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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2017.6621</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-6621</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Expression levels of <italic>FGFR3</italic> as a prognostic marker for the progression of primary pT1 bladder cancer and its association with mutation status</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Kang</surname><given-names>Ho Won</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Kim</surname><given-names>Ye-Hwan</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Jeong</surname><given-names>Pildu</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Park</surname><given-names>Cheol</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Kim</surname><given-names>Won Tae</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Ryu</surname><given-names>Dong Hee</given-names></name>
<xref rid="af2-ol-0-0-6621" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Cha</surname><given-names>Eun-Jong</given-names></name>
<xref rid="af3-ol-0-0-6621" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Ha</surname><given-names>Yun-Sok</given-names></name>
<xref rid="af4-ol-0-0-6621" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Kim</surname><given-names>Tae-Hwan</given-names></name>
<xref rid="af4-ol-0-0-6621" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Kwon</surname><given-names>Tae Gyun</given-names></name>
<xref rid="af4-ol-0-0-6621" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Moon</surname><given-names>Sung-Kwon</given-names></name>
<xref rid="af5-ol-0-0-6621" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Choi</surname><given-names>Yung Hyun</given-names></name>
<xref rid="af6-ol-0-0-6621" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Yun</surname><given-names>Seok-Joong</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref>
<xref rid="c1-ol-0-0-6621" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Kim</surname><given-names>Wun-Jae</given-names></name>
<xref rid="af1-ol-0-0-6621" ref-type="aff">1</xref>
<xref rid="c1-ol-0-0-6621" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-6621"><label>1</label>Department of Urology, Chungbuk National University Hospital, College of Medicine, Chungbuk National University, Cheongju, Chungcheongbuk-do 28644, Republic of Korea</aff>
<aff id="af2-ol-0-0-6621"><label>2</label>Department of Surgery, Chungbuk National University Hospital, College of Medicine, Chungbuk National University, Cheongju, Chungcheongbuk-do 28644, Republic of Korea</aff>
<aff id="af3-ol-0-0-6621"><label>3</label>Department of Biomedical Engineering, Chungbuk National University Hospital, College of Medicine, Chungbuk National University, Cheongju, Chungcheongbuk-do 28644, Republic of Korea</aff>
<aff id="af4-ol-0-0-6621"><label>4</label>Department of Urology, School of Medicine, Kyungpook National University Medical Center, Daegu 41404, Republic of Korea</aff>
<aff id="af5-ol-0-0-6621"><label>5</label>Department of Food and Biotechnology, Chungang University, Seoul 06974, Republic of Korea</aff>
<aff id="af6-ol-0-0-6621"><label>6</label>Department of Biomaterial Control, Dong-Eui University, Busan 47340, Republic of Korea</aff>
<author-notes>
<corresp id="c1-ol-0-0-6621"><italic>Correspondence to</italic>: Professor Seok-Joong Yun or Professor Wun-Jae Kim, Department of Urology, Chungbuk National University Hospital, College of Medicine, Chungbuk National University, 776 1sunhwan-ro, Seowon-gu, Cheonju, Chungcheongbuk-do 28644, Republic of Korea, E-mail: <email>sjyun@chungbuk.ac.kr</email>, E-mail: <email>wjkim@chungbuk.ac.kr</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>09</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>07</month>
<year>2017</year></pub-date>
<volume>14</volume>
<issue>3</issue>
<fpage>3817</fpage>
<lpage>3824</lpage>
<history>
<date date-type="received"><day>29</day><month>03</month><year>2016</year></date>
<date date-type="accepted"><day>28</day><month>04</month><year>2017</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year>
</permissions>
<abstract>
<p>The present study examined the utility of fibroblast growth factor receptor 3 (<italic>FGFR3</italic>) mutation status and gene expression as a prognostic marker in primary pT1 bladder cancer (BC). A total of 120 patients with primary pT1 BC were enrolled. <italic>FGFR3</italic> mutation status was determined by direct sequencing and <italic>FGFR3</italic> mRNA expression level was determined by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis. The results were compared with the clinicopathological parameters, and the prognostic value of <italic>FGFR3</italic> was evaluated by Kaplan-Meier analysis and a multivariate Cox regression test. <italic>FGFR3</italic> mutations were identified in 48/120 (40.0&#x0025;) patients with pT1 BC. <italic>FGFR3</italic> mRNA expression level was significantly higher in those with BC harboring <italic>FGFR3</italic> mutations (P&#x003C;0.001). Low <italic>FGFR3</italic> expression level was associated with high-grade tumors and cancer progression (P=0.006 and P=0.001), whereas <italic>FGFR3</italic> mutation status was not associated with cancer progression. Kaplan-Meier analysis revealed a similar result (log-rank, P&#x003C;0.001). Multivariate analysis identified low <italic>FGFR3</italic> expression level (odds ratio, 3.300; 95&#x0025; confidence interval, 1.310&#x2013;8.313; P=0.011) as an independent predictor of cancer progression. Stratification by exon site of <italic>FGFR3</italic> mutations yielded significant differences in mRNA expression level. None of the patients with BC harboring <italic>FGFR3</italic> mutations in exon 9 demonstrated disease progression. The mRNA expression level of the <italic>FGFR3</italic> gene may be used to precisely identify subsets of patients with pT1 BC that have a relatively better prognosis. The prognostic influences of <italic>FGFR3</italic> mutations may be modulated by the exon site of <italic>FGFR3</italic> mutations.</p>
</abstract>
<kwd-group>
<kwd>bladder cancer</kwd>
<kwd>fibroblast growth factor receptor 3</kwd>
<kwd>mutation</kwd>
<kwd>expression</kwd>
