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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2019.4762</article-id>
<article-id pub-id-type="publisher-id">ijo-54-06-2222</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Tumor-suppressive <italic>microRNA-223</italic> targets <italic>WDR62</italic> directly in bladder cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Sugita</surname><given-names>Satoshi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Yoshino</surname><given-names>Hirofumi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Yonemori</surname><given-names>Masaya</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Miyamoto</surname><given-names>Kazutaka</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Matsushita</surname><given-names>Ryosuke</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Sakaguchi</surname><given-names>Takashi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Itesako</surname><given-names>Toshihiko</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Tatarano</surname><given-names>Shuichi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Nakagawa</surname><given-names>Masayuki</given-names></name></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Enokida</surname><given-names>Hideki</given-names></name><xref ref-type="corresp" rid="c1-ijo-54-06-2222"/></contrib>
<aff id="af1-ijo-54-06-2222">Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima 890-8520, Japan</aff></contrib-group>
<author-notes>
<corresp id="c1-ijo-54-06-2222">Correspondence to: Dr Hideki Enokida, Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima 890-8520, Japan, E-mail: <email>enokida@m.kufm.kagoshima-u.ac.jp</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>06</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>22</day>
<month>03</month>
<year>2019</year></pub-date>
<volume>54</volume>
<issue>6</issue>
<fpage>2222</fpage>
<lpage>2236</lpage>
<history>
<date date-type="received">
<day>07</day>
<month>08</month>
<year>2018</year></date>
<date date-type="accepted">
<day>14</day>
<month>03</month>
<year>2019</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2019, Spandidos Publications</copyright-statement>
<copyright-year>2019</copyright-year></permissions>
<abstract>
<p>miRNA-223 (<italic>miR-223</italic>) has been reported to function not only as a tumor suppressor, but also as an oncogenic microRNA (miRNA or miR) in various cancer cells. Therefore, the functional role of <italic>miR-223</italic> has not been elucidated to date, at least to the best of our knowledge. We previously performed the deep sequencing analysis of clinical bladder cancer (BC) specimens. It was revealed that <italic>miR-223</italic> expression was significantly downregulated in BC, suggesting that <italic>miR-223</italic> functions as a tumor suppressor miRNA in BC. The aim of this study was to investigate the functional roles of <italic>miR-223</italic> and to identify its targets in BC. The expression levels of <italic>miR-223</italic> were significantly decreased in our clinical BC specimens. The Cancer Genome Atlas (TCGA) database indicated that <italic>miR-223</italic> expression was related to lymphovascular invasion and distant metastasis. The restoration of <italic>miR-223</italic> expression significantly inhibited tumor aggressiveness and induced apoptosis via caspase-3/7 activation in BC cells. <italic>WD repeat domain 62</italic> (<italic>WDR62</italic>), a candidate target of <italic>miR-223</italic> according to <italic>in silico</italic> analyses, has been previously proposed to play a role in neurodevelopment. Direct binding between <italic>WDR62</italic> and <italic>miR-223</italic> was confirmed by luciferase assay. The TCGA database revealed positive associations between <italic>WDR62</italic> mRNA expression and a higher tumor grade and stage in BC. The knockdown of <italic>WDR62</italic> significantly inhibited tumor aggressiveness and induced the apoptosis of BC cells. On the whole, the findings of this study reveal a novel <italic>miR-223</italic> target, oncogenic <italic>WDR62</italic>, and provided insight into the oncogenesis of BC.</p></abstract>
<kwd-group>
<kwd>bladder cancer</kwd>
<kwd>microRNA</kwd>
<kwd><italic>miR-223</italic></kwd>
<kwd>tumor suppressor</kwd>
<kwd><italic>WD repeat domain 62</italic></kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Bladder cancer (BC) was the fifth most common type of cancer and the eighth most common cause of cancer-related mortality among 40 countries investigated in 2012 (<xref rid="b1-ijo-54-06-2222" ref-type="bibr">1</xref>). In fact, 429,800 new cases of BC were diagnosed, and 165,000 patients succumbed to the disease worldwide in 2012 (<xref rid="b2-ijo-54-06-2222" ref-type="bibr">2</xref>). The 5-year survival rate of patients with BC has improved by only a small percentage over the past 30 years according to Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute. Patients with metastasis are generally treated with cisplatin-based combination chemotherapy, although its efficacy is limited (<xref rid="b3-ijo-54-06-2222" ref-type="bibr">3</xref>). Standard chemotherapy as a first-line therapy has shifted from the methotrexate, vinblastine, doxorubicin and cisplatin (MVAC) regimen to the gemcitabine and cisplatin (GC) regimen over the past several years due to the lower toxicity of GC. However, GC therapy has not conferred an overall survival benefit to patients with BC compared with MVAC therapy (<xref rid="b4-ijo-54-06-2222" ref-type="bibr">4</xref>). Therefore, the 5-year survival rate of patients with lymph node or distant metastasis remains &#x0003C;20% (<xref rid="b5-ijo-54-06-2222" ref-type="bibr">5</xref>). A main reason behind the fact that the 5-year survival rate of patients with BC has not markedly improved is that the mechanisms of recurrence and metastasis in BC have not yet been sufficiently elucidated.</p>
<p>MicroRNAs (miRNAs or miRs) are endogenous small non-coding RNAs (19-22 nucleotides in length) that negatively regulate protein-coding genes by binding to the 3&#x02032;-untranslated region (UTR) of the target mRNA and inhibiting transcriptional or post-transcriptional expression (<xref rid="b6-ijo-54-06-2222" ref-type="bibr">6</xref>). A single miRNA is able to regulate thousands of target transcripts, and &#x0003E;60% of protein-coding genes may be regulated by miRNAs (<xref rid="b7-ijo-54-06-2222" ref-type="bibr">7</xref>,<xref rid="b8-ijo-54-06-2222" ref-type="bibr">8</xref>). It has previously been demonstrated that miRNAs are aberrantly expressed in various human malignancies and play significant roles in oncogenesis and metastasis (<xref rid="b9-ijo-54-06-2222" ref-type="bibr">9</xref>). Therefore, the detection of aberrantly expressed miRNAs and their target genes is an important step for elucidating miRNA-regulated oncogenic pathways.</p>
<p>Our previous study on BC miRNA profiles revealed significantly downregulated miRNAs in BC tissues compared with normal bladder tissues (<xref rid="b10-ijo-54-06-2222" ref-type="bibr">10</xref>). According to the profile, we have previously demonstrated that several miRNAs function as tumor suppressors by targeting numerous oncogenes in BC cells (<xref rid="b11-ijo-54-06-2222" ref-type="bibr">11</xref>-<xref rid="b16-ijo-54-06-2222" ref-type="bibr">16</xref>). In the current study, we focused on <italic>miRNA-223</italic> (<italic>miR-223</italic>), which was also listed as one of the top 50 downregulated miRNAs in the profile. <italic>miR-223</italic> has been reported to function not only as a tumor suppressor, but also as an oncogenic miRNA in different types of cancer cells. In BC, only two reports to date have demonstrated the tumor-suppressive functions of <italic>miR-223</italic> (<xref rid="b17-ijo-54-06-2222" ref-type="bibr">17</xref>,<xref rid="b18-ijo-54-06-2222" ref-type="bibr">18</xref>), at least to the best of our knowledge. However, the functional roles of <italic>miR-223</italic> have not been sufficiently elucidated in BC. Thus, the aim of this study was to investigate further the functional significance of <italic>miR-223</italic> and to identify the novel molecular targets of this miRNA in BC. The identification of novel molecular targets of <italic>miR-223</italic> could provide important information on BC oncogenesis and may thus lead to the development of novel therapeutic strategies for BC.</p></sec>
<sec sec-type="methods">
<title>Material and methods</title>
<sec>
<title>Clinical specimens and cell culture</title>
<p>Clinical specimens were collected from patients with BC (n=32) who had undergone cystectomy (n=6) or transurethral resection of their bladder tumors (n=26) at the Kagoshima University Hospital (Kagoshima, Japan) from 2004 to 2013. normal bladder epithelial (NBE; n=12) specimens were derived from patients with non-cancerous diseases. The specimens were staged according to the American Joint Committee on Cancer (AJCC)/Union Internationale Contre le Cancer (UICC) tumor-node-metastasis classification system and were histologically graded. This study was approved by the Bioethics Committee of Kagoshima University; the study numbers were H27-104 and H27-105. Written informed consent and approval were obtained from all patients prior to obtaining the samples. The clinicopathological characteristics of the patients are presented in <xref rid="tI-ijo-54-06-2222" ref-type="table">Table I</xref>.</p>
<p>In addition, we used two human BC cell lines: Invasive T24 cells, which were obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA: cat. no. HTB-4) and BOY cells, which were established in our laboratory from an Asian male patient, 66 years of age, given a diagnosis of stage III BC with lung metastasis. These cell lines were maintained in the recommended media containing 10% fetal bovine serum (FBS) in a humidified atmosphere of 95% air at 37&#x000B0;C. Eagle&#x02019;s minimum essential medium (MEM) was used for the culture medium for the BOY cells. These cell lines were subjected to the experiments at passage numbers between 10 and 20. Regularly, mycoplasma testing was carried out for the cell lines and no infection was confirmed. We found no information regarding misidentified or cross-contaminated cell lines the all cell lines used were cross-checked from the International Cell Line Authentication Committee (<ext-link xlink:href="http://iclac.org/databases/cross-contaminations/" ext-link-type="uri">http://iclac.org/databases/cross-contaminations/</ext-link>) and ExPASy Cellosaurus databases (<ext-link xlink:href="https://web.expasy.org/cellosaurus/" ext-link-type="uri">https://web.expasy.org/cellosaurus/</ext-link>).</p></sec>
<sec>
<title>Tissue collection and RNA extraction</title>
<p>Tissues were treated with RNAlater (Thermo Fisher Scientific, Waltham, MA, USA) and stored at -20&#x000B0;C until RNA extraction. Total RNA, including miRNAs, was extracted from the tissues and the cells using the mirVana miRNA Isolation kit (Thermo Fisher Scientific) and Isogen (Nippon Gene, Tokyo, Japan), respectively following the manufacturer&#x02019;s protocol.</p></sec>
<sec>
<title>Reverse transcription-quantitative PCR (RT-qPCR)</title>
<p>Stem-loop RT-PCR (TaqMan MicroRNA Assay for <italic>miR-223</italic>; P/N 002295; Applied Biosystems, Foster City, CA, USA) was used for RT-qPCR to evaluate miRNA expression levels according to previously published methods (<xref rid="b11-ijo-54-06-2222" ref-type="bibr">11</xref>). We used human <italic>RNU48</italic> (P/N 001006; Applied Biosystems) as an internal control and employed the &#x00394;&#x00394;Cq method to calculate the fold changes in expression (<xref rid="b12-ijo-54-06-2222" ref-type="bibr">12</xref>). For <italic>WDR62</italic> and <italic>glucuronidase beta</italic> (<italic>GUSB</italic>) expression, we applied a SYBR-Green qPCR system using the following primers: <italic>WDR62</italic> forward, 5&#x02032;-GCCTTCTCACCCAA TATGAAGC-3&#x02032; and reverse, 5&#x02032;-GCCTTCTCACCCAATATGA AGC-3&#x02032;; and <italic>GUSB</italic> forward, 5&#x02032;-CGTCCCACCTAGAATCT GCT-3&#x02032; and reverse, 5&#x02032;-TTGCTCACAAAGGTCACAGG-3&#x02032;. We also performed RT-qPCR analyses of the 11 genes that were significantly upregulated in the TCGA cohort of BC. The primers for detecting expressions of those genes are described in <xref rid="tIII-ijo-54-06-2222" ref-type="table">Table III</xref>. For the reverse transcription step, 500 ng total RNA was reverse transcribed into cDNA using the High Capacity cDNA Reverse Transcription kit (Thermo Fisher Scientific, Inc.) under the incubation conditions of 25&#x000B0;C for 10 min, 37&#x000B0;C for 120 min and 85&#x000B0;C for 5 min. qPCR was performed using a Power SYBR-Green Master Mix (cat. no. 4367659) on a 7300 Real-time PCR System (both Applied Biosystems; Thermo Fisher Scientific, Inc.). Furthermore, the initial step time for activation was 10 min at 95&#x000B0;C, followed by 40 cycles between a denaturation step for 15 sec at 95&#x000B0;C and an annealing/extension step for 1 min at 60&#x000B0;C.</p>
<p>The specificity of amplification was monitored according to the dissociation curve of the amplified product. All expression values were normalized to those for GUSB, and the &#x00394;&#x00394;Cq method was employed to calculate the fold change values (<xref rid="b12-ijo-54-06-2222" ref-type="bibr">12</xref>). All experiments were performed in triplicate.</p></sec>
<sec>
<title>Transfection of miRNAs, siRNAs and anti-miRNAs</title>
<p>As previously described (<xref rid="b11-ijo-54-06-2222" ref-type="bibr">11</xref>), the T24 and BOY cells were transfected with 10 nM mature miRNA, siRNA or anti-miRNA using Lipofectamine RNAiMAX transfection reagent and Opti-MEM (both from Thermo Fisher Scientific). Mature miRNA molecules, Pre-miR&#x02122; miRNA precursors (<italic>miR-223</italic>, <italic>hsa-miR-223-3p</italic>, P/N PM12301; Thermo Fisher Scientific) and negative control miRNA (P/N AM17111; Thermo Fisher Scientific) were used for the gain-of-function experiments, whereas two different <italic>WDR62</italic> siRNA (P/N HSS138565 and HSS138567; Thermo Fisher Scientific), negative control siRNA (P/N D-001810-10; Thermo Fisher Scientific), <italic>mir</italic>Vana<sup>&#x000AE;</sup> miRNA inhibitor (<italic>anti-miR-223</italic>, <italic>hsa-miR-223</italic>-3p, P/N MH12301; Thermo Fisher Scientific) and negative control miRNA inhibitor (P/N AM17010; Thermo Fisher Scientific) were used for the loss-of-function experiments. For co-transfection, the BC cells were simultaneously transfected with 10 nM <italic>miR-223</italic> and 10 nM <italic>anti-miR-223</italic> using Lipofectamine RNAiMAX and Opti-MEM (both from Thermo Fisher Scientific).</p></sec>
