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<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.2019.10852</article-id>
<article-id pub-id-type="publisher-id">mmr-21-02-0768</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Long non-coding RNA Unigene56159 promotes glioblastoma multiforme cell proliferation and invasion through negatively regulating microRNA-194-5p</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Jiang</surname><given-names>Guangyu</given-names></name>
<xref rid="af1-mmr-21-02-0768" ref-type="aff">1</xref>
<xref rid="af2-mmr-21-02-0768" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Dong</surname><given-names>Hang</given-names></name>
<xref rid="af3-mmr-21-02-0768" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Dong</surname><given-names>Yu</given-names></name>
<xref rid="af2-mmr-21-02-0768" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Xinyu</given-names></name>
<xref rid="af1-mmr-21-02-0768" ref-type="aff">1</xref>
<xref rid="c1-mmr-21-02-0768" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-mmr-21-02-0768"><label>1</label>Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China</aff>
<aff id="af2-mmr-21-02-0768"><label>2</label>Department of Neurosurgery, Shenzhen SAMII Medical Center, Shenzhen, Guangdong 518118, P.R. China</aff>
<aff id="af3-mmr-21-02-0768"><label>3</label>Department of Hematology, Shenzhen Seventh People&#x0027;s Hospital/Shenzhen Yantian District People&#x0027;s Hospital (Group), Shenzhen, Guangdong 518109, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-21-02-0768"><italic>Correspondence to</italic>: Professor Xinyu Yang, Department of Neurosurgery, Tianjin Medical University General Hospital, 154 Anshan Road, Heping, Tianjin 300052, P.R. China, E-mail: <email>yangxinyupr@163.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub"><month>02</month><year>2020</year></pub-date>
<pub-date pub-type="epub"><day>26</day><month>11</month><year>2019</year></pub-date>
<volume>21</volume>
<issue>2</issue>
<fpage>768</fpage>
<lpage>776</lpage>
<history>
<date date-type="received"><day>14</day><month>05</month><year>2019</year></date>
<date date-type="accepted"><day>09</day><month>10</month><year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Jiang et al.</copyright-statement>
<copyright-year>2020</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/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.</license-p></license>
</permissions>
<abstract>
<p>Long non-coding RNAs (lncRNA) serve a vital role in tumor progression. The present study identified a fundamental role for a novel lincRNA, Unigene56159, in the progression of glioblastoma (GBM). Unigene56159 gene expression was found to be significantly upregulated in tissue samples from patients with GBM as well as in GBM cell lines by reverse transcription-quantitative PCR, while microRNA (miR)-194-5p expression levels were decreased. This higher expression level of Unigene56159 was positively correlated with poor overall survival in patients with GBM. However, the mechanism by which this occurs remains to be elucidated. lncRNAs may act as endogenous miRNA sponges for binding to miRNAs or participating in the competitive endogenous RNAs (ceRNA) regulatory network. Small interfering RNA (siRNA) was used to silence the expression of Unigene56159 and inhibit the proliferation and invasion of GBM cell lines by MTT and Transwell assay. Unigene56159 was found to directly interact with miR-194-5p, and rescue assay was performed to further confirm that Unigene56159 contributed to glioma progression by regulating miR-194-5p. Thus, Unigene56159 may function as a competing endogenous RNA by sequestering miR-194-5p in GBM cells. These findings suggested that Unigene56159 may serve an oncogenic role in GBM and may promote disease progression through interacting with miR-194-5p. This could be a potential therapeutic target for the treatment of GBM.</p>
</abstract>
<kwd-group>
<kwd>glioblastoma</kwd>
<kwd>Unigene56159</kwd>
<kwd>microRNA-194-5p</kwd>
<kwd>invasion</kwd>
<kwd>proliferation</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Glioblastoma is the most common and aggressive primary brain tumor AND originates from the glial cells in adults (<xref rid="b1-mmr-21-02-0768" ref-type="bibr">1</xref>,<xref rid="b2-mmr-21-02-0768" ref-type="bibr">2</xref>). Glioblastoma is characterized by the appearance of vascular proliferation, aggressive invasion and necrosis around human normal brain tissues (<xref rid="b3-mmr-21-02-0768" ref-type="bibr">3</xref>). A previously study identified that glioblastoma accounts for ~75&#x0025; of all malignant tumors associated with the brain (<xref rid="b4-mmr-21-02-0768" ref-type="bibr">4</xref>). According to characteristics of pathologic evaluation and infiltrative growth, different malignant grades result in diverse glioblastoma shapes (<xref rid="b5-mmr-21-02-0768" ref-type="bibr">5</xref>). Despite the progression of treatment from solely surgical intervention to radiotherapy, chemotherapy or targeted treatments, these current treatment options are not effective and the overall survival for most patients with GBM remains poor (<xref rid="b6-mmr-21-02-0768" ref-type="bibr">6</xref>,<xref rid="b7-mmr-21-02-0768" ref-type="bibr">7</xref>), with a median overall survival following surgical resection of 12&#x2013;14 months (<xref rid="b8-mmr-21-02-0768" ref-type="bibr">8</xref>). Glioblastoma patients usually have a poor prognosis with a 5 year survival rate of &#x003C;5&#x0025; (<xref rid="b9-mmr-21-02-0768" ref-type="bibr">9</xref>). Therefore, it is necessary to identify an effective molecular biomarker that can predict the development and progression and could be developed into a novel therapeutic approach for GBM.</p>
<p>Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs, which are &#x003E;200 nucleotides in length and participate in multiple biological processes, including cell differentiation and transcriptional regulation (<xref rid="b10-mmr-21-02-0768" ref-type="bibr">10</xref>,<xref rid="b11-mmr-21-02-0768" ref-type="bibr">11</xref>). LncRNAs exhibit special profiles in various cancers, regulating disease progression and serving as a predictor of patient outcomes. Previous studies identified that lncRNAs function in various aspects of cell biology and can potentially contribute to tumor development, including in GBM (<xref rid="b12-mmr-21-02-0768" ref-type="bibr">12</xref>&#x2013;<xref rid="b14-mmr-21-02-0768" ref-type="bibr">14</xref>). These studies revealed the importance of lncRNAs and suggest a novel potential therapeutic strategy for the treatment of GBM. Although the molecular mechanism and biological function of lncRNA-mediated tumor progression remains largely unknown, previous studies have suggested that lncRNAs can function as competitive endogenous RNAs (ceRNAs) that can sequester microRNAs (miRNAs) (<xref rid="b15-mmr-21-02-0768" ref-type="bibr">15</xref>), which are endogenously expressed non-coding RNAs of ~22 nucleotides in length that participate in tumor progression (<xref rid="b16-mmr-21-02-0768" ref-type="bibr">16</xref>). Another study confirmed the existence of a widespread interaction network of competitive endogenous RNAs (ceRNAs), in which lncRNAs may exert functions by targeting miRNAs and regulating their function role (<xref rid="b17-mmr-21-02-0768" ref-type="bibr">17</xref>). The lncRNA Unigene56159 is located on chromosome 3 and has been reported to be upregulated in hepatocellular carcinoma cells and associated with poor patient prognosis (<xref rid="b18-mmr-21-02-0768" ref-type="bibr">18</xref>).</p>
<p>miRNAs are highly conserved among species, and play important roles in a variety of biological and pathological processes. Dysregulation of miRNAs in glioma has also been reported, and certain miRNAs have been functionally involved in glioma. Previous studies have demonstrated that miR-194-5p may exerts as a tumor-suppressor gene and is down-regulated in many tumors, including glioma (<xref rid="b19-mmr-21-02-0768" ref-type="bibr">19</xref>&#x2013;<xref rid="b23-mmr-21-02-0768" ref-type="bibr">23</xref>). However, the molecular mechanism of miR-194-5p deregulation and how such deregulation contributes to glioma tumorigenesis remains unclear.</p>
<p>Thus, the present study aimed to investigate the interaction between Unigene56159 and miRNA (miR)-194-5p in GBM progression. It demonstrated that Unigene56159 overexpressed in GBM tissues and cell lines and that Unigene56159 may negatively regulate miR-194-5p levels and promote proliferation and invasion, which may provide insight into a potential novel treatment option for GBM.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Cell lines and clinical tissues</title>
