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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2016.4161</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-4161</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>BCL9, a coactivator for Wnt/&#x03B2;-catenin transcription, is targeted by miR-30c and is associated with prostate cancer progression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>LING</surname><given-names>XIAO-HUI</given-names></name>
<xref rid="af1-ol-0-0-4161" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>CHEN</surname><given-names>ZHI-YUN</given-names></name>
<xref rid="af1-ol-0-0-4161" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>LUO</surname><given-names>HONG-WEI</given-names></name>
<xref rid="af2-ol-0-0-4161" ref-type="aff">2</xref>
<xref rid="af3-ol-0-0-4161" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>LIU</surname><given-names>ZE-ZHEN</given-names></name>
<xref rid="af2-ol-0-0-4161" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>LIANG</surname><given-names>YING-KE</given-names></name>
<xref rid="af2-ol-0-0-4161" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>CHEN</surname><given-names>GUAN-XING</given-names></name>
<xref rid="af2-ol-0-0-4161" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>JIANG</surname><given-names>FU-NENG</given-names></name>
<xref rid="af2-ol-0-0-4161" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>ZHONG</surname><given-names>WEI-DE</given-names></name>
<xref rid="af2-ol-0-0-4161" ref-type="aff">2</xref>
<xref rid="af3-ol-0-0-4161" ref-type="aff">3</xref>
<xref rid="c1-ol-0-0-4161" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-4161"><label>1</label>Reproductive Medicine Centre, Huizhou Municipal Central People&#x0027;s Hospital, Huizhou, Guangdong 516001, P.R. China</aff>
<aff id="af2-ol-0-0-4161"><label>2</label>Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People&#x0027;s Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, P.R. China</aff>
<aff id="af3-ol-0-0-4161"><label>3</label>Guangdong Provincial Institute of Nephrology, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-4161"><italic>Correspondence to</italic>: Professor Wei-De Zhong, Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People&#x0027;s Hospital, Guangzhou Medical University, 1 Panfu Road, Guangzhou, Guangdong 510180, P.R. China, E-mail: <email>zhongwd2009@live.cn</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>03</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>29</day>
<month>01</month>
<year>2016</year></pub-date>
<volume>11</volume>
<issue>3</issue>
<fpage>2001</fpage>
<lpage>2008</lpage>
<history>
<date date-type="received"><day>18</day><month>11</month><year>2014</year></date>
<date date-type="accepted"><day>11</day><month>11</month><year>2015</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Ling et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>B-cell lymphoma 9 (BCL9), a component of aberrantly activated Wnt signaling, is an important contributing factor to tumor progression. Our previous data indicated that downregulation of the tumor suppressor microRNA-30c (miR-30c) was a frequent pathogenetic event in prostate cancer (PCa). However, a functional link between miR-30c and BCL9/Wnt signaling, and their clinical and pathological significance in PCa, have not been well established. The present study demonstrated that miR-30c serves as a key negative regulator targeting BCL9 transcription in PCa cells. Ectopic expression of miR-30c was associated with reduced expression of Wnt pathway downstream targets, including c-Myc, cluster of differentiation 44 and sex determining region Y-box 9 in DU145 human PCa cells. Examination of clinical prostate specimens revealed higher levels of BCL9 expression in PCa compared with that in benign prostate tissues. After substantiating this finding by patient sample analysis, BCL9 expression or activity was observed to be closely correlated with PCa biochemical recurrence (BCR) and disease progression, whereas it was inversely associated with miR-30c. Furthermore, overexpression of BCL9 in PCa acted cooperatively with miR-30c low expression to predict earlier BCR in PCa. These findings indicate that inhibition of BCL9/Wnt signaling by miR-30c is important in the progression of PCa. Furthermore, the combined analysis of miR-30c and BCL9 may be valuable tool for prediction of BCR in PCa patients following radical prostatectomy.</p>
</abstract>
<kwd-group>
<kwd>prostate cancer</kwd>
<kwd>microRNA-30c</kwd>
<kwd>B-cell lymphoma 9</kwd>
<kwd>Wnt signaling</kwd>
<kwd>biochemical recurrence</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Prostate cancer (PCa) is the second leading cause of cancer-related mortality in men (<xref rid="b1-ol-0-0-4161" ref-type="bibr">1</xref>). During the progression of PCa, a number of factors play important roles, including genetic and epigenetic alternations and the tumor microenvironment. Previous studies have indicated that a single oncogenic event is not sufficient to initiate prostate neoplasia, and that cooperating oncogenic events are required (<xref rid="b2-ol-0-0-4161" ref-type="bibr">2</xref>). Accordingly, a detailed understanding of how oncogenic aberrations in PCa may cooperate with one another to augment malignant progression and produce an aggressive, metastasis-prone tumor are critical.</p>
