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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2017.6444</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-6444</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>MicroRNA-34a suppresses colorectal cancer metastasis by regulating Notch signaling</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Xuemei</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref>
<xref rid="af3-ol-0-0-6444" ref-type="aff">3</xref>
<xref rid="fn1-ol-0-0-6444" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Ai</surname><given-names>Feiyan</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref>
<xref rid="fn1-ol-0-0-6444" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xiayu</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Tian</surname><given-names>Li</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Xiaoyan</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Shen</surname><given-names>Shourong</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Fen</given-names></name>
<xref rid="af1-ol-0-0-6444" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-6444" ref-type="aff">2</xref>
<xref rid="c1-ol-0-0-6444" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-6444"><label>1</label>Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan 410013, P.R. China</aff>
<aff id="af2-ol-0-0-6444"><label>2</label>Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha, Hunan 410008, P.R. China</aff>
<aff id="af3-ol-0-0-6444"><label>3</label>Cancer Research Institute, Central South University, Changsha, Hunan 410013, P.R. China</aff>
<aff id="af4-ol-0-0-6444"><label>4</label>Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Changsha, Hunan 410008, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-6444"><italic>Correspondence to</italic>: Dr Fen Liu, Department of Gastroenterology, The Third Xiangya Hospital of Central South University, 138 Tong-Zi-Po Road, Changsha, Hunan 410013, P.R. China, E-mail: <email>liufencsu@163.com</email></corresp>
<fn id="fn1-ol-0-0-6444"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>08</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>06</month>
<year>2017</year></pub-date>
<volume>14</volume>
<issue>2</issue>
<fpage>2325</fpage>
<lpage>2333</lpage>
<history>
<date date-type="received"><day>10</day><month>09</month><year>2015</year></date>
<date date-type="accepted"><day>04</day><month>04</month><year>2017</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Zhang et al.</copyright-statement>
<copyright-year>2017</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>Dysregulation of microRNA (miRNA/miR) expression is causally associated with cancer initiation and progression. However, the precise mechanisms by which dysregulated miRNAs induce colorectal tumorigenesis remain unknown. In the present study, downregulation of miR-34a was identified in colorectal cancer cell lines and clinical specimens. Clinical studies revealed that miR-34a expression was negatively associated with distant metastasis, and positively associated with differentiation and survival of human colorectal cancer specimens. <italic>In vitro</italic> miRNA functional assays demonstrated that miR-34a bound to the putative 3&#x2032;-untranslated regions of Notch1 and Jagged1 in SW480 cells, and thereby attenuated the migration and invasion of the colon cancer cells. It was additionally identified that miR-34a downregulated the expression of vimentin and fibronectin via Notch1 and Jagged1. Overall, these data indicate that miR-34a serves a key role in suppressing colorectal cancer metastasis by targeting and regulating Notch signaling.</p>
</abstract>
<kwd-group>
<kwd>microRNAs</kwd>
<kwd>colorectal cancer</kwd>
<kwd>Notch1</kwd>
<kwd>Jagged1</kwd>
<kwd>cell metastasis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer (CRC) is the third most common type of cancer, and the leading cause of cancer-associated mortality worldwide (<xref rid="b1-ol-0-0-6444" ref-type="bibr">1</xref>). Previous studies suggest that ~20&#x0025; of the patients diagnosed with CRC exhibit metastatic disease, and an additional 30&#x2013;35&#x0025; develop metastases later with tumor progression (<xref rid="b2-ol-0-0-6444" ref-type="bibr">2</xref>,<xref rid="b3-ol-0-0-6444" ref-type="bibr">3</xref>). Despite significant therapeutic advances, ~60&#x0025; of all patients receiving curative resection will experience local recurrence or distant metastases (<xref rid="b4-ol-0-0-6444" ref-type="bibr">4</xref>). Therefore, a comprehensive understanding of the molecular mechanisms associated with CRC metastasis is imperative to facilitate early diagnosis in high-risk populations.</p>
<p>In previous years, rapid advances have occurred in the use of microRNAs (miRNAs/miRs) as novel biomarkers in patients with cancer. miRNAs are short non-coding RNA molecules, which have been widely identified to be involved in malignant transformation by inhibiting the expression of target genes through translational inhibition or transcriptional silencing (<xref rid="b5-ol-0-0-6444" ref-type="bibr">5</xref>). In cancer, miRNAs may act as either oncogenes or tumor suppressor genes that affect almost every basic cellular process. However, the aberrant expression and potential role of miRNAs in CRC remains largely unclear, particularly in the metastatic process (<xref rid="b6-ol-0-0-6444" ref-type="bibr">6</xref>).</p>
<p>Of note, the dysregulation of the members of miR-34 family in various types of cancer has been associated with tumorigenesis, growth and progression (<xref rid="b7-ol-0-0-6444" ref-type="bibr">7</xref>,<xref rid="b8-ol-0-0-6444" ref-type="bibr">8</xref>). For instance, miR-34a as a tumor suppressor has been identified in solid tumors including lung cancer (<xref rid="b9-ol-0-0-6444" ref-type="bibr">9</xref>), multiple myeloma (<xref rid="b10-ol-0-0-6444" ref-type="bibr">10</xref>), neuroblastoma (<xref rid="b11-ol-0-0-6444" ref-type="bibr">11</xref>,<xref rid="b12-ol-0-0-6444" ref-type="bibr">12</xref>), glioblastoma (<xref rid="b13-ol-0-0-6444" ref-type="bibr">13</xref>,<xref rid="b14-ol-0-0-6444" ref-type="bibr">14</xref>), cervical carcinoma (<xref rid="b15-ol-0-0-6444" ref-type="bibr">15</xref>), breast cancer (<xref rid="b16-ol-0-0-6444" ref-type="bibr">16</xref>) and colon cancer (<xref rid="b17-ol-0-0-6444" ref-type="bibr">17</xref>). miR-34a promotes epithelial-to-mesenchymal transition (EMT)-mediated invasion and metastasis via feedback and feedforward loops with other miRNAs and proteins (<xref rid="b18-ol-0-0-6444" ref-type="bibr">18</xref>&#x2013;<xref rid="b20-ol-0-0-6444" ref-type="bibr">20</xref>). In addition, it has been suggested that miR-34a mimics were a novel potential therapeutic agent targeting multiple myeloma and pancreatic cancer (<xref rid="b10-ol-0-0-6444" ref-type="bibr">10</xref>,<xref rid="b21-ol-0-0-6444" ref-type="bibr">21</xref>). The tumor suppressor miR-34a is a cell-fate determinant in early-stage dividing colon cancer stem cells (<xref rid="b22-ol-0-0-6444" ref-type="bibr">22</xref>&#x2013;<xref rid="b24-ol-0-0-6444" ref-type="bibr">24</xref>). It is therefore critical to investigate the regulatory function of miR-34a in cancer, including CRC.</p>
<p>In the present study, miR-34a expression was determined in colon cancer cell lines and clinical CRC samples. Functional studies on miR-34a demonstrated that it disrupted colon cancer cell growth and invasion potentially via inhibition of Notch1 and Jagged1 expression. Vimentin and fibronectin function as the downstream molecules of these pathways, contributing to progression of CRC. These studies provide novel insights into the underlying molecular mechanisms of CRC cell metastasis, highlighting the unique regulatory role of miRNAs.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Cell lines and culture</title>
<p>Human colon cancer cell lines SW480, SW620, HT29, and the human embryonic kidney HEK293 cell line were purchased from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China) and grown in RPMI-1640 medium supplemented with 10&#x0025; fetal bovine serum (FBS) (both from Hyclone, GE Healthcare Life Sciences, Logan, UT, USA), 100 U/ml penicillin G and 100 mg/ml streptomycin (both from Beyotime Institute of Biotechnology, Shanghai, China). The human colonic epithelial cell line NCM460 was purchased from INCELL Corporation LLC (San Antonio, TX, USA) and grown in M3:10 medium (INCELL Corporation LLC). The cells were cultured at 37&#x00B0;C in a 5&#x0025; CO<sub>2</sub> incubator.</p>
</sec>
<sec>
<title>Plasmids and reagents</title>
<p>Full-length Notch1 and Jagged1 cDNA lacking the 3&#x2032;-untranslated region (UTR) were purchased from GeneCopoeia (Rockville, MD, USA) and subcloned into the eukaryotic expression vector pIRES (Clontech Laboratories, Inc., Mountain View, CA, USA). The empty pIRES vector was used as a negative control. Rabbit monoclonal anti-Notch1 (cat no. EP1238Y) and anti-Jagged1 (cat no. EPR4290) were purchased from Epitomics (Abcam, Cambridge, UK), mouse monoclonal anti-GAPDH (cat no. MAB374) was purchased from EMD Millipore (Billerica, MA, USA), and mouse monoclonal anti-vimentin (cat no. sc-6260), anti-fibronectin (cat no. C6F10) and horseradish peroxidase (HRP)-conjugated goat anti-rabbit IgG (cat no. sc-2004) antibodies were purchased from Santa Cruz Biotechnology, Inc. (Dallas, TX, USA). Synthetic miR-34a mimic and negative control (NC) were purchased from GenePharma Co., Ltd. (Shanghai, China). The miR-34a LNA 5&#x2032;-digoxigenin (DIG)-labeled (cat no. 612537-340) and scrambled LNA 5&#x2032;-DIG-labeled probes (cat no. 699004-340) were purchased from Exiqon A/S (Vedbaek, Denmark). The probe sequences are as follows: miR-34a, AGG GCA GTA TAC TTG CTG AT; and scramble, GTG TAA CAC GTC TAT ACG CCC A. The probes were detected using an enhanced sensitive ISH detection kit (cat no. MK1030; Wuhan Boster Biological Technology, Ltd., Wuhan, China).</p>
</sec>
<sec>
<title>In situ hybridization (ISH)</title>
