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Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma
Enhancer RNA (eRNA) has emerged as a key player in cancer biology, influencing various aspects of tumor development and progression. In this study, we investigated the role of eRNAs in kidney renal clear cell carcinoma (KIRC), the most common subtype of renal cell carcinoma. Leveraging high-throughp...
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Published in: | BMC medical genomics 2025-01, Vol.18 (1), p.3-14, Article 3 |
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description | Enhancer RNA (eRNA) has emerged as a key player in cancer biology, influencing various aspects of tumor development and progression. In this study, we investigated the role of eRNAs in kidney renal clear cell carcinoma (KIRC), the most common subtype of renal cell carcinoma. Leveraging high-throughput sequencing data and bioinformatics analysis, we identified differentially expressed eRNAs in KIRC and constructed eRNA-centric regulatory networks. Our findings revealed that up-regulated eRNAs in KIRC potentially regulate immune response and hypoxia pathways, while down-regulated eRNAs may impact ion transport, cell cycle, and metabolism. Furthermore, we developed a diagnostic prediction model based on eRNA expression profiles, demonstrating its effectiveness in KIRC diagnosis. Finally, we elucidated the regulatory mechanism of an eRNA (ENSR00000305834) on the expression of SLC15A2, a potential prognostic biomarker in KIRC, through bioinformatics analysis and in vitro validation experiments. In summary, Our study highlights the clinical significance of eRNAs in KIRC and underscores their potential as therapeutic targets. |
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In this study, we investigated the role of eRNAs in kidney renal clear cell carcinoma (KIRC), the most common subtype of renal cell carcinoma. Leveraging high-throughput sequencing data and bioinformatics analysis, we identified differentially expressed eRNAs in KIRC and constructed eRNA-centric regulatory networks. Our findings revealed that up-regulated eRNAs in KIRC potentially regulate immune response and hypoxia pathways, while down-regulated eRNAs may impact ion transport, cell cycle, and metabolism. Furthermore, we developed a diagnostic prediction model based on eRNA expression profiles, demonstrating its effectiveness in KIRC diagnosis. Finally, we elucidated the regulatory mechanism of an eRNA (ENSR00000305834) on the expression of SLC15A2, a potential prognostic biomarker in KIRC, through bioinformatics analysis and in vitro validation experiments. In summary, Our study highlights the clinical significance of eRNAs in KIRC and underscores their potential as therapeutic targets.</description><identifier>ISSN: 1755-8794</identifier><identifier>EISSN: 1755-8794</identifier><identifier>DOI: 10.1186/s12920-024-02081-5</identifier><identifier>PMID: 39754187</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Binding sites ; Bioinformatics ; Biomarkers ; Carcinoma, Renal cell ; Care and treatment ; Cell cycle ; Development and progression ; E-P loops ; ENSR00000305834 ; eRNA ; Genes ; Genetic aspects ; Genomes ; Glioma ; Health aspects ; Hypoxia ; Immune response ; Kidney cancer ; KIRC ; Liver cancer ; Medical research ; Next-generation sequencing ; Peptides ; Prediction models ; Proteins ; Regression analysis ; Renal cell carcinoma ; RNA ; SLC15A2 ; Therapeutic targets</subject><ispartof>BMC medical genomics, 2025-01, Vol.18 (1), p.3-14, Article 3</ispartof><rights>2025. The Author(s).</rights><rights>COPYRIGHT 2025 BioMed Central Ltd.</rights><rights>2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2025 2025</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c479t-5a9cae9e6891b507f3dee83b11f853f9a680a4581cd5caa7ff29339a5de228843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697625/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3152697366?