<sec>
<title>Cell viability, migration and invasion assays</title>
<p>In order to investigate the functional significance of <italic>miR-223</italic> and <italic>WDR62</italic>, we performed cell viability, migration and invasion assays using the T24 and BOY cells transfected with 10 nM miRNA or siRNA by reverse transfection. The cells were seeded in 96-well plates at 3&#x000D7;10<sup>3</sup>/well for XTT assays. After 72 h, cell viability was determined using the Cell Proliferation kit II (Roche Diagnostics GmbH, Mannheim, Germany) as previously described (<xref rid="b11-ijo-54-06-2222" ref-type="bibr">11</xref>). The cell migration ability was evaluated using wound healing assays. Cells were plated in 6-well plates at 2&#x000D7;10<sup>5</sup>/well, and after 48 h of transfection, the cell monolayer was scratched using a P-20 micropipette tip. The initial gap length (0 h) and residual gap length at 24 h after wounding were calculated from photomicrographs by using an OLYMPUS CK2 microscope (Olympus Optical Corp., Tokyo Japan) as previously described (<xref rid="b13-ijo-54-06-2222" ref-type="bibr">13</xref>). Cell invasion assays were assessed by modified Boyden chambers consisting of Transwell pre-coated Matrigel membrane filter inserts with 8-micrometer pores in 24-well tissue culture plates (BD Biosciences, Bedford, MA, USA). At 72 h following transfection, the cells were seeded in the upper chamber of 24-well plates at 1&#x000D7;10<sup>5</sup>/well with serum-free Eagle&#x02019;s MEM. After 24 h, 37&#x000B0;C incubation. MEM containing 10% FBS in the lower chamber served as the chemoattractant, as previously described (<xref rid="b11-ijo-54-06-2222" ref-type="bibr">11</xref>). The cells were stained by Diff-Quick (a modified Giemsa stain) (Richard Allan Scientific, San Diego, CA, USA). Briefly, the cells were fixed with pure methanol for 2 min, followed-by stained by the dye I and dye II each for 2 min. The number of the cells on the surface of the chamber was counted by using OLYMPUS BX41 (Olympus Optical Corp.). All experiments were performed in triplicate.</p></sec>
<sec>
<title>Colony formation assay</title>
<p>For colony formation assays to examine effects of <italic>WDR62</italic> knockdown, the cells transfected with 10 nM siRNA were seeded into 10-cm dish at a density of 1,000 cells/well. Following 7 days of incubation in the MEM containing 10% FBS in a humidified atmosphere of 95% air at 37&#x000B0;C, the resulting colonies were fixed with 4% paraformaldehyde phosphate buffer solution (Nacalai Tesque, Kyoto, Japan) and stained with 0.04% crystal violet (Nacalai Tesque) for 10 min at room temperature. The numbers of colonies were counted. The average colony density was calculated and expressed as the relative percentage of the mock group (only with opti-MEM Lipofectamine RNAiMAX).</p></sec>
<sec>
<title>Apoptosis assays</title>
<p>The BC cell lines were transfected with reagent only (mock), miR-control, <italic>miR-223</italic>, siRNA-control or <italic>si-WDR62</italic> at the concentration of 10 nM in 6-well tissue culture plates, as described previously (<xref rid="b14-ijo-54-06-2222" ref-type="bibr">14</xref>). The cells were harvested by trypsinization at 72 h following transfection and washed in cold phosphate-buffered saline. For the apoptosis assays, double staining with FITC-Annexin V and propidium iodide was performed using the FITC Annexin V Apoptosis Detection kit (BD Biosciences) according to the manufacturer&#x02019;s recommendations and analyzed within 1 h by flow cytometry (CytoFLEX analyzer; Beckman Coulter, Brea, CA, USA). Cells were identified as viable, dead, early apoptotic or apoptotic cells using CytExpert&#x02122; 1.2 software (Beckman Coulter), and the percentages of early apoptotic and apoptotic cells in each experiment were then compared.</p></sec>
<sec>
<title>Caspase-3/7 activity assays</title>
<p>Caspase-3/7 activity was measured using CellEvent&#x02122; caspase-3/7 Green Detection Reagent (Invitrogen/Thermo Fisher Scientific). BC cell lines in a 96-well plate were transfected with mature miRNAs and siRNAs as described above. After 72 h, 5 <italic>&#x000B5;</italic>M CellEvent&#x02122; caspase-3/7 Green Detection Reagent were added to each well and incubated at 37&#x000B0;C for 30 min. The fluorescence was then measured in each well. For densitometric analysis, the total fluorescence was quantitated using the BZ-II Analyzer (Keyence, Osaka, Japan). Experiments were performed in triplicate.</p></sec>
<sec>
<title>Cell cycle assays</title>
<p>For cell cycle analyses, the cells were fixed in 70% aqueous ethanol and stained with propidium iodide at 4&#x000B0;C for 30 min following treatment with RNase A as previously described (<xref rid="b15-ijo-54-06-2222" ref-type="bibr">15</xref>). The data were analyzed using the CytoFLEX analyzer (Beckman Coulter). The percentages of cells in the G0/G1, S and G2/M phases were determined and compared. Experiments were performed in triplicate. We used 1 <italic>&#x000B5;</italic>g/ml nocodazole (P/N ab120630; Abcam, Cambridge, UK) to induce G2/M arrest in each cell line as previously described (<xref rid="b16-ijo-54-06-2222" ref-type="bibr">16</xref>). Experiments were done in triplicate.</p></sec>
<sec>
<title>Western blot analysis</title>
<p>Following 3 days of transfection, total protein lysate was prepared with a radioimmunoprecipitation assay (RIPA) buffer (Thermo Fisher Scientific, Inc.) containing protease inhibitor cocktail (Sigma-Aldrich; Merck KGaA). The protein concentrations were determined using the Bradford assay (<xref rid="b17-ijo-54-06-2222" ref-type="bibr">17</xref>). Protein lysate (20 <italic>&#x000B5;</italic>g) per lane was loaded in NuPAGE on 4-12% bis-tris gel (Invitrogen/Thermo Fisher Scientific) and transferred into a polyvinylidene fluoride membrane. Following transfer, the membranes were blocked in washing buffer (0.35 M NaCl, 10 mM Tris-HCl, pH 8.0, and 0.05% Tween-20) containing 3% skim milk for 2 h at room temperature, followed by an overnight incubation at 4&#x000B0;C with rabbit anti-<italic>WDR62</italic> antibodies (1:500, P/N GTX119724; GeneTex, San Antonio, TX, USA), anti-cleaved poly (ADP-ribose) polymerase (PARP) antibodies (1:1,000, P/N 5625), anti-cleaved caspase-3 antibodies (1:1,000, P/N 9664) (both from Cell Signaling Technology, Danvers, MA, USA) and anti-&#x003B2;-actin antibodies (1:1,000, P/N bs-0061R; Bioss, Woburn, MA, USA). The secondary antibodies were peroxidase-labelled anti-rabbit IgG (1 h at 25&#x000B0;C; 1:5,000; cat. no. 7074S; Cell Signaling Technology, Inc.). Specific complexes were visualized using an echochemiluminescence detection system (GE Healthcare, Little Chalfont, UK) as previously described (<xref rid="b13-ijo-54-06-2222" ref-type="bibr">13</xref>).</p></sec>
<sec>
<title>Immunohistochemistry (IHC)</title>
<p>A tissue microarray containing 78 urothelial cancers and 20 normal bladder tissues was obtained from US Biomax, Inc. (product ID: BL 1002; Rockville, MD, USA). Detailed information on all tumor specimens can be found at <ext-link xlink:href="http://www.biomax.us/index.php" ext-link-type="uri">http://www.biomax.us/index.php</ext-link>. The tissue microarray was immunostained following the manufacturer&#x02019;s protocol with an Ultra Vision Detection System (Thermo Fisher Scientific). Primary rabbit polyclonal antibodies against WDR62 (P/N GTX119724; GeneTex) were diluted 1:1,000. Immunostaining was evaluated according to the scoring method described previously (<xref rid="b13-ijo-54-06-2222" ref-type="bibr">13</xref>). Each case was scored on the basis of the intensity and area of staining. The intensity of staining was graded on the following scale: 0, no staining; 1+, mild staining; 2+, moderate staining; and 3+, intense staining. The area of staining was evaluated as follows: 0, no staining of cells in any microscopic field; 1+, &#x0003C;30% of cells stained positive; 2+, 30-60% stained positive; 3+, &#x0003E;60% stained positive. The immunostaining scores (intensity + extent) were combined and analyzed. All samples were independently scored by two of the authors (T.S. and K.M.), who were blinded to the patient status.</p></sec>
<sec>
<title>In silico analysis to identify the genes regulated by miR-223</title>
<p><italic>In silico</italic> analysis was performed to identify target genes of <italic>miR-223</italic> using the TargetScan database Release 7.1 (<ext-link xlink:href="http://www.targetscan.org/vert_71/" ext-link-type="uri">http://www.targetscan.org/vert_71/</ext-link>). Additionally, the Gene Expression Omnibus (accession nos. GSE11783 and GSE31684) and The Cancer Genome Atlas (TCGA) databases were used to identify upregulated genes in BC specimens. We merged these datasets and selected possible <italic>miR-223</italic> target genes.</p></sec>
<sec>
<title>Plasmid construction and dual-luciferase reporter assays</title>
<p>Partial sequences of the wild-type <italic>WDR62</italic> 3&#x02032;-UTR or the <italic>WDR62</italic> 3&#x02032;-UTR with deletion of the <italic>miR-223</italic> target site (position 62-69 of the <italic>WDR62</italic> 3&#x02032;-UTR) and the <italic>miR-223</italic> target site sequence (position 62-69 of the <italic>WDR62</italic> 3&#x02032;-UTR) were inserted between the <italic>Xho</italic>I and <italic>Pme</italic>I restriction sites within the 3&#x02032;-UTR of the <italic>hRluc</italic> gene in the psiCHECK-2 vector (P/N C8021; Promega, Madison, WI, USA). The T24 and BOY cells were transfected with 50 ng vector and 10 nM <italic>miR-223</italic> using Lipofectamine 2000 (Thermo Fisher Scientific) and Opti-MEM (Thermo Fisher Scientific). The activities of Firefly and <italic>Renilla</italic> luciferases in the cell lysates were determined using a dual luciferase assay system according to the manufacturer&#x02032;s protocol (P/N E1960; Promega). Normalized data were presented as <italic>Renilla</italic>/Firefly luciferase activity ratios. Experiments were performed in triplicate.</p></sec>
<sec>
<title>Analysis of TCGA BC datasets</title>
<p>BC samples (n=407) and normal bladder samples (n=19) from the TCGA database were used to analyze the <italic>WDR62</italic> mRNA expression levels in BC compared with normal and BC tissues. BC samples from the TCGA database were used to determine the associations between the expression of <italic>miR-223</italic> or <italic>WDR62</italic> and clinicopathological factors. Gene and miRNA quantification were performed using RNA-seq expression data (normalized RSEM) and miRNA-seq data (reads per million mapped reads) (<xref rid="b18-ijo-54-06-2222" ref-type="bibr">18</xref>). Whole-exome sequencing data were available for the 407 BC samples and 19 normal samples. Full sequencing information and clinical information were acquired using the cBio Portal (<ext-link xlink:href="http://www.cbioportal.org/public-portal/" ext-link-type="uri">http://www.cbioportal.org/public-portal/</ext-link>) and TCGA (<ext-link xlink:href="https://tcga-data.nci.nih.gov/" ext-link-type="uri">https://tcga-data.nci.nih.gov/</ext-link>).</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The differences between 2 groups were analyzed using Mann-Whitney U tests. The differences between 3 variables and numerical values were analyzed using Bonferroni-adjusted Mann-Whitney U tests. The overall survival of patients with BC from the TCGA cohort was evaluated by the Kaplan-Meier method. Patients were divided into 2 groups according to the median <italic>miR-223</italic> or <italic>WDR62</italic> expression level, and differences between the 2 groups were evaluated by log-rank tests. All analyses were performed using Expert StatView software, version 5.0 (SAS Institute Inc., Cary, NC, USA). All data are expressed as the means &#x000B1; standard deviation. P-values &#x0003C;0.05 were considered to indicate statistically significant differences.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Expression levels of miR-223 in clinical BC specimens and cell lines</title>
<p>First, we evaluated the expression levels of <italic>miR-223</italic> in BC samples (n=32) and NBE samples (n=12) in our facility by RT-qPCR. Patient details and clinicopathological characteristics are summarized in <xref rid="tI-ijo-54-06-2222" ref-type="table">Table I</xref>. The expression level of <italic>miR-223</italic> was significantly lower in the BC tissues than in the NBE tissues (P=0.013; <xref rid="f1-ijo-54-06-2222" ref-type="fig">Fig. 1A</xref>). <italic>miR-223</italic> expression was also decreased in the T24 and BOY BC cell lines compared with the NBE samples.</p></sec>
<sec>
<title>Associations between miR-223 expression and clinicopathological parameters in the TCGA datasets</title>
<p>We evaluated the association between <italic>miR-223</italic> expression and the patient clinicopathological parameters or overall survival. Among the BC cohort of TCGA, we evaluated 407 patients with available <italic>miR-223</italic> expression, clinicopathological and survival data. Among these, data of lymphovascular invasion and distant metastasis were available for 278 and 202 patients, respectively. The expression level of this miRNA was significantly lower in patients with BC with lymphovascular invasion (LVI) (P=0.0316; <xref rid="f1-ijo-54-06-2222" ref-type="fig">Fig. 1B</xref>, left panel) and had a tendency to be lower in patients with BC with distant metastasis compared with their counterparts (P=0.0796; <xref rid="f1-ijo-54-06-2222" ref-type="fig">Fig. 1B</xref>, right panel). Next, the cohort was divided into 2 groups according to the median <italic>miR-223</italic> expression level. Kaplan-Meier analysis revealed no differences in the overall survival rate between patients with a high (n=203) and patients with a low <italic>miR-223</italic> expression (n=203) (P=0.2866) (data not shown).</p></sec>
<sec>
<title>Effects of miR-223 restoration on the viability, migration and invasion of BC cell lines</title>