<kwd>prognosis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Urothelial cell carcinoma (UCC) of the bladder is the fifth most common type of tumor and the second most common cause of mortality in patients with genitourinary tract malignancies in developed countries (<xref rid="b1-ol-0-0-6621" ref-type="bibr">1</xref>). Bladder cancer (BC) comprises two long-recognized disease entities, non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC), which have distinct molecular features and clinical outcomes (<xref rid="b2-ol-0-0-6621" ref-type="bibr">2</xref>). Although 70&#x2013;80&#x0025; of patients are diagnosed with NMIBC at the time of initial presentation, high recurrence rates (50&#x2013;70&#x0025;) have been observed in these patients (<xref rid="b3-ol-0-0-6621" ref-type="bibr">3</xref>). Furthermore, about one-third of recurrent cases will progress to MIBC and eventually succumb to the disease (<xref rid="b4-ol-0-0-6621" ref-type="bibr">4</xref>). The present study acknowledges that the biology of tumors, particularly pT1 bladder tumors, of a similar stage and grade can vary greatly. Thus, identifying the patients that are at risk of developing MIBC and the patients that are not is important for appropriate disease management.</p>
<p>Currently, pathological analyses (including clinical stage and tumor grade) are key determinants for risk assessment and therapeutic decision making in BC (<xref rid="b5-ol-0-0-6621" ref-type="bibr">5</xref>). However, none of the predictive values derived from conventional histopathological parameters have demonstrated sufficient sensitivity or specificity for detecting, monitoring and determining the prognosis of BC (<xref rid="b5-ol-0-0-6621" ref-type="bibr">5</xref>,<xref rid="b6-ol-0-0-6621" ref-type="bibr">6</xref>). These limitations have led to numerous previous studies that aimed to identify molecular markers that enable clinicians to classify BCs in more detail, thereby enabling appropriate selection of the optimal treatment regimen (<xref rid="b2-ol-0-0-6621" ref-type="bibr">2</xref>). Recent genome-wide expression and sequencing studies identified the genes and signaling pathways that are key drivers of urothelial cancer and revealed a more complex picture comprising multiple molecular subclasses that traverse conventional grade and stage groupings (<xref rid="b7-ol-0-0-6621" ref-type="bibr">7</xref>,<xref rid="b8-ol-0-0-6621" ref-type="bibr">8</xref>). Numerous studies have revealed that low-grade noninvasive and high-grade invasive BC are genetically and clinically disparate entities (<xref rid="b9-ol-0-0-6621" ref-type="bibr">9</xref>,<xref rid="b10-ol-0-0-6621" ref-type="bibr">10</xref>). Low-grade noninvasive bladder tumors are characterized by gain-of-function mutations, which mainly affect classical oncogenes including fibroblast growth factor receptor 3 (<italic>FGFR3</italic>) and Harvey rat sarcoma viral oncogene homolog genes, whereas invasive tumors are characterized by loss-of-function mutations resulting in inactivation of tumor suppressors including <italic>p53</italic>, <italic>RB</italic>, and phosphate and tensin homolog (<xref rid="b11-ol-0-0-6621" ref-type="bibr">11</xref>,<xref rid="b12-ol-0-0-6621" ref-type="bibr">12</xref>). <italic>FGFR3</italic> belongs to a family of structurally associated tyrosine kinase receptors that are involved in numerous aspects of embryogenesis and tissue homeostasis, as well as being implicated in the tumorigenesis of bladder and other urothelial types of cancer, multiple myeloma and cervical cancer (<xref rid="b13-ol-0-0-6621" ref-type="bibr">13</xref>&#x2013;<xref rid="b15-ol-0-0-6621" ref-type="bibr">15</xref>). Mutated <italic>FGFR3</italic> is constitutively activated and induces a number of oncogenic signaling pathways, including the RAS/mitogen activated protein kinases (MAPK), phospholipase Cc1 (PLCc1), phosphoinositide 3-kinase (PI3K) and signal transducer and activator of transcription (STAT) signaling pathways (<xref rid="b11-ol-0-0-6621" ref-type="bibr">11</xref>,<xref rid="b16-ol-0-0-6621" ref-type="bibr">16</xref>&#x2013;<xref rid="b18-ol-0-0-6621" ref-type="bibr">18</xref>). Activating mutations in <italic>FGFR3</italic> genes are associated with genetically stable Ta and low-grade BC, which represent the favorable BC pathway (<xref rid="b19-ol-0-0-6621" ref-type="bibr">19</xref>). Activating mutations of <italic>FGFR3</italic> are observed in &#x2264;70&#x0025; of NMIBC cases, whereas overexpression of a wild-type receptor has been revealed in ~40&#x0025; of patients with invasive disease (<xref rid="b20-ol-0-0-6621" ref-type="bibr">20</xref>). Although numerous studies identified associations between <italic>FGFR3</italic> mutation status and pathological phenotype, the prognostic implications of these activating mutations has not been clearly established (<xref rid="b20-ol-0-0-6621" ref-type="bibr">20</xref>&#x2013;<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>). To the best of our knowledge, no previous studies have undertaken a comprehensive analysis of <italic>FGFR3</italic> mutation status and gene expression as prognostic markers in primary pT1 BC.</p>
<p>In the present study, the association between <italic>FGFR3</italic> gene expression level, mutation status and pathological phenotype in primary pT1 BC tissues was examined. Of note, the present study also evaluated the implications of <italic>FGFR3</italic> as a prognostic indicator for pT1 BC.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study population and follow-up protocols</title>
<p>Tissue samples were obtained from 151 consecutive patients with primary pT1 BC who underwent transurethral resection (TUR) for histologically diagnosed transitional cell carcinomas between January 1996 and December 2008 at Chungbuk National University Hospital (South Korea). The tissue samples for the present study were provided by Chungbuk National University Hospital, a member of the National Biobank of Korea, which is supported by the Ministry of Health, Welfare and Family Affairs. All tumors were macrodissected within 15 min of surgical resection, fresh-frozen in liquid nitrogen and stored at &#x2212;80&#x00B0;C until use. Each patient was independently reviewed by a genitourinary pathologist who was unaware of how the clinical data were to be used. All patients received six cycles of induction Bacillus Calmette-Guerin (BCG) therapy (12.5 mg of Tice strain BCG in 50 ml of physiological bacteriostatic-free saline solution), according to European Association of Urology guidelines, and were confirmed to be disease free 3 months following transurethral resection of the bladder tumor (TURB) following BCG induction therapy. In order to reduce confounding factors affecting the analyses and to delineate a more homogenous study population, patients undergoing immediate postoperative therapy with single-dose mitomycin C (n=8) or BCG maintenance therapy (n=12), or those diagnosed with a concomitant carcinoma <italic>in situ</italic> (n=6), were excluded from the study. To avoid the risk of under staging, cases where bladder muscle was not clearly identifiable (n=5) were also excluded. Therefore, 120 primary pT1 BC cases were finally used for analysis. The study cohort included 97 males and 23 females. The mean age of patients was 65.93 years (range, 24&#x2013;88 years).</p>
