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<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.2016.3813</article-id>
<article-id pub-id-type="publisher-id">ijo-50-02-0487</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Identification of microRNA-487b as a negative regulator of liver metastasis by regulation of KRAS in colorectal cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hata</surname><given-names>Tsuyoshi</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Mokutani</surname><given-names>Yukako</given-names></name><xref rid="af2-ijo-50-02-0487" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Takahashi</surname><given-names>Hidekazu</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Inoue</surname><given-names>Akira</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Munakata</surname><given-names>Koji</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Nagata</surname><given-names>Kazuya</given-names></name><xref rid="af3-ijo-50-02-0487" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Haraguchi</surname><given-names>Naotsugu</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Nishimura</surname><given-names>Junichi</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Hata</surname><given-names>Taishi</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Matsuda</surname><given-names>Chu</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Murata</surname><given-names>Kohei</given-names></name><xref rid="af4-ijo-50-02-0487" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Mizushima</surname><given-names>Tsunekazu</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Doki</surname><given-names>Yuichiro</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Mori</surname><given-names>Masaki</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yamamoto</surname><given-names>Hirofumi</given-names></name><xref rid="af1-ijo-50-02-0487" ref-type="aff">1</xref><xref rid="af3-ijo-50-02-0487" ref-type="aff">3</xref><xref ref-type="corresp" rid="c1-ijo-50-02-0487"/></contrib></contrib-group>
<aff id="af1-ijo-50-02-0487">
<label>1</label>Department of Surgery, Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871</aff>
<aff id="af2-ijo-50-02-0487">
<label>2</label>Department of Surgery, Yao Municipal Hospital, Yao, Osaka 581-0069</aff>
<aff id="af3-ijo-50-02-0487">
<label>3</label>Department of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871</aff>
<aff id="af4-ijo-50-02-0487">
<label>4</label>Department of Surgery, Suita Municipal Hospital, Suita, Osaka 564-0082, Japan</aff>
<author-notes>
<corresp id="c1-ijo-50-02-0487">Correspondence to: Dr Hirofumi Yamamoto, Department of Surgery, Gastroenterological Surgery, Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan, E-mail: <email>hyamamoto@gesurg.med.osaka-u.ac.jp</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>02</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>12</month>
<year>2016</year></pub-date>
<volume>50</volume>
<issue>2</issue>
<fpage>487</fpage>
<lpage>496</lpage>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2016</year></date>
<date date-type="accepted">
<day>20</day>
<month>10</month>
<year>2016</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year></permissions>
<abstract>
<p>Recent studies have shown that microRNAs (miRNAs) are involved in the progression of colorectal cancer (CRC). The aim of this study is to identify a novel miRNA that especially relates to liver metastasis and to explore the underlying mechanism. Differentially expressed miRNAs were analyzed using microarray, in primary CRC tumors without metastasis (n=16), those with liver metastasis (n=12), and liver metastatic lesions (n=8). We found that miR-487b level decreased in liver metastatic lesions, and qRT-PCR confirmed the results in the validating cohort (n=134). Survival analysis indicated that high expression of miR-487b was associated with better prognosis. <italic>In vitro</italic> studies were also performed to investigate the functional significance of miR-487b in human CRC cell lines. miR-487b showed an inhibitory effect on cell proliferation and invasion of CRC cells. miR-487b downregulated KRAS and inhibited its downstream signal pathways, and the luciferase reporter assay revealed that miR-487b directly targeted LRP6, a receptor for WNT/&#x003B2;-catenin signaling. These findings showed that decrease in miR-487b was related with liver metastasis. Our data suggest a possibility that miR-487b may suppress metastasis of CRC progression through inhibition of KRAS.</p></abstract>
<kwd-group>
<kwd>miR-487b</kwd>
<kwd>colorectal cancer</kwd>
<kwd>liver metastasis</kwd>
<kwd>KRAS</kwd>
<kwd>LRP6</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer (CRC) is the third most common cancer and the fourth most common cancer cause of death globally with ~1.2 million new cases and 600,000 deaths per year (<xref rid="b1-ijo-50-02-0487" ref-type="bibr">1</xref>,<xref rid="b2-ijo-50-02-0487" ref-type="bibr">2</xref>). Metastatic diseases occur in ~30&#x02013;50% of CRC patients, either at the time of initial diagnosis or during follow-up (<xref rid="b3-ijo-50-02-0487" ref-type="bibr">3</xref>,<xref rid="b4-ijo-50-02-0487" ref-type="bibr">4</xref>). CRC metastasizes predominantly to the liver, and liver metastases account for at least two thirds of CRC deaths (<xref rid="b3-ijo-50-02-0487" ref-type="bibr">3</xref>,<xref rid="b5-ijo-50-02-0487" ref-type="bibr">5</xref>,<xref rid="b6-ijo-50-02-0487" ref-type="bibr">6</xref>). Despite advances in research on primary CRC development, the mechanism for the progression from local disease to metastasis is not fully understood. Therefore, it is highly required to identify sensitive biological markers for early detection and the risk of metastasis in CRC.</p>