<p>Human GBM cell lines (U251, T98G, LN229, SHG44 and A172) were purchased from The Cell Bank of Type Culture Collection of the Chinese Academy of Sciences. Normal human astrocyte cells (NHA) cells were obtained from the American Type Culture Collection. Cells were cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.), supplemented with 10&#x0025; FBS (Gibco; Thermo Fisher Scientific, Inc.) and incubated under humidified conditions at 37&#x00B0;C and 5&#x0025; CO<sub>2.</sub></p>
<p>Human GBM samples and adjacent normal brain samples were collected from 50 patients undergoing surgical resection at Tianjin Medical University General Hospital (Tianjin, China) between June 2013 and June 2017. These glioma samples were from 33 males and 17 females with age ranging from 23&#x2013;75 years (median, 49 years). All GBM samples were examined by two senior pathologists. Written informed consent was obtained from all patients prior to enrollment in the study; the study was approved by The Institutional Review Board of Tianjin Medical University General Hospital.</p>
</sec>
<sec>
<title>Data acquisition and Gene Ontology (GO) term enrichment analysis with Unigene56159 expression</title>
<p>The edgeR software package (Bioconductor) in R Studio 3.5.1 (<uri xlink:href="https://www.rstudio.com/">https://www.rstudio.com/</uri>) was used to analyze the aberrantly expressed lncRNAs in normalized gene expression profile data from The Cancer Genome Atlas (TCGA) GBM database (<xref rid="b24-mmr-21-02-0768" ref-type="bibr">24</xref>,<xref rid="b25-mmr-21-02-0768" ref-type="bibr">25</xref>). RNA sequencing data of GBM tissues and normal brain tissues were collected from the TCGA database (<uri xlink:href="http://cancergenome.nih.gov">http://cancergenome.nih.gov</uri>), and 162 GBM cases were detected in all. For the normalized gene expression profile data, the edge R package of R software was used to analyze significantly aberrantly expressed lncRNAs at the level: moderately to GBM samples vs. normal samples. A log fold change &#x003E;2 and false-discovery rate P&#x003C;0.05 was selected as significantly cutoff values. Significantly enriched gene sets were investigated. The clinical data were obtain from Gene Expression Profiling Interactive Analysis (GEPIA) dataset (<uri xlink:href="http://gepia.cancer-pku.cn/">http://gepia.cancer-pku.cn/</uri>). GO term enrichment analysis was identified using the Database for Annotation, Visualization and Integrated Discovery (DAVID) version 6.8 (<uri xlink:href="https://david.ncifcrf.gov/">https://david.ncifcrf.gov/</uri>).</p>
</sec>
<sec>
<title>Reverse transcription-quantitative PCR (RT-qPCR)</title>
<p>Total RNA was extracted from clinical tissues and GBM cell lines using TRIzol<sup>&#x00AE;</sup> reagent according to the manufacturer&#x0027;s instructions (Invitrogen; Thermo Fisher Scientific, Inc.). A NanoDrop spectrophotometer was used to determine the concentration of extracted RNA. RT-qPCR was performed in triplicate on an ABI 7500 HT fast real-time PCR system (Applied Biosystems; Thermo Fisher Scientific, Inc.) according to the manufacturer&#x0027;s protocol. qPCR was performed using the SYBR<sup>&#x00AE;</sup> Premix Ex Taq&#x2122; II kit (Takara Biotechnology Co., Ltd.), according to the manufacturer&#x0027;s protocol. Primers were: Unigene56159 forward, 5&#x2032;-GTGAAAAGAAACATTCGAGTGT-3&#x2032;, and reverse, 5&#x2032;-TGAAGTAAGCAGGAAAGGGGGA-3&#x2032;; miR-194-5p forward, 5&#x2032;-AGTGTGACGTGACATCCGT-3&#x2032;, and reverse, 5&#x2032;-GCAGCTCAGTAACAGTCCGC-3&#x2032;; PCNA forward, 5&#x2032;-TTTGGTGCAGCTCACCCTG-3&#x2032;, and reverse. 5&#x2032;-CGCGTTATCTTCGGCCCTTA-3&#x2032;; MMP-2 forward, 5&#x2032;-CAGGACATTGTCTTTGATGGCATCGC-3&#x2032;, and reverse, 5&#x2032;-TGAAGAAGTAGCTATGACCACCGCC-3&#x2032;; MMP-9 forward, 5&#x2032;-ATCCCCCACCTTTACCA-3&#x2032;, and reverse 5&#x2032;-TCAGAACCGACCCTACAA-3&#x2032;; U6 forward, 5&#x2032;-TGTGGGCATCAATGATTTGG-3&#x2032; and reverse, 5&#x2032;-ACACCATGTATCCGGGTCAAT-3&#x2032;; GAPDH forward 5&#x2032;-CCATGTTCGTCATGGTGTG-3&#x2032; and reverse, 5&#x2032;-GGTGCTAAGCAGTTGGTGGTG-3&#x2032;. The cycling conditions were: 95&#x00B0;C for 10 min, then 40 cycles at 95&#x00B0;C for 15 sec, and 60&#x00B0;C for 60 sec. U6 was used as a control to normalize the miR-194-5p expression. Relative expression levels were calculated using the 2<sup>&#x2212;&#x0394;&#x0394;Cq</sup> method and normalized to the internal reference gene (<xref rid="b26-mmr-21-02-0768" ref-type="bibr">26</xref>).</p>
</sec>
<sec>
<title>Cell transfection</title>
<p>Unigene56159 small interfering RNA (siRNA) and the negative control (si-NC), miR-194-5p mimic or inhibitor, and their respective negative control (miR-NC; 20 &#x00B5;M)were obtained from Shanghai GenePharma Co., Ltd. Sequences were: Unigenge56159 siRNA forward, 5&#x2032;-GGAGUGAGAUGUCAAAUAACA-3&#x2032;, and reverse, 5&#x2032;-UUAUUAGACAUCACACUCCAU-3&#x2032;; si-NC forward, 5&#x2032;-UUCUACGAAUGUGUCACCUTT-3&#x2032;, and reverse, 5&#x2032;-ACGUGACACGUUCGGAGAATT-3&#x2032;; miR-194-5p mimics forward, 5&#x2032;-UGUAACAGCAACUCCAUGUGGA-3&#x2032;, and reverse, 5&#x2032;-CACAUGGAGUUGCUGUUACAUU-3&#x2032;; miR-194-5p inhibitor forward, 5&#x2032;-UUCUCCGAACGUGUCACGUTT-3&#x2032; and reverse, 5&#x2032;-ACGUGACACUUCGGAGAATT-3&#x2032;; miR-NC forward, 5&#x2032;-CAGUACUUUUGUGUAGUACAA-3&#x2032; and reverse, 5&#x2032;-UUAACUAAUAUUUCAUCCAUA-3&#x2032;. The Lipofectamine<sup>&#x00AE;</sup> 2000 kit (Invitrogen; Thermo Fisher Scientific, Inc.) was used for transfection according the manufacturer&#x0027;s protocol at 37&#x00B0;C for 4 h. Then the supernatant was removed and fresh medium was added. The sample was collected for experiment at 24 h after transfection.</p>
</sec>
<sec>
<title>Dual-luciferase reporter assay</title>
<p>The TargetScan database (<uri xlink:href="http://www.targetscan.org">www.targetscan.org</uri>) and the starBase database (<uri xlink:href="http://starbase.sysu.edu.cn/">http://starbase.sysu.edu.cn/</uri>) were used to investigate target miRNAs interacting with Unigene56159 through complementary sequences. From the statistically relevant microRNAs, the top 5 in terms of their prediction score were selected, including miR-194-5p, miR-124-3p, miR-130a-3p, miR-148a-3p and miR-543: miR-194-5p achieved the highest score in two databases. The human Unigene56159 Luc-reporter (Genepharm, Inc.) was transfected into the ligation site of the Unigene56159 3&#x2032;-untranslated region (UTR) PCR product. U251 cells were cultured in 6-well plates at 3&#x00D7;10<sup>5</sup> cells/wells and co-transfected with pmirGLO-Unigene56159-3&#x2032;UTR-wild-type (WT) or pmirGLO-Unigene56159-3&#x2032;UTR-mutant (MUT), and miR-194-5p or miR-NC mimics. Then cells was incubated in a 37&#x00B0;C, 5&#x0025; CO<sub>2</sub> humidified atmosphere for 4 h and then supernatant was removed. At 48 h post-transfection, luciferase activity was detected using the Luciferase Assay system (Promega Corporation), and normalized to <italic>Renilla</italic> luciferase activity.</p>
</sec>
<sec>
<title>Cell proliferation and colony formation assays</title>
<p>Transfected cells were collected 24 h post-transfection and cultured at a density of 2&#x00D7;10<sup>3</sup> cells/well in 96-well plates. Proliferation assays were performed using a Cell Counting Kit-8 (Beyotime Institute of Biotechnology) according to manufacturer&#x0027;s protocols, and measured at an absorbance of 450 nm at 0, 24, 48 and 72 h (Infinite F50, Tecan Group, Ltd.).</p>
<p>U251 and T98G Cells (~200) were seeded into 6-well plates and cultured in 10&#x0025; FBS at 37&#x00B0;C for 12 days to allow for colony formation. Subsequently, cells were fixed with 4&#x0025; polyoxymethylene for 10 min at room temperature before being stained with 10&#x0025; Giemsa (30 min) (Sigma-Aldrich; Merck KGaA). The number of colonies (&#x003E;50 cells) was calculated under light microscope (Nikon Corp., Tokyo, Japan).</p>
</sec>
<sec>
<title>Cell invasion assays</title>
<p>U251 and T98G cells (5&#x00D7;10<sup>4</sup>) were seeded in the upper chambers of Transwell plates precoated with Matrigel<sup>&#x00AE;</sup> (Corning Life Sciences) in serum-free DMEM (Gibco; Thermo Fisher Scientific, Inc.). DMEM supplemented with 20&#x0025; FBS was added to the lower chambers and the cells were incubated at 37&#x00B0;C in a 5&#x0025; CO<sub>2</sub> humidified atmosphere for 24 h. Following incubation, non-invasive cells in the upper chamber were removed using a cotton swab. The invasive cells in the lower chamber were fixed using 4&#x0025; paraformaldehyde for 10 min and stained with hematoxylin and eosin for 5 min at room temperature. Stained cells were manually counted under a light microscope (Nikon Corporation; magnification &#x00D7;100).</p>
</sec>
<sec>
<title>Western blotting</title>