<p>To investigate the functional roles of <italic>miR-223</italic>, we performed gain-of-function analyses using miRNA-transfected T24 and BOY BC cell lines. XTT assays revealed a significant inhibition of the viability of the T24 and BOY cells transfected with <italic>miR-223</italic> in comparison with the mock or miR-control transfectants (each P&#x0003C;0.0001; <xref rid="f2-ijo-54-06-2222" ref-type="fig">Fig. 2A</xref>). Wound healing assays demonstrated that the migration activity was significantly suppressed in the <italic>miR-223</italic> transfectants compared with the mock or miR-control transfectants (each P&#x0003C;0.0001; <xref rid="f2-ijo-54-06-2222" ref-type="fig">Fig. 2B</xref>). Matrigel invasion assays also demonstrated that the number of invading cells was significantly decreased in the <italic>miR-223</italic> transfectants compared with the mock or miR-control transfectants (T24 cells: P=0.0002, BOY cells: P&#x0003C;0.0001; <xref rid="f2-ijo-54-06-2222" ref-type="fig">Fig. 2C</xref>).</p></sec>
<sec>
<title>Effects of miR-223 restoration on the apoptosis of BC cell lines</title>
<p>As it has been previously reported that <italic>miR-223</italic> promotes the apoptosis of acute myeloid leukemia cell lines (<xref rid="b22-ijo-54-06-2222" ref-type="bibr">22</xref>), in this study, we performed flow cytometric analyses to determine the number of apoptotic cells following the restoration of this miRNA into BC cell lines. The numbers of apoptotic cells (apoptotic and early apoptotic cells) were significantly higher in the <italic>miR-223</italic> transfectants than in the mock or miR-control transfectants (each P&#x0003C;0.0001; <xref rid="f2-ijo-54-06-2222" ref-type="fig">Fig. 2D</xref>). Moreover, in a caspase-3/7 activity assay, the fluorescence intensity was significantly increased in the <italic>miR-223</italic> transfectants compared with the mock or miR-control transfectants (T24 cells: P=0.0013, BOY cells: P=0.0002; <xref rid="f2-ijo-54-06-2222" ref-type="fig">Fig. 2E</xref>).</p></sec>
<sec>
<title>Identification of possible target genes regulated by miR-223 in BC</title>
<p>To identify the target genes of <italic>miR-223</italic>, we performed <italic>in silico</italic> analysis. <xref rid="f3-ijo-54-06-2222" ref-type="fig">Fig. 3</xref> shows our strategy used to narrow down possible target genes of <italic>miR-223</italic>. Candidate targets of <italic>miR-223</italic> with one or more conserved <italic>miR-223</italic> binding sites (489 genes) were identified using the TargetScan database, release 7.1 (<ext-link xlink:href="http://www.targetscan.org" ext-link-type="uri">http://www.targetscan.org</ext-link>). Among these candidate genes, 24 genes were upregulated in the GEO database (accession nos. GSE11783 and GSE31684). Moreover, the TCGA database was used to identify genes with a higher expression in the BC samples than in the normal bladder samples. The analysis of the TCGA database revealed that the mRNA expression levels of 11 genes were significantly upregulated in BC. Subsequently, we performed RT-qPCR analyses of these 11 genes to confirm which genes have a lower mRNA expression in the <italic>miR-223</italic> transfectants compared with the mock transfectants (<xref rid="tII-ijo-54-06-2222" ref-type="table">Table II</xref>). <xref rid="tII-ijo-54-06-2222" ref-type="table">Table II</xref> shows that the 11 genes were candidates which could possibility be targets of <italic>miR-223</italic> in clinical BC. Finally, we focused on <italic>WDR62</italic> as, to date, to the best of our knowledge, there have been no reports on this gene as a target of <italic>miR-223</italic>, while the direct regulation of <italic>integrin alpha 3</italic> (<italic>ITGA3</italic>) by <italic>miR-223</italic> has been previously reported in prostate cancer (<xref rid="b23-ijo-54-06-2222" ref-type="bibr">23</xref>).</p></sec>
<sec>
<title>WDR62 is a direct target of miR-223 in BC cells</title>
<p>We performed RT-qPCR and western blot analyses to investigate whether the restoration of <italic>miR-223</italic> expression downregulates <italic>WDR62</italic> expression in BC cells. The <italic>WDR62</italic> mRNA levels were significantly decreased in the <italic>miR-223</italic> transfectants compared with the mock or miR-control transfectants (T24 cells: P=0.0002, BOY cells: P=0.0012; <xref rid="f4-ijo-54-06-2222" ref-type="fig">Fig. 4A</xref>). The <italic>WDR62</italic> protein levels were also decreased in the <italic>miR-223</italic> transfectants compared with the mock or miR-control transfectants (<xref rid="f4-ijo-54-06-2222" ref-type="fig">Fig. 4B</xref>). In addition, we performed dual-luciferase reporter assays in the BC cells to determine whether <italic>WDR62</italic> was regulated by <italic>miR-223</italic> directly. As the TargetScan database predicts a binding site for <italic>miR-223</italic> in the 3&#x02032;-UTR of <italic>WDR62</italic> mRNA (position 62-69), we constructed vectors encoding a partial wild-type <italic>WDR62</italic> mRNA sequence including the <italic>miR-223</italic> binding site in the 3&#x02032;-UTR. We found a significantly reduced luminescence intensity following the co-transfection of <italic>miR-223</italic> and the vector carrying the wild-type sequences at position 62-69 of the <italic>WDR62</italic> 3&#x02032;-UTR (each P&#x0003C;0.0001), whereas no reduction in luminescence was observed following transfection with a vector in which the binding site had been deleted (<xref rid="f4-ijo-54-06-2222" ref-type="fig">Fig. 4C</xref>). These data suggest that <italic>miR-223</italic> binds directly to the specific site of the 3&#x02032;-UTR of <italic>WDR62</italic> mRNA.</p></sec>
<sec>
<title>Associations between WDR62 expression and patient clinicopathological parameters in the TCGA datasets</title>
<p>In a cohort of BC samples (n=407) and normal bladder samples (n=19) from the TCGA database, the mRNA expression level of <italic>WDR62</italic> was significantly higher in the BC samples than in the normal bladder samples (P&#x0003C;0.0001; <xref rid="f5-ijo-54-06-2222" ref-type="fig">Fig. 5A</xref>). In addition, we evaluated the associations between <italic>WDR62</italic> expression and the patient clinicopathological parameters or overall survival. Among the BC cohort of TCGA, we evaluated 403 patients with available <italic>WDR62</italic> expression, clinicopathological and survival data. Among these, data of pathological subtype, tumor grade, distant metastasis and clinical were available for 396, 399, 203 and 400 patients, respectively. The mRNA expression level of <italic>WDR62</italic> was significantly higher in the non-papillary BC (P&#x0003C;0.0001), high-grade tumors (P&#x0003C;0.0001) and high-stage tumors (P&#x0003C;0.01; <xref rid="f5-ijo-54-06-2222" ref-type="fig">Fig. 5B</xref>). The higher expression level exhibited a trend towards significance in patients with BC with distant metastasis compared with their counterparts (P=0.0528; <xref rid="f5-ijo-54-06-2222" ref-type="fig">Fig. 5B</xref>). Subsequently, the cohort was divided into 2 groups according to the median <italic>WDR62</italic> expression level. Kaplan-Meier analysis revealed no difference in the overall survival rate between patients with a high (n=201) and those with a low <italic>WDR62</italic> expression (n=202) (P=0.5194) (data not shown). In the BC samples (n=32) and normal bladder samples (n=12) from our facility, <italic>WDR62</italic> mRNA expression was significantly higher in the BC samples than in the normal bladder samples (P&#x0003C;0.0095; <xref rid="f6-ijo-54-06-2222" ref-type="fig">Fig. 6A</xref>). However, there was no significant association between <italic>WDR62</italic> expression and the patient clinicopathological parameters, such as non-papillary BC, high-grade tumors and high-stage tumors in clinical specimens from our facility (data not shown). Our cohort was too small to evaluate the precise statistical value.</p></sec>
<sec>
<title>IHC analysis of WDR62 in a tissue microarray</title>
<p>We examined the expression level of <italic>WDR62</italic> in BC specimens by IHC staining. <italic>WDR62</italic> was strongly expressed in several tumor lesions (<xref rid="f6-ijo-54-06-2222" ref-type="fig">Fig. 6B</xref>, left panel), whereas a low expression was observed in the normal tissue (<xref rid="f6-ijo-54-06-2222" ref-type="fig">Fig. 6B</xref>, middle panel). Tissue microarray analysis revealed that the IHC score of the tumor tissues was significantly higher than that of the normal tissues (P&#x0003C;0.0001; <xref rid="f6-ijo-54-06-2222" ref-type="fig">Fig. 6B</xref>, right panel).</p></sec>
<sec>
<title>Effects of WDR62 knockdown on the viability, migration and invasion of BC cell lines</title>
<p>To investigate the functional role of <italic>WDR62</italic> in BC cells, we performed loss-of-function experients in the T24 and BOY cell lines transfected with 2 siRNA constructs targeting <italic>WDR62</italic> (<italic>si-WDR62_1</italic> and <italic>si-WDR62_2</italic>). The results of RT-qPCR and western blot analyses revealed that both siRNAs effectively decreased WDR62 expression in both cell lines (<xref ref-type="supplementary-material" rid="SD1-ijo-54-06-2222">Fig. S1</xref>). XTT assays then revealed a significant inhibition of viability in the <italic>si-WDR62</italic> transfectants compared with the mock or siRNA-control transfectants (each P&#x0003C;0.0001; <xref rid="f7-ijo-54-06-2222" ref-type="fig">Fig. 7A</xref>). In addition, colony formation assay confirmed that there was a significantly lower number of surviving BC cell colonies among the <italic>si-WDR62</italic> transfectants than among the mock or siRNA-control transfectants (each P&#x0003C;0.0001; <xref rid="f8-ijo-54-06-2222" ref-type="fig">Fig. 8</xref>). Wound healing assays also demonstrated that the cell migratory activity was significantly suppressed in the <italic>si-WDR62</italic> transfectants compared with the mock or siRNA-control transfectants (T24 cells: each P&#x0003C;0.0001; BOY cells: P=0.0005 and P&#x0003C;0.0001, respectively; <xref rid="f7-ijo-54-06-2222" ref-type="fig">Fig. 7B</xref>). Matrigel invasion assays demonstrated a significantly decreased number of invading cells among the <italic>si-WDR62</italic> transfectants compared with the mock or siRNA-control transfectants (T24 cells: each P&#x0003C;0.0001; BOY cells: P=0.0277 and P&#x0003C;0.0001, respectively; <xref rid="f7-ijo-54-06-2222" ref-type="fig">Fig. 7C</xref>).</p></sec>
<sec>
<title>Effects of WDR62 knockdown on the apoptosis of BC cell lines</title>
<p>We performed flow cytometric analyses to determine the number of apoptotic cells following the siRNA-mediated knockdown of <italic>WDR62</italic> expression. There was a significantly greater number of apoptotic cells among the <italic>si-WDR62</italic> transfectants than among the mock or siRNA-control transfectants (T24 cells: each P&#x0003C;0.0001; BOY cells: P&#x0003C;0.0001 and P=0.0147, respectively; <xref rid="f7-ijo-54-06-2222" ref-type="fig">Fig. 7D</xref>). In addition, a caspase-3/7 activity assay revealed that the fluorescence intensity was significantly increased in the <italic>si-WDR62</italic> transfectants than in mock or siRNA-control transfectants (T24 cells: P=0.0095 and P=0.0017; BOY cells: P=0.0045 and P=0.0001, respectively; <xref rid="f7-ijo-54-06-2222" ref-type="fig">Fig. 7E</xref>). Moreover, the results of western blot analysis confirmed that cleaved caspase-3 and cleaved PARP expression increased in the <italic>si-WDR62</italic> transfectants in comparison with the mock or siRNA-control transfectants (<xref rid="f9-ijo-54-06-2222" ref-type="fig">Fig. 9</xref>).</p></sec>
<sec>
<title>Effects of miR-223 restoration or WDR62 knockdown on the cell cycle of BC cell lines</title>
<p>To investigate the cell cycle effects, we performed flow cytometric analyses using <italic>miR-223</italic> or <italic>si-WDR62</italic> transfectants. Cell cycle assays revealed no fixed tendency in either transfectant (data not shown).</p></sec>
<sec>
<title>Effects of miR-223 inhibition by anti-miR-223 in BC cell lines</title>
<p>To confirm the roles of <italic>miR-223</italic>, we performed functional analyses using BC cells co-transfected with <italic>miR-223</italic> and <italic>anti-miR-223</italic>. The results of RT-qPCR and western blot analyses revealed that co-transfection with <italic>anti-miR-223</italic> and <italic>miR-223</italic> recovered the WDR62 mRNA and protein expression levels that were suppressed by transfection <italic>miR-223</italic> with alone (<xref rid="f10-ijo-54-06-2222" ref-type="fig">Fig. 10A and B</xref>, respectively). XTT assays revealed that cell viability was restored in the cells co-transfected with <italic>anti-miR-223</italic> and <italic>miR-223</italic> in comparison with that of the cells transfected with <italic>miR-223</italic> alone (each P&#x0003C;0.0001; <xref rid="f10-ijo-54-06-2222" ref-type="fig">Fig. 10C</xref>). Wound healing and Matrigel invasion assays also demonstrated that the migratory and invasive activity was significantly restored in the cells co-transfected with <italic>anti-miR-223</italic> and <italic>miR-223</italic> in comparison with the cells transfected with <italic>miR-223</italic> alone (each P&#x0003C;0.0001; <xref rid="f10-ijo-54-06-2222" ref-type="fig">Fig. 10D and E</xref>, respectively). These findings suggest that <italic>miR-223</italic> suppresses cell viability, migration and invasion through <italic>WDR62</italic> knockdown in BC.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The aberrant expression of miRNAs has been found in a number of types of human cancer and plays significant roles in oncogenesis and metastasis (<xref rid="b9-ijo-54-06-2222" ref-type="bibr">9</xref>). Therefore, the detection of aberrantly expressed miRNAs and their target genes is important for the elucidation of miRNA-regulated oncogenic pathways. Many genome-wide miRNA expression analyses, including deep sequencing, have been applied for the evaluation of several types of cancer. In our previous studies, the <italic>miR-1/133a</italic> cluster, <italic>miR-23b/27b</italic> cluster, <italic>miR-135a</italic>, <italic>miR-138</italic>, <italic>miR-143/145</italic> cluster, <italic>miR-200</italic> family (<italic>miR-200a/b/c</italic>, <italic>miR-141</italic> and <italic>miR-429</italic>), <italic>miR-218</italic>, <italic>miR-1285</italic> and <italic>miR-1291</italic> were found to be frequently decreased in renal cell carcinoma, and these miRNAs have been identified as tumor suppressors by targeting several oncogenic genes (<xref rid="b20-ijo-54-06-2222" ref-type="bibr">20</xref>-<xref rid="b28-ijo-54-06-2222" ref-type="bibr">28</xref>).</p>