<p>MicroRNA (miRNA) is a small non-coding RNA of ~20&#x02013;24 base in length, and it post-transcriptionally regulates the expression of multiple target genes by binding to complementary sequences, mainly in the 3&#x02032;-untranslated regions (3&#x02032;-UTR) of the genes (<xref rid="b7-ijo-50-02-0487" ref-type="bibr">7</xref>,<xref rid="b8-ijo-50-02-0487" ref-type="bibr">8</xref>). miRNA also plays a crucial role in cancer, and its aberrant expression may cause uncontrolled cell proliferation, invasion, and metastasis (<xref rid="b9-ijo-50-02-0487" ref-type="bibr">9</xref>&#x02013;<xref rid="b12-ijo-50-02-0487" ref-type="bibr">12</xref>). Many miRNAs involved in development and progression of CRC have been identified, and some of them are reportedly shown to have potential value as biomarkers for diagnosis, prognosis and susceptibility in CRC (<xref rid="b13-ijo-50-02-0487" ref-type="bibr">13</xref>,<xref rid="b14-ijo-50-02-0487" ref-type="bibr">14</xref>). Recently, a few miRNAs are being tested for the clinical practice. For instance, a phase I trial with miRNA-34 is currently ongoing to evaluate its safety (<xref rid="b15-ijo-50-02-0487" ref-type="bibr">15</xref>). However, further studies are needed to comprehend the whole biological systems of miRNAs in CRC.</p>
<p>We previously performed microarray analyses to explore miRNAs that showed differential expression among primary CRC tumors with or without liver metastasis, and liver metastatic lesions. We reported that miRNA-132 was downregulated in the liver metastasis-related samples, and that this miRNA was associated with better prognosis in CRC (<xref rid="b16-ijo-50-02-0487" ref-type="bibr">16</xref>). In this study, we aimed at identifying another novel miRNA that was aberrantly expressed in liver metastasis, using the microarray data. We found that miRNA-487b (miR-487b) decreased in CRC tumors with liver metastasis and liver metastatic lesions when compared with CRC tumors without metastasis. Studies show that miR-487b inhibits WNT/&#x003B2;-catenin signaling pathway and suppresses metastasis in lung cancer (<xref rid="b17-ijo-50-02-0487" ref-type="bibr">17</xref>,<xref rid="b18-ijo-50-02-0487" ref-type="bibr">18</xref>). Xi <italic>et al</italic> also reported that KRAS was a direct target of miR-487b in lung cancer (<xref rid="b17-ijo-50-02-0487" ref-type="bibr">17</xref>). Furthermore, Gattolliat <italic>et al</italic> showed that miR-487b could be a favorable prognostic marker in neuroblastoma (<xref rid="b19-ijo-50-02-0487" ref-type="bibr">19</xref>). These findings suggest a possibility that miR-487b functions as a tumor suppressor. However, to our knowledge, no studies have examined miR-487b expression in CRC. The aim of this study was to reveal the clinical significance of miR-487b in CRC.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Collection of human tissue specimens</title>
<p>Tumor tissues were collected from 134 patients who received surgery between 2003 and 2013 at Osaka University Hospital and its three related facilities: 96 primary CRC tumors with stage I (n=18), II (n=38), and III (n=40) disease without metastasis, 22 primary CRC tumors with simultaneous liver metastasis (stage IV), and 16 liver metastatic lesions of CRC. All samples were immediately frozen in RNAlater (Ambion, Austin, TX, USA) and stored at &#x02212;80&#x000B0;C until RNA extraction. This study was approved by the institutional review board of each institution, and all subjects provided written informed consents before participation. The clinical parameters of the validating cohort are shown in <xref rid="tI-ijo-50-02-0487" ref-type="table">Table I</xref>.</p></sec>
<sec>
<title>Cell lines and culture</title>
<p>Human CRC cell lines DLD-1 (KRAS G13D), HCT116 (KRAS G13D), HT29 (BRAF V600E), and SW480 (KRAS G12V) were purchased from the American Type Culture Collection (Rockville, MD, USA) in 2001. Cell lines were maintained in Dulbecco's modified Eagle's medium (Sigma-Aldrich, St. Louis, MO, USA) with 10% fetal bovine serum in a humidified 5% CO<sub>2</sub> at 37&#x000B0;C.</p></sec>
<sec>
<title>Transient oligonucleotide transfection</title>
<p>miR-487b and negative control miRNA were purchased from Gene Design Inc. (Osaka, Japan). These were transfected into cells 24 h after seeding with Lipofectamine RNAiMAX reagent (Invitrogen, Carlsbad, CA, USA) at a final concentration of 30 nmol/l, according to the manufacturer's protocol.</p></sec>
<sec>
<title>Proliferation assays</title>
<p>Transfected cells were seeded at a density of 2.5&#x02013;3.0&#x000D7;10<sup>4</sup> per well in 24-well dishes. After cultured for 24, 48 and 72 h, cells were trypsinized and stained with trypan blue solution (Invitrogen). The total number of cells in each well was determined with Countess Automated Cell Counter (Invitrogen).</p></sec>
<sec>
<title>Colony formation assay</title>
<p>Transfected cells were seeded at a density of 500 per well in 6-well plates. After incubation at 37&#x000B0;C for 10 days, cells were washed with PBS, fixed with formalin and stained with Giemsa solution. The number of visible colonies was counted with ImageJ software (National Institutes of Health).</p></sec>
<sec>
<title>Invasion assay</title>
<p>To measure cell invasion, transwell inserts with 8-<italic>&#x000B5;</italic>m pores (BD Biosciences, San Jose, CA, USA) were used according to the manufacturer's protocol. The invading cells were fixed and stained with Diff-Quik (Sysmex, Hyogo, Japan), and counted under a light microscope in three random fields (&#x000D7;40 magnification).</p></sec>
<sec>
<title>Quantitative real-time polymerase chain reaction (qRT-PCR)</title>
<p>Total RNA was isolated using miRNeasy Mini kit (Qiagen, Hilden, Germany) for clinical tissues and TRIzol reagent (Invitrogen) for cell lines following the manufacturer's protocol. RNA concentration and purity were assessed with NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Rockland, DE, USA).</p>
<p>For miRNA quantification, TaqMan microRNA assays (Applied Biosystems, Foster City, CA, USA) were used: hsa-miR-487b ID 001285, and RNU6B ID 001093. Total RNA was reverse transcribed using TaqMan MicroRNA Reverse Transcription kit (Applied Biosystems). qRT-PCR was performed with ABI PRISM 7900HT Sequence Detection system (Applied Biosystems) using TaqMan Universal PCR Master Mix, No AmpErase UNG (Applied Biosystems). Relative expression was quantified with the &#x00394;&#x00394;Cq method (<xref rid="b20-ijo-50-02-0487" ref-type="bibr">20</xref>).</p>