<p>Total protein was extracted from patient tissue samples (approximately 250 mg/case) and cell lines (U251 and T98G) using RIPA buffer (Pierce; Thermo Fisher Scientific, Inc.). Protein concentrations were determined using the BCA protein assay kit (Bio-Rad Laboratories, Inc.), and 40 &#x00B5;g protein was separated by 10&#x0025; SDS-PAGE. Separated proteins were transferred onto a PVDF membrane (EMD Millipore; Merck KGaA) and blocked for 1 h at room temperature with TBS containing 5&#x0025; non-fat milk (w/v). The membranes were incubated overnight at 4&#x00B0;C with the following primary antibodies: rabbit anti-proliferating cell nuclear antigen PCNA (Rabbit polyclonal antibody, cat. no. 10205-2-AP, 1:500; Wuhan Sanying Biotechnology), rabbit MMP-2 (Rabbit polyclonal antibody, cat. no 10373-2-AP, 1:500; Wuhan Sanying Biotechnology), rabbit anti-MMP-9 (Rabbit polyclonal antibody, cat. no 10375-2-AP, 1:500; Wuhan Sanying Biotechnology) and mouse anti-GAPDH (Mouse Monoclonal Antibody, cat. no. sc-47724, 1:1,000; Santa Cruz Biotechnology, Inc.), as the loading control. Images of the western blots were captured using a ChemiDoc&#x2122; MP Imaging System (Bio-Rad Laboratories, Inc.).</p>
</sec>
<sec>
<title>Immunofluorescence staining</title>
<p>U251 and T98G cell (1&#x00D7;10<sup>5</sup>) were culture on cell slides (glass slides stained with 0.1&#x0025; poly-L-Lysine overnight)and then fixed with 4&#x0025; paraformaldehyde for 20 min and incubated with 0.1&#x0025; Triton X-100 for 10 min at room temperature. Slides were subsequently washed with PBS twice for 5 min and incubated with 5&#x0025; BSA for 1 h at room temperature (CAS Number:9048-46-8, Sigma Aldrich; Merck KGaA), then incubated with primary antibodies against MMP-2 (Rabbit polyclonal antibody, cat. no. 10373-2-AP, 1:100; Wuhan Sanying Biotechnology) at 4&#x00B0;C overnight. Following primary antibody incubation, slides were incubated with fluorescence-labeled rabbit secondary antibody (Rhodamine TRITC-conjugated Goat Anti-Rabbit IgG, Catalog No.: SA00007-2, 1:100, Wuhan Sanying Biotechnology) at room temperature for 1 h. The nuclei were stained with DAPI for 10 min. Slides were visualized using a fluorescent microscope (magnification &#x00D7;400).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>One-way ANOVA with post hoc Tukey&#x0027;s test or Student&#x0027;s t-test was used to compare between groups. Survival curves were drawn using the log-rank test with GraphPad Prism 5.0 (GraphPad Software, Inc.). The correlation between Unigene56159 expression and the clinicopathological characteristics of patients with glioma was analyzed using the &#x03C7;<sup>2</sup> test or Fisher&#x0027;s exact test. Statistical analysis was performed using SPSS 19.0 (IBM Corp.) and data was displayed as mean &#x00B1; SD. Experiments were independently conducted in triplicate. 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>Unigene56159 is upregulated in GBM tissue and correlates with poor prognosis</title>
<p>A log2-fold change (FC) of &#x003E;2 and a false discovery rate (P&#x003C;0.05) were selected as the cut-off values based on the Benjamini-Hochberg method (<xref rid="b27-mmr-21-02-0768" ref-type="bibr">27</xref>). The expression of Unigene56159 was obtained and 151 cases of valid data collected. The top 20 differentially expressed lncRNAs meeting this criteria were collected, and these lncRNAs were identified according to the level of log2FC (<xref rid="f1-mmr-21-02-0768" ref-type="fig">Fig. 1A</xref>). Among the differentially expressed lncRNAs, Unigene56159 expression levels were the highest in GBM, demonstrating markedly upregulated expression levels compared with normal brain tissue (<xref rid="f1-mmr-21-02-0768" ref-type="fig">Fig. 1A and B</xref>). To determine putative functions of Unigene56159, the associated gene expression profiles collected from the GO database were analyzed. The most prominent biological processes included cell migration, cell adhesion and zinc-finger activity (<xref rid="f1-mmr-21-02-0768" ref-type="fig">Fig. 1C</xref>). Moreover, the clinical data collected from the TCGA database (GEPIA) revealed that high levels of Unigene56159 in GBM were associated with a poorer overall survival compared with low Unigene56159 expression levels according to the median survival time of patients (<uri xlink:href="http://gepia.cancer-pku.cn/">http://gepia.cancer-pku.cn/</uri>) (<xref rid="f1-mmr-21-02-0768" ref-type="fig">Fig. 1D</xref>). The expression level of Unigene56159 was also significantly associated with patient&#x0027;s Karnofsky performance scale scores from the data of our clinical sample (n=50; <xref rid="tI-mmr-21-02-0768" ref-type="table">Table I</xref>; P=0.018). Subsequently, RT-qPCR analysis was used to assess Unigene56159 expression levels in GBM and adjacent normal brain tissues for 50 patients from the present study. Unigene56159 expression was significantly increased in the GBM tissue compared with normal brain tissue (<xref rid="f1-mmr-21-02-0768" ref-type="fig">Fig. 1E</xref>). These findings suggested that Unigene56159 may function as an oncogene for GBM progression.</p>
</sec>
<sec>
<title>Downregulated Unigene56159 expression suppresses GBM cell proliferation and invasion</title>
<p>The expression of Unigene56159 was evaluated in GBM cell lines (U251, LN229, T98G, A172 and SHG44) compared with the normal astrocyte cell line (NHA) by RT-qPCR assay (P-values=0.0101, 0.0435, 0.0094, 0.02436 and 0.03435; <xref rid="f2-mmr-21-02-0768" ref-type="fig">Fig. 2A</xref>). It was noted that the Unigene56159 level were higher in U251 and T98G than in other cell lines. To identify the effect of Unigene56159 on the proliferative and invasive ability of GBM, U251 and T98G cells were selected and transfected with either si-Unigene56159 to knockdown Unigene56159 gene expression or with the si-NC. The transfection efficiency of si-Unigene56159 was high, exhibiting significantly decreased expression levels in the si-Unigene56159-transfected cells compared with the si-NC in both U251 and T98G cell lines (<xref rid="f2-mmr-21-02-0768" ref-type="fig">Fig. 2B</xref>). In both GBM cell lines, the knockdown of Unigene56159 resulted in a significant decrease compared with si-NC group at the similar time points in their proliferative capacity following 24&#x2013;72 h (<xref rid="f2-mmr-21-02-0768" ref-type="fig">Fig. 2C</xref>). Furthermore, Unigene56159 silencing significantly reduced the number of colonies (&#x003E;50 cells) (<xref rid="f2-mmr-21-02-0768" ref-type="fig">Fig. 2D</xref>), in addition to the invasive capacity in both U251 and T98G cell lines compared with respective si-NC transfected cells (<xref rid="f2-mmr-21-02-0768" ref-type="fig">Fig. 2E</xref>). These data demonstrated a suppressive function of both proliferative and invasive processes following Unigene56159 silencing in GBM cells <italic>in vitro</italic>.</p>
<p>Invasion and proliferation serve a vital role in tumor progression (<xref rid="b28-mmr-21-02-0768" ref-type="bibr">28</xref>,<xref rid="b29-mmr-21-02-0768" ref-type="bibr">29</xref>). Using data from the TCGA database, the expression of Unigene56159 was obtained and 151 cases of valid data collected and a significant positive correlation was identified between Unigene56159 expression and expression levels of the tumor proliferation marker; PCNA (r=0.3034; P=0.0003) and invasion markers MMP-2 (r=0.3072; P=0.0001) and MMP-9 (r=0.2936; P=0.0012; <xref rid="f3-mmr-21-02-0768" ref-type="fig">Fig. 3A</xref>).</p>
<p>To further determine whether reduced Unigene56159 expression may affect the proliferative and invasive capacity of GBM, mRNA and protein expression levels of PCNA, MMP-2 and MMP-9 were assessed using RT-qPCR and western blot analysis, respectively, and MMP-2 levels were also detected by immunofluorescence. As shown in <xref rid="f3-mmr-21-02-0768" ref-type="fig">Fig. 3B</xref>, Unigene56159 knockdown decreased the protein level of proliferation and invasion markers and inhibited the mRNA expression of PCNA, MMP-2 and MMP-9 (<xref rid="f3-mmr-21-02-0768" ref-type="fig">Fig 3C</xref>). Then PCNA, MMP-2 and MMP-9 were costained in U251 and T98G cells with immunofluorescence staining assays, the result further showed that unigene56159 silencing suppressed the MMP-2 expression in glioma cells (<xref rid="f3-mmr-21-02-0768" ref-type="fig">Fig. 3D</xref>). These results demonstrated that Unigene56159 silencing significantly decreased the expression levels of both proliferation- and invasion-related biomarkers. Taken together, these results suggested that Unigene56159 may be associated with both proliferation and invasion in GBM.</p>
</sec>
<sec>
<title>Correlation between Unigene56159 and miR-194-5p</title>
