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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.2019.11060</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-11060</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Elevated MIR100HG promotes colorectal cancer metastasis and is associated with poor prognosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Wenhua</given-names></name>
<xref rid="af1-ol-0-0-11060" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-11060" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Yuan</surname><given-names>Fukang</given-names></name>
<xref rid="af3-ol-0-0-11060" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Xin</given-names></name>
<xref rid="af4-ol-0-0-11060" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Wanyuan</given-names></name>
<xref rid="af4-ol-0-0-11060" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Tang</surname><given-names>Xuejun</given-names></name>
<xref rid="af2-ol-0-0-11060" ref-type="aff">2</xref>
<xref rid="c2-ol-0-0-11060" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Lu</surname><given-names>Lungen</given-names></name>
<xref rid="af1-ol-0-0-11060" ref-type="aff">1</xref>
<xref rid="c1-ol-0-0-11060" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-11060"><label>1</label>Department of Gastroenterology, Shanghai General Hospital of Nanjing Medical University, Shanghai 201600, P.R. China</aff>
<aff id="af2-ol-0-0-11060"><label>2</label>Department of Gastroenterology, The Affiliated Wuxi Second People&#x0027;s Hospital of Nanjing Medical University, Wuxi, Jiangsu 214002, P.R. China</aff>
<aff id="af3-ol-0-0-11060"><label>3</label>Department of General Surgery, Xuzhou Central Hospital, Xuzhou Institute of Cardiovascular Disease, Jiangsu, Xuzhou 221009, P.R. China</aff>
<aff id="af4-ol-0-0-11060"><label>4</label>Department of Pathology, Zhejiang Provincial People&#x0027;s Hospital, People&#x0027;s Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-11060"><italic>Correspondence to</italic>: Dr Lungen Lu, Department of Gastroenterology, Shanghai General Hospital of Nanjing Medical University, 650 Xinsongjiang Road, Shanghai 201600, P.R. China, E-mail: <email>lung_enlu1965@163.com</email></corresp>
<corresp id="c2-ol-0-0-11060">Dr Xuejun Tang, Department of Gastroenterology, The Affiliated Wuxi Second People&#x0027;s Hospital of Nanjing Medical University, 68 Zhongshan Road, Wuxi, Jiangsu 214002, P.R. China, E-mail: <email>13771118608@163.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>12</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>05</day>
<month>11</month>
<year>2019</year></pub-date>
<volume>18</volume>
<issue>6</issue>
<fpage>6483</fpage>
<lpage>6490</lpage>
<history>
<date date-type="received"><day>18</day><month>12</month><year>2018</year></date>
<date date-type="accepted"><day>10</day><month>10</month><year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Li et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>mir-100-let-7a-2-mir-125b-1 cluster host gene (MIR100HG), which is located on chromosome 11q24.1, is a polycistronic microRNA host gene. MIR100HG overexpression in colorectal cancer (CRC) has been demonstrated to be associated with cetuximab resistance; however, the role of MIR100HG in CRC metastasis remains unclear. The present study aimed to investigate the impact of aberrant MIR100HG expression on metastasis and prognosis in patients with CRC. The results from reverse transcription-quantitative PCR demonstrated that MIR100HG expression was higher in CRC tissues compared with in corresponding normal mucosa tissues. In particular, MIR100HG expression was higher in advanced CRC compared with in early stage CRC. Furthermore, the results from Kaplan-Meier analysis followed by a log-rank test revealed that patients with CRC and high MIR100HG expression exhibited poorer disease-free survival and overall survival compared with patients with CRC and lower MIR100HG expression. Furthermore, results from <italic>in vitro</italic> Transwell assays and <italic>in vivo</italic> animal assays demonstrated that upregulated MIR100HG expression promoted CRC cell migration and invasion and the formation of liver metastatic colonies in mice. In conclusion, the present study demonstrated that MIR100HG overexpression may contribute to the progression of CRC and may predict a poorer prognosis in patients with CRC. MIR100HG may therefore be considered as a novel therapeutic target and a prognostic biomarker in patients with CRC.</p>
</abstract>
<kwd-group>
<kwd>colorectal cancer</kwd>
<kwd>long non-coding RNA</kwd>
<kwd>MIR100HG</kwd>
<kwd>metastasis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer (CRC) is the third most commonly diagnosed type of cancer worldwide, and represents a leading cause of mortality in men and women (<xref rid="b1-ol-0-0-11060" ref-type="bibr">1</xref>,<xref rid="b2-ol-0-0-11060" ref-type="bibr">2</xref>). Tumor invasion and distant metastasis are the main causes of cancer-associated mortality in patients with CRC (<xref rid="b3-ol-0-0-11060" ref-type="bibr">3</xref>). The liver is the most frequent site of metastatic spread in CRC, and 15&#x2013;25&#x0025; of patients with CRC present with liver metastases at the time of diagnosis (<xref rid="b4-ol-0-0-11060" ref-type="bibr">4</xref>). Although improvements in screening tests, chemotherapy, surgical techniques and multidisciplinary approaches have substantially decreased the morbidity and mortality rates of patients with CRC in the last decades (<xref rid="b5-ol-0-0-11060" ref-type="bibr">5</xref>,<xref rid="b6-ol-0-0-11060" ref-type="bibr">6</xref>), the prognosis of patients with advanced-stage CRC remains unsatisfactory due to frequent metastasis and CRC recurrence (<xref rid="b7-ol-0-0-11060" ref-type="bibr">7</xref>). Understanding the underlying mechanisms of CRC, particularly during colorectal liver metastasis, is therefore crucial to improve the clinical outcomes and overall survival of patients.</p>
