<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2018.8518</article-id>
<article-id pub-id-type="publisher-id">mmr-17-04-5328</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Upregulation of long non-coding RNA CCAT2 indicates a poor prognosis and promotes proliferation and metastasis in intrahepatic cholangiocarcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Bai</surname><given-names>Jian-Guo</given-names></name>
<xref rid="af1-mmr-17-04-5328" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Tang</surname><given-names>Rui-Feng</given-names></name>
<xref rid="af1-mmr-17-04-5328" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Shang</surname><given-names>Jun-Feng</given-names></name>
<xref rid="af2-mmr-17-04-5328" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Qi</surname><given-names>Shuai</given-names></name>
<xref rid="af3-mmr-17-04-5328" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Yu</surname><given-names>Guo-Dong</given-names></name>
<xref rid="af4-mmr-17-04-5328" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Sun</surname><given-names>Chao</given-names></name>
<xref rid="af1-mmr-17-04-5328" ref-type="aff">1</xref>
<xref rid="c1-mmr-17-04-5328" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-mmr-17-04-5328"><label>1</label>Department of Hepatobiliary Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China</aff>
<aff id="af2-mmr-17-04-5328"><label>2</label>Department of General Surgery, The People&#x0027;s Hospital of Daming, Handan, Hebei 056900, P.R. China</aff>
<aff id="af3-mmr-17-04-5328"><label>3</label>Second Department of Surgery, The People&#x0027;s Hospital of Luancheng, Shijiazhuang, Hebei 051430, P.R. China</aff>
<aff id="af4-mmr-17-04-5328"><label>4</label>Department of Hepatobiliary Surgery, The Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-17-04-5328"><italic>Correspondence to</italic>: Dr Chao Sun, Department of Hepatobiliary Surgery, The Fourth Hospital of Hebei Medical University, 12 Jiangkang Road, Shijiazhuang, Hebei 050011, P.R. China, E-mail: <email>hbmunisc@126.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub"><month>04</month><year>2018</year></pub-date>
<pub-date pub-type="epub"><day>30</day><month>01</month><year>2018</year></pub-date>
<volume>17</volume>
<issue>4</issue>
<fpage>5328</fpage>
<lpage>5335</lpage>
<history>
<date date-type="received"><day>24</day><month>07</month><year>2017</year></date>
<date date-type="accepted"><day>02</day><month>11</month><year>2017</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year>
</permissions>
<abstract>
<p>Intrahepatic cholangiocarcinoma (IHCC) is an aggressive cancer with a poor survival rate and is the second most common type of primary cancer of the hepatobiliary system. At present, the molecular mechanisms of IHCC initiation and progression remain unclear. Recent evidence has indicated that long non-coding RNAs (lncRNAs) serve a crucial role in cancer development; however, the functional role of lncRNAs in IHCC has not been investigated in detail. In the present study, a marked overexpression of lncRNA colon cancer-associated transcript 2 (CCAT2) was observed in IHCC cell lines and clinical specimens. Statistical analysis of IHCC clinicopathological characteristics and CCAT2 expression data revealed that high CCAT2 expression levels correlated with microvascular invasion, differentiation grade, tumor (T), lymph node (N), metastasis (M) and overall TNM stages of IHCC (P&#x003C;0.05). Kaplan-Meier analysis demonstrated that CCAT2 upregulation was associated with poor overall survival and progression-free survival in IHCC. Furthermore, high CCAT2 expression was identified as an independent risk factor of IHCC poor prognosis in both univariate and multivariate Cox regression analyses. The role of CCAT2 in promoting IHCC cell proliferation, motility and invasion was further confirmed with <italic>in vitro</italic> assays. Therefore, CCAT2 may promote IHCC progression and metastasis, and may be a promising prognostic biomarker and therapeutic target in IHCC.</p>
</abstract>
<kwd-group>
<kwd>colon cancer-associated transcript 2</kwd>
<kwd>prognosis</kwd>
<kwd>proliferation</kwd>
<kwd>metastasis</kwd>
<kwd>cholangiocarcinoma</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Intrahepatic cholangiocarcinoma (IHCC) originates from the biliary epithelial cells within the liver (<xref rid="b1-mmr-17-04-5328" ref-type="bibr">1</xref>) and is the second most common type of primary liver tumor, the first being hepatocellular carcinoma. Although IHCC is a relatively rare cancer, accounting for 10&#x2013;15&#x0025; of primary liver cancers (<xref rid="b2-mmr-17-04-5328" ref-type="bibr">2</xref>), the global incidence of IHCC has increased over the past few decades (<xref rid="b1-mmr-17-04-5328" ref-type="bibr">1</xref>). Currently, surgical resection is the only curative method of IHCC treatment. However, there are no specific markers for IHCC identified that may aid in early diagnosis (<xref rid="b3-mmr-17-04-5328" ref-type="bibr">3</xref>), and patients with IHCC are usually asymptomatic until an advanced stage, with a surgical resection rate of ~30&#x0025; (<xref rid="b4-mmr-17-04-5328" ref-type="bibr">4</xref>). Additionally, recurrence is reported in 46&#x2013;65&#x0025; of patients following resection (<xref rid="b5-mmr-17-04-5328" ref-type="bibr">5</xref>), and patients with unresectable IHCC typically succumb within 12&#x2013;24 months following diagnosis owing to the limited adjuvant therapeutic strategies available (<xref rid="b6-mmr-17-04-5328" ref-type="bibr">6</xref>). Therefore, it is crucial to elucidate the exact molecular mechanisms of IHCC to identify more valuable diagnostic markers and therapeutic targets.</p>
<p>Accumulating evidence has revealed that long non-coding RNAs (lncRNAs) are involved in a broad range of cellular processes, including the regulation of gene expression, genomic imprinting, chromatin modification, transcription and post-translational modification (<xref rid="b7-mmr-17-04-5328" ref-type="bibr">7</xref>). lncRNAs have also been demonstrated to be involved in cancer initiation and development (<xref rid="b8-mmr-17-04-5328" ref-type="bibr">8</xref>,<xref rid="b9-mmr-17-04-5328" ref-type="bibr">9</xref>). A recent study revealed that lncRNAs are strongly associated with the clinicopathological outcomes and prognosis of various cancers (<xref rid="b10-mmr-17-04-5328" ref-type="bibr">10</xref>). Notably, lncRNAs exhibit cancer and lineage-specific expression patterns, indicating that they may be drivers of cancer biology and may have potential as clinical biomarkers (<xref rid="b10-mmr-17-04-5328" ref-type="bibr">10</xref>,<xref rid="b11-mmr-17-04-5328" ref-type="bibr">11</xref>). The lncRNA colon cancer-associated transcript 2 (CCAT2) has been demonstrated to promote colorectal cancer growth, metastasis and chromosomal instability through the upregulation of MYC and WNT expression (<xref rid="b12-mmr-17-04-5328" ref-type="bibr">12</xref>). CCAT2 is an lncRNA that encompasses the rs6983267 single-nucleotide polymorphism (SNP) located on chromosome 8q24.21. Increased cancer risk from this SNP variant has been linked to several types of cancer, including prostate, ovarian and inflammatory breast cancer (<xref rid="b13-mmr-17-04-5328" ref-type="bibr">13</xref>,<xref rid="b14-mmr-17-04-5328" ref-type="bibr">14</xref>). Mutations in 8q24 have also been frequently detected in biliary cancers and are included in the pancreaticobiliary probe set for early cancer detection (<xref rid="b15-mmr-17-04-5328" ref-type="bibr">15</xref>). A meta-analysis of the ability of CCAT2 to predict metastasis and poor prognosis confirmed that high CCAT2 expression was associated with advanced tumor stage and may predict poor survival in cancers and therefore may serve as a novel prognostic marker and therapeutic target (<xref rid="b16-mmr-17-04-5328" ref-type="bibr">16</xref>). However, to the best of our knowledge, the functional role of CCAT2 in IHCC has not been investigated.</p>