<p>MicroRNAs (miRNAs) are small non-coding RNAs of 18&#x2013;25 nucleotides, which negatively regulate gene expression by binding to regulatory sites predominantly located in the 3&#x2032;-untranslated region (3-UTR) of a transcript (<xref rid="b3-ol-0-0-4161" ref-type="bibr">3</xref>). Numerous miRNAs have been demonstrated to be involved in a wide range of biological functions, including cellular proliferation, migration, differentiation and apoptosis (<xref rid="b4-ol-0-0-4161" ref-type="bibr">4</xref>). The dysregulation of these miRNAs has been implicated in cancer development and metastasis, and may be useful in predicting the outcome of various malignancies, including PCa (<xref rid="b5-ol-0-0-4161" ref-type="bibr">5</xref>).</p>
<p>Previous studies, including our own, have demonstrated that miRNAs and components of the intracellular miRNA machinery exhibit widespread dysregulation in PCa biology (<xref rid="b6-ol-0-0-4161" ref-type="bibr">6</xref>,<xref rid="b7-ol-0-0-4161" ref-type="bibr">7</xref>). We have also shown that microRNA-30c (miR-30c) acts as a tumor suppressor gene in PCa cells by inhibiting proliferation, migration, invasion and metastasis (<xref rid="b8-ol-0-0-4161" ref-type="bibr">8</xref>). Accordingly, our results further demonstrated the involvement of miR-30c in PCa progression and suggested its potential role as an independent predictor of biochemical recurrence (BCR)-free survival (<xref rid="b8-ol-0-0-4161" ref-type="bibr">8</xref>). miR-30c has been demonstrated to be involved in inhibiting the self-renewal capacity of breast tumor-initiating cells via reducing ubiquitin carrier protein 9, in inducing cellular senescence via regulating B-Myb, and in promoting an invasive phenotype via reducing epithelial-to-mesenchymal transition (EMT) (<xref rid="b9-ol-0-0-4161" ref-type="bibr">9</xref>&#x2013;<xref rid="b11-ol-0-0-4161" ref-type="bibr">11</xref>). However, whilst accumulating evidence indicates an involvement of aberrant miR-30c expression in carcinogenesis, there are still limited data available regarding the functional role and mechanism of miR-30c in PCa.</p>
<p>The canonical Wnt/&#x03B2;-catenin pathway has been implicated in the pathogenesis of a broad range of human cancers (<xref rid="b12-ol-0-0-4161" ref-type="bibr">12</xref>), and its components have emerged as targets for cancer therapy (<xref rid="b13-ol-0-0-4161" ref-type="bibr">13</xref>). Numerous coactivators for &#x03B2;-catenin transcription have been identified, including B-cell lymphoma 9 (BCL9), its homolog BCL9-like, Pygopus and others (<xref rid="b14-ol-0-0-4161" ref-type="bibr">14</xref>,<xref rid="b15-ol-0-0-4161" ref-type="bibr">15</xref>). The human BCL9 gene was first identified by cloning the t(1;14)(q21;q32) translocation from a patient with precursor B-cell acute lymphoblastic leukemia (<xref rid="b16-ol-0-0-4161" ref-type="bibr">16</xref>). BCL9 is overexpressed in a variety of malignancies and, as a component of the aberrantly activated Wnt signaling pathway, promotes cell proliferation, migration, invasion and metastasis of tumor cells (<xref rid="b17-ol-0-0-4161" ref-type="bibr">17</xref>,<xref rid="b18-ol-0-0-4161" ref-type="bibr">18</xref>). Previous studies have identified BCL9 as a direct target of miR-30c in a number of cancer types (<xref rid="b19-ol-0-0-4161" ref-type="bibr">19</xref>,<xref rid="b20-ol-0-0-4161" ref-type="bibr">20</xref>). However, a functional link between miR-30c and the Wnt pathway coactivator BCL9, and their association with clinicopathological variables in PCa have not been established.</p>
<p>The present study aimed to investigate the effects of miR-30c overexpression on BCL9 in PCa cells, and whether BCL9 is a direct target of miR-30c. In addition, the effects of ectopic expression of miR-30c on the expression of Wnt pathway downstream targets, including c-Myc, CD44 and SOX9 were explored. Furthermore, the association between BCL9 expression and various clinicopathological factors, including Gleason score and BCR, were assessed. The findings indicate that there is a functional link between miR-30c and BCL9 in PCa, and that the small molecule miR-30c may serve as a potential therapy by inhibiting the BCL9/&#x03B2;-catenin interaction and selectively suppressing oncogenic Wnt transcription.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patients and tissues samples</title>
