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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2019.4680</article-id>
<article-id pub-id-type="publisher-id">ijo-54-03-0845</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>miR-3664-5P suppresses the proliferation and metastasis of gastric cancer by attenuating the NF-&#x003BA;B signaling pathway through targeting MTDH</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jiao</surname><given-names>Yuwen</given-names></name><xref rid="fn1-ijo-54-03-0845" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Haojun</given-names></name><xref rid="fn1-ijo-54-03-0845" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Qian</surname><given-names>Jun</given-names></name><xref rid="fn1-ijo-54-03-0845" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Gong</surname><given-names>Yu</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Hanyang</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Siyuan</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>cao</surname><given-names>Liang</given-names></name></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>tang</surname><given-names>Liming</given-names></name><xref ref-type="corresp" rid="c1-ijo-54-03-0845"/></contrib>
<aff id="af1-ijo-54-03-0845">Department of Gastrointestinal Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213000, P.R. China</aff></contrib-group>
<author-notes>
<corresp id="c1-ijo-54-03-0845">Correspondence to: Professor Liming Tang, Department of Gastrointestinal Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 68 Gehu Middle Road, Changzhou, Jiangsu 213000, P.R. China, E-mail: <email>drtangliming@163.com</email></corresp><fn id="fn1-ijo-54-03-0845" fn-type="equal">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>03</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>08</day>
<month>01</month>
<year>2019</year></pub-date>
<volume>54</volume>
<issue>3</issue>
<fpage>845</fpage>
<lpage>858</lpage>
<history>
<date date-type="received">
<day>13</day>
<month>07</month>
<year>2018</year></date>
<date date-type="accepted">
<day>16</day>
<month>11</month>
<year>2018</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; Jiao et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license></permissions>
<abstract>
<p>Gastric cancer (GC) is one of the most common and fatal types of cancers worldwide and the specific mechanism has not been completely elucidated. microRNA (miR)-3664-5P has rarely been studied and the aim of the present study was to assess an association between miR-3664-5P and GC. Differences in miR-3664-5P expression in 100 GC (0.1846&#x000B1;0.08276) and paired normal tissues (0.4382&#x000B1;0.1595) were detected using reverse transcription-quantitative polymerase chain reaction assays (P&#x0003C;0.001). 5-Ethynyl-2-deoxyuridine, Cell Counting Kit-8, transwell and flow cytometry assays were performed <italic>in vitro</italic> and the results were further verified using a mouse xenotransplantation and a lung metastasis model <italic>in vivo</italic>. miR-3664-5P was significantly downregulated in GC tissues when compared with normal tissues and positively associated with the prognosis of patients with GC (P&#x0003C;0.001). Overexpression of miR-3664-5P suppressed and miR-3664-5P knockdown promoted the proliferation and metastasis of GC cells <italic>in vitro</italic> and <italic>in vivo</italic>. Following the application of bioinformatic algorithms and luciferase reporter assays, metadherin (MTDH) was confirmed as the target gene of miR-3664-5P. miR-3664-5P reduced MTDH expression and downregulated the nuclear factor (NF)-&#x003BA;B signaling pathway. Rescue experiments demonstrated that suppression of MTDH restored the effect of miR-3664-5P inhibitors on GC cell lines. The results suggested that miR-3664-5P suppressed the proliferation and metastasis of GC cells by attenuating the NF-&#x003BA;B signaling pathway via MTDH targeting. Consequently, miR-3664-5P may have potential to be an independent prognostic factor and biomarker in GC.</p></abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>microRNA-3664-5P</kwd>
<kwd>metadherin</kwd>
<kwd>nuclear factor-&#x003BA;B</kwd>
<kwd>biomarker</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Due to the development of modern healthcare and changes in dietary habits, gastric cancer (GC) is the fifth most common lethal neoplasm (<xref rid="b1-ijo-54-03-0845" ref-type="bibr">1</xref>), but it remains the third leading cause of cancer-associated mortalities worldwide, following lung and liver cancer (<xref rid="b1-ijo-54-03-0845" ref-type="bibr">1</xref>,<xref rid="b2-ijo-54-03-0845" ref-type="bibr">2</xref>). Statistically, as an aggressive disease, ~950,000 new cases are diagnosed each year and &#x0003E;720,000 cases of mortality have been reported for GC in Europe (<xref rid="b3-ijo-54-03-0845" ref-type="bibr">3</xref>). In China, patients with GC account for ~42% of GC cases worldwide. Despite improvements in surgical and oncological treatments, the 5-year survival rate for patients with GC remains low, reported as &#x0003C;30% in developed countries (<xref rid="b2-ijo-54-03-0845" ref-type="bibr">2</xref>). The mechanisms leading to the occurrence and development of GC remain to be investigated.</p>
<p>MicroRNAs (miRNA/miRs) are short, ~22 nucleotides-long, non-coding RNA molecules, that negatively regulate transcription via sequence-specific interactions with the 3&#x02032;-untranslated regions (UTRs) of target genes (<xref rid="b4-ijo-54-03-0845" ref-type="bibr">4</xref>,<xref rid="b5-ijo-54-03-0845" ref-type="bibr">5</xref>). Various studies have indicated that miRNAs serve a critical role in tumorigenesis and development by targeting different genes (<xref rid="b5-ijo-54-03-0845" ref-type="bibr">5</xref>-<xref rid="b9-ijo-54-03-0845" ref-type="bibr">9</xref>) and many are involved in controlling GC-associated cellular processes, including proliferation, migration, differentiation, apoptosis and cell cycle progression (<xref rid="b5-ijo-54-03-0845" ref-type="bibr">5</xref>,<xref rid="b10-ijo-54-03-0845" ref-type="bibr">10</xref>-<xref rid="b13-ijo-54-03-0845" ref-type="bibr">13</xref>). As comprehensive care strategies for GC are improving, but still remain unsatisfactory (<xref rid="b14-ijo-54-03-0845" ref-type="bibr">14</xref>,<xref rid="b15-ijo-54-03-0845" ref-type="bibr">15</xref>), there is an urgency to determine and understand the molecular mechanisms underlying GC progression. Thus, in the present study, the role miRNA may serve in the development of GC was explored.</p>
<p>miR-3664-5P is a novel miRNA and its function in tumors, particularly GC, remains to be investigated. According to the TargetScan database (<ext-link xlink:href="http://mirdb.org/cgi-bin/search.cgi" ext-link-type="uri">mirdb.org/cgi-bin/search.cgi</ext-link>), miR-3664-5P matches with the mRNA sequence of metadherin (MTDH) without mismatch, thus ranking first to target MTDH. MTDH, which is also known as astrocyte elevated gene-1, 3D3 or LYRIC, is a transmembrane protein that is induced in primary human fetal astrocytes infected with human immunodeficiency virus (HIV)-1 or treated with recombinant HIV-1 envelope glycoprotein (<xref rid="b16-ijo-54-03-0845" ref-type="bibr">16</xref>). MTDH has been recognized as an oncogene in various cancers, including glioma, melanoma and neuroblastoma, and in carcinomas of the breast, prostate, liver and esophagus, for its significant role in promoting the proliferation, angiogenesis, invasion, metastasis and chemoresistance of cancer cells via activation of the nuclear factor (NF)-&#x003BA;B, phosphoinositide 3-kinase/protein kinase B, mitogen-activated protein kinase and Wnt signaling pathways (<xref rid="b17-ijo-54-03-0845" ref-type="bibr">17</xref>&#x02013;<xref rid="b24-ijo-54-03-0845" ref-type="bibr">24</xref>). In GC, MTDH was demonstrated to promote progression using a positive feedback Toll-like receptor 4/NF-&#x003BA;B signaling-associated mechanism, which is widely recognized to serve a crucial role in inflammation and carcinogenesis (<xref rid="b23-ijo-54-03-0845" ref-type="bibr">23</xref>,<xref rid="b25-ijo-54-03-0845" ref-type="bibr">25</xref>). Therefore, the aim of the present study was to determine the role of miR-3664-5P in GC, and investigated whether its function was associated with targeting MTDH and regulating the NF-&#x003BA;B signaling pathway.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Patients and tumor tissues</title>