<p>For mRNA quantification, total RNA was reverse transcribed using High Capacity RNA-to-cDNA kit (Applied Biosystems). To measure KRAS expression level, qRT-PCR was performed with LightCycler 480 Real-Time PCR system (Roche Diagnostics, Mannheim, Germany) using the specific primers and LightCycler-DNA Master SYBR Green I (Roche Diagnostics) (<xref rid="b21-ijo-50-02-0487" ref-type="bibr">21</xref>). The specifically designed primers were as follows: ACTB forward, 5&#x02032;-GATGAGATTGGCATGGCTTT-3&#x02032;; reverse, 5&#x02032;-CACCTTCACCGTTCCAGTTT-3&#x02032;. KRAS forward, 5&#x02032;-ATTCCTTTTATTGAAACATCAGCA-3&#x02032;; reverse 5&#x02032;-TCGGATCTCCCTCACCAAT-3&#x02032;. For LRP6 expression analysis, qRT-PCR was performed with ABI PRISM 7900HT Sequence Detection system (Applied Biosystems) using TaqMan Gene Expression Assays (Applied Biosystems) and TaqMan Universal PCR Master Mix, No AmpErase UNG (Applied Biosystems). The product numbers of TaqMan Gene Expression assay were as follows: ACTB ID Hs99999903_m1, LRP6 ID Hs00999795_m1. Relative expression was quantified using the &#x00394;&#x00394;Cq method (<xref rid="b20-ijo-50-02-0487" ref-type="bibr">20</xref>).</p></sec>
<sec>
<title>Western blot analysis</title>
<p>Western blot analysis was performed as described previously (<xref rid="b22-ijo-50-02-0487" ref-type="bibr">22</xref>). Briefly, cells were collected and lysed in RIPA buffer, containing phosphatase inhibitor and protease inhibitor cocktail. The protein lysates (20 <italic>&#x000B5;</italic>g) from each sample were separated with sodium dodecyl sulfate-poly-acrylamide gel electrophoresis (SDS-PAGE), and transferred electronically to a polyvinylidene difluoride membrane. The membrane was blocked with 5% skimmed milk and incubated with anti-human polyclonal antibodies against ERK, phosphorylated ERK, phosphorylated LRP6 (Cell Signaling Technology, Beverly, MA, USA), ACTB (Sigma-Aldrich), and anti-human monoclonal antibodies against AKT1, phosphorylated AKT, cleaved PARP, LRP6 (Cell Signaling Technology), KRAS (Sigma-Aldrich). The membrane was incubated with secondary antibodies, and visualized with the ECL Detection system (GE Healthcare, Little Chalfont, UK).</p></sec>
<sec>
<title>Luciferase reporter assay</title>
<p>For serum response element (SRE) luciferase reporter assay, the vector (pGL4.33&#x0005B;luc2P/SRE/Hygro&#x0005D;) was obtained from Promega (Madison, WI, USA). For pmirGLO luciferase reporter assay, the vector was made as follows. The 3&#x02032;-UTR of human LRP6 mRNA containing the putative miR-487b binding site was amplified by polymerase chain reaction (PCR). The primer sequences were; forward, 5&#x02032;-GCTCGCTAGCCTCGAAGCAGGATGGGCGATAGA-3&#x02032;; reverse 5&#x02032;-ATGCCTGCAGGTCGATGGACAAGGGCTGACCAA-3&#x02032;. The amplified DNA product was cloned into the restriction site downstream of the firefly luciferase gene in pmirGLO vector (Promega). The vector with mutant 3&#x02032;-UTR sequence was constructed using the QuikChange Site-Directed Mutagenesis kit (Agilent Technologies, Santa Clara, CA, USA) according to the manufacturer's protocol.</p>
<p>Cells were seeded in 96-well plates and transfected with both reporter vector and miRNA using Lipofectamine 2000 (Invitrogen), and collected 48 h after co-transfection. Luciferase activity was measured using Dual Luciferase Reporter assay system (Promega), as described previously (<xref rid="b16-ijo-50-02-0487" ref-type="bibr">16</xref>,<xref rid="b23-ijo-50-02-0487" ref-type="bibr">23</xref>). Briefly, the cell extracts were prepared by rinsing each plate twice with PBS and lysing the cells in Passive Lysis buffer (Promega). The transfection efficiency was evaluated with renilla luciferase activity, and firefly luciferase activity was normalized.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The data are expressed as the mean &#x000B1; standard deviation. Statistical differences were analyzed by the Student's t-test for continuous variables and by the Chi-square test for the others. Survival curves were drawn by the Kaplan-Meier method, and compared using the log-rank test. The Cox proportional hazard regression model was used to estimate the hazard ratio (HR) and the 95% confidence interval (CI). All statistical analyses were conducted with JMP ver. 11.0.0 (SAS Institute, Inc., Cary, NC, USA). P-values of &lt;0.05 were considered to be statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Identification of microRNAs with altered expression between colorectal and hepatic tissues by the microarray data</title>
<p>As a testing cohort, we used microarray data that were previously registered in the NCBI Gene Expression Omnibus database available through GEO with accession number GSE72199, consisting of tumor tissues derived from 36 patients: 16 primary CRC tumors with stage II and III disease without metastasis, 12 primary CRC tumors with simultaneous liver metastasis (stage IV), and 8 liver metastatic lesions of CRC (<xref rid="b16-ijo-50-02-0487" ref-type="bibr">16</xref>). Consequently, 38 miRNAs that showed significantly differential expression with fold change &gt;2.0 in microarray analyses were identified by comparison between primary tumors without metastasis and liver metastatic lesions (<xref rid="tII-ijo-50-02-0487" ref-type="table">Table II</xref>). Among them, we found that the expression of miR-487b, which is reportedly shown as an anti-oncomir in several human malignancies (<xref rid="b17-ijo-50-02-0487" ref-type="bibr">17</xref>&#x02013;<xref rid="b19-ijo-50-02-0487" ref-type="bibr">19</xref>), significantly decreased in liver metastatic lesions as compared to primary tumors without metastasis (P=0.030, <xref rid="f1-ijo-50-02-0487" ref-type="fig">Fig. 1A</xref>). qRT-PCR validated the result in the same testing cohort (n=36, P=0.001, <xref rid="f1-ijo-50-02-0487" ref-type="fig">Fig. 1B</xref>). To confirm the statistical correlation between the results of microarray and qRT-PCR, Spearman's rank order correlation coefficient was calculated, which showed a significant correlation (&#x003C1;=0.487, P=0.003, <xref rid="f1-ijo-50-02-0487" ref-type="fig">Fig. 1C</xref>).</p></sec>
<sec>
<title>miR-487b is downregulated in CRC liver metastasis</title>