<p>A tissue microarray (TMA) containing 103 samples of human CRC tissue specimens with their matched distant normal mucosa tissues (&#x003E;10 cm away from the primary tumor) was used in the present study. The high-density CRC tissue microarray from Chinese specimens collected in March 2006 from the Third Xiangya Hospital of Central South University (Changsha, China) was constructed by the study group. Written informed consent was obtained from patients. The present study was approved by the Ethical Review Committees of the Third Xiangya Hospital of Central South University, Hunan Key Laboratory of Nonresolving Inflammation and Cancer and the Central South University (Changsha, China). Histology of all slides was reviewed by two expert pathologists. The cancer stage was made according to the TNM classification criteria (<xref rid="b25-ol-0-0-6444" ref-type="bibr">25</xref>). The TMAs (4 &#x00B5;m) were dewaxed and treated with 3&#x0025; H<sub>2</sub>O<sub>2</sub> and proteinase K to inactivate endogenous peroxidases. The slides were treated with pepsin in 3&#x0025; citric acid. The slides were hybridized at 56&#x00B0;C overnight with 50 nM miR-34a LNA or scrambled LNA. Following washing 3 times with 2X saline-sodium citrate buffer, sections were blocked in blocking buffer (cat no. MK1030; Wuhan Boster Biological Technology, Ltd.) at 37&#x00B0;C for 30 min and then incubated with 1X anti-DIG Fab fragment antibody (cat no. MK1030; Wuhan Boster Biological Technology, Ltd.) at room temperature for 2 h for the hybridization reaction. The immunoreaction was detected using 3-diaminobenzidine tetrahydrochloride (cat no. 0031; Fuzhou Maixin Biotech Co., Ltd., Fuzhou, China). The sections were counterstained with 5 g/l hematoxylin at room temperature for 3 min. Following dehydration and mounting, the sections were observed under an inverted microscope (Nikon Corporation, Tokyo, Japan) with magnifications of &#x00D7;100 or &#x00D7;200. The staining intensity of miR-34a was scored as: 0&#x2013;1, negative; 1&#x2013;2, weak; 2&#x2013;3, medium; and 3&#x2013;4, strong. The percentages of miR-34a cells in 3 representative high-power fields of individual samples were determined. The miR-34a expression was calculated in terms of the product of the intensity scores and the percentage of positive cells. Individual samples were evaluated by at least 2 blinded pathologists. Scores &#x2265;2 were used to define specimens with a high expression, and a score of &#x003C;2 indicated low expression.</p>
</sec>
<sec>
<title>miRNA target prediction</title>
<p>Potential target genes of miR-34a were predicted and analyzed using 4 web-based bioinformatics tools: TargetScan, miRWalk, <uri xlink:href="http://microRNA.org">microRNA.org</uri> and RNA22. The number of false positive predictions was markedly decreased by selecting the putative target genes that were predicted by &#x2265;2 programs.</p>
</sec>
<sec>
<title>Transient transfection of miRNA precursors</title>
<p>The SW480 cells were seeded into 6-well plates. The cells were transfected by nucleofection with 100 nM miR-34a mimic or mimic NC using HiPerFect Transfection reagent (Qiagen, Inc., Valencia, CA, USA), according to the manufacturer&#x0027;s protocol. At 48 h post-transfection, the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was performed to verify the transfection efficiency.</p>
</sec>
<sec>
<title>RT-qPCR</title>
<p>Total RNA from cells and tissues was extracted using TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA). The Hairpin-it&#x2122; MicroRNA Quantitation PCR kit was purchased from GenePharma Co., Ltd. The RT-qPCR was performed according to the manufacturer&#x0027;s protocol. At least three biological replicates were performed for each case. The qPCR analysis was performed using the iQ5 Real-Time PCR system (Bio-Rad Laboratories, Inc., Hercules, CA, USA). The miRNA PCR quantification used the 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> method (<xref rid="b26-ol-0-0-6444" ref-type="bibr">26</xref>) against U6 for normalization.</p>
<p>The expression of mRNA was evaluated using the SYBR Premix Ex Taq II (Tli RNaseH Plus) Real-Time qPCR kit (Takara Biotechnology Co., Ltd., Dalian, China). The mRNA PCR quantification used the 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> method (<xref rid="b26-ol-0-0-6444" ref-type="bibr">26</xref>) against GAPDH for normalization. The RT-qPCR primers, including E-cadherin, vimentin, fibronectin, zinc finger protein SNAI2 (Slug), zinc finger protein SNAI1 (Snail), GAPDH and zinc finger E-box-binding homeobox 1 (ZEB1), are summarized in <xref rid="tI-ol-0-0-6444" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Luciferase reporter assay</title>
<p>Human Notch1 (accession number NM_017617) and Jagged1 (NM_000214) 3&#x2032;-untranslated regions (UTRs) are predicted to contain two putative binding sites of miR-34a. Notch1 and Jagged1 wild-type (WT) 3&#x2032;-UTRs and mutant 3&#x2032;-UTRs with 6 base mutations at putative seed regions were synthesized and cloned into the pIRES vector with the restriction sites for <italic>Hin</italic>dIII and <italic>Spe</italic>I at the two ends of the oligonucleotides. The WT and mutant oligonucleotide sequences used are summarized in <xref rid="tII-ol-0-0-6444" ref-type="table">Table II</xref>. In total, 9 luciferase reporters (LR) were constructed and referred to as LR-blank (no insertion), LR-34a/Notch1w1 (where w1 indicates WT site 1), LR-34a/Notch1w2 (where w2 indicates WT site 2), LR-34a/Notch1m1 (where m1 indicates site 1 mutant), LR-34a/Notch1 m2 (where m2 indicates site 2 mutant), LR-34a/Jagged1w1, LR-34a/Jagged1w2, LR-34a/Jagged1m1 and LR-34a/Jagged1m2. HEK293 cells were cultured in RPMI-1640 medium supplemented with 10&#x0025; FBS in 24-well plates at 37&#x00B0;C overnight, and then co-transfected with 100 ng of one of the reporter plasmids and 10 pmol miR-34a mimic or mimic NC using MegaTran 1.0 Transfection reagent (OriGene Technologies, Inc., Rockville, MD, USA). At 24 h post-transfection, firefly and <italic>Renilla</italic> luciferase activities were consecutively measured using the commercial dual-luciferase reporter system (Promega Corporation, Madison, WI, USA). The <italic>Renilla</italic> luciferase signal was normalized to the firefly luciferase signal for each individual analysis.</p>
</sec>
<sec>
<title>Western blot analysis</title>
<p>Cells were lysed in radioimmunoprecipitation assay buffer containing 1&#x0025; protease inhibitor cocktail (Pierce; Thermo Fisher Scientific, Inc.). The protein concentrations in the lysates were measured using a bicinchoninic acid protein assay kit (Pierce; Thermo Fisher Scientific, Inc.). Total protein (50 &#x00B5;g/lane) was separated on a Bio-Rad Bis-Tris Gel system (Bio-Rad Laboratories, Inc.) and electrotransferred onto polyvinylidene fluoride membranes. Subsequent to blocking with 5&#x0025; bovine serum albumin (cat no. SW3015; Beijing Solarbio Science &#x0026; Technology Co., Ltd., Beijing, China) at room temperature for 1 h, the membranes were serially incubated with anti-Notch1 (1:500 dilution), anti-Jagged1, anti-vimentin (1:200 dilution), anti-fibronectin (1:500 dilution) and anti-GAPDH (1:1,000) primary antibodies at 4&#x00B0;C overnight, followed by incubation with the HRP-conjugated goat anti-rabbit IgG secondary antibody (1:1,000 dilution) at 37&#x00B0;C for 2 h. Chemiluminescence using Luminata Forte Western horseradish peroxidase substrate (Merck KGaA, Darmstadt, Germany) was visualized using a ChemiDoc XRS&#x002B; system (Bio-Rad Laboratories, Inc.). The densities of the bands were quantified using Image Lab 2.0 software (Bio-Rad Laboratories, Inc.).</p>
</sec>
<sec>
<title>Wound closure assay</title>
<p>SW480 cells (1&#x00D7;10<sup>6</sup> cells/well) were cultured overnight at 37&#x00B0;C. SW480 cells were transfected with miR-34a (or mimic NC) followed by Notch1 or Jagged1 transfection. Following the cells in the 6-well dish attaining 90&#x0025; confluence, a wound was created using a 10 &#x00B5;l pipette tip. Following washing 3 times in PBS to remove cellular debris, cells were cultured in RPMI-1640 medium with 2&#x0025; serum. Cell migration at the wound sites was documented using an inverted microscope (Nikon Corporation) with a magnification of &#x00D7;200 at the indicated time-points (0 and 48 h). Cells in 3 randomly selected areas were counted.</p>
</sec>
<sec>
<title>Invasion assay</title>
<p>Corning Costar Transwell 24-well plates (8-&#x00B5;m pores; Corning Incorporated, Corning, NY, USA) coated with BD Matrigel matrix (BD Biosciences, Franklin Lakes, NJ, USA) were maintained for 1 h at 37&#x00B0;C, followed by the addition of 1&#x00D7;10<sup>5</sup> transfected cells suspended in 200 &#x00B5;l medium with 1&#x0025; serum into the top of each well insert. Normal growth medium was added to the bottom wells. The cells were allowed to migrate for 24 h at 37&#x00B0;C. The migrated cells were fixed with 10&#x0025; methanol for 15 min. The invading cells on the lower surface of the membrane were stained with 0.5&#x0025; crystal violet for 5 min at room temperature. The stained cells were counted under a microscope (Nikon Corporation). To minimize the bias, &#x2264;5 randomly selected fields at &#x00D7;100 magnification were counted, and the average number was calculated.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using the SPSS for Windows (version 17.0; SPSS, Inc., Chicago, IL, USA) and GraphPad Prism (version 5; GraphPad Software, Inc., La Jolla, CA, USA). &#x03C7;<sup>2</sup> tests were used for categorical variables, including categorized miR-34a expression levels, clinical stage, histological differentiation, sex, age and metastasis of the colorectal tumors. Independent unpaired t-tests and one-way analysis of variance with Bonferroni post hoc testing were performed for the analysis of continuous variables in categories. Survival analysis was determined using the Kaplan-Meier estimator method. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Global repression of miR-34a expression</title>
<p>RT-qPCR was used to detect the expression of miR-34a in colon cancer cell lines SW480, SW620 and HT29, and normal colonic epithelial cell line NCM460. Compared with the normal colonic epithelial cells, miR-34a was identified to be downregulated ~2.5-fold in SW480 cells, 3-fold in HT29 cells and 6-fold in SW620 cells (<xref rid="f1-ol-0-0-6444" ref-type="fig">Fig. 1A</xref>). In addition, compared with SW480, the relatively high metastatic SW620 and HT29 cells exhibited significantly decreased miR-34a expression, particularly in SW620 cells (P=0.014).</p>