<p>Our previous deep sequencing analysis in BC revealed that <italic>miR-223</italic> expression was decreased in BC tissues compared with normal bladder tissues (<xref rid="b10-ijo-54-06-2222" ref-type="bibr">10</xref>). Zhi <italic>et al</italic> and Guo <italic>et al</italic> demonstrated that <italic>miR-223</italic> inhibited the migration and invasion of BC cell lines (<xref rid="b29-ijo-54-06-2222" ref-type="bibr">29</xref>,<xref rid="b30-ijo-54-06-2222" ref-type="bibr">30</xref>). These findings suggest that <italic>miR-223</italic> may function as a tumor suppressor in BC. However, the analysis of the functional role of <italic>miR-223</italic> has yielded controversial results in previous studies. In studies on gastric cancer, colorectal cancer and vulvar carcinoma (<xref rid="b31-ijo-54-06-2222" ref-type="bibr">31</xref>-<xref rid="b34-ijo-54-06-2222" ref-type="bibr">34</xref>), <italic>miR-223</italic> has been reported to be an oncogenic miRNA. On the other hand, <italic>miR-223</italic> has been reported to function as a tumor suppressor miRNA in prostate cancer, breast cancer, cervical cancer and acute myeloid leukemia (<xref rid="b19-ijo-54-06-2222" ref-type="bibr">19</xref>,<xref rid="b35-ijo-54-06-2222" ref-type="bibr">35</xref>-<xref rid="b37-ijo-54-06-2222" ref-type="bibr">37</xref>). In support of its tumor-suppressive role, Kurozumi <italic>et al</italic> demonstrated that <italic>miR-223</italic> inhibited the migration and invasion of prostatic cancer cells (<xref rid="b37-ijo-54-06-2222" ref-type="bibr">37</xref>), and Xiao <italic>et al</italic> demonstrated that <italic>miR-223</italic> inhibited the proliferation and enhanced the apoptosis of acute myeloid leukemia cell lines (<xref rid="b19-ijo-54-06-2222" ref-type="bibr">19</xref>). The present study revealed that restoration of <italic>miR-223</italic> markedly suppressed the viability, migration and invasion, and induced the apoptosis of BC cells, suggesting that <italic>miR-223</italic> may function as a tumor suppressor miRNA in BC.</p>
<p>According to our <italic>miR-223</italic> target analyses, we focused on the <italic>WDR62</italic> gene. WDR62 is a recently identified centrosome-associated protein that plays important roles in DNA replication and cell cycle progression (<xref rid="b38-ijo-54-06-2222" ref-type="bibr">38</xref>). WDR62 was originally reported as a scaffold protein associated with the JNK pathway. WDR62 consists of 13 repeats of the WD40 domain in its N-terminal half and MKK7/JNK binding domains and 6 potential JNK phosphorylation sites in its C-terminal half, and it mediates cell signaling, transcriptional, mitotic and apoptotic functions (<xref rid="b39-ijo-54-06-2222" ref-type="bibr">39</xref>-<xref rid="b41-ijo-54-06-2222" ref-type="bibr">41</xref>). Of note, <italic>WDR62</italic> expression was observed in the spindle poles of dividing cells, but not in the nucleus during mitosis, suggesting a critical role of <italic>WDR62</italic> in cell proliferation (<xref rid="b42-ijo-54-06-2222" ref-type="bibr">42</xref>). Previous studies have revealed that <italic>WDR62</italic> plays important roles in cerebral cortical development, and mutations in its gene have been associated with microcephaly (<xref rid="b42-ijo-54-06-2222" ref-type="bibr">42</xref>-<xref rid="b45-ijo-54-06-2222" ref-type="bibr">45</xref>). However, to the best of our knowledge, the functional roles of <italic>WDR62</italic> in human cancer remain unclear, as there are only 3 reports available regarding the functional roles of <italic>WDR62</italic> in human cancer (<xref rid="b38-ijo-54-06-2222" ref-type="bibr">38</xref>,<xref rid="b46-ijo-54-06-2222" ref-type="bibr">46</xref>-<xref rid="b47-ijo-54-06-2222" ref-type="bibr">47</xref>). Zeng <italic>et al</italic> demonstrated that suppression of <italic>WDR62</italic> induced G2/M cell cycle arrest and apoptosis, and its expression was associated with chemoresistance and a poor prognosis in gastric cancer (<xref rid="b46-ijo-54-06-2222" ref-type="bibr">46</xref>). Zhang <italic>et al</italic> demonstrated that <italic>WDR62</italic> overexpression may be related to centrosome amplification in ovarian cancer (<xref rid="b47-ijo-54-06-2222" ref-type="bibr">47</xref>). Shinmura <italic>et al</italic> demonstrated that <italic>WDR62</italic> overexpression was associated with a poor prognosis and centrosome amplification in lung adenocarcinoma (<xref rid="b38-ijo-54-06-2222" ref-type="bibr">38</xref>). In nerve cells, the upregulation of WDR62 has been shown to induce cell apoptosis via the JNK pathway (<xref rid="b41-ijo-54-06-2222" ref-type="bibr">41</xref>). Conversely, in this study, the downregulation of WDR62 induced the apoptosis and inhibited the viability of BC cells. The functional roles of WDR62 may differ between benign and cancer tissues. Therefore, there seems to be no association between WDR62 with the JNK pathway in BC. Further studies are warranted to identify other pathways related to <italic>WDR62</italic> in BC.</p>
<p>In addition, we found that <italic>WDR62</italic> knockdown suppressed cell invasion and migration, which has not been reported previously. Notably, two of the three previous reports indicated that <italic>WDR62</italic> overexpression was associated with centrosome amplification in distinct types of cancer. Centrosome amplification is an abnormal cellular process in which cells acquire three or more centrosomes, and it results in multipolar mitosis, the consequences of which may include mitotic catastrophe or delayed mitotic progression (<xref rid="b48-ijo-54-06-2222" ref-type="bibr">48</xref>,<xref rid="b49-ijo-54-06-2222" ref-type="bibr">49</xref>). In addition, aberrant mitoses may result in the acquisition of aneuploidy and chromosome instability (<xref rid="b50-ijo-54-06-2222" ref-type="bibr">50</xref>,<xref rid="b51-ijo-54-06-2222" ref-type="bibr">51</xref>). Centrosome amplification is well known as a common feature of many types of cancer; however, its effect on cancer is not yet fully understood. Raff <italic>et al</italic> demonstrated that centrosome amplification initiated tumorigenesis in a mouse model (<xref rid="b52-ijo-54-06-2222" ref-type="bibr">52</xref>). Godinho <italic>et al</italic> suggested that centrosome amplification was involved in cellular invasions (<xref rid="b53-ijo-54-06-2222" ref-type="bibr">53</xref>). Centrosome amplification may be an important mechanism of the oncogenic role of <italic>WDR62</italic>. Further studies are warranted to clarify this hypothesis.</p>
<p>In this study, the analyses of the TCGA database indicated that <italic>WDR62</italic> expression, as well as <italic>miR-223</italic> expression, may be associated with distant metastasis. Moreover, <italic>WDR62</italic> knockdown, as well as <italic>miR-223</italic> restoration, inhibited the migration and invasion of BC cells. However, the analyses of the TCGA database revealed that <italic>miR-223</italic> or <italic>WDR62</italic> expression was not related to the survival rate. The upregulation of oncogenic <italic>WDR62</italic> due to the suppression of <italic>miR-223</italic> may be an important mechanism for cell invasion and metastasis in BC cells. However, it is not a critical factor that affects disease survival in BC. In addition, no significant inverse correlation was detected between <italic>miR-223</italic> and <italic>WDR62</italic> mRNA expression in the TCGA database (data not shown). A number of miRNAs, including miR-223 target WDR62, implying that miR-223 alone does not suppress WDR62 expression with statistical significance. Further studies are warranted to elucidate other regulatory factors of WDR62 expression.</p>
<p>In conclusion, in this study, <italic>miR-223</italic> was shown to function as a tumor suppressor in BC cells. To the best of our knowledge, this is the first report demonstrating that the tumor suppressor <italic>miR-223</italic> directly regulates <italic>WDR62</italic> in BC cells. The identification of novel molecular pathways and targets regulated by the <italic>miR-223</italic>/<italic>WDR62</italic> axis may provide important insight into the potential mechanisms of BC progression.</p></sec>
<sec sec-type="supplementary-material">
<title>Supplementary Materials</title>
<supplementary-material id="SD1-ijo-54-06-2222" content-type="local-data">
<media xlink:href="Supplementary_Data.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec></body>
<back>
<sec sec-type="other">
<title>Funding</title>
<p>This study was supported by the KAKENHI (KIBAN-B) 16H05464 and 17H04332, KAKENHI (KIBAN-C) 16K11015, KAKENHI (WAKATE-B) 17K16799.</p></sec>
<sec sec-type="materials">
<title>Availability of data and materials</title>
<p>All data generated or analyzed during this study are included in this published article or are available from the corresponding author on reasonable request.</p></sec>
<sec sec-type="other">
<title>Authors&#x02019; contributions</title>
<p>SS, HY, MY, HE and MN conceived of the study and designed the experiments. SS, HY, KM, RM and TS performed the experiments. TI and ST contributed to the interpretation of the data. SS, TI, ST and HE drafted the manuscript. All authors have reviewed the manuscript and approved the final version.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>This study was approved by the Bioethics Committee of Kagoshima University; the study approval numbers were H27-104 and H27-105. Written informed consent and approval were obtained from all patients prior to obtaining the samples.</p></sec>
<sec sec-type="other">
<title>Patient consent for publication</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank Ms. Mutsumi Miyazaki for her excellent laboratory assistance.</p></ack>
<ref-list>
<title>References</title>
<ref id="b1-ijo-54-06-2222"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ferlay</surname><given-names>J</given-names></name><name><surname>Steliarova-Foucher</surname><given-names>E</given-names></name><name><surname>Lortet-Tieulent</surname><given-names>J</given-names></name><name><surname>Rosso</surname><given-names>S</given-names></name><name><surname>Coebergh</surname><given-names>JW</given-names></name><name><surname>Comber</surname><given-names>H</given-names></name><name><surname>Forman</surname><given-names>D</given-names></name><name><surname>Bray</surname><given-names>F</given-names></name></person-group><article-title>Cancer incidence and mortality patterns in Europe: Estimates for 40 countries in 2012</article-title><source>Eur J Cancer</source><volume>49</volume><fpage>1374</fpage><lpage>1403</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.ejca.2012.12.027</pub-id><pub-id pub-id-type="pmid">23485231</pub-id></element-citation></ref>
<ref id="b2-ijo-54-06-2222"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Torre</surname><given-names>LA</given-names></name><name><surname>Bray</surname><given-names>F</given-names></name><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Ferlay</surname><given-names>J</given-names></name><name><surname>Lortet-Tieulent</surname><given-names>J</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Global cancer statistics, 2012</article-title><source>CA Cancer J Clin</source><volume>65</volume><fpage>87</fpage><lpage>108</lpage><year>2015</year><pub-id pub-id-type="doi">10.3322/caac.21262</pub-id><pub-id pub-id-type="pmid">25651787</pub-id></element-citation></ref>
<ref id="b3-ijo-54-06-2222"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Vale</surname><given-names>C</given-names></name><collab>Advanced Bladder Cancer Meta-analysis Collaboration</collab></person-group><article-title>Neoadjuvant chemotherapy in invasive bladder cancer: A systematic review and meta-analysis</article-title><source>Lancet</source><volume>361</volume><fpage>1927</fpage><lpage>1934</lpage><year>2003</year><pub-id pub-id-type="doi">10.1016/S0140-6736(03)13580-5</pub-id></element-citation></ref>
<ref id="b4-ijo-54-06-2222"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>von der Maase</surname><given-names>H</given-names></name><name><surname>Hansen</surname><given-names>SW</given-names></name><name><surname>Roberts</surname><given-names>JT</given-names></name><name><surname>Dogliotti</surname><given-names>L</given-names></name><name><surname>Oliver</surname><given-names>T</given-names></name><name><surname>Moore</surname><given-names>MJ</given-names></name><name><surname>Bodrogi</surname><given-names>I</given-names></name><name><surname>Albers</surname><given-names>P</given-names></name><name><surname>Knuth</surname><given-names>A</given-names></name><name><surname>Lippert</surname><given-names>CM</given-names></name><etal/></person-group><article-title>Gemcitabine and cisplatin versus methotrexate, vinblastine, doxorubicin, and cisplatin in advanced or metastatic bladder cancer: Results of a large, randomized, multinational, multi-center, phase III study</article-title><source>J Clin Oncol</source><volume>18</volume><fpage>3068</fpage><lpage>3077</lpage><year>2000</year><pub-id pub-id-type="doi">10.1200/JCO.2000.18.17.3068</pub-id><pub-id pub-id-type="pmid">11001674</pub-id></element-citation></ref>
<ref id="b5-ijo-54-06-2222"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meeks</surname><given-names>JJ</given-names></name><name><surname>Bellmunt</surname><given-names>J</given-names></name><name><surname>Bochner</surname><given-names>BH</given-names></name><name><surname>Clarke</surname><given-names>NW</given-names></name><name><surname>Daneshmand</surname><given-names>S</given-names></name><name><surname>Galsky</surname><given-names>MD</given-names></name><name><surname>Hahn</surname><given-names>NM</given-names></name><name><surname>Lerner</surname><given-names>SP</given-names></name><name><surname>Mason</surname><given-names>M</given-names></name><name><surname>Powles</surname><given-names>T</given-names></name><etal/></person-group><article-title>A systematic review of neoadjuvant and adjuvant chemotherapy for muscle-invasive bladder cancer</article-title><source>Eur Urol</source><volume>62</volume><fpage>523</fpage><lpage>533</lpage><year>2012</year><pub-id pub-id-type="doi">10.1016/j.eururo.2012.05.048</pub-id><pub-id pub-id-type="pmid">22677572</pub-id></element-citation></ref>
<ref id="b6-ijo-54-06-2222"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carthew</surname><given-names>RW</given-names></name><name><surname>Sontheimer</surname><given-names>EJ</given-names></name></person-group><article-title>Origins and Mechanisms of miRNAs and siRNAs</article-title><source>Cell</source><volume>136</volume><fpage>642</fpage><lpage>655</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.cell.2009.01.035</pub-id><pub-id pub-id-type="pmid">19239886</pub-id><pub-id pub-id-type="pmcid">2675692</pub-id></element-citation></ref>
