UTR of target mRNAs (<xref ref-type="bibr" rid="B24">24</xref>). As a vital factor in regulating cell proliferation, differentiation, and apoptosis, miRNA, as reported, modulates the progression of various tumors, including HCC (<xref ref-type="bibr" rid="B13">13</xref>). For example, miR-330-5p accelerates the progression of HCC by targeting SPRY2 to activate MAPK/ERK signaling (<xref ref-type="bibr" rid="B25">25</xref>); miR-185-5p targets ROCK2 and restrains migration and invasion of HCC cells (<xref ref-type="bibr" rid="B26">26</xref>). In addition, circRNA can exert its effect <italic>via</italic> many mechanisms, among which the ceRNA mechanism is the most widely investigated (<xref ref-type="bibr" rid="B27">27</xref>). For example, circSETD3 inhibits the growth of HCC cells by adsorbing miR-421 (<xref ref-type="bibr" rid="B28">28</xref>); circ-FOXP1 accelerates the progression of HCC through adsorbing miR-875-3p and miR-421 (<xref ref-type="bibr" rid="B29">29</xref>). In this study, we found that circ_0000098 could interact with miR-1204 in HCC cells. In addition, miR-1204 expression level was raised in HCC tissues and cell lines, which was consistent with the previous report (<xref ref-type="bibr" rid="B13">13</xref>). We also demonstrated that transfection of miR-1204 inhibitors could remarkably inhibit the effects of circ_0000098 knockdown on the malignant biological behaviors of HCC cells, highlighting that circ_0000098 could regulate HCC progression through sponging miR-1204.</p>
<p>ALX4 is a member of the PRD subfamily of the homeobox gene (<xref ref-type="bibr" rid="B30">30</xref>). ALX4 is widely expressed in various tissues and organs, and features prominently in embryonic development and epidermal growth (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Previous studies authenticate that the hypermethylation of ALX4 gene is found in colorectal cancer and bladder cancer tissues, which can be used as a candidate biomarker (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>); ALX4 expression is decreased in breast cancer tissues and cells, and it inhibits the progression of breast cancer by interfering with Wnt/&#x3b2;-catenin pathway (<xref ref-type="bibr" rid="B35">35</xref>); in ovarian cancer, ALX4 promotes invasion and EMT of ovarian cancer cells by raising SLUG expression (<xref ref-type="bibr" rid="B36">36</xref>); ALX4 expression is declined in HCC tissues, and ALX4 overexpression impedes the multiplication, invasion, and EMT process of HCC cells (<xref ref-type="bibr" rid="B37">37</xref>). Here, we also found that ALX4 expression was down-regulated in HCC tissues and cells. Besides, ALX4 was identified as the direct target of miR-1204 in HCC cells. Additionally, our data supported that circ_0000098 positively regulated ALX4 expression by competitively binding with miR-1204. In addition, we found that ALX4 knockdown reversed the inhibitory effects of miR-1204 down-regulation on HCC cell proliferation, migration, invasion, and EMT. Therefore, it was concluded that circ_0000098/miR-1204/ALX4 regulatory network was involved in the progression of HCC.</p>
<p>There are some limitations of the present work. Firstly, even though it was revealed that circ_0000098 was down-regulated in HCC tissues, the mechanism of its dysregulation is still unclear. Additionally, the sample number of the present work is relatively small, and in the following work, a larger cohort with the patients from different medical centers will help evaluate the significance of circ_0000098, miR-1204 and ALX4 as biomarkers. Notably, a recent study reports that up-regulated serum miR-1204 level implies worse prognosis of breast cancer patients (<xref ref-type="bibr" rid="B38">38</xref>). Whether the serum miR-1204 level is associated with the prognosis of HCC patients remains to be explored in the future.</p>
<p>To recapitulate briefly, circ_0000098 is lowly expressed in HCC tissues and cells, and its low expression level is associated with larger tumor size and advanced TNM stage of HCC. Besides, circ_0000098 can restrain the multiplication, migration, invasion, and EMT of HCC cells <italic>via</italic> targeting miR-1204 to up-regulate ALX4 expression. Our study provides novel explanation to the molecular mechanism of HCC progression.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>Our study was approved by the Ethics Review Board of Yantai Affiliated Hospital of Binzhou Medical University. The procedures of clinical specimen collection were in compliance with the Declaration of Helsinki. The patients/participants provided their written informed consent to participate in this study. The <italic>in vivo</italic> study was approved by the Animal Care and Use Committee of Yantai Affiliated Hospital of Binzhou Medical University.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>WJY and ML designed the study and experiments. ML, QL, and WYY collected clinical samples and performed the experiments. XLC conducted the data analysis. ML, WJY, and QL drafted the manuscript. ML and WJY reviewed and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The study was funded by Yantai Science and Technology Project (2016WS062). Shandong Province Medicine and Health Science and Technology Plan Development Project (NO: 202003031068).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2021.696078/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2021.696078/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Overexpression of circ_0000098 inhibited proliferation, migration, invasion, and EMT of HCC cells. <bold>(A)</bold> qRT-PCR was used to detect the expression of circ_0000098 in Huh7 and SMMC-7721 cells after the transfection of circ_0000098 overexpression plasmid. <bold>(B)</bold> CCK-8 assay was used to detect cell proliferation after overexpression of circ_0000098. <bold>(C)</bold> Wound healing assay was used to detect the migration ability of cells after overexpression of circ_0000098 (Scale bar, 100 &#x3bc;m). <bold>(D, E)</bold> Transwell assay was used to detect cell migration and invasion after overexpression of circ_0000098 (Scale bar, 250 &#x3bc;m). <bold>(F)</bold> Western blot assay was used to detect the expression levels of E-cadherin, N-cadherin, and Vimentin in Huh7 and SMMC-7721 cells overexpressing circ_0000098. **<italic>P</italic> &lt; 0.01 and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>MiR-1204 regulated HCC cells proliferation, migration, invasion, and EMT <italic>via</italic> ALX4. HCC cells were transfected with miR-in, miR-1204-in, miR-1204-in+si-NC, and miR-1204-in+si-ALX4. <bold>(A)</bold> Western blot assay was used to detect the protein level of ALX4 in Huh7 and SMMC-7721 cells transfected with miR-1204 inhibitor or co-transfected with si-ALX4. <bold>(B)</bold> CCK-8 assay was used to detect the proliferation of Huh7 and SMMC-7721 cells after the transfection with miR-1204 inhibitor or co-transfection with si-ALX4. <bold>(C&#x2013;E)</bold> Wound healing assay (Scale bar, 100 &#x3bc;m) and Transwell assay (Scale bar, 250 &#x3bc;m) were used to detect the migration and invasion of Huh7 and SMMC-7721 cells after the transfection with miR-1204 inhibitor or co-transfection with si-ALX4. <bold>(F)</bold> Western blot assay was used to detect the expression levels of E-cadherin, N-cadherin, and Vimentin in Huh7 and SMMC-7721 cells transfected with miR-1204 inhibitor or co-transfected with si-ALX4. *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, and ***<italic>P</italic> &lt; 0.001.</p>
</caption>
</supplementary-material>
  <supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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