Serveur d'exploration Melampsora (ISTEX)

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.
***** Acces problem to record *****\

Identifieur interne : 000919 ( Pmc/Corpus ); précédent : 0009189; suivant : 0009200 ***** probable Xml problem with record *****

Links to Exploration step


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">LncRNA SNHG16 Promotes Hepatocellular Carcinoma Proliferation, Migration and Invasion by Regulating miR-186 Expression</title>
<author>
<name sortKey="Chen, Hang" sort="Chen, Hang" uniqKey="Chen H" first="Hang" last="Chen">Hang Chen</name>
</author>
<author>
<name sortKey="Li, Molin" sort="Li, Molin" uniqKey="Li M" first="Molin" last="Li">Molin Li</name>
</author>
<author>
<name sortKey="Huang, Ping" sort="Huang, Ping" uniqKey="Huang P" first="Ping" last="Huang">Ping Huang</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">31293662</idno>
<idno type="pmc">6603422</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603422</idno>
<idno type="RBID">PMC:6603422</idno>
<idno type="doi">10.7150/jca.28428</idno>
<date when="2019">2019</date>
<idno type="wicri:Area/Pmc/Corpus">000919</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000919</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">LncRNA SNHG16 Promotes Hepatocellular Carcinoma Proliferation, Migration and Invasion by Regulating miR-186 Expression</title>
<author>
<name sortKey="Chen, Hang" sort="Chen, Hang" uniqKey="Chen H" first="Hang" last="Chen">Hang Chen</name>
</author>
<author>
<name sortKey="Li, Molin" sort="Li, Molin" uniqKey="Li M" first="Molin" last="Li">Molin Li</name>
</author>
<author>
<name sortKey="Huang, Ping" sort="Huang, Ping" uniqKey="Huang P" first="Ping" last="Huang">Ping Huang</name>
</author>
</analytic>
<series>
<title level="j">Journal of Cancer</title>
<idno type="eISSN">1837-9664</idno>
<imprint>
<date when="2019">2019</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Long non-coding RNA (lncRNA) and microRNA (miRNA) play an important role in genesis and progression of tumors. The aim of this study was to explore the expression, biological function and molecular mechanism of small nucleolar RNA host gene 16 (SNHG16) in HCC. RT-qPCR was conducted to evaluate the expression level of SNHG16 in HCC tissues and cell lines. Our findings showed for the first time that SNHG16 was up-regulated in HCC tissues and cell lines. The expression of SNHG16 in cancer tissues was highly correlated with tumor size, TNM stage, ALT expression level and HBV DNA level. Moreover, cell proliferation, migration and invasion were detected by CCK-8 assay, transwell migration assay and transwell invasion assay, respectively. Xenograft tumor experiment was used to determine the biological function of SNHG16
<italic>in vivo</italic>
. As revealed by our data, SNHG16 accelerated the proliferation, migration and invasion of HCC cell. SNHG16 facilitated tumor formation
<italic>in vivo</italic>
. Next, the relationship between SNHG16, miR-186 and ROCK1 were analyzed using bioinformatics analysis, qRT-PCR, luciferase reporter assay and western blot. Further molecular mechanism studies reported that the expression of SNHG16 was negatively correlated with the level of miR-186 and SNHG16 directly bound to miR-186. SNHG16 and miR-186 repressed each other. Notably, rescue experiments were conducted and showed that miR-186 reversed the effect of SNHG16 on cell. Taken together, SNHG16 promoted HCC cell proliferation, migration and invasion by functioning as a competitive endogenous RNA (ceRNA) to negatively regulate miR-186 expression. Our data suggested that SNHG16 might be a potential biomarker and a new therapeutic target for HCC.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Ferlay, J" uniqKey="Ferlay J">J Ferlay</name>
</author>
<author>
<name sortKey="Soerjomataram, I" uniqKey="Soerjomataram I">I Soerjomataram</name>
</author>
<author>
<name sortKey="Dikshit, R" uniqKey="Dikshit R">R Dikshit</name>
</author>
<author>
<name sortKey="Eser, S" uniqKey="Eser S">S Eser</name>
</author>
<author>
<name sortKey="Mathers, C" uniqKey="Mathers C">C Mathers</name>
</author>
<author>
<name sortKey="Rebelo, M" uniqKey="Rebelo M">M Rebelo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Forner, A" uniqKey="Forner A">A Forner</name>
</author>
<author>
<name sortKey="Llovet, Jm" uniqKey="Llovet J">JM Llovet</name>
</author>
<author>
<name sortKey="Bruix, J" uniqKey="Bruix J">J Bruix</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ghouri, Ya" uniqKey="Ghouri Y">YA Ghouri</name>
</author>
<author>
<name sortKey="Mian, I" uniqKey="Mian I">I Mian</name>
</author>
<author>
<name sortKey="Rowe, Jh" uniqKey="Rowe J">JH Rowe</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cho, Wc" uniqKey="Cho W">WC Cho</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Khoury, S" uniqKey="Khoury S">S Khoury</name>
</author>
<author>
<name sortKey="Tran, N" uniqKey="Tran N">N Tran</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Braconi, C" uniqKey="Braconi C">C Braconi</name>
</author>
<author>
<name sortKey="Kogure, T" uniqKey="Kogure T">T Kogure</name>
</author>
<author>
<name sortKey="Valeri, N" uniqKey="Valeri N">N Valeri</name>
</author>
<author>
<name sortKey="Huang, N" uniqKey="Huang N">N Huang</name>
</author>
<author>
<name sortKey="Nuovo, G" uniqKey="Nuovo G">G Nuovo</name>
</author>
<author>
<name sortKey="Costinean, S" uniqKey="Costinean S">S Costinean</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tay, Y" uniqKey="Tay Y">Y Tay</name>
</author>
<author>
<name sortKey="Kats, L" uniqKey="Kats L">L Kats</name>
</author>
<author>
<name sortKey="Salmena, L" uniqKey="Salmena L">L Salmena</name>
</author>
<author>
<name sortKey="Weiss, D" uniqKey="Weiss D">D Weiss</name>
</author>
<author>
<name sortKey="Tan, Sm" uniqKey="Tan S">SM Tan</name>
</author>
<author>
<name sortKey="Ala, U" uniqKey="Ala U">U Ala</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Leucci, E" uniqKey="Leucci E">E Leucci</name>
</author>
<author>
<name sortKey="Patella, F" uniqKey="Patella F">F Patella</name>
</author>
<author>
<name sortKey="Waage, J" uniqKey="Waage J">J Waage</name>
</author>
<author>
<name sortKey="Holmstr M, K" uniqKey="Holmstr M K">K Holmstrøm</name>
</author>
<author>
<name sortKey="Lindow, M" uniqKey="Lindow M">M Lindow</name>
</author>
<author>
<name sortKey="Porse, B" uniqKey="Porse B">B Porse</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wang, D" uniqKey="Wang D">D Wang</name>
</author>
<author>
<name sortKey="Qiu, C" uniqKey="Qiu C">C Qiu</name>
</author>
<author>
<name sortKey="Zhang, H" uniqKey="Zhang H">H Zhang</name>
</author>
<author>
<name sortKey="Wang, J" uniqKey="Wang J">J Wang</name>
</author>
<author>
<name sortKey="Cui, Q" uniqKey="Cui Q">Q Cui</name>
</author>
<author>
<name sortKey="Yin, Y" uniqKey="Yin Y">Y Yin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sun, Kx" uniqKey="Sun K">KX Sun</name>
</author>
<author>
<name sortKey="Jiao, Jw" uniqKey="Jiao J">JW Jiao</name>
</author>
<author>
<name sortKey="Chen, S" uniqKey="Chen S">S Chen</name>
</author>
<author>
<name sortKey="Liu, Bl" uniqKey="Liu B">BL Liu</name>
</author>
<author>
<name sortKey="Zhao, Y" uniqKey="Zhao Y">Y Zhao</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cai, J" uniqKey="Cai J">J Cai</name>
</author>
<author>
<name sortKey="Wu, J" uniqKey="Wu J">J Wu</name>
</author>
<author>
<name sortKey="Zhang, H" uniqKey="Zhang H">H Zhang</name>
</author>
<author>
<name sortKey="Fang, L" uniqKey="Fang L">L Fang</name>
</author>
<author>
<name sortKey="Huang, Y" uniqKey="Huang Y">Y Huang</name>
</author>
<author>
<name sortKey="Yang, Y" uniqKey="Yang Y">Y Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="He, W" uniqKey="He W">W He</name>
</author>
<author>
<name sortKey="Feng, J" uniqKey="Feng J">J Feng</name>
</author>
<author>
<name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author>
<name sortKey="Zang, W" uniqKey="Zang W">W Zang</name>
</author>
<author>
<name sortKey="Zhao, G" uniqKey="Zhao G">G Zhao</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hua, X" uniqKey="Hua X">X Hua</name>
</author>
<author>
<name sortKey="Xiao, Y" uniqKey="Xiao Y">Y Xiao</name>
</author>
<author>
<name sortKey="Pan, W" uniqKey="Pan W">W Pan</name>
</author>
<author>
<name sortKey="Li, M" uniqKey="Li M">M Li</name>
</author>
<author>
<name sortKey="Huang, X" uniqKey="Huang X">X Huang</name>
</author>
<author>
<name sortKey="Liao, Z" uniqKey="Liao Z">Z Liao</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dan, S" uniqKey="Dan S">S Dan</name>
</author>
<author>
<name sortKey="Ziyao, W" uniqKey="Ziyao W">W Ziyao</name>
</author>
<author>
<name sortKey="Ping, H" uniqKey="Ping H">H Ping</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Klingenberg, M" uniqKey="Klingenberg M">M Klingenberg</name>
</author>
<author>
<name sortKey="Matsuda, A" uniqKey="Matsuda A">A Matsuda</name>
</author>
<author>
<name sortKey="Diederichs, S" uniqKey="Diederichs S">S Diederichs</name>
</author>
<author>
<name sortKey="Patel, T" uniqKey="Patel T">T Patel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author>