<p>The complementary sequence between Unigene56159 and miR-194-5p was identified using both the TargetScan database and starBase database. A dual-luciferase reporter assay was subsequently used to identify the putative miR-194-5p target site (<xref rid="f4-mmr-21-02-0768" ref-type="fig">Fig. 4A</xref>). Transfection efficiency was evaluated by increasing or decreasing miR-194-5p expression levels in U251 and T98G cell lines (<xref rid="f4-mmr-21-02-0768" ref-type="fig">Fig. 4B</xref>). Notably, miR-194-5p significantly decreased the luciferase activity of the Unigene56159-3&#x2032;UTR-WT U251 cells, but not the Unigene56159-3&#x2032;UTR-MUT U251 cells (<xref rid="f4-mmr-21-02-0768" ref-type="fig">Fig. 4C</xref>). To determine the role of Unigene56159 on the expression of miR-194-5p, U251 and T98G cells were transfected with siRNA-Unigene56159. The expression of miR-194-5p significantly increased in both U251 and T98G cell lines upon Unigene56159 knockdown compared with si-NC transfected cells (<xref rid="f4-mmr-21-02-0768" ref-type="fig">Fig. 4D</xref>). To further explore this, miR-194-5p expression levels in the 50 GBM samples were compared with normal brain samples and it was found that the expression was significantly decreased in GBM compared with normal tissue (P&#x003C;0.001; <xref rid="f4-mmr-21-02-0768" ref-type="fig">Fig. 4E</xref>). In addition, the level of Unigene56159 expression was significantly negatively correlated with miR-194-5p in GBM patient samples (r=&#x2212;0.4046; P=0.0036; <xref rid="f4-mmr-21-02-0768" ref-type="fig">Fig. 4F</xref>). These data confirmed that miR194-5p represses Unigene56159 in glioma cells.</p>
</sec>
<sec>
<title>miR-194-5p impedes the effect of Unigene56159 in GBM cells</title>
<p>There were 162 cases of miR-194-5p expression with survival time in TCGA database. The Kaplan&#x2013;Meier curve demonstrated that a high level of miR-194-5p was positively correlated with the overall survival of patients with glioma from GEPIA database (<xref rid="f5-mmr-21-02-0768" ref-type="fig">Fig. 5A</xref>). In GBM cell lines, miR-194-5p was found to be significantly decreased compared to NHA cells (<xref rid="f5-mmr-21-02-0768" ref-type="fig">Fig. 5B</xref>); based on this, U251 cells were used to conduct rescue experiments. The level of miR-194-5p increased when transfected with si-Unigene56159 compared with si-NC. However, after adding the miR-194-5p inhibitor in the si-Unigene56159 group, the miR-194-5p level decreased compared with miR-inhibitor NC (<xref rid="f5-mmr-21-02-0768" ref-type="fig">Fig. 5C</xref>). Furthermore, a colony formation assay indicated that a miR-194-5p inhibitor impeded the suppression of proliferative ability following Unigene56159 knockdown (<xref rid="f5-mmr-21-02-0768" ref-type="fig">Fig. 5D</xref>). Tumor invasive ability was also decreased following Unigene56159 knockdown, whereas co-transfection with miR-194-5p inhibitors impeded these effects in U251 cells (<xref rid="f5-mmr-21-02-0768" ref-type="fig">Fig. 5E</xref>). Altogether, these data demonstrated that miR-194-5p may abrogate the malignant behavior of Unigene56159 in GBM cells.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>GBM is one of the most prevalent types of malignant tumor found within the CNS, and the overall survival of patients with late stage GBM remains poor (<xref rid="b1-mmr-21-02-0768" ref-type="bibr">1</xref>,<xref rid="b2-mmr-21-02-0768" ref-type="bibr">2</xref>). Therefore, it is essential to investigate novel therapeutic strategies for patients with GBM. Aberrantly expressed lncRNAs serve an important role in tumor development within multiple cancers (<xref rid="b30-mmr-21-02-0768" ref-type="bibr">30</xref>). However, the underlying mechanism between lncRNAs and GBM is still unclear.</p>
<p>In the present study, high expression levels of Unigene56159 and low levels of miR-194-5p were found in GBM tissues and cell lines compared with normal tissues and cells. Following the suppression of proliferative and invasive capacities of GBM cell lines after siRNA knockdown, it was suggested that Unigene56159 may act as an oncogene in GBM. The result confirmed that miR194-5p repressed Unigene56159 in glioma cells. To further study the effect of miR-194-5p in GBM transfected with si-Unigene56159, Unigene56159 was knocked down with siRNA and the proliferation and invasion ability was decreased. Then the miR-194-5p inhibitor was added to glioma cells (si-Unigene56159 and si-NC) and it was found that the suppressive effect was impeded compared with miR-inhibitor NC group. Together, these results indicated that gene knockdown of Unigene56159 exerted a suppressive effect in GBM progression, suggesting a novel therapeutic strategy for GBM.</p>
<p>lncRNAs act as endogenous miRNA sponges for binding to miRNAs or participating in the competitive endogenous RNAs (ceRNA) regulatory network (<xref rid="b31-mmr-21-02-0768" ref-type="bibr">31</xref>). For example, the lncRNA PVT1 regulates malignant behavior in xenograft models of breast cancer cells (<xref rid="b32-mmr-21-02-0768" ref-type="bibr">32</xref>), whereas small nucleolar RNA host gene 5 knockdown restrains the malignant phenotype of gastric cancer cells by targeting the miR-32/KLF4 axis (<xref rid="b33-mmr-21-02-0768" ref-type="bibr">33</xref>). In addition, the upregulation of SNHG1 in lung cancer positively correlates with both tumor size and tumor-node-metastasis stages (<xref rid="b34-mmr-21-02-0768" ref-type="bibr">34</xref>). Lv <italic>et al</italic> (<xref rid="b18-mmr-21-02-0768" ref-type="bibr">18</xref>) reported that Unigene56159 promotes epithelial-to-mesenchymal transition processes in hepatocellular carcinoma cells by regulating miR-140-5p, whilst Lu <italic>et al</italic> (<xref rid="b35-mmr-21-02-0768" ref-type="bibr">35</xref>) reported that LINC00673 suppresses the migratory and invasive capacity of non-small cell lung cancer by sponging miR-150-5p. lncRNAs can function as competitive endogenous RNAs (ceRNAs) that can sequester miRNAs and prevent their expression. Then lncRNA nullify their ability to target protein-coding mRNAs and indirectly affect downstream biological processes (<xref rid="b36-mmr-21-02-0768" ref-type="bibr">36</xref>,<xref rid="b37-mmr-21-02-0768" ref-type="bibr">37</xref>). Thus, the present study aimed to investigate whether the lncRNA Unigene56159 could act as a ceRNA towards miR-194-5p in GBM.</p>
<p>Results from the present study indicated that high levels of Unigene56159 may correlate with worse overall survival and that miR194-5p repress the effect of Unigene56159 in glioma cells. The negative correlation with Unigene56159 was confirmed by exploring the data in TCGA database. The putative binding site between Unigene56159 and miR-194-5p was detected by using luciferase assay. The present study determined that miR-194-5p was a target of Unigene56159. Unigene56159 silencing can reduce the proliferation and invasion ability of GBM cell and after adding with miR-194-5p inhibitor in si-Unigene56159 group, the suppressive effect of si-Unigene56159 was impeded compared with miR-inhibitor NC. These results provided evidence for a role of Unigene56159 in GBM and may improve our understanding of the mechanisms underlying GBM development. This could provide a promising therapeutic target for the treatment of GBM.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>No funding was received.</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>GJ designed the study, performed experiments, analyzed the data and wrote the manuscript. HD performed the <italic>in vitro</italic> experiments. HD and YD analyzed the data and drafted the manuscript. XY designed and supervised the study, and edited the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Written informed consent was obtained from all patients and the study was approved by the ethics committee of Tianjin Medical University (Tianjin, China). All procedures were performed in accordance with national (D.L.n.26, March 4th, 2014) and international laws and policies (directive 2010/63/EU).</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>
<ref-list>
<title>References</title>
<ref id="b1-mmr-21-02-0768"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lai</surname><given-names>NS</given-names></name><name><surname>Wu</surname><given-names>DG</given-names></name><name><surname>Fang</surname><given-names>XG</given-names></name><name><surname>Lin</surname><given-names>YC</given-names></name><name><surname>Chen</surname><given-names>SS</given-names></name><name><surname>Li</surname><given-names>ZB</given-names></name><name><surname>Xu</surname><given-names>SS</given-names></name></person-group><article-title>Serum microRNA-210 as a potential noninvasive biomarker for the diagnosis and prognosis of glioma</article-title><source>Br J Cancer</source><volume>112</volume><fpage>1241</fpage><lpage>1246</lpage><year>2015</year><pub-id pub-id-type="doi">10.1038/bjc.2015.91</pub-id><pub-id pub-id-type="pmid">25756397</pub-id><pub-id pub-id-type="pmcid">4385967</pub-id></element-citation></ref>