<p>In the present study, 100 paired fresh GC and adjacent normal tissues were collected from patients with GC (27-87 years old), who underwent resection of GC without local or systemic treatment prior to operation at the Department of Gastrointestinal Surgery in Changzhou No. 2 People's Hospital (Jiangsu, China) between July 2010 and October 2012. All patients, consisting of 71 males and 29 females, were aged between 27 and 87 years old (average age, 61.9 years). Patients provided written informed consent and the experimental procedures were approved by the Ethics Committee of the Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital (approval no. 2010-SR-077.A1). All specimens were confirmed by clinical, radiographic and histological examination for GC. Clinicopathological data such as age and gender, as well as lymph node metastasis status, clinical stage, differentiation, tumor size and T classification were obtained by reviewing the patients' pathology records. Clinical stage was determined according to the American Joint Committee on Cancer staging criteria (<xref rid="b26-ijo-54-03-0845" ref-type="bibr">26</xref>).</p></sec>
<sec>
<title>Cell lines</title>
<p>All GC cell lines (BGC823, MGC803, SGC7901, AGS and MKN45) and normal epithelial gastric cells (GES-1) were obtained from Nanjing KeyGen Biotech Co., Ltd. (Nanjing, China). GC cell lines were cultured to 70-80% confluence for subsequent experiments in RPMI-1640 (Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) with 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) and 80 U/ml penicillin at 37&#x000B0;C in humidified air containing 5% CO<sub>2</sub>. To generate higher transfection efficiency and better results <italic>in vitro</italic> and <italic>in vivo</italic>, MGC803 and MKN45 cells were chosen to construct miR-3664-5P overexpression- and knockdown-cell lines, respectively, due to the highest miR-3664-5P expression observed in MKN45 cells and the lowest miR-3664-5P expression observed in MGC803 cells.</p></sec>
<sec>
<title>Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)</title>
<p>Total RNA from tissues and cells was isolated using TRIzol reagent (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) and were reverse transcribed using the PrimeScript RT Master mix (Takara Biotechnology Co., Ltd., Dalian, China) with the following temperature protocol: 37&#x000B0;C for 15 min and 85&#x000B0;C for 5 sec, then held at 4&#x000B0;C. Expression levels of miR-3664-5P and MTDH were determined via qPCR with the SYBR Premix Ex Taq (Takara Biotechnology Co., Ltd.) on the ABI Prism 7900HT (Applied Biosystems; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. The thermocycling conditions were as follows: Hot-start DNA polymerase activation at 95&#x000B0;C for 10 min, followed by 40 cycles of 95&#x000B0;C for 15 sec and 60&#x000B0;C for 1 min, and then one cycle of melt curve analysis at 95&#x000B0;C for 15 sec, 60&#x000B0;C for 1 min and 95&#x000B0;C for 15 sec. Primer sequences for qPCR were as follows: miR-3664-5P, forward, 5&#x02032;-GCCGAGAACTCTGTC TTCAC-3&#x02032; and reverse, 5&#x02032;-CTCAACTGGTGTCGTGGA-3&#x02032;; MTDH, forward, 5&#x02032;-AAATGGGCGGACTGTTGAAGT-3&#x02032; and reverse, 5&#x02032;-CTGTTTTGCACTGCTTTAGCAT-3&#x02032;; GAPDH, forward, 5&#x02032;-GGAGCGAGATCCCTCCAAAAT-3&#x02032; and reverse, 5&#x02032;-GGCTGTTGTCATACTTCTCATGG-3&#x02032;; interleukin (IL-8), forward, 5&#x02032;-GTGCAGAGGGTTGTG GAGAAG TTT-3&#x02032; and reverse, 5&#x02032;-TCACTGGCATCTTCACTGATT CTTG-3&#x02032;; matrix metalloproteinase 9 (MMP9), forward, 5&#x02032;-TG TACCGCTATGGTTACACTCG-3&#x02032; and reverse, 5&#x02032;-GGCAGG GACAGTTGCTTCT-3&#x02032;; vascular endothelial growth factor (VEGF), forward, 5&#x02032;-TGCATTCACATTTGTTGTGC-3&#x02032; and reverse, 5&#x02032;-AGACCCTGGTGGACATCTTC-3&#x02032;. The expression of miR-3664-5P, MTDH, IL-8, MMP9 and VFGF were normalized to GAPDH and the expression levels were calculated using 2<sup>&#x02212;&#x00394;&#x00394;Cq</sup> methods (<xref rid="b27-ijo-54-03-0845" ref-type="bibr">27</xref>).</p></sec>
<sec>
<title>Western blot assays</title>
<p>Radioimmunoprecipitation Assay buffer containing phenylmethanesulfonyl fluoride (Beyotime Institute of Biotechnology, Haimen, China) was used to extract proteins from cells and tissues according to the manufacturer's protocol. The protein concentration was determined using a bicinchoninic acid protein assay kit (Beyotime Institute of Biotechnology). Proteins (40 <italic>&#x000B5;</italic>g) were then separated by 10% SDS-PAGE and transferred onto polyvinylidene fluoride membranes (EMD Millipore, Billerica, MA, USA). Then, the membranes were blocked in 5% non-fat milk for 2 h at room temperature and incubated with specific primary antibodies at 4&#x000B0;C overnight. Following washing with 0.02 mmol/l TBST (0.1% Tween; 3&#x000D7;10 min), the membranes were then incubated with secondary antibodies (anti-rabbit or anti-mouse) at room temperature for 2 h. The immunoreactive protein bands were visualized using Enhance Chemiluminescence Plus (EMD Millipore) with a bio-imaging system. The primary and secondary antibodies employed in the present study were as follows: MTDH (1:1,000; cat. no. ab45338; Abcam, Cambridge, UK), NF-&#x003BA;B inhibitor &#x003B1; (I&#x003BA;B&#x003B1;; 1:1,000; cat. no. 4814; Cell Signaling Technology, Inc., Danvers, MA, USA), p65 (1:1,000; cat. no. 8242; Cell Signaling Technology, Inc.), phosphorylated (p)-p65 (1:2,000; cat. no. 3033; Cell Signaling Technology, Inc.), GAPDH (1:1,000; cat. no. 5174; Cell Signaling Technology, Inc.), anti-rabbit horseradish peroxidase (HRP)-conjugated secondary antibodies (1:5,000; cat. no. 7074; Cell Signaling Technology, Inc.) and anti-mouse HRP-conjugated secondary antibodies (1:5,000; cat. no. 7076; Cell Signaling Technology, Inc.). ImageJ software 1.47 (National Institutes of Health, Bethesda, MD, USA) was applied to quantify the integrated density of the bands.</p></sec>
<sec>
<title>Knockdown and overexpression of miRNA</title>
<p>miR-3664-5P mimics (5&#x02032;-AACUCUGUCUUCACUCAUGAGU-3&#x02032;) and its negative control (NC) (5&#x02032;-UUGUACUACACAAAAGUA CUG-3&#x02032;), and miR-3664-5P inhibitor (Sponge sequence: 5&#x02032;-ACUCAUGAGUGAAGACAGAGUU-3&#x02032;) and its NC (5&#x02032;-UU CUCCGAACGUGUCACGUAA-3&#x02032;) were synthesized by Nanjing KeyGen Biotech Co., Ltd. The miRNA mimics (50 nM) or inhibitor (100 nM), and their NCs (50 and 100 nM, respectively), were transfected into GC cell lines (4&#x000D7;10<sup>5</sup>/well) using Lipofectamine<sup>&#x000AE;</sup> 3000 (5 <italic>&#x000B5;</italic>l/well; Invitrogen; Thermo Fisher Scientific, Inc.). Cells were used for subsequent experiments at 48 h post-transfection.</p></sec>
<sec>
<title>Knockdown of MTDH</title>
<p>Small interfering (si)-RNA targeting MTDH (5&#x02032;-AGCCGUAAUCAACCCUAUAUC-3&#x02032;) and a NC sequence (5&#x02032;-UUCUCCGAACGUGUCACGUAA-3&#x02032;) were obtained from Shanghai GenePharma Co., Ltd. (Shanghai, China). siRNAs (50 nM) were transfected into cells (4&#x000D7;10<sup>5</sup>/well) in 6-well plates using Lipofectamine<sup>&#x000AE;</sup> 3000 (5 <italic>&#x000B5;</italic>l/well; Invitrogen; Thermo Fisher Scientific, Inc.). Cells were used for subsequent experiments at 48 h post-transfection.</p></sec>
<sec>
<title>Cell viability assay</title>
<p>To determine the effect of miR-3664-5P on the proliferation of GC cells (MKN45 and MGC803), a Cell Counting Kit-8 (CCK-8) kit (Dojindo Molecular Technologies, Inc., Kumamoto, Japan) and a Cell-Light 5-Ethynyl-2&#x02032;-deoxyuridine (EdU) Apollo567 <italic>In vitro</italic> kit (Guangzhou RiboBio Co., Ltd., Guangzhou, China) were utilized. For CCK-8 detection, 2&#x000D7;10<sup>3</sup> cells/well were cultured in 96-well plates, each well containing 100 <italic>&#x000B5;</italic>l RPMI-1640 (Gibco; Thermo Fisher Scientific, Inc.) with 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) and 80 U/ml penicillin. Following 24, 48, 72 and 96 h, 10 <italic>&#x000B5;</italic>l CCK-8 assay reagent was added to each well mixed with 90 <italic>&#x000B5;</italic>l serum-free medium. The absorbance was then measured 2 h later using a microplate reader at 450 nm, with 630 nm as reference wavelength. For the EdU assay, cells (2&#x000D7;10<sup>5</sup>) were seeded into Glass Bottom Cell Culture Dishes (Wuxi Nest Biotechnology, Co., Ltd., Wuxi, China), then the cells were treated according to manufacturer's instructions. Finally, images were captured under a laser confocal scanning microscope (Carl Zeiss AG, Oberkochen, Germany).</p></sec>