<p>Long non-coding RNAs (lncRNAs) are defined as transcripts of &#x003E;200 nucleotides in length that are not translated into proteins, and account for much of the transcribed genome (<xref rid="b8-ol-0-0-11060" ref-type="bibr">8</xref>). lncRNAs can promote or inhibit the expression of various protein-coding genes through interactions with other cellular macromolecules, including DNA, RNA and proteins (<xref rid="b8-ol-0-0-11060" ref-type="bibr">8</xref>). Numerous studies have reported that lncRNAs are crucial for the regulation of major physiological and pathological processes, including cell growth, apoptosis, stem-cell pluripotency, cancer invasion, metastasis, development, differentiation and the immune response, and serve a role in early diagnosis, targeted therapy and drug resistance of cancers (<xref rid="b9-ol-0-0-11060" ref-type="bibr">9</xref>&#x2013;<xref rid="b15-ol-0-0-11060" ref-type="bibr">15</xref>). A previous study has demonstrated that the lncRNA mir-100-let-7a-2-mir-125b-1 cluster host gene (MIR100HG) is significantly associated with cetuximab resistance (<xref rid="b15-ol-0-0-11060" ref-type="bibr">15</xref>); however, other functional roles of MIR100HG in the development of cancer, particularly CRC, remain unknown and require further investigation.</p>
<p>In the present study, MIR100HG expression in CRC tissues and paired normal mucosae was assessed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). In addition, the association between MIR100HG expression and the clinicopathological characteristics of patients with CRC was assessed. Furthermore, Kaplan-Meier analysis with the log-rank test was used to evaluate the prognostic value of MIR100HG in patients with CRC. In addition, <italic>in vitro</italic> and <italic>in vivo</italic> cell function assays were performed to investigate the impact of MIR100HG on CRC cell migration and invasion and to determine the potential underlying mechanisms of CRC progression. The findings of the present study suggested that MIR100HG may be involved in CRC invasion and liver metastasis.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patients and specimens</title>
<p>A total of 116 paired CRC tissues and matched normal mucosae were collected from patients with CRC who underwent tissue biopsy at the Department of Gastroenterology, Shanghai General Hospital of Nanjing Medical University between September 2010 and March 2016. Patients comprised 60 men and 56 women (mean age, 64 years; age range, 32&#x2013;89 years). All specimen were histopathologically confirmed as CRC. No patients had received local or other related anticancer therapies prior to tumor biopsy. The tumor grade and clinical stages were classified according to the guidelines of the American Joint Committee on Cancer (AJCC) (<xref rid="b16-ol-0-0-11060" ref-type="bibr">16</xref>). The present study was approved by the Ethics Committee of Shanghai General Hospital of Nanjing Medical University, and written informed consent was obtained from all patients prior to enrollment in the present study.</p>
</sec>
<sec>
<title>RNA extraction and RT-qPCR</title>
<p>Total RNA was isolated from fresh CRC and adjacent normal mucosae tissues using TRIzol<sup>&#x00AE;</sup> reagent (Invitrogen; Thermo Fisher Scientific, Inc.). First strand cDNA was synthesized from 2 &#x00B5;g RNA using a Prime-Script PCR reagent kit (Takara Bio, Inc.) according to the manufacturer&#x0027;s protocol. By using the LightCycler<sup>&#x00AE;</sup>480 system (Roche Applied Science), the SYBR Premix Ex-Taq II kit (Takara Bio, Inc.) was applied to perform qPCR. The cycling conditions were as follows: Initial denaturation (2 min at 95&#x00B0;C) followed by 40 cycles of denaturation (10 sec at 95&#x00B0;C), annealing (30 sec at 59&#x00B0;C), elongation (30 sec at 72&#x00B0;C) and a final extension (30 sec at 72&#x00B0;C). The amplified samples were then maintained at 4&#x00B0;C. The primer sequences used for MIR100HG detection were as follows: MIR100HG forward, 5&#x2032;-CCCAGTGCAAGGACAAAGA-3&#x2032; and reverse, 5&#x2032;-GCAGAGGAGGTGTCTTCAGG-3&#x2032;; and GAPDH forward, 5&#x2032;-GGGAAATTCAACGGCACAGT-3&#x2032; and reverse, 5&#x2032;-AGATGGTGATGGGCTTCCC-3&#x2032;. The relative expression levels of MIR100HG were normalized to the endogenous control GAPDH and expressed as 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> (<xref rid="b17-ol-0-0-11060" ref-type="bibr">17</xref>).</p>
</sec>
<sec>
<title>Cell culture and transfection</title>
<p>The human CRC LoVo, DLD-1, RKO, SW48, HCT8 and HCT116 cell lines, and the normal intestinal mucous epithelium FHC cell line were obtained from the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences. All cells were cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10&#x0025; FBS (Invitrogen; Thermo Fisher Scientific, Inc.), 100 U/ml penicillin and 100 &#x00B5;g/ml streptomycin and placed at 37&#x00B0;C in a humidified incubator containing 5&#x0025; CO<sub>2</sub>.</p>
<p>The CRC cell line LOVo overexpressing MIR100HG was established by transfection with lentiviral vectors encoding human MIR100HG (PCDH-MIR100HG). In addition, MIR100HG-knockdown CRC cell line HCT116 were constructed by transfection with MIR100HG short hairpin RNA (shRNA). The sequences used for overexpression and knockdown were previously described (<xref rid="b18-ol-0-0-11060" ref-type="bibr">18</xref>).</p>