<p>To verify the altered expression of miR-34a in human colorectal carcinogenesis, ISH was first conducted to evaluate miR-34a expression levels in 103 pairs of CRC tissues and their matched adjacent normal tissues using a TMA (representative images are presented in <xref rid="f1-ol-0-0-6444" ref-type="fig">Fig. 1B</xref>). It was identified that miR-34a was apparently downregulated in the colorectal tumors compared with the normal tissues (P=0.000; <xref rid="tIII-ol-0-0-6444" ref-type="table">Table III</xref>). Next, the potential clinicopathological implications of altered miR-34a expression were assessed. Clinical samples were divided into low- and high-expression groups based on the miR-34a expression scores &#x003E;2 or &#x003C;2. Of the 103 normal colorectal samples, 88 (85&#x0025;) exhibited increased expression of miR-34a (<xref rid="tIII-ol-0-0-6444" ref-type="table">Table III</xref>). Thus, miR-34a is underexpressed in CRC tissue compared with the normal colorectal mucosa (representative images are presented in <xref rid="f1-ol-0-0-6444" ref-type="fig">Fig. 1C</xref>). In the 103 individuals with CRC, the miR-34a level was inversely associated with distant metastasis, and positively associated with differentiation and age (P=0.045, 0.010 and 0.020, respectively; <xref rid="tIII-ol-0-0-6444" ref-type="table">Table III</xref>). However, no association between miR-34a expression and sex and TNM stage was observed in patients with CRC. To additionally assess the significance of miR-34a in terms of clinical prognosis, a Kaplan-Meier estimator survival analysis was conducted using overall survival (OS). The results demonstrated that patients with a diminished miR-34a expression exhibited shorter OS times compared with patients expressing high miR-34a levels (P=0.029; <xref rid="f1-ol-0-0-6444" ref-type="fig">Fig. 1D</xref>). These data demonstrated overt downregulation of miR-34a in CRC, suggesting that the expression levels of miR-34a was associated with the metastatic potential of CRC.</p>
</sec>
<sec>
<title>miR-34a directly targets and inhibits Notch1 and Jagged1</title>
<p>The biological function of miR-34a was explored using several bioinformatics algorithms in order to identify potential miR-34a target genes. Among the candidate target genes, Notch1 and its ligand Jagged1 were identified. As presented in <xref rid="f2-ol-0-0-6444" ref-type="fig">Fig. 2A</xref>, 2 miR-34a-binding sites were identified in the 3&#x2032;-UTRs of Notch1 and Jagged1 mRNAs, with a perfect base pairing between the seed sequence of mature miR-34a and the miRNA-recognition element in the 3&#x2032;-UTRs. A number of cellular functions and biochemical processes associated with tumorigenesis are modulated by Notch signaling, including EMT, proliferation, apoptosis, adhesion and angiogenesis (<xref rid="b27-ol-0-0-6444" ref-type="bibr">27</xref>). A previous study has identified Notch1 overexpression in various solid tumors, including CRC (<xref rid="b28-ol-0-0-6444" ref-type="bibr">28</xref>). Previous studies have also suggested that miR-34a suppressed tumor invasion via the downregulation of Notch1 and Jagged1 in cervical carcinoma and choriocarcinoma cells (<xref rid="b15-ol-0-0-6444" ref-type="bibr">15</xref>). Therefore, an initial screen of the effects of miR-34a on Notch1 and Jagged1 expression was performed. Initially, miR-34a inhibition of the expression of Notch1 and Jagged1 was determined by transfecting miR-34a mimic into the SW480 cells. It was identified that the miR-34a mimic significantly decreased the mRNA and protein levels of Notch1 and Jagged1 compared with the mimic NC (<xref rid="f2-ol-0-0-6444" ref-type="fig">Fig. 2B</xref>).</p>
<p>Whether Notch1 and Jagged1 were direct targets of miR-34a was investigated using a luciferase reporter assay to test the binding of miR-34a to the 3&#x2032;-UTR of Notch1 and Jagged1. The Notch1 and Jagged1 3&#x2032;-UTRs containing the binding sites for miR-34a were subcloned into a luciferase reporter vector. The addition of an miR-34a mimic significantly suppressed the luciferase activity of the Notch1 and Jagged1 3&#x2032;-UTRs following co-transfection of the luciferase vector (WT, mutant or blank control) with the miR-34a mimic into SW480 cells (<xref rid="f2-ol-0-0-6444" ref-type="fig">Fig. 2C</xref>). Thus, these results confirm that miR-34a directly recognizes the 3&#x2032;-UTRs of the Notch1 and Jagged1 mRNAs, leading to mRNA degradation and translational inhibition.</p>
</sec>
<sec>
<title>miR-34a suppresses CRC metastasis by targeting Notch1 and Jagged1</title>
<p>Considering the aforementioned data, the role of miR-34a in the human colon cancer SW480 cell line was next investigated. The effects of miR-34a were assessed using wound-healing assays and Matrigel invasion assays following transfection of the cells with miR-34a mimic or mimic NC. It was identified that overexpressed miR-34a in SW480 cells significantly attenuated cell migration and invasion. The re-expression of Notch1 or Jagged1 (lacking an endogenous 3&#x2032;-UTR) prevented this inhibition, suggesting that miR-34a specifically targets Notch1 or Jagged1 to suppress CRC metastasis (<xref rid="f3-ol-0-0-6444" ref-type="fig">Fig. 3A and B</xref>). Previous evidence suggests that the activation of Notch1 and Jagged1 induces EMT and promoted the invasion and dissemination of cancer cells (<xref rid="b29-ol-0-0-6444" ref-type="bibr">29</xref>&#x2013;<xref rid="b31-ol-0-0-6444" ref-type="bibr">31</xref>). Therefore, whether miR-34a affected EMT was investigated. A panel of EMT markers, including epithelial cadherin, vimentin, fibronectin, Slug, Snail and ZEB1, were detected in SW480 cells following transfection with miR-34a mimic or mimic NC (<xref rid="f3-ol-0-0-6444" ref-type="fig">Fig. 3C</xref>). Significant attenuation of the mRNA expression levels of two key mesenchymal markers, vimentin and fibronectin, was observed (<xref rid="f3-ol-0-0-6444" ref-type="fig">Fig. 3C and D</xref>). In addition, the re-expression of Notch1 or Jagged1 recovered the protein expression levels of vimentin and fibronectin in miR-34a-overexpressing SW480 cells, suggesting that miR-34a suppresses CRC metastasis by targeting Notch1/Jagged1, and the downstream molecules vimentin and fibronectin.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Tumor progression in CRC is a complex process. Metastasis is the primary characteristic of malignant tumors. It is the primary cause of mortality in the majority of patients with cancer (<xref rid="b32-ol-0-0-6444" ref-type="bibr">32</xref>). miRNAs have been described as a novel class of molecular regulators of tumorigenesis (<xref rid="b33-ol-0-0-6444" ref-type="bibr">33</xref>). Previous studies have attempted to delineate their role in the regulation of metastasis and disease progression (<xref rid="b34-ol-0-0-6444" ref-type="bibr">34</xref>&#x2013;<xref rid="b36-ol-0-0-6444" ref-type="bibr">36</xref>).</p>
<p>MiR-34a is a member of a family of evolutionarily conserved miRNAs that are regulated by the tumor suppressor tumor protein 53 (<xref rid="b37-ol-0-0-6444" ref-type="bibr">37</xref>&#x2013;<xref rid="b39-ol-0-0-6444" ref-type="bibr">39</xref>). Tazawa <italic>et al</italic> (<xref rid="b17-ol-0-0-6444" ref-type="bibr">17</xref>) have suggested that miR-34a expression levels were downregulated by 36&#x0025; in CRC relative to their levels in normal tissues, although the underlying molecular mechanism for tumorigenesis remains unclear. Previously, Liu <italic>et al</italic> (<xref rid="b40-ol-0-0-6444" ref-type="bibr">40</xref>) identified that miR-34a inhibited prostate cancer stem cells and metastasis by directly repressing cluster of differentiation 44 expression. It was also demonstrated that miR-34a inhibits colon cancer cell migration and invasion by targeting Fra-1 (<xref rid="b41-ol-0-0-6444" ref-type="bibr">41</xref>). In addition, it was suggested that miR-34a serves a key role in tumor cell responses to chemotherapeutic agents, and may serve as a target for antitumor therapy (<xref rid="b10-ol-0-0-6444" ref-type="bibr">10</xref>,<xref rid="b42-ol-0-0-6444" ref-type="bibr">42</xref>). In the present study, by assaying the expression of miR-34a in CRC cell lines and clinical specimens, it was confirmed that miR-34a was downregulated in CRC samples compared with normal tissues, and the levels of miR-34a expression were identified to be inversely associated with tumor metastasis. Additionally, it was demonstrated that increased survival was associated with high expression levels of miR-34a.</p>
<p>A previous study confirmed that miR-34a targeted multiple key pathways including the hepatocyte growth factor/c-Met pathway, E2F pathway and cell cycle regulator cyclin-dependent kinase 6 (<xref rid="b17-ol-0-0-6444" ref-type="bibr">17</xref>). However, the precise underlying molecular mechanism for the role of miR-34a in colorectal tumorigenesis remains unclear. Among the regulatory mechanisms targeted by miR-34a, the Notch pathway serves a prominent role in cell fate determination during cancer proliferation, apoptosis, invasion and metastasis (<xref rid="b43-ol-0-0-6444" ref-type="bibr">43</xref>). There are 4 Notch receptors (Notch1-4) and 5 Notch ligands (&#x03B4;-like-1, &#x2212;3 and &#x2212;4, and Jagged1 and 2) in mammals. Following specific ligand binding, the intracellular part of the Notch receptor is cleaved and translocated to the nucleus, where it binds to the transcription factor recombining binding protein for immunoglobulin &#x03BA; J region to activate Notch target genes (<xref rid="b44-ol-0-0-6444" ref-type="bibr">44</xref>,<xref rid="b45-ol-0-0-6444" ref-type="bibr">45</xref>). Notch1 is one of the Notch receptors involved in Notch signaling, which serves a key role in the regulation of a number of fundamental cellular processes, including proliferation, stem cell maintenance, differentiation and EMT (<xref rid="b27-ol-0-0-6444" ref-type="bibr">27</xref>,<xref rid="b46-ol-0-0-6444" ref-type="bibr">46</xref>). Notch1 and Jagged1 are key factors in the regulation of survival and invasion in a wide variety of cancers including gastric, salivary, pancreatic and neuroendocrine tumors, and adenoid cystic carcinoma and CRC (<xref rid="b47-ol-0-0-6444" ref-type="bibr">47</xref>&#x2013;<xref rid="b50-ol-0-0-6444" ref-type="bibr">50</xref>). The luciferase activity assays of the present study demonstrated that miR-34a binds to the 3&#x2032;-UTRs of Notch1 and Jagged1. Additionally, when miR-34a oligonucleotides were transfected into CRC cells, an inverse expression pattern was observed between miR-34a and Notch1 and Jagged1 at the gene and protein levels, implying that miR-34a targets Notch1 and Jagged1 through translational arrest and mRNA degradation. Thus, it was concluded that miR-34a directly targets Notch1 and Jagged1 in CRC cells.</p>
<p>Considering that miR-34a and Notch1/Jagged1 are closely associated with tumor invasion and metastasis, the effects of miR-34a on these phenotypes in CRC cells were also investigated. miR-34a overexpression in SW480 cells markedly attenuated the cell migratory and invasive abilities, whereas the overexpression of Notch1 or Jagged1 rescued the miR-34a inhibition of cell migration and invasion caused by miR-34a, suggesting that miR-34a regulation of CRC invasion and metastasis is a consequence of targeting upstream Notch signaling. In addition, an overexpression of miR-34a decreased the expression of mesenchymal markers, vimentin and fibronectin in colon cancer cells. The expression of Notch1 or Jagged1 in SW480 cells recovered the protein expression of vimentin and fibronectin by miR-34a. It is possible that miR-34a suppresses CRC metastasis by targeting Notch1/Jagged1 and the vimentin and fibronectin downstream.</p>