<p>Tumors were staged according to the 2002 tumor-node-metastasis classification system and the 1973 World Health Organization grading system (<xref rid="b5-ol-0-0-6621" ref-type="bibr">5</xref>,<xref rid="b24-ol-0-0-6621" ref-type="bibr">24</xref>). When a BC specimen did not include sufficient muscle or when a grade 3 tumor was detected, a second-look TURB was systematically conducted 2&#x2013;4 weeks after the initial resection. Following initial TURB, each patient was monitored according to standard guidelines (<xref rid="b5-ol-0-0-6621" ref-type="bibr">5</xref>). Standard follow-up included cystoscopy and urinary cytology at 3-monthly intervals for 2 years, then 6-monthly intervals for 2 years and yearly intervals thereafter. Radiographic evaluation including chest and abdominal computed tomography was performed on an annual basis for evaluation of the upper urinary tract and early detection of metastasis. Recurrence was defined as the recurrence of primary NMIBC at a lower or equivalent pathological stage, and progression was defined as muscular invasion, increased tumor grade or metastatic disease.</p>
</sec>
<sec>
<title>Good clinical practice protocols</title>
<p>The present study was performed in agreement with the applicable laws and regulations, good clinical practice and the ethical principles described in the Declaration of Helsinki. The study protocol was approved by the Ethics Committee of Chungbuk National University (IRB approval no. 2010-01-001; Cheongju, Korea). Written informed consent was obtained from all patients prior to enrollment in the present study. Sample collection and analysis procedures were also approved by the Institutional Review Board of Chungbuk National University.</p>
</sec>
<sec>
<title>Analysis of FGFR3 mutations</title>
<p>Genomic DNA was isolated from frozen tumor tissue specimens using the Wizard Genomic DNA Purification System kit (Promega Corporation, Madison, WI, USA), according to the manufacturers protocol. The <italic>FGFR3</italic> gene sequence was obtained from the NCBI database (<uri xlink:href="http://www.ncbi.nlm.nih.gov/gene/2261">http://www.ncbi.nlm.nih.gov/gene/2261</uri>). Three regions (exons 7, 9 and 14) harboring 11 frequent oncogenic <italic>FGFR3</italic> mutations were simultaneously amplified by polymerase chain reaction (PCR). Detailed PCR methods were performed as previously described (<xref rid="b25-ol-0-0-6621" ref-type="bibr">25</xref>). The PCR products were purified and sequenced using the BigDye Terminator v3.1 Cycle Sequencing kit and an ABI 3730xl automatic sequencer (both from Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA).</p>
</sec>
<sec>
<title>Analysis of FGFR3 mRNA expression level</title>
<p>Total RNA was extracted from tissue samples using TRIzol<sup>&#x00AE;</sup> reagent (Invitrogen, Thermo Fisher Scientific, Inc.), according to the manufacturer&#x0027;s protocol. cDNA was prepared from 1 &#x00B5;g RNA using random primers and a First-Strand cDNA Synthesis kit (GE Healthcare Life Sciences, Chalfont, UK). To quantify the expression levels of <italic>FGFR3</italic>, RT-qPCR amplification was performed using a Rotor Gene 6000 instrument (Corbett Life Science; Qiagen, Inc., Valencia, CA, USA). RT-qPCR assays were performed in micro-reaction tubes (Corbett Life Science; Qiagen, Inc.) containing SYBR Premix EX Taq (Takara Biotechnology Co., Ltd., Dalian, China). The following primers were used to amplify <italic>FGFR3</italic> (146 base pairs): Sense, 5&#x2032;-CGTACTGTGCCACTTCAGTG-3&#x2032; and antisense, 5&#x2032;-CCAGCAGCTTCTTGTCCATC-3&#x2032;. The PCR reaction was performed in a final volume of 10 &#x00B5;l, comprising 5 &#x00B5;l of 2X SYBR Premix EX Taq buffer, 0.5 &#x00B5;l of each 5&#x2032; and 3&#x2032;primer (10 pM/&#x00B5;l) and 1 &#x00B5;l sample cDNA. The products were purified using a QIAquick Extraction kit (Corbett Life Science; Qiagen), quantified in a spectrometer (MBA 2000; Perkin Elmer, Inc., Waltham, MA, USA) and sequenced using an automated laser fluorescence sequencer (ABI PRISM 3100 Genetic Analyzer; Applied Biosystems, Foster City, CA, USA). A known concentration of the PCR product was then 10-fold serially diluted from 100 to 0.1 pg/&#x00B5;l and used to establish a standard curve. The RT-qPCR conditions were 1 cycle at 96&#x00B0;C for 20 sec, followed by 40 cycles of 2 sec at 96&#x00B0;C for denaturation, 15 sec at 60&#x00B0;C for annealing and 15 sec at 72&#x00B0;C for extension. The melting program was performed at 72&#x2013;95&#x00B0;C with a heating rate of 1&#x00B0;C per 45 sec. Spectral data were captured and analyzed using Rotor-Gene Real-Time Analysis Software 6.0 Build 14 (Qiagen, Inc.). All samples were run in triplicate. GAPDH was used as an endogenous RNA reference gene. Relative quantification of gene expression was performed using the 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> calculation formula, based on Cq values for target and reference genes (<xref rid="b26-ol-0-0-6621" ref-type="bibr">26</xref>). The gene expression was normalized to the expression of GAPDH.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Continuous variables are expressed as the median and interquartile range (IQR). Differences between variables demonstrating a continuous distribution across dichotomous categories were assessed using the Mann-Whitney U test. The Fisher&#x0027;s exact and &#x03C7;<sup>2</sup> tests were used to evaluate associations between categorical variables. The Kaplan-Meier method was used to estimate time to recurrence and progression, and differences were assessed using the log-rank test. The prognostic value of <italic>FGFR</italic> mutation status and gene expression level was analyzed using univariate and multivariate Cox&#x0027;s regression test. <italic>FGFR3</italic> mRNA expression level was classified according to the quartiles of the range, and the lowest quartile (&#x003C;107.70&#x00D7;10<sup>4</sup> copies/&#x00B5;g) was assigned to the reference group for regression analysis. P&#x003C;0.05 was considered to indicate a statistically significant difference. All reported P-values are two-sided. All statistical analyses were performed using SPSS version 20.0 software (IBM SPSS, Armonk, NY, USA).</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Baseline characteristics</title>