</sec>
<sec>
<title>In vitro Transwell assay</title>
<p>By using the two transfected CRC cell lines LoVo and HCT116 and their control groups, transwell assays were used to assess tumor cell migration and invasion. A Transwell 24-well Boyden chamber with a polycarbonate membrane (pore size, 8.0 &#x00B5;m; Corning Inc.) was used for cell migration (without Matrigel<sup>&#x00AE;</sup> coating; BD Biosciences) and invasion (with Matrigel<sup>&#x00AE;</sup> coating, prepared on ice) assays, according to the manufacturer&#x0027;s protocol. Briefly, 5&#x00D7;10<sup>5</sup> cells/ml were seeded in 200 &#x00B5;l serum-free DMEM medium in the upper chamber, whereas DMEM medium supplemented with 500 &#x00B5;l 10&#x0025; FBS was added to the lower chamber. Following incubation for 24 h, cells were fixed with 4&#x0025; polyoxymethylene and stained with 0.1&#x0025; crystal violet at room temperature. Cells that had moved to the lower side of the membrane were counted in 10 visual fields and the average value was calculated. Cells images were captured using a light microscope (Olympus Corporation; magnification, &#x00D7;200). Each experiment was performed independently three times.</p>
</sec>
<sec>
<title>In vivo metastatic assay</title>
<p>Nude mice were purchased from Shanghai Research Center for Model Organisms, Inc. Mice had an average weight of 20 g. Mice were placed in plastic cages with airtight air filter at the temperature of 18&#x2013;22&#x00B0;C, humidity of 40&#x2013;60&#x0025;, under a light/dark cycle of 10/14 h each day, and had free access to food and water. For the <italic>in vivo</italic> cell metastatic assay, following anesthesia with ether inhalation, MIR100HG-overexpressing CRC cells LoVo, sh-MIR100HG knockdown CRC cells HCT116 and their control groups were injected (200 &#x00B5;l at the density of 1&#x00D7;10<sup>6</sup>/ml in PBS) into the tail vein of nude mice (4 weeks old male BALB/C nude mice; n=3 for each group). After 4 weeks, mice were euthanized by cervical dislocation, and livers were collected and immediately fixed with 4&#x0025; formaldehyde at room temperature for 24&#x2013;48 h. After paraffin embedding, liver tissue was cut into 4&#x2013;7 &#x00B5;m-thick sections. After hematoxylin-eosin staining at room temperature for 3&#x2013;5 min, the tumor colonies formed in the livers were detected by light microscopy and quantified using GraphPad Prim 7 (GraphPad Software, Inc.). All experimental procedures and animal studies involving mice were in accordance with the Shanghai General Hospital of Nanjing Medical University Animal Care and Use guidelines. Ethical approval for the animal study was obtained from the Ethics Committee of Shanghai General Hospital of Nanjing Medical University.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Each experiment was performed independently three times. Data were expressed as the means &#x00B1; standard deviation and were analyzed using SPSS v22.0 software (IBM Corp.). Student&#x0027;s t-test or one-way analysis of variance followed by Student-Newman-Keuls post hoc test were used to analyze the differences in MIR100HG expression among the continuous variables. A &#x03C7;<sup>2</sup> test or Fisher&#x0027;s exact test was appropriately used to determine the statistical significance between MIR100HG expression and the patients&#x0027; clinicopathological characteristics. Kaplan-Meier analysis and the log-rank test were used for the comparison of patients&#x0027; survival curves. The hazard ratio with 95&#x0025; confidence interval in the Cox proportional hazards model was calculated to measure the hazard risk of individual factors for disease-free survival (DFS) and overall survival (OS). All graphs were plotted using GraphPad Prism v5.0 software (GraphPad Software, Inc.). 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>High MIR100HG expression is associated with an aggressive phenotype in patients with CRC</title>
<p>A total of 40 paired CRC and normal specimen were randomly selected from the 116 patients to detect MIR100HG expression by RT-qPCR. The results demonstrated that MIR100HG expression was significantly increased in CRC tissues compared with adjacent normal colon mucosae (<xref rid="f1-ol-0-0-11060" ref-type="fig">Fig. 1A</xref>). Furthermore, MIR100HG expression was examined in CRC tissues at different stages. The results revealed that MIR100HG expression was significantly higher in advanced-stage (III&#x002B;IV) CRC tissues compared with low stage (I&#x002B;II) CRC tissues (<xref rid="f1-ol-0-0-11060" ref-type="fig">Fig. 1B</xref>). These results demonstrated that MIR100HG was significantly elevated in CRC and may be associated with an aggressive phenotype in patients with CRC.</p>
<p>Subsequently, the association between MIR100HG expression and TNM stage in the 116 patients with CRC was investigated (<xref rid="b19-ol-0-0-11060" ref-type="bibr">19</xref>). MIR100HG expression was first evaluated in the 116 paired samples by RT-qPCR. A mean value of 5.55 was calculated. CRC samples with an expression level of MIR100HG &#x2265;5.55 and &#x003C;5.55 were classified in the high and low expression groups, respectively. Briefly, 75.0&#x0025; (87/116) of specimens exhibited low MIR100HG expression in normal colorectal mucosa tissues. Furthermore, 25.0&#x0025; (29/116) of normal colorectal mucosa tissues presented with high MIR100HG expression, whereas 68.1&#x0025; (79/116) of CRC samples presented with high MIR100HG expression (<xref rid="tI-ol-0-0-11060" ref-type="table">Table I</xref>). In addition, high MIR100HG expression was positively associated with T stage, lymph node metastasis, distant metastasis, AJCC stage and histological differentiation in CRC samples (<xref rid="tII-ol-0-0-11060" ref-type="table">Table II</xref>). These results further indicated that MIR100HG overexpression may serve a role in CRC metastasis and in the prognosis of patients with CRC.</p>
