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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.2021.642030</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>MiR-21-3p Promotes Hepatocellular Carcinoma Progression <italic>via</italic> SMAD7/YAP1 Regulation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Yinghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1088916"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ye</surname>
<given-names>Mingliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1212233"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Fan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fang</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Jialiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/915973"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Lan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1188303"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Qiu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/671692"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chang</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1170189"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gastroenterology, Zhongnan Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Clinical Center and Key Laboratory of Intestinal and Colorectal Diseases, Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Xing-Xing He, Huazhong University of Science and Technology, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Chao Li, Virginia Commonwealth University Health System, United States; Hongpeng Jia, Johns Hopkins Medicine, United States; Qing Ding, University of Pittsburgh, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ying Chang, <email xlink:href="mailto:changying@whu.edu.cn">changying@whu.edu.cn</email> </p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Gastrointestinal Cancers, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>03</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>642030</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>01</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Hong, Ye, Wang, Fang, Wang, Luo, Liu, Liu, Liu, Zhao and Chang</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Hong, Ye, Wang, Fang, Wang, Luo, Liu, Liu, Liu, Zhao and Chang</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>Hepatocellular carcinoma (HCC) remains a major global health burden due to its high prevalence and mortality. Emerging evidence reveals that microRNA (miRNA) plays a vital role in cancer pathogenesis and is widely involved in the regulation of signaling pathways <italic>via</italic> their targeting of downstream genes. MiR-21-3p, a liver-enriched miRNA, and SMAD7, the negative regulator of the TGF-<italic>&#x3b2;</italic> signaling pathway, likely exert a vital influence on HCC progression.</p>
</sec>
<sec>
<title>Aims</title>
<p>Here, we explore the role of the miR-21-3p-SMAD7/YAP1 axis on HCC pathogenesis.</p>
</sec>
<sec>
<title>Methods</title>
<p>MiRNA microarray analysis was performed for miRNA screening. The dual-luciferase assay was adopted for target verification. Expression of miRNA and related genes were quantified <italic>via</italic> qRT-PCR, western blotting, and immunohistochemical staining. Flow cytometry and the transwell migration assay were used to detail cell apoptosis, invasion and metastases. Rat models were established to explore the role of the miR-21-3p-SMAD7/YAP1 axis in hepatocarcinogenesis. Bioinformatics analysis was conducted for exploring genes of clinical significance.</p>
</sec>
<sec>
<title>Results</title>
<p>MiR-21-3p levels were found to be significantly elevated in hepatocellular carcinoma and indicate poor overall survival. High miR-21-3p levels were associated with advanced tumor stages (<italic>P</italic> = 0.029), in particular T staging (<italic>P</italic> = 0.026). Low SMAD7/high YAP1 levels were confirmed in both HCC and rat models with advanced liver fibrosis and cirrhosis. Besides, SMAD7 was demonstrated to be the direct target of miR-21-3p. The effect of MiR-21-3p on tumor phenotypes and YAP1 upregulation could be partly reversed <italic>via</italic> the restoration of SMAD7 expression in HCC cell lines. Overexpression of YAP1 after miR-21-3p upregulation promoted expression of nuclear transcription effector connective tissue growth factor. Co-survival analysis indicated that lower miR-21-3p/higher SMAD7 (<italic>P</italic> = 0.0494) and lower miR-21-3p/lower YAP1 (<italic>P</italic> = 0.0379) group patients had better overall survival rates. Gene Set Variation Analysis revealed that gene sets related to miR-21-3p and SMAD7 were significantly associated with the TGF-&#x3b2; signaling pathway in HCC.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>MiR-21-3p promotes migration and invasion of HCC cells and upregulation of YAP1 expression <italic>via</italic> direct inhibition of SMAD7, underscoring a major epigenetic mechanism in the pathogenesis of HCC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>MiR-21-3p</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>SMAD7</kwd>
<kwd>YAP1</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<contract-num rid="cn001">81670554</contract-num>
<contract-num rid="cn002">2020020601012208</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Science and Technology Program of Hubei Province<named-content content-type="fundref-id">10.13039/501100019035</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="14"/>
<word-count count="6302"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC), with its rising global incidence, is a leading cause of cancer-related deaths and still lacks effective treatments (<xref ref-type="bibr" rid="B1">1</xref>). More than half of HCC patients are already in advanced stages of liver cancer on initial diagnosis (<xref ref-type="bibr" rid="B2">2</xref>). For patients suffering unresectable HCC, the multi-kinase inhibitors sorafenib and lenvatinib are considered to be effective drugs of treatment that target the multisystemic diseases (<xref ref-type="bibr" rid="B3">3</xref>). However, their rates of patient survival prolongation remain far from satisfactory (<xref ref-type="bibr" rid="B4">4</xref>). Metastasis is a crucial feature that distinguishes benign from malignant tumors, and migration and invasion of cancer cells remain the major mechanisms of drug resistance and tumor recurrence (<xref ref-type="bibr" rid="B5">5</xref>). It is thus of great importance to further investigate the mechanisms of HCC pathogenesis.</p>
<p>MicroRNAs (miRNAs), small endogenous non-coding ribonucleic acid molecules, are mainly involved in RNA silencing and regulation of gene expression <italic>via</italic> complementary targeting of the 3&#x2032;-UTR region of mRNA (<xref ref-type="bibr" rid="B6">6</xref>). MiRNAs have been known to serve as both diagnostic and prognostic biomarkers for cancer since their discovery (<xref ref-type="bibr" rid="B7">7</xref>). Mutant p53 has previously been reported to facilitate the expression of miR-21-3p and further promote pulmonary metastasis (<xref ref-type="bibr" rid="B8">8</xref>). In addition, miR-21-3p has been found to play a pivotal role in maintaining cancer cell stemness in the progression of esophageal squamous cell carcinoma (<xref ref-type="bibr" rid="B9">9</xref>). We previously reported that the results of miRNA microarray analysis revealed miR-21-3p to be significantly upregulated in HCC. Moreover, prior studies reported miR-21-3p to influence HCC growth <italic>via</italic> direct downregulation of adenosyltransferases 2A and 2B (MAT2A/MAT2B) (<xref ref-type="bibr" rid="B10">10</xref>). However, other key targets of miR-21-3p await elucidation.</p>
<p>The SMAD7 protein is the negative regulator of the transforming growth factor <italic>&#x3b2;</italic> (TGF-<italic>&#x3b2;</italic>) signaling transduction pathway; the protein exerts its action <italic>via</italic> binding TGF-<italic>&#x3b2;</italic> Receptor I (T<italic>&#x3b2;</italic>RI) and interfering with recruitment of the SMAD2/SMAD3 (R-SMAD) complex and blocking functional SMAD complexes from interacting with intranuclear DNA (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). A &#x201c;double-edged sword&#x201d; involved in maintaining physiologic cell proliferation and differentiation, the TGF-<italic>&#x3b2;</italic> signaling pathway is also key in tumor pathogenesis (<xref ref-type="bibr" rid="B13">13</xref>). Dysfunction of SMAD7 and excessive activation of the TGF-<italic>&#x3b2;</italic> signaling pathway were reported to be common in various types of cancers (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Feng et&#xa0;al.&#x2019;s team found that SMAD7 deletion accelerates HCC tumorigenesis in mouse models <italic>via</italic> activation of the STAT3 signaling pathway (<xref ref-type="bibr" rid="B16">16</xref>). The loss of function of SMAD7 was also reported to promote HCC cell proliferation, accelerate the G1-S phase transition and reduce cell apoptosis <italic>in vivo</italic> apoptosis (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Yes-associated protein 1 (YAP1) is the &#x201c;star nuclear effector&#x201d; of the Hippo pathway, which consists of a series of kinases (<xref ref-type="bibr" rid="B18">18</xref>). YAP1 is in hyperactive status and considered to be an oncogene in several types of solid tumors, including HCC (<xref ref-type="bibr" rid="B19">19</xref>). SIX4 promotes hepatocellular carcinoma metastasis through upregulating YAP1 (<xref ref-type="bibr" rid="B20">20</xref>). LncRNA B4GALT1-AS1 facilitates colon cancer cell stemness <italic>via</italic> recruiting YAP1 to the nucleus and enhancing YAP1 transcriptional activity (<xref ref-type="bibr" rid="B21">21</xref>). Cytoplasmic YAP1 was previously reported to partially inhibit TGF-<italic>&#x3b2;</italic> signal transduction in COS-7 cells (a CV-1 African green monkey fibroblast cell line transformed with a mutant strain of Simian Virus 40 (SV40)) <italic>via</italic> enhancement of SMAD7 binding to T<italic>&#x3b2;</italic>RI. Besides, YAP1 was demonstrated to be a novel SMAD7-interacting protein (<xref ref-type="bibr" rid="B22">22</xref>). Nevertheless, the relationship between SMAD7 and YAP1 in HCC pathogenesis remains unclear.</p>