<p>To confirm the differential expression of miR-487b between primary tumors without metastasis, and liver metastatic lesions, miR-487b expression was measured by qRT-PCR in the validating cohort of 134 patients: primary tumors without metastasis (n=96), primary tumors with liver metastasis (n=22), and liver metastatic lesions (n=16). It was confirmed that miR-487b expression in liver metastatic lesion was significantly lower than that in primary tumors without metastasis (P=0.041, <xref rid="f2-ijo-50-02-0487" ref-type="fig">Fig. 2A</xref>). In addition, we found that miR-487b expression significantly decreased in primary tumors with liver metastasis, as compared to that without metastasis (P=0.049, <xref rid="f2-ijo-50-02-0487" ref-type="fig">Fig. 2A</xref>). When we examined miR-487b expression in a pair of CRC tissue and its corresponding synchronous liver metastasis (n=7), metastatic lesions tended to express lower levels of miR-487b than the primary tumors (P=0.0996, <xref rid="f2-ijo-50-02-0487" ref-type="fig">Fig. 2B</xref>). miR-487b expression in tumor tissues was significantly higher than that in their pair-matched adjacent normal mucosal tissues (P=0.007, <xref rid="f2-ijo-50-02-0487" ref-type="fig">Fig. 2C</xref>).</p></sec>
<sec>
<title>Impact of miR-487b expression on the patient outcome</title>
<p>To reveal the impact of miR-487b expression on patient prognosis, 72 CRC patients were divided into two groups according to the median value of the miR-487b expression. Kaplan-Meier survival curve showed that the patients with high expression of miR-487b (n=36) demonstrated better prognosis for overall survival (OS) than those with low miR-487b expression (n=36, P=0.036, median follow-up 56.4 months, <xref rid="f2-ijo-50-02-0487" ref-type="fig">Fig. 2D</xref>). Univariate analysis showed that tumor depth (P&lt;0.0001), tumor differentiation (P=0.040), lymph node metastasis (P=0.010), lymphatic invasion (P=0.002), clinical stage (P&lt;0.0001), and miR-487b expression (P&lt;0.032) were significant prognostic parameters (<xref rid="tIII-ijo-50-02-0487" ref-type="table">Table III</xref>). Multivariate analysis revealed that miR-487b expression was an independent prognostic factor for 5-year OS, (RR of 4.164, 95% CI of 0.035), in addition to clinical stage (<xref rid="tIII-ijo-50-02-0487" ref-type="table">Table III</xref>). Clinical and pathological survey showed that miR-487b expression was significantly associated with tumor differentiation (P=0.040, <xref rid="tIV-ijo-50-02-0487" ref-type="table">Table IV</xref>).</p></sec>
<sec>
<title>miR-487b inhibits cell proliferation and invasion ability in CRC cells</title>
<p>We then performed <italic>in vitro</italic> experiments using human CRC cell lines. First, qRT-PCR revealed that the miR-487b levels of representative four CRC cell lines were low compared to clinical normal tissue samples (<xref rid="f3-ijo-50-02-0487" ref-type="fig">Fig. 3A</xref>). The ectopic expression of miR-487b resulted in reduction of cell viability at 48 and 72 h after transfection in HCT116, and at 72 h in DLD-1 (<xref rid="f3-ijo-50-02-0487" ref-type="fig">Fig. 3B</xref>). Increased expression of miR-487b was validated at 48 h by qRT-PCR in both cell lines (<xref rid="f3-ijo-50-02-0487" ref-type="fig">Fig. 3C</xref>). In colony formation assay, the numbers of colonies significantly decreased in miR-487b transfected cells as compared to negative control cultures in both cell lines (<xref rid="f3-ijo-50-02-0487" ref-type="fig">Fig. 3D</xref>). We then assessed cell invasion, since it is thought to play a crucial role at an initial step of metastasis. miR-487b transduced cells showed a marked reduction in the invasion ability in both cell lines (<xref rid="f3-ijo-50-02-0487" ref-type="fig">Fig. 3E</xref>). These results indicate that miR-487b suppresses cell proliferation, and more evidently inhibits invasion ability in CRC.</p></sec>
<sec>
<title>miR-487b downregulates KRAS signaling pathway in CRC cells</title>
<p>To reveal the underlying mechanisms of how miR-487b would suppress proliferation and invasion ability, we explored KRAS signaling pathway because there is evidence that miR-487b targets 3&#x02032;-UTRs of KRAS mRNA in lung cancer cell lines (<xref rid="b17-ijo-50-02-0487" ref-type="bibr">17</xref>) (<xref rid="f4-ijo-50-02-0487" ref-type="fig">Fig. 4A</xref>). At 48 h after transfection, KRAS mRNA levels in miR-487b transfected cells significantly decreased compared with negative control cultures of HCT116 and DLD-1 cells (<xref rid="f4-ijo-50-02-0487" ref-type="fig">Fig. 4B</xref>), which was clearly demonstrated with western blot analysis at a protein level (<xref rid="f4-ijo-50-02-0487" ref-type="fig">Fig. 4C</xref>). Additional studies were undertaken to examine the impact of miR-487b on downstream molecules of the KRAS signaling pathway. Phosphorylation of ERK and AKT in the miR-487b transfected cells decreased when compared to negative control cultures (<xref rid="f4-ijo-50-02-0487" ref-type="fig">Fig. 4D</xref>). SRE reporter assay revealed that miR-487b significantly inhibited SRE luciferase activities, indicating that the MAPK/ERK signaling pathway was partially blocked by miR-487b (<xref rid="f4-ijo-50-02-0487" ref-type="fig">Fig. 4E</xref>). Since miR-487b could also regulate AKT signaling pathways, we next investigated whether miR-487b would induce apoptosis. We found that introduction of miR-487b increased cleaved PARP expression in HCT116 cells (<xref rid="f4-ijo-50-02-0487" ref-type="fig">Fig. 4F</xref>), but not in DLD-1 cells (data not shown).</p></sec>
<sec>
<title>miR-487b directly targets LRP6 in CRC cells</title>