</sec>
<sec>
<title>MIR100HG upregulation predicts an unfavorable prognosis and poor survival for patients with CRC</title>
<p>The prognostic value of MIR100HG expression in CRC was evaluated by assessing the DFS and OS of the 116 patients with CRC using Kaplan-Meier analysis and log-rank test. The results demonstrated that the DFS and OS of patients with CRC and high MIR100HG expression were shorter compared with those of patients with CRC and low MIR100HG expression (<xref rid="f1-ol-0-0-11060" ref-type="fig">Fig. 1C and D</xref>). These results suggested that high MIR100HG expression may predict a poor prognosis and survival. Furthermore, the results from univariate and multivariate Cox regression analyses demonstrated that MIR100HG expression, AJCC stage, T classification, N classification, M classification and tumor differentiation may be considered as independent prognostic factors for DFS and OS (<xref rid="tIII-ol-0-0-11060" ref-type="table">Tables III</xref> and <xref rid="tIV-ol-0-0-11060" ref-type="table">IV</xref>). These findings suggested that high MIR100HG expression in CRC tissues may be considered as a prognostic factor for patients with CRC.</p>
</sec>
<sec>
<title>Association between MIR100HG expression and clinicopathological characteristics</title>
<p>To further confirm the clinical significance of MIR100HG expression in CRC, the association between MIR100HG expression and the clinicopathological characteristics of patients with CRC was assessed (<xref rid="tII-ol-0-0-11060" ref-type="table">Table II</xref>). The results demonstrated that high MIR100HG expression was significantly associated with AJCC stage (P=0.024), pathological T stage (P=0.048), N stage (P=0.020), M stage (P=0.023) and tumor differentiation (P=0.035). However, no association was identified between high MIR100HG expression and other clinical parameters, including age, sex, tumor size, tumor location and vascular invasion status (P&#x003E;0.05; <xref rid="tII-ol-0-0-11060" ref-type="table">Table II</xref>). These findings suggested that high MIR100HG expression may be associated with CRC migration and invasion.</p>
</sec>
<sec>
<title>Effect of MIR100HG on CRC cell migration and invasion in vitro and in vivo</title>
<p>To further investigate the role of MIR100HG in CRC cells, MIR100HG expression in various CRC cell lines (LoVo, DLD-1, RKO, SW48, HCT8 and HCT116) and the normal intestinal mucous epithelium FHC cell line was assessed by RT-qPCR. The results demonstrated that CRC cell lines exhibited higher MIR100HG expression compared with the FHC cell line (<xref rid="f2-ol-0-0-11060" ref-type="fig">Fig. 2A</xref>). Subsequently, the HCT116 cell line, which exhibited the highest expression levels of MIR100HG, was selected to establish a cell line with knockdown of MIR100HG. Conversely, the LoVo cell line, which displayed the lowest MIR100HG expression level, was selected to establish an overexpression model for MIR100HG. The results of RT-qPCR analysis demonstrated that the transfections were successful (<xref rid="f2-ol-0-0-11060" ref-type="fig">Fig. 2A</xref>).</p>
<p><italic>In vitro</italic> Transwell assays were used to assess the function of MIR100HG in CRC progression. MIR100HG overexpression significantly enhanced the migration and invasion of LoVo cells (P&#x003C;0.001; <xref rid="f2-ol-0-0-11060" ref-type="fig">Fig. 2B</xref>), whereas MIR100HG-knockdown significantly inhibited the migration and invasion of HCT116 cells (P&#x003C;0.001; <xref rid="f2-ol-0-0-11060" ref-type="fig">Fig. 2C</xref>). These results suggested that MIR100HG overexpression may promote the aggressive phenotype of CRC cells <italic>in vitro</italic>.</p>
<p>Subsequently, by injecting CRC cells LoVo and HCT116 into tail veins of nude mice, the impact of MIR100HG on the migratory and invasive capacities of CRC cells was investigated. After 4 weeks, the results demonstrated that higher and lower numbers of liver metastatic colonies were formed in the MIR100HG-overexpression and knockdown groups, respectively, compared with their corresponding controls (P&#x003C;0.001; <xref rid="f2-ol-0-0-11060" ref-type="fig">Fig. 2D</xref>). MIR100HG overexpression may therefore enhance the migratory and invasive capacities of CRC cells <italic>in vitro</italic> and <italic>in vivo</italic>.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Recent studies have reported that distant metastasis remains the main cause of mortality in patients with CRC, and that the liver is the most common metastatic site (<xref rid="b4-ol-0-0-11060" ref-type="bibr">4</xref>,<xref rid="b6-ol-0-0-11060" ref-type="bibr">6</xref>). In total, 15&#x2013;25&#x0025; of patients with CRC have liver metastases at the time of diagnosis (<xref rid="b20-ol-0-0-11060" ref-type="bibr">20</xref>). In addition, 30&#x2013;50&#x0025; of patients with CRC who undergo radical resection will have local and systemic recurrences, and their risk of recurrence following metastatic resection is ~75&#x0025; (<xref rid="b4-ol-0-0-11060" ref-type="bibr">4</xref>&#x2013;<xref rid="b7-ol-0-0-11060" ref-type="bibr">7</xref>). It is therefore crucial to understand the mechanism of CRC and metastasis development. The present study demonstrated that MIR100HG expression was higher in CRC tissues compared with adjacent normal mucosa, and that MIR100HG overexpression was associated with poor prognosis and survival in patients with CRC. In addition, MIR100HG overexpression enhanced the migratory and invasive capacities of CRC cells <italic>in vitro</italic> and liver metastasis <italic>in vivo</italic>, which indicated that MIR100HG expression may be crucial in CRC progression, particularly in colorectal liver metastasis.</p>