<sec>
<title>Plate colony formation assay</title>
<p>Cells (1,000/well) were cultured in 6-well plates to investigate the effect of miR-3664-5P on the efficiency of colony formation. Following 7 days, each well was washed with PBS three times at room temperature. The cells were then fixed using ethyl alcohol for 30 sec and stained for 20 min at room temperature using crystal violet dye. Following washing with PBS, colonies (&#x02265;50 cells/colony) in each well were manually counted and images were captured using a digital camera (Canon DS126211; Canon, Inc., Tokyo, Japan).</p></sec>
<sec>
<title>Transwell assay</title>
<p>Cell migration and invasion were analyzed in 24-well plates with sterile polycarbonate chambers (8-<italic>&#x000B5;</italic>m filters; BD Biosciences, Franklin Lakes, NJ, USA) with or without Matrigel coating. Cells (2&#x000D7;10<sup>4</sup>) were cultured in 100 <italic>&#x000B5;</italic>l serum-free RPMI-1640 in the upper chamber and 600 <italic>&#x000B5;</italic>l RPMI-1640 plus 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) in the lower chamber. Following 24 h, the lower chamber was washed twice with PBS and stained with crystal violet dye for 20 min. The chamber was then washed again with PBS three times, and a cotton bud was used to remove cells and medium from the upper chambers. The migrated and invaded cells in the lower chambers were observed under a light microscope (NIKON ECLIPSE TI-SR; Nikon Corporation, Tokyo, Japan; magnification, x200).</p></sec>
<sec>
<title>Flow cytometry analysis of cell cycle and apoptosis</title>
<p>Cell cycle distribution was determined with a Cell Cycle Assay kit (Vazyme, Piscataway, NJ, USA) according to the manufacturer's instructions. Cells (6&#x000D7;10<sup>5</sup>) were cultured in 6-well plates and treated with 50 <italic>&#x000B5;</italic>M H<sub>2</sub>O<sub>2</sub> for 2 h at 37&#x000B0;C to induce apoptosis and were then analyzed using an Annexin V-fluorescein isothiocyanate/propidium iodide Apoptosis Detection kit (Vazyme). Cell cycle distribution and the levels of apoptosis were analyzed using a flow cytometer equipped with BD FACSDiva Software 6.0 (BD Biosciences).</p></sec>
<sec>
<title>Animals and subcutaneous tumor growth assays</title>
<p>A total of 20 male BALB/c nude mice (age, 4-8 weeks; 13-15 g) were purchased from the Laboratory Animal Center of Yangzhou University (Yangzhou, China) and kept under specific pathogen-free conditions. All experiments were approved by Animal Ethics Committee of Nanjing Medical University (Nanjing, China). Mice were maintained at room temperature (20-26&#x000B0;C) with a humidity level of 50-60% and a 12-h light/dark cycle, and were bred under specific pathogen-free conditions in accordance with the institutional animal care and use committee regulations. Mice received 5 g food and 100 ml water per 100 g body weight per day. MGC803 cells (1&#x000D7;10<sup>7</sup>) transfected with the miR-3664-5P overexpression lentivirus (left groin) and NC (right groin) were suspended in 100 <italic>&#x000B5;</italic>l PBS and injected subcutaneously into nude mice. The tumor sizes were measured every five days using micrometer calipers, and tumor volumes were calculated as follows: Tumor volume = (width<sup>2</sup> &#x000D7; length)/2. Following 30 days, the mice were sacrificed by carbon dioxide inhalation (air displacement rate: 20%/min; Yuyan Instruments Company, Shanghai, China). All animal experiments were performed in compliance with the relevant ethical regulations per an approved Institutional Animal Care and Use Committee protocol, including a tumor size limit of 2.0 cm in any dimension. The maximum tumor volume observed in the mice was 1.0285 cm<sup>3</sup> &#x0005B;(1.1<sup>2</sup> &#x000D7; 1.7)/2&#x0005D;. The maximum observed combined diameter in the cases where multiple tumors occurred was 1.9 cm.</p></sec>
<sec>
<title>Lung metastasis model</title>
<p>A single-cell suspension was prepared with cells stably overexpressing miR-3664-5P or NC lentivirus, suspended in 200 <italic>&#x000B5;</italic>l PBS and filtered through a sterile 70-<italic>&#x000B5;</italic>m nylon mesh filter (BD Biosciences). Mice were separately injected with MGC803 cells (5&#x000D7;10<sup>6</sup>) with or without miR-3664-5P overexpression via the tail vein to develop peripheral intravascular-implanted models (10 mice/group). Mice were sacrificed 5 weeks later and tumor metastases in the lung were examined. Hematoxylin and eosin staining was used to evaluate the number of tumors in lung tissues. Briefly, lung tissues were fixed in 10% formalin at room temperature for 24 h, dehydrated with different concentrations of alcohol (70, 85, 95 and 100%) and xylene, embedded in paraffin and sliced into 4-<italic>&#x000B5;</italic>m sections. Following deparaffinization in xylene and rehydration in different concentrations of alcohol (100, 95, 85 and 70%) and distilled water, sections were stained with hematoxylin for 5 min and eosin for 2 min at room temperature, dehydrated with different concentrations of alcohol (70, 85, 95 and 100%) and xylene, and covered with a coverslip with mounting medium (Sangon Biotech Co., Ltd., Shanghai, China). The sections were viewed and images were captured under a light microscope (NIKON ECLIPSE TI-SR; Nikon Corporation; magnification, x200).</p></sec>
<sec>
<title>Immunohistochemistry (IHC)</title>
<p>For IHC, the UltraSensitive&#x02122; SP (Mouse/Rabbit) IHC kit (Fuzhou Maixin Biotech Co., Ltd., Fuzhou, China) was used with the streptavidin-biotin amplification method. Briefly, human gastric cancer, paired adjacent normal and mice subcutaneous tumor tissues were fixed in 10% formalin at room temperature for 24 h, dehydrated with different concentrations of alcohol (70, 85, 95 and 100%) and xylene, embedded in paraffin and sliced into 4-<italic>&#x000B5;</italic>m sections. Following deparaffinization in xylene and rehydration in different concentrations of alcohol (100, 95, 85 and 70%) and distilled water, sections were blocked with 0.3% hydrogen peroxide and incubated with 0.03 M citrate buffer (pH 6.0) in a pressure cooker at 121&#x000B0;C. Nonspecific tissue reactions were blocked using 10% bovine serum (Servicebio, Woburn, MA, USA) for 30 min at room temperature and sections were incubated with the anti-MTDH (LYRIC) primary antibody (1:300; cat. no. ab45338; Abcam) overnight at 4&#x000B0;C, followed by incubation with horseradish peroxidase-conjugated secondary antibody (1:1,000; polyclonal, cat. no. ab6721; Abcam) for 15 min for at room temperature. Sections were then visualized using 3,3&#x02032;-diaminobenzidine solution (Fuzhou Maixin Biotech Co., Ltd.) for 1 min at room temperature. Following dehydration, transparency and sealing, the sections were viewed and images were captured under a light microscope (NIKON ECLIPSE TI-SR; Nikon Corporation; magnification, x200).</p></sec>
<sec>
<title>Bioinformatics analysis and Luciferase activity reporter assay</title>