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39754187$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Zhaohui</creatorcontrib><creatorcontrib>Du, Haojie</creatorcontrib><creatorcontrib>Zheng, Xudong</creatorcontrib><creatorcontrib>Zhang, Hepeng</creatorcontrib><creatorcontrib>Hu, Huajie</creatorcontrib><title>Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma</title><title>BMC medical genomics</title><addtitle>BMC Med Genomics</addtitle><description>Enhancer RNA (eRNA) has emerged as a key player in cancer biology, influencing various aspects of tumor development and progression. In this study, we investigated the role of eRNAs in kidney renal clear cell carcinoma (KIRC), the most common subtype of renal cell carcinoma. Leveraging high-throughput sequencing data and bioinformatics analysis, we identified differentially expressed eRNAs in KIRC and constructed eRNA-centric regulatory networks. Our findings revealed that up-regulated eRNAs in KIRC potentially regulate immune response and hypoxia pathways, while down-regulated eRNAs may impact ion transport, cell cycle, and metabolism. Furthermore, we developed a diagnostic prediction model based on eRNA expression profiles, demonstrating its effectiveness in KIRC diagnosis. Finally, we elucidated the regulatory mechanism of an eRNA (ENSR00000305834) on the expression of SLC15A2, a potential prognostic biomarker in KIRC, through bioinformatics analysis and in vitro validation experiments. 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Du, Haojie ; Zheng, Xudong ; Zhang, Hepeng ; Hu, Huajie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-5a9cae9e6891b507f3dee83b11f853f9a680a4581cd5caa7ff29339a5de228843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Binding sites</topic><topic>Bioinformatics</topic><topic>Biomarkers</topic><topic>Carcinoma, Renal cell</topic><topic>Care and treatment</topic><topic>Cell cycle</topic><topic>Development and progression</topic><topic>E-P loops</topic><topic>ENSR00000305834</topic><topic>eRNA</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Glioma</topic><topic>Health aspects</topic><topic>Hypoxia</topic><topic>Immune response</topic><topic>Kidney cancer</topic><topic>KIRC</topic><topic>Liver cancer</topic><topic>Medical research</topic><topic>Next-generation sequencing</topic><topic>Peptides</topic><topic>Prediction models</topic><topic>Proteins</topic><topic>Regression analysis</topic><topic>Renal cell carcinoma</topic><topic>RNA</topic><topic>SLC15A2</topic><topic>Therapeutic targets</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Zhaohui</creatorcontrib><creatorcontrib>Du, Haojie</creatorcontrib><creatorcontrib>Zheng, Xudong</creatorcontrib><creatorcontrib>Zhang, Hepeng</creatorcontrib><creatorcontrib>Hu, Huajie</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content (ProQuest)</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC medical genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Zhaohui</au><au>Du, Haojie</au><au>Zheng, Xudong</au><au>Zhang, Hepeng</au><au>Hu, Huajie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma</atitle><jtitle>BMC medical genomics</jtitle><addtitle>BMC Med Genomics</addtitle><date>2025-01-03</date><risdate>2025</risdate><volume>18</volume><issue>1</issue><spage>3</spage><epage>14</epage><pages>3-14</pages><artnum>3</artnum><issn>1755-8794</issn><eissn>1755-8794</eissn><abstract>Enhancer RNA (eRNA) has emerged as a key player in cancer biology, influencing various aspects of tumor development and progression. In this study, we investigated the role of eRNAs in kidney renal clear cell carcinoma (KIRC), the most common subtype of renal cell carcinoma. Leveraging high-throughput sequencing data and bioinformatics analysis, we identified differentially expressed eRNAs in KIRC and constructed eRNA-centric regulatory networks. Our findings revealed that up-regulated eRNAs in KIRC potentially regulate immune response and hypoxia pathways, while down-regulated eRNAs may impact ion transport, cell cycle, and metabolism. Furthermore, we developed a diagnostic prediction model based on eRNA expression profiles, demonstrating its effectiveness in KIRC diagnosis. Finally, we elucidated the regulatory mechanism of an eRNA (ENSR00000305834) on the expression of SLC15A2, a potential prognostic biomarker in KIRC, through bioinformatics analysis and in vitro validation experiments. In summary, Our study highlights the clinical significance of eRNAs in KIRC and underscores their potential as therapeutic targets.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39754187</pmid><doi>10.1186/s12920-024-02081-5</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Binding sites Bioinformatics Biomarkers Carcinoma, Renal cell Care and treatment Cell cycle Development and progression E-P loops ENSR00000305834 eRNA Genes Genetic aspects Genomes Glioma Health aspects Hypoxia Immune response Kidney cancer KIRC Liver cancer Medical research Next-generation sequencing Peptides Prediction models Proteins Regression analysis Renal cell carcinoma RNA SLC15A2 Therapeutic targets |
title | Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma |
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