<p>MIR100HG, which is located on chromosome 11q24.1, is a polycistronic micro RNA host gene that is associated with the progression of several types of tumor (<xref rid="b21-ol-0-0-11060" ref-type="bibr">21</xref>&#x2013;<xref rid="b23-ol-0-0-11060" ref-type="bibr">23</xref>). It has been reported that MIR100HG overexpression can predict a poor prognosis and is associated with metastasis in cervical cancer (<xref rid="b21-ol-0-0-11060" ref-type="bibr">21</xref>). In addition, MIR100HG overexpression is associated with OS in patients with oral cavity cancer (<xref rid="b22-ol-0-0-11060" ref-type="bibr">22</xref>). MIR100HG is also overexpressed in acute megakaryoblastic leukemia (<xref rid="b23-ol-0-0-11060" ref-type="bibr">23</xref>), and aberrant MIR100HG expression has been reported in patients with CRC and resistant to cetuximab (<xref rid="b24-ol-0-0-11060" ref-type="bibr">24</xref>). However, the clinical significance and prognostic value of MIR100HG expression in CRC remains unclear. The present study elucidated MIR100HG expression in CRC samples, examined its association with clinicopathological characteristics and distant metastasis in patients with CRC, and determined whether it could be considered as a prognosis factor.</p>
<p>The results of RT-qPCR demonstrated that MIR100HG expression was increased in CRC tissues compared with normal tissues. Furthermore, MIR100HG expression in advanced stage (III&#x2013;IV) CRC tissues was significantly increased compared with low stage (I&#x2013;II) CRC tissues, which was consistent with a previous study from The Cancer Genome Atlas data repository (<xref rid="b24-ol-0-0-11060" ref-type="bibr">24</xref>). Subsequently, the association between high MIR100HG expression and the clinicopathological characteristics of patients with CRC was investigated. Previous studies on acute megakaryoblastic leukemia, early-stage cervical cancer and head and neck squamous cell carcinoma have reported that MIR100HG overexpression accelerates tumor malignancy and is associated with poor prognosis and survival (<xref rid="b21-ol-0-0-11060" ref-type="bibr">21</xref>&#x2013;<xref rid="b23-ol-0-0-11060" ref-type="bibr">23</xref>). Similarly, the present study reported that MIR100HG overexpression was associated with poor prognosis and survival in patients with CRC. Furthermore, univariate and multivariate Cox regression analyses demonstrated that MIR100HG expression, AJCC stage, N classification, M classification and tumor differentiation were significantly associated with DFS and OS. Subsequently, <italic>in vitro</italic> cell function assays investigated the impact of MIR100HG on the migratory and invasive capacities of CRC cells. The results demonstrated that MIR100HG upregulation enhanced CRC cell migration and invasion <italic>in vitro</italic>, and liver metastasis <italic>in vivo</italic>. These findings suggested that MIR100HG may have crucial roles in CRC invasion and liver metastasis.</p>
<p>In conclusion, the present study reported the crucial roles of MIR100HG in CRC progression, and indicated that MIR100HG may serve as a novel prognostic biomarker for CRC. Furthermore, future manipulation of MIR100HG levels may represent a potential treatment strategy for patients with CRC, particularly those with colorectal liver metastasis. It has been reported that MIR100HG is the host gene of the microRNA (miR)-100/let-7a-2/miR-125b-1 cluster on chromosome 11, and that MIR100HG overexpression can upregulate miR-100 and miR-125b (<xref rid="b24-ol-0-0-11060" ref-type="bibr">24</xref>). The present study did not examine the impact of MIR100HG on miR-100 and miR-125b-1 expression levels. Future studies will therefore examine the effect of modulating MIR100HG expression on miR-100 and miR-125b expression levels, and will investigate how MIR100HG could promote CRC development and distant metastasis.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>The present study was funded by the Zhejiang Medical Technology Plan Project (grant no. 2017ZD003), the Natural Science Foundation of Jiangsu Province, China (grant no. BK20161168) and the Social Development Project of Xuzhou, China (grant no. KC17109).</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>All data generated or analyzed during this study are included in this published article.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>LL and XT conceived the study and wrote the manuscript. WL and FY performed the experiments. XZ and WC analyzed and interpreted the data.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The present study was approved by the Ethics Committee of Shanghai General Hospital of Nanjing Medical University. All patients provided written informed consent prior to the present study. Animal studies involving mice were in accordance with the Shanghai General Hospital of Nanjing Medical University Animal Care and Use guidelines. Ethical approval was obtained from the Ethics Committee of Shanghai General Hospital of Nanjing Medical University.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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</back>
<floats-group>
