Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low-Grade Glioma
Background. LUZP2 is a protein limitedly expressed in the brain and spinal cord, while there are few studies on it in brain tumors. Low-grade glioma (LGG) is one of the most common brain tumors. However, the biological behavior of LGG is not very clear at present. This study was aimed at exploring t...
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| description | Background. LUZP2 is a protein limitedly expressed in the brain and spinal cord, while there are few studies on it in brain tumors. Low-grade glioma (LGG) is one of the most common brain tumors. However, the biological behavior of LGG is not very clear at present. This study was aimed at exploring the role of LUZP2 in LGG. Methods. By data mining in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA), the expression, clinical characteristics, and potential regulatory mechanism of LUZP2 in LGG were assessed. The regulatory miRNAs of LUZP2 were predicted using miRDB, TargetScan, and miRTarBase. Meanwhile, the potential biological function of coexpressed genes was investigated by GO and KEGG analyses. Results. LUZP2 expression was downregulated with the increase of tumor grade (p |
| doi_str_mv | 10.1155/2020/9716720 |
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| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7368956</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A639880139</galeid><sourcerecordid>A639880139</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-2f72cb38db9690764587810a69d79683bd15ef6cdf3edb6b04ccfc5401a202173</originalsourceid><addsrcrecordid>eNqN0UtvEzEUBlALUdGq7Y41GokNEgz1-7FBqgKESkFkQTdsLI8fiavJuNgzRPx7HBICZVVvbNlHn-_VBeA5gm8RYuwKQwyvlEBcYPgEnGGCaMsRRU-PZ0JOwWUpd7AuiThU_Bk4JZgrJjE_A5_fp-2Q_WrqzRjT0KTQLG6_LXFzU5pZytnXe--abRzXzTKl3CxzWg2pxPKbpm07z8b5Zt7HtDEX4CSYvvjLw34Obj9--Dr71C6-zG9m14vWUqXGFgeBbUek6xRXUHDKpJAIGq6cUFySziHmA7cuEO863kFqbbCMQmRqw0iQc_Bun3s_dRvvrB_GbHp9n-PG5J86magfvgxxrVfphxaES8V4DXh1CMjp--TLqDexWN_3ZvBpKhpTzJGgjNBKX_5H79KUh9reTtFaOa8lH9XK9F7HIaT6r92F6mtOlJQQEVXVm72yOZWSfTiWjKDeDVTvBqoPA638xb9tHvGf8VXweg_WcXBmGx8Z56vxwfzViEjMKPkFgIqvMQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2424878668</pqid></control><display><type>article</type><title>Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low-Grade Glioma</title><source>MEDLINE</source><source>PubMed Central Open Access</source><source>Wiley-Blackwell Open Access Titles</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Chen, Qianxue ; Liu, Baohui ; Geng, Rongxin ; Jiang, Hongxiang ; Zhang, Huikai ; Qi, Yangzhi ; Deng, Gang ; Li, Yong ; Ye, Zhang</creator><contributor>Racz, Bence ; Bence Racz</contributor><creatorcontrib>Chen, Qianxue ; Liu, Baohui ; Geng, Rongxin ; Jiang, Hongxiang ; Zhang, Huikai ; Qi, Yangzhi ; Deng, Gang ; Li, Yong ; Ye, Zhang ; Racz, Bence ; Bence Racz</creatorcontrib><description>Background. LUZP2 is a protein limitedly expressed in the brain and spinal cord, while there are few studies on it in brain tumors. Low-grade glioma (LGG) is one of the most common brain tumors. However, the biological behavior of LGG is not very clear at present. This study was aimed at exploring the role of LUZP2 in LGG. Methods. By data mining in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA), the expression, clinical characteristics, and potential regulatory mechanism of LUZP2 in LGG were assessed. The regulatory miRNAs of LUZP2 were predicted using miRDB, TargetScan, and miRTarBase. Meanwhile, the potential biological function of coexpressed genes was investigated by GO and KEGG analyses. Results. LUZP2 expression was downregulated with the increase of tumor grade (p<0.05). Low LUZP2 expression independently predicted poor OS in LGG in TCGA cohort and the CGGA part B and part C cohorts (all p<0.001). Additionally, LUZP2 was targeted by miR-142-5p according to 2 prediction databases and 1 validated database, which was negatively related to LUZP2 mRNA expression (p<0.001). Kaplan-Meier analyses demonstrated that low miR-142-5p expression was significantly associated with poor OS (p<0.001). Furthermore, coexpression genes of LUZP2 were significantly involved in nervous system development and metabolic pathways.Conclusions. LUZP2 may be crucial for nervous system extracellular matrix development and serve as an important clinical biomarker for LGG patients. miR-142-5p upregulation could be the upstream regulator that contributed to LUZP2 downregulation.