<p>Target genes of miR-3664-5P were predicted using the TargetScan database (<ext-link xlink:href="http://www.targetscan.org" ext-link-type="uri">www.targetscan.org</ext-link>; release no. 7.2) and miRDB database (<ext-link xlink:href="http://www.mirdb.org" ext-link-type="uri">www.mirdb.org</ext-link>) by searching for the presence of conserved orthologous 3&#x02032;-UTRs of humans that matched the seed region of miR-2664-5P (<xref rid="b28-ijo-54-03-0845" ref-type="bibr">28</xref>,<xref rid="b29-ijo-54-03-0845" ref-type="bibr">29</xref>). The luciferase reporter assay was carried out using pDL-reporter vectors (Guangzhou RiboBio Co.) containing the wild-type (WT) or mutant (Mut) MTDH 3&#x02032;-UTR sequences. Cells (1&#x000D7;10<sup>5</sup>/well) in a 24-well plate were cotransfected with miR-3664-5P mimics/inhibitors or the corresponding controls along with the WT/Mut MTDH 3&#x02032;-UTR vectors using Lipofectamine<sup>&#x000AE;</sup> 3000 (1 <italic>&#x000B5;</italic>l/well; Invitrogen; Thermo Fisher Scientific, Inc.). The luciferase activity was measured using a dual-luciferase assay kit (Beyotime Institute of Biotechnology) according to the manufacturer's instructions at 48 h post-transfection; luciferase activities were normalized to Renilla luciferase activities as the internal standard of transfection efficiency.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Patients were divided into low and high miR-3664-5P expression groups according to the median RT-qPCR results. Correlations between miR-3664-5P expression and various clinicopathological parameters were analyzed by &#x003C7;<sup>2</sup> test. Student's t-test was applied to evaluate the significance between two samples. The expression levels of miR-3664-5P and MTDH in tumor and normal tissues were analyzed via paired T tests, while the tumor weight as well as the number of metastasis lesions <italic>in vivo</italic> were analyzed using unpaired T test. One-way analysis of variance and least-significant difference post hoc tests were used to compare datasets containing multiple groups. The log rank test was employed in the analysis of Kaplan-Meier curves. Clinical characteristics that exhibited significant associations with survival in univariate analyses (P&#x0003C;0.05) were entered into multivariate analyses, performed using the Cox proportional hazard model. Receiver operating characteristic (ROC) curve analysis was used to detect the diagnostic efficiency of miR-3664-5P in GC. The area under the curve was calculated, and the optimum sensitivity and specificity were determined using the Youden index. All statistical analyses were conducted with SPSS 17.0 (SPSS, Inc., Chicago, IL, USA) and GraphPad Prism 5 (GraphPad Software, Inc., La Jolla, CA, USA). The results of the <italic>in vitro</italic> experiments were presented as the mean &#x000B1; standard error of the mean from three independent experiments, while data obtained from the <italic>in vitro</italic> experiments were presented as the mean &#x000B1; standard deviation. P&#x0003C;0.05 was considered to indicate a statistically significant difference.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>miR-3664-5P is significantly downregulated in GC tissues and cell lines</title>
<p>To help understand the role of miR-3664-5P in GC, RT-qPCR was performed in 100 GC and adjacent normal tissues, which demonstrated that when compared with the normal tissues, miR-3664-5P expression was significantly downregulated in GC tissues (P&#x0003C;0.001; <xref rid="f1-ijo-54-03-0845" ref-type="fig">Fig. 1A</xref>). Similar results were observed in the GC cell lines when compared with the normal gastric epithelial cell line GES-1; miR-3664-5P expression was suppressed in the BGC823, MGC803, SGC7901, AGS and MKN45 GC cell lines (P&#x0003C;0.001; <xref rid="f1-ijo-54-03-0845" ref-type="fig">Fig. 1B</xref>).</p></sec>
<sec>
<title>High levels of miR-3664-5P are associated with favorable prognosis in patients with GC</title>
<p>To further investigate the clinical relevance of miR-3664-5P and its prognostic value in GC, patients were divided into high and low miR-3664-5P expression groups according to the median expression level as determined by RT-qPCR. Expression of miR-3664-5P was correlated with differentiation (P=0.016) and tumor size (P=0.016; <xref rid="tI-ijo-54-03-0845" ref-type="table">Table I</xref>). However, no significant association was identified when comparing sex, age, clinical stage, lymph node metastasis and T classification. In addition, patients with high miR-3664-5P expression had a higher probability of a better overall (P&#x0003C;0.001) and cancer-specific prognosis (P&#x0003C;0.001) compared with the low miR-3664-5P expression group (<xref rid="f1-ijo-54-03-0845" ref-type="fig">Fig. 1C</xref>). Cox proportional hazards regression analyses suggested that miR-3664-5P expression was an independent prognostic predictor for overall survival &#x0005B;hazard ratio (HR)=0.492; P=0.029&#x0005D; and cancer specific survival (HR=0.038; P=0.01; <xref rid="tII-ijo-54-03-0845" ref-type="table">Tables II</xref> and <xref rid="tIII-ijo-54-03-0845" ref-type="table">III</xref>). ROC curve analysis was performed to investigate the effectiveness of miR-3664-5P for GC prediction. Serum samples of GC patients collected prior to resections of GC (n=60) and control serum samples collected from people undergoing physical examinations (n=40) were utilized. The expression of miR-3664-5P in serum was detected by RT-qPCR. The results indicated that miR-3664-5P may be an effective predictor for GC diagnosis with a sensitivity of 0.923 and a specificity of 0.694 (<xref rid="f1-ijo-54-03-0845" ref-type="fig">Fig. 1D</xref>). These results suggested that miR-3664-5P may serve a critical role in GC development, and serve as a biomarker for GC diagnosis and prognosis.</p></sec>
<sec>
<title>miR-3664-5P inhibits GC cell proliferation, migration and invasion in vitro</title>
<p>MGC803 and MKN45 cells were chosen to construct miR-3664-5P overexpression- and knockdown-cell lines, respectively, due to their relatively low and high miR-3664-5P expression. The miR-3664-5P inhibitors and mimics were transfected into MGC803 and MKN45 cells in order to establish miR-3664-5P overexpression and knockdown GC cell lines. The miR-3664-5P overexpression cell line for <italic>in vivo</italic> experiments was constructed by transfecting a lentivirus-plasmid into MGC803 cells to induce miR-3664-5P overexpression. The transfection efficiency was confirmed by RT-qPCR (P&#x0003C;0.001; <xref rid="f2-ijo-54-03-0845" ref-type="fig">Fig. 2A</xref>). It was demonstrated that miR-3664-5P upregulation inhibited GC cell proliferation and migration, and miR-3664-5P downregulation had the reverse effect on CCK8, EdU and plate colony assays (P&#x0003C;0.01; <xref rid="f2-ijo-54-03-0845" ref-type="fig">Fig. 2B&#x02013;D</xref>). Flow cytometry assays were performed to evaluate the effects of miR-3664-5P regulation on apoptosis and the cell cycle. The results revealed that miR-3664-5P overexpression in GC cells resulted in significant promotion of apoptosis and cell cycle arrest, whereas miR-3664-5P knockdown significantly suppressed apoptosis and promoted the accumulation of cells in the S and G2 stage (P&#x0003C;0.05; <xref rid="f3-ijo-54-03-0845" ref-type="fig">Fig. 3A and B</xref>). The transwell assay revealed that miR-3664-5P overexpression in decreased and miR-3664-5P inhibition in increased migration and invasion in the MGC803 and MKN45 cell lines (P&#x0003C;0.001; <xref rid="f4-ijo-54-03-0845" ref-type="fig">Fig. 4A and B</xref>). Taken together, the above results demonstrated that miR-3664-5P inhibited GC cell proliferation, migration and invasion <italic>in vitro</italic>.</p></sec>
<sec>
<title>miR-3664-5P acts as an inhibitor of tumor growth in vivo</title>
<p>A xenotransplantation model was established in order to gain better understanding of the role of miR-3664-5P <italic>in vivo</italic>. MGC803 cells transfected with miR-3664-5P overexpressing lentivirus were injected into nude mice subcutaneously. The tumor size was monitored every 5 days until sacrifice. Compared with the control group, miR-3664-5P overexpression markedly inhibited tumor growth <italic>in vivo</italic> (<xref rid="f5-ijo-54-03-0845" ref-type="fig">Fig. 5A&#x02013;C</xref>), verifying the inhibitory role of miR-3664-5P in the proliferation of GC cells. Consistently, detection of lung metastasis in the nude mice injected through the tail vein with miR-3664-5P overexpressing MGC308 or control cells revealed that an increased expression of miR-3664-5P was significantly associated with reduced lung metastases (<xref rid="f5-ijo-54-03-0845" ref-type="fig">Fig. 5D&#x02013;F</xref>).</p></sec>
<sec>
<title>MTDH is the functional target of miR-3664-5P</title>