<p>By using the target prediction tool (TargetScan 7.0, and <ext-link xlink:href="http://microRNA.org" ext-link-type="uri">microRNA.org</ext-link>.), we found that miR-487b might bind to the 3&#x02032;-UTR of LRP6, a Frizzled (FZD) co-receptor for WNT signaling pathway (<xref rid="f5-ijo-50-02-0487" ref-type="fig">Figs. 5A</xref> and <xref rid="f6-ijo-50-02-0487" ref-type="fig">6</xref>). After miR-487b was co-transfected with a reporter plasmid harboring LRP6 3&#x02032;-UTR sequence, luciferase activities of the reporter were significantly reduced in HCT116 and DLD-1 cell lines (<xref rid="f5-ijo-50-02-0487" ref-type="fig">Fig. 5B</xref>), whereas, such decrease was not observed with mutant LRP6 3&#x02032;-UTR sequence, indicating that LRP6 could be a direct target of miR-487b. At 48 h after transfection, LRP6 levels significantly decreased in both cell lines at mRNA and protein levels by treatment of miR-487b (<xref rid="f5-ijo-50-02-0487" ref-type="fig">Fig. 5C and D</xref>). Moreover, transfection of miR-487b reduced the phosphorylated LRP6 protein (<xref rid="f5-ijo-50-02-0487" ref-type="fig">Fig. 5D</xref>), which was thought to be crucial for signal transduction in the WNT pathway.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Studies have shown that miRNA-181a and miRNA-214 have the potential to suppress liver metastasis through targeting WNT inhibitory factor 1 (WIF-1) and fibroblast growth factor receptor 1 (FGFR1), respectively (<xref rid="b24-ijo-50-02-0487" ref-type="bibr">24</xref>,<xref rid="b25-ijo-50-02-0487" ref-type="bibr">25</xref>). Our group also reported that miRNA-132 was related to liver metastasis of CRC and targets anoctamin 1 (ANO1) (<xref rid="b16-ijo-50-02-0487" ref-type="bibr">16</xref>). In an effort to identify another novel miRNA related to liver metastasis, we focused on miR-487b that significantly decreased in liver metastatic lesions as compared to primary tumors without metastasis. In this study, we found that miR-487b level in tumors was even higher than that in their paired normal tissues. Since miR-487b acts as a tumor suppressor, this result seems to be somewhat contradictory. However, such paradox could happen in the process of carcinogenesis. Weinstein emphasized the existence of feedback mechanisms to maintain the homeostatic balance in human malignancies between positive and negative regulators of the cell cycle, by showing that CDK inhibitors p21<sup>Cip1/Waf1</sup>, p27<sup>Kip1</sup>, or even <italic>Rb</italic> tumor suppressor gene products increased in several cancer types (<xref rid="b26-ijo-50-02-0487" ref-type="bibr">26</xref>,<xref rid="b27-ijo-50-02-0487" ref-type="bibr">27</xref>). Similar scenario is reported in case of miRNA. Thus, anti-onco miR-132 or -133b rather increased in tumor tissues (<xref rid="b28-ijo-50-02-0487" ref-type="bibr">28</xref>&#x02013;<xref rid="b30-ijo-50-02-0487" ref-type="bibr">30</xref>). In addition, some reports showed that miR-34a, a representative anti-oncomir (<xref rid="b31-ijo-50-02-0487" ref-type="bibr">31</xref>,<xref rid="b32-ijo-50-02-0487" ref-type="bibr">32</xref>), was shown to be upregulated in cancer tissue rather than in normal mucosa (<xref rid="b30-ijo-50-02-0487" ref-type="bibr">30</xref>,<xref rid="b33-ijo-50-02-0487" ref-type="bibr">33</xref>). Therefore, we postulate that the present findings of an increase in miR-487b in tumor tissues may not be unique considering the complex miRNA networks in cancer development.</p>
<p>Our study revealed that miR-487b inhibited cell proliferation, colony formation, and cell invasion. These findings suggest that miR-487b may play a role as an anti-oncomir (i.e., tumor suppressor) as demonstrated by other studies; Xi <italic>et al</italic> reported that miR-487b targets SUZ12, BMI1, WNT5A, MYC and KRAS and that its expression was downregulated in lung cancer (<xref rid="b17-ijo-50-02-0487" ref-type="bibr">17</xref>). Gattolliat <italic>et al</italic> showed that high miR-487b expression was a marker for improved prognosis in neuroblastoma (<xref rid="b19-ijo-50-02-0487" ref-type="bibr">19</xref>). In this study, we focused on RAS and WNT/&#x003B2;-catenin signaling pathway, both of which are essential for cancer metastasis (<xref rid="b34-ijo-50-02-0487" ref-type="bibr">34</xref>,<xref rid="b35-ijo-50-02-0487" ref-type="bibr">35</xref>).</p>
<p>Consistent with a previous study by Xi <italic>et al</italic> (<xref rid="b17-ijo-50-02-0487" ref-type="bibr">17</xref>), we confirmed that miR-487b clearly downregulated KRAS expression in CRC, which linked to decrease in phosphorylation of ERK and AKT. miR-487b eventually decreased the SRE transcription activity. Earlier studies have established the roles of KRAS-dependent signaling in enhancement of cell proliferation, invasion and metastasis in CRC (<xref rid="b34-ijo-50-02-0487" ref-type="bibr">34</xref>,<xref rid="b36-ijo-50-02-0487" ref-type="bibr">36</xref>). The mutation status of <italic>KRAS</italic> gene is one of the most essential factors for treatment strategy against CRC in the use of anti-EGFR antibody. Moreover, recent studies have shown that the emergence of <italic>KRAS</italic> mutations is a mediator of acquired resistance to EGFR blockade (<xref rid="b37-ijo-50-02-0487" ref-type="bibr">37</xref>,<xref rid="b38-ijo-50-02-0487" ref-type="bibr">38</xref>). In this regard, the ability of miR-487b to suppress MAPK/ERK and AKT signaling might be an effective approach to CRC with <italic>KRAS</italic> mutation.</p>
<p>LRP6, a single span transmembrane protein, is a crucial component of the WNT/&#x003B2;-catenin signaling pathway. We found that LRP6 harbored miR-487b binding sequence in its 3&#x02032;-UTR by miRNA target screening and validated this binding. LRP6 forms a receptor complex with FZD in presence of WNT ligand, and DVL recruitment by FZD leads to LRP6 phosphorylation and Axin recruitment, which allows &#x003B2;-catenin to accumulate in the nucleus where it serves as a coactivator for TCF to activate WNT-responsive genes (<xref rid="b39-ijo-50-02-0487" ref-type="bibr">39</xref>) (<xref rid="f6-ijo-50-02-0487" ref-type="fig">Fig. 6</xref>). LRP6 has been shown to function as an oncogene by promoting cell growth, invasion and migration, and is expected to be a target for cancer therapy (<xref rid="b40-ijo-50-02-0487" ref-type="bibr">40</xref>&#x02013;<xref rid="b45-ijo-50-02-0487" ref-type="bibr">45</xref>). Notably, there is evidence that ERK1/2 in the RAS/MAPK pathway could facilitate WNT/&#x003B2;-catenin signaling via LRP6 phosphorylation on serine-1490 (S1490) and threonine-1572 (T1572) at both mature (transmenbrane LRP6) and immature state during its Golgi network-based maturation process (<xref rid="b46-ijo-50-02-0487" ref-type="bibr">46</xref>,<xref rid="b47-ijo-50-02-0487" ref-type="bibr">47</xref>). Taken together, it is conceivable that miR-487b may further contribute to break the synergistic interaction between ERK and LRP6, as a result of the concurrent dual targeting of KRAS and LRP6 (<xref rid="f6-ijo-50-02-0487" ref-type="fig">Fig. 6</xref>). Downstream of LRP6, however, it is known that a majority of CRC harbors mutation in <italic>APC</italic> or <italic>CTNNB1</italic> gene and the frequency of gene mutations involved in the canonical WNT/&#x003B2;-catenin pathway accounted for more than 90% (<xref rid="b48-ijo-50-02-0487" ref-type="bibr">48</xref>&#x02013;<xref rid="b51-ijo-50-02-0487" ref-type="bibr">51</xref>). Therefore, it should be carefully assessed to what extent downregulation of LRP6 would affect the WNT/&#x003B2;-catenin signaling and the malignant potential of CRC. Further investigation on this issue is essential as the next step.</p>