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2020/9716720</identifier><identifier>PMID: 32695826</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Age ; Biomarkers ; Brain ; Brain cancer ; Brain Neoplasms - genetics ; Brain Neoplasms - pathology ; Brain tumors ; Data bases ; Data mining ; Datasets ; DNA-Binding Proteins - genetics ; DNA-Binding Proteins - metabolism ; Down-Regulation - genetics ; Extracellular matrix ; Gender ; Gene expression ; Gene Expression Regulation, Neoplastic ; Gene Ontology ; Gene Regulatory Networks ; Genes ; Genomes ; Glioma ; Glioma - genetics ; Glioma - pathology ; Gliomas ; Histology ; Humans ; Intellectual disabilities ; Kaplan-Meier Estimate ; Medical prognosis ; Metabolic pathways ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Multivariate analysis ; Neoplasm Grading ; Nervous system ; Patients ; Prognosis ; Proportional Hazards Models ; Prostate cancer ; Radiation therapy ; Regulatory mechanisms (biology) ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Spinal cord ; Survival Analysis ; Transcription factors ; Transcription Factors - metabolism ; Tumors ; Up-Regulation - genetics</subject><ispartof>BioMed research international, 2020, Vol.2020 (2020), p.1-16</ispartof><rights>Copyright © 2020 Yong Li et al.</rights><rights>COPYRIGHT 2020 John Wiley & Sons, Inc.</rights><rights>Copyright © 2020 Yong Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2020 Yong Li et al. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-2f72cb38db9690764587810a69d79683bd15ef6cdf3edb6b04ccfc5401a202173</citedby><cites>FETCH-LOGICAL-c499t-2f72cb38db9690764587810a69d79683bd15ef6cdf3edb6b04ccfc5401a202173</cites><orcidid>0000-0001-5821-6945 ; 0000-0002-9413-1030</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368956/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368956/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4022,27922,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32695826$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Racz, Bence</contributor><contributor>Bence Racz</contributor><creatorcontrib>Chen, Qianxue</creatorcontrib><creatorcontrib>Liu, Baohui</creatorcontrib><creatorcontrib>Geng, Rongxin</creatorcontrib><creatorcontrib>Jiang, Hongxiang</creatorcontrib><creatorcontrib>Zhang, Huikai</creatorcontrib><creatorcontrib>Qi, Yangzhi</creatorcontrib><creatorcontrib>Deng, Gang</creatorcontrib><creatorcontrib>Li, Yong</creatorcontrib><creatorcontrib>Ye, Zhang</creatorcontrib><title>Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low-Grade Glioma</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Background. LUZP2 is a protein limitedly expressed in the brain and spinal cord, while there are few studies on it in brain tumors. Low-grade glioma (LGG) is one of the most common brain tumors. However, the biological behavior of LGG is not very clear at present. This study was aimed at exploring the role of LUZP2 in LGG. Methods. By data mining in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA), the expression, clinical characteristics, and potential regulatory mechanism of LUZP2 in LGG were assessed. The regulatory miRNAs of LUZP2 were predicted using miRDB, TargetScan, and miRTarBase. Meanwhile, the potential biological function of coexpressed genes was investigated by GO and KEGG analyses. Results. LUZP2 expression was downregulated with the increase of tumor grade (p<0.05). Low LUZP2 expression independently predicted poor OS in LGG in TCGA cohort and the CGGA part B and part C cohorts (all p<0.001). Additionally, LUZP2 was targeted by miR-142-5p according to 2 prediction databases and 1 validated database, which was negatively related to LUZP2 mRNA expression (p<0.001). Kaplan-Meier analyses demonstrated that low miR-142-5p expression was significantly associated with poor OS (p<0.001). Furthermore, coexpression genes of LUZP2 were significantly involved in nervous system development and metabolic pathways.Conclusions. LUZP2 may be crucial for nervous system extracellular matrix development and serve as an important clinical biomarker for LGG patients. miR-142-5p upregulation could be the upstream regulator that contributed to LUZP2 downregulation.