<p>Sufficient evidence has demonstrated that miRNAs function by regulating the expression of a target gene (<xref rid="b4-ijo-54-03-0845" ref-type="bibr">4</xref>). To obtain an in-depth understanding of the association between miR-3664-5P and GC, two bioinformatics databases (TargetScan, <ext-link xlink:href="http://www.targetscan.org" ext-link-type="uri">www.targetscan.org</ext-link>; and miRDB, <ext-link xlink:href="http://www.mirdb.org" ext-link-type="uri">www.mirdb.org</ext-link>) were utilized to predict the target gene of miR-3664-5P (<xref rid="b29-ijo-54-03-0845" ref-type="bibr">29</xref>,<xref rid="b30-ijo-54-03-0845" ref-type="bibr">30</xref>). The results suggested that MTDH was the candidate with highest potential for binding sites, including 3 conserved putative target sites for miR-3664-5P (70-91, 3,358-3,379 and 5,000-5,021 nt) (data not shown). MTDH mRNA and protein expressions were upregulated in tumor tissues when compared with paired normal tissues (<xref rid="f6-ijo-54-03-0845" ref-type="fig">Fig. 6A and B</xref>). A Pearson correlation analysis of 100 GC tissues revealed that MTDH expression was negatively correlated with miR-3664-5P expression (<xref rid="f6-ijo-54-03-0845" ref-type="fig">Fig. 6C</xref>).</p>
<p>For further verification of the interactions between miR-3664-5P and the 3&#x02032;-UTR of MTDH mRNA, three pairs of WT (pDL-MTDH-30UTR-wt) or Mut (pDL-MTDH-30UTR-mut) reporter vectors were constructed based on the 3 potential binding sites and co-transfected with miR-3664-5P mimics or inhibitors into MGC803 or MKN45 cells, respectively. Among these 3 potential binding sites, the most pronounced decrease in luciferase activity when compared with the WT reporter in MGC803 cells was observed for the second site (3,358-3,379 nt; <xref rid="f6-ijo-54-03-0845" ref-type="fig">Fig. 6D and E</xref>). MTDH protein expression in MGC803 cells, where miR-3664-5P was knocked down, was further investigated. The results suggested that MTDH expression was decreased in MGC803 cells treated with miR-3664-5P mimics and increased in MKN45 cells treated with miR-3664-5P inhibitors (<xref rid="f6-ijo-54-03-0845" ref-type="fig">Fig. 6F</xref>). Furthermore, MTDH protein expression was decreased in tumor tissues transfected with miR-3664-5P overexpressing lentivirus in the xenotransplantation model (<xref rid="f6-ijo-54-03-0845" ref-type="fig">Fig. 6G</xref>). Taken together, these results demonstrated that miR-3664-5P functioned by targeting MTDH.</p></sec>
<sec>
<title>MTDH promotes the antitumor function of miR-3664-5P through the NF-&#x003BA;B signaling pathway</title>
<p>Considering a previous study (<xref rid="b23-ijo-54-03-0845" ref-type="bibr">23</xref>), it was hypothesized that miR-3664-5P may suppress GC by regulating the NF-&#x003BA;B signaling pathway, with MTDH as the key protein connecting miR-3664-5P and the NF-&#x003BA;B signaling pathway. Rescue assays in MKN45 cells were performed utilizing siRNAs targeting MTDH. CCK8, EdU, plate colony and Transwell assays were performed using MKN45 miR-3664-5P modified cells. The effect of miR-3664-5P inhibitors on miR-3664-5P antitumor function was counteracted by the ectopic expression of MTDH (<xref rid="f7-ijo-54-03-0845" ref-type="fig">Fig. 7A&#x02013;D</xref>). Then the expression levels of certain key proteins of the NF-&#x003BA;B signaling pathway and further downstream targets, including the intercellular adhesion molecule IL-8, MMP9 and VEGF, were assessed. The results revealed a decreased degradation of I&#x003BA;B&#x003B1; and an increased phosphorylation of p65, which induced the activation of the NF-&#x003BA;B signaling pathway in miR-3664-5P inhibited MKN45 cells. These observations were reversed to the pre-treatment expression levels following co-transfection with MTDH siRNAs (<xref rid="f7-ijo-54-03-0845" ref-type="fig">Fig. 7E</xref>). The downstream targets of the NF-&#x003BA;B signaling pathway were significantly upregulated in miR-3664-5P inhibited MKN45 cells, and MTDH siRNAs reversed these observations (<xref rid="f7-ijo-54-03-0845" ref-type="fig">Fig. 7F</xref>). The results indicated that miR-3664-5P suppressed the proliferation of GC cells by regulating MTDH expression, and the underlying mechanism may be associated with targeting the NF-&#x003BA;B signaling pathway.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The tumorigenesis of GC is a complicated process that has not been completely elucidated. Among the associated risk factors, familial inheritance and <italic>Helicobacter pylori</italic> (<italic>H. pylori</italic>) infection account for the largest proportion, followed by chronic atrophic gastritis, including pernicious anemia, toxic and dietary agents, previous gastric surgery with bile reflux, hypertrophic gastropathy including Metenier's disease, gastric polyps, low socioeconomic status and obesity (<xref rid="b12-ijo-54-03-0845" ref-type="bibr">12</xref>,<xref rid="b31-ijo-54-03-0845" ref-type="bibr">31</xref>-<xref rid="b33-ijo-54-03-0845" ref-type="bibr">33</xref>). In developing countries particularly, including China, <italic>H. pylori </italic>infection may be the greatest risk factor of GC (<xref rid="b25-ijo-54-03-0845" ref-type="bibr">25</xref>,<xref rid="b32-ijo-54-03-0845" ref-type="bibr">32</xref>). It is widely accepted that <italic>H. pylori</italic> infection promotes the genesis of GC by enhancing the production of free radicals and long-term inflammation of the gastric mucosa (<xref rid="b23-ijo-54-03-0845" ref-type="bibr">23</xref>,<xref rid="b25-ijo-54-03-0845" ref-type="bibr">25</xref>,<xref rid="b32-ijo-54-03-0845" ref-type="bibr">32</xref>). Thus, investigation into the conversion process from the gastric mucosa inflammation to GC will further the understanding of the underlying mechanisms of GC genesis.</p>
<p>NF-&#x003BA;B is a protein complex of transcription factors observed in the &#x003BA;-light chain of immunoglobins in B-cells and is composed of five members: Rel (c-Rel), RelA (p65), RelB, NF-&#x003BA;B1 (p50 and its precursor p105) and NF-&#x003BA;B2 (p52 and its precursor p100) (<xref rid="b34-ijo-54-03-0845" ref-type="bibr">34</xref>,<xref rid="b35-ijo-54-03-0845" ref-type="bibr">35</xref>). The classical or canonical NF-&#x003BA;B signaling pathway is activated by tumor necrosis factor (TNF), IL-1 and Toll-like receptor ligands, including lipopolysaccharides. Upon stimulation, I&#x003BA;B&#x003B1; is phosphory-lated and ubiquitinated, triggering the release, translocation and transcription of RelA (P65) (<xref rid="b36-ijo-54-03-0845" ref-type="bibr">36</xref>). Previous studies have demonstrated that the activation of the NF-&#x003BA;B signaling pathway is involved in the initiation and progression of a spectrum of different types of gastrointestinal cancers, including liver, pancreatic, prostate and lung cancers (<xref rid="b37-ijo-54-03-0845" ref-type="bibr">37</xref>-<xref rid="b42-ijo-54-03-0845" ref-type="bibr">42</xref>). In GC, chronic inflammation, including that induced by <italic>H. pylori</italic> infection, greatly increases the risk of cancer via a process that involves the production of protumorigenic cytokines, including TNF, IL-1, IL-6, IL-17A and IL-23, promoting the activation of the NF-&#x003BA;B and signal transducer and activator of transcription 3 signaling pathways (<xref rid="b43-ijo-54-03-0845" ref-type="bibr">43</xref>). NF-&#x003BA;B acts in epithelial and myeloid cells, and mainly suppresses cell death and sustains cell survival in epithelial cells, consequently aggravating disease progression (<xref rid="b34-ijo-54-03-0845" ref-type="bibr">34</xref>). MTDH, a classical oncoprotein, was reported to be involved in the activation of the NF-&#x003BA;B signaling pathway (<xref rid="b23-ijo-54-03-0845" ref-type="bibr">23</xref>). Upon the engagement of the upstream cytokines to receptors, MTDH will be phos-phorylated by I&#x003BA;B kinase &#x003B2;, then interact with P65, which finally promotes the translocation and transcriptional activity of P65 (<xref rid="b44-ijo-54-03-0845" ref-type="bibr">44</xref>,<xref rid="b45-ijo-54-03-0845" ref-type="bibr">45</xref>). In the present study, the significant role of miR-3664-5P in the suppression of the NF-&#x003BA;B signaling pathway was highlighted by targeting MTDH and inhibiting the proliferation and metastasis of GC, which was validated <italic>in vitro</italic> and <italic>in vivo</italic>. Analysis of the association between miR-3664-5P and the clinical data from patients with GC revealed that miR-3664-5P was significantly associated with the clinical features of GC tumor differentiation and tumor size, and positively correlated with the outcome of patients with GC. It should be noted that the present results do not agree with previously established data, in which GC prognosis was determined by the invasion of layers in the gastric mucosa (T classification) and lymph node metastasis (<xref rid="b46-ijo-54-03-0845" ref-type="bibr">46</xref>,<xref rid="b47-ijo-54-03-0845" ref-type="bibr">47</xref>), these were also not significantly associated with the expression of miR-3664-5P in the present cohort. Considering that correlation and prognostic analyses can provide supporting evidence to the conclusions <italic>in vitro</italic> and <italic>in vivo</italic>, and the results are cohort- and cohort capacity-dependent, it should be further investigated in a large cohort to confirm the results of the present study. Notably, the potential of miR-3664-5P to serve as a diagnosis marker in patient serum was also uncovered and verified in present study.</p>