<p>The baseline characteristics of the 120 patients with primary pT1 BC are presented in <xref rid="tI-ol-0-0-6621" ref-type="table">Table I</xref>. The study cohort included 97 males and 23 females. The mean age of patients was 65.93 years (range, 24&#x2013;88 years). The histological grade distribution was as follows: 14.2&#x0025; grade I; 65.8&#x0025; grade II and 20.0&#x0025; grade III. A total of 61 patients (50.8&#x0025;) exhibited recurrent disease and progression was observed in 20 patients (16.7&#x0025;) during a median follow-up period of 69.3 months (IQR, 29.2&#x2013;103.1 months). The median intervals for recurrence and progression were 20.7 months (range, 6.4&#x2013;133.6) and 43.0 months (range, 6.6&#x2013;115.4), respectively.</p>
<p>Of the 20 progressive cancers, 4 cases demonstrated an increased tumor grade within the equivalent pathological stage and 16 cases progressed to MIBC. A total of 15 cases underwent radical cystectomy and the other cases received palliative chemotherapy or radiation therapy: Of those, 8 patients succumbed to BC.</p>
</sec>
<sec>
<title>Association between FGFR3 mutation status and mRNA expression level in pT1 BC tissues</title>
<p><italic>FGFR3</italic> mutations were identified in 48/120 (40.0&#x0025;) patients with pT1 BC. The most common mutations were Y373C, R249C and R248C, which were observed in 16, 13 and 11 cases, respectively. <italic>FGFR3</italic> mRNA expression level was significantly higher in <italic>FGFR3</italic> mutant BC compared with in <italic>FGFR3</italic> wild-type BC (P&#x003C;0.001). The median <italic>FGFR3</italic> mRNA expression levels for mutant and wild-type BC were 728.38&#x00D7;10<sup>4</sup> (IQR, 282.23&#x2013;1287.61) copies/&#x00B5;g and 154.23&#x00D7;10<sup>4</sup> (IQR, 61.16&#x2013;419.49) copies/&#x00B5;g, respectively (<xref rid="tII-ol-0-0-6621" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>Association between FGFR3 mutation status, mRNA expression level and clinicopathological features in pT1 BC tissues</title>
<p>BC harboring wild-type <italic>FGFR3</italic> and low <italic>FGFR3</italic> expression level was associated with high-grade tumors (P=0.006). However, there were no significant differences in <italic>FGFR3</italic> mutation status or mRNA expression level according to other clinicopathological parameters, including age, tumor size and multiplicity (all P&#x003E;0.05; <xref rid="tIII-ol-0-0-6621" ref-type="table">Table III</xref>).</p>
</sec>
<sec>
<title>Prognostic value of FGFR3 mutation status and mRNA expression level in pT1 BC tissues</title>
<p>There were no significant differences in <italic>FGFR3</italic> mutation status or mRNA expression level in terms of tumor recurrence (P=0.264 and P=0.856, respectively). Patients who experienced cancer progression exhibited significantly lower expression levels of <italic>FGFR3</italic> mRNA compared with patients who did not (P=0.001; <xref rid="tIII-ol-0-0-6621" ref-type="table">Table III</xref>). Kaplan-Meier analysis revealed that patients with high <italic>FGFR3</italic> mRNA expression level demonstrated better progression-free survival compared with those with lower expression levels of <italic>FGFR3</italic> mRNA (log-rank, P&#x003C;0.001; <xref rid="f1-ol-0-0-6621" ref-type="fig">Fig. 1</xref>).</p>
<p>Multivariate Cox regression analysis identified low <italic>FGFR3</italic> expression level (odds ratio, 3.300; 95&#x0025; confidence interval, 1.310&#x2013;8.313; P=0.011) and tumor grade III (odds ratio, 2.623; 95&#x0025; confidence interval, 1.161&#x2013;5.927; P=0.020) as an independent predictor of cancer progression (<xref rid="tIV-ol-0-0-6621" ref-type="table">Table IV</xref>).</p>
</sec>
<sec>
<title>Association between FGFR3 mutation site, mRNA expression level and cancer progression in pT1 BC</title>
<p>When <italic>FGFR3</italic> mutations were categorized by exon site, mutations in exons 7 and 9 demonstrated significantly high mRNA expression levels compare with the wild type BC (each P&#x003C;0.001; <xref rid="f2-ol-0-0-6621" ref-type="fig">Fig. 2</xref>). By contrast, mutations located in exon 14 did not reveal a significant difference in <italic>FGFR3</italic> mRNA expression level compared with in the wild type BC. None of the patients with BC harboring <italic>FGFR3</italic> mutation in exon 9 demonstrated disease progression or metastasis (<xref rid="f3-ol-0-0-6621" ref-type="fig">Fig. 3</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The present study examined the utility of <italic>FGFR3</italic> mutations and <italic>FGFR3</italic> gene expression as prognostic markers in primary pT1 BC. <italic>FGFR3</italic> mRNA expression was associated with the presence of <italic>FGFR3</italic> mutation. <italic>FGFR3</italic> mRNA expression level was an independent predictor of progression. <italic>FGFR3</italic> mutation was significantly associated with tumor grade but not with cancer progression.</p>
