Lele Ye, Zhuofeng Jiang, Mengxia Zheng, Kan Pan, Jingru Lian, Bing Ju, Xuefei Liu, Sangsang Tang, Gangqiang Guo, Songfa Zhang, Xin Hong, Weiguo Lu
{"title":"Fatty acid metabolism-related lncRNA prognostic signature for serous ovarian carcinoma.","authors":"Lele Ye, Zhuofeng Jiang, Mengxia Zheng, Kan Pan, Jingru Lian, Bing Ju, Xuefei Liu, Sangsang Tang, Gangqiang Guo, Songfa Zhang, Xin Hong, Weiguo Lu","doi":"10.2217/epi-2023-0388","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> To explore the role of fatty acid metabolism (FAM)-related lncRNAs in the prognosis and antitumor immunity of serous ovarian cancer (SOC). <b>Materials & methods:</b> A SOC FAM-related lncRNA risk model was developed and evaluated by a series of analyses. Additional immune-related analyses were performed to further assess the associations between immune state, tumor microenvironment and the prognostic risk model. <b>Results:</b> Five lncRNAs associated with the FAM genes were found and used to create a predictive risk model. The patients with a low-risk profile exhibited favorable prognostic outcomes. <b>Conclusion:</b> The established prognostic risk model exhibits better predictive capabilities for the prognosis of patients with SOC and offers novel potential therapy targets for SOC.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"309-329"},"PeriodicalIF":3.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epigenomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2217/epi-2023-0388","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/15 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: To explore the role of fatty acid metabolism (FAM)-related lncRNAs in the prognosis and antitumor immunity of serous ovarian cancer (SOC). Materials & methods: A SOC FAM-related lncRNA risk model was developed and evaluated by a series of analyses. Additional immune-related analyses were performed to further assess the associations between immune state, tumor microenvironment and the prognostic risk model. Results: Five lncRNAs associated with the FAM genes were found and used to create a predictive risk model. The patients with a low-risk profile exhibited favorable prognostic outcomes. Conclusion: The established prognostic risk model exhibits better predictive capabilities for the prognosis of patients with SOC and offers novel potential therapy targets for SOC.
期刊介绍：
Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community.
Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.
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