<p>Approval for the present study was obtained from the Research Ethics Committee of Guangzhou First People&#x0027;s Hospital Affiliated to Guangzhou Medical University (Guangzhou, China). For miRNA extraction and immunohistochemistry, 98 tumor tissue samples were obtained from PCa patients who underwent radical prostatectomy at Guangzhou First People&#x0027;s Hospital between January 2002 and August 2012. In addition, 20 benign prostate hyperplasia (BPH) specimens obtained by transurethral resection of the prostate were collected for subsequent experiments. Patients with PCa who received radiotherapy or hormonal treatment prior to surgery were excluded. PCa cases were classified by the World Health Organization criteria (<xref rid="b21-ol-0-0-4161" ref-type="bibr">21</xref>) and staged according to the tumor node metastasis classification (<xref rid="b22-ol-0-0-4161" ref-type="bibr">22</xref>) and the Gleason grading system (<xref rid="b23-ol-0-0-4161" ref-type="bibr">23</xref>). The detailed characteristics of these patients are presented in <xref rid="tI-ol-0-0-4161" ref-type="table">Table I</xref>. BCR was defined as a postoperative serum prostate-specific antigen (PSA) level of &#x2265;0.2 ng/ml.</p>
</sec>
<sec>
<title>Cell culture and reagents</title>
<p>The DU145 prostate cancer cell line (American Type Culture Collection, Rockville, MD, USA) was cultured in RPMI 1640 medium (GE Healthcare Life Sciences, Logan, UT, USA), supplemented with fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) and 100 U/ml penicillin and 100 &#x00B5;g/ml streptomycin (Invitrogen; Thermo Fisher Scientific, Inc.) and maintained at 37&#x00B0;C in an atmosphere of 5&#x0025; CO<sub>2</sub>.</p>
</sec>
<sec>
<title>Transfection of mature miRNA</title>
<p>For transient transfection, 0.5&#x00D7;10<sup>5</sup> DU145 cells were plated in 24 well plates, 12 h prior to transfection. The pGCMV/EGFP/Neo vector (catalog no., C05001) with overexpression of miR-30c was purchased from Shanghai GenePharma Co., Ltd. (Shanghai, China). The blank vector was used as negative control. DU145 human prostate carcinoma cells were transiently transfected with mature miR-30c or control (miR-NC) using Invitrogen&#x2122; Lipofectamine 2000 reagent (Thermo Fisher Scientific, Inc.) according to the manufacturer&#x0027;s instructions. Following the transfection of cells, BCL9 and several Wnt pathway downstream targets were detected by western blot analysis.</p>
</sec>
<sec>
<title>Western blot analysis</title>
<p>Following the standard protocol, total proteins were extracted from cultured cells using 200 &#x00B5;l M-PER Mammalian Protein Extraction Reagent (Thermo Fisher Scientific, Inc.). Protein concentration was measured using a bicinchoninic acid protein assay kit (Thermo Fisher Scientific, Inc.). Total protein concentration was calculated by measuring the absorbance at a wavelength of 260 nm (NanoDrop 2000c Spectrophotometer; Thermo Fisher Scientific Inc., Wilmington, DE, USA). Next, the lysates were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (NuPAGE&#x2122; Novex 4&#x2013;12&#x0025; Bis-Tris Gel; catalog no., NP0322BOX; Thermo Fisher Scientific, Inc., Waltham, MA, USA) and blotted onto polyvinylidene fluoride (PVDF) membranes (catalog no., IPFL00010; EMD Millipore, Billerica, MA, USA). The PVDF membranes were blocked with 5&#x0025; skim milk in phosphate-buffered saline (PBS)-Tween 20 and probed with rabbit polyclonal IgG antibodies against human BCL9 (catalog no., ab37305; dilution, 1:200; Abcam, Cambridge, MA, USA), SOX9 (catalog no., sc-20095; dilution, 1:200; Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA), c-Myc (catalog no., sc-764; dilution, 1:200; Santa Cruz Biotechnology) or CD44 (catalog no., ab41478; dilution, 1:1,000; Abcam), or a mouse monoclonal IgG<sub>1</sub> antibody against human &#x03B2;-actin (catalog no., sc-47778; dilution, 1:100; Santa Cruz Biotechnology) overnight at 4&#x00B0;C. The membranes were then washed with Tris-Buffered Saline with Tween 20 and incubated with alkaline phosphatase-conjugated goat anti-rabbit (catalog no., SAB3700852; dilution, 1:2,000; Sigma-Aldrich, St. Louis, MO, USA) or anti-mouse IgG secondary antibody (catalog no., A2179; dilution, 1:2,000; Sigma-Aldrich) for 1 h at room temperature. Signals were visualized using SuperSignal West Pico Chemiluminescent Substrate (Thermo Fisher Scientific, Inc.) and the STORM 860 Molecular Imager (Amersham Biosciences, Uppsala, Sweden).</p>
</sec>
<sec>
<title>Luciferase reporter assay</title>
<p>The putative miR-30c complementary site in the 3&#x2032;-UTR of BCL9 mRNA, or mutant sequence, were cloned into the pGL3 luciferase reporter vector (Promega Corporation, Madison, WI, USA) (<xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1A</xref>). Cultured DU145 cells were cotransfected with 10&#x2013;24 ng Firefly reporter wild-type BCL9 constructs or the mutant vector (3&#x2032;-UTR-BCL9wt FLuci or 3&#x2032;-UTR-BCL9mut FLuci vectors; Promega Corporation), 3 ng <italic>Renilla</italic> reporter plasmid pGL3 and 30 nM miR-30c mimic or NC mimic. Following 48 h of transfection, PCa cells were harvested, and reporter assays were performed using a Dual-Glo&#x00AE; Luciferase Assay System (Promega Corporation) based on the manufacturer&#x0027;s protocol. The results of the relative reporter activity were normalized to the activity of the <italic>Renilla</italic> luciferase second reporter (internal control), according to the manufacturer&#x0027;s protocol. The experiment was conducted in triplicate.</p>
</sec>
<sec>