<p>The present study aimed to investigate the expression levels of lncRNA CCAT2 in IHCC cells and clinical specimens. The statistical association between CCAT2 levels and IHCC clinicopathological characteristics was calculated to analyze the clinical significance of CCAT2 in IHCC. The contribution of CCAT2 in IHCC prognostic prediction was investigated and the proliferative and invasive ability of IHCC cell with either CCAT2 knockdown or upregulated expression was evaluated by <italic>in vitro</italic> assay.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patients and tissue samples</title>
<p>IHCC tissues and paired adjacent non-tumorous tissues (n=106) were collected from the patients with IHCC who underwent curative surgical resection between January 2008 and October 2015 at The Fourth Hospital of Hebei Medical University (Shijiazhuang, China). Tumor and adjacent non-tumorous tissues were isolated. Non-tumorous tissues were obtained from &#x2265;1 cm away from the tumor border and were confirmed to contain no existing tumor cells. Following resection, the collected paired tissue samples were frozen with liquid nitrogen and stored at &#x2212;80&#x00B0;C until further use. No patients received anticancer therapies prior to surgery. Patients diagnosed with more than two malignances were excluded from the study. Written informed consent was obtained from each patient. This study was approved by The Ethics Committee of The Fourth Hospital of Hebei Medical University (Shijiazhuang, China).</p>
</sec>
<sec>
<title>Cell culture and transfection</title>
<p>The IHCC cell lines HUH28, HuCCT1, RBE and HCCC9810 and the immortalized human cholangiocyte-derived cell line H69 were all purchased from The Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). All cell lines were cultured in RPMI-1640 medium (HuCCT1, HCCC9810 and RBE) or Dulbecco&#x0027;s modified Eagle&#x0027;s medium (DMEM) (HUH28), supplemented with 10&#x0025; fetal bovine serum (all from Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) and 1&#x0025; penicillin/streptomycin in an atmosphere of 5&#x0025; CO<sub>2</sub> at 37&#x00B0;C.</p>
<p>lncRNA CCAT2 overexpression vector (pcDNA3.1-CCAT2), control vector (pcDNA3.1-vector) and non-targeting small interfering (si)RNA negative control (siNC) were all purchased from Genewiz, Inc. (South Plainfield, NJ, USA). CCAT2 siRNA (iCCAT2.1 and siCCAT2.2) were designed using the Custom RNAi Design Tool on the Integrated DNA Technologies (IDT) website (<uri xlink:href="http://sg.idtdna.com/site">http://sg.idtdna.com/site</uri>) and synthesized by Genewiz, Inc. Transfection was performed with Lipofectamine<sup>&#x00AE;</sup> 2000 (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA), according to the manufacturer&#x0027;s instructions. Subsequent experiments were performed 24 h after transfection.</p>
</sec>
<sec>
<title>Reverse transcription quantitative-polymerase chain reaction (RT-qPCR)</title>
<p>TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.) was used to extract total RNA from clinical specimens or cultured cells, according to the manufacturer&#x0027;s instructions. The concentration and purity of the RNA were determined with a NanoDrop 1000 spectrophotometer (Thermo Fisher Scientific, Inc.). cDNA was reverse transcribed using 2 &#x00B5;g extracted RNA with the PrimeScript One-Step RT-PCR kit (Takara Biotechnology Co., Ltd., Dalian, China). qPCR was performed using a SYBR PrimeScript RT-PCR kit (Takara Biotechnology Co., Ltd.) with the Mx3005P qPCR System (Agilent Technologies, Inc., Santa Clara, CA, USA), according to the manufacturer&#x0027;s instructions. The PCR cycling conditions were as follows: initial denaturation at 95&#x00B0;C for 5 min, 40 cycles of denaturation at 95&#x00B0;C for 30 sec, annealing at 50&#x00B0;C for 30 sec and extension at 72&#x00B0;C for 30 sec. The expression of lncRNA CCAT2 from tissue samples or cultured cells was normalized to GAPDH and compared using the 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> method (<xref rid="b17-mmr-17-04-5328" ref-type="bibr">17</xref>). The primer sequences were: CCAT2 forward, 5&#x2032;-CCCTGGTCAAATTGCTTAACCT-3&#x2032; and reverse, 5&#x2032;-TTATTCGTCCCTTTTTATGGAT-3&#x2032;; GADPH forward, 5&#x2032;-ACCCACTCCTCCACCTTTGAC-3&#x2032; and reverse, 5&#x2032;-TGTTGCTGTAGCCAAATTCGTT-3&#x2032;.</p>
</sec>
<sec>
<title>MTT assay</title>
<p>Cells (2,000/well) were seeded into 96-well plates for incubation at 37&#x00B0;C, and MTT (10 &#x00B5;l, 10 mg/ml) was added to the medium at the indicated time (0, 24, 48, 72 and 96 h following the initial incubation). The plates were incubated for another 4 h at 37&#x00B0;C, and dimethylsulfoxide (100 &#x00B5;l) was added to dissolve the purple formazan crystals. The absorbance was subsequently measured by a microplate spectrophotometer (Dynex Technologies, Inc., Sullyfield, VA, USA) at a wavelength of 490 nm. Each assay was conducted in triplicate and repeated at least three times.</p>
</sec>
<sec>
<title>Colony formation assay</title>
<p>Cells (1,500 cells/dish) were seeded in 6 cm dishes and incubated in an atmosphere of 5&#x0025; CO<sub>2</sub> at 37&#x00B0;C for 7 days until the colonies were large enough to be clearly discerned. Colonies were defined as groups of &#x003E;50 cells and were counted by light microscopy (&#x00D7;10). Each assay was conducted in triplicate and repeated at least three times.</p>
</sec>
<sec>
<title>Transwell and Matrigel assay</title>
<p>Cell migratory ability was evaluated using a Transwell system (pore size, 8.0 &#x00B5;m; Sigma-Aldrich; Merck KGaA) Cells (3&#x00D7;10<sup>4</sup>) were suspended in serum-free medium (RPMI-1640 medium for HuCCT1, HCCC9810 and RBE; DMEM medium for HUH28) and plated in the upper chamber of the Transwell system, and the lower chamber was filled with medium containing 10&#x0025; FBS. Following incubation for 24 h at 37&#x00B0;C, the cells in the upper chamber were removed and the cells in the lower chamber were fixed by pure cold methanol (&#x2212;4&#x00B0;C) for 30 min and subjected to Giemsa staining (1:10 dilution) for another 30 min at room temperature. Cells were subsequently counted with a light microscope (&#x00D7;10). The Matrigel assay procedure to assess cell invasive ability was identical to the Transwell assay, except the Transwell membrane was precoated with Matrigel (BD Biosciences, Franklin Lakes, NJ, USA). All experiments were performed in triplicate.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using the SPSS 17.0 software package (SPSS, Inc., Chicago, IL, USA). All data is expressed as the mean &#x00B1; standard deviation. For statistical analysis, categorical variables were compared using the &#x03C7;<sup>2</sup> test and the Student&#x0027;s t-test was performed to compare the differences between continuous data. One-way analysis of variance and Bonferroni correction test were used to compare multiple groups. The overall survival (OS) and progression free survival (PFS) rate were analyzed with the Kaplan-Meier method and differences between groups were assessed with the log-rank test. The significance of the survival data was evaluated using univariate and multivariate Cox regression methods. The receiver-operating characteristic (ROC) curve was adopted to define the cut-off score for discriminating the specimens with high or low CCAT2 expression. The point on the curve with the shortest distance to the coordinate (0, 1) was selected as the threshold value to classify cases as high expression or low expression. 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>lncRNA CCAT2 is overexpressed in IHCC</title>
<p>The analysis of lncRNA CCAT2 expression in IHCC cells lines by RT-qPCR assay revealed that CCAT2 expression was upregulated in IHCC cell lines compared with normal biliary epithelial cells (<xref rid="f1-mmr-17-04-5328" ref-type="fig">Fig. 1A</xref>). CCAT2 expression was higher in 70.8&#x0025; (75/106) of IHCC samples compared with the paired adjacent non-tumorous tissues (<xref rid="f1-mmr-17-04-5328" ref-type="fig">Fig. 1B</xref>). Further statistical analysis confirmed that IHCC tissues had significantly higher relative CCAT2 expression compared with paired adjacent non-tumorous tissues (1 vs. 2.52&#x00B1;3.17; P&#x003C;0.001; <xref rid="f1-mmr-17-04-5328" ref-type="fig">Fig. 1B</xref>), which indicated that lncRNA CCAT2 may be oncogenic in IHCC.</p>