<name sortKey="He, L" uniqKey="He L">L He</name>
</author>
<author>
<name sortKey="Du, Y" uniqKey="Du Y">Y Du</name>
</author>
<author>
<name sortKey="Zhu, P" uniqKey="Zhu P">P Zhu</name>
</author>
<author>
<name sortKey="Huang, G" uniqKey="Huang G">G Huang</name>
</author>
<author>
<name sortKey="Luo, J" uniqKey="Luo J">J Luo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cai, C" uniqKey="Cai C">C Cai</name>
</author>
<author>
<name sortKey="Huo, Q" uniqKey="Huo Q">Q Huo</name>
</author>
<author>
<name sortKey="Wang, X" uniqKey="Wang X">X Wang</name>
</author>
<author>
<name sortKey="Chen, B" uniqKey="Chen B">B Chen</name>
</author>
<author>
<name sortKey="Yang, Q" uniqKey="Yang Q">Q Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ma, J" uniqKey="Ma J">J Ma</name>
</author>
<author>
<name sortKey="Li, T" uniqKey="Li T">T Li</name>
</author>
<author>
<name sortKey="Han, X" uniqKey="Han X">X Han</name>
</author>
<author>
<name sortKey="Yuan, H" uniqKey="Yuan H">H Yuan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Christensen, Ll" uniqKey="Christensen L">LL Christensen</name>
</author>
<author>
<name sortKey="True, K" uniqKey="True K">K True</name>
</author>
<author>
<name sortKey="Hamilton, Mp" uniqKey="Hamilton M">MP Hamilton</name>
</author>
<author>
<name sortKey="Nielsen, Mm" uniqKey="Nielsen M">MM Nielsen</name>
</author>
<author>
<name sortKey="Damas, Nd" uniqKey="Damas N">ND Damas</name>
</author>
<author>
<name sortKey="Damgaard, Ck" uniqKey="Damgaard C">CK Damgaard</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lian, D" uniqKey="Lian D">D Lian</name>
</author>
<author>
<name sortKey="Amin, B" uniqKey="Amin B">B Amin</name>
</author>
<author>
<name sortKey="Du, D" uniqKey="Du D">D Du</name>
</author>
<author>
<name sortKey="Yan, W" uniqKey="Yan W">W Yan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yuan, J" uniqKey="Yuan J">J Yuan</name>
</author>
<author>
<name sortKey="Yue, H" uniqKey="Yue H">H Yue</name>
</author>
<author>
<name sortKey="Zhang, M" uniqKey="Zhang M">M Zhang</name>
</author>
<author>
<name sortKey="Luo, J" uniqKey="Luo J">J Luo</name>
</author>
<author>
<name sortKey="Liu, L" uniqKey="Liu L">L Liu</name>
</author>
<author>
<name sortKey="Wu, W" uniqKey="Wu W">W Wu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Guo, G" uniqKey="Guo G">G Guo</name>
</author>
<author>
<name sortKey="Kang, Q" uniqKey="Kang Q">Q Kang</name>
</author>
<author>
<name sortKey="Zhu, X" uniqKey="Zhu X">X Zhu</name>
</author>
<author>
<name sortKey="Chen, Q" uniqKey="Chen Q">Q Chen</name>
</author>
<author>
<name sortKey="Wang, X" uniqKey="Wang X">X Wang</name>
</author>
<author>
<name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lu, Yf" uniqKey="Lu Y">YF Lu</name>
</author>
<author>
<name sortKey="Cai, Xl" uniqKey="Cai X">XL Cai</name>
</author>
<author>
<name sortKey="Li, Zz" uniqKey="Li Z">ZZ Li</name>
</author>
<author>
<name sortKey="Lv, J" uniqKey="Lv J">J Lv</name>
</author>
<author>
<name sortKey="Xiang, Ya" uniqKey="Xiang Y">YA Xiang</name>
</author>
<author>
<name sortKey="Chen, Jj" uniqKey="Chen J">JJ Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wang, N" uniqKey="Wang N">N Wang</name>
</author>
<author>
<name sortKey="Cao, P" uniqKey="Cao P">P Cao</name>
</author>
<author>
<name sortKey="Xia, W" uniqKey="Xia W">W Xia</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Thomson, Dw" uniqKey="Thomson D">DW Thomson</name>
</author>
<author>
<name sortKey="Dinger, Me" uniqKey="Dinger M">ME Dinger</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Krol, J" uniqKey="Krol J">J Krol</name>
</author>
<author>
<name sortKey="Loedige, I" uniqKey="Loedige I">I Loedige</name>
</author>
<author>
<name sortKey="Filipowicz, W" uniqKey="Filipowicz W">W Filipowicz</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cui, G" uniqKey="Cui G">G Cui</name>
</author>
<author>
<name sortKey="Cui, M" uniqKey="Cui M">M Cui</name>
</author>
<author>
<name sortKey="Li, Y" uniqKey="Li Y">Y Li</name>
</author>
<author>
<name sortKey="Liang, Y" uniqKey="Liang Y">Y Liang</name>
</author>
<author>
<name sortKey="Li, W" uniqKey="Li W">W Li</name>
</author>
<author>
<name sortKey="Guo, H" uniqKey="Guo H">H Guo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cao, C" uniqKey="Cao C">C Cao</name>
</author>
<author>
<name sortKey="Sun, D" uniqKey="Sun D">D Sun</name>
</author>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author>
<name sortKey="Song, L" uniqKey="Song L">L Song</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Morgan Fisher, M" uniqKey="Morgan Fisher M">M Morgan-Fisher</name>
</author>
<author>
<name sortKey="Wewer, Um" uniqKey="Wewer U">UM Wewer</name>
</author>
<author>
<name sortKey="Yoneda, A" uniqKey="Yoneda A">A Yoneda</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Cancer</journal-id>
<journal-id journal-id-type="iso-abbrev">J Cancer</journal-id>
<journal-id journal-id-type="publisher-id">jca</journal-id>
<journal-title-group>
<journal-title>Journal of Cancer</journal-title>
</journal-title-group>
<issn pub-type="epub">1837-9664</issn>
<publisher>
<publisher-name>Ivyspring International Publisher</publisher-name>
<publisher-loc>Sydney</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">31293662</article-id>
<article-id pub-id-type="pmc">6603422</article-id>
<article-id pub-id-type="doi">10.7150/jca.28428</article-id>
<article-id pub-id-type="publisher-id">jcav10p3571</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>LncRNA SNHG16 Promotes Hepatocellular Carcinoma Proliferation, Migration and Invasion by Regulating miR-186 Expression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Hang</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Molin</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Ping</given-names>
</name>
<xref ref-type="corresp" rid="FNA_envelop"></xref>
</contrib>
</contrib-group>
<aff>National Key Clinical Department, Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing 400000, P.R. China.</aff>
<author-notes>
<corresp id="FNA_envelop">✉ Corresponding author: Professor Ping Huang, National Key Clinical Department, Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, 1 Youyi Road, Yuzhong, Chongqing 400000, P.R. China. E-mail:
<email>huangping@hospital.cqmu.edu.cn</email>
Telephone Number: 18623317078</corresp>
<fn fn-type="COI-statement">
<p>Competing Interests: The authors have declared that no competing interest exists.</p>
</fn>
</author-notes>
<pub-date pub-type="collection">
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>9</day>
<month>6</month>
<year>2019</year>
</pub-date>
<volume>10</volume>
<issue>15</issue>
<fpage>3571</fpage>
<lpage>3581</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>7</month>
<year>2018</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>4</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>© Ivyspring International Publisher</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 Creative Commons Attribution (CC BY-NC) license (
<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</ext-link>
). See
<ext-link ext-link-type="uri" xlink:href="http://ivyspring.com/terms">http://ivyspring.com/terms</ext-link>
for full terms and conditions.</license-p>
</license>
</permissions>
<abstract>
<p>Long non-coding RNA (lncRNA) and microRNA (miRNA) play an important role in genesis and progression of tumors. The aim of this study was to explore the expression, biological function and molecular mechanism of small nucleolar RNA host gene 16 (SNHG16) in HCC. RT-qPCR was conducted to evaluate the expression level of SNHG16 in HCC tissues and cell lines. Our findings showed for the first time that SNHG16 was up-regulated in HCC tissues and cell lines. The expression of SNHG16 in cancer tissues was highly correlated with tumor size, TNM stage, ALT expression level and HBV DNA level. Moreover, cell proliferation, migration and invasion were detected by CCK-8 assay, transwell migration assay and transwell invasion assay, respectively. Xenograft tumor experiment was used to determine the biological function of SNHG16
<italic>in vivo</italic>
. As revealed by our data, SNHG16 accelerated the proliferation, migration and invasion of HCC cell. SNHG16 facilitated tumor formation
<italic>in vivo</italic>
. Next, the relationship between SNHG16, miR-186 and ROCK1 were analyzed using bioinformatics analysis, qRT-PCR, luciferase reporter assay and western blot. Further molecular mechanism studies reported that the expression of SNHG16 was negatively correlated with the level of miR-186 and SNHG16 directly bound to miR-186. SNHG16 and miR-186 repressed each other. Notably, rescue experiments were conducted and showed that miR-186 reversed the effect of SNHG16 on cell. Taken together, SNHG16 promoted HCC cell proliferation, migration and invasion by functioning as a competitive endogenous RNA (ceRNA) to negatively regulate miR-186 expression. Our data suggested that SNHG16 might be a potential biomarker and a new therapeutic target for HCC.</p>
</abstract>
<kwd-group>
<kwd>SNHG16</kwd>
<kwd>miR-186</kwd>
<kwd>HCC</kwd>