<fig id="f1-ol-0-0-11060" position="float">
<label>Figure 1.</label>
<caption><p>MIR100HG expression was significantly upregulated in CRC tissues and could predict a poor prognosis. (A) Expression levels of MIR100H in 40 paired CRC and adjacent noncancerous tissues. (B) MIR100HG expression level in low clinical stage (I&#x2013;II) CRC tissues and advanced stage (III&#x2013;IV) CRC tissues was analyzed. Kaplan-Meier analysis and log-rank test of the (C) overall survival and (D) disease-free survival in patients with CRC according to MIR100HG expression level. AJCC, American Joint Committee on Cancer; CRC, colorectal cancer; MIR100HG, mir-100-let-7a-2-mir-125b-1 cluster host gene. &#x002A;&#x002A;P&#x003C;0.01 vs. normal tissue.</p></caption>
<graphic xlink:href="ol-18-06-6483-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-11060" position="float">
<label>Figure 2.</label>
<caption><p>MIR100HG facilitated CRC cell migration and invasion <italic>in vitro</italic> and liver metastasis <italic>in vivo</italic>. (A) Relative expression levels of MIR100HG in six colorectal cell lines and the normal intestinal mucous epithelium cell line FHC. Transfection efficiency in LoVo and HCT116 cell lines. &#x002A;P&#x003C;0.05, &#x002A;&#x002A;P&#x003C;0.01 and &#x002A;&#x002A;&#x002A;P&#x003C;0.001 vs. FHC. (B and C) Impact of MIR100HG overexpression or knockdown on CRC cell migration and invasion. Magnification, &#x00D7;200. (D) Impact of MIR100HG overexpression and knockdown on liver metastasis in nude mice <italic>in vivo</italic>. Left panel: Without liver metastasis. Right panel: With liver metastasis. HE staining of metastatic colonies formed in the liver. Magnification, &#x00D7;100. The yellow arrow indicates metastatic colonies. NC, negative control; sh, short hairpin RNA; MIR100HG, mir-100-let-7a-2-mir-125b-1 cluster host gene; HE, hematoxylin and eosin. &#x002A;&#x002A;&#x002A;P&#x003C;0.001 vs. control.</p></caption>
<graphic xlink:href="ol-18-06-6483-g01.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-11060" position="float">
<label>Table I.</label>
<caption><p>MIR100HG expression in paired normal colorectal mucosa and tumor tissues.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">Relative MIR100HG expression</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Tissue samples</th>
<th align="center" valign="bottom">Number</th>
<th align="center" valign="bottom">Low, n (&#x0025;)</th>
<th align="center" valign="bottom">High, n (&#x0025;)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Normal tissues</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">87 (75.0)</td>
<td align="center" valign="top">29 (25.0)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Tumor tissue</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">37 (31.9)</td>
<td align="center" valign="top">79 (68.1)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-11060"><p>MIR100HG, mir-100-let-7a-2-mir-125b-1 cluster host gene.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-11060" position="float">
<label>Table II.</label>
<caption><p>Association between MIR100HG expression and clinicopathological characteristics of patients with colorectal cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">Relative MIR100HG expression</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Number (&#x0025;)</th>
<th align="center" valign="bottom">Low, n (n=37, &#x0025;)</th>
<th align="center" valign="bottom">High, n (n=79, &#x0025;)</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 align="center" valign="top">0.596</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;65</td>
<td align="center" valign="top">54 (46.2)</td>
<td align="center" valign="top">20 (54.1)</td>
<td align="center" valign="top">34 (43.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;65</td>
<td align="center" valign="top">62 (53.8)</td>
<td align="center" valign="top">17 (45.9)</td>
<td align="center" valign="top">45 (57.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.629</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">60 (51.7)</td>
<td align="center" valign="top">16 (43.2)</td>
<td align="center" valign="top">44 (55.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">56 (48.3)</td>
<td align="center" valign="top">21 (56.8)</td>
<td align="center" valign="top">35 (44.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor size, cm</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.067</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;3</td>
<td align="center" valign="top">62 (53.4)</td>
<td align="center" valign="top">25 (67.6)</td>
<td align="center" valign="top">37 (46.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;3</td>
<td align="center" valign="top">54 (46.6)</td>
<td align="center" valign="top">12 (32.4)</td>
<td align="center" valign="top">42 (53.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Location</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.416</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Right</td>
<td align="center" valign="top">29 (25.0)</td>
<td align="center" valign="top">6 (16.2)</td>
<td align="center" valign="top">23 (29.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Transverse</td>
<td align="center" valign="top">27 (23.3)</td>
<td align="center" valign="top">17 (45.9)</td>
<td align="center" valign="top">10 (12.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Left</td>
<td align="center" valign="top">60 (51.7)</td>
<td align="center" valign="top">14 (37.9)</td>
<td align="center" valign="top">46 (58.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">AJCC stage</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.024<sup><xref rid="tfn2-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I&#x2013;II</td>