<p>In conclusion, the results of present study support the miR-34a-mediated suppression of metastasis in CRC by targeting Notch1/Jagged1 and their downstream molecules vimentin and fibronectin. However, additional studies including <italic>in vivo</italic> assays are needed to confirm the understanding of miR-34a regulation in CRC tumorigenesis and metastasis. In addition, due to the multiple gene targets involved, miR-34a regulation of Notch signaling and the associated pathways require comprehensive investigation.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The present study was supported by the National Natural Science Foundation of China (grant no. 81472286).</p>
</ack>
<ref-list>
<title>References</title>
<ref id="b1-ol-0-0-6444"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Miller</surname><given-names>KD</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Cancer statistics. 2016</article-title><source>CA Cancer J Clin</source><volume>66</volume><fpage>7</fpage><lpage>30</lpage><year>2016</year><pub-id pub-id-type="doi">10.3322/caac.21332</pub-id><pub-id pub-id-type="pmid">26742998</pub-id></element-citation></ref>
<ref id="b2-ol-0-0-6444"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Siegel</surname><given-names>R</given-names></name><name><surname>Naishadham</surname><given-names>D</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Cancer statistics, 2012</article-title><source>CA Cancer J Clin</source><volume>62</volume><fpage>10</fpage><lpage>29</lpage><year>2012</year><pub-id pub-id-type="doi">10.3322/caac.20138</pub-id><pub-id pub-id-type="pmid">22237781</pub-id></element-citation></ref>
<ref id="b3-ol-0-0-6444"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Van Cutsem</surname><given-names>E</given-names></name><name><surname>Nordlinger</surname><given-names>B</given-names></name><name><surname>Adam</surname><given-names>R</given-names></name><name><surname>K&#x00F6;hne</surname><given-names>CH</given-names></name><name><surname>Pozzo</surname><given-names>C</given-names></name><name><surname>Poston</surname><given-names>G</given-names></name><name><surname>Ychou</surname><given-names>M</given-names></name><name><surname>Rougier</surname><given-names>P</given-names></name><collab collab-type="corp-author">European Colorectal Metastases Treatment Group</collab></person-group><article-title>Towards a pan-European consensus on the treatment of patients with colorectal liver metastases</article-title><source>Eur J Cancer</source><volume>42</volume><fpage>2212</fpage><lpage>2221</lpage><year>2006</year><pub-id pub-id-type="doi">10.1016/j.ejca.2006.04.012</pub-id><pub-id pub-id-type="pmid">16904315</pub-id></element-citation></ref>
<ref id="b4-ol-0-0-6444"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Davies</surname><given-names>RJ</given-names></name><name><surname>Miller</surname><given-names>R</given-names></name><name><surname>Coleman</surname><given-names>N</given-names></name></person-group><article-title>Colorectal cancer screening: Prospects for molecular stool analysis</article-title><source>Nat Rev Cancer</source><volume>5</volume><fpage>199</fpage><lpage>209</lpage><year>2005</year><pub-id pub-id-type="doi">10.1038/nrc1569</pub-id><pub-id pub-id-type="pmid">15738983</pub-id></element-citation></ref>
<ref id="b5-ol-0-0-6444"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ambros</surname><given-names>V</given-names></name></person-group><article-title>The functions of animal microRNAs</article-title><source>Nature</source><volume>431</volume><fpage>350</fpage><lpage>355</lpage><year>2004</year><pub-id pub-id-type="doi">10.1038/nature02871</pub-id><pub-id pub-id-type="pmid">15372042</pub-id></element-citation></ref>
<ref id="b6-ol-0-0-6444"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schee</surname><given-names>K</given-names></name><name><surname>Boye</surname><given-names>K</given-names></name><name><surname>Abrahamsen</surname><given-names>TW</given-names></name><name><surname>Fodstad</surname><given-names>&#x00D8;</given-names></name><name><surname>Flatmark</surname><given-names>K</given-names></name></person-group><article-title>Clinical relevance of microRNA miR-21, miR-31, miR-92a, miR-101, miR-106a and miR-145 in colorectal cancer</article-title><source>BMC Cancer</source><volume>12</volume><fpage>505</fpage><year>2012</year><pub-id pub-id-type="doi">10.1186/1471-2407-12-505</pub-id><pub-id pub-id-type="pmid">23121918</pub-id></element-citation></ref>
<ref id="b7-ol-0-0-6444"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>R</given-names></name><name><surname>Ma</surname><given-names>J</given-names></name><name><surname>Wu</surname><given-names>Q</given-names></name><name><surname>Xia</surname><given-names>J</given-names></name><name><surname>Miele</surname><given-names>L</given-names></name><name><surname>Sarkar</surname><given-names>FH</given-names></name><name><surname>Wang</surname><given-names>Z</given-names></name></person-group><article-title>Functional role of miR-34 family in human cancer</article-title><source>Curr Drug Targets</source><volume>14</volume><fpage>1185</fpage><lpage>1191</lpage><year>2013</year><pub-id pub-id-type="doi">10.2174/13894501113149990191</pub-id><pub-id pub-id-type="pmid">23834144</pub-id></element-citation></ref>
<ref id="b8-ol-0-0-6444"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Agostini</surname><given-names>M</given-names></name><name><surname>Knight</surname><given-names>RA</given-names></name></person-group><article-title>miR-34: From bench to bedside</article-title><source>Oncotarget</source><volume>5</volume><fpage>872</fpage><lpage>881</lpage><year>2014</year><pub-id pub-id-type="doi">10.18632/oncotarget.1825</pub-id><pub-id pub-id-type="pmid">24657911</pub-id></element-citation></ref>
<ref id="b9-ol-0-0-6444"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wiggins</surname><given-names>JF</given-names></name><name><surname>Ruffino</surname><given-names>L</given-names></name><name><surname>Kelnar</surname><given-names>K</given-names></name><name><surname>Omotola</surname><given-names>M</given-names></name><name><surname>Patrawala</surname><given-names>L</given-names></name><name><surname>Brown</surname><given-names>D</given-names></name><name><surname>Bader</surname><given-names>AG</given-names></name></person-group><article-title>Development of a lung cancer therapeutic based on the tumor suppressor microRNA-34</article-title><source>Cancer Res</source><volume>70</volume><fpage>5923</fpage><lpage>5930</lpage><year>2010</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-10-0655</pub-id><pub-id pub-id-type="pmid">20570894</pub-id></element-citation></ref>
<ref id="b10-ol-0-0-6444"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Di Martino</surname><given-names>MT</given-names></name><name><surname>Leone</surname><given-names>E</given-names></name><name><surname>Amodio</surname><given-names>N</given-names></name><name><surname>Foresta</surname><given-names>U</given-names></name><name><surname>Lionetti</surname><given-names>M</given-names></name><name><surname>Pitari</surname><given-names>MR</given-names></name><name><surname>Cantafio</surname><given-names>ME</given-names></name><name><surname>Gull&#x00E0;</surname><given-names>A</given-names></name><name><surname>Conforti</surname><given-names>F</given-names></name><name><surname>Morelli</surname><given-names>E</given-names></name><etal/></person-group><article-title>Synthetic miR-34a mimics as a novel therapeutic agent for multiple myeloma: In vitro and in vivo evidence</article-title><source>Clin Cancer Res</source><volume>18</volume><fpage>6260</fpage><lpage>6270</lpage><year>2012</year><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-12-1708</pub-id><pub-id pub-id-type="pmid">23035210</pub-id></element-citation></ref>
<ref id="b11-ol-0-0-6444"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Welch</surname><given-names>C</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Stallings</surname><given-names>RL</given-names></name></person-group><article-title>MicroRNA-34a functions as a potential tumor suppressor by inducing apoptosis in neuroblastoma cells</article-title><source>Oncogene</source><volume>26</volume><fpage>5017</fpage><lpage>5022</lpage><year>2007</year><pub-id pub-id-type="doi">10.1038/sj.onc.1210293</pub-id><pub-id pub-id-type="pmid">17297439</pub-id></element-citation></ref>
<ref id="b12-ol-0-0-6444"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cole</surname><given-names>KA</given-names></name><name><surname>Attiyeh</surname><given-names>EF</given-names></name><name><surname>Mosse</surname><given-names>YP</given-names></name><name><surname>Laquaglia</surname><given-names>MJ</given-names></name><name><surname>Diskin</surname><given-names>SJ</given-names></name><name><surname>Brodeur</surname><given-names>GM</given-names></name><name><surname>Maris</surname><given-names>JM</given-names></name></person-group><article-title>A functional screen identifies miR-34a as a candidate neuroblastoma tumor suppressor gene</article-title><source>Mol Cancer Res</source><volume>6</volume><fpage>735</fpage><lpage>742</lpage><year>2008</year><pub-id pub-id-type="doi">10.1158/1541-7786.MCR-07-2102</pub-id><pub-id pub-id-type="pmid">18505919</pub-id></element-citation></ref>
<ref id="b13-ol-0-0-6444"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Guessous</surname><given-names>F</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Dipierro</surname><given-names>C</given-names></name><name><surname>Kefas</surname><given-names>B</given-names></name><name><surname>Johnson</surname><given-names>E</given-names></name><name><surname>Marcinkiewicz</surname><given-names>L</given-names></name><name><surname>Jiang</surname><given-names>J</given-names></name><name><surname>Yang</surname><given-names>Y</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name><etal/></person-group><article-title>MicroRNA-34a inhibits glioblastoma growth by targeting multiple oncogenes</article-title><source>Cancer Res</source><volume>69</volume><fpage>7569</fpage><lpage>7576</lpage><year>2009</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-09-0529</pub-id><pub-id pub-id-type="pmid">19773441</pub-id></element-citation></ref>