</sec>
<sec>
<title>Expression level of lncRNA CCAT2 is correlated with IHCC clinical progression</title>
<p>To better define the value of CCAT2 expression level in predicting the prognosis of patients with IHCC, the ROC curve was adopted to identify the optimal cut-off score for high/low CCAT2 expression (<xref rid="f1-mmr-17-04-5328" ref-type="fig">Fig. 1C and D</xref>). The area under the curves were 0.702 and 0.715 for OS and PFS, respectively, which suggested that CCAT2 may be a useful biomarker for the prognostic prediction of IHCC (P&#x003C;0.001). The cutoff score was 4.4 for both OS and PFS.</p>
<p>To investigate the clinical significance of CCAT2 in IHCC, the association between CCAT2 expression and clinicopathological characteristics was statistically analyzed. High CCAT2 expression was revealed to be associated with microvascular invasion (P&#x003C;0.001), differentiation grade (P=0.040), and tumor (T; P=0.012), lymph node (N; P&#x003C;0.001), metastasis (M; P=0.045) and combined TNM (P&#x003C;0.001) stages of IHCC (<xref rid="tI-mmr-17-04-5328" ref-type="table">Table I</xref>). However, other clinicopathological parameters including age, sex, hepatitis B viral protein, hepatitis B surface antigen, hepatitis C virus, cancer antigen 19-9, tumor number, cirrhosis and encapsulation were not indicated to be statistically significant (P&#x003E;0.05; <xref rid="tI-mmr-17-04-5328" ref-type="table">Table I</xref>). These results suggested that CCAT2 overexpression may be associated with the development of IHCC.</p>
</sec>
<sec>
<title>CCAT2 is a prognostic marker and an independent risk factor for IHCC prognosis</title>
<p>The significance of CCAT2 in the prediction of prognosis was evaluated by Kaplan-Meier analysis. Patients with high CCAT2 expression were demonstrated to have a lower OS rate (P&#x003C;0.001) and a shorter PFS period (P&#x003C;0.001; <xref rid="f1-mmr-17-04-5328" ref-type="fig">Fig. 1E and F</xref>)</p>
<p>Furthermore, univariate analysis demonstrated that high CCAT2 expression was a risk factor for OS [hazard ratio (HR) = 3.184; 95&#x0025; confidence interval (CI) = 1.882&#x2013;5.385; P&#x003C;0.001] and for PFS (HR = 2.926; 95&#x0025; CI = 1.771&#x2013;4.834; P&#x003C;0.001) of patients with IHCC (<xref rid="tII-mmr-17-04-5328" ref-type="table">Table II</xref>). Multivariate analysis also identified high CCAT2 expression as an independent risk factor of OS (HR=1.894; 95&#x0025; CI=1.060&#x2013;3.384; P=0.031) and PFS (HR=2.134; 95&#x0025; CI=1.232&#x2013;3.699; P=0.007) of patients with IHCC (<xref rid="tIII-mmr-17-04-5328" ref-type="table">Table III</xref>). Thus, lncRNA CCAT2 may be useful as a prognostic marker for OS and PFS of patients with IHCC.</p>
</sec>
<sec>
<title>CCAT2 promotes the proliferation and metastasis of IHCC cells</title>
<p>To extend our understanding on the role of CCAT2 in IHCC, <italic>in vitro</italic> assays were performed in IHCC cells with either CCAT2 silencing and overexpression (<xref rid="f2-mmr-17-04-5328" ref-type="fig">Fig. 2A and B</xref>). As CCAT2 expression was relatively high in HuCCT1 cells and low in RBE cells (<xref rid="f1-mmr-17-04-5328" ref-type="fig">Fig. 1A</xref>) these cell lines were used to confirm the effects of siRNA-induced CCAT2 silencing and CCAT2 overexpression, respectively (<xref rid="f2-mmr-17-04-5328" ref-type="fig">Fig. 2A and B</xref>, respectively). The MTT assay revealed that the proliferative ability of HuCCT1 cells was significantly decreased following transfection with siCCAT2.1 and siCCAT2.2 compared with cells transfected with the siNC (<xref rid="f2-mmr-17-04-5328" ref-type="fig">Fig. 2C</xref>; P&#x003C;0.05). The colony formation assay also revealed that CCAT2 silencing in HuCCT1 cells significantly decreased colony numbers compared with the siNC-transfected cells (<xref rid="f2-mmr-17-04-5328" ref-type="fig">Fig. 2D</xref>; P&#x003C;0.05). In addition, CCAT2 overexpression significantly increased the proliferative ability (<xref rid="f2-mmr-17-04-5328" ref-type="fig">Fig. 2E</xref>; P&#x003C;0.05) and the number of colonies (<xref rid="f2-mmr-17-04-5328" ref-type="fig">Fig. 2F</xref>; P&#x003C;0.05) of RBE cells compared with cells transfected with the empty vector.</p>
<p>The migratory and invasive abilities of HuCCT1 cells were significantly inhibited in cells transfected with either CCAT2 siRNA compared with siNC-transfected cells (<xref rid="f3-mmr-17-04-5328" ref-type="fig">Fig. 3A</xref>; P&#x003C;0.05) By contrast, the migratory and invasive abilities were significantly increased in RBE cells overexpressing CCAT2 compared with vector control cells (<xref rid="f3-mmr-17-04-5328" ref-type="fig">Fig. 3B</xref>; P&#x003C;0.05). These data suggested that CCAT2 may promote proliferation and metastasis of IHCC cells.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Previous studies have reported the involvement of lncRNA CCAT2 in the development and metastasis of a number of cancers. For example, Ling <italic>et al</italic> (<xref rid="b12-mmr-17-04-5328" ref-type="bibr">12</xref>) reported that CCAT2 expression was markedly increased in microsatellite-stable colorectal cancer and that CCAT2 promoted tumor growth, metastasis and chromosomal instability through the regulation of MYC and WNT expression. Qiu <italic>et al</italic> (<xref rid="b18-mmr-17-04-5328" ref-type="bibr">18</xref>) demonstrated that CCAT2 was upregulated in non-small cell lung cancer and increased the proliferation and metastasis of tumor cells. The functional role of CCAT2 in promoting tumor growth and metastasis has also been demonstrated in esophageal squamous cell carcinoma, glioma, breast cancer, hepatocellular carcinoma and ovarian cancer (<xref rid="b19-mmr-17-04-5328" ref-type="bibr">19</xref>&#x2013;<xref rid="b22-mmr-17-04-5328" ref-type="bibr">22</xref>). Furthermore, a previous meta-analysis revealed that high CCAT2 expression was significantly correlated with OS (HR=2.30; 95&#x0025; CI=1.62&#x2013;3.25; P&#x003C;0.001) and PFS (HR=2.76; 95&#x0025; CI=1.74&#x2013;4.37; P&#x003C;0.001) in various cancers (<xref rid="b16-mmr-17-04-5328" ref-type="bibr">16</xref>).</p>
<p>The present study confirmed that CCAT2 was overexpressed in IHCC cell lines and tissues. Statistical analysis of CCAT2 expression and IHCC clinicopathological features revealed that high CCAT2 expression was associated with microvascular invasion, differentiation grades, T, N, M and TNM stages of IHCC (P&#x003C;0.05). Based on these data and results from <italic>in vitro</italic> assays, it was hypothesized that CCAT2 may promote IHCC progression and metastasis. Survival analysis demonstrated that patients with high CCAT2 expression had a lower OS rate and shorter PFS period (P&#x003C;0.05). Furthermore, high CCAT2 expression was identified as an independent risk factor of poor OS (HR=3.184; 95&#x0025; CI=1.882&#x2013;5.385; P&#x003C;0.001) and PFS (HR=2.926; 95&#x0025; CI=1.771&#x2013;4.834; P&#x003C;0.001) of patients with IHCC in the multivariate Cox regression analysis.</p>
<p>Mechanistically, several studies have concentrated on identifying the downstream mechanisms of CCAT2 function. Previous studies reported that the mechanism of CCAT2 in promoting cancer development is mainly due to the activation of WNT signaling by enhancing the transcriptional activity of transcription factor 7-like 2 and the subsequent increase in MYC expression (<xref rid="b22-mmr-17-04-5328" ref-type="bibr">22</xref>&#x2013;<xref rid="b24-mmr-17-04-5328" ref-type="bibr">24</xref>). Another study reported that CCAT2 regulates epithelial ovarian cancer progression by functioning as a competing endogenous RNA, or sponge, and negatively targeting miR-424 (<xref rid="b25-mmr-17-04-5328" ref-type="bibr">25</xref>). Further investigations are required to fully understand the mechanisms of CCAT2 function and its contribution to IHCC progression and metastasis.</p>