<ref id="b2-mmr-21-02-0768"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chow</surname><given-names>KK</given-names></name><name><surname>Naik</surname><given-names>S</given-names></name><name><surname>Kakarla</surname><given-names>S</given-names></name><name><surname>Brawley</surname><given-names>VS</given-names></name><name><surname>Shaffer</surname><given-names>DR</given-names></name><name><surname>Yi</surname><given-names>Z</given-names></name><name><surname>Rainusso</surname><given-names>N</given-names></name><name><surname>Wu</surname><given-names>MF</given-names></name><name><surname>Liu</surname><given-names>H</given-names></name><name><surname>Kew</surname><given-names>Y</given-names></name><etal/></person-group><article-title>T cells redirected to EphA2 for the immunotherapy of glioblastoma</article-title><source>Mol Ther</source><volume>21</volume><fpage>629</fpage><lpage>637</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/mt.2012.210</pub-id><pub-id pub-id-type="pmid">23070117</pub-id></element-citation></ref>
<ref id="b3-mmr-21-02-0768"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>K</given-names></name><name><surname>Kievit</surname><given-names>FM</given-names></name><name><surname>Jeon</surname><given-names>M</given-names></name><name><surname>Silber</surname><given-names>JR</given-names></name><name><surname>Ellenbogen</surname><given-names>RG</given-names></name><name><surname>Zhang</surname><given-names>M</given-names></name></person-group><article-title>Nanoparticle-mediated target delivery of TRAIL as gene therapy for glioblastoma</article-title><source>Adv Healthc Mater</source><volume>4</volume><fpage>2719</fpage><lpage>2726</lpage><year>2015</year><pub-id pub-id-type="doi">10.1002/adhm.201500563</pub-id><pub-id pub-id-type="pmid">26498165</pub-id><pub-id pub-id-type="pmcid">4715716</pub-id></element-citation></ref>
<ref id="b4-mmr-21-02-0768"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Delfino</surname><given-names>KR</given-names></name><name><surname>Ser&#x00E3;o</surname><given-names>NV</given-names></name><name><surname>Southey</surname><given-names>BR</given-names></name><name><surname>Rodriguez-Zas</surname><given-names>SL</given-names></name></person-group><article-title>Therapy-, gender- and race-specific microRNA markers, target genes and networks related to glioblastoma recurrence and survival</article-title><source>Cancer Genomics Proteomics</source><volume>8</volume><fpage>173</fpage><lpage>183</lpage><year>2011</year><pub-id pub-id-type="pmid">21737610</pub-id><pub-id pub-id-type="pmcid">3321577</pub-id></element-citation></ref>
<ref id="b5-mmr-21-02-0768"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Koekkoek</surname><given-names>JA</given-names></name><name><surname>Postma</surname><given-names>TJ</given-names></name><name><surname>Heimans</surname><given-names>JJ</given-names></name><name><surname>Reijneveld</surname><given-names>JC</given-names></name><name><surname>Taphoorn</surname><given-names>MJ</given-names></name></person-group><article-title>Antiepileptic drug treatment in the end-of-life phase of glioma patients: A feasibility study</article-title><source>Support Care Cancer</source><volume>24</volume><fpage>1633</fpage><lpage>1638</lpage><year>2016</year><pub-id pub-id-type="doi">10.1007/s00520-015-2930-3</pub-id><pub-id pub-id-type="pmid">26404860</pub-id></element-citation></ref>
<ref id="b6-mmr-21-02-0768"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Su</surname><given-names>HK</given-names></name><name><surname>Zhao</surname><given-names>HF</given-names></name><name><surname>Chen</surname><given-names>ZP</given-names></name><name><surname>To</surname><given-names>SS</given-names></name></person-group><article-title>Progress in the application of molecular biomarkers in gliomas</article-title><source>Biochem Biophys Res Commun</source><volume>465</volume><fpage>1</fpage><lpage>4</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.bbrc.2015.07.148</pub-id><pub-id pub-id-type="pmid">26253473</pub-id></element-citation></ref>
<ref id="b7-mmr-21-02-0768"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Delgado-L&#x00F3;pez</surname><given-names>PD</given-names></name><name><surname>Corrales-Garc&#x00ED;a</surname><given-names>EM</given-names></name></person-group><article-title>Survival in glioblastoma: A review on the treatment modalities</article-title><source>Clin Transl Oncol</source><volume>18</volume><fpage>1062</fpage><lpage>1071</lpage><year>2016</year><pub-id pub-id-type="doi">10.1007/s12094-016-1497-x</pub-id><pub-id pub-id-type="pmid">26960561</pub-id></element-citation></ref>
<ref id="b8-mmr-21-02-0768"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Jing</surname><given-names>H</given-names></name><name><surname>Ma</surname><given-names>G</given-names></name><name><surname>Liang</surname><given-names>P</given-names></name></person-group><article-title>Allicin induces apoptosis through activation of both intrinsic and extrinsic pathways in glioma cells</article-title><source>Mol Med Rep</source><volume>17</volume><fpage>5976</fpage><lpage>5981</lpage><year>2018</year><pub-id pub-id-type="pmid">29436625</pub-id></element-citation></ref>
<ref id="b9-mmr-21-02-0768"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mrugala</surname><given-names>MM</given-names></name></person-group><article-title>Advances and challenges in the treatment of glioblastoma: A clinician&#x0027;s perspective</article-title><source>Discov Med</source><volume>83</volume><fpage>221</fpage><lpage>230</lpage><year>2013</year></element-citation></ref>
<ref id="b10-mmr-21-02-0768"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maruyama</surname><given-names>R</given-names></name><name><surname>Suzuki</surname><given-names>H</given-names></name></person-group><article-title>Long noncoding RNA involvement in cancer</article-title><source>BMB Rep</source><volume>45</volume><fpage>604</fpage><lpage>611</lpage><year>2012</year><pub-id pub-id-type="doi">10.5483/BMBRep.2012.45.11.227</pub-id><pub-id pub-id-type="pmid">23186998</pub-id><pub-id pub-id-type="pmcid">4133807</pub-id></element-citation></ref>
<ref id="b11-mmr-21-02-0768"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Spizzo</surname><given-names>R</given-names></name><name><surname>Almeida</surname><given-names>MI</given-names></name><name><surname>Colombatti</surname><given-names>A</given-names></name><name><surname>Calin</surname><given-names>GA</given-names></name></person-group><article-title>Long non-coding RNAs and cancer: A new frontier of translational research</article-title><source>Oncogene</source><volume>31</volume><fpage>4577</fpage><lpage>4587</lpage><year>2012</year><pub-id pub-id-type="doi">10.1038/onc.2011.621</pub-id><pub-id pub-id-type="pmid">22266873</pub-id><pub-id pub-id-type="pmcid">3433647</pub-id></element-citation></ref>
<ref id="b12-mmr-21-02-0768"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Grzmil</surname><given-names>M</given-names></name><name><surname>Morin</surname><given-names>P</given-names><suffix>Jr</suffix></name><name><surname>Lino</surname><given-names>MM</given-names></name><name><surname>Merlo</surname><given-names>A</given-names></name><name><surname>Frank</surname><given-names>S</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Moncayo</surname><given-names>G</given-names></name><name><surname>Hemmings</surname><given-names>BA</given-names></name></person-group><article-title>MAP kinase-interacting kinase 1 regulates SMAD2- dependent TGF-&#x03B2; signaling pathway in human glioblastoma</article-title><source>Cancer Res</source><volume>71</volume><fpage>2392</fpage><lpage>2402</lpage><year>2011</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-10-3112</pub-id><pub-id pub-id-type="pmid">21406405</pub-id></element-citation></ref>
<ref id="b13-mmr-21-02-0768"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>S</given-names></name><name><surname>Wang</surname><given-names>W</given-names></name><name><surname>Liu</surname><given-names>G</given-names></name><name><surname>Xie</surname><given-names>S</given-names></name><name><surname>Li</surname><given-names>Q</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Lin</surname><given-names>Z</given-names></name></person-group><article-title>Long non-coding RNA HOTTIP promotes hypoxia-induced epithelial-mesenchymal transition of malignant glioma by regulating the miR-101/ZEB1 axis</article-title><source>Biomed Pharmacother</source><volume>95</volume><fpage>711</fpage><lpage>720</lpage><year>2017</year><pub-id pub-id-type="doi">10.1016/j.biopha.2017.08.133</pub-id><pub-id pub-id-type="pmid">28886531</pub-id></element-citation></ref>
<ref id="b14-mmr-21-02-0768"><label>14</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 EMT in glioma cells</article-title><source>Oncol Res</source><volume>6</volume><fpage>913</fpage><lpage>921</lpage><year>2017</year><pub-id pub-id-type="doi">10.3727/096504016X14792098307036</pub-id></element-citation></ref>