<ref id="b7-ijo-54-06-2222"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Friedman</surname><given-names>RC</given-names></name><name><surname>Farh</surname><given-names>KK</given-names></name><name><surname>Burge</surname><given-names>CB</given-names></name><name><surname>Bartel</surname><given-names>DP</given-names></name></person-group><article-title>Most mammalian mRNAs are conserved targets of microRNAs</article-title><source>Genome Res</source><volume>19</volume><fpage>92</fpage><lpage>105</lpage><year>2009</year><pub-id pub-id-type="doi">10.1101/gr.082701.108</pub-id><pub-id pub-id-type="pmcid">2612969</pub-id></element-citation></ref>
<ref id="b8-ijo-54-06-2222"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lewis</surname><given-names>BP</given-names></name><name><surname>Shih</surname><given-names>IH</given-names></name><name><surname>Jones-Rhoades</surname><given-names>MW</given-names></name><name><surname>Bartel</surname><given-names>DP</given-names></name><name><surname>Burge</surname><given-names>CB</given-names></name></person-group><article-title>Prediction of mammalian microRNA targets</article-title><source>Cell</source><volume>115</volume><fpage>787</fpage><lpage>798</lpage><year>2003</year><pub-id pub-id-type="doi">10.1016/S0092-8674(03)01018-3</pub-id><pub-id pub-id-type="pmid">14697198</pub-id></element-citation></ref>
<ref id="b9-ijo-54-06-2222"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Calin</surname><given-names>GA</given-names></name><name><surname>Croce</surname><given-names>CM</given-names></name></person-group><article-title>MicroRNA signatures in human cancers</article-title><source>Nat Rev Cancer</source><volume>6</volume><fpage>857</fpage><lpage>866</lpage><year>2006</year><pub-id pub-id-type="doi">10.1038/nrc1997</pub-id><pub-id pub-id-type="pmid">17060945</pub-id></element-citation></ref>
<ref id="b10-ijo-54-06-2222"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Yamasaki</surname><given-names>T</given-names></name><name><surname>Hidaka</surname><given-names>H</given-names></name><name><surname>Yonezawa</surname><given-names>T</given-names></name><name><surname>Nohata</surname><given-names>N</given-names></name><name><surname>Kinoshita</surname><given-names>T</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><etal/></person-group><article-title>The microRNA expression signature of bladder cancer by deep sequencing: The functional significance of the miR-195/497 cluster</article-title><source>PLoS One</source><volume>9</volume><fpage>e84311</fpage><year>2014</year><pub-id pub-id-type="doi">10.1371/journal.pone.0084311</pub-id><pub-id pub-id-type="pmid">24520312</pub-id><pub-id pub-id-type="pmcid">3919700</pub-id></element-citation></ref>
<ref id="b11-ijo-54-06-2222"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ichimi</surname><given-names>T</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name><name><surname>Okuno</surname><given-names>Y</given-names></name><name><surname>Kunimoto</surname><given-names>R</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Kawamoto</surname><given-names>K</given-names></name><name><surname>Kawahara</surname><given-names>K</given-names></name><name><surname>Toki</surname><given-names>K</given-names></name><name><surname>Kawakami</surname><given-names>K</given-names></name><name><surname>Nishiyama</surname><given-names>K</given-names></name><etal/></person-group><article-title>Identification of novel microRNA targets based on microRNA signatures in bladder cancer</article-title><source>Int J Cancer</source><volume>125</volume><fpage>345</fpage><lpage>352</lpage><year>2009</year><pub-id pub-id-type="doi">10.1002/ijc.24390</pub-id><pub-id pub-id-type="pmid">19378336</pub-id></element-citation></ref>
<ref id="b12-ijo-54-06-2222"><label>12</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(-&#x00394;&#x00394;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></element-citation></ref>
<ref id="b13-ijo-54-06-2222"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name><name><surname>Kawakami</surname><given-names>K</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Nishiyama</surname><given-names>K</given-names></name><name><surname>Nohata</surname><given-names>N</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name></person-group><article-title>The tumour-suppressive function of miR-1 and miR-133a targeting TAGLN2 in bladder cancer</article-title><source>Br J Cancer</source><volume>104</volume><fpage>808</fpage><lpage>818</lpage><year>2011</year><pub-id pub-id-type="doi">10.1038/bjc.2011.23</pub-id><pub-id pub-id-type="pmid">21304530</pub-id><pub-id pub-id-type="pmcid">3048214</pub-id></element-citation></ref>
<ref id="b14-ijo-54-06-2222"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Matsushita</surname><given-names>R</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Inoguchi</surname><given-names>S</given-names></name><name><surname>Ishihara</surname><given-names>T</given-names></name><name><surname>Goto</surname><given-names>Y</given-names></name><name><surname>Nishikawa</surname><given-names>R</given-names></name><name><surname>Mataki</surname><given-names>H</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><etal/></person-group><article-title>Tumour-suppressive microRNA-144-5p directly targets CCNE1/2 as potential prognostic markers in bladder cancer</article-title><source>Br J Cancer</source><volume>113</volume><fpage>282</fpage><lpage>289</lpage><year>2015</year><pub-id pub-id-type="doi">10.1038/bjc.2015.195</pub-id><pub-id pub-id-type="pmid">26057453</pub-id><pub-id pub-id-type="pmcid">4506384</pub-id></element-citation></ref>
<ref id="b15-ijo-54-06-2222"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Block</surname><given-names>AL</given-names></name><name><surname>Bauer</surname><given-names>KD</given-names></name><name><surname>Williams</surname><given-names>TJ</given-names></name><name><surname>Seidenfeld</surname><given-names>J</given-names></name></person-group><article-title>Experimental parameters and a biological standard for acridine orange detection of drug-induced alterations in chromatin condensation</article-title><source>Cytometry</source><volume>8</volume><fpage>163</fpage><lpage>169</lpage><year>1987</year><pub-id pub-id-type="doi">10.1002/cyto.990080209</pub-id><pub-id pub-id-type="pmid">3107948</pub-id></element-citation></ref>
<ref id="b16-ijo-54-06-2222"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kumar</surname><given-names>A</given-names></name><name><surname>Sahu</surname><given-names>SK</given-names></name><name><surname>Mohanty</surname><given-names>S</given-names></name><name><surname>Chakrabarti</surname><given-names>S</given-names></name><name><surname>Maji</surname><given-names>S</given-names></name><name><surname>Reddy</surname><given-names>RR</given-names></name><name><surname>Jha</surname><given-names>AK</given-names></name><name><surname>Goswami</surname><given-names>C</given-names></name><name><surname>Kundu</surname><given-names>CN</given-names></name><name><surname>Rajasubramaniam</surname><given-names>S</given-names></name><etal/></person-group><article-title>Kaposi sarcoma herpes virus latency associated nuclear antigen protein release the G2/M cell cycle blocks by modulating ATM/ATR mediated checkpoint pathway</article-title><source>PLoS One</source><volume>9</volume><fpage>e100228</fpage><year>2014</year><pub-id pub-id-type="doi">10.1371/journal.pone.0100228</pub-id><pub-id pub-id-type="pmid">24972086</pub-id><pub-id pub-id-type="pmcid">4074033</pub-id></element-citation></ref>
<ref id="b17-ijo-54-06-2222"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bradford</surname><given-names>MM</given-names></name></person-group><article-title>A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding</article-title><source>Anal Biochem</source><volume>72</volume><fpage>248</fpage><lpage>254</lpage><year>1976</year><pub-id pub-id-type="doi">10.1016/0003-2697(76)90527-3</pub-id><pub-id pub-id-type="pmid">942051</pub-id></element-citation></ref>
<ref id="b18-ijo-54-06-2222"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>B</given-names></name><name><surname>Dewey</surname><given-names>CN</given-names></name></person-group><article-title>RSEM: Accurate transcript quantification from RNA-Seq data with or without a reference genome</article-title><source>BMC Bioinformatics</source><volume>12</volume><fpage>323</fpage><year>2011</year><pub-id pub-id-type="doi">10.1186/1471-2105-12-323</pub-id><pub-id pub-id-type="pmid">21816040</pub-id><pub-id pub-id-type="pmcid">3163565</pub-id></element-citation></ref>
<ref id="b19-ijo-54-06-2222"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xiao</surname><given-names>Y</given-names></name><name><surname>Su</surname><given-names>C</given-names></name><name><surname>Deng</surname><given-names>T</given-names></name></person-group><article-title>miR-223 decreases cell proliferation and enhances cell apoptosis in acute myeloid leukemia via targeting FBXW7</article-title><source>Oncol Lett</source><volume>12</volume><fpage>3531</fpage><lpage>3536</lpage><year>2016</year><pub-id pub-id-type="doi">10.3892/ol.2016.5115</pub-id><pub-id pub-id-type="pmid">27900032</pub-id><pub-id pub-id-type="pmcid">5103979</pub-id></element-citation></ref>
<ref id="b20-ijo-54-06-2222"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kawakami</surname><given-names>K</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Kagara</surname><given-names>I</given-names></name><name><surname>Gotanda</surname><given-names>T</given-names></name><name><surname>Tachiwada</surname><given-names>T</given-names></name><name><surname>Nishiyama</surname><given-names>K</given-names></name><name><surname>Nohata</surname><given-names>N</given-names></name><etal/></person-group><article-title>The functional significance of miR-1 and miR-133a in renal cell carcinoma</article-title><source>Eur J Cancer</source><volume>48</volume><fpage>827</fpage><lpage>836</lpage><year>2012</year><pub-id pub-id-type="doi">10.1016/j.ejca.2011.06.030</pub-id></element-citation></ref>
<ref id="b21-ijo-54-06-2222"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ishihara</surname><given-names>T</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Inoguchi</surname><given-names>S</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Yamada</surname><given-names>Y</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Goto</surname><given-names>Y</given-names></name><name><surname>Nishikawa</surname><given-names>R</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><etal/></person-group><article-title>Expression of the tumor suppressive miRNA-23b/27b cluster is a good prognostic marker in clear cell renal cell carcinoma</article-title><source>J Urol</source><volume>192</volume><fpage>1822</fpage><lpage>1830</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.juro.2014.07.001</pub-id><pub-id pub-id-type="pmid">25014580</pub-id></element-citation></ref>
<ref id="b22-ijo-54-06-2222"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamada</surname><given-names>Y</given-names></name><name><surname>Hidaka</surname><given-names>H</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Yamasaki</surname><given-names>T</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name></person-group><article-title>Tumor-suppressive microRNA-135a inhibits cancer cell proliferation by targeting the c-MYC oncogene in renal cell carcinoma</article-title><source>Cancer Sci</source><volume>104</volume><fpage>304</fpage><lpage>312</lpage><year>2013</year><pub-id pub-id-type="doi">10.1111/cas.12072</pub-id></element-citation></ref>
<ref id="b23-ijo-54-06-2222"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamasaki</surname><given-names>T</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Yamada</surname><given-names>Y</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Hidaka</surname><given-names>H</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Nohata</surname><given-names>N</given-names></name><name><surname>Kinoshita</surname><given-names>T</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name></person-group><article-title>Tumor suppressive microRNA 138 contributes to cell migration and invasion through its targeting of vimentin in renal cell carcinoma</article-title><source>Int J Oncol</source><volume>41</volume><fpage>805</fpage><lpage>817</lpage><year>2012</year><pub-id pub-id-type="doi">10.3892/ijo.2012.1543</pub-id><pub-id pub-id-type="pmid">22766839</pub-id><pub-id pub-id-type="pmcid">3582944</pub-id></element-citation></ref>
<ref id="b24-ijo-54-06-2222"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Kojima</surname><given-names>S</given-names></name><name><surname>Kinoshita</surname><given-names>T</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Chiyomaru</surname><given-names>T</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name></person-group><article-title>Tumor-suppressive microRNA-143/145 cluster targets hexokinase-2 in renal cell carcinoma</article-title><source>Cancer Sci</source><volume>104</volume><fpage>1567</fpage><lpage>1574</lpage><year>2013</year><pub-id pub-id-type="doi">10.1111/cas.12280</pub-id><pub-id pub-id-type="pmid">24033605</pub-id></element-citation></ref>
<ref id="b25-ijo-54-06-2222"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Kinoshita</surname><given-names>T</given-names></name><name><surname>Fuse</surname><given-names>M</given-names></name><name><surname>Kojima</surname><given-names>S</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name></person-group><article-title>Epithelial-mesenchymal transition-related microRNA-200s regulate molecular targets and pathways in renal cell carcinoma</article-title><source>J Hum Genet</source><volume>58</volume><fpage>508</fpage><lpage>516</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/jhg.2013.31</pub-id><pub-id pub-id-type="pmid">23635949</pub-id></element-citation></ref>
<ref id="b26-ijo-54-06-2222"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamasaki</surname><given-names>T</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Hidaka</surname><given-names>H</given-names></name><name><surname>Yamada</surname><given-names>Y</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Yonezawa</surname><given-names>T</given-names></name><name><surname>Kinoshita</surname><given-names>T</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><etal/></person-group><article-title>MicroRNA-218 inhibits cell migration and invasion in renal cell carcinoma through targeting caveolin-2 involved in focal adhesion pathway</article-title><source>J Urol</source><volume>190</volume><fpage>1059</fpage><lpage>1068</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.juro.2013.02.089</pub-id><pub-id pub-id-type="pmid">23454155</pub-id></element-citation></ref>