<p>In conclusion, this study demonstrated that decreased expression of miR-487b was associated with liver metastasis and that miR-487b may play a crucial role in regulating tumor progression in CRC through targeting KRAS. Our data suggest that miR-487b could be a sensitive marker for liver metastasis and prognosis of the patients. Further study is needed to establish a novel strategy using miR-487b for treatment against CRC.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>This study was supported by a Grant-in Aid for Scientific Research (KAKENHI) to Hirofumi Yamamoto (nos. 21390360, 30322184 and 24390315).</p></ack>
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<floats-group>
<fig id="f1-ijo-50-02-0487" position="float">
<label>Figure 1</label>
<caption>
<p>miR-487b expression in colorectal and hepatic tissues. (A) The result of microarray showed that miR-487b expression in liver metastatic lesions was lower than that in primary tumors without metastasis (P=0.030). (B) qRT-PCR was performed to validate the result of microarray data, and it demonstrated that miR-487b expression in liver metastatic lesions was significantly lower than that in primary CRC tumors without liver metastasis (P=0.001). (C) A significant correlation was observed between the results of microarray data and qRT-PCR (&#x003C1;=0.487, P=0.003). <sup>&#x0002A;</sup>P&lt;0.05.</p></caption>
<graphic xlink:href="IJO-50-02-0487-g00.jpg"/></fig>
<fig id="f2-ijo-50-02-0487" position="float">
<label>Figure 2</label>
<caption>
<p>miR-487b expression in the independent cohort and survival analysis in patients with CRC. (A) In the validating cohort of 134 patients, miR-487b expression was lower in both liver metastatic lesions and primary tumors with liver metastasis, as compared to that without metastasis (P=0.041 and 0.049, respectively). (B) miR-487b expression in seven pairs of primary tumors and corresponding synchronous liver metastatic lesions was analyzed by qRT-PCR. Metastatic lesions tended to express lower levels of miR-487b than primary tumors (P=0.0996). (C) miR-487b expression in tumor tissues (n=39) was higher than that in their pair-matched adjacent normal mucosal tissues (P=0.007). (D) Kaplan-Meier survival curve showed that the patients with high expression of miR-487b (n=36) demonstrated better prognosis for overall survival (OS) than those with low miR-487b expression (n=36, P=0.036, median follow-up 56.4 months). <sup>&#x0002A;</sup>P&lt;0.05.</p></caption>
<graphic xlink:href="IJO-50-02-0487-g01.jpg"/></fig>
<fig id="f3-ijo-50-02-0487" position="float">
<label>Figure 3</label>
<caption>
<p>The overexpression of miR-487b inhibits cell proliferation and invasion in CRC cells. (A) qRT-PCR revealed that the miR-487b levels of representative four CRC cell lines (HCT116, HT29, SW480, and DLD-1) were low compared to clinical normal tissue samples. (B) The ectopic expression of miR-487b reduced cell viability at 48 and 72 h after transfection in HCT116, and at 72 h in DLD-1. (C) Increased expression of miR-487b was validated at 48 h by qRT-PCR in both cell lines. (D) Colony forming ability significantly decreased in miR-487b transfected cells as compared to negative control cultures in both cell lines. Left panels show the representative image of microscopic observation of 6-well plates. (E) miR-487b transduced cells showed a marked reduction in the invasion ability in both cell lines. Left panels show the representative image of microscopic observation. Scale bars, 100 <italic>&#x000B5;</italic>m. Data are presented as mean &#x000B1; SD from three different replicates. NC, negative control-transfected cells; 487b, miR-487b transfected cells. <sup>&#x0002A;</sup>P&lt;0.05.</p></caption>
<graphic xlink:href="IJO-50-02-0487-g02.jpg"/></fig>
<fig id="f4-ijo-50-02-0487" position="float">
<label>Figure 4</label>
<caption>
<p>miR-487b inhibits KRAS expression and its downstream signaling, inducing apoptosis. (A) The 3&#x02032;-UTR of KRAS contains putative binding site of miR-487b. (B) KRAS mRNA levels in miR-487b transfected cells significantly decreased compared with negative control cultures of HCT116 and DLD-1 cells. (C) Western blot analysis demonstrated that KRAS expression was downregulated in DLD-1 and HCT116 cells transfected with miR-487b at a protein level. Right panel shows the quantitative graphs of densitometry for the bands measured by ImageJ software. (D) Phosphorylation of ERK and AKT in the miR-487b transfected cells decreased when compared to negative control cultures. (E) SRE luciferase activities were significantly repressed by the introduction of miR-487b in both cell lines. (F) Cleaved PARP expression was upregulated in HCT116 cells treated with miR-487b. ACTB is a loading control in western blotting. Data are presented as mean &#x000B1; SD from three different replicates. NC, negative control-transfected cells; 487b, miR-487b transfected cells. <sup>&#x0002A;</sup>P&lt;0.05.</p></caption>
<graphic xlink:href="IJO-50-02-0487-g03.jpg"/></fig>
<fig id="f5-ijo-50-02-0487" position="float">
<label>Figure 5</label>
<caption>
<p>miR-487b inhibits the expression and phosphorylation of LRP6. (A) The 3&#x02032;-UTR of LRP6 contains putative binding site of miR-487b. (B) Luciferase activities of the reporter plasmid containing wild LRP6 3&#x02032;-UTR sequence (WT) were significantly repressed by the co-transfection of miR-487b, but not with mutant LRP6 3&#x02032;-UTR sequence (MT). (C) LRP6 mRNA levels significantly decreased by ectopic expression of miR-487b. (D) Western blot analysis showed that both the expression and phosphorylation of LRP6 were reduced in miR-487b transfected cells as compared to negative control cultures in both cell lines. ACTB is a loading control. Data are presented as mean &#x000B1; SD from three different replicates. NC, negative control transfected cells; 487b, miR-487b transfected cells. <sup>&#x0002A;</sup>P&lt;0.05.</p></caption>