<kwd>Proliferation</kwd>
<kwd>Migration</kwd>
<kwd>Invasion</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related deaths worldwide
<xref rid="B1" ref-type="bibr">1</xref>
. The characteristics of high metastasis and invasiveness lead to a high recurrence rate
<xref rid="B2" ref-type="bibr">2</xref>
thereby resulting in a poor prognosis
<xref rid="B3" ref-type="bibr">3</xref>
. The pathogenesis of HCC involved in many signaling pathways, and the molecular mechanism underlying malignant progression of HCC is quite ambiguous. Therefore, it is imperative to study the molecular mechanism of HCC, and explore possible tumor markers and therapeutic targets.</p>
<p>MicroRNA (miRNA) and long non-coding RNA (lncRNA) have been considered as a new biomarkers and therapeutic target
<xref rid="B4" ref-type="bibr">4</xref>
,
<xref rid="B5" ref-type="bibr">5</xref>
. MiRNAs, non-coding RNAs with a size of 20-25 nucleotides, are highly conserved and derived from hairpins or double-stranded RNA precursors
<xref rid="B6" ref-type="bibr">6</xref>
. The incomplete base complementation between the miRNA and the target mRNA can suppress the expression of targeted mRNA
<xref rid="B7" ref-type="bibr">7</xref>
, and a full complementation leads to the degradation of targeted mRNA
<xref rid="B8" ref-type="bibr">8</xref>
. MiRNAs serve an important role in growth, apoptosis, differentiation, metabolism and immunity of cells and molecules, and is considered as potential new targets for cancer diagnosis and treatment
<xref rid="B9" ref-type="bibr">9</xref>
. Multiple studies have indicated that miR-186 expression was markedly decreased in ovarian cancer
<xref rid="B10" ref-type="bibr">10</xref>
, non-small cell lung cancer
<xref rid="B11" ref-type="bibr">11</xref>
, esophageal cancer
<xref rid="B12" ref-type="bibr">12</xref>
and prostate cancer
<xref rid="B13" ref-type="bibr">13</xref>
. MiR-186 exerts tumor inhibitory functions by inhibiting proliferation, migration, invasion and inducing apoptosis in HCC
<xref rid="B14" ref-type="bibr">14</xref>
.</p>
<p>Thousands of non-coding RNA (ncRNA) genes have been discovered by the development of high-throughput RNA sequencing technology
<xref rid="B15" ref-type="bibr">15</xref>
. LncRNAs are defined as transcripts longer than 200 nucleotides (nt) that are 5ˊcapped and 3ˊpolyadenylated, yet this class of transcripts has limited coding potential
<xref rid="B16" ref-type="bibr">16</xref>
. LncRNA expressions in a variety of tumors, such as breast cancer
<xref rid="B17" ref-type="bibr">17</xref>
, liver cancer
<xref rid="B18" ref-type="bibr">18</xref>
, colorectal cancer
<xref rid="B19" ref-type="bibr">19</xref>
, gastric cancer
<xref rid="B20" ref-type="bibr">20</xref>
and other tumor tissues have significant differences. These abnormally expressed lncRNAs may play a role in processes such as chromatin modification, X chromosome silencing, transcription, translation, gene imprinting, dose compensation effects, protein activity regulation and RNA variably splicing regulation
<xref rid="B21" ref-type="bibr">21</xref>
. LncRNAs can function biologically through multiple molecular mechanisms. The most common is acting as competing endogenous RNA (ceRNA) to regulate gene expression by sequestering miRNAs, thereby affecting cell function
<xref rid="B22" ref-type="bibr">22</xref>
. We predicted by bioinformatics that SNHG16 can interact with miR-186 as ceRNA in HCC. SNHG16 is located on human chromosome 17q25.1. It's reported that SNHG16 was involved in multifarious kinds of cancer, including, breast cancer
<xref rid="B17" ref-type="bibr">17</xref>
, glioma
<xref rid="B23" ref-type="bibr">23</xref>
and colorectal cancer
<xref rid="B19" ref-type="bibr">19</xref>
. However, the upstream event underlying SNHG16 deregulation in each cancer type may also be different and requires further research. Especially, the role of SNHG16 in HCC is still unclear.</p>
<p>Our study showed for the first time that SNHG16 was significantly up-regulated in HCC tissues and cells. In addition, the expression of SNHG16 was correlated with tumor size, TNM stage, ALT expression level and HBV DNA level. SNHG16 promoted cell proliferation, migration and invasion. SNHG16 facilitated tumor formation
<italic>in vivo</italic>
. Mechanistically, SNHG16 and miR-186 directly interacted with and repressed each other. SNHG16 acted as a ceRNA for miR-186 to facilitate proliferation, migration and invasion of HCC cell. These results contribute to a better understanding of the pathogenesis of HCC and facilitate the development of diagnosis and therapy for HCC.</p>
</sec>
<sec sec-type="methods">
<title>Materials and Methods</title>
<sec>
<title>Tissue specimens</title>
<p>50 cases of HCC tissues and matched adjacent nontumorous liver tissues (>3 cm away from the cancerous tissue) were obtained from the First Affiliated Hospital of Chongqing Medical University during August 2015 to December 2017. Patients did not received chemotherapy or radiotherapy before surgery and HCC was confirmed by pathological examinations. Tissues were placed in the RNA preserving solution, overnight at 4°C, and preserved at -80 °C until RNA extraction. The protocol of this experiment was approved by the Ethics Committee of the First Affiliated Hospital of Chongqing Medical University and complied with the ethical guidelines of the 1975 Declaration of Helsinki.</p>
</sec>
<sec>
<title>Cell culture and transfection</title>
<p>Human HCC cell lines (Hep-3B, Huh7, Sk-hep-1, SMMC-7721 and PLC) and normal liver cell line (HL-77O2) were obtained from the China Center for Type Culture Collection (Wuhan, China). Hep-3B, Huh7 and Sk-hep-1 cells were cultured in DMEM medium (Gibco, Carlsbad, CA,USA) containing 10% fetal bovine serum (PAN, Bavaria, Germany) and SMMC-7721, PLC and HL-77O2 cells were cultured in RPMI1640 medium containing 10% fetal bovine serum. Cells were cultured at 5% CO
<sub>2</sub>
and 37 °C.</p>
<p>PLVX-ZsGreen-hsa-miR-186 (miR-186 mimic), pLVX-ZsGreen (miR-186 mimic control), pLVX-tdTomato-hsa-miR-186 inhibitor (miR-186 inhibitor) and pLVX-tdTomato (miR-186 inhibitor control) were purchased from GeneCopeia (Guangzhou, China). Cells were cultured in a six-well plate. Plasmid was transferred into cells using Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's protocol, when cells reached 50-70% confluence. Cells were collected for later experiments after 48h transfection.</p>
<p>HBLV-h-SNHG16-GFP-PURO (SNHG16), HBLV-GFP-PURO (NC), HBLV-h-SNHG16-shRNA1-GFP-PURO (sh-SNHG16-1), HBLV-h-SNHG16-shRNA2-GFP-PURO (sh-SNHG16-2), HBLV-h-SNHG16-shRNA3-GFP-PURO (sh-SNHG16-3), HBLV-GFP-PURO (sh-NC), polybrene and puromycin were purchased from Hanbio Biotechnology Co., Ltd (Shanghai, China). Cells were seeded at 1.25*10
<sup>6</sup>
/well in a 6-well plate. Lentivirus-mediated vector was infected into cells using polybrene, when cells reached 50-70% density. Puromycin (2ug/ml) was added to remove uninfected cells.</p>
</sec>
<sec>
<title>Relative quantitative real-time PCR (qRT-PCR)</title>
<p>Total RNA was extracted from tissues or cell using the TRIzol reagent (Invitrogen, USA). The cDNA was synthesized using the All-in-One Fist-Strand cDNA Synthesis Kit (GeneCopeia, Guangzhou, China) or the miRNA First Strand cDNA Synthesis Kit (GeneCopeia). Real-time PCR (RT-PCR) was performed using the All-in-One qPCR Mix Kit (GeneCopeia) or the MicroRNAs qPCR Kit (GeneCopeia). All qRT-PCRs were performed with CFX96
<sup>TM</sup>
Real-Time PCR System (Bio-Rad, USA). The RNA primers were: SNHG16, 5′-GTTCCTCTAAGTAATCGCCATGCGTTCT-3′ (forward), 5′-CATTTCAGTTTACAATCCTTGCAGTCCC-3′ (reverse); ROCK1, 5′-AAAGCCTTACTGTCGATTGCC-3′ (forward), 5′-AGGGTAATGCAACTTCCACTG-3′ (reverse); GAPDH, 5′-CAGCTAGCCGCATCTTCTTTT-3′ (forward), 5′-GTGACCAGGCGCCCAATAC-3′ (reverse); miR-186, 5′-CGACGCGTCGGGTTTACAGAACACCCATCA-3′ (forward), 5′-CCATCGATGGGGCACAGCAACAAAAGACT-3′ (reverse); U6, 5′-CTCGCTTCGGCAGCACA-3′ (forward), 5′-AACGCTTCACGAATTTGCGT-3′ (reverse). GAPDH or U6 was the reference.</p>
</sec>
<sec>
<title>CCK-8 assay</title>
<p>Cell proliferation was assessed using Cell Counting Kit-8 assay (CCK-8, Hanbio Biotechnology Co., Ltd., Shanghai, China). Briefly, cells were seeded in a 96-well plate at a density of 2500 cells/well, and cell viability was determined at series time points.</p>
</sec>
<sec>
<title>Transwell migration and invasion assay</title>
<p>Cell migration and invasion were assessed using transwell chambers (8.0 μm pore size; EMD Millipore, Billerica, MA, USA) and Matrigel (diluted 1:9) (Corning Inc., USA), respectively. For migration assay, the infected Hep-3B cells (4×10
<sup>5</sup>
) or Sk-hep-1 cells (2×10
<sup>5</sup>
) were resuspended in 200 ul serum-free MEM medium and seeded into the upper chamber, and 500ul DMEM medium containing 10% serum was added to the bottom chamber. For invasion assay, cells-containing medium were seeded into the upper chamber of Matrigel-coated (Corning Inc., USA), and 500ul DMEM medium containing 10% serum was added to the bottom chamber. After 24 h, the upper chamber cells were removed with cotton swabs, the lower membrane cells were fixed in 4% paraformaldehyde for 30 minutes, and then stained with 0.1% crystal violet (Beyotime, Jiangsu, China) for 30 minutes. Cells were counted under an upright microscope (Nikon, Japan, 200× magnification).</p>