<p><italic>FGFR3</italic> is a receptor tyrosine kinase implicated in the tumorigenesis of numerous types of myeloma, cervical cancer and urothelial carcinoma (<xref rid="b13-ol-0-0-6621" ref-type="bibr">13</xref>). There are two mechanisms that cause abnormal activation of <italic>FGFR3</italic>: Translocation of chromosome 4 to chromosome 14 (leading to overexpression) and activation of point mutations in the <italic>FGFR3</italic> gene (<xref rid="b11-ol-0-0-6621" ref-type="bibr">11</xref>). Activating mutations of <italic>FGFR3</italic> are observed in the majority of NMIBCs (35.5&#x2013;78.1&#x0025;), and the overexpression of a wild-type receptor has been identified in ~40&#x0025; of MIBC (<xref rid="b21-ol-0-0-6621" ref-type="bibr">21</xref>). Constitutive (ligand-independent) receptor activation occurs most commonly by substitution of a wild-type residue within the extracellular domain of <italic>FGFR3</italic> with a cysteine residue, resulting in dimerization and subsequent stimulation of tyrosine kinase activity (<xref rid="b11-ol-0-0-6621" ref-type="bibr">11</xref>,<xref rid="b27-ol-0-0-6621" ref-type="bibr">27</xref>). This in turn induces a number of different oncogenic signaling pathways, including the RAS/MAPK, PLCc1, PI3K and STAT pathways (<xref rid="b7-ol-0-0-6621" ref-type="bibr">7</xref>,<xref rid="b17-ol-0-0-6621" ref-type="bibr">17</xref>,<xref rid="b18-ol-0-0-6621" ref-type="bibr">18</xref>). <italic>FGFR3</italic> point mutations are found almost exclusively in exons 7, 10 and 15 (<xref rid="b19-ol-0-0-6621" ref-type="bibr">19</xref>). The most frequent extracellular domain-activating mutations are R248C and S249C, and transmembrane domain mutations include G372C and Y375C; other mutations occur at low frequencies (<xref rid="b6-ol-0-0-6621" ref-type="bibr">6</xref>,<xref rid="b16-ol-0-0-6621" ref-type="bibr">16</xref>). The frequency of <italic>FGFR3</italic> mutations at these hot spots in the present study&#x0027;s cohort were similar to those described in previous studies (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>). Cappellen <italic>et al</italic> (<xref rid="b14-ol-0-0-6621" ref-type="bibr">14</xref>) conducted the first study examining <italic>FGFR3</italic> involvement in bladder tumors. Since then, numerous studies have been performed to better understand the potential role of mutant <italic>FGFR3</italic> as an oncogenic driver, particularly in BC (<xref rid="b18-ol-0-0-6621" ref-type="bibr">18</xref>&#x2013;<xref rid="b21-ol-0-0-6621" ref-type="bibr">21</xref>,<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>,<xref rid="b28-ol-0-0-6621" ref-type="bibr">28</xref>). Previous studies also demonstrated that <italic>FGFR3</italic> mutations are associated with genetically stable Ta and low-grade BC, which represents the favorable BC pathway (<xref rid="b20-ol-0-0-6621" ref-type="bibr">20</xref>). Activating mutations in the <italic>FGFR3</italic> gene have been reported in &#x2264;75&#x0025; of low-grade and low-stage BC, but are absent or rare in carcinoma <italic>in situ</italic> and MIBC (<xref rid="b29-ol-0-0-6621" ref-type="bibr">29</xref>). The results presented in the present study confirm previous studies demonstrating that the presence of <italic>FGFR3</italic> mutations is significantly associated with low tumor grade (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>). The association between <italic>FGFR3</italic> mutations and pathological phenotype has been well established, but the prognostic significance of <italic>FGFR3</italic> mutations in BC remains poorly defined (<xref rid="b20-ol-0-0-6621" ref-type="bibr">20</xref>). A previous study by van Rhijn <italic>et al</italic> (<xref rid="b19-ol-0-0-6621" ref-type="bibr">19</xref>) reported that <italic>FGFR3</italic> mutations were an independent predictor of recurrence in NMIBC. BC recurrence was more common in patients whose initial tumor was classified as wild-type rather than as harboring a mutant <italic>FGFR3</italic> gene. Conversely, a large prospective study of 772 patients revealed a significantly higher rate of recurrence in patients harboring an <italic>FGFR3</italic> mutation compared with in those with a <italic>FGFR3</italic> wild-type tumor (<xref rid="b22-ol-0-0-6621" ref-type="bibr">22</xref>). Following stratification according to tumor stage and grade, the prognostic value of the <italic>FGFR3</italic> mutation in terms of tumor recurrence appeared to be restricted to pTaG1 tumors, and a previous study suggested that additional molecular alterations within higher grade/stage tumors overrode the association between <italic>FGFR3</italic> mutation and prognosis (<xref rid="b22-ol-0-0-6621" ref-type="bibr">22</xref>). In addition, there is certain evidence supporting the prognostic value of <italic>FGFR3</italic> mutations for predicting the risk of progression (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>,<xref rid="b30-ol-0-0-6621" ref-type="bibr">30</xref>). The exact prognostic role of these mutations with respect to NMIBC progression has not yet been fully elucidated; however, two recently published studies suggested the possibility of a progression-associated prognostic indicator for NMIBC (<xref rid="b4-ol-0-0-6621" ref-type="bibr">4</xref>,<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>,<xref rid="b30-ol-0-0-6621" ref-type="bibr">30</xref>). A study by van Rhijn <italic>et al</italic> (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>) examined the distribution and clinical outcome of <italic>FGFR3</italic> and P53 alterations in 132 patients with primary pT1 BC. Multivariate analyses revealed that <italic>FGFR3</italic> mutation status was a significant prognostic factor for progression. Another study by Burger <italic>et al</italic> (<xref rid="b30-ol-0-0-6621" ref-type="bibr">30</xref>) revealed that <italic>FGFR3</italic> status did discriminate progressors from non-progressors within a subset of patients with high-grade BC. Although the design and outcome evaluations of the present study were similar to previous studies, the present study demonstrated a different result in which <italic>FGFR3</italic> mutation status did not have prognostic significance in terms of tumor recurrence or progression. Numerous factors may account for these discrepant results. Firstly, the resent study adopted strict exclusion criteria to eliminate possible interference. To delineate a more homogenous study population, patients who received intravesical chemotherapy or BCG maintenance therapy or those diagnosed with a concomitant carcinoma <italic>in situ</italic> were excluded from the study. Although van Rhijn <italic>et al</italic> (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>) specifically analyzed patients with primary pT1 BC who received BCG, 35&#x0025; of BC cases were concomitant carcinoma <italic>in situ</italic>, which frequently resembles a muscle invasive disease due to its aggressive biological features. It is also possible that the participants in the present study had different tumor characteristics. In the study by Burger <italic>et al</italic> (<xref