<p>Here, we detail the consequences of miR-21-3p overexpression in human HCC cells. We also describe the facilitation of YAP1 expression and the subsequent promotion of malignant phenotype progression by miR-21-3p <italic>via</italic> direct targeting of SMAD7.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Tissue Collection and Cell Culture</title>
<p>16 pairs of HCC tissue samples and background liver tissue (BL) were obtained from patients suffering HCC who underwent partial hepatectomy between January 2019 and December 2020. After surgical resection, specimens were immediately snap-frozen in liquid nitrogen. RNA-later (#AM7201, ThermoFisher, USA) was added to the cryogenic vials to prevent RNA degradation for subsequent extraction. Collection and usage of these samples followed ethical and institutional guidelines; all protocols were implemented after obtaining written informed consent from donors. This study was approved by the local Zhongnan Hospital Ethics Committee of Wuhan University (Approval No.2018078).</p>
<p>Cell lines (L02, Huh7, HepG2, HCCL-M3) involved in this experiment were purchased from Stem Cell Bank, Chinese Academy of Sciences. A mixture of Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium (ThermoFisher), 10% fetal bovine serum (ThermoFisher), and 1% penicillin&#x2013;streptomycin were used in cell culturing. All cells were grown in a humidified environment at 5% CO<sub>2</sub> and 37&#xb0;C.</p>
</sec>
<sec id="s2_2">
<title>MiRNA Microarray Analysis</title>
<p>Microarray data adopted for analysis have been described in detail before (<xref ref-type="bibr" rid="B23">23</xref>). Data were uploaded to NCBI&#x2019;s Gene Expression Omnibus (GEO) public database <uri xlink:href="http://www.ncbi.nlm.nih.gov/geo/">http://www.ncbi.nlm.nih.gov/geo/</uri>, accession number, GSE20077).</p>
</sec>
<sec id="s2_3">
<title>RNA Extraction, Reverse Transcription and qRT-PCR</title>
<p>Total RNA extraction was performed using Trizol Reagent (Invitrogen, USA) according to manufacturer instructions. Detection of RNA quality and concentration was accomplished using the Nanodrop 2000 spectrophotometer (ThermoFisher); cDNA was obtained <italic>via</italic> a reverse transcription reaction with relevant kits (Toyobo, Japan). Gene and miRNA expression were examined using UltraSYBR Mixture (CWbio, China) and the CFX96Touch RT-PCR system (Biorad, USA). The mRNA levels of miR-21-3p and relevant genes were normalized to U6 (Ribobio, China) and GAPDH, respectively. The relative expression ratio was calculated using the 2<sup>&#x2212;&#x394;&#x394;Cq</sup> method. Primers used are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>.</p>
</sec>
<sec id="s2_4">
<title>MiRNA Related Reagents, Plasmid Construction, and Cell Transfection</title>
<p>Gain and loss of function of miR-21-3p were accomplished by transfecting miRNA mimics and inhibitors, respectively. Mimic- (mimic-NC) and inhibitor- (in-NC) negative controls were purchased from Ribobio. The complementary strand of miR-21-3p served as an inhibitor of miR-21-3p and competed for binding sites between miR-21-3p and target genes, but would not decrease the expression levels of miRNAs. The final concentration of these reagents was 50 nM. The SMAD7 expression vector (P-SMAD7) was constructed using a GV141 vector (GeneChem, China) with plasmids-NC (P-NC) serving as an experimental control. All transfection experiments were performed using Lipofectamine 2000 (Invitrogen, USA) according to manufacturer guidelines.</p>
</sec>
<sec id="s2_5">
<title>Western Blot</title>
<p>Proteins were collected using lysis buffer (Beyotime Biotechnology, China) containing protease inhibitor (PMSF, 1:100) and were centrifuged at 20627g for 20&#xa0;min at 4&#xb0;C; the supernatant was subsequently transferred to new tubes. Protein concentrations were detected using a BCA protein kit (Beyotime). Lysis buffer was mixed with protein loading buffer and protein was denatured at 100&#xb0;C for 5&#xa0;min. An equal amount of proteins was separated using SDS-polyacrylamide gels and then transferred to polyvinylidene fluoride (PVDF) membranes (Millipore, USA). Membranes were blocked for 2&#xa0;h with 5% skimmed milk and incubated with primary antibodies overnight at 4&#xb0;C. Secondary antibodies were subsequently added for 1.5&#xa0;h at room temperature. Protein bands were obtained using an enhanced chemiluminescence (ECL) kit (Servicebio, Wuhan, China) using GENESys (Synoptics Ltd, China). anti-SMAD7 (#25840-1-AP) was purchased from Proteintech (China). anti-YAP1 (#14074), anti-E-cad (#3195), anti-N-cad (#13116), anti-vimentin (#5741) and anti-CTGF (#86641); these antibodies were purchased from Cell Signaling Technologies (USA). Anti-Bcl2 (#ab182858), anti-Bax (#ab32503) and anti-GAPDH (#ab8245) antibodies were purchased from Abcam (UK) while Goat Anti-Rabbit IgG HCS (#A25222) and goat anti-mouse IgG-horseradish peroxidase (#A25012) were purchased from Abbkine (USA).</p>
</sec>
<sec id="s2_6">
<title>Dual-Luciferase Reporter Assay</title>
<p>A pmirGLO-SMAD7 vector was constructed, consisting of predicted binding sites that were mutated and ligated between the PmeI and XbaI restriction enzymes sites of the pmirGLO Dual-Luciferase miRNA Target Reporter Vector (#E1300, Promega, USA). The SMAD7 3&#x2032;-UTR region contains two putative binding sites for miR-21-3p, with seed regions at 1,428&#x2013;1,434 and 1,445&#x2013;1,451. The mutant 3 (Mut 3) strand mutated two binding sites simultaneously. The wild-type (WT) and mutant SMAD7 3&#x2032;-UTR luciferase reporter plasmids (0.25 &#x3bc;g/well) were co-transfected into huh-7 cells with miR-21-3p mimics or miR-NC (50 nM, 0.15 &#x3bc;l/well), respectively. A Dual-Glo Luciferase Assay System (#E2920, Promega) was employed to investigate firefly luciferase and Renilla luciferase activity 24&#xa0;h after transfection, respectively. Firefly luciferase activity was normalized to Renilla luciferase activity. Data were collected using Enspire 2300 (PerkinElmer). Six repetitions per group were calculated.</p>
</sec>
<sec id="s2_7">
<title>Cell Apoptosis and Flow Cytometry Assays</title>
<p>A total of 4 &#xd7; 10<sup>5</sup> cells were transfected with miR-21-3p mimics with/or SMAD7 plasmids. After 24&#xa0;h, cells were collected (including dead cells in culture medium); Huh-7 and Hep-G2 cells were processed according to Annexin V-FITC/PI Double stain apoptosis detection kit manufacturer instructions (#4101-2, BestBio, China). Fluorescence intensity on the flow cytometer was promptly collected to investigate the rate of apoptosis (Cytoflex Beckman, China).</p>
</sec>
<sec id="s2_8">
<title>Cell Invasion and Metastasis Assay</title>
<p>The protocol for processing HCC cell lines was identical to the above cell apoptosis assay. Cells were harvested at 24&#xa0;h post-transfection, suspended in 5% FBS culture medium and seeded at 5 &#xd7; 10<sup>4</sup> cells per upper chamber (6.5&#xa0;mm. in diameter, 8.0 um pore size, Corning, USA). The lower chamber was filled with 600 &#x3bc;l of medium (15% FBS). Cells were fixed with 4% paraformaldehyde for 20&#xa0;min at room temperature and stained with 0.1% crystal violet (Sigma-Aldrich, USA). The upper cells were wiped with cotton swabs. Random photographs of 200&#xd7; fields were taken using an inverted microscope (Olympus IX3). The difference between cell invasion and migration assays was that in the latter, one upper chamber required pretreatment with 0.3% Matrigel matrix (#356234, Corning); this was performed at 37&#xb0;C for 4&#xa0;h. Three independent experiments were performed.</p>
</sec>
<sec id="s2_9">
<title>Animal Experiments</title>
<p>A Wistar rat model was established as previously described and rats were grouped according to the Metavir score system (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). In brief, Wistar rats (male, aged 7&#x2013;8 weeks and weighing 200&#x2013;220 g) were purchased from Beijing Vital River Laboratory Animal Technology Co., Ltd (China). All animal handling methods and experimental procedures were approved by the Animal Care and Use Committee of Wuhan University in accordance with the Animal Experiment/Animal Biosafety Level-III Laboratory Guidelines. Rats were injected with 40% carbon tetrachloride (CCl4) dissolved in maize oil (1.5ml/kg) twice per week. At 8, 14, and 18 weeks, liver fibrosis, cirrhosis, and HCC manifested, respectively. Hematoxylin&#x2013;eosin and Masson staining images of rat tissues are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1A</bold>
</xref>.</p>
</sec>
<sec id="s2_10">
<title>Immunohistochemistry</title>
<p>Immunohistochemical staining of patient and animal tissues was performed by the Servicebio Company. Tissue photographs were taken using an inverted microscope (Olympus IX3). Positively stained cells were counted in at least five fields from each area at 400&#xd7; magnification. Primary antibodies were:</p>
<p>Anti-SMAD7: (#25840-1-AP, Proteintech): 1:200; anti-YAP1 (#14074, Cell Signaling Technology): 1:400.</p>
</sec>
<sec id="s2_11">
<title>Gene Set Variation Analysis and Kyoto Encyclopedia of Genes and Genomes Pathways Analysis With miR-21-3p/SMAD7 Expression</title>
<p>GSVA, an open-source software package for R (3.5.2), was adopted to explore the potential biological relevance of genes according to their levels of expression. Findings are presented in the form of the intuitive volcano and specific heat maps. Gene terms with |logFC| &#x2265;0.1 and <italic>P &lt;</italic>0.05 were considered statistically significant. The KEGG gene sets (c2.cp.kegg.v6.2.symbols.gmt) downloaded from the Molecular Signatures Database&#x2013;MsigDB (<uri xlink:href="http://www.broad.mit.edu/gsea/msigdb/index.jsp">http://www.broad.mit.edu/gsea/msigdb/index.jsp</uri>) were used for miRNA enrichment analysis.</p>
</sec>
<sec id="s2_12">
<title>Bioinformatics Data</title>