<p>In conclusion, the present study suggested that during the tumorigenesis and progression of GC, miR-3664-5P suppressed the proliferation and metastasis of GC by attenuating the NF-&#x003BA;B signaling pathway through targeting MTDH. This highlights the potential of miR-3664-5P of being a prognostic and diagnostic indicator in GC.</p></sec></body>
<back>
<sec sec-type="other">
<title>Funding</title>
<p>The present study was supported in part by the National Natural Science Foundation of China (grant no. 81700537).</p></sec>
<sec sec-type="materials">
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p></sec>
<sec sec-type="other">
<title>Authors' contributions</title>
<p>LT conceived and designed the study. YJ, HY and JQ acquired the data, and performed the experiments and statistical analysis. YG and HL carried out the patient follow-up procedures. SW and LC analyzed and interpreted the data. YJ and LT drafted and edited the manuscript. All authors have given final approval of the version to be published.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>The present study was approved by the Ethics Committee of the Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital (approval no. 2010-SR-077.A1; Jiangsu, China) and all patients provided written informed consent. All experiments were approved by Animal Ethics Committee of Nanjing Medical University (Jiangsu, China).</p></sec>
<sec sec-type="other">
<title>Patient consent for publication</title>
<p>The present study obtained consent for publication from all patients.</p></sec>
<sec sec-type="other">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank Dr Hao Han (The First Affiliated Hospital of Nanjing Medical University, Jiangsu, China) for providing language and technological support.</p></ack>
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<floats-group>
<fig id="f1-ijo-54-03-0845" position="float">
<label>Figure 1</label>
<caption>
<p>miR-3664-5P is significantly downregulated in GC and associated with favorable prognosis in patients with GC. (A) miR-3664-5P expression in 100 human GC and paired adjacent normal tissues was detected via RT-qPCR. (B) miR-3664-5P expression was downregulated in GC cell lines when compared with the human normal gastric cell line GES-1; miR-3664-5P expression was determined by RT-qPCR with GAPDH as control. (C) Kaplan-Meier analysis indicated that patients with high miR-3664-5P expression (n=50) had a better overall survival and cancer specific survival when compared with the low expression group (n=50). (D) miR-3664-5P expression was detected in preoperatively obtained plasma from patients with GC (n=60) and compared with tumor-free patients (n=40). ROC curve analysis of miR-3664-5P was utilized to detect the diagnostic efficiency of GC. Data are presented as mean &#x000B1; standard error of the mean. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001, as indicated. miR, microRNA; GC, gastric cancer; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; ROC, receiver operating characteristic.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g00.tif"/></fig>
<fig id="f2-ijo-54-03-0845" position="float">
<label>Figure 2</label>
<caption>
<p>miR-3664-5P inhibits GC cell proliferation <italic>in vitro</italic>. (A) Following transfection with miR-3664-5P mimics or inhibitors, the expression of miR-3664-5P was significantly upregulated or downregulated, respectively, in the MKN45 and MGC803 cell lines. MGC803 was transfected with miR-3664-5P overexpres-sion lentivirus for in vivo assays. miR-3664-5P levels were determined by reverse transcription-quantitative polymerase chain reaction. (B) EdU, (C) Cell Counting Kit-8 and (D) plate colony assays were performed to detect the viability of GC cell lines (magnification, x200). miR-3664-5P upregulation inhibited and miR-3664-5P downregulation promoted the proliferation of GC cells. Data are presented as the mean &#x000B1; standard error of the mean, from three independent experiments. <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.01 and <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001 vs. the corresponding NC. NC, negative control; miR-inhibitor-NC, cells transfected with the negative control of the miR-3664-5P inhibitor; miR-inhibitors, cells transfected with miR-3664-5P inhibitors; miR-mimics-NC, cells transfected with the negative control of the miR-3664-5P mimics; miR-mimics, cells transfected with miR-3664-5P mimics; miR, microRNA; GC, gastric cancer; LV, lentivirus.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g01.tif"/></fig>
<fig id="f3-ijo-54-03-0845" position="float">
<label>Figure 3</label>
<caption>
<p>Overexpression of miR-3664-5P increases apoptosis and cell cycle arrest. Following treatment with miR-3664-5P inhibitors and mimics for 48 h, GC cells were stained and analyzed by flow cytometry. (A) The cell cycle distribution of MKN45 and MGC803 cells was detected using flow cytometry and the comparative analysis of cell numbers in the G1 and S + G2 phases are presented. (B) Total apoptosis of MKN45 and MGC803 cells was determined by flow cytometry and the comparative analysis of the number of apoptotic cells is presented. Data are presented as the mean &#x000B1; standard error of the mean, from three independent experiments. <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.01 and <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001 vs. the corresponding NC. NC, negative control; miR-inhibitor-NC, cells transfected with the negative control of the miR-3664-5P inhibitor; miR-inhibitors, cells transfected with miR-3664-5P inhibitors; miR-mimics-NC, cells transfected with the negative control of the miR-3664-5P mimics; miR-mimics, cells transfected with miR-3664-5P mimics; miR, microRNA; GC, gastric cancer.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g02.tif"/></fig>
<fig id="f4-ijo-54-03-0845" position="float">
<label>Figure 4</label>
<caption>
<p>miR-3664-5P inhibits GC cell migration and invasion <italic>in vitro</italic>. Transwell assays were performed to evaluate the migration and invasion abilities of GC cells. (A and B) The inhibition of miR-3664-5P enhanced, while the overexpression of miR-3664-5P suppressed, the migration and invasion of (A) MKN45 and (B) MGC803 cells. Magnification, x200; scale bars, 200 <italic>&#x000B5;</italic>m. Data are presented as the mean &#x000B1; standard error of the mean, from three independent experiments. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001 vs. the corresponding NC. NC, negative control; miR-inhibitor-NC, cells transfected with the negative control of the miR-3664-5P inhibitor; miR-inhibitors, cells transfected with miR-3664-5P inhibitors; miR-mimics-NC, cells transfected with the negative control of the miR-3664-5P mimics; miR-mimics, cells transfected with miR-3664-5P mimics; miR, microRNA; GC, gastric cancer.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g03.tif"/></fig>
<fig id="f5-ijo-54-03-0845" position="float">
<label>Figure 5</label>
<caption>