<ref id="b27-ijo-54-06-2222"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hidaka</surname><given-names>H</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Yamasaki</surname><given-names>T</given-names></name><name><surname>Yamada</surname><given-names>Y</given-names></name><name><surname>Nohata</surname><given-names>N</given-names></name><name><surname>Fuse</surname><given-names>M</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name></person-group><article-title>Tumor suppressive microRNA-1285 regulates novel molecular targets: Aberrant expression and functional significance in renal cell carcinoma</article-title><source>Oncotarget</source><volume>3</volume><fpage>44</fpage><lpage>57</lpage><year>2012</year><pub-id pub-id-type="doi">10.18632/oncotarget.417</pub-id><pub-id pub-id-type="pmid">22294552</pub-id><pub-id pub-id-type="pmcid">3292891</pub-id></element-citation></ref>
<ref id="b28-ijo-54-06-2222"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamasaki</surname><given-names>T</given-names></name><name><surname>Seki</surname><given-names>N</given-names></name><name><surname>Yoshino</surname><given-names>H</given-names></name><name><surname>Itesako</surname><given-names>T</given-names></name><name><surname>Yamada</surname><given-names>Y</given-names></name><name><surname>Tatarano</surname><given-names>S</given-names></name><name><surname>Hidaka</surname><given-names>H</given-names></name><name><surname>Yonezawa</surname><given-names>T</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name></person-group><article-title>Tumor-suppressive microRNA-1291 directly regulates glucose transporter 1 in renal cell carcinoma</article-title><source>Cancer Sci</source><volume>104</volume><fpage>1411</fpage><lpage>1419</lpage><year>2013</year><pub-id pub-id-type="doi">10.1111/cas.12240</pub-id><pub-id pub-id-type="pmid">23889809</pub-id></element-citation></ref>
<ref id="b29-ijo-54-06-2222"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhi</surname><given-names>Y</given-names></name><name><surname>Pan</surname><given-names>J</given-names></name><name><surname>Shen</surname><given-names>W</given-names></name><name><surname>He</surname><given-names>P</given-names></name><name><surname>Zheng</surname><given-names>J</given-names></name><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Lu</surname><given-names>G</given-names></name><name><surname>Chen</surname><given-names>Z</given-names></name><name><surname>Zhou</surname><given-names>Z</given-names></name></person-group><article-title>Ginkgolide B inhibits human bladder cancer cell migration and invasion through microRNA-223-3p</article-title><source>Cell Physiol Biochem</source><volume>39</volume><fpage>1787</fpage><lpage>1794</lpage><year>2016</year><pub-id pub-id-type="doi">10.1159/000447878</pub-id><pub-id pub-id-type="pmid">27744452</pub-id></element-citation></ref>
<ref id="b30-ijo-54-06-2222"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname><given-names>J</given-names></name><name><surname>Cao</surname><given-names>R</given-names></name><name><surname>Yu</surname><given-names>X</given-names></name><name><surname>Xiao</surname><given-names>Z</given-names></name><name><surname>Chen</surname><given-names>Z</given-names></name></person-group><article-title>MicroRNA-223-3p inhibits human bladder cancer cell migration and invasion</article-title><source>Tumour Biol</source><volume>39</volume><fpage>1010428317691678</fpage><year>2017</year><pub-id pub-id-type="doi">10.1177/1010428317691678</pub-id><pub-id pub-id-type="pmid">28222670</pub-id></element-citation></ref>
<ref id="b31-ijo-54-06-2222"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Jin</surname><given-names>W</given-names></name><name><surname>Jia</surname><given-names>H</given-names></name><name><surname>Yan</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>G</given-names></name></person-group><article-title>MiR-223 promotes the cisplatin resistance of human gastric cancer cells via regulating cell cycle by targeting FBXW7</article-title><source>J Exp Clin Cancer Res</source><volume>34</volume><fpage>28</fpage><year>2015</year><pub-id pub-id-type="doi">10.1186/s13046-015-0145-6</pub-id><pub-id pub-id-type="pmid">25888377</pub-id><pub-id pub-id-type="pmcid">4387683</pub-id></element-citation></ref>
<ref id="b32-ijo-54-06-2222"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Eto</surname><given-names>K</given-names></name><name><surname>Iwatsuki</surname><given-names>M</given-names></name><name><surname>Watanabe</surname><given-names>M</given-names></name><name><surname>Ishimoto</surname><given-names>T</given-names></name><name><surname>Ida</surname><given-names>S</given-names></name><name><surname>Imamura</surname><given-names>Y</given-names></name><name><surname>Iwagami</surname><given-names>S</given-names></name><name><surname>Baba</surname><given-names>Y</given-names></name><name><surname>Sakamoto</surname><given-names>Y</given-names></name><name><surname>Miyamoto</surname><given-names>Y</given-names></name><etal/></person-group><article-title>The sensitivity of gastric cancer to trastuzumab is regulated by the miR-223/FBXW7 pathway</article-title><source>Int J Cancer</source><volume>136</volume><fpage>1537</fpage><lpage>1545</lpage><year>2015</year><pub-id pub-id-type="doi">10.1002/ijc.29168</pub-id></element-citation></ref>
<ref id="b33-ijo-54-06-2222"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>ZW</given-names></name><name><surname>Yang</surname><given-names>YM</given-names></name><name><surname>Du</surname><given-names>LT</given-names></name><name><surname>Dong</surname><given-names>Z</given-names></name><name><surname>Wang</surname><given-names>LL</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Zhou</surname><given-names>XJ</given-names></name><name><surname>Zheng</surname><given-names>GX</given-names></name><name><surname>Qu</surname><given-names>AL</given-names></name><name><surname>Wang</surname><given-names>CX</given-names></name></person-group><article-title>Overexpression of miR-223 correlates with tumor metastasis and poor prognosis in patients with colorectal cancer</article-title><source>Med Oncol</source><volume>31</volume><fpage>256</fpage><year>2014</year><pub-id pub-id-type="doi">10.1007/s12032-014-0256-5</pub-id><pub-id pub-id-type="pmid">25270282</pub-id></element-citation></ref>
<ref id="b34-ijo-54-06-2222"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>de Melo Maia</surname><given-names>B</given-names></name><name><surname>Rodrigues</surname><given-names>IS</given-names></name><name><surname>Akagi</surname><given-names>EM</given-names></name><name><surname>Soares do Amaral</surname><given-names>N</given-names></name><name><surname>Ling</surname><given-names>H</given-names></name><name><surname>Monroig</surname><given-names>P</given-names></name><name><surname>Soares</surname><given-names>FA</given-names></name><name><surname>Calin</surname><given-names>GA</given-names></name><name><surname>Rocha</surname><given-names>RM</given-names></name></person-group><article-title>MiR-223-5p works as an oncomiR in vulvar carcinoma by TP63 suppression</article-title><source>Oncotarget</source><volume>7</volume><fpage>49217</fpage><lpage>49231</lpage><year>2016</year><pub-id pub-id-type="pmid">27359057</pub-id><pub-id pub-id-type="pmcid">5226502</pub-id></element-citation></ref>
<ref id="b35-ijo-54-06-2222"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname><given-names>X</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Zheng</surname><given-names>M</given-names></name><name><surname>Zuo</surname><given-names>W</given-names></name><name><surname>Zheng</surname><given-names>W</given-names></name></person-group><article-title>MicroRNA-223 increases the sensitivity of triple-negative breast cancer stem cells to TRAIL-induced apoptosis by targeting HAX-1</article-title><source>PLoS One</source><volume>11</volume><fpage>e0162754</fpage><year>2016</year><pub-id pub-id-type="doi">10.1371/journal.pone.0162754</pub-id><pub-id pub-id-type="pmid">27618431</pub-id><pub-id pub-id-type="pmcid">5019415</pub-id></element-citation></ref>
<ref id="b36-ijo-54-06-2222"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>Q</given-names></name><name><surname>Qiu</surname><given-names>N</given-names></name><name><surname>Zhao</surname><given-names>Y</given-names></name><name><surname>You</surname><given-names>X</given-names></name></person-group><article-title>MiR-223 inhibited cell metastasis of human cervical cancer by modulating epithelial-mesenchymal transition</article-title><source>Int J Clin Exp Pathol</source><volume>8</volume><fpage>11224</fpage><lpage>11229</lpage><year>2015</year><pub-id pub-id-type="pmid">26617846</pub-id><pub-id pub-id-type="pmcid">4637661</pub-id></element-citation></ref>
<ref id="b37-ijo-54-06-2222"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kurozumi</surname><given-names>A</given-names></name><name><surname>Goto</surname><given-names>Y</given-names></name><name><surname>Matsushita</surname><given-names>R</given-names></name><name><surname>Fukumoto</surname><given-names>I</given-names></name><name><surname>Kato</surname><given-names>M</given-names></name><name><surname>Nishikawa</surname><given-names>R</given-names></name><name><surname>Sakamoto</surname><given-names>S</given-names></name><name><surname>Enokida</surname><given-names>H</given-names></name><name><surname>Nakagawa</surname><given-names>M</given-names></name><name><surname>Ichikawa</surname><given-names>T</given-names></name><etal/></person-group><article-title>Tumor-suppressive microRNA-223 inhibits cancer cell migration and invasion by targeting ITGA3/ITGB1 signaling in prostate cancer</article-title><source>Cancer Sci</source><volume>107</volume><fpage>84</fpage><lpage>94</lpage><year>2016</year><pub-id pub-id-type="doi">10.1111/cas.12842</pub-id></element-citation></ref>
<ref id="b38-ijo-54-06-2222"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shinmura</surname><given-names>K</given-names></name><name><surname>Kato</surname><given-names>H</given-names></name><name><surname>Kawanishi</surname><given-names>Y</given-names></name><name><surname>Igarashi</surname><given-names>H</given-names></name><name><surname>Inoue</surname><given-names>Y</given-names></name><name><surname>Yoshimura</surname><given-names>K</given-names></name><name><surname>Nakamura</surname><given-names>S</given-names></name><name><surname>Fujita</surname><given-names>H</given-names></name><name><surname>Funai</surname><given-names>K</given-names></name><name><surname>Tanahashi</surname><given-names>M</given-names></name><etal/></person-group><article-title>WDR62 overexpression is associated with a poor prognosis in patients with lung adenocarcinoma</article-title><source>Mol Carcinog</source><volume>56</volume><fpage>1984</fpage><lpage>1991</lpage><year>2017</year><pub-id pub-id-type="doi">10.1002/mc.22647</pub-id><pub-id pub-id-type="pmid">28277612</pub-id></element-citation></ref>
<ref id="b39-ijo-54-06-2222"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wasserman</surname><given-names>T</given-names></name><name><surname>Katsenelson</surname><given-names>K</given-names></name><name><surname>Daniliuc</surname><given-names>S</given-names></name><name><surname>Hasin</surname><given-names>T</given-names></name><name><surname>Choder</surname><given-names>M</given-names></name><name><surname>Aronheim</surname><given-names>A</given-names></name></person-group><article-title>A novel c-Jun N-terminal kinase (JNK)-binding protein WDR62 is recruited to stress granules and mediates a nonclassical JNK activation</article-title><source>Mol Biol Cell</source><volume>21</volume><fpage>117</fpage><lpage>130</lpage><year>2010</year><pub-id pub-id-type="doi">10.1091/mbc.e09-06-0512</pub-id><pub-id pub-id-type="pmcid">2801705</pub-id></element-citation></ref>
<ref id="b40-ijo-54-06-2222"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cohen-Katsenelson</surname><given-names>K</given-names></name><name><surname>Wasserman</surname><given-names>T</given-names></name><name><surname>Khateb</surname><given-names>S</given-names></name><name><surname>Whitmarsh</surname><given-names>AJ</given-names></name><name><surname>Aronheim</surname><given-names>A</given-names></name></person-group><article-title>Docking interactions of the JNK scaffold protein WDR62</article-title><source>Biochem J</source><volume>439</volume><fpage>381</fpage><lpage>390</lpage><year>2011</year><pub-id pub-id-type="doi">10.1042/BJ20110284</pub-id><pub-id pub-id-type="pmid">21749326</pub-id><pub-id pub-id-type="pmcid">3462610</pub-id></element-citation></ref>
<ref id="b41-ijo-54-06-2222"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kuan</surname><given-names>CY</given-names></name><name><surname>Yang</surname><given-names>DD</given-names></name><name><surname>Samanta Roy</surname><given-names>DR</given-names></name><name><surname>Davis</surname><given-names>RJ</given-names></name><name><surname>Rakic</surname><given-names>P</given-names></name><name><surname>Flavell</surname><given-names>RA</given-names></name></person-group><article-title>The Jnk1 and Jnk2 protein kinases are required for regional specific apoptosis during early brain development</article-title><source>Neuron</source><volume>22</volume><fpage>667</fpage><lpage>676</lpage><year>1999</year><pub-id pub-id-type="doi">10.1016/S0896-6273(00)80727-8</pub-id><pub-id pub-id-type="pmid">10230788</pub-id></element-citation></ref>
<ref id="b42-ijo-54-06-2222"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nicholas</surname><given-names>AK</given-names></name><name><surname>Khurshid</surname><given-names>M</given-names></name><name><surname>D&#x000E9;sir</surname><given-names>J</given-names></name><name><surname>Carvalho</surname><given-names>OP</given-names></name><name><surname>Cox</surname><given-names>JJ</given-names></name><name><surname>Thornton</surname><given-names>G</given-names></name><name><surname>Kausar</surname><given-names>R</given-names></name><name><surname>Ansar</surname><given-names>M</given-names></name><name><surname>Ahmad</surname><given-names>W</given-names></name><name><surname>Verloes</surname><given-names>A</given-names></name><etal/></person-group><article-title>WDR62 is associated with the spindle pole and is mutated in human microcephaly</article-title><source>Nat Genet</source><volume>42</volume><fpage>1010</fpage><lpage>1014</lpage><year>2010</year><pub-id pub-id-type="doi">10.1038/ng.682</pub-id><pub-id pub-id-type="pmid">20890279</pub-id><pub-id pub-id-type="pmcid">5605390</pub-id></element-citation></ref>