<ref id="b14-ol-0-0-6444"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>WB</given-names></name><name><surname>Ma</surname><given-names>MW</given-names></name><name><surname>Dong</surname><given-names>LJ</given-names></name><name><surname>Wang</surname><given-names>F</given-names></name><name><surname>Chen</surname><given-names>LX</given-names></name><name><surname>Li</surname><given-names>XR</given-names></name></person-group><article-title>MicroRNA-34a targets notch1 and inhibits cell proliferation in glioblastoma multiforme</article-title><source>Cancer Biol Ther</source><volume>12</volume><fpage>477</fpage><lpage>483</lpage><year>2011</year><pub-id pub-id-type="doi">10.4161/cbt.12.6.16300</pub-id><pub-id pub-id-type="pmid">21743299</pub-id></element-citation></ref>
<ref id="b15-ol-0-0-6444"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pang</surname><given-names>RT</given-names></name><name><surname>Leung</surname><given-names>CO</given-names></name><name><surname>Ye</surname><given-names>TM</given-names></name><name><surname>Liu</surname><given-names>W</given-names></name><name><surname>Chiu</surname><given-names>PC</given-names></name><name><surname>Lam</surname><given-names>KK</given-names></name><name><surname>Lee</surname><given-names>KF</given-names></name><name><surname>Yeung</surname><given-names>WS</given-names></name></person-group><article-title>MicroRNA-34a suppresses invasion through downregulation of Notch1 and Jagged1 in cervical carcinoma and choriocarcinoma cells</article-title><source>Carcinogenesis</source><volume>31</volume><fpage>1037</fpage><lpage>1044</lpage><year>2010</year><pub-id pub-id-type="doi">10.1093/carcin/bgq066</pub-id><pub-id pub-id-type="pmid">20351093</pub-id></element-citation></ref>
<ref id="b16-ol-0-0-6444"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>S</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Gao</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>T</given-names></name><name><surname>Li</surname><given-names>S</given-names></name><name><surname>Luo</surname><given-names>A</given-names></name><name><surname>Chen</surname><given-names>H</given-names></name><name><surname>Ding</surname><given-names>F</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Liu</surname><given-names>Z</given-names></name></person-group><article-title>MicroRNA-34 suppresses breast cancer invasion and metastasis by directly targeting Fra-1</article-title><source>Oncogene</source><volume>32</volume><fpage>4294</fpage><lpage>4303</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/onc.2012.432</pub-id><pub-id pub-id-type="pmid">23001043</pub-id></element-citation></ref>
<ref id="b17-ol-0-0-6444"><label>17</label><element-citation publication-type="conference"><person-group person-group-type="author"><name><surname>Tazawa</surname><given-names>H</given-names></name><name><surname>Tsuchiya</surname><given-names>N</given-names></name><name><surname>Izumiya</surname><given-names>M</given-names></name><name><surname>Nakagama</surname><given-names>H</given-names></name></person-group><article-title>Tumor-suppressive miR-34a induces senescence-like growth arrest through modulation of the E2F pathway in human colon cancer cells</article-title><source>Proc Natl Acad Sci USA</source><volume>104</volume><fpage>15472</fpage><lpage>15477</lpage><conf-date>2007</conf-date><pub-id pub-id-type="doi">10.1073/pnas.0707351104</pub-id><pub-id pub-id-type="pmid">17875987</pub-id></element-citation></ref>
<ref id="b18-ol-0-0-6444"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lefort</surname><given-names>K</given-names></name><name><surname>Brooks</surname><given-names>Y</given-names></name><name><surname>Ostano</surname><given-names>P</given-names></name><name><surname>Cario-Andr&#x00E9;</surname><given-names>M</given-names></name><name><surname>Calpini</surname><given-names>V</given-names></name><name><surname>Guinea-Viniegra</surname><given-names>J</given-names></name><name><surname>Albinger-Hegyi</surname><given-names>A</given-names></name><name><surname>Hoetzenecker</surname><given-names>W</given-names></name><name><surname>Kolfschoten</surname><given-names>I</given-names></name><name><surname>Wagner</surname><given-names>EF</given-names></name><etal/></person-group><article-title>A miR-34a-SIRT6 axis in the squamous cell differentiation network</article-title><source>EMBO J</source><volume>32</volume><fpage>2248</fpage><lpage>2263</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/emboj.2013.156</pub-id><pub-id pub-id-type="pmid">23860128</pub-id></element-citation></ref>
<ref id="b19-ol-0-0-6444"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rokavec</surname><given-names>M</given-names></name><name><surname>&#x00D6;ner</surname><given-names>MG</given-names></name><name><surname>Li</surname><given-names>H</given-names></name><name><surname>Jackstadt</surname><given-names>R</given-names></name><name><surname>Jiang</surname><given-names>L</given-names></name><name><surname>Lodygin</surname><given-names>D</given-names></name><name><surname>Kaller</surname><given-names>M</given-names></name><name><surname>Horst</surname><given-names>D</given-names></name><name><surname>Ziegler</surname><given-names>PK</given-names></name><name><surname>Schwitalla</surname><given-names>S</given-names></name><etal/></person-group><article-title>IL-6R/STAT3/miR-34a feedback loop promotes EMT-mediated colorectal cancer invasion and metastasis</article-title><source>J Clin Invest</source><volume>124</volume><fpage>1853</fpage><lpage>1867</lpage><year>2014</year><pub-id pub-id-type="doi">10.1172/JCI73531</pub-id><pub-id pub-id-type="pmid">24642471</pub-id></element-citation></ref>
<ref id="b20-ol-0-0-6444"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hahn</surname><given-names>S</given-names></name><name><surname>Jackstadt</surname><given-names>R</given-names></name><name><surname>Siemens</surname><given-names>H</given-names></name><name><surname>H&#x00FC;nten</surname><given-names>S</given-names></name><name><surname>Hermeking</surname><given-names>H</given-names></name></person-group><article-title>SNAIL and miR-34a feed-forward regulation of ZNF281/ZBP99 promotes epithelial-mesenchymal transition</article-title><source>EMBO J</source><volume>32</volume><fpage>3079</fpage><lpage>3095</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/emboj.2013.236</pub-id><pub-id pub-id-type="pmid">24185900</pub-id></element-citation></ref>
<ref id="b21-ol-0-0-6444"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nalls</surname><given-names>D</given-names></name><name><surname>Tang</surname><given-names>SN</given-names></name><name><surname>Rodova</surname><given-names>M</given-names></name><name><surname>Srivastava</surname><given-names>RK</given-names></name><name><surname>Shankar</surname><given-names>S</given-names></name></person-group><article-title>Targeting epigenetic regulation of miR-34a for treatment of pancreatic cancer by inhibition of pancreatic cancer stem cells</article-title><source>PLoS One</source><volume>6</volume><fpage>e24099</fpage><year>2011</year><pub-id pub-id-type="doi">10.1371/journal.pone.0024099</pub-id><pub-id pub-id-type="pmid">21909380</pub-id></element-citation></ref>
<ref id="b22-ol-0-0-6444"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bu</surname><given-names>P</given-names></name><name><surname>Chen</surname><given-names>KY</given-names></name><name><surname>Chen</surname><given-names>JH</given-names></name><name><surname>Wang</surname><given-names>L</given-names></name><name><surname>Walters</surname><given-names>J</given-names></name><name><surname>Shin</surname><given-names>YJ</given-names></name><name><surname>Goerger</surname><given-names>JP</given-names></name><name><surname>Sun</surname><given-names>J</given-names></name><name><surname>Witherspoon</surname><given-names>M</given-names></name><name><surname>Rakhilin</surname><given-names>N</given-names></name><etal/></person-group><article-title>A microRNA miR-34a-regulated bimodal switch targets Notch in colon cancer stem cells</article-title><source>Cell Stem Cell</source><volume>12</volume><fpage>602</fpage><lpage>615</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.stem.2013.03.002</pub-id><pub-id pub-id-type="pmid">23642368</pub-id></element-citation></ref>
<ref id="b23-ol-0-0-6444"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname><given-names>CY</given-names></name><name><surname>Hwang</surname><given-names>CI</given-names></name><name><surname>Corney</surname><given-names>DC</given-names></name><name><surname>Flesken-Nikitin</surname><given-names>A</given-names></name><name><surname>Jiang</surname><given-names>L</given-names></name><name><surname>Oner</surname><given-names>GM</given-names></name><name><surname>Munroe</surname><given-names>RJ</given-names></name><name><surname>Schimenti</surname><given-names>JC</given-names></name><name><surname>Hermeking</surname><given-names>H</given-names></name><name><surname>Nikitin</surname><given-names>AY</given-names></name></person-group><article-title>miR-34 cooperates with p53 in suppression of prostate cancer by joint regulation of stem cell compartment</article-title><source>Cell Rep</source><volume>6</volume><fpage>1000</fpage><lpage>1007</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.celrep.2014.02.023</pub-id><pub-id pub-id-type="pmid">24630988</pub-id></element-citation></ref>
<ref id="b24-ol-0-0-6444"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>C</given-names></name><name><surname>Tang</surname><given-names>DG</given-names></name></person-group><article-title>MicroRNA regulation of cancer stem cells</article-title><source>Cancer Res</source><volume>71</volume><fpage>5950</fpage><lpage>5954</lpage><year>2011</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-11-1035</pub-id><pub-id pub-id-type="pmid">21917736</pub-id></element-citation></ref>
<ref id="b25-ol-0-0-6444"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wittekind</surname><given-names>C</given-names></name></person-group><article-title>2010 TNM system: On the 7th edition of TNM classification of malignant tumors</article-title><source>Pathologe</source><volume>31</volume><fpage>331</fpage><lpage>332</lpage><year>2010</year><comment>(In German)</comment><pub-id pub-id-type="doi">10.1007/s00292-010-1349-3</pub-id><pub-id pub-id-type="pmid">20703480</pub-id></element-citation></ref>
<ref id="b26-ol-0-0-6444"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(&#x2212;Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id><pub-id pub-id-type="pmid">11846609</pub-id></element-citation></ref>