<p>MicroRNA Target Prediction Database (miRDB), PicTar and TargetScan databases were used for searching miRNA targets and predicting binding sites. Cohort data, including RNA sequencing and clinical data of 376 HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database (<uri xlink:href="https://portal.gdc.cancer.gov/">https://portal.gdc.cancer.gov/</uri>). Data with incomplete clinical information were excluded during analysis. Clinical characteristics of HCC patients from the TCGA database are detailed in <xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Clinical characteristics of HCC patients from the studied TCGA data set.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Group</th>
<th valign="top" align="center">Case</th>
<th valign="top" align="center">Percentage (%)</th>
<th valign="top" align="center">Total (N)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&lt;60<break/>&#x2265;60</td>
<td valign="top" align="center">172<break/>204</td>
<td valign="top" align="center">45.70%<break/>54.30%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male<break/>Female</td>
<td valign="top" align="center">254<break/>122</td>
<td valign="top" align="center">67.60%<break/>32.40%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">Status</td>
<td valign="top" align="left">Live<break/>Dead</td>
<td valign="top" align="center">248<break/>128</td>
<td valign="top" align="center">66.00%<break/>34.00%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">Grade</td>
<td valign="top" align="left">G1 + G2<break/>G3 + G4<break/>Unknown</td>
<td valign="top" align="center">235<break/>136<break/>5</td>
<td valign="top" align="center">62.50%<break/>36.20%<break/>1.30%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">Stage</td>
<td valign="top" align="left">I<break/>II<break/>III+IV<break/>Unknown</td>
<td valign="top" align="center">175<break/>86<break/>91<break/>24</td>
<td valign="top" align="center">46.50%<break/>22.90%<break/>24.20%<break/>6.40%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">T</td>
<td valign="top" align="left">T1<break/>T2<break/>T3<break/>T4<break/>Unknown</td>
<td valign="top" align="center">185<break/>94<break/>81<break/>13<break/>3</td>
<td valign="top" align="center">49.20%<break/>25.00%<break/>21.50%<break/>3.50%<break/>0.80%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">N</td>
<td valign="top" align="left">N0<break/>N1<break/>NX</td>
<td valign="top" align="center">257<break/>4<break/>115</td>
<td valign="top" align="center">68.40%<break/>1.00%<break/>30.60%</td>
<td valign="top" align="center">376</td>
</tr>
<tr>
<td valign="top" align="left">M</td>
<td valign="top" align="left">M0<break/>M1<break/>MX</td>
<td valign="top" align="center">272<break/>4<break/>100</td>
<td valign="top" align="center">72.30%<break/>1.10%<break/>26.60%</td>
<td valign="top" align="center">376</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_13">
<title>Statistical Analysis</title>
<p>Data were presented as mean &#xb1; standard deviation (SD) and analyzed using the Student&#x2019;s t-test or one-way ANOVA. Quantitative data were representative of three experiments. Wilcoxon signed-rank and Wilcoxon rank-sum tests were adopted to analyze gene expression in paired and non-paired tissue samples. The relationship between clinicopathological characteristics and gene expression was evaluated using the Wilcoxon rank-sum test. Prognosis analysis was performed using the Kaplan&#x2013;Meier method and univariate Cox regression. All statistical analyses and data plotting were performed using R (v.3.5.2); <italic>P</italic>&lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>The Upregulation of miR-21-3p in HCC and Its Clinical Significance Based on Bioinformatics Analysis</title>
<p>Based on our earlier chip analysis results, which were sorted by <italic>P</italic>-value and differential expression, miR-21-3p was found to be significantly (<italic>P</italic> = 0.0278) upregulated in HCC as compared to normal liver tissue (<xref ref-type="table" rid="T2">
<bold>Table 2</bold>
</xref>). To further verify chip analysis results, miR-21-3p mRNA expression was examined in both human HCC as well as Wistar rat model tissues, respectively. Results revealed miR-21-3p to have been significantly enriched in human HCC tissues as compared to background liver tissues [<xref ref-type="fig" rid="f1">
<bold>Figure 1A(a)</bold>
</xref>]. Such upregulation was also observed in tissues obtained from rats with late-stage liver fibrosis and cirrhosis [<xref ref-type="fig" rid="f1">
<bold>Figure 1A(b)</bold>
</xref>]. Relative to normal human L02 cells, miR-21-3p levels were increased in Huh-7, Hep-G2, and HCCL-M3 HCC cell lines [<xref ref-type="fig" rid="f1">
<bold>Figure 1A(c)</bold>
</xref>]. Considering expression consistency in human tissues, rat liver disease models and cell lines, miR-21-3p upregulation was further investigated. Data downloaded from TCGA, including the clinicopathological characteristics of 376 HCC patients (<xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>), were divided into high and low miR-21-3p expression groups. Patients with high miR-21-3p expression were significantly correlated with advanced clinical stages (<italic>P</italic> = 0.029), especially higher T staging (<italic>P</italic> = 0.026), while no significant differences were observed in patient age or gender (<xref ref-type="fig" rid="f1">
<bold>Figure 1B</bold>
</xref>). Higher miR-21-3p expression was also correlated to shorter 10-year overall survival (OS) time (log-rank <italic>P</italic> = 0.026) (<xref ref-type="fig" rid="f1">
<bold>Figure 1C</bold>
</xref>). GSVA analysis of miR-21-3p displayed that high miR-21-3p expression was mainly enriched among 20 pathways in the progression of HCC (<xref ref-type="fig" rid="f1">
<bold>Figure 1D</bold>
</xref>). The top three relevant gene sets were involved in nitrogen metabolism, fatty acid metabolism and primary bile acid biosynthesis, underscoring the vital influence miR-21-3p exerts on cellular metabolic activity (<xref ref-type="fig" rid="f1">
<bold>Figure 1E</bold>
</xref>). KEGG pathway analysis of miR-21-3p targets revealed that downstream targets were strongly associated with metabolic pathways, the Hippo signaling pathway and TGF-&#x3b2; transduction pathway (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). The intersections of miR-21-3p potential targets from three authoritative databases, namely TargetScan, PicTar, and miRDB, were SMAD7, HBP1, and FBXO11, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure 1F</bold>
</xref>). Of these, SMAD7 scored highest (<xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). The relationship between miR-21-3p and SMAD7, however, requires further elucidation.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Levels of miRNA expression in all three HCC cases and corresponding normal liver samples (top 10 listed here).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">No.</th>
<th valign="top" align="center">#Term</th>
<th valign="top" align="center">diff_(HCC<sup>a</sup> <italic>vs</italic> NLT<sup>b</sup>)</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Correct_P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">hsa-miR-34a</td>
<td valign="top" align="center">2.8754</td>
<td valign="top" align="center">0.0023</td>
<td valign="top" align="center">0.0189</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">hsa-miR-224</td>
<td valign="top" align="center">5.6242</td>
<td valign="top" align="center">0.0025</td>
<td valign="top" align="center">0.0189</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">hsa-miR-34b</td>
<td valign="top" align="center">2.5661</td>
<td valign="top" align="center">0.0050</td>
<td valign="top" align="center">0.0252</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">hsa-miR-21-3p</td>
<td valign="top" align="center">1.9786</td>
<td valign="top" align="center">0.0059</td>
<td valign="top" align="center">0.0278</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">hsa-miR-222</td>
<td valign="top" align="center">2.5337</td>
<td valign="top" align="center">0.0316</td>
<td valign="top" align="center">0.0957</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">hsa-miR-513a-5p</td>
<td valign="top" align="center">2.0848</td>
<td valign="top" align="center">0.0508</td>
<td valign="top" align="center">0.0300</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">hsa-miR-500a-3p</td>
<td valign="top" align="center">1.8265</td>
<td valign="top" align="center">0.0758</td>
<td valign="top" align="center">0.1278</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">hsa-505-5p</td>
<td valign="top" align="center">1.7973</td>
<td valign="top" align="center">0.1086</td>
<td valign="top" align="center">0.1496</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">hsa-miR-18a</td>
<td valign="top" align="center">0.1896</td>
<td valign="top" align="center">0.1896</td>
<td valign="top" align="center">0.2054</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">hsa-miR-500</td>
<td valign="top" align="center">1.7753</td>
<td valign="top" align="center">0.1898</td>
<td valign="top" align="center">0.2054</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>
<sup>a</sup>hepatocellular carcinoma; <sup>b</sup>normal liver tissue.</p>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<caption>
<p>
<bold>Figure 1</bold> Upregulation and clinical significance of miR-21-3p in hepatocellular carcinoma (HCC). <bold>(A)</bold> TaqMan quantitative RT-PCR was performed to analyze microRNA-21-3p (miR-21-3p) expression; 16 pairs of human HCC and counterpart background liver (BL) tissue were examined <bold>(A</bold>-a<bold>)</bold>; Normal liver tissue (NLT), fibrotic (F1&#x2013;F3) and cirrhotic (F4) tissue from rat models were also analyzed <bold>(A</bold>-b<bold>)</bold>; MiR-21-3p expression in L02, Huh-7, Hep-G2 and HCCL-M3 cell lines <bold>(A</bold>-c<bold>)</bold>; Each dot indicates the level of expression in an individual case, calculated by the 2<sup>&#x2212;&#x394;&#x394;Ct</sup> method. <bold>(B)</bold> Association of the miR-21-3p expression level with clinicopathological characteristics (age, gender, and TNM staging, respectively). <bold>(C)</bold> Kaplan&#x2013;Meier curves representing the relationship between miR-21-3p and the overall survival (OS, as percentage) in HCC patients among the studied data set from The Cancer Genome Atlas (TCGA) (n = 376). Statistical significance between miRNA expression and OS was determined using the log-rank test. <bold>(D)</bold> Volcano map of the microarray gene set variation analysis (GSVA) data based on high or low miR-21-3p expression. <bold>(E)</bold> Kyoto Encyclopedia of Genes and Genomes pathways of miR-21-3p, based on TCGA data GSVA in HCC. Significant terms are described in the heat map (top 13 listed). <bold>(F)</bold> Venn diagram of the intersections of three databases (miRDB, TargetScan, and PicTar) of predicted downstream target genes of miR-21-3p. *P &lt; 0.05, **P &lt; 0.01, ****P &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g001.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of miR-21-3p downstream targets (top 12 listed here).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">#Term</th>