<ref id="b43-ijo-54-06-2222"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>TW</given-names></name><name><surname>Mochida</surname><given-names>GH</given-names></name><name><surname>Tischfield</surname><given-names>DJ</given-names></name><name><surname>Sgaier</surname><given-names>SK</given-names></name><name><surname>Flores-Sarnat</surname><given-names>L</given-names></name><name><surname>Sergi</surname><given-names>CM</given-names></name><name><surname>Top&#x000E7;u</surname><given-names>M</given-names></name><name><surname>McDonald</surname><given-names>MT</given-names></name><name><surname>Barry</surname><given-names>BJ</given-names></name><name><surname>Felie</surname><given-names>JM</given-names></name><etal/></person-group><article-title>Mutations in WDR62, encoding a centrosome-associated protein, cause microcephaly with simplified gyri and abnormal cortical architecture</article-title><source>Nat Genet</source><volume>42</volume><fpage>1015</fpage><lpage>1020</lpage><year>2010</year><pub-id pub-id-type="doi">10.1038/ng.683</pub-id><pub-id pub-id-type="pmid">20890278</pub-id><pub-id pub-id-type="pmcid">2969850</pub-id></element-citation></ref>
<ref id="b44-ijo-54-06-2222"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>D</given-names></name><name><surname>Zhang</surname><given-names>F</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Sun</surname><given-names>Y</given-names></name><name><surname>Xu</surname><given-names>Z</given-names></name></person-group><article-title>Microcephaly-associated protein WDR62 regulates neurogenesis through JNK1 in the developing neocortex</article-title><source>Cell Rep</source><volume>6</volume><fpage>104</fpage><lpage>116</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.celrep.2013.12.016</pub-id><pub-id pub-id-type="pmid">24388750</pub-id></element-citation></ref>
<ref id="b45-ijo-54-06-2222"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pervaiz</surname><given-names>N</given-names></name><name><surname>Abbasi</surname><given-names>AA</given-names></name></person-group><article-title>Molecular evolution of WDR62, a gene that regulates neocorticogenesis</article-title><source>Meta Gene</source><volume>9</volume><fpage>1</fpage><lpage>9</lpage><year>2016</year><pub-id pub-id-type="doi">10.1016/j.mgene.2016.02.005</pub-id><pub-id pub-id-type="pmid">27114917</pub-id><pub-id pub-id-type="pmcid">4833054</pub-id></element-citation></ref>
<ref id="b46-ijo-54-06-2222"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname><given-names>S</given-names></name><name><surname>Tao</surname><given-names>Y</given-names></name><name><surname>Huang</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>S</given-names></name><name><surname>Shen</surname><given-names>L</given-names></name><name><surname>Yang</surname><given-names>H</given-names></name><name><surname>Pei</surname><given-names>H</given-names></name><name><surname>Zhong</surname><given-names>M</given-names></name><name><surname>Zhang</surname><given-names>G</given-names></name><name><surname>Liu</surname><given-names>T</given-names></name><etal/></person-group><article-title>WD40 repeat-containing 62 overexpression as a novel indicator of poor prognosis for human gastric cancer</article-title><source>Eur J Cancer</source><volume>49</volume><fpage>3752</fpage><lpage>3762</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.ejca.2013.07.015</pub-id><pub-id pub-id-type="pmid">23920402</pub-id></element-citation></ref>
<ref id="b47-ijo-54-06-2222"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Tian</surname><given-names>Y</given-names></name><name><surname>Yu</surname><given-names>JJ</given-names></name><name><surname>He</surname><given-names>J</given-names></name><name><surname>Luo</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>S</given-names></name><name><surname>Tang</surname><given-names>CE</given-names></name><name><surname>Tao</surname><given-names>YM</given-names></name></person-group><article-title>Overexpression of WDR62 is associated with centrosome amplification in human ovarian cancer</article-title><source>J Ovarian Res</source><volume>6</volume><fpage>55</fpage><year>2013</year><pub-id pub-id-type="doi">10.1186/1757-2215-6-55</pub-id><pub-id pub-id-type="pmid">23898938</pub-id><pub-id pub-id-type="pmcid">3737014</pub-id></element-citation></ref>
<ref id="b48-ijo-54-06-2222"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fukasawa</surname><given-names>K</given-names></name></person-group><article-title>Oncogenes and tumour suppressors take on centrosomes</article-title><source>Nat Rev Cancer</source><volume>7</volume><fpage>911</fpage><lpage>924</lpage><year>2007</year><pub-id pub-id-type="doi">10.1038/nrc2249</pub-id><pub-id pub-id-type="pmid">18004399</pub-id></element-citation></ref>
<ref id="b49-ijo-54-06-2222"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Godinho</surname><given-names>SA</given-names></name><name><surname>Kwon</surname><given-names>M</given-names></name><name><surname>Pellman</surname><given-names>D</given-names></name></person-group><article-title>Centrosomes and cancer: How cancer cells divide with too many centrosomes</article-title><source>Cancer Metastasis Rev</source><volume>28</volume><fpage>85</fpage><lpage>98</lpage><year>2009</year><pub-id pub-id-type="doi">10.1007/s10555-008-9163-6</pub-id><pub-id pub-id-type="pmid">19156503</pub-id></element-citation></ref>
<ref id="b50-ijo-54-06-2222"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Anderhub</surname><given-names>SJ</given-names></name><name><surname>Kr&#x000E4;mer</surname><given-names>A</given-names></name><name><surname>Maier</surname><given-names>B</given-names></name></person-group><article-title>Centrosome amplification in tumorigenesis</article-title><source>Cancer Lett</source><volume>322</volume><fpage>8</fpage><lpage>17</lpage><year>2012</year><pub-id pub-id-type="doi">10.1016/j.canlet.2012.02.006</pub-id><pub-id pub-id-type="pmid">22342684</pub-id></element-citation></ref>
<ref id="b51-ijo-54-06-2222"><label>51</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chan</surname><given-names>JY</given-names></name></person-group><article-title>A clinical overview of centrosome amplification in human cancers</article-title><source>Int J Biol Sci</source><volume>7</volume><fpage>1122</fpage><lpage>1144</lpage><year>2011</year><pub-id pub-id-type="doi">10.7150/ijbs.7.1122</pub-id><pub-id pub-id-type="pmid">22043171</pub-id><pub-id pub-id-type="pmcid">3204404</pub-id></element-citation></ref>
<ref id="b52-ijo-54-06-2222"><label>52</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Raff</surname><given-names>JW</given-names></name><name><surname>Basto</surname><given-names>R</given-names></name></person-group><article-title>Centrosome Amplification and Cancer: A Question of Sufficiency</article-title><source>Dev Cell</source><volume>40</volume><fpage>217</fpage><lpage>218</lpage><year>2017</year><pub-id pub-id-type="doi">10.1016/j.devcel.2017.01.009</pub-id><pub-id pub-id-type="pmid">28171744</pub-id></element-citation></ref>
<ref id="b53-ijo-54-06-2222"><label>53</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Godinho</surname><given-names>SA</given-names></name><name><surname>Picone</surname><given-names>R</given-names></name><name><surname>Burute</surname><given-names>M</given-names></name><name><surname>Dagher</surname><given-names>R</given-names></name><name><surname>Su</surname><given-names>Y</given-names></name><name><surname>Leung</surname><given-names>CT</given-names></name><name><surname>Polyak</surname><given-names>K</given-names></name><name><surname>Brugge</surname><given-names>JS</given-names></name><name><surname>Th&#x000E9;ry</surname><given-names>M</given-names></name><name><surname>Pellman</surname><given-names>D</given-names></name></person-group><article-title>Oncogene-like induction of cellular invasion from centrosome amplification</article-title><source>Nature</source><volume>510</volume><fpage>167</fpage><lpage>171</lpage><year>2014</year><pub-id pub-id-type="doi">10.1038/nature13277</pub-id><pub-id pub-id-type="pmid">24739973</pub-id><pub-id pub-id-type="pmcid">4061398</pub-id></element-citation></ref></ref-list></back>
<floats-group>
<fig id="f1-ijo-54-06-2222" position="float">
<label>Figure 1</label>
<caption>
<p>Associations of the expression level of <italic>miR-223</italic> with the patient clinicopathological parameters. (A) The expression level of <italic>miR-223</italic>, determined by RT-qPCR, was significantly lower in the 32 clinical BC specimens than in the 12 adjacent NBE specimens from our facility. (B) The associations between <italic>miR-223</italic> expression and the patient clinicopathological parameters in the BC cohort from the TCGA database were determined using the Mann-Whitney U test. NBE, normal bladder epithelium; BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g00.TIF"/></fig>
<fig id="f2-ijo-54-06-2222" position="float">
<label>Figure 2</label>
<caption>
<p>Effects of <italic>miR-223</italic> restoration on BC cell lines. (A-C) Cell viability, migration and invasion were determined by (A) XTT, (B) wound healing and (C) Matrigel invasion assays, respectively. <sup>&#x0002A;</sup>P=0.0002 and <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.0001. (D) The numbers of apoptotic cells were evaluated by flow cytometry. The normalized apoptotic cell ratios are presented in the histograms. <sup>&#x0002A;</sup>P&#x0003C;0.0001. (E) Caspase-3/7 activity was measured by a fluorescence based assay. Normalized fluorescence intensity ratios are presented in the histograms. <sup>&#x0002A;</sup>P=0.0013 and <sup>&#x0002A;&#x0002A;</sup>P=0.0002. BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g01.tif"/></fig>
<fig id="f3-ijo-54-06-2222" position="float">
<label>Figure 3</label>
<caption>
<p>The strategy used to identify <italic>miR-223</italic> target genes. Flow chart for the <italic>in silico</italic> analysis of <italic>miR-223</italic> target genes. The 489 candidate target genes were identified by the TargetScan database. The analysis of gene expression was performed using available GEO datasets (GSE11783 and GSE31684) and the TCGA cohort database. The analyses revealed that 11 genes were significantly upregulated in BC. BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g02.TIF"/></fig>
<fig id="f4-ijo-54-06-2222" position="float">
<label>Figure 4</label>
<caption>
<p>Direct regulation of WDR62 by <italic>miR-223</italic>. (A) <italic>WDR62</italic> mRNA expression was evaluated by RT-qPCR in BC cells at 72 h following the transfection of <italic>miR-223</italic>. <italic>GUSB</italic> was used as an internal control. <sup>&#x0002A;</sup>P=0.0002 and <sup>&#x0002A;&#x0002A;</sup>P=0.0012. (B) WDR62 protein expression was evaluated by western blot analyses in BC cells at 72-96 h following the transfection of <italic>miR-223</italic>. &#x003B2;-actin was used as a loading control. (C) The <italic>miR-223</italic> binding site at position 62-69 within the 3&#x02019;-UTR of <italic>WDR62</italic> mRNA. Dual-luciferase reporter assays using vectors encoding the 3&#x02019;-UTR containing this putative miRNA target site or that in which this site had been deleted. Normalized data are presented as <italic>Renilla</italic>/Firefly luciferase activity ratios. The luminescence intensity was significantly reduced by co-transfection with <italic>miR-223</italic> and the vector carrying the <italic>miR-223</italic> binding site. <sup>&#x0002A;</sup>P&#x0003C;0.0001. <italic>WDR62</italic>, <italic>WD repeat domain 62</italic>; BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g03.TIF"/></fig>
<fig id="f5-ijo-54-06-2222" position="float">
<label>Figure 5</label>
<caption>
<p>Associations of the expression level of <italic>WDR62</italic> with patient clinicopathological parameters. (A) Among the BC cohort of TCGA, the mRNA expression level of <italic>WDR62</italic> was significantly higher in BC samples compared with normal bladder samples. (B) The associations between <italic>WDR62</italic> expression and clinicopathological parameters of the cohort of TCGA were determined using the Mann-Whitney U test. <italic>WDR62</italic>, <italic>WD repeat domain 62</italic>; BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g04.TIF"/></fig>
<fig id="f6-ijo-54-06-2222" position="float">
<label>Figure 6</label>
<caption>
<p>WDR62 expression in clinical BC specimens. (A) The mRNA expression level of WDR62, determined by RT-qPCR, was significantly higher in the 32 clinical BC specimens than in the 12 adjacent NBE specimens from our facility. (B) Representative immunohistochemical staining of WDR62 in BC specimens (left panel) and normal tissues (middle panel). The protein expression score was significantly higher in 77 clinical BC specimens than in 22 normal tissues from the tissue microarray analysis (right panel). WDR62, WD repeat domain 62; BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g05.TIF"/></fig>
<fig id="f7-ijo-54-06-2222" position="float">
<label>Figure 7</label>
<caption>
<p>Effects of <italic>WDR62</italic> knockdown on BC cell lines. (A-C) Cell viability, migration and invasion were determined by (A) XTT, (B) wound healing and (C) Matrigel invasion assays, respectively. <sup>&#x0002A;</sup>P=0.0277, <sup>&#x0002A;&#x0002A;</sup>P=0.0005 and <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.0001. (D) The numbers of apoptotic cells were measured by flow cytometry. Normalized apoptotic cell ratios are presented in the histograms. <sup>&#x0002A;</sup>P=0.0147 and <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.0001. (E) Caspase-3/7 activity was measured by a fluorescence-based assay. The normalized fluorescence intensity ratios are shown in the histograms. <sup>&#x0002A;</sup>P&#x0003C;0.01 and <sup>&#x0002A;&#x0002A;</sup>P=0.0001. <italic>WDR62</italic>, <italic>WD repeat domain 62</italic>; BC, bladder cancer.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g06.tif"/></fig>
<fig id="f8-ijo-54-06-2222" position="float">
<label>Figure 8</label>
<caption>