<graphic xlink:href="IJO-50-02-0487-g04.jpg"/></fig>
<fig id="f6-ijo-50-02-0487" position="float">
<label>Figure 6</label>
<caption>
<p>Schematic model of miR-487b, inhibiting MAPK/ERK, AKT, and ligand-dependent WNT/&#x003B2;-catenin pathways. Exogenous miR-487b can suppress MAPK/ERK and AKT signaling through the downregulation of KRAS. miR-487b also targets LRP6, which forms a transmembrane receptor complex with Frizzled in presence of WNT ligand. In addition, ERK could facilitate WNT/&#x003B2;-catenin signaling via LRP6 phosphorylation. Note that miR-487b should break the synergistic interaction between ERK and LRP6, as a result of the concurrent dual targeting of KRAS and LRP6.</p></caption>
<graphic xlink:href="IJO-50-02-0487-g05.jpg"/></fig>
<table-wrap id="tI-ijo-50-02-0487" position="float">
<label>Table I</label>
<caption>
<p>Patient chracteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Patient characteristics</th>
<th valign="top" align="center">Without metastasis (stage I/II/III)</th>
<th valign="top" align="center">With liver metastasis</th>
<th valign="top" align="center">Liver metastasis lesion</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">No. of patients</td>
<td valign="top" align="center">96 (18/38/40)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">16</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Tumor size</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;35 mm</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;35 mm</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Location</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Colon</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Rectum</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Differentiation</td></tr>
<tr>
<td valign="top" align="left">&#x02003;tub1, tub2</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;muc, por</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Depth</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T1, T2</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T3, T4</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Lymph node metastasis</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Lymphatic invasion</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Venous invasion</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center"/></tr></tbody></table></table-wrap>
<table-wrap id="tII-ijo-50-02-0487" position="float">
<label>Table II</label>
<caption>
<p>The result of microarray analysis (fold change &gt;2.0, P&lt;0.05).</p></caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">hsa-miR-1</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left">hsa-miR-28-3p</td></tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">hsa-miR-10b</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">hsa-miR-3132</td></tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">hsa-miR-1273e</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">hsa-miR-3154</td></tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">hsa-miR-1288</td>
<td valign="top" align="left">23</td>
<td valign="top" align="left">hsa-miR-3202</td></tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">hsa-miR-132</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">hsa-miR-337-5p</td></tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">hsa-miR-133a</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">hsa-miR-363</td></tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">hsa-miR-133b</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">hsa-miR-381</td></tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">hsa-miR-139-3p</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">hsa-miR-3917</td></tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">hsa-miR-142-5p</td>
<td valign="top" align="left">28</td>
<td valign="top" align="left">hsa-miR-409-3p</td></tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">hsa-miR-143-3p</td>
<td valign="top" align="left">29</td>
<td valign="top" align="left">hsa-miR-4261</td></tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">hsa-miR-143-5p</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">hsa-miR-4324</td></tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">hsa-miR-145-5p</td>
<td valign="top" align="left">31</td>
<td valign="top" align="left">hsa-miR-4328</td></tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">hsa-miR-145-3p</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">hsa-miR-450a</td></tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">hsa-miR-146a</td>
<td valign="top" align="left">33</td>
<td valign="top" align="left">hsa-miR-487b</td></tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">hsa-miR-152</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">hsa-miR-493-5p</td></tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">hsa-miR-199a-3p</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">hsa-miR-495</td></tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">hsa-miR-199b-5p</td>
<td valign="top" align="left">36</td>
<td valign="top" align="left">hsa-miR-582-5p</td></tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">hsa-miR-212</td>
<td valign="top" align="left">37</td>
<td valign="top" align="left">hsa-miR-601</td></tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">hsa-miR-223</td>
<td valign="top" align="left">38</td>
<td valign="top" align="left">hsa-miR-625</td></tr></tbody></table></table-wrap>
<table-wrap id="tIII-ijo-50-02-0487" position="float">
<label>Table III</label>
<caption>
<p>Univariate and multivariate analyses for 5-year overall survival.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="center"/>
<th colspan="2" valign="bottom" align="center">Univariate analysis
<hr/></th>
<th valign="bottom" rowspan="2" align="center">P-value</th>
<th colspan="2" valign="bottom" align="center">Multivariate analysis
<hr/></th>