<p>In conclusion, results from the present study demonstrated that lncRNA CCAT2 expression was upregulated in IHCC and this high expression level may be correlated with IHCC progression and metastasis. High CCAT2 expression predicted a poor OS rate and shorter PFS period. CCAT2 overexpression was also an independent risk factor for both OS and PFS. The functional role of CCAT2 in facilitating proliferation and metastasis of IHCC cells was further confirmed in <italic>in vitro</italic> assays and CCAT2 may be a promising prognostic biomarker and therapeutic target in IHCC.</p>
</sec>
</body>
<back>
<ref-list>
<title>References</title>
<ref id="b1-mmr-17-04-5328"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Razumilava</surname><given-names>N</given-names></name><name><surname>Gores</surname><given-names>GJ</given-names></name></person-group><article-title>Cholangiocarcinoma</article-title><source>Lancet</source><volume>383</volume><fpage>2168</fpage><lpage>2179</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/S0140-6736(13)61903-0</pub-id><pub-id pub-id-type="pmid">24581682</pub-id><pub-id pub-id-type="pmcid">4069226</pub-id></element-citation></ref>
<ref id="b2-mmr-17-04-5328"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aljiffry</surname><given-names>M</given-names></name><name><surname>Abdulelah</surname><given-names>A</given-names></name><name><surname>Walsh</surname><given-names>M</given-names></name><name><surname>Peltekian</surname><given-names>K</given-names></name><name><surname>Alwayn</surname><given-names>I</given-names></name><name><surname>Molinari</surname><given-names>M</given-names></name></person-group><article-title>Evidence-based approach to cholangiocarcinoma: A systematic review of the current literature</article-title><source>J Am Coll Surg</source><volume>208</volume><fpage>134</fpage><lpage>147</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.jamcollsurg.2008.09.007</pub-id><pub-id pub-id-type="pmid">19228515</pub-id></element-citation></ref>
<ref id="b3-mmr-17-04-5328"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sia</surname><given-names>D</given-names></name><name><surname>Tovar</surname><given-names>V</given-names></name><name><surname>Moeini</surname><given-names>A</given-names></name><name><surname>Llovet</surname><given-names>JM</given-names></name></person-group><article-title>Intrahepatic cholangiocarcinoma: Pathogenesis and rationale for molecular therapies</article-title><source>Oncogene</source><volume>32</volume><fpage>4861</fpage><lpage>4870</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/onc.2012.617</pub-id><pub-id pub-id-type="pmid">23318457</pub-id><pub-id pub-id-type="pmcid">3718868</pub-id></element-citation></ref>
<ref id="b4-mmr-17-04-5328"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Endo</surname><given-names>I</given-names></name><name><surname>Gonen</surname><given-names>M</given-names></name><name><surname>Yopp</surname><given-names>AC</given-names></name><name><surname>Dalal</surname><given-names>KM</given-names></name><name><surname>Zhou</surname><given-names>Q</given-names></name><name><surname>Klimstra</surname><given-names>D</given-names></name><name><surname>D&#x0027;Angelica</surname><given-names>M</given-names></name><name><surname>DeMatteo</surname><given-names>RP</given-names></name><name><surname>Fong</surname><given-names>Y</given-names></name><name><surname>Schwartz</surname><given-names>L</given-names></name><etal/></person-group><article-title>Intrahepatic cholangiocarcinoma: Rising frequency, improved survival, and determinants of outcome after resection</article-title><source>Ann Surg</source><volume>248</volume><fpage>84</fpage><lpage>96</lpage><year>2008</year><pub-id pub-id-type="doi">10.1097/SLA.0b013e318176c4d3</pub-id><pub-id pub-id-type="pmid">18580211</pub-id></element-citation></ref>
<ref id="b5-mmr-17-04-5328"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dodson</surname><given-names>RM</given-names></name><name><surname>Weiss</surname><given-names>MJ</given-names></name><name><surname>Cosgrove</surname><given-names>D</given-names></name><name><surname>Herman</surname><given-names>JM</given-names></name><name><surname>Kamel</surname><given-names>I</given-names></name><name><surname>Anders</surname><given-names>R</given-names></name><name><surname>Geschwind</surname><given-names>JF</given-names></name><name><surname>Pawlik</surname><given-names>TM</given-names></name></person-group><article-title>Intrahepatic cholangiocarcinoma: Management options and emerging therapies</article-title><source>J Am Coll Surg</source><volume>217</volume><fpage>736</fpage><lpage>750.e4</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.jamcollsurg.2013.05.021</pub-id><pub-id pub-id-type="pmid">23890842</pub-id></element-citation></ref>
<ref id="b6-mmr-17-04-5328"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sirica</surname><given-names>AE</given-names></name><name><surname>Dumur</surname><given-names>CI</given-names></name><name><surname>Campbell</surname><given-names>DJ</given-names></name><name><surname>Almenara</surname><given-names>JA</given-names></name><name><surname>Ogunwobi</surname><given-names>OO</given-names></name><name><surname>Dewitt</surname><given-names>JL</given-names></name></person-group><article-title>Intrahepatic cholangiocarcinoma progression: Prognostic factors and basic mechanisms</article-title><source>Clin Gastroenterol Hepatol</source><volume>7</volume><supplement>11 Suppl</supplement><fpage>S68</fpage><lpage>S78</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.cgh.2009.08.023</pub-id><pub-id pub-id-type="pmid">19896103</pub-id><pub-id pub-id-type="pmcid">3795391</pub-id></element-citation></ref>
<ref id="b7-mmr-17-04-5328"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Isin</surname><given-names>M</given-names></name><name><surname>Dalay</surname><given-names>N</given-names></name></person-group><article-title>lncRNAs and neoplasia</article-title><source>Clin Chim Acta</source><volume>444</volume><fpage>280</fpage><lpage>288</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.cca.2015.02.046</pub-id><pub-id pub-id-type="pmid">25748036</pub-id></element-citation></ref>
<ref id="b8-mmr-17-04-5328"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sahu</surname><given-names>A</given-names></name><name><surname>Singhal</surname><given-names>U</given-names></name><name><surname>Chinnaiyan</surname><given-names>AM</given-names></name></person-group><article-title>Long noncoding RNAs in cancer: From function to translation</article-title><source>Trends Cancer</source><volume>1</volume><fpage>93</fpage><lpage>109</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.trecan.2015.08.010</pub-id><pub-id pub-id-type="pmid">26693181</pub-id><pub-id pub-id-type="pmcid">4672369</pub-id></element-citation></ref>
<ref id="b9-mmr-17-04-5328"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bartonicek</surname><given-names>N</given-names></name><name><surname>Maag</surname><given-names>JL</given-names></name><name><surname>Dinger</surname><given-names>ME</given-names></name></person-group><article-title>Long noncoding RNAs in cancer: Mechanisms of action and technological advancements</article-title><source>Mol Cancer</source><volume>15</volume><fpage>43</fpage><year>2016</year><pub-id pub-id-type="doi">10.1186/s12943-016-0530-6</pub-id><pub-id pub-id-type="pmid">27233618</pub-id><pub-id pub-id-type="pmcid">4884374</pub-id></element-citation></ref>
<ref id="b10-mmr-17-04-5328"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fatima</surname><given-names>R</given-names></name><name><surname>Akhade</surname><given-names>VS</given-names></name><name><surname>Pal</surname><given-names>D</given-names></name><name><surname>Rao</surname><given-names>SM</given-names></name></person-group><article-title>Long noncoding RNAs in development and cancer: Potential biomarkers and therapeutic targets</article-title><source>Mol Cell Ther</source><volume>3</volume><fpage>5</fpage><year>2015</year><pub-id pub-id-type="doi">10.1186/s40591-015-0042-6</pub-id><pub-id pub-id-type="pmid">26082843</pub-id><pub-id pub-id-type="pmcid">4469312</pub-id></element-citation></ref>