<ref id="b27-ol-0-0-6444"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Leong</surname><given-names>KG</given-names></name><name><surname>Karsan</surname><given-names>A</given-names></name></person-group><article-title>Recent insights into the role of Notch signaling in tumorigenesis</article-title><source>Blood</source><volume>107</volume><fpage>2223</fpage><lpage>2233</lpage><year>2006</year><pub-id pub-id-type="doi">10.1182/blood-2005-08-3329</pub-id><pub-id pub-id-type="pmid">16291593</pub-id></element-citation></ref>
<ref id="b28-ol-0-0-6444"><label>28</label><element-citation publication-type="conference"><person-group person-group-type="author"><name><surname>Zagouras</surname><given-names>P</given-names></name><name><surname>Stifani</surname><given-names>S</given-names></name><name><surname>Blaumueller</surname><given-names>CM</given-names></name><name><surname>Carcangiu</surname><given-names>ML</given-names></name><name><surname>Artavanis-Tsakonas</surname><given-names>S</given-names></name></person-group><article-title>Alterations in Notch signaling in neoplastic lesions of the human cervix</article-title><source>Proc Natl Acad Sci USA</source><volume>92</volume><fpage>6414</fpage><lpage>6418</lpage><conf-date>1995</conf-date><pub-id pub-id-type="doi">10.1073/pnas.92.14.6414</pub-id><pub-id pub-id-type="pmid">7604005</pub-id></element-citation></ref>
<ref id="b29-ol-0-0-6444"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Du</surname><given-names>R</given-names></name><name><surname>Sun</surname><given-names>W</given-names></name><name><surname>Xia</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>A</given-names></name><name><surname>Yu</surname><given-names>Y</given-names></name><name><surname>Zhao</surname><given-names>L</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Huang</surname><given-names>C</given-names></name><name><surname>Sun</surname><given-names>S</given-names></name></person-group><article-title>Hypoxia-induced down-regulation of microRNA-34a promotes EMT by targeting the Notch signaling pathway in tubular epithelial cells</article-title><source>PLoS One</source><volume>7</volume><fpage>e30771</fpage><year>2012</year><pub-id pub-id-type="doi">10.1371/journal.pone.0030771</pub-id><pub-id pub-id-type="pmid">22363487</pub-id></element-citation></ref>
<ref id="b30-ol-0-0-6444"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Wu</surname><given-names>B</given-names></name><name><surname>Chamberlain</surname><given-names>AA</given-names></name><name><surname>Lui</surname><given-names>W</given-names></name><name><surname>Koirala</surname><given-names>P</given-names></name><name><surname>Susztak</surname><given-names>K</given-names></name><name><surname>Klein</surname><given-names>D</given-names></name><name><surname>Taylor</surname><given-names>V</given-names></name><name><surname>Zhou</surname><given-names>B</given-names></name></person-group><article-title>Endocardial to myocardial notch-wnt-bmp axis regulates early heart valve development</article-title><source>PLoS One</source><volume>8</volume><fpage>e60244</fpage><year>2013</year><pub-id pub-id-type="doi">10.1371/journal.pone.0060244</pub-id><pub-id pub-id-type="pmid">23560082</pub-id></element-citation></ref>
<ref id="b31-ol-0-0-6444"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zavadil</surname><given-names>J</given-names></name><name><surname>Cermak</surname><given-names>L</given-names></name><name><surname>Soto-Nieves</surname><given-names>N</given-names></name><name><surname>B&#x00F6;ttinger</surname><given-names>EP</given-names></name></person-group><article-title>Integration of TGF-beta/Smad and Jagged1/Notch signalling in epithelial-to-mesenchymal transition</article-title><source>EMBO J</source><volume>23</volume><fpage>1155</fpage><lpage>1165</lpage><year>2004</year><pub-id pub-id-type="doi">10.1038/sj.emboj.7600069</pub-id><pub-id pub-id-type="pmid">14976548</pub-id></element-citation></ref>
<ref id="b32-ol-0-0-6444"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hanahan</surname><given-names>D</given-names></name><name><surname>Weinberg</surname><given-names>RA</given-names></name></person-group><article-title>Hallmarks of cancer: The next generation</article-title><source>Cell</source><volume>144</volume><fpage>646</fpage><lpage>674</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.cell.2011.02.013</pub-id><pub-id pub-id-type="pmid">21376230</pub-id></element-citation></ref>
<ref id="b33-ol-0-0-6444"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Di Leva</surname><given-names>G</given-names></name><name><surname>Garofalo</surname><given-names>M</given-names></name><name><surname>Croce</surname><given-names>CM</given-names></name></person-group><article-title>MicroRNAs in cancer</article-title><source>Annu Rev Pathol</source><volume>9</volume><fpage>287</fpage><lpage>314</lpage><year>2014</year><pub-id pub-id-type="doi">10.1146/annurev-pathol-012513-104715</pub-id><pub-id pub-id-type="pmid">24079833</pub-id></element-citation></ref>
<ref id="b34-ol-0-0-6444"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Asangani</surname><given-names>IA</given-names></name><name><surname>Rasheed</surname><given-names>SA</given-names></name><name><surname>Nikolova</surname><given-names>DA</given-names></name><name><surname>Leupold</surname><given-names>JH</given-names></name><name><surname>Colburn</surname><given-names>NH</given-names></name><name><surname>Post</surname><given-names>S</given-names></name><name><surname>Allgayer</surname><given-names>H</given-names></name></person-group><article-title>MicroRNA-21 (miR-21) post-transcriptionally downregulates tumor suppressor Pdcd4 and stimulates invasion, intravasation and metastasis in colorectal cancer</article-title><source>Oncogene</source><volume>27</volume><fpage>2128</fpage><lpage>2136</lpage><year>2008</year><pub-id pub-id-type="doi">10.1038/sj.onc.1210856</pub-id><pub-id pub-id-type="pmid">17968323</pub-id></element-citation></ref>
<ref id="b35-ol-0-0-6444"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname><given-names>L</given-names></name><name><surname>Teruya-Feldstein</surname><given-names>J</given-names></name><name><surname>Weinberg</surname><given-names>RA</given-names></name></person-group><article-title>Tumour invasion and metastasis initiated by microRNA-10b in breast cancer</article-title><source>Nature</source><volume>449</volume><fpage>682</fpage><lpage>688</lpage><year>2007</year><pub-id pub-id-type="doi">10.1038/nature06174</pub-id><pub-id pub-id-type="pmid">17898713</pub-id></element-citation></ref>
<ref id="b36-ol-0-0-6444"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Valastyan</surname><given-names>S</given-names></name><name><surname>Reinhardt</surname><given-names>F</given-names></name><name><surname>Benaich</surname><given-names>N</given-names></name><name><surname>Calogrias</surname><given-names>D</given-names></name><name><surname>Sz&#x00E1;sz</surname><given-names>AM</given-names></name><name><surname>Wang</surname><given-names>ZC</given-names></name><name><surname>Brock</surname><given-names>JE</given-names></name><name><surname>Richardson</surname><given-names>AL</given-names></name><name><surname>Weinberg</surname><given-names>RA</given-names></name></person-group><article-title>A pleiotropically acting microRNA, miR-31, inhibits breast cancer metastasis</article-title><source>Cell</source><volume>137</volume><fpage>1032</fpage><lpage>1046</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.cell.2009.03.047</pub-id><pub-id pub-id-type="pmid">19524507</pub-id></element-citation></ref>
<ref id="b37-ol-0-0-6444"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hermeking</surname><given-names>H</given-names></name></person-group><article-title>The miR-34 family in cancer and apoptosis</article-title><source>Cell Death Differ</source><volume>17</volume><fpage>193</fpage><lpage>199</lpage><year>2010</year><pub-id pub-id-type="doi">10.1038/cdd.2009.56</pub-id><pub-id pub-id-type="pmid">19461653</pub-id></element-citation></ref>
<ref id="b38-ol-0-0-6444"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hermeking</surname><given-names>H</given-names></name></person-group><article-title>p53 enters the microRNA world</article-title><source>Cancer Cell</source><volume>12</volume><fpage>414</fpage><lpage>418</lpage><year>2007</year><pub-id pub-id-type="doi">10.1016/j.ccr.2007.10.028</pub-id><pub-id pub-id-type="pmid">17996645</pub-id></element-citation></ref>
<ref id="b39-ol-0-0-6444"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname><given-names>TC</given-names></name><name><surname>Wentzel</surname><given-names>EA</given-names></name><name><surname>Kent</surname><given-names>OA</given-names></name><name><surname>Ramachandran</surname><given-names>K</given-names></name><name><surname>Mullendore</surname><given-names>M</given-names></name><name><surname>Lee</surname><given-names>KH</given-names></name><name><surname>Feldmann</surname><given-names>G</given-names></name><name><surname>Yamakuchi</surname><given-names>M</given-names></name><name><surname>Ferlito</surname><given-names>M</given-names></name><name><surname>Lowenstein</surname><given-names>CJ</given-names></name><etal/></person-group><article-title>Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis</article-title><source>Mol Cell</source><volume>26</volume><fpage>745</fpage><lpage>752</lpage><year>2007</year><pub-id pub-id-type="doi">10.1016/j.molcel.2007.05.010</pub-id><pub-id pub-id-type="pmid">17540599</pub-id></element-citation></ref>
<ref id="b40-ol-0-0-6444"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>C</given-names></name><name><surname>Kelnar</surname><given-names>K</given-names></name><name><surname>Liu</surname><given-names>B</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Calhoun-Davis</surname><given-names>T</given-names></name><name><surname>Li</surname><given-names>H</given-names></name><name><surname>Patrawala</surname><given-names>L</given-names></name><name><surname>Yan</surname><given-names>H</given-names></name><name><surname>Jeter</surname><given-names>C</given-names></name><name><surname>Honorio</surname><given-names>S</given-names></name><etal/></person-group><article-title>The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44</article-title><source>Nat Med</source><volume>2</volume><fpage>211</fpage><lpage>215</lpage><year>2011</year><pub-id pub-id-type="doi">10.1038/nm.2284</pub-id></element-citation></ref>