<th valign="bottom" rowspan="2" align="center">P-value</th></tr>
<tr>
<th valign="bottom" align="center">RR</th>
<th valign="bottom" align="center">95% CI</th>
<th valign="bottom" align="center">RR</th>
<th valign="bottom" align="center">95% CI</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (male/female)</td>
<td valign="top" align="center">1.069</td>
<td valign="top" align="center">0.356&#x02013;3.545</td>
<td valign="top" align="center">0.906</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Tumor size (&#x02264;35 mm/&gt;35 mm)</td>
<td valign="top" align="center">0.745</td>
<td valign="top" align="center">0.167&#x02013;2.438</td>
<td valign="top" align="center">0.647</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Location (colon/rectum)</td>
<td valign="top" align="center">0.757</td>
<td valign="top" align="center">0.244&#x02013;2.279</td>
<td valign="top" align="center">0.616</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Differentiation (tub1, tub2/muc, por)</td>
<td valign="top" align="center">0.569</td>
<td valign="top" align="center">0.112&#x02013;10.383</td>
<td valign="top" align="center">0.617</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Depth (T1-3/T4)</td>
<td valign="top" align="center">0.075</td>
<td valign="top" align="center">0.012&#x02013;0.282</td>
<td valign="top" align="center">&lt;0.0001<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td>
<td valign="top" align="center">0.316</td>
<td valign="top" align="center">0.045&#x02013;1.363</td>
<td valign="top" align="center">0.131</td></tr>
<tr>
<td valign="top" align="left">Lymph node metastasis (&#x02212;/+)</td>
<td valign="top" align="center">0.184</td>
<td valign="top" align="center">0.028&#x02013;0.688</td>
<td valign="top" align="center">0.010<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td>
<td valign="top" align="center">0.319</td>
<td valign="top" align="center">0.047&#x02013;1.311</td>
<td valign="top" align="center">0.120</td></tr>
<tr>
<td valign="top" align="left">Lymphatic invasion (&#x02212;/+)</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.005&#x02013;0.459</td>
<td valign="top" align="center">0.002<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td>
<td valign="top" align="center">0.193</td>
<td valign="top" align="center">0.010&#x02013;1.214</td>
<td valign="top" align="center">0.085</td></tr>
<tr>
<td valign="top" align="left">Venous invasion (&#x02212;/+)</td>
<td valign="top" align="center">0.262</td>
<td valign="top" align="center">0.014&#x02013;1.331</td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">0.890</td>
<td valign="top" align="center">0.196&#x02013;2.999</td>
<td valign="top" align="center">0.860</td></tr>
<tr>
<td valign="top" align="left">Stage (I&#x02013;III/IV)</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">0.001&#x02013;0.126</td>
<td valign="top" align="center">&lt;0.0001<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td>
<td valign="top" align="center">0.099</td>
<td valign="top" align="center">0.005&#x02013;0.714</td>
<td valign="top" align="center">0.020<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td></tr>
<tr>
<td valign="top" align="left">miR-487b expression (low/high)</td>
<td valign="top" align="center">3.628</td>
<td valign="top" align="center">1.109&#x02013;16.185</td>
<td valign="top" align="center">0.032<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td>
<td valign="top" align="center">4.164</td>
<td valign="top" align="center">1.097&#x02013;21.600</td>
<td valign="top" align="center">0.035<xref rid="tfn2-ijo-50-02-0487" ref-type="table-fn">a</xref></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-50-02-0487">
<p>RR, relative risk. CI, confidence interval.</p></fn><fn id="tfn2-ijo-50-02-0487">
<label>a</label>
<p>Statistical significance.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-ijo-50-02-0487" position="float">
<label>Table IV</label>
<caption>
<p>miR-487b expression and clinicopathological characteristics in colorectal cancer patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Patient characteristics</th>
<th valign="top" align="center">High miR-487b expression<break/>(n=36)</th>
<th valign="top" align="center">Low miR-487b expression<break/>(n=36)</th>
<th valign="top" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td colspan="4" valign="top" align="left">Gender</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.629</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Tumor size</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;35 mm</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;35 mm</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">1</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Location</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Colon</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Rectum</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.238</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Differentiation</td></tr>
<tr>
<td valign="top" align="left">&#x02003;tub1, tub2</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;muc, por</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.040<xref rid="tfn3-ijo-50-02-0487" ref-type="table-fn">a</xref></td></tr>
<tr>
<td colspan="4" valign="top" align="left">Depth</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T1,T2,T3</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T4</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0.083</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Lymph node metastasis</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.343</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Lymphatic invasion</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.234</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Venous invasion</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">0.165</td></tr>
<tr>
<td colspan="4" valign="top" align="left">Stage</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I, II, III</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;IV</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.07</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-ijo-50-02-0487">
<label>a</label>
<p>Statistical significance.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