<ref id="b11-mmr-17-04-5328"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schmitt</surname><given-names>AM</given-names></name><name><surname>Chang</surname><given-names>HY</given-names></name></person-group><article-title>Long noncoding RNAs in cancer pathways</article-title><source>Cancer Cell</source><volume>29</volume><fpage>452</fpage><lpage>463</lpage><year>2016</year><pub-id pub-id-type="doi">10.1016/j.ccell.2016.03.010</pub-id><pub-id pub-id-type="pmid">27070700</pub-id><pub-id pub-id-type="pmcid">4831138</pub-id></element-citation></ref>
<ref id="b12-mmr-17-04-5328"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ling</surname><given-names>H</given-names></name><name><surname>Spizzo</surname><given-names>R</given-names></name><name><surname>Atlasi</surname><given-names>Y</given-names></name><name><surname>Nicoloso</surname><given-names>M</given-names></name><name><surname>Shimizu</surname><given-names>M</given-names></name><name><surname>Redis</surname><given-names>RS</given-names></name><name><surname>Nishida</surname><given-names>N</given-names></name><name><surname>Gaf&#x00E0;</surname><given-names>R</given-names></name><name><surname>Song</surname><given-names>J</given-names></name><name><surname>Guo</surname><given-names>Z</given-names></name><etal/></person-group><article-title>CCAT2, a novel noncoding RNA mapping to 8q24, underlies metastatic progression and chromosomal instability in colon cancer</article-title><source>Genome Res</source><volume>23</volume><fpage>1446</fpage><lpage>1461</lpage><year>2013</year><pub-id pub-id-type="doi">10.1101/gr.152942.112</pub-id><pub-id pub-id-type="pmid">23796952</pub-id><pub-id pub-id-type="pmcid">3759721</pub-id></element-citation></ref>
<ref id="b13-mmr-17-04-5328"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ghoussaini</surname><given-names>M</given-names></name><name><surname>Song</surname><given-names>H</given-names></name><name><surname>Koessler</surname><given-names>T</given-names></name><name><surname>Al Olama</surname><given-names>AA</given-names></name><name><surname>Kote-Jarai</surname><given-names>Z</given-names></name><name><surname>Driver</surname><given-names>KE</given-names></name><name><surname>Pooley</surname><given-names>KA</given-names></name><name><surname>Ramus</surname><given-names>SJ</given-names></name><name><surname>Kjaer</surname><given-names>SK</given-names></name><name><surname>Hogdall</surname><given-names>E</given-names></name><etal/></person-group><article-title>Multiple loci with different cancer specificities within the 8q24 gene desert</article-title><source>J Natl Cancer Inst</source><volume>100</volume><fpage>962</fpage><lpage>966</lpage><year>2008</year><pub-id pub-id-type="doi">10.1093/jnci/djn190</pub-id><pub-id pub-id-type="pmid">18577746</pub-id><pub-id pub-id-type="pmcid">2902819</pub-id></element-citation></ref>
<ref id="b14-mmr-17-04-5328"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bertucci</surname><given-names>F</given-names></name><name><surname>Lagarde</surname><given-names>A</given-names></name><name><surname>Ferrari</surname><given-names>A</given-names></name><name><surname>Finetti</surname><given-names>P</given-names></name><name><surname>Charafe-Jauffret</surname><given-names>E</given-names></name><name><surname>Van Laere</surname><given-names>S</given-names></name><name><surname>Adelaide</surname><given-names>J</given-names></name><name><surname>Viens</surname><given-names>P</given-names></name><name><surname>Thomas</surname><given-names>G</given-names></name><name><surname>Birnbaum</surname><given-names>D</given-names></name><name><surname>Olschwang</surname><given-names>S</given-names></name></person-group><article-title>8q24 cancer risk allele associated with major metastatic risk in inflammatory breast cancer</article-title><source>PLoS One</source><volume>7</volume><fpage>e37943</fpage><year>2012</year><pub-id pub-id-type="doi">10.1371/journal.pone.0037943</pub-id><pub-id pub-id-type="pmid">22666420</pub-id><pub-id pub-id-type="pmcid">3362533</pub-id></element-citation></ref>
<ref id="b15-mmr-17-04-5328"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barr Fritcher</surname><given-names>EG</given-names></name><name><surname>Voss</surname><given-names>JS</given-names></name><name><surname>Brankley</surname><given-names>SM</given-names></name><name><surname>Campion</surname><given-names>MB</given-names></name><name><surname>Jenkins</surname><given-names>SM</given-names></name><name><surname>Keeney</surname><given-names>ME</given-names></name><name><surname>Henry</surname><given-names>MR</given-names></name><name><surname>Kerr</surname><given-names>SM</given-names></name><name><surname>Chaiteerakij</surname><given-names>R</given-names></name><name><surname>Pestova</surname><given-names>EV</given-names></name><etal/></person-group><article-title>An optimized set of fluorescence in situ hybridization probes for detection of pancreatobiliary tract cancer in cytology brush samples</article-title><source>Gastroenterology</source><volume>149</volume><fpage>1813</fpage><lpage>1824.e1</lpage><year>2015</year><pub-id pub-id-type="doi">10.1053/j.gastro.2015.08.046</pub-id><pub-id pub-id-type="pmid">26327129</pub-id></element-citation></ref>
<ref id="b16-mmr-17-04-5328"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fan</surname><given-names>YH</given-names></name><name><surname>Fang</surname><given-names>H</given-names></name><name><surname>Ji</surname><given-names>CX</given-names></name><name><surname>Xie</surname><given-names>H</given-names></name><name><surname>Xiao</surname><given-names>B</given-names></name><name><surname>Zhu</surname><given-names>XG</given-names></name></person-group><article-title>Long noncoding RNA CCAT2 can predict metastasis and poor prognosis: A meta-analysis</article-title><source>Clin Chim Acta</source><volume>466</volume><fpage>120</fpage><lpage>126</lpage><year>2017</year><pub-id pub-id-type="doi">10.1016/j.cca.2017.01.016</pub-id><pub-id pub-id-type="pmid">28089750</pub-id></element-citation></ref>
<ref id="b17-mmr-17-04-5328"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id><pub-id pub-id-type="pmid">11846609</pub-id></element-citation></ref>
<ref id="b18-mmr-17-04-5328"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qiu</surname><given-names>M</given-names></name><name><surname>Xu</surname><given-names>Y</given-names></name><name><surname>Yang</surname><given-names>X</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Hu</surname><given-names>J</given-names></name><name><surname>Xu</surname><given-names>L</given-names></name><name><surname>Yin</surname><given-names>R</given-names></name></person-group><article-title>CCAT2 is a lung adenocarcinoma-specific long non-coding RNA and promotes invasion of non-small cell lung cancer</article-title><source>Tumour Biol</source><volume>35</volume><fpage>5375</fpage><lpage>5380</lpage><year>2014</year><pub-id pub-id-type="doi">10.1007/s13277-014-1700-z</pub-id><pub-id pub-id-type="pmid">24504682</pub-id></element-citation></ref>
<ref id="b19-mmr-17-04-5328"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>S</given-names></name><name><surname>Qing</surname><given-names>C</given-names></name><name><surname>Huang</surname><given-names>Z</given-names></name><name><surname>Zhu</surname><given-names>Y</given-names></name></person-group><article-title>The long non-coding RNA CCAT2 is up-regulated in ovarian cancer and associated with poor prognosis</article-title><source>Diagn Pathol</source><volume>11</volume><fpage>49</fpage><year>2016</year><pub-id pub-id-type="doi">10.1186/s13000-016-0499-x</pub-id><pub-id pub-id-type="pmid">27283598</pub-id><pub-id pub-id-type="pmcid">4901397</pub-id></element-citation></ref>
<ref id="b20-mmr-17-04-5328"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>N</given-names></name><name><surname>Si</surname><given-names>Z</given-names></name><name><surname>Li</surname><given-names>T</given-names></name><name><surname>Chen</surname><given-names>G</given-names></name><name><surname>Zhang</surname><given-names>Z</given-names></name><name><surname>Qi</surname><given-names>H</given-names></name></person-group><article-title>Long non-coding RNA CCAT2 functions as an oncogene in hepatocellular carcinoma, regulating cellular proliferation, migration and apoptosis</article-title><source>Oncol Lett</source><volume>12</volume><fpage>132</fpage><lpage>138</lpage><year>2016</year><pub-id pub-id-type="doi">10.3892/ol.2016.4580</pub-id><pub-id pub-id-type="pmid">27347113</pub-id><pub-id pub-id-type="pmcid">4906942</pub-id></element-citation></ref>