<td align="center" valign="top">45 (38.8)</td>
<td align="center" valign="top">24 (64.9)</td>
<td align="center" valign="top">21 (26.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III&#x2013;IV</td>
<td align="center" valign="top">71 (61.2)</td>
<td align="center" valign="top">13 (35.1)</td>
<td align="center" valign="top">58 (73.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">pT stage</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.048<sup><xref rid="tfn2-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1</td>
<td align="center" valign="top">17 (14.6)</td>
<td align="center" valign="top">10 (27.0)</td>
<td align="center" valign="top">7 (8.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T2</td>
<td align="center" valign="top">46 (39.7)</td>
<td align="center" valign="top">12 (32.4)</td>
<td align="center" valign="top">34 (43.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3</td>
<td align="center" valign="top">37 (31.9)</td>
<td align="center" valign="top">11 (29.8)</td>
<td align="center" valign="top">26 (32.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T4</td>
<td align="center" valign="top">16 (13.8)</td>
<td align="center" valign="top">4 (10.8)</td>
<td align="center" valign="top">12 (15.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">pN stage</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.020<sup><xref rid="tfn2-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0</td>
<td align="center" valign="top">45 (38.8)</td>
<td align="center" valign="top">24 (64.9)</td>
<td align="center" valign="top">21 (26.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N1-2</td>
<td align="center" valign="top">71 (61.2)</td>
<td align="center" valign="top">13 (35.1)</td>
<td align="center" valign="top">58 (73.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">pM stage</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.023<sup><xref rid="tfn2-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;M0</td>
<td align="center" valign="top">101 (87.1)</td>
<td align="center" valign="top">37 (100)</td>
<td align="center" valign="top">64 (81.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;M1</td>
<td align="center" valign="top">15 (12.9)</td>
<td align="center" valign="top">0 (0.0)</td>
<td align="center" valign="top">15 (19.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Differentiation</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.035<sup><xref rid="tfn2-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Well</td>
<td align="center" valign="top">31 (26.7)</td>
<td align="center" valign="top">19 (51.4)</td>
<td align="center" valign="top">12 (15.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Moderate</td>
<td align="center" valign="top">40 (34.5)</td>
<td align="center" valign="top">10 (27.0)</td>
<td align="center" valign="top">30 (38.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Poor</td>
<td align="center" valign="top">45 (38.8)</td>
<td align="center" valign="top">8 (21.6)</td>
<td align="center" valign="top">37 (46.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Vascular invasion</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.862</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">3 (2.6)</td>
<td align="center" valign="top">0 (0.0)</td>
<td align="center" valign="top">3 (3.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">113 (97.4)</td>
<td align="center" valign="top">37 (100)</td>
<td align="center" valign="top">76 (96.2)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-11060"><label>a</label><p>P&#x003C;0.05. AJCC, American Joint Committee on Cancer; MIR100HG, mir-100-let-7a-2-mir-125b-1 cluster host gene.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-11060" position="float">
<label>Table III.</label>
<caption><p>Univariate and multivariate analyses of disease-free survival in patients with colorectal cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Univariate analysis</th>
<th align="center" valign="bottom" colspan="3">Multivariate analysis</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">Variables</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">MIR100HG</td>
<td align="center" valign="top">3.658</td>
<td align="center" valign="top">1.956&#x2013;6.893</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">4.105</td>
<td align="center" valign="top">1.809&#x2013;6.842</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">1.165</td>
<td align="center" valign="top">0.758&#x2013;2.345</td>
<td align="center" valign="top">0.456</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top">1.208</td>
<td align="center" valign="top">0.765&#x2013;1.998</td>
<td align="center" valign="top">0.547</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Tumor size</td>
<td align="center" valign="top">1.077</td>
<td align="center" valign="top">0.657&#x2013;1.954</td>
<td align="center" valign="top">0.658</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Location</td>
<td align="center" valign="top">0.895</td>
<td align="center" valign="top">0.384&#x2013;1.848</td>
<td align="center" valign="top">0.506</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">AJCC Stage</td>
<td align="center" valign="top">4.924</td>
<td align="center" valign="top">1.264&#x2013;5.831</td>
<td align="center" valign="top">0.002<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">5.264</td>
<td align="center" valign="top">1.249&#x2013;6.048</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">T classification</td>
<td align="center" valign="top">1.216</td>