<ref id="b15-mmr-21-02-0768"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Salmena</surname><given-names>L</given-names></name><name><surname>Poliseno</surname><given-names>L</given-names></name><name><surname>Tay</surname><given-names>Y</given-names></name><name><surname>Kats</surname><given-names>L</given-names></name><name><surname>Pandolfi</surname><given-names>PP</given-names></name></person-group><article-title>A ceRNA hypothesis: The rosetta stone of a hidden RNA language?</article-title><source>Cell</source><volume>146</volume><fpage>353</fpage><lpage>358</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.cell.2011.07.014</pub-id><pub-id pub-id-type="pmid">21802130</pub-id><pub-id pub-id-type="pmcid">3235919</pub-id></element-citation></ref>
<ref id="b16-mmr-21-02-0768"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sullivan</surname><given-names>TB</given-names></name><name><surname>Robert</surname><given-names>LC</given-names></name><name><surname>Teebagy</surname><given-names>PA</given-names></name><name><surname>Morgan</surname><given-names>SE</given-names></name><name><surname>Beatty</surname><given-names>EW</given-names></name><name><surname>Cicuto</surname><given-names>BJ</given-names></name><name><surname>Nowd</surname><given-names>PK</given-names></name><name><surname>Rieger-Christ</surname><given-names>KM</given-names></name><name><surname>Bryan</surname><given-names>DJ</given-names></name></person-group><article-title>Spatiotemporal microRNA profile in peripheral nerve regeneration: miR-138 targets vimentin and inhibits schwann cell migration and proliferation</article-title><source>Neural Regen Res</source><volume>13</volume><fpage>1253</fpage><lpage>1262</lpage><year>2018</year><pub-id pub-id-type="doi">10.4103/1673-5374.235073</pub-id><pub-id pub-id-type="pmid">30028335</pub-id><pub-id pub-id-type="pmcid">6065231</pub-id></element-citation></ref>
<ref id="b17-mmr-21-02-0768"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tay</surname><given-names>Y</given-names></name><name><surname>Kats</surname><given-names>L</given-names></name><name><surname>Salmena</surname><given-names>L</given-names></name><name><surname>Weiss</surname><given-names>D</given-names></name><name><surname>Tan</surname><given-names>SM</given-names></name><name><surname>Ala</surname><given-names>U</given-names></name><name><surname>Karreth</surname><given-names>F</given-names></name><name><surname>Poliseno</surname><given-names>L</given-names></name><name><surname>Provero</surname><given-names>P</given-names></name><name><surname>Di Cunto</surname><given-names>F</given-names></name><etal/></person-group><article-title>Coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs</article-title><source>Cell</source><volume>2</volume><fpage>344</fpage><lpage>357</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.cell.2011.09.029</pub-id></element-citation></ref>
<ref id="b18-mmr-21-02-0768"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lv</surname><given-names>J</given-names></name><name><surname>Fan</surname><given-names>HX</given-names></name><name><surname>Zhao</surname><given-names>XP</given-names></name><name><surname>Lv</surname><given-names>P</given-names></name><name><surname>Fan</surname><given-names>JY</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>M</given-names></name><name><surname>Tang</surname><given-names>H</given-names></name></person-group><article-title>Long non-coding RNA unigene56159 promotes epithelial-mesenchymal transition by acting as a ceRNA of miR-140-5p in hepatocellular carcinoma cells</article-title><source>Cancer Lett</source><volume>2</volume><fpage>166</fpage><lpage>175</lpage><year>2016</year><pub-id pub-id-type="doi">10.1016/j.canlet.2016.08.029</pub-id></element-citation></ref>
<ref id="b19-mmr-21-02-0768"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>Z</given-names></name><name><surname>Lei</surname><given-names>B</given-names></name><name><surname>Wu</surname><given-names>H</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Zheng</surname><given-names>N</given-names></name></person-group><article-title>Tumor suppressive role of miR-194-5p in glioblastoma multiform</article-title><source>Mol Med Rep</source><volume>6</volume><fpage>9317</fpage><lpage>9322</lpage><year>2017</year><pub-id pub-id-type="doi">10.3892/mmr.2017.7826</pub-id></element-citation></ref>
<ref id="b20-mmr-21-02-0768"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Yang</surname><given-names>L</given-names></name><name><surname>Chen</surname><given-names>T</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Guo</surname><given-names>Y</given-names></name><name><surname>Zhu</surname><given-names>Q</given-names></name><name><surname>Tong</surname><given-names>X</given-names></name><name><surname>Yang</surname><given-names>W</given-names></name><name><surname>Xu</surname><given-names>Q</given-names></name><name><surname>Huang</surname><given-names>D</given-names></name><name><surname>Tu</surname><given-names>K</given-names></name></person-group><article-title>A novel lncRNA MCM3AP-AS1 promotes the growth of hepatocellular carcinoma by targeting miR-194-5p/FOXA1 axis</article-title><source>Mol Cancer</source><volume>1</volume><fpage>28</fpage><year>2019</year><pub-id pub-id-type="doi">10.1186/s12943-019-0957-7</pub-id></element-citation></ref>
<ref id="b21-mmr-21-02-0768"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dell&#x0027;Aversana</surname><given-names>C</given-names></name><name><surname>Giorgio</surname><given-names>C</given-names></name><name><surname>D&#x0027;Amato</surname><given-names>L</given-names></name><name><surname>Lania</surname><given-names>G</given-names></name><name><surname>Matarese</surname><given-names>F</given-names></name><name><surname>Saeed</surname><given-names>S</given-names></name><name><surname>Di Costanzo</surname><given-names>A</given-names></name><name><surname>Belsito Petrizzi</surname><given-names>V</given-names></name><name><surname>Ingenito</surname><given-names>C</given-names></name><name><surname>Martens</surname><given-names>JHA</given-names></name><etal/></person-group><article-title>MiR-194-5p/BCLAF1 deregulation in AML tumorigenesis</article-title><source>Leukemia</source><volume>11</volume><fpage>2315</fpage><lpage>2325</lpage><year>2017</year><pub-id pub-id-type="doi">10.1038/leu.2017.64</pub-id></element-citation></ref>
<ref id="b22-mmr-21-02-0768"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>Q</given-names></name><name><surname>Wei</surname><given-names>T</given-names></name><name><surname>Shim</surname><given-names>K</given-names></name><name><surname>Wright</surname><given-names>K</given-names></name><name><surname>Xu</surname><given-names>K</given-names></name><name><surname>Palka-Hamblin</surname><given-names>HL</given-names></name><name><surname>Jurkevich</surname><given-names>A</given-names></name><name><surname>Khare</surname><given-names>S</given-names></name></person-group><article-title>Atypical role of sprouty in colorectal cancer: Sprouty repression inhibits epithelial-mesenchymal transition</article-title><source>Oncogene</source><volume>24</volume><fpage>3151</fpage><lpage>3162</lpage><year>2016</year><pub-id pub-id-type="doi">10.1038/onc.2015.365</pub-id></element-citation></ref>
<ref id="b23-mmr-21-02-0768"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meng</surname><given-names>Z</given-names></name><name><surname>Fu</surname><given-names>X</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Zeng</surname><given-names>S</given-names></name><name><surname>Tian</surname><given-names>Y</given-names></name><name><surname>Jove</surname><given-names>R</given-names></name><name><surname>Xu</surname><given-names>R</given-names></name><name><surname>Huang</surname><given-names>W</given-names></name></person-group><article-title>MiR-194 is a marker of hepatic epithelial cells and suppresses metastasis of liver cancer cells in mice</article-title><source>Hepatology</source><volume>6</volume><fpage>2148</fpage><lpage>2157</lpage><year>2010</year><pub-id pub-id-type="doi">10.1002/hep.23915</pub-id></element-citation></ref>
<ref id="b24-mmr-21-02-0768"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang Da</surname><given-names>W</given-names></name><name><surname>Sherman</surname><given-names>BT</given-names></name><name><surname>Lempicki</surname><given-names>RA</given-names></name></person-group><article-title>Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources</article-title><source>Nat Protoc</source><volume>4</volume><fpage>44</fpage><lpage>57</lpage><year>2009</year><pub-id pub-id-type="doi">10.1038/nprot.2008.211</pub-id><pub-id pub-id-type="pmid">19131956</pub-id></element-citation></ref>