<title>Immunohistochemical analysis</title>
<p>BCL9 expression was detected by immunohistochemistry assays performed on formalin-fixed, paraffin-embedded slides of PCa and BPH tissues. The tissues were cut into 5 &#x00B5;m-thick sections. Using a Dako EnVision system (Dako Diagnostics AG, Zug, Switzerland), the slides were deparaffinized with xylene and rehydrated for further hematoxylin and eosin and immunohistochemical staining. Following proteolytic digestion (Trypsin Enzymatic Antigen Retrieval Solution; catalog no., ab970; Abcam) and peroxidase blocking with hydrogen peroxide blocking reagent (catalog no., ab94666; Abcam) of tissue slides, the slides were incubated overnight at 4&#x00B0;C with the primary antibody against BCL9 protein (ab37305; Abcam) at a dilution of 1:150. After washing, the staining was visualized with a peroxidase-labeled polymer (EnVision; Dako, Glostrup, Denamark) and DAB substrate-chromogen system (Dako) using an Olympus AX70 microscope (Olympus Corporation, Tokyo, Japan).</p>
<p>The stained slides were scored independently by two experienced pathologists in a blinded manner. If any discrepant scores were generated, the pathologists simultaneously re-examined the slide to achieve a consensus score. The percentages of positively staining cells exhibiting immunoreactivity in the cell nucleus and cytoplasm in 10 representative microscopic fields were calculated and a score of 0&#x2013;4 was assigned, as follows: 0, 0&#x0025;; 1, 1&#x2013;25&#x0025;; 2, 26&#x2013;50&#x0025;; 3, 51&#x2013;75&#x0025;; or 4, 76&#x2013;100&#x0025;. Meanwhile, the staining intensity of the cells was calculated and scored as follows: 0, no staining; 1, weakly positive; 2, moderately positive; or 3, strongly positive. The sum of the two scores was calculated to determine a final staining score. Tumor specimens with an overall score of &#x2265;3 were considered to be positive.</p>
</sec>
<sec>
<title>miRNA reverse transcription-quantitative polymerase chain reaction (RT-qPCR)</title>
<p>This assay was conducted as previously described (<xref rid="b8-ol-0-0-4161" ref-type="bibr">8</xref>). miRNA was extracted from 98 PCa frozen tissues and transfected DU145 cells using an miRNA Fast Extraction Kit (BioTeke Corporation, Beijing, China). The primers specific for miR-30c and the internal control, RNU6B, were purchased from Thermo Fisher Scientific, Inc. The primer sequences were as follows: Forward, 5&#x2032;-TGTGTTTTTATTGTTTTTGTTGTCCCA-3&#x2032; and reverse, 5&#x2032;-GGGACAGAACAGGTTAATGGGAA-3&#x2032; for miR-30c; and forward, 5&#x2032;-CTCGCTTCGGCAGCACA-3&#x2032; and reverse, 5&#x2032;-AACGCTTCACGAATTTGCGT-3&#x2032; for RNU6B. cDNA synthesis and amplification were performed according to the instructions of the All-in-One&#x2122; miRNA qRT-PCR detection kit (GeneCopoeia, Inc., Guangzhou, China) with the specific primers. PCR was performed using the MyiQ2 Two-Color Real-Time PCR Detection System (Bio-Rad Laboratories, Inc.) under the following conditions: Initial denaturation step at 95&#x00B0;C for 5 min, followed by 40 cycles at 95&#x00B0;C for 10 seconds and 60&#x00B0;C for 20 sec, with a final extension step at 72&#x00B0;C for 20 sec. All assays were conducted in triplicate. Relative quantification of miR-30c was performed using IQ5 Standard Edition Optical System version 2.0 software (Bio-Rad Laboratories, Inc.) and the comparative quantification cycle (Cq) method (<xref rid="b24-ol-0-0-4161" ref-type="bibr">24</xref>), and normalized to the expression of RNU6B. For the analysis of the possible correlations between miR-30c expression levels and BCR, the 98 PCa patients were divided into a negative and a positive expression group according to median relative expression of miR-30c.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All statistical analyses were performed using SPSS version 17.0 for Windows (SPSS, Inc., Chicago, IL, USA). Continuous variables were compared using a Students t-test. The associations between miR-30c and BCL9 expression were assessed by Spearman&#x0027;s rank correlation coefficient. Associations between BCL9 and clinicopathological variables were evaluated by Fisher&#x0027;s exact or Pearsons &#x03C7;<sup>2</sup> tests. Kaplan-Meier survival curves were generated to evaluate the effect of miR-30c and BCL9 expression levels on survival rate. A Cox proportional hazards regression model was used to establish independent factors associated with BCR. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>BCL9 is a direct target of miR-30c in PCa cells</title>
