Immune-Related lncRNA Risk Signatures Predict Survival of IDH Wild-Type and MGMT Promoter Unmethylated Glioblastoma
Introduction. Glioblastoma is the most malignant grade of glioma, and it is also the most common primary tumor in the brain. Immunotherapy is a kind of precise tumor treatment. However, there are limited studies about immune-related lncRNA. This study is aimed at analyzing immune-related lncRNAs in...
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| description | Introduction. Glioblastoma is the most malignant grade of glioma, and it is also the most common primary tumor in the brain. Immunotherapy is a kind of precise tumor treatment. However, there are limited studies about immune-related lncRNA. This study is aimed at analyzing immune-related lncRNAs in glioblastoma and screening out prognostic factors, providing new potential targets for glioblastoma immunology research. Material and Methods. Gene expression data and clinical data of IDH wild-type with MGMT promoter unmethylated glioblastoma were acquired from the TCGA and CGGA databases. Immune-related lncRNAs were identified with the help of data from the InnateDB database. Immune prognostic factors were recognized by Cox regression analysis. GSEA analysis pursued their potential functions. Results. We found 318 immune-related lncRNAs. Among them, there were 137 immune-related lncRNAs that were upregulated and 181 that were downregulated. 15 prognostic lncRNAs were identified by Cox regression, and a total of 6 molecules were included in the following risk scoring model. GSEA showed that these lncRNAs participated in functions such as protein digestion and absorption and the PPAR signaling pathway. Conclusion. There are limited studies about immune regulation mechanisms of lncRNA in IDH wild-type with MGMT promoter unmethylated glioblastoma. The identified immune-related lncRNAs in glioblastoma might contribute new targets and research directions for immunological molecular studies of glioblastoma. |
| doi_str_mv | 10.1155/2020/1971284 |
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Glioblastoma is the most malignant grade of glioma, and it is also the most common primary tumor in the brain. Immunotherapy is a kind of precise tumor treatment. However, there are limited studies about immune-related lncRNA. This study is aimed at analyzing immune-related lncRNAs in glioblastoma and screening out prognostic factors, providing new potential targets for glioblastoma immunology research. Material and Methods. Gene expression data and clinical data of IDH wild-type with MGMT promoter unmethylated glioblastoma were acquired from the TCGA and CGGA databases. Immune-related lncRNAs were identified with the help of data from the InnateDB database. Immune prognostic factors were recognized by Cox regression analysis. GSEA analysis pursued their potential functions. Results. We found 318 immune-related lncRNAs. Among them, there were 137 immune-related lncRNAs that were upregulated and 181 that were downregulated. 15 prognostic lncRNAs were identified by Cox regression, and a total of 6 molecules were included in the following risk scoring model. GSEA showed that these lncRNAs participated in functions such as protein digestion and absorption and the PPAR signaling pathway. Conclusion. There are limited studies about immune regulation mechanisms of lncRNA in IDH wild-type with MGMT promoter unmethylated glioblastoma. The identified immune-related lncRNAs in glioblastoma might contribute new targets and research directions for immunological molecular studies of glioblastoma.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2020/1971284</identifier><identifier>PMID: 32851059</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor - genetics ; Brain cancer ; Brain tumors ; DNA Methylation - genetics ; DNA Modification Methylases - genetics ; DNA Repair Enzymes - genetics ; Extracellular matrix ; Female ; Gene expression ; Genetic aspects ; Glioblastoma ; Glioblastoma - genetics ; Glioblastoma - immunology ; Glioblastoma multiforme ; Glioma ; Humans ; Immunology ; Immunoregulation ; Immunotherapy ; Isocitrate Dehydrogenase - genetics ; Male ; Medical prognosis ; Methods ; Middle Aged ; Mutation ; Mutation - genetics ; Peroxisome proliferator-activated receptors ; Peroxisome Proliferator-Activated Receptors - genetics ; Prognosis ; Promoter Regions, Genetic - genetics ; Regression analysis ; RNA sequencing ; RNA, Long Noncoding - classification ; RNA, Long Noncoding - genetics ; Scoring models ; Signal transduction ; Software ; Studies ; Transcriptome - genetics ; Tumor Suppressor Proteins - genetics ; Tumors</subject><ispartof>BioMed research international, 2020, Vol.2020 (2020), p.1-11</ispartof><rights>Copyright © 2020 Xiaozhi Li and Yutong Meng.</rights><rights>COPYRIGHT 2020 John Wiley & Sons, Inc.</rights><rights>Copyright © 2020 Xiaozhi Li and Yutong Meng. 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 Xiaozhi Li and Yutong Meng. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-d71dd020034906147f50121ac444190e5cf62893b0f5d1894b7f28b0ee1e702e3</citedby><cites>FETCH-LOGICAL-c499t-d71dd020034906147f50121ac444190e5cf62893b0f5d1894b7f28b0ee1e702e3</cites><orcidid>0000-0002-0486-1938</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/PMC7441444/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441444/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32851059$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>McClellan, David A.</contributor><contributor>David A McClellan</contributor><creatorcontrib>Li, Xiaozhi</creatorcontrib><creatorcontrib>Meng, Yutong</creatorcontrib><title>Immune-Related lncRNA Risk Signatures Predict Survival of IDH Wild-Type and MGMT Promoter Unmethylated Glioblastoma</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Introduction. Glioblastoma is the most malignant grade of glioma, and it is also the most common primary tumor in the brain. Immunotherapy is a kind of precise tumor treatment. However, there are limited studies about immune-related lncRNA. This study is aimed at analyzing immune-related lncRNAs in glioblastoma and screening out prognostic factors, providing new potential targets for glioblastoma immunology research. Material and Methods. Gene expression data and clinical data of IDH wild-type with MGMT promoter unmethylated glioblastoma were acquired from the TCGA and CGGA databases. Immune-related lncRNAs were identified with the help of data from the InnateDB database. Immune prognostic factors were recognized by Cox regression analysis. GSEA analysis pursued their potential functions. Results. We found 318 immune-related lncRNAs. Among them, there were 137 immune-related lncRNAs that were upregulated and 181 that were downregulated. 15 prognostic lncRNAs were identified by Cox regression, and a total of 6 molecules were included in the following risk scoring model. GSEA showed that these lncRNAs participated in functions such as protein digestion and absorption and the PPAR signaling pathway. Conclusion. There are limited studies about immune regulation mechanisms of lncRNA in IDH wild-type with MGMT promoter unmethylated glioblastoma. The identified immune-related lncRNAs in glioblastoma might contribute new targets and research directions for immunological molecular studies of glioblastoma.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Brain cancer</subject><subject>Brain tumors</subject><subject>DNA Methylation - genetics</subject><subject>DNA Modification Methylases - genetics</subject><subject>DNA Repair Enzymes - genetics</subject><subject>Extracellular matrix</subject><subject>Female</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Glioblastoma</subject><subject>Glioblastoma - genetics</subject><subject>Glioblastoma - immunology</subject><subject>Glioblastoma multiforme</subject><subject>Glioma</subject><subject>Humans</subject><subject>Immunology</subject><subject>Immunoregulation</subject><subject>Immunotherapy</subject><subject>Isocitrate Dehydrogenase - genetics</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Mutation - genetics</subject><subject>Peroxisome proliferator-activated receptors</subject><subject>Peroxisome Proliferator-Activated Receptors - genetics</subject><subject>Prognosis</subject><subject>Promoter Regions, Genetic - genetics</subject><subject>Regression analysis</subject><subject>RNA sequencing</subject><subject>RNA, Long Noncoding - classification</subject><subject>RNA, Long Noncoding - genetics</subject><subject>Scoring models</subject><subject>Signal transduction</subject><subject>Software</subject><subject>Studies</subject><subject>Transcriptome - genetics</subject><subject>Tumor Suppressor Proteins - genetics</subject><subject>Tumors</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>eNqNkUtvEzEURkcIRKvSHWtkiQ0SDPVrHt4gRQXSSC2gNBVLyzO-k7h47NSeCcq_x1FCCqzwxpZ8dO799GXZS4LfE1IUFxRTfEFERWjNn2SnlBGel4STp8c3YyfZeYz3OJ2alFiUz7MTRuuC4EKcZnHW96ODfA5WDaCRde38ywTNTfyBbs3SqWEMENG3ANq0A7odw8ZslEW-Q7OPV-i7sTpfbNeAlNPoZnqzSKjv_QAB3bkehtV2751a4xur4uB79SJ71ikb4fxwn2V3nz8tLq_y66_T2eXkOm-5EEOuK6J1yocZFziFqroCE0pUyzknAkPRdiWtBWtwV2hSC95UHa0bDECgwhTYWfZh712PTQ-6BTcEZeU6mF6FrfTKyL9_nFnJpd_IKg1IQ5LgzUEQ_MMIcZC9iS1Yqxz4MUrKWVXzusQsoa__Qe_9GFyKt6PKFIEK8kgtlQVpXOfT3HYnlZOSE1aUNaOJeren2uBjDNAdVyZY7mqXu9rlofaEv_oz5hH-XXIC3u6BlXFa_TT_qYPEQKceacIoxZz9Ape8vCQ</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Li, Xiaozhi</creator><creator>Meng, Yutong</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/0000-0002-0486-1938</orcidid></search><sort><creationdate>2020</creationdate><title>Immune-Related lncRNA Risk Signatures Predict Survival of IDH Wild-Type and MGMT Promoter Unmethylated Glioblastoma</title><author>Li, Xiaozhi ; Meng, Yutong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-d71dd020034906147f50121ac444190e5cf62893b0f5d1894b7f28b0ee1e702e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Brain cancer</topic><topic>Brain tumors</topic><topic>DNA Methylation - genetics</topic><topic>DNA