<th valign="top" align="center">ID</th>
<th valign="top" align="center">Input number</th>
<th valign="top" align="center">Background number</th>
<th valign="top" align="center">P-Value</th>
<th valign="top" align="center">Corrected P-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Metabolic pathways</td>
<td valign="top" align="center">hsa01100</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1243</td>
<td valign="top" align="center">0.0068</td>
<td valign="top" align="center">0.0303</td>
</tr>
<tr>
<td valign="top" align="left">Pathways in cancer</td>
<td valign="top" align="center">hsa05200</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">397</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.0110</td>
</tr>
<tr>
<td valign="top" align="left">MAPK signaling pathway</td>
<td valign="top" align="center">hsa04010</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">255</td>
<td valign="top" align="center">0.0003</td>
<td valign="top" align="center">0.0063</td>
</tr>
<tr>
<td valign="top" align="left">PI3K-Akt signaling pathway</td>
<td valign="top" align="center">hsa04151</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">342</td>
<td valign="top" align="center">0.0030</td>
<td valign="top" align="center">0.0173</td>
</tr>
<tr>
<td valign="top" align="left">cGMP-PKG signaling pathway</td>
<td valign="top" align="center">hsa04022</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">167</td>
<td valign="top" align="center">2.89E-05</td>
<td valign="top" align="center">0.0016</td>
</tr>
<tr>
<td valign="top" align="left">Ubiquitin mediated proteolysis</td>
<td valign="top" align="center">hsa04120</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">2.93E-05</td>
<td valign="top" align="center">0.0016</td>
</tr>
<tr>
<td valign="top" align="left">Insulin signaling pathway</td>
<td valign="top" align="center">hsa04910</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">3.29E-05</td>
<td valign="top" align="center">0.0016</td>
</tr>
<tr>
<td valign="top" align="left">Hippo signaling pathway</td>
<td valign="top" align="center">hsa04390</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">7.42E-05</td>
<td valign="top" align="center">0.0022</td>
</tr>
<tr>
<td valign="top" align="left">cAMP signaling pathway</td>
<td valign="top" align="center">hsa04024</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">199</td>
<td valign="top" align="center">0.0005</td>
<td valign="top" align="center">0.0085</td>
</tr>
<tr>
<td valign="top" align="left">HTLV-I infection</td>
<td valign="top" align="center">hsa05166</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">259</td>
<td valign="top" align="center">0.0034</td>
<td valign="top" align="center">0.01838</td>
</tr>
<tr>
<td valign="top" align="left">TGF-beta signaling pathway</td>
<td valign="top" align="center">hsa04350</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">0.0013</td>
<td valign="top" align="center">0.0110</td>
</tr>
<tr>
<td valign="top" align="left">mTOR signaling pathway</td>
<td valign="top" align="center">hsa04150</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">0.0060</td>
<td valign="top" align="center">0.0269</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>Intersection of potential miR-21-3p targets based on analysis of three online databases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Target Gene</th>
<th valign="top" align="center">TargetScan total context score</th>
<th valign="top" align="center">miRDBtarget score</th>
<th valign="top" align="center">PicTar score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">SMAD7</td>
<td valign="top" align="center">&#x2212;0.39</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">2.15</td>
</tr>
<tr>
<td valign="top" align="left">HBP1</td>
<td valign="top" align="center">&#x2212;0.15</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">2.22</td>
</tr>
<tr>
<td valign="top" align="left">FBXO11</td>
<td valign="top" align="center">&#x2212;0.23</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">2.79</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>SMAD7, a Direct Target of miR-21-3p, Was Decreased in HCC</title>
<p>The KEGG enrichment results of miR-21-3p and prediction of potential target scores were considered when evaluating expression of SMAD7 in human and rat model tissue samples, respectively. Compared to background liver tissue, SMAD7 was decreased in HCC (9/10) [<xref ref-type="fig" rid="f2">
<bold>Figure 2A(a)</bold>
</xref>
<bold>]</bold>. In addition, lighter brown staining was observed in HCC as compared to background liver tissue [<xref ref-type="fig" rid="f2">
<bold>Figure 2B(a)</bold>
</xref>]. Along with the progression of liver disease in rat models, SMAD7 deletion in rats with advanced fibrosis and cirrhosis (F3, F4) (F: fibrosis) was observed in terms of protein expression levels when compared to normal rats [<xref ref-type="fig" rid="f2">
<bold>Figure 2A(b)</bold>
</xref>]; immunohistochemical staining confirmed this trend [<xref ref-type="fig" rid="f2">
<bold>Figure 2B(b)</bold>
</xref>]. Considering the apparent up-regulation of miR-21-3p and down-regulation of SMAD7 in HCC, the Dual-Luciferase assay was performed in Huh-7 cells to confirm the linear regulatory association among miR-21-3p and SMAD7. Binding site prediction revealed two high-scoring potential binding sites in the 3&#x2032;-UTR region of SMAD7. In the miR-21-3p and reporter vector containing wild-type SMAD7 co-transfection group, luciferase activity was found to be significantly inhibited, while in the group containing mutant SMAD7 reporter vectors, the inhibition efficiency was not found to be statistically significant between miR-NC and miR-21-3p groups (<xref ref-type="fig" rid="f2">
<bold>Figure 2C</bold>
</xref>). The above findings indicate that the predicted binding sites likely both inhibit SMAD7.</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>SMAD7, a direct target of miR-21-3p, was decreased in HCC. <bold>(A)</bold> Western blotting and density photography of SMAD7 expression in human HCC (T: tumor) and background liver tissue (B: background) (a); SMAD7 and YAP1 expression in different stages of rat hepatocarcinogenesis, including normal, fibrotic (F1&#x2013;F3) and cirrhotic (F4) tissue (b). <bold>(B)</bold> SMAD7 expression in HCC (a) and rat liver tissue in different stages of tumorigenesis (b) as illustrated by immunohistochemical methods (magnification 400&#xd7;). Six paired human and three rat samples from each group were statistically analyzed. <bold>(C)</bold> Base pairing complement detailed the two putative YAP1 miR-21-3p binding sites at 3&#x2019;-UTR predicted by TargetScan. PmiR-GLO-SMAD7 vector was co-transfected with mimic-21 or mimic-NC; wild-type (WT); or mutant (Mut). Mut-1-2 represents the two predicted binding sites. Mut-3 represents two mutant binding sites. Luciferase activity assay of pmiR-GLO-SMAD7-3&#x2019;-UTR co-transfection with miR-21-3p or NC mimics. Firefly luciferase activity was measured 24&#xa0;h after transfection and normalized to Renilla luciferase activity. All data for miR-NC groups were set as 1. All experiments were performed in triplicate. Data are presented as mean &#xb1; SEM. *P &lt; 0.05,**P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Overexpression of SMAD7 Partly Abrogates the Tumorigenic Effect of miR-21-3p on Malignant Phenotypes in HCC</title>
<p>Expression of SMAD7 increased after transfection of miR-21-3p inhibitors and decreased following transfection of miR-21-3p mimics in Huh-7 [<xref ref-type="fig" rid="f3">
<bold>Figure 3A(a)</bold>
</xref>] and Hep-G2 [<xref ref-type="fig" rid="f3">
<bold>Figure 3A(b)</bold>
</xref>] cells. To investigate the effects of the miR-21-3p/SMAD7 axis on HCC malignant phenotypes, biomarkers associated with cell apoptosis, migration, and invasion were studied. The pro-apoptotic protein Bax and epithelial signature protein E-cadherin (E-cad) were found to be upregulated, while the anti-apoptotic protein Bcl-2, mesenchymal characteristic protein N-cadherin (N-cad) and vimentin were downregulated after down-regulating miR-21-3p in Huh-7 and Hep-G2 cells, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure 3A</bold>
</xref>). Effects of miR-21-3p on malignant cellular biomarkers were partly attenuated by SMAD7 co-transfection in both cell lines (<xref ref-type="fig" rid="f3">
<bold>Figure 3B</bold>
</xref>). Flow cytometry results revealed that rates of early apoptosis, as evidenced by green staining, were increased after SMAD7 transfection (<italic>P</italic> &lt; 0.01) (<xref ref-type="fig" rid="f4">
<bold>Figure 4A</bold>
</xref>). Migration [<xref ref-type="fig" rid="f4">
<bold>Figure 4B (a-b)</bold>
</xref>] and invasion [<xref ref-type="fig" rid="f4">
<bold>Figure 4B(c-d)</bold>
</xref>] were enhanced by transfection of miR-21-3p mimics and partly reversed by SMAD7 restoration.</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>Cell phenotype biomarker variation after SMAD7 transfection with or without miR-21-3p mimics. <bold>(A)</bold> Western blotting revealing expression of the pro-apoptotic proteins Bax and Bcl-2 and the epithelial&#x2013;mesenchymal transition (EMT) proteins E-cadherin, N-cadherin and vimentin 48&#xa0;h after transfection with miR-21-3p inhibitors with or without mimics in Huh-7 (a) and Hep-G2 (b) cells, respectively. Transfection efficiency is listed alongside the image. <bold>(B)</bold> SMAD7 plasmids (P-SMAD7) were constructed to overexpress SMAD7; plasmids-NC (P-NC) served as control. Transfection efficiency of SMAD7 is listed alongside the image. Pro-apoptotic (Bcl-2, Bax) and EMT (E-cadherin, N-cadherin, vimentin) biomarkers were quantified after P-SMAD7 and/or miR-21-3p mimic co-transfection in Huh-7 (a) and Hep-G2 (b) cells; photo density in group 1 (mimic-NC+ P-NC) was set at 1. All experiments were performed in triplicate. Data are presented as mean &#xb1; SEM. **P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure 4</label>