<p>The present study first investigated whether BCL9 is modulated by miR-30c in PCa cells. DU145 cells were transiently transfected with miR-30c vector or blank vector (miR-NC). Subsequent RT-qPCR analysis confirmed that the miR-30c expression level was significantly increased in cells transfected with miR-30c compared with those transfected with miR-NC (P&#x003C;0.001) (<xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1B</xref>). The cells were then used for further assays. Western blot analysis revealed that ectopic expression of miR-30c was associated with a significant reduction in the expression of BCL9 protein (P=0.007; <xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1C and D</xref>). Consistent with the role of BCL9 as a transcriptional coactivator of the Wnt signaling pathway, proteins of multiple target genes of the Wnt/&#x03B2;-catenin pathway, including c-Myc, CD44 and SOX9, were observed to be substantially downregulated in miR-30c-transfected DU145 cells compared with their expression in miR-NC-transfected cells (all P&#x003C;0.001; <xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1C</xref>) (<xref rid="b17-ol-0-0-4161" ref-type="bibr">17</xref>,<xref rid="b25-ol-0-0-4161" ref-type="bibr">25</xref>).</p>
<p>To further determine whether miR-30c may interact directly with BCL9 protein, a luciferase reporter assay was conducted. Using the databases TargetScan (<uri xlink:href="http://targetscan.org/">http://targetscan.org/</uri>), PicTar (<uri xlink:href="http://pictar.mdc-berlin.de/">http://pictar.mdc-berlin.de/</uri>) and miRDB (<uri xlink:href="http://www.mirdb.org/miRDB/">http://www.mirdb.org/miRDB/</uri>), the 3&#x2032;-UTR of BCL9 containing a sequence motif matching with the &#x2018;seed&#x2019; sequence of miR-30c was identified (<xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1A</xref>). The wild-type and mutant BCL9 3&#x2032;-UTR reporter vectors (<xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1A</xref>) were cotransfected into DU145 cells, together with miR-30c or miR-NC. The luciferase activity of wild-type, but not mutant, BCL9 3&#x2032;-UTR reporters was significantly downregulated when cotransfected with miR-30c compared with that of miR-NC-transfected cells, confirming that BCL9 is a direct target of miR-30c (P=0.004; <xref rid="f1-ol-0-0-4161" ref-type="fig">Fig. 1E</xref>).</p>
</sec>
<sec>
<title>BCL9 is upregulated in PCa tissues, and its expression is inversely correlated with miR-30c expression</title>
<p>Immunohistochemical analyses were conducted on tissue samples from a cohort comprising 98 PCa and 20 BPH cases, using an antibody specific for BCL9. Staining was predominantly distributed in the nuclei of PCa cells (<xref rid="f2-ol-0-0-4161" ref-type="fig">Fig. 2A&#x2013;C</xref>). In some sections of BPH tissues, very faint BCL9 staining was observed when compared to PCa tissues, and was considered in the negative range (<xref rid="f2-ol-0-0-4161" ref-type="fig">Fig. 2D</xref>). The positive expression rate of BCL9 in the tissues from PCa patients (52/98; 53.1&#x0025;) was significantly higher than that in normal prostate tissues (5/20; 25.0&#x0025;) (P=0.022).</p>
<p>To further investigate the association between BCL9 expression and miR-30c levels, RT-qPCR was conducted to quantify the expression of miR-30c in the samples from the 98 PCa patients. A non-parametric Spearman&#x0027;s rank correlation coefficient (r<sub>S</sub>) analysis was then conducted using the cases with both miR-30c and BCL9 protein quantification data. The results indicated that BCL9 and miR-30c expression across these cases was significantly inversely correlated (r<sub>S</sub>=0.38; P&#x003C;0.001).</p>
</sec>
<sec>
<title>BCL9 is associated with clinicopathological features</title>
<p>The possible correlation between BCL9 and clinicopathological features was further investigated in 98 PCa patients. As shown in <xref rid="tII-ol-0-0-4161" ref-type="table">Table II</xref>, increased expression levels of BCL9 were frequently observed in PCa patients with a high Gleason score (P=0.016) and BCR (P=0.020). However, a statistically significant correlation was not identified between BCL9 expression and other features, including preoperative PSA levels (P=0.326), pathological stage (P=0.073) and surgical margin (P=0.111).</p>
</sec>
<sec>
<title>Coexpression status of miR-30c and BCL9 predicts BCR</title>
<p>Our previous data indicated the involvement of miR-30c in PCa progression and suggested its potential role as an independent predictor of BCR in PCa (<xref rid="b8-ol-0-0-4161" ref-type="bibr">8</xref>). In the present study, the combined utility of these two biomarkers was investigated with regard to predicting BCR in patients who had undergone radical prostatectomy. A Kaplan-Meier analysis revealed that increased BCL9 expression (P=0.037) and reduced miR-30c expression (P=0.023) were significant predictors of shorter BCR-free survival time (<xref rid="f3-ol-0-0-4161" ref-type="fig">Fig. 3A and B</xref>). Furthermore, the group of PCa patients with miR-30c-negative and BCL9-positive expression had a significantly lower BCR-free survival relative to patients with a miR-30c-positive and BCL9-negative combined expression status (P=0.010) (<xref rid="f3-ol-0-0-4161" ref-type="fig">Fig. 3C</xref>) or to those with any other combined expression status (P=0.001) (<xref rid="f3-ol-0-0-4161" ref-type="fig">Fig. 3D</xref>).</p>