<td align="center" valign="top">1.851&#x2013;2.536</td>
<td align="center" valign="top">0.035<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1.768</td>
<td align="center" valign="top">1.959&#x2013;2.833</td>
<td align="center" valign="top">0.027<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">N classification</td>
<td align="center" valign="top">1.659</td>
<td align="center" valign="top">1.181&#x2013;2.611</td>
<td align="center" valign="top">0.032<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1.937</td>
<td align="center" valign="top">1.349&#x2013;3.117</td>
<td align="center" valign="top">0.022<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">M classification</td>
<td align="center" valign="top">3.786</td>
<td align="center" valign="top">1.854&#x2013;4.594</td>
<td align="center" valign="top">0.003<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">3.853</td>
<td align="center" valign="top">2.432&#x2013;4.897</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Differentiation</td>
<td align="center" valign="top">1.821</td>
<td align="center" valign="top">1.125&#x2013;2.543</td>
<td align="center" valign="top">0.021<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.018</td>
<td align="center" valign="top">1.275&#x2013;3.958</td>
<td align="center" valign="top">0.023<sup><xref rid="tfn3-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Vascular invasion</td>
<td align="center" valign="top">1.354</td>
<td align="center" valign="top">0.872&#x2013;1.685</td>
<td align="center" valign="top">0.183</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-11060"><label>a</label><p>P&#x003C;0.05 indicates that the 95&#x0025; CI of the HR did not include 1. AJCC, American Joint Committee on Cancer; HR, hazard ratio; MIR100HG, mir-100-let-7a-2-mir-125b-1 cluster host gene.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-0-0-11060" position="float">
<label>Table IV.</label>
<caption><p>Univariate and multivariate analyses of overall survival in patients with colorectal cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Univariate analysis</th>
<th align="center" valign="bottom" colspan="3">Multivariate analysis</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">Variable</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">MIR100HG</td>
<td align="center" valign="top">3.241</td>
<td align="center" valign="top">2.843&#x2013;7.231</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">3.533</td>
<td align="center" valign="top">1.877&#x2013;5.958</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">1.072</td>
<td align="center" valign="top">0.694&#x2013;2.017</td>
<td align="center" valign="top">0.442</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top">1.128</td>
<td align="center" valign="top">0.911&#x2013;1.333</td>
<td align="center" valign="top">0.526</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Tumor size</td>
<td align="center" valign="top">0.987</td>
<td align="center" valign="top">0.733&#x2013;2.142</td>
<td align="center" valign="top">0.083</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Location</td>
<td align="center" valign="top">1.035</td>
<td align="center" valign="top">0.767&#x2013;1.842</td>
<td align="center" valign="top">0.723</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">AJCC Stage</td>
<td align="center" valign="top">3.951</td>
<td align="center" valign="top">2.523&#x2013;5.015</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">4.017</td>
<td align="center" valign="top">2.349&#x2013;3.483</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">T classification</td>
<td align="center" valign="top">1.212</td>
<td align="center" valign="top">1.017&#x2013;2.335</td>
<td align="center" valign="top">0.047<sup><xref rid="tfn4-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">2.012</td>
<td align="center" valign="top">1.954&#x2013;2.874</td>
<td align="center" valign="top">0.031<sup><xref rid="tfn4-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">N classification</td>
<td align="center" valign="top">1.537</td>
<td align="center" valign="top">1.061&#x2013;4.938</td>
<td align="center" valign="top">0.043<sup><xref rid="tfn4-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1.977</td>
<td align="center" valign="top">1.575&#x2013;3.213</td>
<td align="center" valign="top">0.044<sup><xref rid="tfn4-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">M classification</td>
<td align="center" valign="top">3.596</td>
<td align="center" valign="top">2.427&#x2013;4.938</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">3.672</td>
<td align="center" valign="top">2.731&#x2013;5.376</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Differentiation</td>
<td align="center" valign="top">2.017</td>
<td align="center" valign="top">1.029&#x2013;3.240</td>
<td align="center" valign="top">0.033<sup><xref rid="tfn4-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1.996</td>
<td align="center" valign="top">1.233&#x2013;2.841</td>
<td align="center" valign="top">0.042<sup><xref rid="tfn4-ol-0-0-11060" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">Vascular invasion</td>
<td align="center" valign="top">1.282</td>
<td align="center" valign="top">1.134&#x2013;2.047</td>
<td align="center" valign="top">0.097</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-ol-0-0-11060"><label>a</label><p>P&#x003C;0.05 indicates that the 95&#x0025; CI of the HR did not include 1. AJCC, American Joint Committee on Cancer; HR, hazard ratio; MIR100HG, mir-100-let-7a-2-mir-125b-1 cluster host gene.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