<p>miR-3664-5P inhibits tumor growth <italic>in vivo</italic>. (A) BALB/c nude mice (age, 6 weeks) were subcutaneously transplanted with LV-miR-3664-5P MGC803 cells (1&#x000D7;10<sup>7</sup>) in the left and LV-NC MGC803 cells (1&#x000D7;10<sup>7</sup>) in the right groin (n=10). (B) Tumor volume was determined every 5 days following transplantation and mice were sacrificed following 30 days. Tumor volume was calculated using: (width<sup>2</sup> &#x000D7; length)/2. (C) Tumor weight was measured following sacrifice (D) A tail vein xenograft model was constructed to investigate metastasis. (E) Representative images of hematoxylin and eosin staining of tumor tissues from mice subcutaneously injected with miR-3664-5P overexpression cells or NC cells (magnification, x200). (F) The number of metastatic lesions was calculated in each group. Data are presented as the mean &#x000B1; standard deviation (n=10). <sup>&#x0002A;</sup>P&#x0003C;0.05, <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.01 and <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001 vs. LV-NC. NC, negative control; LV, lentivirus; LV-NC, cells transfected with NC LV; LV-miR-3664-5P, cells transfected with miR-3664-5P overexpression LV; miR, microRNA; GC, gastric cancer.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g04.tif"/></fig>
<fig id="f6-ijo-54-03-0845" position="float">
<label>Figure 6</label>
<caption>
<p>MTDH is the functional target of miR-3664-5P. (A) MTDH levels were significantly increased in GC tissues when compared with the control. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001, as indicated. (B) IHC was performed to investigate MTDH expression in GC and adjacent normal tissues. Magnification, x200; scale bars, 100 <italic>&#x000B5;</italic>m. (C) Pearson correlation analysis revealed that miR-3664-5P expression was negatively correlated with MTDH expression in GC tissues. (D) miR-3664-5P targeted the 3&#x02032;-UTR of MTDH and the corresponding mutations of miR-3664-5P were assessed. (E) Luciferase reporter assays were performed to evaluate interactions between miR-3664-5P and candidate genes in GC cell lines. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001 vs. the corresponding NC. (F) MTDH protein levels in GC cells with miR-3664-5P knockdown or overexpression were detected. (G) IHC was performed in the tumor tissues collected from the mouse xenotransplantation model. Magnification, x200; scale bars, 100 <italic>&#x000B5;</italic>m. Data are presented as the mean &#x000B1; standard error of the mean. NC, negative control; miR-inhibitor-NC, cells transfected with the negative control of the miR-3664-5P inhibitor; miR-inhibitors, cells transfected with miR-3664-5P inhibitors; miR-mimics-NC, cells transfected with the negative control of the miR-3664-5P mimics; miR-mimics, cells transfected with miR-3664-5P mimics; LV, lentivirus; LV-NC, cells transfected with NC LV; LV-miR-3664-5P, cells transfected with miR-3664-5P overexpression LV; IHC, immunohistochemistry; N.S., not significant; miR, microRNA; GC, gastric cancer; UTR, untranslated region; Mut, mutant; WT, wild-type; MTDH, metadherin.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g05.tif"/></fig>
<fig id="f7-ijo-54-03-0845" position="float">
<label>Figure 7</label>
<caption>
<p>MTDH mediates the antitumor function of miR-3664-5P through the NF-&#x003BA;B signaling pathway. (A-D) miR-3664-5P inhibition enhanced the proliferation, migration and invasion of GC cells as determined by (A) plate colony assays, (B) transwell migration assays, (C) transwell invasion assays and (D) Cell Counting Kit-8 assays, which was reversed following transfection with MTDH siRNA. Magnification, x200; scale bars, 200 <italic>&#x000B5;</italic>m. (E) MKN45 transfected with miR-3664-5P inhibitors exhibited significant upregulation of MTDH and key molecules of the NF-&#x003BA;B signaling. Following transfection with MTDH siRNA, expression levels were restored to the original (untransfected) levels. (F) mRNA expression levels of the downstream targets of the NF-&#x003BA;B signaling pathway were upregulated in miR-3664-5P inhibited MKN45 cells and this effect was reversed following transfection with MTDH siRNA. Data are presented as the mean &#x000B1; standard error of the mean, from three independent experiments. <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.01 and <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001, as indicated. NC, negative control; miR-inhibitor-NC, cells transfected with the negative control of the miR-3664-5P inhibitor; miR-inhibitors, cells transfected with miR-3664-5P inhibitors; si-/ siRNA, small interfering RNA; si-NC, siRNA of NC; si-MTDH, siRNA targeting MTDH; N.S., not significant; miR, microRNA; GC, gastric cancer; MTDH, metadherin; NF-&#x003BA;B, nuclear factor-&#x003BA;B; I&#x003BA;B&#x003B1;, NF-&#x003BA;B inhibitor &#x003B1;; p-, phosphorylated; IL8, interleukin 8; MMP9, matrix metalloproteinase; VEGF, vascular endothelial growth factor.</p></caption>
<graphic xlink:href="IJO-54-03-0845-g06.tif"/></fig>
<table-wrap id="tI-ijo-54-03-0845" position="float">
<label>Table I</label>
<caption>
<p>Associations between miR-3664-5P expression and clinicopathological characteristics of patients with GC (n=100).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="3" align="center">Clinicopathological features</th>
<th valign="bottom" rowspan="3" align="center">Total n (n=100)</th>
<th colspan="2" valign="top" align="center">miR-3664-5P expression
<hr/></th>
<th valign="bottom" rowspan="3" align="center">P-value</th></tr>
<tr>
<th valign="middle" align="center">Low
<hr/></th>
<th valign="middle" align="center">High
<hr/></th></tr>
<tr>
<th valign="middle" align="center">No. of patients (%)</th>
<th valign="middle" align="center">No. of patients (%)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.826</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">36 (72.0)</td>
<td valign="middle" align="center">35 (70.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">14 (28.0)</td>
<td valign="middle" align="center">15 (30.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.406</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center">30 (60.0)</td>
<td valign="middle" align="center">34 (68.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x0003E;50</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">20 (40.0)</td>
<td valign="middle" align="center">16 (32.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.016<xref rid="tfn2-ijo-54-03-0845" ref-type="table-fn">a</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Well/ moderately</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">22 (44.0)</td>
<td valign="middle" align="center">34 (68.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center">28 (56.0)</td>
<td valign="middle" align="center">16 (32.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Clinical stage</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.069</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I-II</td>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">26 (52.0)</td>
<td valign="middle" align="center">17 (34.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III-IV</td>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">24 (48.0)</td>
<td valign="middle" align="center">33 (66.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Tumor size (cm)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.016<xref rid="tfn2-ijo-54-03-0845" ref-type="table-fn">a</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;3.5</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">19 (38.0)</td>
<td valign="middle" align="center">31 (52.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x0003E;3.5</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">31 (52.0)</td>
<td valign="middle" align="center">19 (38.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Lymph node metastasis</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.420</td></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center">20 (40.0)</td>
<td valign="middle" align="center">24 (48.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">30 (60.0)</td>
<td valign="middle" align="center">26 (52.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">T classification</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.838</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T<sub>1</sub>-T<sub>2</sub></td>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">31 (62.0)</td>