<ref id="b21-mmr-17-04-5328"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Qiu</surname><given-names>M</given-names></name><name><surname>Xu</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>M</given-names></name><name><surname>Dong</surname><given-names>G</given-names></name><name><surname>Mao</surname><given-names>Q</given-names></name><name><surname>Yin</surname><given-names>R</given-names></name><name><surname>Xu</surname><given-names>L</given-names></name></person-group><article-title>Long noncoding RNA CCAT2 correlates with smoking in esophageal squamous cell carcinoma</article-title><source>Tumour Biol</source><volume>36</volume><fpage>5523</fpage><lpage>5528</lpage><year>2015</year><pub-id pub-id-type="doi">10.1007/s13277-015-3220-x</pub-id><pub-id pub-id-type="pmid">25677908</pub-id></element-citation></ref>
<ref id="b22-mmr-17-04-5328"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname><given-names>J</given-names></name><name><surname>Du</surname><given-names>T</given-names></name><name><surname>Song</surname><given-names>Y</given-names></name><name><surname>Gao</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>F</given-names></name><name><surname>Wu</surname><given-names>R</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>W</given-names></name><name><surname>Zhou</surname><given-names>H</given-names></name><name><surname>Yang</surname><given-names>Y</given-names></name><name><surname>Pei</surname><given-names>Z</given-names></name></person-group><article-title>Knockdown of long noncoding RNA CCAT2 inhibits cellular proliferation, invasion, and epithelial-mesenchymal transition in glioma cells</article-title><source>Oncol Res</source><volume>25</volume><fpage>913</fpage><lpage>921</lpage><year>2016</year><pub-id pub-id-type="doi">10.3727/096504016X14792098307036</pub-id><pub-id pub-id-type="pmid">27938499</pub-id></element-citation></ref>
<ref id="b23-mmr-17-04-5328"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kasagi</surname><given-names>Y</given-names></name><name><surname>Oki</surname><given-names>E</given-names></name><name><surname>Ando</surname><given-names>K</given-names></name><name><surname>Ito</surname><given-names>S</given-names></name><name><surname>Iguchi</surname><given-names>T</given-names></name><name><surname>Sugiyama</surname><given-names>M</given-names></name><name><surname>Nakashima</surname><given-names>Y</given-names></name><name><surname>Ohgaki</surname><given-names>K</given-names></name><name><surname>Saeki</surname><given-names>H</given-names></name><name><surname>Mimori</surname><given-names>K</given-names></name><name><surname>Maehara</surname><given-names>Y</given-names></name></person-group><article-title>The expression of CCAT2, a novel long noncoding RNA transcript, and rs6983267 single-nucleotide polymorphism genotypes in colorectal cancers</article-title><source>Oncology</source><volume>92</volume><fpage>48</fpage><lpage>54</lpage><year>2017</year><pub-id pub-id-type="doi">10.1159/000452143</pub-id><pub-id pub-id-type="pmid">27875818</pub-id></element-citation></ref>
<ref id="b24-mmr-17-04-5328"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cai</surname><given-names>Y</given-names></name><name><surname>He</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>D</given-names></name></person-group><article-title>Long noncoding RNA CCAT2 promotes breast tumor growth by regulating the Wnt signaling pathway</article-title><source>Onco Targets Ther</source><volume>8</volume><fpage>2657</fpage><lpage>2664</lpage><year>2015</year><pub-id pub-id-type="pmid">26442763</pub-id><pub-id pub-id-type="pmcid">4590572</pub-id></element-citation></ref>
<ref id="b25-mmr-17-04-5328"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hua</surname><given-names>F</given-names></name><name><surname>Li</surname><given-names>CH</given-names></name><name><surname>Chen</surname><given-names>XG</given-names></name><name><surname>Liu</surname><given-names>XP</given-names></name></person-group><article-title>Long noncoding RNA CCAT2 knockdown suppresses tumorous progression by sponging miR-424 in epithelial ovarian vancer</article-title><source>Oncol Res</source><month>May</month><day>21</day><year>2017</year><comment>(Epub ahead of print)</comment><pub-id pub-id-type="pmcid">5670010</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-mmr-17-04-5328" position="float">
<label>Figure 1.</label>
<caption><p>CCAT2 expression is upregulated in IHCC and correlated with IHCC OS and PFS. (A) RT-qPCR was used to investigate the expression of CCAT2 in IHCC cell lines and the immortalized human cholangiocyte-derived cell line H69; &#x002A;P&#x003C;0.05. (B) The relative expression of CCAT2 in IHCC tissues was analyzed by RT-qPCR. Red lines indicate CCAT2 expression in IHCC tissues; blue lines indicate the paired adjacent non-tumorous tissue expression of CCAT2. (C and D) ROC curves were utilized to define the cut-off points of high or low CCAT2 expression for the (C) OS and (D) PFS of patients with IHCC. (E and F) Kaplan-Meier analysis and the log-rank test were performed to investigate the (E) OS and (F) PFS differences between the CCAT2 low and high expression groups; P&#x003C;0.001 based on the log-rank test. AUC, area under the curve; CCAT2, colon cancer associated transcript 2; IHCC, intrahepatic cholangiocarcinoma; OS, overall survival; PFS, progression-free survival; ROC, receiver operating characteristic; RT-qPCR, reverse transcription quantitative-polymerase chain reaction.</p></caption>
<graphic xlink:href="MMR-17-04-5328-g00.tif"/>
</fig>
<fig id="f2-mmr-17-04-5328" position="float">
<label>Figure 2.</label>
<caption><p>CCAT2 expression increases the proliferative ability of IHCC cells. (A) CCAT2 expression was analyzed by RT-qPCR in HuCCT1 cells transfected with siNC, siCCAT2.1 or siCCAT2.2. (B) CCAT2 expression was analyzed by RT-qPCR in RBE cells transfected with empty control vector or CCAT2 overexpression vector. (C) The MTT assay and (D) a colony formation assay were performed to investigate the proliferative ability of HuCCT1 cells transfected with CCAT2 siRNAs. (E) The MTT assay and (F) a colony formation assay were also performed to investigate the proliferative ability of RBE cells overexpressing CCAT2. &#x002A;P&#x003C;0.05 vs. siNC or empty vector. CCAT2, colon cancer associated transcript 2; IHCC, intrahepatic cholangiocarcinoma; OD, optical density; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; siCCAT, small interfering RNA against CCAT2; siNC, non-targeting small interfering RNA.</p></caption>
<graphic xlink:href="MMR-17-04-5328-g01.tif"/>
</fig>
<fig id="f3-mmr-17-04-5328" position="float">
<label>Figure 3.</label>
<caption><p>CCAT2 promotes migration and invasion of IHCC cells. (A and B) Representative images and quantification of the Matrigel and Transwell assays performed to assess the migratory and invasive abilities of (A) HuCCT1 cells transfected with siRNAs directed against CCAT2 and (B) RBE cells transfected with a CCAT2 overexpression vector; &#x002A;P&#x003C;0.05 vs. siNC or empty vector. CCAT2, colon cancer associated transcript 2; IHCC, intrahepatic cholangiocarcinoma; siNC, non-targeting small interfering RNA; siCCAT, small interfering RNA against CCAT2.</p></caption>
<graphic xlink:href="MMR-17-04-5328-g02.tif"/>
</fig>
<table-wrap id="tI-mmr-17-04-5328" position="float">
<label>Table I.</label>
<caption><p>Correlation between long non-coding RNA CCAT2 expression and the clinicopathological characteristics of intrahepatic cholangiocarcinoma.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom">CCAT2</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Parameter</th>
<th align="center" valign="bottom">No. of patients</th>