rid="b30-ol-0-0-6621" ref-type="bibr">30</xref>), the majority of patients exhibited a relatively favorable tumor characteristic, 81&#x0025; of pTa tumor and 89&#x0025; of G1-2 tumor, whereas van Rhijn <italic>et al</italic> (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>) enrolled patients with a primary diagnosis of pT1 and majority of the patients exhibited high-grade tumors (80&#x0025;). The results of the present study were also acquired from a homogenous population with a primary diagnosis of pT1 and 65&#x0025; of T1 BC was Grade II. Tumor staging and grading were reassigned by one genitourinary pathologist; however, only 20&#x0025; of T1 BC was assigned to grade III. The progression rate of the BC cohort was lower compared with in the study by van Rhijn <italic>et al</italic> (<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>) and this may be due to these tumor characteristics. In the present study, <italic>FGFR3</italic> mutant BC was associated with a favorable tumor grade and high <italic>FGFR3</italic> mRNA expression level, but it did not affect prognostic impact on progression. Further large cohort collaboration studies should be performed to confirm the prognostic role of <italic>FGFR3</italic> mutation in pT1 BC.</p>
<p>The majority of previous studies focused on <italic>FGFR3</italic> mutation status and protein expression level with respect to pathological phenotype and oncological outcome (<xref rid="b16-ol-0-0-6621" ref-type="bibr">16</xref>,<xref rid="b19-ol-0-0-6621" ref-type="bibr">19</xref>,<xref rid="b21-ol-0-0-6621" ref-type="bibr">21</xref>,<xref rid="b23-ol-0-0-6621" ref-type="bibr">23</xref>,<xref rid="b28-ol-0-0-6621" ref-type="bibr">28</xref>). At present, little is known about the association between mutation status and <italic>FGFR3</italic> mRNA expression level in BC (<xref rid="b28-ol-0-0-6621" ref-type="bibr">28</xref>). A study by Bernard-Pierrot <italic>et al</italic> (<xref rid="b27-ol-0-0-6621" ref-type="bibr">27</xref>) investigated the association between <italic>FGFR3</italic> mRNA expression levels and <italic>FGFR3</italic> status, and demonstrated that high expression levels of <italic>FGFR3</italic> correlated with the presence of a mutated <italic>FGFR3</italic> gene. However, the level of <italic>FGFR3</italic> mRNA was determined by semi-quantitative radioactive RT-qPCR, and they did not identify a significant association between <italic>FGFR3</italic> mRNA expression levels and tumor characteristics. Furthermore, as far as can be ascertained, no previous study has addressed the prognostic implications of <italic>FGFR3</italic> mRNA expression level in BC. The present study revealed that lower <italic>FGFR3</italic> mRNA expression level was an independent predictor of progression. <italic>FGFR3</italic> mRNA expression level may be useful for predicting the outcome of high-risk refractory tumors in pT1 BC prior to their progression. The present study further analyzed the <italic>FGFR3</italic> mRNA expression categorized by exon site, which encode various functional domains of FGFR3 protein, including exon 7 (immunoglobulin-like domain: Codon 248, 249), exon 9 (transmembrane domain: Codon 370, 371, 373, and 391) and exon 14 (tyrosine kinase domain: Codon 650). Of note, the present study demonstrated that mutations in exon 7 and 9 revealed significant high <italic>FGFR3</italic> mRNA expression levels compare with in the wild type BC. Mutations located in exon 14 did not demonstrate significant difference in <italic>FGFR3</italic> mRNA expression level compare with the wild type BC. The present study could not conduct survival analysis due to the limited number of progression events. However, none of the <italic>FGFR3</italic> mutations in exon 9 led to disease progression or metastasis. Conversely, among the 3 patients with harboring mutant BC located in exon 14, 1 patient demonstrated cancer progression within 2 years of short interval. It was suggested that prognostic influences of <italic>FGFR3</italic> mutations may be modulated by the mutation site of the <italic>FGFR3</italic> gene, but this requires further investigation.</p>
<p>A possible limitation of the present study is that <italic>FGFR3</italic> protein levels were not evaluated. Further studies should include these experiments to better understand the association between activating mutations of <italic>FGFR3</italic>, mRNA expression level and protein expression level. In addition, the sample size was relatively small, which may reduce the statistical power. Thus, further collaborative studies are required in order to confirm the prognostic role of <italic>FGFR3</italic> mutation and gene expression in pT1 BC.</p>
<p>In conclusion, the results of the present study suggested that <italic>FGFR3</italic> mRNA expression level may be a useful tool for providing a more accurate prognosis for individual patients with pT1 BC. Our preliminary analyses suggested that prognostic influences of <italic>FGFR3</italic> mutations may be modulated by the mutation site of the <italic>FGFR3</italic> gene; however, results are preliminary and thus require validation.</p>
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<title>Acknowledgements</title>
<p>This study was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT &#x0026; Future Planning (grant no. NRF-2015R1A2A2A03004100) and by the International Science and Business Belt Program through the Ministry of Science, ICT and Future Planning (grant no. 2016K000297). The specimens for this study were provided by Chungbuk National University Hospital, a member of the National Biobank of Korea, which is supported by the Ministry of Health, Welfare and Family Affairs. The authors would like to thank Ms. Eun-Ju Shim from the National Biobank of Korea at Chungbuk National University Hospital for sample preparation and technical assistance.</p>
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</back>
<floats-group>
<fig id="f1-ol-0-0-6621" position="float">
<label>Figure 1.</label>
<caption><p>Kaplan-Meier curves for predicting progression-free survival according to <italic>FGFR3</italic> mRNA expression level. Cutoff value was 107.70&#x00D7;10<sup>4</sup> copies/&#x00B5;g. <italic>FGFR3</italic>, fibroblast growth factor receptor 3.</p></caption>
<graphic xlink:href="ol-14-03-3817-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-6621" position="float">