<td valign="middle" align="center">30 (60.0)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T<sub>3</sub>-T<sub>4</sub></td>
<td valign="middle" align="center">39</td>
<td valign="middle" align="center">19 (38.0)</td>
<td valign="middle" align="center">20 (40.0)</td>
<td valign="middle" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-54-03-0845">
<p>Data were analyzed by Chi-squared test.</p></fn><fn id="tfn2-ijo-54-03-0845">
<label>a</label>
<p>P&#x0003C;0.05. miR, microRNA.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijo-54-03-0845" position="float">
<label>Table II</label>
<caption>
<p>Univariate and multivariate survival analyses evaluating miR-3664-5P expression influencing overall survival in gastric cancer (n=100).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left">Variables</th>
<th colspan="2" valign="top" align="center">Univariate
<hr/></th>
<th colspan="2" valign="top" align="center">Multivariate analysis
<hr/></th></tr>
<tr>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.427</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="middle" align="center">0.770 (0.404-1.468)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.389</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x0003E;50</td>
<td valign="middle" align="center">0.753 (0.395-1.436)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.010<xref rid="tfn5-ijo-54-03-0845" ref-type="table-fn">b</xref></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.013<xref rid="tfn4-ijo-54-03-0845" ref-type="table-fn">a</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Well/ moderately</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="middle" align="center">2.176 (1.207-3.923)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.201 (1.178-4.113)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Clinical stage</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.188</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I-II</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III-IV</td>
<td valign="middle" align="center">1.501 (0.820-2.750)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Tumor size, cm</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.041<xref rid="tfn4-ijo-54-03-0845" ref-type="table-fn">a</xref></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.170</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;3.5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x0003E;3.5</td>
<td valign="middle" align="center">1.867 (1.027-3.396)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.546 (0.829-2.883)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Lymph node metastasis</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.009<xref rid="tfn5-ijo-54-03-0845" ref-type="table-fn">b</xref></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.003<xref rid="tfn5-ijo-54-03-0845" ref-type="table-fn">b</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="middle" align="center">2.252 (1.225-4.139)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.601 (1.379-4.907)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">T classification</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.372</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T<sub>1</sub>-T<sub>2</sub></td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T<sub>3</sub>-T<sub>4</sub></td>
<td valign="middle" align="center">1.306 (0.726-2.350)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">miR-3664-5P expression</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.001<xref rid="tfn6-ijo-54-03-0845" ref-type="table-fn">c</xref></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.029<xref rid="tfn4-ijo-54-03-0845" ref-type="table-fn">a</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Low</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;High</td>
<td valign="middle" align="center">0.360 (0.195-0.666)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.492 (0.260-0.931)</td>
<td valign="middle" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-ijo-54-03-0845">
<p>All of the results were adjusted using Cox proportional hazards models for differentiation, tumor size, lymph node metastasis and miR-3664-5P expression.</p></fn><fn id="tfn4-ijo-54-03-0845">
<label>a</label>
<p>P&#x0003C;0.05;</p></fn><fn id="tfn5-ijo-54-03-0845">
<label>b</label>
<p>P&#x0003C;0.01;</p></fn><fn id="tfn6-ijo-54-03-0845">
<label>c</label>
<p>P&#x0003C;0.001. NA, not adopted; HR, hazards ratio; CI, confidence interval; miR, microRNA.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-ijo-54-03-0845" position="float">
<label>Table III</label>
<caption>
<p>Univariate and multivariate survival analyses evaluating miR&#x02010;3664&#x02010;5P expression influencing cancer specific survival in gastric cancer (n=100).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left">Variables</th>
<th colspan="2" valign="middle" align="center">Univariate
<hr/></th>
<th colspan="2" valign="middle" align="center">Multivariate analysis
<hr/></th></tr>
<tr>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.880</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="middle" align="center">0.945 (0.458-1.952)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.362</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x0003E;50</td>
<td valign="middle" align="center">0.700 (0.325-1.507)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.006<xref rid="tfn9-ijo-54-03-0845" ref-type="table-fn">b</xref></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.024<xref rid="tfn8-ijo-54-03-0845" ref-type="table-fn">a</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Well/moderately</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="middle" align="center">2.625 (1.310-5.260)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.257 (1.114-4.573)</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Clinical stage</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.536</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I-II</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III-IV</td>
<td valign="middle" align="center">1.245 (0.622-2.493)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Tumor size, cm</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.163</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;3.5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x0003E;3.5</td>
<td valign="middle" align="center">1.641 (0.818-3.288)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">Lymph node metastasis</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.150</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="middle" align="center">1.663 (0.832-3.326)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">T classification</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.790</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NA</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T<sub>1</sub>-T<sub>2</sub></td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T<sub>3</sub>-T<sub>4</sub></td>
<td valign="middle" align="center">1.009 (0.550-2.196)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">miR-3664-5P expression</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.003<xref rid="tfn9-ijo-54-03-0845" ref-type="table-fn">b</xref></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.010<xref rid="tfn9-ijo-54-03-0845" ref-type="table-fn">b</xref></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Low</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;High</td>
<td valign="middle" align="center">0.334 (0.163-0.686)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.380 (0.183-0.791)</td>
<td valign="middle" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn7-ijo-54-03-0845">
<p>All of the results were adjusted using Cox proportional hazards models for differentiation and miR-3664-5P expression.</p></fn><fn id="tfn8-ijo-54-03-0845">
<label>a</label>
<p>P&#x0003C;0.05;</p></fn><fn id="tfn9-ijo-54-03-0845">
<label>b</label>
<p>P&#x0003C;0.01. NA, not adopted; HR, hazards ratio; CI, confidence interval; miR, microRNA.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