</sec>
<sec>
<title>Western-blot analysis</title>
<p>Total protein was extracted from cells. Proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) (Beyotime, Jiangsu, China) and then transferred onto PVDF membrane (Millipore, Billerica, MA, USA). The membranes were blocked with 5% skimmed at room temperature for 2 h. Anti-ROCK1 (1:500, Ruiyingbio, Suzhou, China), anti-GAPDH (1:500, Ruiyingbio) were added overnight at 4°C. The membranes were subsequently incubated with goat anti-rabbit IgG secondary antibody conjugated to horseradish peroxidase (1:5,000, Ruiyingbio) at room temperature for 2h. Finally, proteins were visualized using a WestrenBright ECL Kit (Advansta, USA).</p>
</sec>
<sec>
<title>Luciferase reporter assay</title>
<p>The reporter vector pmiRGLO-SNHG16-wild-type (SNHG16-wt) or miRGLO-SNHG16-mutant (SNHG16-mut) containing the predicted miR-186 binding sites were purchased from GenePharma (Shanghai, China). SNHG16-wt or SNHG16-mut was co-transfected with miR-186 mimic or miR-186 mimic control into cells using Lipofectamine 2000 (invitrogen, USA). After 48 h, firefly and renilla luciferase activities were measured with the Dual Luciferase Reporter assay system (Promega, USA). The luciferase activities were normalized with the renilla luciferase activity.</p>
</sec>
<sec>
<title>Xenograft tumor model</title>
<p>4-week female BALB/c nude mice were obtained from the Laboratory Animal Center Chongqing Medical University (Chongqing, China). 5×10
<sup>6</sup>
cells infected with SNHG16, NC or sh-SNHG16-2, sh-NC were injected subcutaneously into the hip back of mice (4 mice in each group). Tumor volumes were measured every 4 days, and the size of the tumors was calculated: length × width
<sup>2</sup>
/2(mm
<sup>3</sup>
). All mice were sacrificed on the 28th day, and tumors were removed, weighed and photographed.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All the statistical analyses were performed using the GraphPad software 6.0 (GraphPad Inc., San Diego, CA, USA) and SPSS program (version 24.0 SPSS, Chicago ,IL,USA). Each experiment was repeated at least three times. Data were presented as Mean±SD (standard deviation). Differences were considered as statistically significant at P<0.05.</p>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>SNHG16 was up-regulated in HCC tissues and cell lines</title>
<p>RT-qPCR was performed to detect the expression of SNHG16 in 50 pairs of HCC tissues and paired adjacent normal liver tissues. The results of qRT-PCR revealed that the expression level of SNHG16 was up-regulated in HCC tissues in comparison with adjacent non-tumor liver tissues (Figure
<xref ref-type="fig" rid="F1">1</xref>
A). In order to investigate the correlation between SNHG16 and clinicopathological variables, 50 HCC patients were divided into high and low expression groups according to the average expression level of SNHG16 in HCC tissues. We performed Chi-square test and found that the SNHG16 level was correlated with the tumor size, TNM stage; ALT level and HBV DNA level (Table
<xref rid="T1" ref-type="table">1</xref>
). These indicated that SNHG16 may be a biomarker for HCC.</p>
<p>Furthermore, the expression of SNHG16 in five HCC cell lines (Hep-3B, Huh7, Sk-hep-1, SMMC-7721 and PLC) and normal liver cell line (HL-77O2) was validated. The results indicated that HCC cell lines had a higher SNHG16 expression level compared with normal liver cell line. The lowest level was detected in Hep-3B, and the highest level was noted in Sk-hep-1 (Figure
<xref ref-type="fig" rid="F1">1</xref>
B). Therefore, NC and SNHG16 were infected into Hep-3B cells, and shRNA-NC(sh-NC) and three shRNAs for SNHG16 (sh-SNHG16-1, sh-SNHG16-2 and sh-SNHG16-3) were infected into Sk-hep-1 cells. The results of qRT-PCR demonstrated that expression of SNHG16 was significantly increased in Hep-3B cells after infected with SNHG16 relative to Hep-3B cells infected with NC (Figure
<xref ref-type="fig" rid="F1">1</xref>
C). Compared with the SK-hep-1 cells infected with sh-NC, SK-hep-1 cells infected with sh-SNHG16-2 markedly downregulated SNHG16 expression (Figure
<xref ref-type="fig" rid="F1">1</xref>
D). Therefore, Hep-3B cells stably overexpressing SNHG16 or SK-hep-1 cells stably knocking down SNHG16 and their control cells were selected by puromycin screen test for subsequent experiments.</p>
</sec>
<sec>
<title>SNHG16 promoted HCC cell proliferation, migration and invasion
<italic>in vitro</italic>
</title>
<p>CCK-8 assay indicated that the proliferation activity of Hep-3B cells infected with SNHG16 was improved (Figure
<xref ref-type="fig" rid="F2">2</xref>
A). In contrast, the proliferation activity of SK-hep-1 cells infected with sh-SNHG16-2 was lower than that of the sh-NC group (Figure
<xref ref-type="fig" rid="F2">2</xref>
B). Transwell migration assay and transwell invasion assay indicated that the migration and invasion of Hep-3B cells infected with SNHG16 significantly increased compared with the control group (Figure
<xref ref-type="fig" rid="F2">2</xref>
C and
<xref ref-type="fig" rid="F2">2</xref>
E), while the migration and invasion of Sk-hep-1 cells infected with sh-SNHG16-2 obviously decreased compared with the sh-NC group (Figure
<xref ref-type="fig" rid="F2">2</xref>
D and
<xref ref-type="fig" rid="F2">2</xref>
F). Taken together, these results demonstrated that SNHG16 promoted cell proliferation, migration and invasion
<italic>in vitro</italic>
.</p>
</sec>
<sec>
<title>SNHG16 promoted tumor proliferation
<italic>in vivo</italic>
</title>
<p>Nude mouse tumorigenesis test was carried out to confirm whether SNHG16 could enhance tumor growth
<italic>in vivo</italic>
. As demonstrated in Figure
<xref ref-type="fig" rid="F3">3</xref>
, compared with the NC group, the rate of tumor growth and tumor volumes of the SNHG16 group were significantly increased (Figure
<xref ref-type="fig" rid="F3">3</xref>
A and
<xref ref-type="fig" rid="F3">3</xref>
C). In contrast, compared with the sh-NC group, the rate of tumor growth and tumor volumes of the sh-SNHG16-2 group were significantly decreased (Figure
<xref ref-type="fig" rid="F3">3</xref>
B and
<xref ref-type="fig" rid="F3">3</xref>
D). Moreover, the tumor weight of xenograft tumor of the SNHG16 group was dramatically heavier than that of the NC group (Figure
<xref ref-type="fig" rid="F3">3</xref>
E). On contrary, the tumor weight of xenograft tumor of the sh-SNHG16-2 group was significantly lower than that of the sh-NC group (Figure
<xref ref-type="fig" rid="F3">3</xref>
F). Thus, these results indicated that SNHG16 could enhance tumor development
<italic>in vivo</italic>
.</p>
</sec>
<sec>
<title>SNHG16 interacted with miR-186 in HCC</title>
<p>LncRNAs interact with miRNAs and contribute to disease. Our previous data manifested that miR-186 was lowly expressed in HCC cells and tissues and played the role of a tumor suppressor
<xref rid="B14" ref-type="bibr">14</xref>
. Therefore, online software program RNA22-HSA (
<ext-link ext-link-type="uri" xlink:href="https://cm.jefferson.edu/rna22/Interactive/">https://cm.jefferson.edu/rna22/Interactive/</ext-link>
) and NPInter (
<ext-link ext-link-type="uri" xlink:href="http://www.bioinfo.org/NPInter">http://www.bioinfo.org/NPInter</ext-link>
) were performed to predict the potential lncRNAs that interact with miR-186. Date suggested that SNHG16 may interact with miR-186 in HCC.</p>
<p>In order to explore the relationship between SNHG16 and miR-186, the expression of miR-186 and SNHG16 in 28 pairs of HCC and corresponding normal tissues were measured by qRT-PCR. The level of miR-186 was negatively correlated with that of SNHG16 (Figure
<xref ref-type="fig" rid="F4">4</xref>
A) (r=-0.5691, p=0.0046). Moreover, the expression of miR-186 in five HCC cell lines (Hep-3B, Huh7, Sk-hep-1, SMMC-7721 and PLC) and normal liver cell line (HL-77O2) was detected by qRT-PCR. The results indicated that HCC cell lines had a lower miR-186 expression level compared with normal liver cell line(Figure
<xref ref-type="fig" rid="F4">4</xref>
B).</p>
<p>At the same time, qRT-PCR was carried out to determine the expression of miR-186 in Hep-3B cells infected with the SNHG16 or NC and in Sk-hep-1 cells infected with sh-SNHG16-2 or sh-NC. The results of qRT-PCR revealed that overexpression of SNHG16 inhibited miR-186 expression in Hep-3B cells (Figure
<xref ref-type="fig" rid="F4">4</xref>
C), whereas downregulation of SNHG16 induced miR-186 expression in Sk-hep-1 cells (Figure
<xref ref-type="fig" rid="F4">4</xref>
D). Simultaneously, the expression of SNHG16 was detected following transfection of miR-186 mimic or miR-186 mimic control into Hep3B cells, transfecting miR-186 inhibitor or miR-186 inhibitor control into Sk-hep-1cells. Interestingly, these data suggested that compared with the corresponding control group, miR-186 mimic significantly inhibited the expression of SNHG16 (Figure