<ref id="b41-ol-0-0-6444"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>J</given-names></name><name><surname>Wu</surname><given-names>G</given-names></name><name><surname>Lv</surname><given-names>L</given-names></name><name><surname>Ren</surname><given-names>YF</given-names></name><name><surname>Zhang</surname><given-names>XJ</given-names></name><name><surname>Xue</surname><given-names>YF</given-names></name><name><surname>Li</surname><given-names>G</given-names></name><name><surname>Lu</surname><given-names>X</given-names></name><name><surname>Sun</surname><given-names>Z</given-names></name><name><surname>Tang</surname><given-names>KF</given-names></name></person-group><article-title>MicroRNA-34a inhibits migration and invasion of colon cancer cells via targeting to Fra-1</article-title><source>Carcinogenesis</source><volume>33</volume><fpage>519</fpage><lpage>528</lpage><year>2012</year><pub-id pub-id-type="doi">10.1093/carcin/bgr304</pub-id><pub-id pub-id-type="pmid">22198213</pub-id></element-citation></ref>
<ref id="b42-ol-0-0-6444"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>XJ</given-names></name><name><surname>Ren</surname><given-names>ZJ</given-names></name><name><surname>Tang</surname><given-names>JH</given-names></name></person-group><article-title>MicroRNA-34a: A potential therapeutic target in human cancer</article-title><source>Cell Death Dis</source><volume>5</volume><fpage>e1327</fpage><year>2014</year><pub-id pub-id-type="doi">10.1038/cddis.2014.270</pub-id><pub-id pub-id-type="pmid">25032850</pub-id></element-citation></ref>
<ref id="b43-ol-0-0-6444"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ntziachristos</surname><given-names>P</given-names></name><name><surname>Lim</surname><given-names>JS</given-names></name><name><surname>Sage</surname><given-names>J</given-names></name><name><surname>Aifantis</surname><given-names>I</given-names></name></person-group><article-title>From fly wings to targeted cancer therapies: A centennial for notch signaling</article-title><source>Cancer Cell</source><volume>25</volume><fpage>318</fpage><lpage>334</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.ccr.2014.02.018</pub-id><pub-id pub-id-type="pmid">24651013</pub-id></element-citation></ref>
<ref id="b44-ol-0-0-6444"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Artavanis-Tsakonas</surname><given-names>S</given-names></name><name><surname>Rand</surname><given-names>MD</given-names></name><name><surname>Lake</surname><given-names>RJ</given-names></name></person-group><article-title>Notch signaling: Cell fate control and signal integration in development</article-title><source>Science</source><volume>284</volume><fpage>770</fpage><lpage>776</lpage><year>1999</year><pub-id pub-id-type="doi">10.1126/science.284.5415.770</pub-id><pub-id pub-id-type="pmid">10221902</pub-id></element-citation></ref>
<ref id="b45-ol-0-0-6444"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kopan</surname><given-names>R</given-names></name><name><surname>Ilagan</surname><given-names>MX</given-names></name></person-group><article-title>The canonical Notch signaling pathway: Unfolding the activation mechanism</article-title><source>Cell</source><volume>137</volume><fpage>216</fpage><lpage>233</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.cell.2009.03.045</pub-id><pub-id pub-id-type="pmid">19379690</pub-id></element-citation></ref>
<ref id="b46-ol-0-0-6444"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dotto</surname><given-names>GP</given-names></name></person-group><article-title>Notch tumor suppressor function</article-title><source>Oncogene</source><volume>27</volume><fpage>5115</fpage><lpage>5123</lpage><year>2008</year><pub-id pub-id-type="doi">10.1038/onc.2008.225</pub-id><pub-id pub-id-type="pmid">18758480</pub-id></element-citation></ref>
<ref id="b47-ol-0-0-6444"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Su</surname><given-names>BH</given-names></name><name><surname>Qu</surname><given-names>J</given-names></name><name><surname>Song</surname><given-names>M</given-names></name><name><surname>Huang</surname><given-names>XY</given-names></name><name><surname>Hu</surname><given-names>XM</given-names></name><name><surname>Xie</surname><given-names>J</given-names></name><name><surname>Zhao</surname><given-names>Y</given-names></name><name><surname>Ding</surname><given-names>LC</given-names></name><name><surname>She</surname><given-names>L</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><etal/></person-group><article-title>NOTCH1 signaling contributes to cell growth, anti-apoptosis and metastasis in salivary adenoid cystic carcinoma</article-title><source>Oncotarget</source><volume>5</volume><fpage>6885</fpage><lpage>6895</lpage><year>2014</year><pub-id pub-id-type="doi">10.18632/oncotarget.2321</pub-id><pub-id pub-id-type="pmid">25149541</pub-id></element-citation></ref>
<ref id="b48-ol-0-0-6444"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>L</given-names></name><name><surname>Dong</surname><given-names>Y</given-names></name><name><surname>Zhu</surname><given-names>N</given-names></name><name><surname>Tsoi</surname><given-names>H</given-names></name><name><surname>Zhao</surname><given-names>Z</given-names></name><name><surname>Wu</surname><given-names>CW</given-names></name><name><surname>Wang</surname><given-names>K</given-names></name><name><surname>Zheng</surname><given-names>S</given-names></name><name><surname>Ng</surname><given-names>SS</given-names></name><name><surname>Chan</surname><given-names>FK</given-names></name><etal/></person-group><article-title>microRNA-139-5p exerts tumor suppressor function by targeting NOTCH1 in colorectal cancer</article-title><source>Mol Cancer</source><volume>13</volume><fpage>124</fpage><year>2014</year><pub-id pub-id-type="doi">10.1186/1476-4598-13-124</pub-id><pub-id pub-id-type="pmid">24885920</pub-id></element-citation></ref>
<ref id="b49-ol-0-0-6444"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Sun</surname><given-names>Y</given-names></name></person-group><article-title>Notch1 activation is a poor prognostic factor in patients with gastric cancer</article-title><source>Br J Cancer</source><volume>110</volume><fpage>2283</fpage><lpage>2290</lpage><year>2014</year><pub-id pub-id-type="doi">10.1038/bjc.2014.135</pub-id><pub-id pub-id-type="pmid">24642622</pub-id></element-citation></ref>
<ref id="b50-ol-0-0-6444"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Francois</surname><given-names>R</given-names></name><name><surname>Iyer</surname><given-names>R</given-names></name><name><surname>Seshadri</surname><given-names>M</given-names></name><name><surname>Zajac-Kaye</surname><given-names>M</given-names></name><name><surname>Hochwald</surname><given-names>SN</given-names></name></person-group><article-title>Current understanding of the molecular biology of pancreatic neuroendocrine tumors</article-title><source>J Natl Cancer Inst</source><volume>105</volume><fpage>1005</fpage><lpage>1017</lpage><year>2013</year><pub-id pub-id-type="doi">10.1093/jnci/djt135</pub-id><pub-id pub-id-type="pmid">23840053</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-ol-0-0-6444" position="float">
<label>Figure 1.</label>
<caption><p>Expression of mature miR-34a in colorectal cancer cells and tissues. (A) Reverse transcription-quantitative polymerase chain reaction analysis of miR-34a expression in the potentially invasive colon cancer cell lines HT29, SW480 and SW620, and the normal colonic epithelial cell line NCM460. The data are expressed as the mean &#x00B1; standard deviation (n=3). &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01 vs. NCM460. (B) Colorectal cancer tissue microarray composed of normal colon tissue and colon adenocarcinoma tissue from patients was analyzed using <italic>in situ</italic> hybridization. Representative images of miR-34a expression (left panel: Original magnification, &#x00D7;100; scale bar, 100 &#x00B5;m; right panel: Original magnification, &#x00D7;200; scale bar, 50 &#x00B5;m) (C) Representative images of miR-34a expression in well-differentiated (high/moderate differentiation) colorectal cancer, poorly differentiated (low differentiation) colorectal cancer, non-metastatic tissues and metastasis tissues. Original magnification, &#x00D7;200; scale bar, 50 &#x00B5;m. (D) Kaplan-Meier estimator survival curves for patients according to the expression levels of miR-34a in tumors. miR, microRNA.</p></caption>
<graphic xlink:href="ol-14-02-2325-g00.jpg"/>
</fig>
<fig id="f2-ol-0-0-6444" position="float">
<label>Figure 2.</label>
<caption><p>Notch1 and Jagged1 are direct target genes of human miR-34a. (A) Schematic representation of the predicted binding sites of miR-34a in the Notch1 and Jagged1 3&#x2032; untranslated regions, and the sequence of the intact (wild-type) miR-34a and their mutant binding sites within the luciferase reporter vector. (B) miR-34a suppresses the expression of Notch1 and Jagged. Reverse transcription-quantitative polymerase chain reaction (middle panel) and Western blot analyses (right panel) of Notch1 and Jagged1 were performed following transfection of cells with an miR-34a mimic or mimic negative control (NC) for 48 h (left panel). The data are expressed as the mean &#x00B1; SD (n=3). &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01 vs. mimic NC. (C) A total of 9 luciferase reporter constructs were created for the luciferase activity assay, namely LR-blank (no insertion), LR-34a/Noth1w1, LR-34a/Noth1w2, LR-34a/Jagged1w1, LR-34a/Jagged1w2, LR-34a/Noth1m1, LR-34a/Noth1m2, LR-34a/Jagged1m2 and LR-34a/Jagged1m2. Each of the constructs was co-transfected with an miR-34a mimic (or mimic NC) into HEK293 cells. Luciferase activities were measured 36 h post-transfection. The data are expressed as the mean &#x00B1; SD (n=3). &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01 vs. mimic NC. miR, microRNA; CDS, coding sequence; SD, standard deviation; NC, negative control; w1/2, wild-type 1/2; m1/m2, mutant 1/2.</p></caption>
<graphic xlink:href="ol-14-02-2325-g01.jpg"/>
</fig>
<fig id="f3-ol-0-0-6444" position="float">
<label>Figure 3.</label>