</description><subject>Age</subject><subject>Biomarkers</subject><subject>Brain</subject><subject>Brain cancer</subject><subject>Brain Neoplasms - genetics</subject><subject>Brain Neoplasms - pathology</subject><subject>Brain tumors</subject><subject>Data bases</subject><subject>Data mining</subject><subject>Datasets</subject><subject>DNA-Binding Proteins - genetics</subject><subject>DNA-Binding Proteins - metabolism</subject><subject>Down-Regulation - genetics</subject><subject>Extracellular matrix</subject><subject>Gender</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Ontology</subject><subject>Gene Regulatory Networks</subject><subject>Genes</subject><subject>Genomes</subject><subject>Glioma</subject><subject>Glioma - genetics</subject><subject>Glioma - pathology</subject><subject>Gliomas</subject><subject>Histology</subject><subject>Humans</subject><subject>Intellectual disabilities</subject><subject>Kaplan-Meier Estimate</subject><subject>Medical prognosis</subject><subject>Metabolic pathways</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Multivariate analysis</subject><subject>Neoplasm Grading</subject><subject>Nervous system</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prostate cancer</subject><subject>Radiation therapy</subject><subject>Regulatory mechanisms (biology)</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Spinal cord</subject><subject>Survival Analysis</subject><subject>Transcription factors</subject><subject>Transcription Factors - metabolism</subject><subject>Tumors</subject><subject>Up-Regulation - genetics</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqN0UtvEzEUBlALUdGq7Y41GokNEgz1-7FBqgKESkFkQTdsLI8fiavJuNgzRPx7HBICZVVvbNlHn-_VBeA5gm8RYuwKQwyvlEBcYPgEnGGCaMsRRU-PZ0JOwWUpd7AuiThU_Bk4JZgrJjE_A5_fp-2Q_WrqzRjT0KTQLG6_LXFzU5pZytnXe--abRzXzTKl3CxzWg2pxPKbpm07z8b5Zt7HtDEX4CSYvvjLw34Obj9--Dr71C6-zG9m14vWUqXGFgeBbUek6xRXUHDKpJAIGq6cUFySziHmA7cuEO863kFqbbCMQmRqw0iQc_Bun3s_dRvvrB_GbHp9n-PG5J86magfvgxxrVfphxaES8V4DXh1CMjp--TLqDexWN_3ZvBpKhpTzJGgjNBKX_5H79KUh9reTtFaOa8lH9XK9F7HIaT6r92F6mtOlJQQEVXVm72yOZWSfTiWjKDeDVTvBqoPA638xb9tHvGf8VXweg_WcXBmGx8Z56vxwfzViEjMKPkFgIqvMQ</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Chen, Qianxue</creator><creator>Liu, Baohui</creator><creator>Geng, Rongxin</creator><creator>Jiang, Hongxiang</creator><creator>Zhang, Huikai</creator><creator>Qi, Yangzhi</creator><creator>Deng, Gang</creator><creator>Li, Yong</creator><creator>Ye, Zhang</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5821-6945</orcidid><orcidid>https://orcid.org/0000-0002-9413-1030</orcidid></search><sort><creationdate>2020</creationdate><title>Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low-Grade Glioma</title><author>Chen, Qianxue ; Liu, Baohui ; Geng, Rongxin ; Jiang, Hongxiang ; Zhang, Huikai ; Qi, Yangzhi ; Deng, Gang ; Li, Yong ; Ye, Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-2f72cb38db9690764587810a69d79683bd15ef6cdf3edb6b04ccfc5401a202173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Biomarkers</topic><topic>Brain</topic><topic>Brain cancer</topic><topic>Brain Neoplasms - genetics</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain tumors</topic><topic>Data bases</topic><topic>Data mining</topic><topic>Datasets</topic><topic>DNA-Binding Proteins - genetics</topic><topic>DNA-Binding Proteins - metabolism</topic><topic>Down-Regulation - genetics</topic><topic>Extracellular matrix</topic><topic>Gender</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene Ontology</topic><topic>Gene Regulatory Networks</topic><topic>Genes</topic><topic>Genomes</topic><topic>Glioma</topic><topic>Glioma - genetics</topic><topic>Glioma - pathology</topic><topic>Gliomas</topic><topic>Histology</topic><topic>Humans</topic><topic>Intellectual disabilities</topic><topic>Kaplan-Meier Estimate</topic><topic>Medical prognosis</topic><topic>Metabolic