<label>Figure 2.</label>
<caption><p>Differences in <italic>FGFR3</italic> mRNA expression level according to <italic>FGFR3</italic> mutation status and mutation exon site. <italic>FGFR3</italic>, fibroblast growth factor receptor 3.</p></caption>
<graphic xlink:href="ol-14-03-3817-g01.tif"/>
</fig>
<fig id="f3-ol-0-0-6621" position="float">
<label>Figure 3.</label>
<caption><p>Kaplan-Meier curves for predicting progression-free survival according to <italic>FGFR3</italic> mutation status and mutation exon site. <italic>FGFR3</italic>, fibroblast growth factor receptor 3; BC, bladder cancer.</p></caption>
<graphic xlink:href="ol-14-03-3817-g02.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-6621" position="float">
<label>Table I.</label>
<caption><p>Baseline characteristics of the patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">Number (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mean age &#x00B1; SD, years (range)</td>
<td align="center" valign="top">65.93&#x00B1;12.93 (24&#x2013;88)</td>
</tr>
<tr>
<td align="left" valign="top">Median follow-up, months (IQR)</td>
<td align="center" valign="top">69.3 (29.2&#x2013;103.1)</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">97 (80.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">23 (19.2)</td>
</tr>
<tr>
<td align="left" valign="top">Smoking (ex-or current)</td>
<td align="center" valign="top">51 (42.5)</td>
</tr>
<tr>
<td align="left" valign="top">Tumor size (cm)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;3</td>
<td align="center" valign="top">49 (40.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;3</td>
<td align="center" valign="top">71 (59.2)</td>
</tr>
<tr>
<td align="left" valign="top">Multiplicity</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Single</td>
<td align="center" valign="top">54 (45.0)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Multiple</td>
<td align="center" valign="top">66 (55.0)</td>
</tr>
<tr>
<td align="left" valign="top">Grade</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I</td>
<td align="center" valign="top">17 (14.2)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;II</td>
<td align="center" valign="top">79 (65.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III</td>
<td align="center" valign="top">24 (20.0)</td>
</tr>
<tr>
<td align="left" valign="top">Recurrence</td>
<td align="center" valign="top">61 (50.8)</td>
</tr>
<tr>
<td align="left" valign="top">Progression</td>
<td align="center" valign="top">20 (16.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-6621"><p>SD, standard deviation; IQR, interquartile range.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-6621" position="float">
<label>Table II.</label>
<caption><p>Association between <italic>FGFR3</italic> mutation status and mRNA expression level in pT1 BC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom"><italic>FGFR3</italic> mutation</th>
<th align="center" valign="bottom">Number (&#x0025;)</th>
<th align="center" valign="bottom">mRNA expression level, median (IQR; &#x00D7;10<sup>4</sup> copies/&#x00B5;g)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Wild-type</td>
<td align="center" valign="top">72 (60.0)</td>
<td align="center" valign="top">154.23</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn2-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td/>
<td/>
<td align="center" valign="top">(61.16&#x2013;419.49)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Mutant</td>
<td align="center" valign="top">48 (40.0)</td>
<td align="center" valign="top">728.38</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="center" valign="top">(282.23&#x2013;1287.61)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;R248C</td>
<td align="center" valign="top">11</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;S249C</td>
<td align="center" valign="top">13</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;G370C</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;S371C</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Y373C</td>
<td align="center" valign="top">16</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;A391E</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;K650M</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;K650E</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;K650T</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-6621"><label>a</label><p>P-value was based on the Mann-Whitney U test for wild-type vs. mutant. One patient exhibited a concurrent mutation in R248C and K650E. <italic>FGFR3</italic>, fibroblast growth factor receptor 3; BC, bladder cancer.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-6621" position="float">
<label>Table III.</label>
<caption><p>Association between <italic>FGFR3</italic> mutation status, mRNA expression level and clinicopathological features in pT1 BC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><italic>FGFR3</italic> mutation</th>
<th/>
<th/>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
<th/>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">Wild-type (n=72)</th>
<th align="center" valign="bottom">Mutation (n=48)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">mRNA expression level, median (IQR; &#x00D7;10<sup>4</sup> copies/&#x00B5;g)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td align="center" valign="top">0.350<sup><xref rid="tfn4-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
<td/>
<td align="center" valign="top">0.772<sup><xref rid="tfn5-ol-0-0-6621" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">56 (77.8)</td>
<td align="center" valign="top">41 (85.4)</td>
<td/>
<td align="center" valign="top">304.04 (100.58&#x2013;848.86)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">16 (22.2)</td>
<td align="center" valign="top">7 (14.6)</td>
<td/>
<td align="center" valign="top">263.43 (128.46&#x2013;514.87)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor size</td>
<td/>
<td/>
<td align="center" valign="top">0.349<sup><xref rid="tfn4-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
<td/>
<td align="center" valign="top">0.056<sup><xref rid="tfn5-ol-0-0-6621" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;3 cm</td>
<td align="center" valign="top">32 (44.4)</td>
<td align="center" valign="top">17 (35.4)</td>
<td/>
<td align="center" valign="top">219.23 (69.98&#x2013;545.59)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;3 cm</td>