<xref ref-type="fig" rid="F4">4</xref>
E), whereas miR-186 inhibitor significantly promoted SNHG16 expression (Figure
<xref ref-type="fig" rid="F4">4</xref>
F).</p>
<p>Dual luciferase reporter assay was performed to further explore the direct binding between SNHG16 and miR-186. We constructed luciferase reporter vectors containing the predicted wild-type or mutated miR-186 binding sites in SNHG16 (SNHG16-wt or SNHG16-mut) (Figure
<xref ref-type="fig" rid="F4">4</xref>
G). SNHG16-wt or SNHG16-mut was co-transfected with miR-186 mimic or miR-186 mimic control into cells. The results demonstrated that the luciferase activity of SNHG16-wt was significantly inhibited by miR-186 mimic, but miR-186 mimic control not affected SNHG16-wt luciferase activity (Figure
<xref ref-type="fig" rid="F4">4</xref>
H and
<xref ref-type="fig" rid="F4">4</xref>
I). Previous researches have shown that miR-186 inhibits the expression of ROCK1 in HCC
<xref rid="B14" ref-type="bibr">14</xref>
. The western blot and qRT-PCR results suggested that miR-186 mimic reversed the promotion effect of SNHG16 on ROCK1 (Figure
<xref ref-type="fig" rid="F4">4</xref>
J and 4L), and the inhibitory effect of sh-SNHG16-2 on ROCK1 was attenuated by miR-186 inhibitor (Figure
<xref ref-type="fig" rid="F4">4</xref>
K and 4M).</p>
<p>These results together indicated that the expression of SNHG16 and miR-186 was negatively correlated with each other; SNHG16 and miR-186 directly interacted with and repressed each other. SNHG16 functioned as a ceRNA of miR-186 in HCC.</p>
</sec>
<sec>
<title>SNHG16 affected cell proliferation, migration and invasion by regulating the expression of miR-186</title>
<p>To further investigate whether SNHG16 exerted its biological functions via negatively regulating miR-186 expression, we performed rescue experiments. NC, SNHG16 and SNHG16+miR-186 mimic were transfected into Hep-3B cells, respectively. sh-NC, sh-SNHG16-2 and sh-SNHG16-2+miR-186 inhibitor were transfected into Sk-hep-1 cells, respectively. As shown by CCK-8 assay, transwell migration assay and transwell invasion assay, ectopic expression of miR-186 reversed the promotion of SNHG16 on Hep3B cell proliferation, migration and invasion (Figure
<xref ref-type="fig" rid="F5">5</xref>
A, 5C and 5E). Meanwhile, the inhibitory effect of sh-SNHG16-2 on the proliferation, migration and invasion of Sk-hep-1 cells was abloished by miR-186 inhibitor (Figure
<xref ref-type="fig" rid="F5">5</xref>
B, 5D and 5F). These data together revealed that SNHG16 promoted cell proliferation, migration and invasion by negatively regulating miR-186 expression.</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Accumlating evidence has indicated that lncRNAs play an important role in the development of many diseases, including tumors. LncRNAs have many biological functions such as transcription, chromosome remodeling, translation and shearing
<xref rid="B24" ref-type="bibr">24</xref>
. LncRNA has gained considerable attention by functioning as a ceRNA
<xref rid="B25" ref-type="bibr">25</xref>
. Our previous data mainfested that miR-186 was lowly expressed in HCC cells and tissues and played the role of a tumor suppressor
<xref rid="B14" ref-type="bibr">14</xref>
. Therefore, online software program RNA22-HAS (
<ext-link ext-link-type="uri" xlink:href="https://cm.jefferson.edu/rna22/Interactive/">https://cm.jefferson.edu/rna22/Interactive/</ext-link>
) and NPInter (
<ext-link ext-link-type="uri" xlink:href="http://www.bioinfo.org/NPInter">http://www.bioinfo.org/NPInter</ext-link>
) were performed to predict the potential lncRNAs that interact with miR-186. Date suggested that SNHG16 might associate with miR-186 in HCC.</p>
<p>Previous studies have reported that SNHG16 expression is up-regulated in colorectal cancer and regulated by the Wnt signaling pathways, which may affect genes involved in lipid metabolism through ceRNA-related mechanisms
<xref rid="B19" ref-type="bibr">19</xref>
. SNHG16 is highly expressed in gastric cancer tissues. Inhibition of SNHG16 expression could inhibit the proliferation, migration and invasion of gastric cancer cells, and increase apoptosis
<xref rid="B20" ref-type="bibr">20</xref>
. Competitively binding miR-98 with E2F5, SNHG16 expression is up-regulated in breast cancer tissues and induces breast cancer cell migration
<xref rid="B17" ref-type="bibr">17</xref>
. In a recent study, SNHG16 was used as a competitive endogenous RNA to regulate PRMT5 expression through direct sponge miR-4518, which acts as an oncogenic lncRNA to promote glioma tumorigenesis
<xref rid="B23" ref-type="bibr">23</xref>
. However, there is little knowledge about the expression, function and molecular mechanism of SNHG16 in HCC.</p>
<p>Therefore, we conducted a series of experiments to investigate the expression, function and molecular mechanism of SNHG16 in HCC. In this study, SNHG16 was up-regulated in HCC tissues and cell lines. SNHG16 expression was correlated with tumor size, TNM stage, ALT expression level and HBV DNA level. Up-regulation of SNHG16 expression increased proliferation, migration and invasion of HCC cell. Down-regulation of SNHG16 expression reduced proliferation, migration and invasion of HCC cell. Furthermore,
<italic>in vivo</italic>
experiments confirmed that SNHG16 overexpression significantly promoted tumor growth in nude mice, and SNHG16 knockdown markedly inhibited tumor growth in nude mice. These results indicated that SNHG16 exerted its oncogenic role in HCC tumorigenesis and progression.</p>
<p>More and more evidences have indicated that miRNAs are involved in various physiological and pathological processes. MiRNAs could directly bind to the target mRNA to induce mRNA deregulation or translational repression
<xref rid="B26" ref-type="bibr">26</xref>
. Studies have found that miR-186 has a suppressive role in ESCC progression via SKP2-mediated pathway
<xref rid="B12" ref-type="bibr">12</xref>
. MiR-186 functions as tumor suppressor in NSCLC by targeting ROCK1
<xref rid="B27" ref-type="bibr">27</xref>
. It also affects the proliferation, invasion and migration of human gastric cancer by inhibition of Twist1
<xref rid="B28" ref-type="bibr">28</xref>
. MiR-186 expression is down-regulated in HCC and inhibits proliferation, migration, and invasion of HCC cell
<xref rid="B14" ref-type="bibr">14</xref>
. However, there is little knowledge about the role of the interaction of miR-186 with SNHG16 in the progression of HCC. Therefore, we confirmed the interaction of miR-186 and SNHG16 in HCC cell by qRT-PCR and dual luciferase assays. As revealed by our data, the expression of SNHG16 was negatively correlated with the expression of miR-186 (r= -0.5691, p=0.0046), SNHG16 and miR-186 directly interacted with and repressed each other. In addition, the results of qRT-PCR and western blotting demonstrated that SNHG16 might function as a ceRNA for miR-186 to regulate ROCK1 expression. ROCK1 is a target of miR-186 that plays important roles in regulating cell polarity and migration
<xref rid="B14" ref-type="bibr">14</xref>
,
<xref rid="B29" ref-type="bibr">29</xref>
. Subsequently, rescue experiments were performed and showed that miR-186 could reverse the effect of SNHG16 on HCC cell. Therefore, it might be explained that SNHG16 could act as a ceRNA via regulating miR-186 to facilitate proliferation, migration and invasion of HCC cell.</p>
<p>Our present study contributes to a better understanding of the pathogenesis of HCC and facilitates the development of diagnosis and therapy for HCC. However, the limitations of this study should not be ignored. Above all, we only detected the expression of SNHG16 in 50 pairs of HCC tissues and matched non-tumor tissues. Whether SNHG16 can be used as a biomarker for the diagnosis of HCC requires more clinical sample data, also the expression levels of SNHG16 in the patient's blood should be evaluated. Next, our work was not perfect for the study of the regulatory relationship between SNHG16, miR-186 and ROCK1, so the exact mechanism of SNHG16-miR-186-ROCK1 axis in HCC requires further study. Lastly, SNHG16 may target multiple miRNAs for biological function in CRC
<xref rid="B19" ref-type="bibr">19</xref>
. Whether SNHG16 can exert its function by acting as a ceRNA to regulate multiple miRNAs in HCC also requires further study.</p>
<p>In summary, our study is the first to show that SNHG16 was highly expressed in HCC tissues and cells and that promoted HCC cell proliferation, migration and invasion by functioning as a ceRNA to regulate miR-186. Our findings indicated that SNHG16 may be a potential biomarker for clinical diagnosis of HCC and a new therapeutic target for the treatment of HCC.</p>
</sec>
</body>
<back>
<ack>
<p>We are grateful to Dr. Tinghe Yu (Director of Key Medical labortory of Obstetrics and Gynecology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China) for the generous support of the experimental facilities.</p>
<sec>
<title>Ethics Committee Approval and Patient Consent</title>