pathways</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>Multivariate analysis</topic><topic>Neoplasm Grading</topic><topic>Nervous system</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Prostate cancer</topic><topic>Radiation therapy</topic><topic>Regulatory mechanisms (biology)</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Spinal cord</topic><topic>Survival Analysis</topic><topic>Transcription factors</topic><topic>Transcription Factors - metabolism</topic><topic>Tumors</topic><topic>Up-Regulation - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Qianxue</creatorcontrib><creatorcontrib>Liu, Baohui</creatorcontrib><creatorcontrib>Geng, Rongxin</creatorcontrib><creatorcontrib>Jiang, Hongxiang</creatorcontrib><creatorcontrib>Zhang, Huikai</creatorcontrib><creatorcontrib>Qi, Yangzhi</creatorcontrib><creatorcontrib>Deng, Gang</creatorcontrib><creatorcontrib>Li, Yong</creatorcontrib><creatorcontrib>Ye, Zhang</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Qianxue</au><au>Liu, Baohui</au><au>Geng, Rongxin</au><au>Jiang, Hongxiang</au><au>Zhang, Huikai</au><au>Qi, Yangzhi</au><au>Deng, Gang</au><au>Li, Yong</au><au>Ye, Zhang</au><au>Racz, Bence</au><au>Bence Racz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low-Grade Glioma</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Background. LUZP2 is a protein limitedly expressed in the brain and spinal cord, while there are few studies on it in brain tumors. Low-grade glioma (LGG) is one of the most common brain tumors. However, the biological behavior of LGG is not very clear at present. This study was aimed at exploring the role of LUZP2 in LGG. Methods. By data mining in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA), the expression, clinical characteristics, and potential regulatory mechanism of LUZP2 in LGG were assessed. The regulatory miRNAs of LUZP2 were predicted using miRDB, TargetScan, and miRTarBase. Meanwhile, the potential biological function of coexpressed genes was investigated by GO and KEGG analyses. Results. LUZP2 expression was downregulated with the increase of tumor grade (p<0.05). Low LUZP2 expression independently predicted poor OS in LGG in TCGA cohort and the CGGA part B and part C cohorts (all p<0.001). Additionally, LUZP2 was targeted by miR-142-5p according to 2 prediction databases and 1 validated database, which was negatively related to LUZP2 mRNA expression (p<0.001). Kaplan-Meier analyses demonstrated that low miR-142-5p expression was significantly associated with poor OS (p<0.001). Furthermore, coexpression genes of LUZP2 were significantly involved in nervous system development and metabolic pathways.Conclusions. LUZP2 may be crucial for nervous system extracellular matrix development and serve as an important clinical biomarker for LGG patients. miR-142-5p upregulation could be the upstream regulator that contributed to LUZP2 downregulation.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>32695826</pmid><doi>10.1155/2020/9716720</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-5821-6945</orcidid><orcidid>https://orcid.org/0000-0002-9413-1030</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Age Biomarkers Brain Brain cancer Brain Neoplasms - genetics Brain Neoplasms - pathology Brain tumors Data bases Data mining Datasets DNA-Binding Proteins - genetics DNA-Binding Proteins - metabolism Down-Regulation - genetics Extracellular matrix Gender Gene expression Gene Expression Regulation, Neoplastic Gene Ontology Gene Regulatory Networks Genes Genomes Glioma Glioma - genetics Glioma - pathology Gliomas Histology Humans Intellectual disabilities Kaplan-Meier Estimate Medical prognosis Metabolic pathways MicroRNAs - genetics MicroRNAs - metabolism Multivariate analysis Neoplasm Grading Nervous system Patients Prognosis Proportional Hazards Models Prostate cancer Radiation therapy Regulatory mechanisms (biology) RNA, Messenger - genetics RNA, Messenger - metabolism Spinal cord Survival Analysis Transcription factors Transcription Factors - metabolism Tumors Up-Regulation - genetics |
| title | Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low-Grade Glioma |
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