<th align="center" valign="bottom">High/Low</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.204</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;60</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">18/32</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;60</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">27/29</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.620</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">32/46</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">13/15</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">HBeAg</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.855</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">31/41</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">14/20</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">HBsAg</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.919</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">18/25</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">27/36</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">HCV</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.290</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">39/48</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">6/13</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">CA19-9 (U/ml)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.327</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;37</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">22/24</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;37</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">23/37</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No. of tumors</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.851</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Single</td>
<td align="center" valign="top">88</td>
<td align="center" valign="top">37/51</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Multiple</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">08/10</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Microvascular invasion</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">16/44</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">29/17</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Cirrhosis</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.179</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">11/24</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">32/39</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Encapsulation</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.821</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">67</td>
<td align="center" valign="top">29/38</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Complete</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">16/23</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Differentiation grade</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.040</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low &#x002B; intermediate</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">19/38</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">26/23</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor size (cm)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.326</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">20/33</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;5</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">25/28</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">T stage</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.012</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1&#x002B;T2</td>
<td align="center" valign="top">77</td>
<td align="center" valign="top">27/50</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3&#x002B;T4</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">18/11</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">N stage</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">19/50</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N1</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">26/11</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">M stage</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.045</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;M0</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">39/60</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;M1</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6/1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">TNM stage</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I &#x002B; II</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">13/42</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III &#x002B; IV</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">32/19</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mmr-17-04-5328"><p>HBeAg, hepatitis B viral protein; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; CA19-9, cancer antigen 19-9; T, tumor; N, lymph node; M, metastasis.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-mmr-17-04-5328" position="float">
<label>Table II.</label>
<caption><p>Univariate analysis of clinicopathological features for overall survival and progression-free survival of patients with intrahepatic cholangiocarcinoma.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Overall survival</th>
<th align="center" valign="bottom" colspan="3">Progression-free survival</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Parameter</th>
<th align="center" valign="bottom">HR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;60 vs. &#x2265;60</td>
<td align="center" valign="top">1.255</td>
<td align="center" valign="top">0.750&#x2013;2.100</td>
<td align="center" valign="top">0.387</td>
<td align="center" valign="top">1.261</td>
<td align="center" valign="top">0.766&#x2013;2074</td>
<td align="center" valign="top">0.362</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female vs. male</td>
<td align="center" valign="top">0.596</td>
<td align="center" valign="top">0.322&#x2013;1.104</td>
<td align="center" valign="top">0.100</td>
<td align="center" valign="top">0.609</td>
<td align="center" valign="top">0.336&#x2013;1.103</td>
<td align="center" valign="top">0.102</td>
</tr>
<tr>
<td align="left" valign="top">HBeAg</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive vs. negative</td>
<td align="center" valign="top">0.824</td>
<td align="center" valign="top">0.470&#x2013;1.446</td>
<td align="center" valign="top">0.500</td>
<td align="center" valign="top">0.873</td>
<td align="center" valign="top">0.510&#x2013;1.493</td>
<td align="center" valign="top">0.619</td>
</tr>
<tr>
<td align="left" valign="top">HBsAg</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive vs. negative</td>
<td align="center" valign="top">1.252</td>
<td align="center" valign="top">0.746&#x2013;2.101</td>
<td align="center" valign="top">0.395</td>
<td align="center" valign="top">1.218</td>
<td align="center" valign="top">0.739&#x2013;2.008</td>
<td align="center" valign="top">0.439</td>
</tr>
<tr>
<td align="left" valign="top">HCV</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive vs. negative</td>
<td align="center" valign="top">1.707</td>
<td align="center" valign="top">0.938&#x2013;3.108</td>
<td align="center" valign="top">0.080</td>
<td align="center" valign="top">1.788</td>
<td align="center" valign="top">1.002&#x2013;3.190</td>
<td align="center" valign="top">0.049</td>
</tr>
<tr>
<td align="left" valign="top">CA19-9 (U/ml)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;37 vs. &#x2265;37</td>
<td align="center" valign="top">0.919</td>
<td align="center" valign="top">0.551&#x2013;1.533</td>
<td align="center" valign="top">0.747</td>
<td align="center" valign="top">0.857</td>
<td align="center" valign="top">0.523&#x2013;1.402</td>
<td align="center" valign="top">0.538</td>
</tr>
<tr>
<td align="left" valign="top">Tumor number</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Single vs. multiple</td>
<td align="center" valign="top">1.535</td>
<td align="center" valign="top">0.830&#x2013;2.839</td>
<td align="center" valign="top">0.172</td>
<td align="center" valign="top">1.495</td>
<td align="center" valign="top">0.813&#x2013;2.751</td>
<td align="center" valign="top">0.196</td>
</tr>
<tr>
