{"title":"Analysis of Long Noncoding RNA in Fatty Acid Metabolism to Identify Prognostic Markers and Predict Immunotherapy Response in Low-Grade Glioma","authors":"Yang Cui","doi":"10.1016/j.wneu.2025.123723","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Low-grade gliomas (LGGs) are notorious for their difficult early-stage diagnosis, limited treatment options, and poor prognosis, making them a focal point in cancer research. Long noncoding RNAs (lncRNAs) have been identified as regulators of metabolic reprogramming in tumor cells, offering new directions for LGG treatment.</div></div><div><h3>Methods</h3><div>This study employed data from The Cancer Genome Atlas, focusing on key fatty acid metabolism-related lncRNA. A risk scoring model was developed using univariate/multifactorial and least absolute shrinkage and selection operator Cox regression. Additionally, the study evaluated the role of these prognostic lncRNAs in LGG progression by assessing associations between LGG immune markers and tumor drug resistance. Finally, functional enrichment analysis highlighted the molecular roles of these lncRNAs.</div></div><div><h3>Results</h3><div>In this study, a total of 14 prognostic lncRNAs were obtained. The risk model demonstrated excellent validity and reliability, making it a superior predictor of prognosis among patients with varying LGG risks. Among the identified lncRNAs, GHET-1 was notably associated with LGG sensitivity to current chemotherapy options and might be a crucial lncRNA affecting LGG progression. High-risk patients exhibited T-helper cell-mediated immunosuppression, potentially paving new paths for future LGG immunotherapy.</div></div><div><h3>Conclusions</h3><div>Focusing on lncRNA regulation and fatty acid metabolism reprogramming, this study established an innovative prognostic prediction model for LGGs, showing outstanding validity and reliability. The findings offer new molecular and cellular targets for the future development of LGG treatments.</div></div>","PeriodicalId":23906,"journal":{"name":"World neurosurgery","volume":"196 ","pages":"Article 123723"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878875025000798","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Low-grade gliomas (LGGs) are notorious for their difficult early-stage diagnosis, limited treatment options, and poor prognosis, making them a focal point in cancer research. Long noncoding RNAs (lncRNAs) have been identified as regulators of metabolic reprogramming in tumor cells, offering new directions for LGG treatment.
Methods
This study employed data from The Cancer Genome Atlas, focusing on key fatty acid metabolism-related lncRNA. A risk scoring model was developed using univariate/multifactorial and least absolute shrinkage and selection operator Cox regression. Additionally, the study evaluated the role of these prognostic lncRNAs in LGG progression by assessing associations between LGG immune markers and tumor drug resistance. Finally, functional enrichment analysis highlighted the molecular roles of these lncRNAs.
Results
In this study, a total of 14 prognostic lncRNAs were obtained. The risk model demonstrated excellent validity and reliability, making it a superior predictor of prognosis among patients with varying LGG risks. Among the identified lncRNAs, GHET-1 was notably associated with LGG sensitivity to current chemotherapy options and might be a crucial lncRNA affecting LGG progression. High-risk patients exhibited T-helper cell-mediated immunosuppression, potentially paving new paths for future LGG immunotherapy.
Conclusions
Focusing on lncRNA regulation and fatty acid metabolism reprogramming, this study established an innovative prognostic prediction model for LGGs, showing outstanding validity and reliability. The findings offer new molecular and cellular targets for the future development of LGG treatments.
期刊介绍:
World Neurosurgery has an open access mirror journal World Neurosurgery: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The journal''s mission is to:
-To provide a first-class international forum and a 2-way conduit for dialogue that is relevant to neurosurgeons and providers who care for neurosurgery patients. The categories of the exchanged information include clinical and basic science, as well as global information that provide social, political, educational, economic, cultural or societal insights and knowledge that are of significance and relevance to worldwide neurosurgery patient care.
-To act as a primary intellectual catalyst for the stimulation of creativity, the creation of new knowledge, and the enhancement of quality neurosurgical care worldwide.
-To provide a forum for communication that enriches the lives of all neurosurgeons and their colleagues; and, in so doing, enriches the lives of their patients.
Topics to be addressed in World Neurosurgery include: EDUCATION, ECONOMICS, RESEARCH, POLITICS, HISTORY, CULTURE, CLINICAL SCIENCE, LABORATORY SCIENCE, TECHNOLOGY, OPERATIVE TECHNIQUES, CLINICAL IMAGES, VIDEOS