<caption>
<p>Effects of miR-21-3p on malignant HCC phenotypes could be partly reversed <italic>via</italic> SMAD7 overexpression. <bold>(A)</bold> Flow cytometry was performed to analyze the apoptotic index of Huh-7 (a) and Hep-G2 (b) cells after transfection. Cells were co-stained with Annexin FITC/PI; Annexin FITC+/PI- cells that stained green were considered as being in early apoptosis. Normal, late-stage apoptotic and necrotic cells are shown in yellow, red and purple, respectively. Three independent experiments were performed. Data are shown as mean &#xb1; SD. <bold>(B)</bold> Transwell assay was performed to detect the migration (a, b) and invasion (c, d) in Huh-7 and Hep-G2 cells separately after transfection. *P &lt; 0.05, **P &lt; 0.01; ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>MiR-21-3p Enhanced YAP1 Expression Partly <italic>via</italic> Downregulation of SMAD7</title>
<p>KEGG pathway enrichment analysis revealed that miR-21-3p associates significantly with the Hippo/YAP1 pathway (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). Notably, a prior study reported cytoplasmic YAP1 to enhance SMAD7 binding to activated T<italic>&#x3b2;</italic>RI (<xref ref-type="bibr" rid="B22">22</xref>). To further investigate potential associations among, miR-21-3p, SMAD7 and YAP1 in HCC, YAP1 expression was detected in both human and rat model HCC tissues. Compared to background liver tissue, YAP1 was found to be enriched in human HCC tissues (8/10) (<xref ref-type="fig" rid="f5">
<bold>Figure 5A</bold>
</xref>), as well as in advanced liver fibrosis and cirrhosis tissues compared to early stages (F1, F2) (F: fibrosis) [<xref ref-type="fig" rid="f2">
<bold>Figure 2A(b)</bold>
</xref>]. Darker brown staining on immunohistochemistry was observed in HCC tissues [<xref ref-type="fig" rid="f5">
<bold>Figure 5B (a)</bold>
</xref>] as well as F3 and F4 stages in rat tissues as compared to F1 [<xref ref-type="fig" rid="f5">
<bold>Figure 5B (b)</bold>
</xref>]. In both Huh-7 and Hep-G2 cells, YAP1 expression was upregulated by miR-21-3p and inhibited after reducing miR-21-3p [<xref ref-type="fig" rid="f5">
<bold>Figures 5C(a, b)</bold>
</xref>]. On the protein level, promotion of YAP1 expression was partly attenuated by co-transfecting SMAD7 [<xref ref-type="fig" rid="f5">
<bold>Figure 5C(b)</bold>
</xref>]. However, neither miR-21-3p nor SMAD7 had any significant influence on YAP1 mRNA levels [<xref ref-type="fig" rid="f5">
<bold>Figures 5C (c, d)</bold>
</xref>]. Besides, mRNA (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S2A</bold>
</xref>) and protein [<xref ref-type="fig" rid="f5">
<bold>Figure 5C(b)</bold>
</xref>] expression trends of connective tissue growth factor (CTGF), previously demonstrated to be the direct nuclear target of YAP1, were consistent with YAP1 here (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<fig id="f5" position="float">
<label>Figure 5</label>
<caption>
<p>YAP1 is upregulated in HCC and is facilitated by miR-21-3p <italic>via</italic> SMAD7 inhibition. <bold>(A)</bold> Western blotting was performed to show YAP1 expression in human HCC (T: tumor) and corresponding background liver tissue (BL) (B: background). Photographs are detailed alongside. <bold>(B)</bold> YAP1 expression in HCC, BL (a) and different liver disease stages in a rat model (b) was evaluated <italic>via</italic> immunohistochemical staining (magnification 400&#xd7;). Six paired human and three rat samples in each group were statistically analyzed. <bold>(C)</bold> Western blotting of YAP1 48&#xa0;h after transfection with miR-21-3p inhibitors or mimics in Huh-7 and Hep-G2 cells (a); protein (b) and mRNA (c, d) YAP1 expression after plasmid-SMAD7 transfection, with or without miR-21-3p mimics. Experiments were performed separately in triplicate. *P &lt; 0.05, **P &lt; 0.01; ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>The Clinical Significance of SMAD7/YAP1 Based on Bioinformatics Analysis</title>
<p>SMAD7 was decreased (<italic>P</italic> = 4.578e-04) and YAP1 (<italic>P</italic> = 3.6e-05) was increased in HCC compared to adjacent normal liver tissues based on data of 376 HCC patients downloaded from TCGA database (<xref ref-type="fig" rid="f6">
<bold>Figure 6A</bold>
</xref>). Analysis of RNA sequencing and patient clinicopathological data revealed that higher levels of SMAD7 associate with lower grades (<italic>P</italic> = 0.047) [<xref ref-type="fig" rid="f6">
<bold>Figure 6B (a)</bold>
</xref>]. In addition, higher YAP1 levels were found to associate with higher disease stages (<italic>P</italic> = 0.037), in particular, M stages (<italic>P</italic> = 0.045) [<xref ref-type="fig" rid="f6">
<bold>Figure 6B(b)</bold>
</xref>]. Co-survival analysis revealed that lower miR-21-3p/higher SMAD7 (<italic>P</italic> = 0.0494) and lower miR-21-3p/lower YAP1 (<italic>P</italic> = 0.0379) ratios associate with a better five-year OS rate (<xref ref-type="fig" rid="f6">
<bold>Figure 6C</bold>
</xref>). GSVA data, presented as a volcano map, revealed SMAD7 to be mainly involved in 18 pathways (<xref ref-type="fig" rid="f6">
<bold>Figure 6D</bold>
</xref>). Among them, the TGF-<italic>&#x3b2;</italic> signaling pathway and the Notch signaling pathway were most relevant in HCC (<xref ref-type="fig" rid="f6">
<bold>Figure 6E</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure 6</label>
<caption>
<p>The clinical significance of SMAD7/YAP1 in HCC based on bioinformatics analysis. <bold>(A)</bold> Discrepancies in SMAD7 (a) and YAP1 (b) expression levels in liver tumor tissues (Tumor) and non-paired relative normal samples (Normal) from the TCGA database are presented. <bold>(B)</bold> Relationship between expression of SMAD7 (a), YAP1 (b) and HCC clinicopathological terms as quantified using the Wilcoxon rank-sum test. Data with incomplete clinical traits were excluded from analysis. <bold>(C)</bold> Kaplan-Meier curves representing overall survival (OS, as percentage) in HCC patients based on miR-21-3p/SMAD7 or miR-21-3p/YAP1 levels from the studied TCGA data set (n = 376). Statistical significance among miRNA/mRNA expression and OS was determined using the log-rank test. SMAD7-related KEGG pathways based on gene set variation analysis of TCGA data are shown in volcano <bold>(D)</bold> and heat <bold>(E)</bold> maps (top ten including representative terms), respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>As the second leading cause of cancer-related death worldwide, HCC still lacks efficient treatments. Pathological miRNA expression plays a critical role in cancer pathogenesis. According to data obtained from our microarray analysis, miR-21-3p ranked fourth based variance and <italic>P</italic>-values, while miR-34a, miR-224 and miR-34b ranked top three, respectively. The miR-34 family was reported to associate with DNA methylation in HCC (<xref ref-type="bibr" rid="B27">27</xref>), while miR-224 was reported to promote HCC migration and invasion <italic>via</italic> Homeobox D gene targeting (<xref ref-type="bibr" rid="B28">28</xref>). Prior literature primarily focused on introducing the function of the guide strand of miR-21, miR-21-5p, in HCC; not much data concerning the passenger strand miR-21-3p were detailed. Increasing studies have detailed the function of miR-21-3p, thereby furthering knowledge of the role this miRNA plays in cellular signaling (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Importantly, miR-21-3p may be used as a signature in predicting the survival rate of triple-negative breast cancer patients (<xref ref-type="bibr" rid="B31">31</xref>). In addition, its overexpression facilitates pulmonary metastasis by compromising the junction between tumor and stromal cells (<xref ref-type="bibr" rid="B8">8</xref>). Here, miR-21-3p levels were found to be increased in HCC tissue samples compared to adjacent background liver tissue (<italic>P</italic> &lt; 0.001), suggesting a poor prognosis. Furthermore, mRNA expression level analysis of miR-21-3p in rat models revealed that miR-21-3p is involved in not only HCC progression but also tumorigenesis. KEGG pathway analysis of miR-21-3p binding targets revealed a significant association with the TGF-<italic>&#x3b2;</italic> transduction and Hippo signaling pathways. The abnormal overexpression of miR-21-3p perpetuated malignant HCC phenotypes.</p>
<p>A number of chronic liver pathologies including fibrosis and cirrhosis are strongly associated with the development of HCC (<xref ref-type="bibr" rid="B32">32</xref>). One in three patients with cirrhosis will develop HCC in their life (<xref ref-type="bibr" rid="B33">33</xref>). Dysregulation of the TGF-<italic>&#x3b2;</italic>/SMAD family was confirmed in the setting of liver fibrosis and cirrhosis (<xref ref-type="bibr" rid="B34">34</xref>). Subsequent evidence demonstrated that miRNAs were involved in both liver fibrosis and cirrhosis <italic>via</italic> direct targeting of SMAD proteins (<xref ref-type="bibr" rid="B35">35</xref>). The promotion of epithelial&#x2013;mesenchymal transition and cancer cell metastasis by TGF-<italic>&#x3b2;</italic> and the SMAD family was reported in a great number of malignancies. Of note, SMAD7 is known to be one of the most significant regulators of the TGF-<italic>&#x3b2;</italic> pathway. Our findings highlighted the role of SMAD7 in HCC pathogenesis. The absence of SMAD7 was widely noted in HCC tissues compared to background liver tissue, and a pronounced decline in SMAD7 levels in rat models with advanced liver fibrosis and cirrhosis was found as compared to normal rat liver tissue. In addition, SMAD7 deletion was consistently noted in HCC cell lines (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S2B</bold>