<p>When a univariate Cox proportional hazards regression model was applied, the pathological stage (P=0.001), Gleason score (P&#x003C;0.001), PSA level (P=0.001) and surgical margin (P=0.003) were identified to be significant predictors of BCR. Furthermore, a high hazard ratio (HR) for BCR was observed in patients with miR-30c-negative and BCL9-positive expression (HR, 5.79; 95&#x0025; confidence interval, 1.28&#x2013;26.19; P=0.023) (<xref rid="tIII-ol-0-0-4161" ref-type="table">Table III</xref>). On multivariate analysis, miR-30c-negative and BCL9-positive expression (HR, 5.08; P=0.048) and a higher Gleason score (HR, 6.89; P=0.006) were revealed to be independent prognostic factors for poor BCR-free survival (<xref rid="tIII-ol-0-0-4161" ref-type="table">Table III</xref>).</p>
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</sec>
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<sec sec-type="discussion">
<title>Discussion</title>
<p>Our previous study demonstrated that miR-30c serves as a tumor suppressor, and its aberrant expression is associated with PCa progression (<xref rid="b8-ol-0-0-4161" ref-type="bibr">8</xref>). However, the underlying mechanisms of the tumor-suppressive role of miR-30c have not been well described, particularly its role in the Wnt/&#x03B2;-catenin pathway. The canonical Wnt/&#x03B2;-catenin pathway constitutes a receptor-mediated signal transduction network during normal embryonic development and adult tissue homeostasis, and plays a critical role in multiple types of human cancer, including PCa (<xref rid="b26-ol-0-0-4161" ref-type="bibr">26</xref>). Although the Wnt/&#x03B2;-catenin pathway is constitutively activated in PCa, mutations that have frequently been shown to activate the pathway in other malignancies (e.g., &#x03B2;-catenin mutation or adenomatous polyposis coli truncation in colon cancers) have rarely been observed in PCa (<xref rid="b27-ol-0-0-4161" ref-type="bibr">27</xref>,<xref rid="b28-ol-0-0-4161" ref-type="bibr">28</xref>). Therefore, further investigation of the Wnt/&#x03B2;-catenin signaling components is merited.</p>
<p>Earlier studies revealed that dysregulation of BCL9 expression is an oncogenic mechanism of Wnt pathway activation (<xref rid="b29-ol-0-0-4161" ref-type="bibr">29</xref>). BCL9 serves fundamental roles in tumor progression by increasing tumor load, metastasis, angiogenesis and invasion through regulation of Wnt target genes (<xref rid="b30-ol-0-0-4161" ref-type="bibr">30</xref>,<xref rid="b31-ol-0-0-4161" ref-type="bibr">31</xref>). The current investigation identified significant overexpression of BCL9 in PCa tissues compared with that of BPH tissues. This finding is consistent with a number of previous studies that have reported elevated levels of BCL9 in other cancer types (<xref rid="b17-ol-0-0-4161" ref-type="bibr">17</xref>,<xref rid="b32-ol-0-0-4161" ref-type="bibr">32</xref>). Further investigation in the present study indicated that increased expression of BCL9 was associated with pathological predictors of PCa aggressiveness. Furthermore, Kaplan-Meier survival curves indicated that BCL9 expression was closely associated with BCR in PCa patients; those with high levels of BCL9 and low levels of miR-30c experienced earlier BCR following radical prostatectomy. Meanwhile, the Cox proportional hazards regression model revealed that BCL9 and miR-30c coexpression could serve as an independent predictor of BCR-free survival in PCa patients. These findings support the notion that BCL9 may have potential as a biomarker for PCa, and that therapeutic approaches targeting aberrant levels of BCL9 should be explored as a potential approach to improve clinical outcomes.</p>
<p>The current study identified a new signaling pathway in PCa connecting miR-30c to BCL9/Wnt/&#x03B2;-catenin transcriptional activity. The connection is achieved by the silencing of the miR-30c locus, which targets BCL9 at its 3&#x2032;-UTR. These results are in agreement with those of previous studies documenting a link between miR-30c (also denoted as miR-30c-5p) and BCL9 in other cancer types, including ovarian carcinoma and multiple myeloma (<xref rid="b19-ol-0-0-4161" ref-type="bibr">19</xref>,<xref rid="b20-ol-0-0-4161" ref-type="bibr">20</xref>). More importantly, the current analysis of expression patterns in PCa patient samples indicated that expression levels of miR-30c and BCL9 are inversely correlated, corroborating the physiological significance of a miR-30c-mediated BCL9 inhibitory mechanism in PCa biology. The other well-known functions of miR-30c include its ability to regulate the expression of several targets. For example, a previous study found that miR-30c directly targeted and downregulated Rab18 expression and inhibited the proliferation of non-small cell lung cancer cells (<xref rid="b33-ol-0-0-4161" ref-type="bibr">33</xref>). miR-30c also regulates invasion of breast cancer by targeting the cytoskeletal network genes encoding twinfilin 1 and vimentin, important for the EMT (<xref rid="b34-ol-0-0-4161" ref-type="bibr">34</xref>). Additional studies are likely to further highlight the association between miR-30c and these identified targets in PCa.</p>