<td align="left" valign="top">Microvascular invasion</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">0.485</td>
<td align="center" valign="top">0.288&#x2013;0.816</td>
<td align="center" valign="top">0.006</td>
<td align="center" valign="top">0.512</td>
<td align="center" valign="top">0.307&#x2013;0.853</td>
<td align="center" valign="top">0.010</td>
</tr>
<tr>
<td align="left" valign="top">Cirrhosis</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.428</td>
<td align="center" valign="top">0.848&#x2013;2.405</td>
<td align="center" valign="top">0.181</td>
<td align="center" valign="top">1.360</td>
<td align="center" valign="top">0.823&#x2013;2.249</td>
<td align="center" valign="top">0.231</td>
</tr>
<tr>
<td align="left" valign="top">Encapsulation</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Complete vs. none</td>
<td align="center" valign="top">1.023</td>
<td align="center" valign="top">0.605&#x2013;1.730</td>
<td align="center" valign="top">0.931</td>
<td align="center" valign="top">1.042</td>
<td align="center" valign="top">0.628&#x2013;1.730</td>
<td align="center" valign="top">0.872</td>
</tr>
<tr>
<td align="left" valign="top">Differentiation</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low &#x002B; intermediate vs. high</td>
<td align="center" valign="top">1.945</td>
<td align="center" valign="top">1.155&#x2013;3.276</td>
<td align="center" valign="top">0.012</td>
<td align="center" valign="top">2.133</td>
<td align="center" valign="top">1.283&#x2013;3.547</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Tumor size (cm)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5 vs. &#x2265;5</td>
<td align="center" valign="top">1.351</td>
<td align="center" valign="top">0.812&#x2013;2.250</td>
<td align="center" valign="top">0.247</td>
<td align="center" valign="top">1.195</td>
<td align="center" valign="top">0.731&#x2013;1.953</td>
<td align="center" valign="top">0.478</td>
</tr>
<tr>
<td align="left" valign="top">T stage</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1&#x002B;T2 vs. T3&#x002B;T4</td>
<td align="center" valign="top">2.337</td>
<td align="center" valign="top">1.378&#x2013;3.964</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">2.353</td>
<td align="center" valign="top">1.406&#x2013;3.936</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">N stage</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0 vs. N1</td>
<td align="center" valign="top">1.526</td>
<td align="center" valign="top">1.190&#x2013;1.957</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">1.533</td>
<td align="center" valign="top">1.201&#x2013;1.956</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">M stage</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;M0 vs. M1</td>
<td align="center" valign="top">5.364</td>
<td align="center" valign="top">2.250&#x2013;12.788</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">4.643</td>
<td align="center" valign="top">1.958&#x2013;11.011</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">TNM stage</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I &#x002B; II vs. III &#x002B; IV</td>
<td align="center" valign="top">4.647</td>
<td align="center" valign="top">2.613&#x2013;8.262</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">4.617</td>
<td align="center" valign="top">2.656&#x2013;8.025</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">CCAT2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low vs. high</td>
<td align="center" valign="top">3.184</td>
<td align="center" valign="top">1.882&#x2013;5.385</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">2.926</td>
<td align="center" valign="top">1.771&#x2013;4.834</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-mmr-17-04-5328"><p>CA19-9, cancer antigen 19-9; CCAT2, colon cancer associated transcript 2; CI, confidence interval; HBeAg, hepatitis B viral protein; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; HR, hazard ratio; M, metastasis; N, lymph node; T, tumor.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-mmr-17-04-5328" position="float">
<label>Table III.</label>
<caption><p>Multivariate analysis of clinicopathological features for overall survival and progression-free survival of patients with intrahepatic cholangiocarcinoma.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Overall survival</th>
<th align="center" valign="bottom" colspan="3">Progression-free survival</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Parameter</th>
<th align="center" valign="bottom">HR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">HCV</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">2.091</td>
<td align="center" valign="top">1.154&#x2013;3.788</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.015</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive vs. negative</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Microvascular invasion</td>
<td align="center" valign="top">0.485</td>
<td align="center" valign="top">0.279&#x2013;0.843</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.010</td>
<td align="center" valign="top">0.502</td>
<td align="center" valign="top">0.292&#x2013;0.863</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.013</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Differentiation</td>
<td align="center" valign="top">0.938</td>
<td align="center" valign="top">0.503&#x2013;1.751</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.842</td>
<td align="center" valign="top">1.107</td>
<td align="center" valign="top">0.606&#x2013;2.021</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.742</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low &#x002B; intermediate vs. high</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">T stage</td>
<td align="center" valign="top">0.607</td>
<td align="center" valign="top">0.299&#x2013;1.231</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.166</td>
<td align="center" valign="top">0.527</td>
<td align="center" valign="top">0.261&#x2013;1.063</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.074</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1&#x002B;T2 vs. T3&#x002B;T4</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">N stage</td>
<td align="center" valign="top">0.890</td>
<td align="center" valign="top">0.517&#x2013;1.529</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.672</td>
<td align="center" valign="top">0.767</td>
<td align="center" valign="top">0.465&#x2013;1.264</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.298</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0 vs. N1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">M stage</td>
<td align="center" valign="top">3.078</td>
<td align="center" valign="top">1.193&#x2013;7.943</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.020</td>
<td align="center" valign="top">2.642</td>
<td align="center" valign="top">1.035&#x2013;6.746</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.042</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;M0 vs. M1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">TNM stage</td>
<td align="center" valign="top">4.972</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2.108&#x2013;12.250</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">5.797</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2.431&#x2013;13.824</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I &#x002B; II vs. III &#x002B; IV</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">CCAT2</td>
<td align="center" valign="top">1.894</td>
<td align="center" valign="top">1.060&#x2013;3.384</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.031</td>
<td align="center" valign="top">2.134</td>
<td align="center" valign="top">1.232&#x2013;3.699</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.007</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low vs. high</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-mmr-17-04-5328"><p>CCAT2, colon cancer associated transcript 2; CI, confidence interval; HCV, hepatitis C virus; HR, hazard ratio; M, metastasis; N, lymph node; T, tumor.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>