<p>Effects of <italic>WDR62</italic> knockdown on BC cell lines in colony formation assays. There were significantly less number of surviving BC cell colonies among the <italic>si-WDR62</italic> transfectants than among the mock or siRNA-control respectively transfectants (upper panels) and the representative colony formation images (lower panels). <italic>WDR62</italic>, <italic>WD repeat domain 62</italic>; BC, bladder cancer. <sup>&#x0002A;</sup>P&#x0003C;0.0001.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g07.tif"/></fig>
<fig id="f9-ijo-54-06-2222" position="float">
<label>Figure 9</label>
<caption>
<p>Effects of <italic>WDR62</italic> knockdown on BC cell lines examined by western blot analyses for apoptotic markers. Cleaved form of both caspase-3 and PARP expression were evaluated by western blot analyses in the <italic>si-WDR62</italic> transfectants than among the mock or siRNA-control transfectants in BC cells. &#x003B2;-actin was used as a loading control. <italic>WDR62</italic>, <italic>WD repeat domain 62</italic>; BC, bladder cancer; PARP, poly(ADP-ribose) polymerase.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g08.TIF"/></fig>
<fig id="f10-ijo-54-06-2222" position="float">
<label>Figure 10</label>
<caption>
<p>Effects of the inhibition of miR-223 in BC cell lines. (A and B) WDR62 expression levels were evaluated in BC cells at 72 h following the co-trans-fection of <italic>anti-miR-223</italic> and <italic>miR-223</italic> into BC cells by (A) RT-qPCR and (B) western blot analyses. GUSB and &#x003B2;-actin was used as a control. <italic>Anti-miR-223</italic> recovered WDR62 mRNA and protein expression levels, which were suppressed by transfection with <italic>miR-223</italic> alone. <sup>&#x0002A;</sup>P&#x0003C;0.05 and <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.0001. (C-E) Cell viability, migration and invasion were determined by (C) XTT, (D) wound healing and (E) Matrigel invasion assays, respectively. <italic>Anti-miR-223</italic> recovered cell viability, migration and invasion, which was suppressed by transfection with <italic>miR-223</italic> alone. <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.0001.</p></caption>
<graphic xlink:href="IJO-54-06-2222-g09.TIF"/></fig>
<table-wrap id="tI-ijo-54-06-2222" position="float">
<label>Table I</label>
<caption>
<p>Patient characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Bladder cancer (BC)</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">Range/percentage</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Median age (range), years</td>
<td valign="top" align="center">71.5</td>
<td valign="top" align="center">(43-93)</td></tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">68.8%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">31.2%</td></tr>
<tr>
<td valign="top" align="left">Tumor grade</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Low grade</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">43.7%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;High grade</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">50.0%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Unknown</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.3%</td></tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Tis</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.1%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Ta</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">15.1%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">21.9%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T2</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">34.4%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">9.4%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.3%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Unknown</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">9.4%</td></tr>
<tr>
<td valign="top" align="left">N stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;N0</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">68.8%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;N1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">9.4%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Unknown</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">21.9%</td></tr>
<tr>
<td valign="top" align="left">M stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;M0</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">87.5%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;M1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.3%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Unknown</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.3%</td></tr>
<tr>
<td valign="top" align="left">Surgical method</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;TURBT</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">81.3%</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Cystectomy</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">18.8%</td></tr>
<tr>
<td valign="top" align="left">Normal bladder epithelium</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Total number</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Median age (range), years</td>
<td valign="top" align="center">63.5</td>
<td valign="top" align="center">(51-75)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-54-06-2222">
<p>TURBT, transurethral resection of bladder tumor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijo-54-06-2222" position="float">
<label>Table II</label>
<caption>
<p>Possible candidates of target genes by <italic>in silico</italic> analyses.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left"/>
<th valign="bottom" rowspan="2" align="left">Entrez gene ID</th>
<th valign="bottom" rowspan="2" align="left">Gene symbol</th>
<th valign="bottom" rowspan="2" align="left">Description</th>
<th valign="bottom" rowspan="2" align="left">Genomic location</th>
<th colspan="2" valign="bottom" align="left">TargetScan omnibus (GEO)
<hr/></th>
<th colspan="2" valign="bottom" align="left">Gene expression
<hr/></th>
<th colspan="2" valign="bottom" align="left">The Cancer Genome Atlas (TCGA)
<hr/></th>
<th colspan="3" valign="bottom" align="left">Knock down efficiency in <italic>miR-223</italic> transfectants
<hr/></th></tr>
<tr>
<th valign="bottom" align="left">Conserved sites</th>
<th valign="bottom" align="left">Poorly conserved sites</th>
<th valign="bottom" align="left">Expression</th>
<th valign="bottom" align="left">Fold change</th>
<th valign="bottom" align="left">Expression</th>
<th valign="bottom" align="left">P-value</th>
<th valign="bottom" align="left">T24 cells</th>
<th valign="bottom" align="left">BOY cells</th>
<th valign="bottom" align="left">Average</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">3675</td>
<td valign="top" align="left"><italic>ITGA3</italic></td>
<td valign="top" align="left">Integrin alpha 3</td>
<td valign="top" align="center">17q21.33</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">3.042</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">0.0058</td>
<td valign="top" align="center">0.510</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="center">0.316</td></tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">284403</td>
<td valign="top" align="left"><italic>WDR62</italic></td>
<td valign="top" align="left">WD repeat domain 62</td>
<td valign="top" align="center">19q13.12</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">3.294</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.599</td>
<td valign="top" align="center">0.505</td>
<td valign="top" align="center">0.552</td></tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">1894</td>
<td valign="top" align="left"><italic>ECT2</italic></td>
<td valign="top" align="left">Ect2 oncogene</td>
<td valign="top" align="center">3q26.1-q26.2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">11.070</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.712</td>
<td valign="top" align="center">0.860</td>
<td valign="top" align="center">0.786</td></tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">374407</td>
<td valign="top" align="left"><italic>DNAJB13</italic></td>
<td valign="top" align="left">DnaJ (Hsp40) related, subfamily B, member 13</td>
<td valign="top" align="center">11q13.4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">5.137</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">1.377</td>
<td valign="top" align="center">0.204</td>
<td valign="top" align="center">0.790</td></tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">1033</td>
<td valign="top" align="left"><italic>CDKN3</italic></td>
<td valign="top" align="left">Cyclin-dependent kinase inhibitor 3</td>
<td valign="top" align="center">14q22</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">10.685</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.655</td>
<td valign="top" align="center">1.210</td>
<td valign="top" align="center">0.932</td></tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">10675</td>
<td valign="top" align="left"><italic>CSPG5</italic></td>
<td valign="top" align="left">Chondroitin sulfate proteoglycan 5</td>
<td valign="top" align="center">3p21.3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">3.329</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">0.0056</td>
<td valign="top" align="center">0.673</td>
<td valign="top" align="center">1.257</td>
<td valign="top" align="center">0.965</td></tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">55839</td>
<td valign="top" align="left"><italic>CENPN</italic></td>
<td valign="top" align="left">Centromere protein N</td>
<td valign="top" align="center">16q23.2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">4.295</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.879</td>
<td valign="top" align="center">1.105</td>
<td valign="top" align="center">0.992</td></tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">79019</td>
<td valign="top" align="left"><italic>CENPM</italic></td>
<td valign="top" align="left">Centromere protein M</td>
<td valign="top" align="center">22q13.2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">29.162</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.696</td>
<td valign="top" align="center">1.490</td>
<td valign="top" align="center">1.093</td></tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">55722</td>
<td valign="top" align="left"><italic>CEP72</italic></td>
<td valign="top" align="left">Centrosomal protein 72</td>
<td valign="top" align="center">5p15.33</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">3.187</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.896</td>
<td valign="top" align="center">1.313</td>
<td valign="top" align="center">1.104</td></tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">25769</td>
<td valign="top" align="left"><italic>SLC24A2</italic></td>
<td valign="top" align="left">Solute carrier family 24 (sodium/potassium/calcium exchanger), member 2</td>
<td valign="top" align="center">9p22.1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">3.610</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">0.884</td>
<td valign="top" align="center">6.311</td>
<td valign="top" align="center">3.597</td></tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">6664</td>
<td valign="top" align="left"><italic>SOX11</italic></td>
<td valign="top" align="left">SRY (sex determining region Y)-box 11</td>
<td valign="top" align="center">2p25</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">5.056</td>
<td valign="top" align="center">Up</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">26.297</td>
<td valign="top" align="center">13.378</td></tr></tbody></table></table-wrap>
<table-wrap id="tIII-ijo-54-06-2222" position="float">
<label>Table III</label>
<caption>
<p>Sequences of the primers used in the present study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gene</th>
<th valign="top" align="center">Forward (5&#x02032;-3&#x02032;)</th>
<th valign="top" align="center">Reverse (5&#x02032;-3&#x02032;)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>GUSB</italic></td>
<td valign="top" align="center">CGTCCCACCTAGAATCTGCT</td>
<td valign="top" align="center">TTGCTCACAAAGGTCACAGG</td></tr>
<tr>
<td valign="top" align="left"><italic>ITGA3</italic></td>
<td valign="top" align="center">TCAACCTGGATACCCGATTCC</td>
<td valign="top" align="center">GCTCTGTCTGCCGATGGAG</td></tr>
<tr>
<td valign="top" align="left"><italic>WDR62</italic></td>
<td valign="top" align="center">GCCTTCTCACCCAATATGAAGC</td>
<td valign="top" align="center">GCCTTCTCACCCAATATGAAGC</td></tr>
<tr>
<td valign="top" align="left"><italic>ECT2</italic></td>
<td valign="top" align="center">ACTACTGGGAGGACTAGCTTG</td>
<td valign="top" align="center">CACTCTTGTTTCAATCTGAGGCA</td></tr>
<tr>
<td valign="top" align="left"><italic>DNAJB13</italic></td>
<td valign="top" align="center">ATGGGCCAGGATTATTACTCTGT</td>
<td valign="top" align="center">GCTCATTTGACTTCAACGGGTG</td></tr>
<tr>
<td valign="top" align="left"><italic>CDKN3</italic></td>
<td valign="top" align="center">TCCGGGGCAATACAGACCAT</td>
<td valign="top" align="center">GCAGCTAATTTGTCCCGAAACTC</td></tr>
<tr>
<td valign="top" align="left"><italic>CSPG5</italic></td>
<td valign="top" align="center">GCTGACTTACCCATTTCAGGG</td>
<td valign="top" align="center">AGGGTGGTTCTCTGAGGTTCC</td></tr>
<tr>
<td valign="top" align="left"><italic>CENPN</italic></td>
<td valign="top" align="center">TGAACTGACAACAATCCTGAAGG</td>
<td valign="top" align="center">CTTGCACGCTTTTCCTCACAC</td></tr>
<tr>
<td valign="top" align="left"><italic>CENPM</italic></td>
<td valign="top" align="center">GCGGACTCGATGCTCAAAGA</td>
<td valign="top" align="center">TTCTGGAGACTGTATTTGCTGTG</td></tr>
<tr>
<td valign="top" align="left"><italic>CEP72</italic></td>
<td valign="top" align="center">CTCTCGCGCAACTCCTTGG</td>
<td valign="top" align="center">GTGGAGCCGAAACACTTCTG</td></tr>
<tr>
<td valign="top" align="left"><italic>SLC24A2</italic></td>
<td valign="top" align="center">GTCTGGTAGCCATTAGCACTG</td>
<td valign="top" align="center">TGGGCGTGATCTGTACTATTCTC</td></tr>
<tr>
<td valign="top" align="left"><italic>SOX11</italic></td>
<td valign="top" align="center">AGCAAGAAATGCGGCAAGC</td>
<td valign="top" align="center">ATCCAGAAACACGCACTTGAC</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijo-54-06-2222">
<p>GUSB, glucuronidase &#x003B2;; ITGA3, Integrin alpha 3; WDR62, WD repeat domain 62; ECT2, Ect2 oncogene; DNAJB13, DnaJ (Hsp40) related, subfamily B, member 13; CDKN3, Cyclin-dependent kinase inhibitor 3; CSPG5, Chondroitin sulfate proteoglycan 5; CENPN, Centromere protein N; CENPM, Centromere protein M; CEP72, Centrosomal protein 72; SLC24A2, Solute carrier family 24 (sodium/potassium/calcium exchanger), member 2; SOX11, SRY (sex determining region Y)-box 11.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