<p>In conclusion, the present study demonstrated that the tumor suppressor miR-30c is involved in PCa pathogenesis, possibly by targeting BCL9, which is a known transcriptional coactivator of the Wnt/&#x03B2;-catenin signaling pathway. Furthermore, the coexpression status of BCL9 and miR-30c is associated with PCa progression. Further studies are required to validate the clinical utility of BCL9 and miR-30c as prognostic biomarkers in large and multicenter PCa patient cohorts.</p>
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<ack>
<title>Acknowledgements</title>
<p>The present study was supported by grants from the Key Projects of Huizhou Municipal Central People&#x0027;s Hospital [no. (2014)#115], the National Natural Science Foundation of China (nos. 81170699, 81272813, 81200550), the Science and Technology Project of Guangdong (no. 2014A020212035) and the Medical Research Fund of Guangdong (no. A2012489).</p>
</ack>
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</back>
<floats-group>
<fig id="f1-ol-0-0-4161" position="float">
<label>Figure 1.</label>
<caption><p>BCL9 is a direct target of miR-30c in PCa cells. (A) The sequence alignment of miR-30c, with the &#x2018;seed&#x2019; binding sequences on the 3&#x2032;-UTR region of BCL9 mRNA. (B) Reverse transcription-quantitative polymerase chain reaction verification of induced ectopic expression of miR-30c in DU145 cells following transduction of miR-30c or miR-NC (negative control). (C and D) Western blot analysis confirmed that proteins of multiple target genes of the Wnt/&#x03B2;-catenin pathway, including c-Myc, CD44, SOX9 and BCL9, were substantially downregulated in miR-30c-expressing DU145 cells. &#x03B2;-actin was used as an internal loading control. (D) Quantification of western blot revealed that ectopic expression of miR-30c significantly inhibited BCL9 protein levels in DU145 cells. (E) Luciferase activity was detected following transfection of FLuci vector (3-UTR-BCL9wt FLuci or 3-UTR-BCL9mut FLuci vectors) into miR-30c- or miR-NC-transfected DU145 cells. &#x002A;&#x002A;P&#x003C;0.01. CMV, cytomegalovirus; BCL9, B-cell lymphoma 9; miR, microRNA; PCa, prostate cancer; 3-UTR, 3-untranslated region; wt, wild type; mut, mutated.</p></caption>
<graphic xlink:href="ol-11-03-2001-g00.jpg"/>
</fig>
<fig id="f2-ol-0-0-4161" position="float">
<label>Figure 2.</label>
<caption><p>Immunohistochemical staining of BCL9 in PCa and benign prostate tissues reveals that BCL9 is upregulated in PCa tissues. Positive BCL9 staining with (A) low, (B) intermediate and (C) high expression levels in PCa observed predominantly in the cell nuclei. (D) Negative BCL9 staining in benign prostate tissue. BCL9, B-cell lymphoma 9; PCa, prostate cancer.</p></caption>
<graphic xlink:href="ol-11-03-2001-g01.jpg"/>
</fig>
<fig id="f3-ol-0-0-4161" position="float">
<label>Figure 3.</label>
<caption><p>Coexpression of miR-30c and BCL9 predicts BCR. Kaplan-Meier curves for the BCR-free survival of PCa patients according to (A) BCL9 and (B) miR-30c expression status, and (C and D) combined expression status of BCL9 and miR-30c (other groups: miR-30c-positive/BCL9-negative; miR-30c-positive/BCL9-positive; miR-30c-negative/BCL9-negative). miR, microRNA; BCL9, B-cell lymphoma 9; BCR, biochemical recurrence.</p></caption>
<graphic xlink:href="ol-11-03-2001-g02.jpg"/>
</fig>
<table-wrap id="tI-ol-0-0-4161" position="float">
<label>Table I.</label>
<caption><p>Characteristics of prostate cancer patients (n=98).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Clinicopathological feature</th>
<th align="center" valign="bottom">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Median, years</td>
<td align="center" valign="top">63</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Range, years</td>
<td align="center" valign="top">54&#x2013;83</td>
</tr>
<tr>
<td align="left" valign="top">Preoperative prostate-specific antigen (ng/ml), n</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#xFE64;4</td>
<td align="center" valign="top">17</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;4&#x2013;10</td>
<td align="center" valign="top">63</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;10</td>
<td align="center" valign="top">18</td>
</tr>
<tr>
<td align="left" valign="top">Gleason score, n</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">33</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
</tr>
<tr>
<td align="left" valign="top">Pathological tumor stage, n</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT2</td>
<td align="center" valign="top">68</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT3</td>
<td align="center" valign="top">25</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
</tr>
<tr>
<td align="left" valign="top">Follow-up, months</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Median</td>
<td align="center" valign="top">45</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Range</td>
<td align="center" valign="top">1&#x2013;128</td>
</tr>
<tr>
<td align="left" valign="top">Biochemical recurrence (months), n</td>
<td align="center" valign="top">18</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1&#x2013;12</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;13&#x2013;24</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;24</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-ol-0-0-4161" position="float">