<td align="center" valign="top">40 (55.6)</td>
<td align="center" valign="top">31 (64.6)</td>
<td/>
<td align="center" valign="top">369.27 (146.93&#x2013;956.35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Multiplicity</td>
<td/>
<td/>
<td align="center" valign="top">0.708<sup><xref rid="tfn4-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
<td/>
<td align="center" valign="top">0.945<sup><xref rid="tfn5-ol-0-0-6621" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Single</td>
<td align="center" valign="top">31 (43.1)</td>
<td align="center" valign="top">23 (47.9)</td>
<td/>
<td align="center" valign="top">272.10 (107.73&#x2013;1116.69)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Multiple</td>
<td align="center" valign="top">41 (56.9)</td>
<td align="center" valign="top">25 (52.1)</td>
<td/>
<td align="center" valign="top">336.62 (98.00&#x2013;727.14)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Grade</td>
<td/>
<td/>
<td align="center" valign="top">0.001<sup><xref rid="tfn4-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
<td/>
<td align="center" valign="top">0.006<sup><xref rid="tfn6-ol-0-0-6621" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (8.3)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11 (22.9)</td>
<td/>
<td align="center" valign="top">453.92 (242.84&#x2013;1076.38)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;II</td>
<td align="center" valign="top">44 (61.1)</td>
<td align="center" valign="top">35 (72.9)</td>
<td/>
<td align="center" valign="top">342.25 (119.95&#x2013;1038.87)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III</td>
<td align="center" valign="top">22 (30.6)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (4.2)</td>
<td/>
<td align="center" valign="top">130.04 (33.47&#x2013;306.05)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Recurrence</td>
<td/>
<td/>
<td align="center" valign="top">0.264<sup><xref rid="tfn4-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
<td/>
<td align="center" valign="top">0.856<sup><xref rid="tfn5-ol-0-0-6621" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">32 (44.4)</td>
<td align="center" valign="top">27 (56.2)</td>
<td/>
<td align="center" valign="top">304.04 (127.82&#x2013;685.67)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">40 (55.6)</td>
<td align="center" valign="top">21 (43.8)</td>
<td/>
<td align="center" valign="top">286.62 (78.73&#x2013;869.24)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Progression</td>
<td/>
<td/>
<td align="center" valign="top">0.050<sup><xref rid="tfn4-ol-0-0-6621" ref-type="table-fn">a</xref></sup></td>
<td/>
<td align="center" valign="top">0.001<sup><xref rid="tfn5-ol-0-0-6621" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">56 (77.8)</td>
<td align="center" valign="top">44 (91.7)</td>
<td/>
<td align="center" valign="top">367.78 (132.51&#x2013;883.11)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">16 (22.2)</td>
<td align="center" valign="top">4 (8.3)</td>
<td/>
<td align="center" valign="top">78.73 (22.57&#x2013;302.03)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-6621"><p>P-values were obtained from</p></fn>
<fn id="tfn4-ol-0-0-6621"><label>a</label><p>Fisher&#x0027;s exact test</p></fn>
<fn id="tfn5-ol-0-0-6621"><label>b</label><p>Mann-Whitney U-test</p></fn>
<fn id="tfn6-ol-0-0-6621"><label>c</label><p>Kurskal-Wallis Test. <italic>FGFR3</italic>, fibroblast growth factor receptor 3; IQR, interquartile range; SD, standard deviation; BC, bladder cancer.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-0-0-6621" position="float">
<label>Table IV.</label>
<caption><p>Univariate and multivariate Cox regression models for the risk of progression in primary T1 BC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Univariate analysis</th>
<th align="center" valign="bottom" colspan="2">Multivariate analysis of <italic>FGFR3</italic> mutation</th>
<th align="center" valign="bottom" colspan="2">Multivariate analysis of <italic>FGFR3</italic> expression level</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</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">Age</td>
<td align="center" valign="top">1.020 (0.983&#x2013;1.058)</td>
<td align="center" valign="top">0.289</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Gender (male)</td>
<td align="center" valign="top">0.996 (0.332&#x2013;2.984)</td>
<td align="center" valign="top">0.994</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking history (yes)</td>
<td align="center" valign="top">1.263 (0.522&#x2013;3.057)</td>
<td align="center" valign="top">0.605</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Size (&#x003E;3 cm)</td>
<td align="center" valign="top">1.185 (0.484&#x2013;2.902)</td>
<td align="center" valign="top">0.711</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Multiplicity (multiple)</td>
<td align="center" valign="top">1.676 (0.668&#x2013;4.205)</td>
<td align="center" valign="top">0.271</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Grade (I&#x2013;II vs. III)</td>
<td align="center" valign="top">3.448 (1.401&#x2013;8.488)</td>
<td align="center" valign="top">0.007</td>
<td align="center" valign="top">3.014 (1.290&#x2013;7.043)</td>
<td align="center" valign="top">0.011</td>
<td align="center" valign="top">2.623 (1.161&#x2013;5.927)</td>
<td align="center" valign="top">0.020</td>
</tr>
<tr>
<td align="left" valign="top"><italic>FGFR3</italic> mutation (Wt)</td>
<td align="center" valign="top">2.643 (0.883&#x2013;7.917)</td>
<td align="center" valign="top">0.082</td>
<td align="center" valign="top">1.549 (0.468&#x2013;5.125)</td>
<td align="center" valign="top">0.473</td>
<td align="center" valign="top">Not applicable</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Low <italic>FGFR3</italic> expression level (&#x003C;107.70&#x00D7;10<sup>4</sup> copies/&#x00B5;g)</td>
<td align="center" valign="top">4.586 (1.890&#x2013;11.127)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">Not applicable</td>
<td/>
<td align="center" valign="top">3.300 (1.310&#x2013;8.313)</td>
<td align="center" valign="top">0.011</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn7-ol-0-0-6621"><p><italic>FGFR3</italic>, fibroblast growth factor receptor 3; Wt, wild-type; HR, hazard ratio; CI, confidence interval; BC, bladder cancer.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