<p>Investigations involving humans will have been performed in accordance with the principles of Declaration of Helsinki. And the use of animals in experiments will have observed the Interdisciplinary Principles and Guidelines for the Use of Animals in Research, Testing, and Education by the New York Academy of Sciences, Ad Hoc Animal Research Committee.</p>
</sec>
</ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="GL1">AFP</term>
<def>
<p>alphafetoprotein</p>
</def>
</def-item>
<def-item>
<term id="GL2">ALT</term>
<def>
<p>alanine aminotransferase</p>
</def>
</def-item>
<def-item>
<term id="GL3">AST</term>
<def>
<p>aspartate aminotransferase</p>
</def>
</def-item>
<def-item>
<term id="GL4">CCK-8</term>
<def>
<p>Cell Counting Kit-8 assay</p>
</def>
</def-item>
<def-item>
<term id="GL5">ceRNA</term>
<def>
<p>competitive endogenous RNA</p>
</def>
</def-item>
<def-item>
<term id="GL6">DMEM</term>
<def>
<p>Dulbecco's modified Eagle's medium</p>
</def>
</def-item>
<def-item>
<term id="GL7">HBsAg</term>
<def>
<p>Australia antigen</p>
</def>
</def-item>
<def-item>
<term id="GL8">HBV</term>
<def>
<p>hepatitis B virus</p>
</def>
</def-item>
<def-item>
<term id="GL9">HCC</term>
<def>
<p>hepatocellular carcinoma</p>
</def>
</def-item>
<def-item>
<term id="GL10">LncRNA</term>
<def>
<p>long non-coding RNA</p>
</def>
</def-item>
<def-item>
<term id="GL11">miR-186</term>
<def>
<p>microRNA-186</p>
</def>
</def-item>
<def-item>
<term id="GL12">PBS</term>
<def>
<p>phosphate-buffered saline</p>
</def>
</def-item>
<def-item>
<term id="GL13">PMSF</term>
<def>
<p>Phenylmethanesulfonyl fluoride</p>
</def>
</def-item>
<def-item>
<term id="GL14">PVDF</term>
<def>
<p>polyvinylidene difluoride</p>
</def>
</def-item>
<def-item>
<term id="GL15">qRT-PCR</term>
<def>
<p>Relative quantitative real-time PCR</p>
</def>
</def-item>
<def-item>
<term id="GL16">RIPA</term>
<def>
<p>Radio Immunoprecipitation Assay</p>
</def>
</def-item>
<def-item>
<term id="GL17">ROCK1</term>
<def>
<p>Rho associated coiled-coil containing protein kinase 1</p>
</def>
</def-item>
<def-item>
<term id="GL18">SNHG16</term>
<def>
<p>small nucleolar RNA host gene 16</p>
</def>
</def-item>
<def-item>
<term id="GL19">TNM</term>
<def>
<p>tumor, node, metastasis</p>
</def>
</def-item>
</def-list>
</glossary>
<ref-list>
<ref id="B1">
<label>1</label>
<element-citation publication-type="journal">
<name>
<surname>Ferlay</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Soerjomataram</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Dikshit</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Eser</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Mathers</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Rebelo</surname>
<given-names>M</given-names>
</name>
<etal></etal>
<article-title>Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012</article-title>
<source>Int J Cancer</source>
<year>2015</year>
<volume>136</volume>
<fpage>E359</fpage>
<lpage>386</lpage>
<pub-id pub-id-type="pmid">25220842</pub-id>
</element-citation>
</ref>
<ref id="B2">
<label>2</label>
<element-citation publication-type="journal">
<name>
<surname>Forner</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Llovet</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Bruix</surname>
<given-names>J</given-names>
</name>
<article-title>Hepatocellular carcinoma</article-title>
<source>Lancet</source>
<year>2012</year>
<volume>379</volume>
<fpage>1245</fpage>
<lpage>1255</lpage>
<pub-id pub-id-type="pmid">22353262</pub-id>
</element-citation>
</ref>
<ref id="B3">
<label>3</label>
<element-citation publication-type="journal">
<name>
<surname>Ghouri</surname>
<given-names>YA</given-names>
</name>
<name>
<surname>Mian</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Rowe</surname>
<given-names>JH</given-names>
</name>
<article-title>Review of hepatocellular carcinoma: Epidemiology, etiology, and carcinogenesis</article-title>
<source>J Carcinog</source>
<year>2017</year>
<volume>6</volume>
<fpage>1</fpage>
</element-citation>
</ref>
<ref id="B4">
<label>4</label>
<element-citation publication-type="journal">
<name>
<surname>Cho</surname>
<given-names>WC</given-names>
</name>
<article-title>MicroRNAs: potential biomarkers for cancer diagnosis, prognosis and targets for therapy</article-title>
<source>Int J Biochem Cell Biol</source>
<year>2010</year>
<volume>42</volume>
<fpage>1273</fpage>
<lpage>1281</lpage>
<pub-id pub-id-type="pmid">20026422</pub-id>
</element-citation>
</ref>
<ref id="B5">
<label>5</label>
<element-citation publication-type="journal">
<name>
<surname>Khoury</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Tran</surname>
<given-names>N</given-names>
</name>
<article-title>Circulating microRNAs: potential biomarkers for common malignancies</article-title>
<source>Biomarkers Med</source>
<year>2015</year>
<volume>9</volume>
<fpage>131</fpage>
<lpage>151</lpage>
</element-citation>
</ref>
<ref id="B6">
<label>6</label>
<element-citation publication-type="journal">
<name>
<surname>Braconi</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Kogure</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Valeri</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Nuovo</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Costinean</surname>
<given-names>S</given-names>
</name>
<etal></etal>
<article-title>microRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancer</article-title>
<source>Oncogene</source>
<year>2011</year>
<volume>30</volume>
<fpage>4750</fpage>
<lpage>6</lpage>
<pub-id pub-id-type="pmid">21625215</pub-id>
</element-citation>
</ref>
<ref id="B7">
<label>7</label>
<element-citation publication-type="journal">
<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>
<etal></etal>
<article-title>Coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs</article-title>
<source>Cell</source>
<year>2011</year>
<volume>147</volume>
<fpage>344</fpage>
<lpage>357</lpage>
<pub-id pub-id-type="pmid">22000013</pub-id>
</element-citation>
</ref>
<ref id="B8">
<label>8</label>
<element-citation publication-type="journal">
<name>
<surname>Leucci</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Patella</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Waage</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Holmstrøm</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Lindow</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Porse</surname>
<given-names>B</given-names>
</name>
<etal></etal>
<article-title>microRNA-9 targets the long non-coding RNA MALAT1 for degradation in the nucleus</article-title>
<source>Sci Rep</source>
<year>2013</year>
<volume>3</volume>
<fpage>2535</fpage>
<pub-id pub-id-type="pmid">23985560</pub-id>
</element-citation>
</ref>
<ref id="B9">
<label>9</label>
<element-citation publication-type="book">
<name>
<surname>Wang</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Qiu</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Cui</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Yin</surname>
<given-names>Y</given-names>
</name>
<source>Human microRNA oncogenes and tumor suppressors show significantly different biological patterns: from functions to targets</source>
<publisher-name>PLoS One</publisher-name>
<year>2010</year>
<fpage>5</fpage>
<comment>(9)</comment>
</element-citation>
</ref>
<ref id="B10">
<label>10</label>
<element-citation publication-type="journal">
<name>
<surname>Sun</surname>
<given-names>KX</given-names>
</name>
<name>
<surname>Jiao</surname>
<given-names>JW</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>BL</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>Y</given-names>
</name>
<article-title>MicroRNA-186 induces sensitivity of ovarian cancer cells to paclitaxel and cisplatin by targeting ABCB1</article-title>
<source>J Ovarian Res</source>
<year>2015</year>
<volume>8</volume>
<fpage>80</fpage>
<pub-id pub-id-type="pmid">26626440</pub-id>
</element-citation>
</ref>
<ref id="B11">
<label>11</label>
<element-citation publication-type="journal">
<name>
<surname>Cai</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Fang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>Y</given-names>
</name>
<etal></etal>
<article-title>miR-186 downregulation correlates with poor survival in lung adenocarcinoma where it interferes with cell cycle regulation</article-title>
<source>Cancer es</source>
<year>2013</year>
<volume>73</volume>
<fpage>756</fpage>
<lpage>66</lpage>
</element-citation>
</ref>
<ref id="B12">
<label>12</label>
<element-citation publication-type="journal">
<name>
<surname>He</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>G</given-names>
</name>
<article-title>microRNA-186 inhibits cell proliferation and induces apoptosis in human esophageal squamous cell carcinoma by targeting SKP2</article-title>
<source>Lab Invest</source>
<year>2016</year>
<volume>96</volume>
<fpage>317</fpage>
<lpage>24</lpage>
<pub-id pub-id-type="pmid">26568291</pub-id>
</element-citation>
</ref>
<ref id="B13">
<label>13</label>
<element-citation publication-type="journal">
<name>
<surname>Hua</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Xiao</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Pan</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>Z</given-names>