<label>Table II.</label>
<caption><p>BCL9 expression and clinicopathological features.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">BCL9 expression, n (&#x0025;)</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Clinicopathological features</th>
<th align="center" valign="bottom">No. of patients</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Preoperative PSA (ng/ml)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.326</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;10</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">39 (49.4)</td>
<td align="center" valign="top">40 (50.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;10</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (36.8)</td>
<td align="center" valign="top">12 (63.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Gleason score</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.016</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;6</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">22 (66.7)</td>
<td align="center" valign="top">11 (33.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">21 (38.9)</td>
<td align="center" valign="top">33 (61.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;8</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3 (27.3)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (72.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pathological tumor stage</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.073</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT2</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">36 (52.9)</td>
<td align="center" valign="top">32 (47.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT3-pT4</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">10 (33.3)</td>
<td align="center" valign="top">20 (66.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Surgical margin status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.111</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">41 (50.6)</td>
<td align="center" valign="top">40 (49.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (29.4)</td>
<td align="center" valign="top">12 (70.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Biochemical recurrence</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.020</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">80</td>
<td align="center" valign="top">42 (52.5)</td>
<td align="center" valign="top">38 (47.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (22.2)</td>
<td align="center" valign="top">14 (77.8)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-4161"><p>BCL9, B-cell lymphoma 9; PSA, prostate-specific antigen.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-4161" position="float">
<label>Table III.</label>
<caption><p>Univariate and multivariate analyses with Cox proportional hazards regression model for biochemical recurrence-free survival.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Univariate</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-30c/BCL9 status</td>
<td align="left" valign="top">5.79 (1.28&#x2013;26.19)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.023</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Gleason score</td>
<td align="left" valign="top">3.39 (2.10&#x2013;5.47)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Preoperative PSA</td>
<td align="left" valign="top">1.01 (1.01&#x2013;1.04)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Pathological tumor stage</td>
<td align="left" valign="top">4.78 (1.84&#x2013;12.37)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Surgical margin status</td>
<td align="left" valign="top">4.14 (1.63&#x2013;10.53)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.003</td>
</tr>
<tr>
<td align="left" valign="top">Multivariate</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-30c/BCL9 status</td>
<td align="left" valign="top">5.08 (1.02&#x2013;25.39)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.048</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Gleason score</td>
<td align="left" valign="top">6.89 (1.75&#x2013;27.13)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.006</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Preoperative PSA</td>
<td align="left" valign="top">0.97 (0.89&#x2013;1.05)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.449</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Pathological tumor stage</td>
<td align="left" valign="top">1.29 (0.20&#x2013;5.79)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.744</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Surgical margin status</td>
<td align="left" valign="top">2.10 (0.60&#x2013;7.31)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.246</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-4161"><p>HR, hazard ratio; CI, confidence interval; miR, microRNA; BCL9, B-cell lymphoma 9; PSA, prostate-specific antigen.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