</xref>). We confirmed SMAD7 to be a direct target of miR-21-3p in HCC. Restoration of SMAD7 levels was found to impair Huh-7 and Hep-G2 cell migration and invasion capabilities, which were noted to be enhanced by miR-21-3p. GSVA analysis revealed SMAD7 to be mainly involved in the TGF-<italic>&#x3b2;</italic> signaling transduction pathway in HCC. Deletion of SMAD7 in the progression of HCC is thus of vital importance.</p>
<p>Previous genetic analysis of miR-21-3p targets confirmed that miR-21-3p is strongly associated with the Hippo signaling pathway. Cross-talk between the TGF-&#x3b2;/SMAD and Hippo/YAP1 signaling pathways has also been widely studied&#xa0; (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). YAP1, a protein that interacts with SMAD7, plays diverse roles in various illnesses (<xref ref-type="bibr" rid="B22">22</xref>). Increased levels of SMAD7 were observed in approximately 50% of pancreatic cancer cases, with increased SMAD7 and YAP1 mRNA expression found to contribute to resistance against TGF-<italic>&#x3b2;</italic> signaling in this condition (<xref ref-type="bibr" rid="B38">38</xref>). Intranuclear SMAD7 promotes YAP1 translocation from the nucleus to the cytoplasm and blocks YAP1 transcription, inhibiting HCC progression (<xref ref-type="bibr" rid="B39">39</xref>). In the cytoplasm, YAP1 facilitates SMAD7 to activated T<italic>&#x3b2;</italic>RI and inhibits the TGF-<italic>&#x3b2;</italic>/SMAD signal transduction. The counterbalance between SMAD7 and YAP1 exerts a great impact on the TGF-<italic>&#x3b2;</italic> signal transduction. Here, we explored interactions among miR-21-3p, SMAD7 and YAP1. Our findings revealed YAP1 expression to be increased in HCC tissues compared to background liver tissue. In the advanced stages of liver disease in rat models, YAP1 expression was higher than in normal liver tissue. Overexpression of miR-21-3p was found to enhance YAP1 expression; YAP1 overexpression <italic>via</italic> miR-21-3p was partly reversed by SMAD7 transfection. Increased levels of YAP1 were found to promote the expression of nuclear transcription factor CTGF. Lower SMAD7 expression facilitates the intranuclear entry of YAP1 and the subsequent initiation of downstream factor transcription. <italic>In vitro</italic> experiments revealed this phenomenon to be more pronounced in Huh-7 as compared to Hep-G2 cells, and this is likely of relevance to intracellular miR-21-3p and SMAD7 expression [<xref ref-type="fig" rid="f1">
<bold>Figure 1A(c)</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S2B</bold>
</xref>].</p>
<p>Recent studies have suggested that not only is YAP1 regulated by a series of miRNAs, but that nuclear YAP1/TAZ (the paralog of YAP1) influences the conversion of pri-miRNA into pre-miRNA (<xref ref-type="bibr" rid="B40">40</xref>). The Hippo/YAP1 signaling pathway is currently understood to be the key pathway that converts physicomechanical into biochemical signals to affect cellular functions. The characteristic microenvironment that distinguishes HCC from other malignancies is an increase in local mechanical stress and stiffness. Over half of HCC manifests in the setting of existing cirrhosis. Hepatic fibrosis and cirrhosis are typical examples of extracellular matrix sclerosis (<xref ref-type="bibr" rid="B41">41</xref>). Although data were varied among studied patients, the stiffness of HCC tissue (55 kpa) was reported to be almost 10 times that of normal liver tissue (4 kpa) as detected by Fibroscan (<xref ref-type="bibr" rid="B42">42</xref>). Previous studies confirmed YAP1 to be a mechano-transducing effector that translocates from the cytoplasm to the nucleus when cells are shifted from soft to stiff matrices (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>), consistent with our findings studying rat model fibrosis and cirrhosis. We supposed that throughout the pathogenesis of HCC, not only does stiffness increase but the increased synthesis of YAP1 <italic>via</italic> miR-21-3p likely results in nuclear translocation and further facilitation of pre-miR-21-3p formation (<xref ref-type="fig" rid="f7">
<bold>Figure 7</bold>
</xref>). However, such possible positive feedback and the cascade amplification response brought about in HCC require further cell fractionation and <italic>in vivo</italic> confirmatory experiments.</p>
<fig id="f7" position="float">
<label>Figure 7</label>
<caption>
<p>Graph abstract HCC manifestation is typically preceded by hepatic fibrosis and cirrhosis. There are limited cures for patients suffering advanced liver cirrhosis and HCC. Dysfunction of the Hippo signaling and TGF-beta transduction pathways plays a vital role in the pathogenesis and course of this illness. YAP1 recruits SMAD7 to activated TGF-<italic>&#x3b2;</italic> receptor I (T<italic>&#x3b2;</italic>RI), hampering the formation of co-SMAD (SMAD2/3 and SMAD2/4) complexes. These SMAD complexes are thus unable to enter the nucleus to activate transcription of downstream effectors. SMAD7 serves as the negative regulator of the TGF-&#x3b2; signaling pathway. The Hippo signaling pathway is composed of a series of kinases including MST1/2, LATS1/2, and nuclear effector YAP1. Once the Hippo pathway is activated, LATS1/2 is phosphorylated by MST1/2. LATS1 is mainly involved in cell autophagy, DNA methylation and drug resistance. LATS2 phosphorylates YAP1, leading to its degradation. Overexpressed miR-21-3p directly silences SMAD7 expression by binding to its 3&#x2032;-UTR region, further impairing the linkage between SMAD7 and YAP1. The decreased stability of the SMAD7/YAP1 complex facilitates YAP1 translocation to the nucleus and results in the subsequent transcription of the downstream gene connective tissue growth factor (CTGF).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-642030-g007.tif"/>
</fig>
<p>In conclusion, our results underscored the oncogenic role of miR-21-3p in HCC. MiR-21-3p-SMAD7/YAP1 axis was identified to better understand the mechanisms of occurrence and development of liver cancer.</p>
</sec>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the local Research Ethics Committee at Zhongnan Hospital of Wuhan University (Approval No.2018078). The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by the Animal Care and Use Committee of Wuhan University following the Animal Experiment/Animal Biosafety Level-III Laboratory Guidelines.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>Methodology: YH, MY, and FW. Experiments: YH Bioinformatic analysis: YH, MY, and FW. Grammar Correction: CW, JieL, and JiaL. Sample collection: YH, CW, and JieL. Supervision: JF, JingL, QZ, LL, and YC. Funding: QZ and YC. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by research grants from the National Natural Science Foundation of China (No. 81670554); the Science and Technology Plan of Wuhan City (2020020601012208); the Natural Science Fund for Distinguished Young Scholars of Hubei Province (No. 2017CFA068) and the National Key R&amp;D Program of China (No. 2019YFC0121505).</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>
</body>
<back>
<sec id="s10" 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.2021.642030/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2021.642030/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SM1" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image_2.tif" id="SM2" mimetype="image/tiff"/>
<supplementary-material xlink:href="Table_1.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Craig</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>von Felden</surname> <given-names>J</given-names>
</name>
<name>
<surname>Garcia-Lezana</surname> <given-names>T</given-names>
</name>
<name>
<surname>Sarcognato</surname> <given-names>S</given-names>
</name>
<name>
<surname>Villanueva</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Tumour evolution in hepatocellular carcinoma</article-title>. <source>Nat Rev Gastroenterol Hepatol</source> (<year>2020</year>) <volume>17</volume>:<page-range>139&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41575-019-0229-4</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Hainaut</surname> <given-names>P</given-names>
</name>
<name>
<surname>Gores</surname> <given-names>GJ</given-names>
</name>
<name>
<surname>Amadou</surname> <given-names>A</given-names>
</name>
<name>
<surname>Plymoth</surname> <given-names>A</given-names>
</name>
<name>
<surname>Roberts</surname> <given-names>LR</given-names>
</name>
</person-group>. <article-title>A global view of hepatocellular carcinoma: trends, risk, prevention and management</article-title>. <source>Nat Rev Gastro Hepat</source> (<year>2019</year>) <volume>16</volume>:<fpage>589</fpage>&#x2013;<lpage>604</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41575-019-0186-y</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Couri</surname> <given-names>T</given-names>
</name>
<name>
<surname>Pillai</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Goals and targets for personalized therapy for HCC</article-title>. <source>Hepatol Int</source> (<year>2019</year>) <volume>13</volume>:<page-range>125&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12072-018-9919-1</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kudo</surname> <given-names>M</given-names>
</name>
<name>
<surname>Finn</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Han</surname> <given-names>KH</given-names>
</name>
<name>
<surname>Ikeda</surname> <given-names>K</given-names>
</name>
<name>
<surname>Piscaglia</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial</article-title>. <source>Lancet</source> (<year>2018</year>) <volume>391</volume>:<page-range>1163&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(18)30207-1</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Klein</surname> <given-names>CA</given-names>
</name>
</person-group>. <article-title>Cancer progression and the invisible phase of metastatic colonization</article-title>. <source>Nat Rev Cancer</source> (<year>2020</year>) <volume>20</volume>:<page-range>681&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41568-020-00300-6</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tutar</surname> <given-names>L</given-names>
</name>
<name>
<surname>Tutar</surname> <given-names>E</given-names>