</name>
<etal></etal>
<article-title>miR-186 inhibits cell proliferation of prostate cancer by targeting GOLPH</article-title>
<source>Am J Cancer Res</source>
<year>2016</year>
<volume>6</volume>
<fpage>1650</fpage>
<lpage>60</lpage>
<pub-id pub-id-type="pmid">27648356</pub-id>
</element-citation>
</ref>
<ref id="B14">
<label>14</label>
<element-citation publication-type="journal">
<name>
<surname>Dan</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Ziyao</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Ping</surname>
<given-names>H</given-names>
</name>
<article-title>Expression and Role of MicroRNA-186 in Human Hepatocellular Carcinoma</article-title>
<source>Tumor</source>
<year>2017</year>
<volume>07</volume>
<fpage>750</fpage>
<lpage>761</lpage>
</element-citation>
</ref>
<ref id="B15">
<label>15</label>
<element-citation publication-type="journal">
<name>
<surname>Klingenberg</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Matsuda</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Diederichs</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Patel</surname>
<given-names>T</given-names>
</name>
<article-title>Non-coding RNA in hepatocellular carcinoma:Mechanisms, biomarkers and therapeutic targets</article-title>
<source>Journal of Hepatology</source>
<year>2017</year>
<volume>67</volume>
<fpage>603</fpage>
<lpage>618</lpage>
<pub-id pub-id-type="pmid">28438689</pub-id>
</element-citation>
</ref>
<ref id="B16">
<label>16</label>
<element-citation publication-type="journal">
<name>
<surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>He</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>J</given-names>
</name>
<etal></etal>
<article-title>The Long Noncoding RNA lncTCF7 Promotes Self-Renewal of Human Liver Cancer Stem Cells through Activation of Wnt signaling</article-title>
<source>Cell Stem Cell</source>
<year>2015</year>
<volume>16</volume>
<fpage>413</fpage>
<lpage>25</lpage>
<pub-id pub-id-type="pmid">25842979</pub-id>
</element-citation>
</ref>
<ref id="B17">
<label>17</label>
<element-citation publication-type="journal">
<name>
<surname>Cai</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Huo</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>Q</given-names>
</name>
<article-title>SNHG16 contributes to breast cancer cell migration by competitively binding miR-98 with E2F5</article-title>
<source>Biochem Biophys Res Commun</source>
<year>2017</year>
<volume>485</volume>
<fpage>272</fpage>
<lpage>278</lpage>
<pub-id pub-id-type="pmid">28232182</pub-id>
</element-citation>
</ref>
<ref id="B18">
<label>18</label>
<element-citation publication-type="journal">
<name>
<surname>Ma</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Yuan</surname>
<given-names>H</given-names>
</name>
<article-title>Knockdown of LncRNA ANRIL suppresses cell proliferation, metastasis, and invasion via regulating miR-122-5p expression in hepatocellular carcinoma</article-title>
<source>J Cancer Res Clin Oncol</source>
<year>2018</year>
<volume>144</volume>
<fpage>205</fpage>
<lpage>214</lpage>
<pub-id pub-id-type="pmid">29127494</pub-id>
</element-citation>
</ref>
<ref id="B19">
<label>19</label>
<element-citation publication-type="journal">
<name>
<surname>Christensen</surname>
<given-names>LL</given-names>
</name>
<name>
<surname>True</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Hamilton</surname>
<given-names>MP</given-names>
</name>
<name>
<surname>Nielsen</surname>
<given-names>MM</given-names>
</name>
<name>
<surname>Damas</surname>
<given-names>ND</given-names>
</name>
<name>
<surname>Damgaard</surname>
<given-names>CK</given-names>
</name>
<etal></etal>
<article-title>SNHG16 is regulated by the Wnt pathway in colorectal cancer and affects genes involved in lipid metabolism</article-title>
<source>Mol Oncol</source>
<year>2016</year>
<volume>10</volume>
<fpage>1266</fpage>
<lpage>82</lpage>
<pub-id pub-id-type="pmid">27396952</pub-id>
</element-citation>
</ref>
<ref id="B20">
<label>20</label>
<element-citation publication-type="journal">
<name>
<surname>Lian</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Amin</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>W</given-names>
</name>
<article-title>Enhanced expression of the long non-coding RNA SNHG16 contributes to gastric cancer progression and metastasis</article-title>
<source>Cancer Biomark</source>
<year>2017</year>
<volume>21</volume>
<fpage>151</fpage>
<lpage>160</lpage>
<pub-id pub-id-type="pmid">29081409</pub-id>
</element-citation>
</ref>
<ref id="B21">
<label>21</label>
<element-citation publication-type="journal">
<name>
<surname>Yuan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Yue</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>W</given-names>
</name>
<etal></etal>
<article-title>Transcriptional profiling analysis and functional prediction of long noncoding RNAs in cancer</article-title>
<source>Oncotarget</source>
<year>2016</year>
<volume>7</volume>
<fpage>8131</fpage>
<lpage>8142</lpage>
<pub-id pub-id-type="pmid">26812883</pub-id>
</element-citation>
</ref>
<ref id="B22">
<label>22</label>
<element-citation publication-type="journal">
<name>
<surname>Guo</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Kang</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y</given-names>
</name>
<etal></etal>
<article-title>A long noncoding RNA critically regulates Bcr-Abl-mediated cellular transformation by acting as a competitive endogenous RNA</article-title>
<source>Oncogene</source>
<year>2015</year>
<volume>34</volume>
<fpage>1768</fpage>
<lpage>1779</lpage>
<pub-id pub-id-type="pmid">24837367</pub-id>
</element-citation>
</ref>
<ref id="B23">
<label>23</label>
<element-citation publication-type="journal">
<name>
<surname>Lu</surname>
<given-names>YF</given-names>
</name>
<name>
<surname>Cai</surname>
<given-names>XL</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>ZZ</given-names>
</name>
<name>
<surname>Lv</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Xiang</surname>
<given-names>YA</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>JJ</given-names>
</name>
<etal></etal>
<article-title>LncRNA SNHG16 Functions as an Oncogene by Sponging MiR-4518 and Up- Regulating PRMT5 Expression in Glioma</article-title>
<source>Cell Physiol Biochem</source>
<year>2018</year>
<volume>45</volume>
<fpage>1975</fpage>
<lpage>1985</lpage>
<pub-id pub-id-type="pmid">29529599</pub-id>
</element-citation>
</ref>
<ref id="B24">
<label>24</label>
<element-citation publication-type="journal">
<name>
<surname>Wang</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Cao</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Xia</surname>
<given-names>W</given-names>
</name>
<article-title>Identification and characterization of long non-coding RNAs in response to early infection by Melampsora larici - populina using genome - wide high - throughput RNA sequencing</article-title>
<source>Tree Genetics & Genomes</source>
<year>2017</year>
<volume>13</volume>
<fpage>34</fpage>
</element-citation>
</ref>
<ref id="B25">
<label>25</label>
<element-citation publication-type="journal">
<name>
<surname>Thomson</surname>
<given-names>DW</given-names>
</name>
<name>
<surname>Dinger</surname>
<given-names>ME</given-names>
</name>
<article-title>Endogenous microRNA sponges: evidence and controversy</article-title>
<source>Nat Rev Genet</source>
<year>2016</year>
<volume>17</volume>
<fpage>272</fpage>
<lpage>83</lpage>
<pub-id pub-id-type="pmid">27040487</pub-id>
</element-citation>
</ref>
<ref id="B26">
<label>26</label>
<element-citation publication-type="journal">
<name>
<surname>Krol</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Loedige</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Filipowicz</surname>
<given-names>W</given-names>
</name>
<article-title>The widespread regulation of microRNA biogenesis, function and decay</article-title>
<source>Nat Rev Genet</source>
<year>2010</year>
<volume>11</volume>
<fpage>597</fpage>
<lpage>610</lpage>
<pub-id pub-id-type="pmid">20661255</pub-id>
</element-citation>
</ref>
<ref id="B27">
<label>27</label>
<element-citation publication-type="journal">
<name>
<surname>Cui</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Cui</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>H</given-names>
</name>
<etal></etal>
<article-title>MiR-186 targets ROCK1 to suppress the growth and metastasis of NSCLC cells</article-title>
<source>Tumour Biol</source>
<year>2014</year>
<volume>35</volume>
<fpage>8933</fpage>
<lpage>7</lpage>
<pub-id pub-id-type="pmid">24894676</pub-id>
</element-citation>
</ref>
<ref id="B28">
<label>28</label>
<element-citation publication-type="journal">
<name>
<surname>Cao</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>L</given-names>
</name>
<article-title>miR-186 affects the proliferation, invasion and migration of human gastric cancer by inhibition of Twist1</article-title>
<source>Oncotarget</source>
<year>2016</year>
<volume>7</volume>
<fpage>79956</fpage>
<lpage>79963</lpage>