<ref id="b25-mmr-21-02-0768"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Robinson</surname><given-names>MD</given-names></name><name><surname>Mccarthy</surname><given-names>DJ</given-names></name><name><surname>Smyth</surname><given-names>GK</given-names></name></person-group><article-title>edgeR: A bioconductor package for differential expression analysis of digital gene expression data</article-title><source>Bioinformatics</source><volume>1</volume><fpage>139</fpage><lpage>140</lpage><year>2010</year><pub-id pub-id-type="doi">10.1093/bioinformatics/btp616</pub-id></element-citation></ref>
<ref id="b26-mmr-21-02-0768"><label>26</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="b27-mmr-21-02-0768"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Benjamini</surname><given-names>Y</given-names></name><name><surname>Hochberg</surname><given-names>Y</given-names></name></person-group><article-title>Controlling the false discovery rate - A practical and powerful approach to multiple testing</article-title><source>J R Stat Soc</source><volume>1</volume><fpage>289</fpage><lpage>300</lpage><year>1995</year></element-citation></ref>
<ref id="b28-mmr-21-02-0768"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Egeblad</surname><given-names>M</given-names></name><name><surname>Werb</surname><given-names>Z</given-names></name></person-group><article-title>New functions for the matrix metalloproteinases in cancer progression</article-title><source>Nat Rev Cancer</source><volume>3</volume><fpage>161</fpage><lpage>174</lpage><year>2002</year><pub-id pub-id-type="doi">10.1038/nrc745</pub-id></element-citation></ref>
<ref id="b29-mmr-21-02-0768"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mayer</surname><given-names>A</given-names></name><name><surname>Takimoto</surname><given-names>M</given-names></name><name><surname>Fritz</surname><given-names>E</given-names></name><name><surname>Schellander</surname><given-names>G</given-names></name><name><surname>Kofler</surname><given-names>K</given-names></name><name><surname>Ludwig</surname><given-names>H</given-names></name></person-group><article-title>The prognostic significance of proliferating cell nuclear antigen, epidermal growth factor receptor, and mdr gene expression in colorectal cancer</article-title><source>Cancer</source><volume>8</volume><fpage>2454</fpage><lpage>2460</lpage><year>2015</year></element-citation></ref>
<ref id="b30-mmr-21-02-0768"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gibb</surname><given-names>EA</given-names></name><name><surname>Brown</surname><given-names>CJ</given-names></name><name><surname>Lam</surname><given-names>WL</given-names></name></person-group><article-title>The functional role of long non-coding RNA in human carcinomas</article-title><source>Mol Cancer</source><volume>10</volume><fpage>38</fpage><year>2011</year><pub-id pub-id-type="doi">10.1186/1476-4598-10-38</pub-id><pub-id pub-id-type="pmid">21489289</pub-id><pub-id pub-id-type="pmcid">3098824</pub-id></element-citation></ref>
<ref id="b31-mmr-21-02-0768"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qi</surname><given-names>X</given-names></name><name><surname>Zhang</surname><given-names>DH</given-names></name><name><surname>Wu</surname><given-names>N</given-names></name><name><surname>Xiao</surname><given-names>JH</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Ma</surname><given-names>W</given-names></name></person-group><article-title>CeRNA in cancer: Possible functions and clinical implications</article-title><source>J Med Genet</source><volume>10</volume><fpage>710</fpage><lpage>718</lpage><year>2015</year><pub-id pub-id-type="doi">10.1136/jmedgenet-2015-103334</pub-id></element-citation></ref>
<ref id="b32-mmr-21-02-0768"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Sang</surname><given-names>Y</given-names></name><name><surname>Yu</surname><given-names>B</given-names></name><name><surname>Lv</surname><given-names>D</given-names></name><name><surname>Zhang</surname><given-names>W</given-names></name><name><surname>Feng</surname><given-names>H</given-names></name></person-group><article-title>LncRNA PVT1 regulates triple-negative breast cancer through KLF5/beta-catenin signaling</article-title><source>Oncogene</source><volume>34</volume><fpage>4723</fpage><lpage>4734</lpage><year>2018</year><pub-id pub-id-type="doi">10.1038/s41388-018-0310-4</pub-id></element-citation></ref>
<ref id="b33-mmr-21-02-0768"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>S</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Shan</surname><given-names>B</given-names></name><name><surname>Zheng</surname><given-names>D</given-names></name><name><surname>Shi</surname><given-names>J</given-names></name></person-group><article-title>The lncRNA SNHG5/miR-32 axis regulates gastric cancer cell proliferation and migration by targeting KLF4</article-title><source>FASEB J</source><volume>31</volume><fpage>893</fpage><lpage>903</lpage><year>2017</year><pub-id pub-id-type="doi">10.1096/fj.201600994R</pub-id><pub-id pub-id-type="pmid">27871067</pub-id></element-citation></ref>
<ref id="b34-mmr-21-02-0768"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cui</surname><given-names>Y</given-names></name><name><surname>Zhang</surname><given-names>F</given-names></name><name><surname>Zhu</surname><given-names>C</given-names></name><name><surname>Geng</surname><given-names>L</given-names></name><name><surname>Tian</surname><given-names>T</given-names></name><name><surname>Liu</surname><given-names>H</given-names></name></person-group><article-title>Upregulated lncRNA SNHG1 contributes to progression of non-small cell lung cancer through inhibition of miR-101-3p and activation of Wnt/&#x03B2;-catenin signaling pathway</article-title><source>Oncotarget</source><volume>8</volume><fpage>17785</fpage><lpage>17794</lpage><year>2017</year><pub-id pub-id-type="pmid">28147312</pub-id><pub-id pub-id-type="pmcid">5392286</pub-id></element-citation></ref>
<ref id="b35-mmr-21-02-0768"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname><given-names>W</given-names></name><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Niu</surname><given-names>Y</given-names></name><name><surname>Wu</surname><given-names>Y</given-names></name><name><surname>Sun</surname><given-names>W</given-names></name><name><surname>Li</surname><given-names>H</given-names></name><name><surname>Kong</surname><given-names>J</given-names></name><name><surname>Ding</surname><given-names>K</given-names></name><name><surname>Shen</surname><given-names>HM</given-names></name><name><surname>Wu</surname><given-names>H</given-names></name><etal/></person-group><article-title>Long non-coding RNA linc00673 regulated non-small cell lung cancer proliferation, migration, invasion and epithelial mesenchymal transition by sponging miR-150-5p</article-title><source>Mol Cancer</source><volume>16</volume><fpage>118</fpage><year>2017</year><pub-id pub-id-type="doi">10.1186/s12943-017-0716-6</pub-id><pub-id pub-id-type="pmid">28697764</pub-id><pub-id pub-id-type="pmcid">5504775</pub-id></element-citation></ref>
<ref id="b36-mmr-21-02-0768"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cesana</surname><given-names>M</given-names></name><name><surname>Cacchiarelli</surname><given-names>D</given-names></name><name><surname>Legnini</surname><given-names>I</given-names></name><name><surname>Santini</surname><given-names>T</given-names></name><name><surname>Sthandier</surname><given-names>O</given-names></name><name><surname>Chinappi</surname><given-names>M</given-names></name><name><surname>Tramontano</surname><given-names>A</given-names></name><name><surname>Bozzoni</surname><given-names>I</given-names></name></person-group><article-title>A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA</article-title><source>Cell</source><volume>147</volume><fpage>358</fpage><lpage>369</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.cell.2011.10.031</pub-id><pub-id pub-id-type="pmid">22000014</pub-id><pub-id pub-id-type="pmcid">3234495</pub-id></element-citation></ref>
<ref id="b37-mmr-21-02-0768"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karreth</surname><given-names>FA</given-names></name><name><surname>Tay</surname><given-names>Y</given-names></name><name><surname>Perna</surname><given-names>D</given-names></name><name><surname>Ala</surname><given-names>U</given-names></name><name><surname>Tan</surname><given-names>SM</given-names></name><name><surname>Rust</surname><given-names>AG</given-names></name><name><surname>DeNicola</surname><given-names>G</given-names></name><name><surname>Webster</surname><given-names>KA</given-names></name><name><surname>Weiss</surname><given-names>D</given-names></name><name><surname>Perez-Mancera</surname><given-names>PA</given-names></name><etal/></person-group><article-title>In vivo identification of tumor- suppressive PTEN ceRNAs in an oncogenic BRAF-induced mouse model of melanoma</article-title><source>Cell</source><volume>147</volume><fpage>382</fpage><lpage>395</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.cell.2011.09.032</pub-id><pub-id pub-id-type="pmid">22000016</pub-id><pub-id pub-id-type="pmcid">3236086</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-mmr-21-02-0768" position="float">