</name>
<name>
<surname>Tutar</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>MicroRNAs and cancer; an overview</article-title>. <source>Curr Pharm Biotechnol</source> (<year>2014</year>) <volume>15</volume>:<page-range>430&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2174/1389201015666140519095304</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>SB</given-names>
</name>
<name>
<surname>Gregory</surname> <given-names>RI</given-names>
</name>
</person-group>. <article-title>MicroRNA biogenesis pathways in cancer</article-title>. <source>Nat Rev Cancer</source> (<year>2015</year>) <volume>15</volume>:<page-range>321&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrc3932</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ju</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Mutant p53 increases exosome-mediated transfer of miR-21-3p and miR-769-3p to promote pulmonary metastasis</article-title>. <source>Chin J Cancer Res</source> (<year>2019</year>) <volume>31</volume>:<page-range>533&#x2013;46</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.21147/j.issn.1000-9604.2019.03.15</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gao</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Identification of Cancer Stem Cell Molecular Markers and Effects of hsa-miR-21-3p on Stemness in Esophageal Squamous Cell Carcinoma</article-title>. <source>Cancers (Basel)</source> (<year>2019</year>) <volume>11</volume>(<issue>4</issue>):<page-range>518</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers11040518</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lo</surname> <given-names>TF</given-names>
</name>
<name>
<surname>Tsai</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>ST</given-names>
</name>
</person-group>. <article-title>MicroRNA-21-3p, a berberine-induced miRNA, directly down-regulates human methionine adenosyltransferases 2A and 2B and inhibits hepatoma cell growth</article-title>. <source>PloS One</source> (<year>2013</year>) <volume>8</volume>(<issue>9</issue>):<fpage>e75628</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0075628</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hata</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>YG</given-names>
</name>
</person-group>. <article-title>TGF-beta Signaling from Receptors to Smads</article-title>. <source>Cold Spring Harb Perspect Biol</source> (<year>2016</year>) <volume>8</volume>:<fpage>a022061</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1101/cshperspect.a022061</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liao</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>X</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>X</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>XH</given-names>
</name>
<etal/>
</person-group>. <article-title>Smad7 Protein Interacts with Receptor-regulated Smads (R-Smads) to Inhibit Transforming Growth Factor-beta (TGF-beta)/Smad Signaling</article-title>. <source>J Biol Chem</source> (<year>2016</year>) <volume>291</volume>:<page-range>382&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1074/jbc.M115.694281</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Batlle</surname> <given-names>E</given-names>
</name>
<name>
<surname>Massague</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Transforming Growth Factor-beta Signaling in Immunity and Cancer</article-title>. <source>Immunity</source> (<year>2019</year>) <volume>50</volume>:<page-range>924&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.immuni.2019.03.024</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tong</surname> <given-names>L</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>T</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Proteasome-dependent degradation of Smad7 is critical for lung cancer metastasis</article-title>. <source>Cell Death Differ</source> (<year>2020</year>) <volume>27</volume>(<issue>6</issue>):<page-range>1795&#x2013;806</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41418-019-0459-6</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Weng</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>HERC3-Mediated SMAD7 Ubiquitination Degradation Promotes Autophagy-Induced EMT and Chemoresistance in Glioblastoma</article-title>. <source>Clin Cancer Res</source> (<year>2019</year>) <volume>25</volume>(<issue>12</issue>):<page-range>3602&#x2013;16</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-18-3791</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feng</surname> <given-names>T</given-names>
</name>
<name>
<surname>Dzieran</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Dropmann</surname> <given-names>A</given-names>
</name>
<name>
<surname>Maass</surname> <given-names>T</given-names>
</name>
<name>
<surname>Teufel</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Hepatocyte-specific Smad7 deletion accelerates DEN-induced HCC via activation of STAT3 signaling in mice</article-title>. <source>Oncogenesis</source> (<year>2017</year>) <volume>6</volume>:<fpage>e294</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/oncsis.2016.85</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chu</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Mok</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Go</surname> <given-names>MY</given-names>
</name>
<name>
<surname>Man</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Inhibitory role of Smad7 in hepatocarcinogenesis in mice and in vitro</article-title>. <source>J Pathol</source> (<year>2013</year>) <volume>230</volume>:<page-range>441&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/path.4206</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Raj</surname> <given-names>N</given-names>
</name>
<name>
<surname>Bam</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Reciprocal Crosstalk Between YAP1/Hippo Pathway and the p53 Family Proteins: Mechanisms and Outcomes in Cancer</article-title>. <source>Front Cell Dev Biol</source> (<year>2019</year>) <volume>7</volume>:<elocation-id>159</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcell.2019.00159</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tschaharganeh</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
<name>
<surname>Latzko</surname> <given-names>P</given-names>
</name>
<name>
<surname>Malz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gaida</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Felix</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Yes-associated protein up-regulates Jagged-1 and activates the Notch pathway in human hepatocellular carcinoma</article-title>. <source>Gastroenterology</source> (<year>2013</year>) <volume>144</volume>:<fpage>1530</fpage>&#x2013;<lpage>1542 e12</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2013.02.009</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>SIX4 promotes hepatocellular carcinoma metastasis through upregulating YAP1 and c-MET</article-title>. <source>Oncogene</source> (<year>2020</year>) <volume>39</volume>:<page-range>7279&#x2013;95</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41388-020-01500-y</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Fang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>K</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>lncRNA B4GALT1-AS1 promotes colon cancer cell stemness and migration by recruiting YAP to the nucleus and enhancing YAP transcriptional activity</article-title>. <source>J Cell Physiol</source> (<year>2019</year>) <volume>234</volume>:<page-range>18524&#x2013;34</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jcp.28489</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferrigno</surname> <given-names>O</given-names>
</name>
<name>
<surname>Lallemand</surname> <given-names>F</given-names>
</name>
<name>
<surname>Verrecchia</surname> <given-names>F</given-names>
</name>
<name>
<surname>L&#x2019;Hoste</surname> <given-names>S</given-names>
</name>
<name>
<surname>Camonis</surname> <given-names>J</given-names>
</name>
<name>
<surname>Atfi</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Yes-associated protein (YAP65) interacts with Smad7 and potentiates its inhibitory activity against TGF-beta/Smad signaling</article-title>. <source>Oncogene</source> (<year>2002</year>) <volume>21</volume>:<page-range>4879&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.onc.1205623</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>XX</given-names>
</name>
<name>
<surname>Chang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>FY</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>MY</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>QH</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA-375 targets AEG-1 in hepatocellular carcinoma and suppresses liver cancer cell growth in vitro and in vivo</article-title>. <source>Oncogene</source> (<year>2012</year>) <volume>31</volume>:<page-range>3357&#x2013;69</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/onc.2011.500</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Knodell</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Ishak</surname> <given-names>KG</given-names>
</name>
<name>
<surname>Black</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>TS</given-names>
</name>
<name>
<surname>Craig</surname> <given-names>R</given-names>
</name>
<name>
<surname>Kaplowitz</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Formulation and application of a numerical scoring system for assessing histological activity in asymptomatic chronic active hepatitis</article-title>. <source>Hepatology</source> (<year>1981</year>) <volume>1</volume>:<page-range>431&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/hep.1840010511</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>MiR-375 Impairs the Invasive Capabilities of Hepatoma Cells by Targeting HIF1alpha Under Hypoxia</article-title>. <source>Dig Dis Sci</source> (<year>2020</year>) <volume>66</volume>(<issue>2</issue>):<fpage>493</fpage>&#x2013;<lpage>502</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10620-020-06202-9</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>T</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lung</surname> <given-names>RWM</given-names>
