Jun Wang, Qi Zhou, Eryi Sun, Guangzhao Li, Zheng Li, Zhong Wang
{"title":"脑胶质瘤中三种衰老相关基因构建的预后风险模型的预测价值。","authors":"Jun Wang, Qi Zhou, Eryi Sun, Guangzhao Li, Zheng Li, Zhong Wang","doi":"10.1177/09287329251333904","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Gliomas are malignant brain tumors with poor prognosis, and aging is believed to play a role in their malignant transformation. However, the relationship between aging and glioma prognosis remains unclear.</p><p><strong>Objective: </strong>This study aims to construct and validate a prognostic risk model based on aging-related differential expression genes (ARDEGs) to understand their role in glioma prognosis and tumorigenesis, with a particular focus on immune responses.</p><p><strong>Methods: </strong>ARDEGs were identified between LGG and HGG through LASSO regression and Cox regression. A prognostic risk model was developed and validated. GSEA and KEGG pathway analyses were performed to explore tumorigenic mechanisms in high- and low-risk groups. The correlation between the model genes and immune cell infiltration, as well as immune checkpoint molecules, was also analyzed. The protein expression of NOG was evaluated in glioma cells using WB and IHC.</p><p><strong>Results: </strong>Three aging-related genes-IGFBP2, AGTR1, and NOG-were identified, and a prognostic model was established. KEGG and GSEA analysis revealed that the high-risk group enriched pathways related to inflammation and immune responses, while the low-risk group showed enrichment in oxidative phosphorylation and metabolism pathways. IGFBP2 and AGTR1 expression correlated positively with immunosuppressive cells and immune checkpoint molecules, whereas NOG showed an opposite trend. NOG protein expression was reduced in glioma cells and lower in high-grade gliomas compared to low-grade gliomas.</p><p><strong>Conclusions: </strong>The prognostic risk model based on aging-related genes shows strong predictive power for glioma prognosis, highlighting the potential role of immune-related pathways and NOG in tumor progression.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"2232-2243"},"PeriodicalIF":1.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The predictive value of a prognostic risk model constructed for three aging-associated genes in glioma.\",\"authors\":\"Jun Wang, Qi Zhou, Eryi Sun, Guangzhao Li, Zheng Li, Zhong Wang\",\"doi\":\"10.1177/09287329251333904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Gliomas are malignant brain tumors with poor prognosis, and aging is believed to play a role in their malignant transformation. However, the relationship between aging and glioma prognosis remains unclear.</p><p><strong>Objective: </strong>This study aims to construct and validate a prognostic risk model based on aging-related differential expression genes (ARDEGs) to understand their role in glioma prognosis and tumorigenesis, with a particular focus on immune responses.</p><p><strong>Methods: </strong>ARDEGs were identified between LGG and HGG through LASSO regression and Cox regression. A prognostic risk model was developed and validated. GSEA and KEGG pathway analyses were performed to explore tumorigenic mechanisms in high- and low-risk groups. The correlation between the model genes and immune cell infiltration, as well as immune checkpoint molecules, was also analyzed. The protein expression of NOG was evaluated in glioma cells using WB and IHC.</p><p><strong>Results: </strong>Three aging-related genes-IGFBP2, AGTR1, and NOG-were identified, and a prognostic model was established. KEGG and GSEA analysis revealed that the high-risk group enriched pathways related to inflammation and immune responses, while the low-risk group showed enrichment in oxidative phosphorylation and metabolism pathways. IGFBP2 and AGTR1 expression correlated positively with immunosuppressive cells and immune checkpoint molecules, whereas NOG showed an opposite trend. NOG protein expression was reduced in glioma cells and lower in high-grade gliomas compared to low-grade gliomas.</p><p><strong>Conclusions: </strong>The prognostic risk model based on aging-related genes shows strong predictive power for glioma prognosis, highlighting the potential role of immune-related pathways and NOG in tumor progression.</p>\",\"PeriodicalId\":48978,\"journal\":{\"name\":\"Technology and Health Care\",\"volume\":\" \",\"pages\":\"2232-2243\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology and Health Care\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1177/09287329251333904\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology and Health Care","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09287329251333904","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/30 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
The predictive value of a prognostic risk model constructed for three aging-associated genes in glioma.
Background: Gliomas are malignant brain tumors with poor prognosis, and aging is believed to play a role in their malignant transformation. However, the relationship between aging and glioma prognosis remains unclear.
Objective: This study aims to construct and validate a prognostic risk model based on aging-related differential expression genes (ARDEGs) to understand their role in glioma prognosis and tumorigenesis, with a particular focus on immune responses.
Methods: ARDEGs were identified between LGG and HGG through LASSO regression and Cox regression. A prognostic risk model was developed and validated. GSEA and KEGG pathway analyses were performed to explore tumorigenic mechanisms in high- and low-risk groups. The correlation between the model genes and immune cell infiltration, as well as immune checkpoint molecules, was also analyzed. The protein expression of NOG was evaluated in glioma cells using WB and IHC.
Results: Three aging-related genes-IGFBP2, AGTR1, and NOG-were identified, and a prognostic model was established. KEGG and GSEA analysis revealed that the high-risk group enriched pathways related to inflammation and immune responses, while the low-risk group showed enrichment in oxidative phosphorylation and metabolism pathways. IGFBP2 and AGTR1 expression correlated positively with immunosuppressive cells and immune checkpoint molecules, whereas NOG showed an opposite trend. NOG protein expression was reduced in glioma cells and lower in high-grade gliomas compared to low-grade gliomas.
Conclusions: The prognostic risk model based on aging-related genes shows strong predictive power for glioma prognosis, highlighting the potential role of immune-related pathways and NOG in tumor progression.
期刊介绍：
Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured. The main focus of THC is related to the overlapping areas of engineering and medicine. The following types of contributions are considered:
1.Original articles: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine. In particular, the clinical benefit deriving from the application of engineering methods and devices in clinical medicine should be demonstrated. Typically, full length original contributions have a length of 4000 words, thereby taking duly into account figures and tables.
2.Technical Notes and Short Communications: Technical Notes relate to novel technical developments with relevance for clinical medicine. In Short Communications, clinical applications are shortly described. 3.Both Technical Notes and Short Communications typically have a length of 1500 words.
Reviews and Tutorials (upon invitation only): Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented. The Editorial Board is responsible for the selection of topics.
4.Minisymposia (upon invitation only): Under the leadership of a Special Editor, controversial or important issues relating to health care are highlighted and discussed by various authors.
5.Letters to the Editors: Discussions or short statements (not indexed).
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