Modification Methylases - genetics</topic><topic>DNA Repair Enzymes - genetics</topic><topic>Extracellular matrix</topic><topic>Female</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Glioblastoma</topic><topic>Glioblastoma - genetics</topic><topic>Glioblastoma - immunology</topic><topic>Glioblastoma multiforme</topic><topic>Glioma</topic><topic>Humans</topic><topic>Immunology</topic><topic>Immunoregulation</topic><topic>Immunotherapy</topic><topic>Isocitrate Dehydrogenase - genetics</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Mutation</topic><topic>Mutation - genetics</topic><topic>Peroxisome proliferator-activated receptors</topic><topic>Peroxisome Proliferator-Activated Receptors - genetics</topic><topic>Prognosis</topic><topic>Promoter Regions, Genetic - genetics</topic><topic>Regression analysis</topic><topic>RNA sequencing</topic><topic>RNA, Long Noncoding - classification</topic><topic>RNA, Long Noncoding - genetics</topic><topic>Scoring models</topic><topic>Signal transduction</topic><topic>Software</topic><topic>Studies</topic><topic>Transcriptome - genetics</topic><topic>Tumor Suppressor Proteins - genetics</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiaozhi</creatorcontrib><creatorcontrib>Meng, Yutong</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>Li, Xiaozhi</au><au>Meng, Yutong</au><au>McClellan, David A.</au><au>David A McClellan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Immune-Related lncRNA Risk Signatures Predict Survival of IDH Wild-Type and MGMT Promoter Unmethylated Glioblastoma</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>11</epage><pages>1-11</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Introduction. Glioblastoma is the most malignant grade of glioma, and it is also the most common primary tumor in the brain. Immunotherapy is a kind of precise tumor treatment. However, there are limited studies about immune-related lncRNA. This study is aimed at analyzing immune-related lncRNAs in glioblastoma and screening out prognostic factors, providing new potential targets for glioblastoma immunology research. Material and Methods. Gene expression data and clinical data of IDH wild-type with MGMT promoter unmethylated glioblastoma were acquired from the TCGA and CGGA databases. Immune-related lncRNAs were identified with the help of data from the InnateDB database. Immune prognostic factors were recognized by Cox regression analysis. GSEA analysis pursued their potential functions. Results. We found 318 immune-related lncRNAs. Among them, there were 137 immune-related lncRNAs that were upregulated and 181 that were downregulated. 15 prognostic lncRNAs were identified by Cox regression, and a total of 6 molecules were included in the following risk scoring model. GSEA showed that these lncRNAs participated in functions such as protein digestion and absorption and the PPAR signaling pathway. Conclusion. There are limited studies about immune regulation mechanisms of lncRNA in IDH wild-type with MGMT promoter unmethylated glioblastoma. The identified immune-related lncRNAs in glioblastoma might contribute new targets and research directions for immunological molecular studies of glioblastoma.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>32851059</pmid><doi>10.1155/2020/1971284</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0486-1938</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Biomarkers, Tumor - genetics Brain cancer Brain tumors DNA Methylation - genetics DNA Modification Methylases - genetics DNA Repair Enzymes - genetics Extracellular matrix Female Gene expression Genetic aspects Glioblastoma Glioblastoma - genetics Glioblastoma - immunology Glioblastoma multiforme Glioma Humans Immunology Immunoregulation Immunotherapy Isocitrate Dehydrogenase - genetics Male Medical prognosis Methods Middle Aged Mutation Mutation - genetics Peroxisome proliferator-activated receptors Peroxisome Proliferator-Activated Receptors - genetics Prognosis Promoter Regions, Genetic - genetics Regression analysis RNA sequencing RNA, Long Noncoding - classification RNA, Long Noncoding - genetics Scoring models Signal transduction Software Studies Transcriptome - genetics Tumor Suppressor Proteins - genetics Tumors |
| title | Immune-Related lncRNA Risk Signatures Predict Survival of IDH Wild-Type and MGMT Promoter Unmethylated Glioblastoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T19%3A15%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Immune-Related%20lncRNA%20Risk%20Signatures%20Predict%20Survival%20of%20IDH%20Wild-Type%20and%20MGMT%20Promoter%20Unmethylated%20Glioblastoma&rft.jtitle=BioMed%20research%20international&rft.au=Li,%20Xiaozhi&rft.date=2020&rft.volume=2020&rft.issue=2020&rft.spage=1&rft.epage=11&rft.pages=1-11&rft.issn=2314-6133&rft.eissn=2314-6141&rft_id=info:doi/10.1155/2020/1971284&rft_dat=%3Cgale_pubme%3EA641356832%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2436349291&rft_id=info:pmid/32851059&rft_galeid=A641356832&rfr_iscdi=true |