</name>
<name>
<surname>Tong</surname> <given-names>JHM</given-names>
</name>
<etal/>
</person-group>. <article-title>miR-375 is involved in Hippo pathway by targeting YAP1/TEAD4-CTGF axis in gastric carcinogenesis</article-title>. <source>Cell Death Dis</source> (<year>2018</year>) <volume>9</volume>:<fpage>92</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41419-017-0134-0</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xie</surname> <given-names>K</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>H</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Methylation-associated silencing of microRNA-34b in hepatocellular carcinoma cancer</article-title>. <source>Gene</source> (<year>2014</year>) <volume>543</volume>:<page-range>101&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.gene.2014.03.059</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>C</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>H</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>miR-224 promotion of cell migration and invasion by targeting Homeobox D 10 gene in human hepatocellular carcinoma</article-title>. <source>J Gastroenterol Hepatol</source> (<year>2014</year>) <volume>29</volume>:<page-range>835&#x2013;42</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jgh.12429</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Calsina</surname> <given-names>B</given-names>
</name>
<name>
<surname>Castro-Vega</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Torres-Perez</surname> <given-names>R</given-names>
</name>
<name>
<surname>Inglada-Perez</surname> <given-names>L</given-names>
</name>
<name>
<surname>Curras-Freixes</surname> <given-names>M</given-names>
</name>
<name>
<surname>Roldan-Romero</surname> <given-names>JM</given-names>
</name>
<etal/>
</person-group>. <article-title>Integrative multi-omics analysis identifies a prognostic miRNA signature and a targetable miR-21-3p/TSC2/mTOR axis in metastatic pheochromocytoma/paraganglioma</article-title>. <source>Theranostics</source> (<year>2019</year>) <volume>9</volume>:<page-range>4946&#x2013;58</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7150/thno.35458</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moscetti</surname> <given-names>I</given-names>
</name>
<name>
<surname>Cannistraro</surname> <given-names>S</given-names>
</name>
<name>
<surname>Bizzarri</surname> <given-names>AR</given-names>
</name>
</person-group>. <article-title>Probing direct interaction of oncomiR-21-3p with the tumor suppressor p53 by fluorescence, FRET and atomic force spectroscopy</article-title>. <source>Arch Biochem Biophys</source> (<year>2019</year>) <volume>671</volume>:<fpage>35</fpage>&#x2013;<lpage>41</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.abb.2019.05.026</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Three-microRNA expression signature predicts survival in triple-negative breast cancer</article-title>. <source>Oncol Lett</source> (<year>2020</year>) <volume>19</volume>:<page-range>301&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3892/ol.2019.11118</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kanda</surname> <given-names>T</given-names>
</name>
<name>
<surname>Goto</surname> <given-names>T</given-names>
</name>
<name>
<surname>Hirotsu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Moriyama</surname> <given-names>M</given-names>
</name>
<name>
<surname>Omata</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Molecular Mechanisms Driving Progression of Liver Cirrhosis towards Hepatocellular Carcinoma in Chronic Hepatitis B and C Infections: A Review</article-title>. <source>Int J Mol Sci</source> (<year>2019</year>) <volume>20</volume>(<issue>6</issue>):<fpage>1358</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms20061358</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>El-Serag</surname> <given-names>HB</given-names>
</name>
</person-group>. <article-title>Hepatocellular carcinoma</article-title>. <source>N Engl J Med</source> (<year>2011</year>) <volume>365</volume>:<page-range>1118&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMra1001683</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>D</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>TGF-beta/SMAD Pathway and Its Regulation in Hepatic Fibrosis</article-title>. <source>J Histochem Cytochem</source> (<year>2016</year>) <volume>64</volume>:<page-range>157&#x2013;67</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1369/0022155415627681</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>YZ</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>XJ</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>HJ</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>SJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Magnesium isoglycyrrhizinate ameliorates high fructose-induced liver fibrosis in rat by increasing miR-375-3p to suppress JAK2/STAT3 pathway and TGF-beta1/Smad signaling</article-title>. <source>Acta Pharmacol Sin</source> (<year>2019</year>) <volume>40</volume>:<page-range>879&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41401-018-0194-4</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>B</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>H</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>R</given-names>
</name>
<name>
<surname>Mu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Zyxin-Siah2-Lats2 axis mediates cooperation between Hippo and TGF-beta signalling pathways</article-title>. <source>Nat Commun</source> (<year>2016</year>) <volume>7</volume>:<elocation-id>11123</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ncomms11123</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mullen</surname> <given-names>AC</given-names>
</name>
</person-group>. <article-title>Hippo tips the TGF-beta scale in favor of pluripotency</article-title>. <source>Cell Stem Cell</source> (<year>2014</year>) <volume>14</volume>:<fpage>6</fpage>&#x2013;<lpage>8</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.stem.2013.12.009</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kleeff</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Giese</surname> <given-names>T</given-names>
</name>
<name>
<surname>Esposito</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Yes-associated protein (YAP65) in relation to Smad7 expression in human pancreatic ductal adenocarcinoma</article-title>. <source>Int J Mol Med</source> (<year>2006</year>) <volume>17</volume>:<page-range>761&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.3892/ijmm.17.5.761</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>L</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>Tanshinone IIA mediates SMAD7-YAP interaction to inhibit liver cancer growth by inactivating the transforming growth factor beta signaling pathway</article-title>. <source>Aging (Albany NY)</source> (<year>2019</year>) <volume>11</volume>:<page-range>9719&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/aging.102420</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Analysis of the role of the Hippo pathway in cancer</article-title>. <source>J Transl Med</source> (<year>2019</year>) <volume>17</volume>:<fpage>116</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12967-019-1869-4</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zeng</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Guan</surname> <given-names>L</given-names>
</name>
<name>
<surname>An</surname> <given-names>P</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>S</given-names>
</name>
<name>
<surname>O&#x2019;Brien</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Winkler</surname> <given-names>CA</given-names>
</name>
<etal/>
</person-group>. <article-title>A population-based study to investigate host genetic factors associated with hepatitis B infection and pathogenesis in the Chinese population</article-title>. <source>BMC Infect Dis</source> (<year>2008</year>) <volume>8</volume>:<elocation-id>1</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1471-2334-8-1</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Masuzaki</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tateishi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Yoshida</surname> <given-names>H</given-names>
</name>
<name>
<surname>Sato</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ohki</surname> <given-names>T</given-names>
</name>
<name>
<surname>Goto</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Assessing liver tumor stiffness by transient elastography</article-title>. <source>Hepatol Int</source> (<year>2007</year>) <volume>1</volume>:<page-range>394&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12072-007-9012-7</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Burnette</surname> <given-names>FS</given-names>
</name>
<name>
<surname>Flick</surname> <given-names>GJ</given-names>
<suffix>Jr.</suffix>
</name>
</person-group> <article-title>Comparison of Three Assays for Peroxidase in the Blue Crab ( Callinectes sapidus )</article-title>. <source>J Food Prot</source> (<year>1977</year>) <volume>40</volume>:<page-range>854&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4315/0362-028X-40.12.854</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Halder</surname> <given-names>G</given-names>
</name>
<name>
<surname>Dupont</surname> <given-names>S</given-names>
</name>
<name>
<surname>Piccolo</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Transduction of mechanical and cytoskeletal cues by YAP and TAZ</article-title>. <source>Nat Rev Mol Cell Biol</source> (<year>2012</year>) <volume>13</volume>:<fpage>591</fpage>&#x2013;<lpage>600</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrm3416</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tse</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Engler</surname> <given-names>AJ</given-names>
</name>
</person-group>. <article-title>Preparation of hydrogel substrates with tunable mechanical properties</article-title>. <source>Curr Protoc Cell Biol Chapter</source> (<year>2010</year>) <volume>10</volume>:<fpage>Unit 10 16</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/0471143030.cb1016s47</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>