<label>Figure 1.</label>
<caption><p>Long non-coding RNA Unigene56159 is upregulated in human GBM tissues and is correlated with poor prognosis. (A) A heatmap based on data obtained from the TCGA database demonstrating the differential expression of long non-coding RNAs in GBM tissue compared with normal tissue. (B) Gene expression levels of Unigene56159 in the TCGA GBM cohort compared with the normal cohort. (C) GO analysis of Unigene56159 positively associated genes from the TCGA GBM datasets (D) Kaplan-Meier curve of overall survival in patients with GBM with high or low expression levels of Unigene56159. P&#x003C;0.01. (E) High gene expression levels of Unigene56159 are present in tissues of patients with GBM (n=50), compared with matched normal tissue, and were detected by reverse transcription-quantitative PCR analysis. Each experiment was performed in triplicate. &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;&#x002A;P&#x003C;0.001. GBM, glioblastoma multiforme; GO, Gene Ontology; HR, hazard ratio; TCGA, The Cancer Genome Atlas.</p></caption>
<graphic xlink:href="MMR-21-02-0768-g00.tif"/>
</fig>
<fig id="f2-mmr-21-02-0768" position="float">
<label>Figure 2.</label>
<caption><p>siRNA knockdown of long non-coding RNA Unigene56159 inhibits the proliferative and invasive ability of GBM cell lines <italic>in vitro</italic>. (A) Unigene56159 gene expression levels in GBM cell lines (U251, LN229, T98G, A172 and SHG44) vs. normal NHA cells were assessed by RT-qPCR analysis; &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01. (B) Unigene56159 gene expression was efficiently knocked down by siRNA in U251 and T98G cells, detected by RT-qPCR assays. &#x002A;&#x002A;P&#x003C;0.01 vs. si-NC group. (C) GBM cell growth was detected using the CCK-8 assay. &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01 si-Unigene56159 vs. si-NC. (D) GBM cells transfected with si-NC or si-Unigene56159 were cultured for 12 days and colony formation was examined. &#x002A;P&#x003C;0.05 vs. si-NC group. (E) Transwell assay was conducted to detect the invasion ability; magnification, &#x00D7;100. &#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01 vs. si-NC. Data are presented as mean &#x00B1; SD of three independent experiments. NC, negative control; RT-qPCR, reverse transcription-quantitative PCR; NHA, normal human astrocyte; siRNA, small interfering RNA.</p></caption>
<graphic xlink:href="MMR-21-02-0768-g01.tif"/>
</fig>
<fig id="f3-mmr-21-02-0768" position="float">
<label>Figure 3.</label>
<caption><p>Expression of proliferation- and invasion-related markers in GBM cells. (A) Correlation between long non-coding RNA Unigene56159 and PCNA, MMP-2 and MMP-9 expression in TCGA GBM database. (B) Following transfection with si-Unigene56159 vs. si-NC group, the protein and (C) mRNA expression levels of proliferation (PCNA) and invasion (MMP-2, MMP-9) related biomarkers were explored. &#x002A;P&#x003C;0.05 vs. si-NC group. (D) Immunofluorescent staining assay displayed a decreased level of MMP-2 in si-Unigene56159 transfected cells (magnification &#x00D7;400). The experiment was repeated three times. GBM, glioblastoma multiforme; MMP, matrix metalloproteinase; NC, negative control; PCNA, proliferating cell nuclear antigen; siRNA, small interfering RNA; TCGA, The Cancer Genome Atlas.</p></caption>
<graphic xlink:href="MMR-21-02-0768-g02.tif"/>
</fig>
<fig id="f4-mmr-21-02-0768" position="float">
<label>Figure 4.</label>
<caption><p>Long non-coding RNA Unigene56159 is targeted by miR-194-5p at the 3&#x2032;UTR. (A) The target site of miR-194-5p in the 3&#x2032;UTR region of Unigene56159. (B) miR-194-5p expression is increased by miR-194-5p mimics compared with miR-mimics NC (&#x002A;&#x002A;P&#x003C;0.01 in U251 and T98G cells), or suppressed by miR-194-5p inhibitor compared with miR-inhibitor NC (&#x002A;P&#x003C;0.05 and &#x002A;&#x002A;P&#x003C;0.01), respectively, in U251 and T98G cells. (C) The relative luciferase activity was detected following co-transfection of miR-194-5p mimics vs. miR-NC with Unigene56159-WT (&#x002A;P&#x003C;0.05) or Unigene56159-MUT in U251 or T98G cells using the dual-luciferase reporter assay.. (D) The expression levels of miR-194-5p were examined by RT-qPCR following transfection with si-Unigene56159 or the si-NC in GBM cell lines &#x002A;P&#x003C;0.05 vs. si-NC group. (E) Expression levels of miR-194-5p in GBM were measured using RT-qPCR analysis. &#x002A;&#x002A;&#x002A;P&#x003C;0.001 vs. normal tissues. (F) Pearson&#x0027;s correlation coefficient analysis between Unigene56159 and miR-194-5p expression levels. The experiments were repeated three times.. GBM, glioblastoma multiforme; WT, wild-type; MUT, mutant; miR, microRNA; NC, negative control; siRNA, small interfering RNA; UTR, untranslated region; RT-qPCR, reverse transcription-quantitative PCR.</p></caption>
<graphic xlink:href="MMR-21-02-0768-g03.tif"/>
</fig>
<fig id="f5-mmr-21-02-0768" position="float">
<label>Figure 5.</label>
<caption><p>miR-194-5p inhibits the effect of long non-coding RNA Unigene56159 in GBM cells. (A) Kaplan-Meier survival curve analysis of patient data from TCGA database with high or low levels of miR-194-5p (n=162) (P&#x003C;0.01). (B) Expression levels of miR-194-5p in GBM cell lines were examined by reverse transcription-quantitative PCR. &#x002A;P&#x003C;0.05, &#x002A;&#x002A;P&#x003C;0.01 vs. NHA. (C) Gene expression levels of miR-194-5p were identified in U251 cells co-transfected with (si-Unigene56159) &#x002B; the miR-194-5p inhibitor, and with (si-Unigene56159) &#x002B; miR-inhibitor NC, &#x002A;P&#x003C;0.05 vs. si-NC; and in si-Unigene56159 &#x002B; miR-194-5p inhibitor compared with si-Unigene56159&#x002B;miR-inhibitor NC. <sup>#</sup>P&#x003C;0.05 vs. si-NC. (D) Colony formation assay was determined in transfected cells. (si-Unigene56159 vs. si-NC) &#x002B; the miR-194-5p inhibitor, and with (si-Unigene56159 vs si-NC) &#x002B; miR-inhibitor NC; and in si-Unigene56159 &#x002B; miR-194-5p inhibitor vs. si-Unigene56159&#x002B;miR-inhibitor NC. &#x002A;P&#x003C;0.05 and <sup>#</sup>P&#x003C;0.05. (E) Invasive ability was investigated by using Matrigel assays (si-Unigene56159 vs. si-NC) &#x002B; the miR-194-5p inhibitor, and with (si-Unigene56159 vs. si-NC) &#x002B; miR-inhibitor NC; and in si-Unigene56159 &#x002B; miR-194-5p inhibitor compared with si-Unigene56159&#x002B;miR-inhibitor NC. Scale bar, 500 &#x00B5;m. &#x002A;P&#x003C;0.05 and <sup>##</sup>P&#x003C;0.01. The experiment was repeated three times. NHA, normal human astrocyte; miR, microRNA; NC, negative control; si, small interfering RNA.</p></caption>
<graphic xlink:href="MMR-21-02-0768-g04.tif"/>
</fig>
<table-wrap id="tI-mmr-21-02-0768" position="float">
<label>Table I.</label>
<caption><p>Correlation between the expression of Unigene56159 and the clinicopathological feature in patients&#x0027; glioma tissues.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">miR-194-5p expression</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Clinicopathological characteristic</th>
<th align="center" valign="bottom">Cases (n=50)</th>
<th align="center" valign="bottom">Low</th>
<th align="center" valign="bottom">High</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/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;60</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">0.095</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;60</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">18</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">0.063</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">12</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Karnofsky Performance Score</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;60</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top"><bold>0.018</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;60</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">9</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Mean tumor diameter (cm)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;5</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">20</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Necrosis on MRI</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">0.234</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">12</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Seizure</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.117</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">36</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mmr-21-02-0768"><p>miR, microRNA.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>