<pub-id pub-id-type="pmid">27835599</pub-id>
</element-citation>
</ref>
<ref id="B29">
<label>29</label>
<element-citation publication-type="journal">
<name>
<surname>Morgan-Fisher</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wewer</surname>
<given-names>UM</given-names>
</name>
<name>
<surname>Yoneda</surname>
<given-names>A</given-names>
</name>
<article-title>Regulation of ROCK activity in cancer</article-title>
<source>J Histochem Cytochem</source>
<year>2013</year>
<volume>61</volume>
<fpage>185</fpage>
<lpage>98</lpage>
<pub-id pub-id-type="pmid">23204112</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
<floats-group>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>
<bold> Expression of SNHG16 in HCC tissues and cell lines.</bold>
(A). Expression levels of SNHG16 in 50 pairs of HCC tissues and paired adjacent normal liver tissues were evaluated by qRT-PCR. (B). The relative expression of SNHG16 in five HCC cell lines (Hep-3B, Huh7, Sk-hep-1, SMMC-7721 and PLC) and immortal liver cell line (HL-77O2) were determined by qRT-PCR. (C). The expression of SNHG16 in Hep-3B cells infected with NC or SNHG16. (D). qRT-PCR was conducted to confirm the knockdown efficiency of sh-SNHG16-1, sh-SNHG16-2 and sh-SNHG16-3 on SNHG16. *p<0.05, **p<0.01 and ***p<0.001.</p>
</caption>
<graphic xlink:href="jcav10p3571g001"></graphic>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>
<bold> SNHG16 infulenced HCC cell proliferation, migration and invasion
<italic>in vitro</italic>
.</bold>
(A). CCK-8 was performed to determine cell proliferation when SNHG16 over-expressed in Hep-3B cells. (B). CCK-8 was performed to determine cell proliferation when SNHG16 knockdown in Sk-hep-1 cells. (C and E). Cell migration and invasion were confirmed by using transwell migration assay and transwell invasion assay after infected with SNHG16 or NC into Hep-3B cells. (D and F). Transwell migration assay and transwell invasion assay were carried out to verify cell migration and invasion when down-expression of SNHG16 in Sk-hep-1 cells. *p<0.05, **p<0.01 and ***p<0.001.</p>
</caption>
<graphic xlink:href="jcav10p3571g002"></graphic>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption>
<p>
<bold> SNHG16 infulenced HCC cell proliferation
<italic>in vivo</italic>
.</bold>
Hep-3B cells (5×106cells) infected with SNHG16 or NC and Sk-hep-1 cells (5×106cells) infected with sh-SNHG16-2 or sh-NC were subcutaneously injected into the hip back of the nude mice (n = 4 per group). (A and B). The rate of tumor growth was calculated every 4 days for 28 days. (C-F). The size of tumor and tumor weight were recored and weighted on the 28th day. *p<0.05, **p<0.01 and ***p<0.001.</p>
</caption>
<graphic xlink:href="jcav10p3571g003"></graphic>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption>
<p>
<bold> The relationship between SNHG16 and miR-186 in HCC.</bold>
(A).The negative correlation between SNHG16 and miR-186 expression in HCC tissues. (B). The relative expression of miR-186 in five HCC cell lines (Hep-3B, Huh7, Sk-hep-1, SMMC-7721 and PLC) and normal liver cell line (HL-77O2) were verified by qRT-PCR. (C). The relative expression of miR-186 in Hep-3B cells injected with NC or SNHG16 was detected by qRT-PCR. (D). The relative expression of miR-186 in Sk-hep-1 cells injected with sh-NC or sh-SNHG16-2 was detected by qRT-PCR. (E). qRT-PCR disclosed that ectopic expression of miR-186 decreased SNHG16 expression in Hep-3B cells. (F). qRT-PCR disclosed that knockdown of miR-186 increased SNHG16 expression in Sk-hep-1 cells. (G). Schematic of forecasted wild type or mutated miR-186 binding sequences in SNHG16. (H and I). Luciferase activity in HCC cell co-transfected with SNHG16-wt or SNHG16-mut and miR-186 mimic or miR-186 mimic control. (J-M). Effect of SNHG16 and miR-186 interactions on ROCK1 expression was quantified by Western blot and qRT-PCR. *p<0.05, **p<0.01 and ***p<0.001</p>
</caption>
<graphic xlink:href="jcav10p3571g004"></graphic>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption>
<p>
<bold> The effect of SNHG16 on proliferation, migration and invasion of HCC cell by regulating the expression of miR-186.</bold>
Hep-3B cells of SNHG16 over-expression were infected with miR-186 mimic, and Sk-hep-1 cells of SNHG16 knockdown were infected with miR-186 inhibitor. (A and B) CCK-8, (C and D) transwell migration assay and (E and F) transwell invasion assay were conducted to assess cell proliferation, migration and invasion, respectively. *p<0.05, **p<0.01 and ***p<0.001.</p>
</caption>
<graphic xlink:href="jcav10p3571g005"></graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Association between SNHG16 expression and clinicopathological characteristics in HCC (n=50)</p>
</caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th rowspan="2" colspan="2">clinicopathological factors</th>
<th rowspan="2" colspan="1">Number (n=50)</th>
<th colspan="2" rowspan="1">SNHG16 expression</th>
<th rowspan="1" colspan="1">p</th>
</tr>
<tr>
<th rowspan="1" colspan="1">High</th>
<th rowspan="1" colspan="1">Low</th>
<th rowspan="1" colspan="1"></th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" colspan="1">Gender</td>
<td rowspan="1" colspan="1">Male</td>
<td rowspan="1" colspan="1">41</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">21</td>
<td rowspan="2" colspan="1">0.636</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Female</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">6</td>
</tr>
<tr>
<td rowspan="2" colspan="1">Age</td>
<td rowspan="1" colspan="1">≥50</td>
<td rowspan="1" colspan="1">27</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">17</td>
<td rowspan="2" colspan="1">0.168</td>
</tr>
<tr>
<td rowspan="1" colspan="1"><50</td>
<td rowspan="1" colspan="1">23</td>
<td rowspan="1" colspan="1">13</td>
<td rowspan="1" colspan="1">10</td>
</tr>
<tr>
<td rowspan="2" colspan="1">Tumor size (cm)</td>
<td rowspan="1" colspan="1">≥5</td>
<td rowspan="1" colspan="1">32</td>
<td rowspan="1" colspan="1">19</td>
<td rowspan="1" colspan="1">13</td>
<td rowspan="2" colspan="1">0.011</td>
</tr>
<tr>
<td rowspan="1" colspan="1"><5</td>
<td rowspan="1" colspan="1">18</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td rowspan="2" colspan="1">TNM stage</td>
<td rowspan="1" colspan="1">III-IV</td>
<td rowspan="1" colspan="1">30</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="2" colspan="1">0.001</td>
</tr>
<tr>
<td rowspan="1" colspan="1">I-II</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">17</td>
</tr>
<tr>
<td rowspan="2" colspan="1">HBsAg</td>
<td rowspan="1" colspan="1">+</td>
<td rowspan="1" colspan="1">41</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">21</td>
<td rowspan="2" colspan="1">0.636</td>
</tr>
<tr>
<td rowspan="1" colspan="1">-</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">6</td>
</tr>
<tr>
<td rowspan="2" colspan="1">HBV DNA</td>
<td rowspan="1" colspan="1">+</td>
<td rowspan="1" colspan="1">31</td>
<td rowspan="1" colspan="1">19</td>
<td rowspan="1" colspan="1">12</td>
<td rowspan="2" colspan="1">0.006</td>
</tr>
<tr>
<td rowspan="1" colspan="1">-</td>
<td rowspan="1" colspan="1">19</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">15</td>
</tr>
<tr>
<td rowspan="2" colspan="1">ALT(U/L)</td>
<td rowspan="1" colspan="1">≥40</td>
<td rowspan="1" colspan="1">25</td>
<td rowspan="1" colspan="1">16</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="2" colspan="1">0.011</td>
</tr>
<tr>
<td rowspan="1" colspan="1"><40</td>
<td rowspan="1" colspan="1">25</td>
<td rowspan="1" colspan="1">7</td>
<td rowspan="1" colspan="1">18</td>
</tr>
<tr>
<td rowspan="2" colspan="1">AST(U/L)</td>
<td rowspan="1" colspan="1">≥40</td>
<td rowspan="1" colspan="1">30</td>
<td rowspan="1" colspan="1">17</td>
<td rowspan="1" colspan="1">13</td>
<td rowspan="2" colspan="1">0.064</td>
</tr>
<tr>
<td rowspan="1" colspan="1"><40</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">6</td>
<td rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td rowspan="2" colspan="1">AFP(ug/L)</td>
<td rowspan="1" colspan="1">≥400</td>
<td rowspan="1" colspan="1">21</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">12</td>
<td rowspan="2" colspan="1">0.704</td>
</tr>
<tr>
<td rowspan="1" colspan="1"><400</td>
<td rowspan="1" colspan="1">29</td>
<td rowspan="1" colspan="1">14</td>
<td rowspan="1" colspan="1">15</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TNM, tumor, node, metastasis; HBsAg, Australia antigen; HBV, hepatitis B virus;</p>
<p>ALT, alanine aminotransferase; AST, aspartate aminotransferase; AFP, alphafetoprotein.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Bois/explor/MelampsoraV2/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000919  | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000919  | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Bois
   |area=    MelampsoraV2
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     
   |texte=   
}}

Wicri

This area was generated with Dilib version V0.6.38.
Data generation: Tue Nov 24 19:18:52 2020. Site generation: Tue Nov 24 19:22:33 2020