<caption><p>miR-34a inhibits tumor cell migration and invasion by targeting Notch1 and Jagged1. (A) SW480 cells were transfected with miR-34a (or mimic NC) followed by Notch1 or Jagged1 transfection. Cells were subjected to the wound closure assay in a time-dependent manner. Images captured at 0 and 48 h are provided. Representative images of the migrated stained cells are also provided (left). Cells in 3 randomly selected areas were counted and statistical analyses were performed. The data are expressed as the mean &#x00B1; SD (n=3) (right). &#x002A;P&#x003C;0.05, &#x002A;&#x002A;P&#x003C;0.01 and &#x002A;&#x002A;&#x002A;P&#x003C;0.001 vs. miR-34a mimic. (B) Transwell migration assays examining the effects of miR-34a on cell invasion ability. SW480 cells were transfected with miR-34a (or mimic NC) followed by Notch1 or Jagged1 transfection. The Transwell migration assay was performed 24 and 36 h later. Representative images of the migrated stained cells are provided (left). SW480 cells in 5 randomly selected areas were counted and statistical analyses were performed (right). The data are expressed as the mean &#x00B1; SD. &#x002A;P&#x003C;0.05, &#x002A;&#x002A;P&#x003C;0.01 and &#x002A;&#x002A;&#x002A;P&#x003C;0.001 vs. miR-34a mimic. (C) Regulation of the expression of E-cadherin, vimentin, fibronectin, Slug, Snail and ZEB1 by miR-34a. SW480 cells were transfected with an miR-34a mimic or mimic NC for 48 h. The expression of E-cadherin, vimentin, fibronectin, Slug, Snail and ZEB1 was analyzed using the reverse transcription-quantitative polymerase chain reaction. Values were normalized to GAPDH as an internal control. The data are expressed as the mean &#x00B1; SD (n=3). &#x002A;P&#x003C;0.05 vs. mimic NC. (D) SW480 cells were transfected with miR-34a (or mimic NC) followed by Notch1 or Jagged1 transfection. The protein expression of vimentin and fibronectin was assayed by western blot analysis. miR, microRNA; SD, standard deviation; E-cadherin, epithelial cadherin; Slug, zinc finger protein SNAI2; Snai1, zinc finger protein SNAI1; ZEB1, zinc finger E-box-binding homeobox 1; NC, negative control.</p></caption>
<graphic xlink:href="ol-14-02-2325-g02.jpg"/>
</fig>
<table-wrap id="tI-ol-0-0-6444" position="float">
<label>Table I.</label>
<caption><p>Human primers for quantitative polymerase chain reaction.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Gene</th>
<th align="center" valign="bottom">Forward primer (5&#x2032;-3&#x2032;)</th>
<th align="center" valign="bottom">Reverse primer (5&#x2032;-3&#x2032;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Pre-microRNA-34a</td>
<td align="left" valign="top">UGGCAGUGUCUUAGCUGGUUGU</td>
<td align="left" valign="top">AACCAGCUAAGACACUGCCAUU</td>
</tr>
<tr>
<td align="left" valign="top">Notch1</td>
<td align="left" valign="top">AGCCTCAACATCCCCTACAA</td>
<td align="left" valign="top">CCACGAAGAACAGAAGCACA</td>
</tr>
<tr>
<td align="left" valign="top">Jagged1</td>
<td align="left" valign="top">ACGGGAAGTGCAAGAGTCAG</td>
<td align="left" valign="top">GTTTCACAGTAGGCCCCCTC</td>
</tr>
<tr>
<td align="left" valign="top">Epithelial cadherin</td>
<td align="left" valign="top">TTCTGGAAGGAATGGAGGAGTC</td>
<td align="left" valign="top">ACCTGGAATTGGGCAAATGTG</td>
</tr>
<tr>
<td align="left" valign="top">Vimentin</td>
<td align="left" valign="top">AGATGGCCCTTGACATTGAG</td>
<td align="left" valign="top">TGGAAGAGGCAGAGAAATCC</td>
</tr>
<tr>
<td align="left" valign="top">Fibronectin</td>
<td align="left" valign="top">GGTGACACTTATGAGCGTCCTAAA</td>
<td align="left" valign="top">AACATGTAACCACCAGTCTCATGTG</td>
</tr>
<tr>
<td align="left" valign="top">ZEB1</td>
<td align="left" valign="top">GCACAACCAAGTGCAGAAGA</td>
<td align="left" valign="top">GCCTGGTTCAGGAGAAGATG</td>
</tr>
<tr>
<td align="left" valign="top">Snail</td>
<td align="left" valign="top">GCTGCAGGACTCTAATCCAGAGTT</td>
<td align="left" valign="top">GACAGAGTCCCAGATGAGCATTG</td>
</tr>
<tr>
<td align="left" valign="top">Slug</td>
<td align="left" valign="top">AGATGCATATTCGGACCCAC</td>
<td align="left" valign="top">CCTCATGTTTGTGCAGGAGA</td>
</tr>
<tr>
<td align="left" valign="top">GAPDH</td>
<td align="left" valign="top">AACGGATTTGGTCGTATTGG</td>
<td align="left" valign="top">TTGATTTTGGAGGGATCTCG</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-6444"><p>Slug, zinc finger protein SNAI2; Snai1, zinc finger protein SNAI1; ZEB1, zinc finger E-box-binding homeobox 1.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-6444" position="float">
<label>Table II.</label>
<caption><p>Primers and oligonucleotides.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom">Forward primer (5&#x2032;-3&#x2032;)</th>
<th align="center" valign="bottom">Reverse primer (5&#x2032;-3&#x2032;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">3&#x2032;UTR of wild 1 Notch1</td>
<td align="left" valign="top">CGCGTTTTATTTATGTACTTTTATTT</td>
<td align="left" valign="top">AGCTTTACATATAAATAAAAAGG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">TACACAGAAACACTGCCTTTTTATT</td>
<td align="left" valign="top">CAGTGTTTCTGTGTAAAATAAA</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">TATATGTAA</td>
<td align="left" valign="top">AGTACATAAATAAAA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of mutant1 Notch1</td>
<td align="left" valign="top">CGCGTTTTATTTATGTACTTTT</td>
<td align="left" valign="top">AGCTTTACATATAAATAAAAAA</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">ATTTTACACAGAAAAAAATTTTTTT</td>
<td align="left" valign="top">AATTTTTTTCTGTGTAAAATAAAAG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">TATTTATATGTAA</td>
<td align="left" valign="top">TACATAAATAAAA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of wild2 Notch1</td>
<td align="left" valign="top">CGCGTTACCCTTTTCTGGGGAA</td>
<td align="left" valign="top">AGCTTGCTGGGGCCGCCACCG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">AGACACTGCCTGGGCTGACCCCGGT</td>
<td align="left" valign="top">GGGTCAGCCCAGGCAGTGTCTTTC</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">GGCGGCCCCAGCA</td>
<td align="left" valign="top">CCCAGAAAAGGGTAA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of mutant12 Notch1</td>
<td align="left" valign="top">CGCGTTACCCTTTTCTGGGGAAA</td>
<td align="left" valign="top">AGCTTGCTGGGGCCGCCACCG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">GAAAAATTTTGGGCTGACCCCGGT</td>
<td align="left" valign="top">GGGTCAGCCCAAAATTTTTCTTTCC</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">GGCGGCCCCAGCA</td>
<td align="left" valign="top">CCAGAAAAGGGTAA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of wild 1 Jagged1</td>
<td align="left" valign="top">CGCGTACCGCGGGCACTGCCGCCG</td>
<td align="left" valign="top">AGCTTTTAAAGAACTACAAGC</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">CTAGGTAGAGTCTGAGGGCTTGTAG</td>
<td align="left" valign="top">CCTCAGACTCTACCTAGCG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">TTCTTTAAA</td>
<td align="left" valign="top">GCGGCAGTGCCCGCGGTA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of mutant1 Jagged1</td>
<td align="left" valign="top">CGCGTACCGCGGGAAAATTTGC</td>
<td align="left" valign="top">AGCTTTTAAAGAACTACAAGC</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">CGCTAGGTAGAGTCTGAGGGCTTGT</td>
<td align="left" valign="top">CCTCAGACTCTACCTAGCGGC</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">AGTTCTTTAAA</td>
<td align="left" valign="top">AAATTTTCCCGCGGTA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of wild2 Jagged1</td>
<td align="left" valign="top">CGCGTTTTAGATTTGCCATAGAGTA</td>
<td align="left" valign="top">AGCTTCTTTGATTTCCTCACTTAA</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">CACTGCCTGCCTTAAGTGAGGAA</td>
<td align="left" valign="top">GGCAGGCAGTGTACTCTATG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">ATCAAAGA</td>
<td align="left" valign="top">GCAAATCTAAAA</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2032;UTR of mutant2 Jagged1</td>
<td align="left" valign="top">CGCGTTTTAGATTTGCCATAGAGTA</td>
<td align="left" valign="top">AGCTTCTTTGATTTCCTCACTTAA</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">AAAATTTTGCCTTAAGTGAGG</td>
<td align="left" valign="top">GGCAAAATTTTTACTCTATG</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">AAATCAAAGA</td>
<td align="left" valign="top">GCAAATCTAAAA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-6444"><p>The underlined sections of the sequences are mutation sites. UTR, untranslated region.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-6444" position="float">
<label>Table III.</label>
<caption><p>Association of clinical and pathological features with miR-34a expression.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">Expression of microRNA-34a</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">Cases (n)</th>
<th align="center" valign="bottom">Low, n (&#x0025;)</th>
<th align="center" valign="bottom">High, n (&#x0025;)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Histological type</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.000</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Normal tissues</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">15 (14.6)</td>
<td align="center" valign="top">88 (85.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Colorectal cancer tissues</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">54 (52.4)</td>
<td align="center" valign="top">49 (47.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.020</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;56</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">39 (75.0)</td>
<td align="center" valign="top">13 (25.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;56</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">27 (52.9)</td>
<td align="center" valign="top">24 (47.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.182</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">34 (57.6)</td>
<td align="center" valign="top">25 (42.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">31 (70.5)</td>
<td align="center" valign="top">13 (29.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Distant metastasis</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.045</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">32 (41.0)</td>
<td align="center" valign="top">46 (59.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">16 (64.0)</td>
<td align="center" valign="top">9 (36.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Distant differentiation</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.010</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High/moderate</td>
<td align="center" valign="top">88</td>
<td align="center" valign="top">41 (46.6)</td>
<td align="center" valign="top">47 (53.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">13 (86.7)</td>
<td align="center" valign="top">2 (13.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">TNM stage</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.469</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I&#x2013;II</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">29 (60.4)</td>
<td align="center" valign="top">19 (39.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III&#x2013;VI</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">37 (67.3)</td>
<td align="center" valign="top">18 (32.7)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-6444"><p>TNM, tumor-node-metastasis.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
