Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas
Jinxing Li,1,2 Jing Huan,1 Fu Yang,1,2 Haixin Chen,2,3 Mingguang Wang,2 Xueyuan Heng2 1Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, People’s Republic of China; 2Department of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of China; 3Weifa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2021-10-01
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| Series: | International Journal of General Medicine |
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| Online Access: | https://www.dovepress.com/identification-and-validation-of-a-seizure-free-related-gene-signature-peer-reviewed-fulltext-article-IJGM |
| _version_ | 1818592002512519168 |
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| author | Li J Huan J Yang F Chen H Wang M Heng X |
| author_facet | Li J Huan J Yang F Chen H Wang M Heng X |
| author_sort | Li J |
| collection | DOAJ |
| description | Jinxing Li,1,2 Jing Huan,1 Fu Yang,1,2 Haixin Chen,2,3 Mingguang Wang,2 Xueyuan Heng2 1Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, People’s Republic of China; 2Department of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of China; 3Weifang Medical University, Weifang, 261053, Shandong, People’s Republic of ChinaCorrespondence: Xueyuan HengDepartment of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of ChinaTel +86 13908990919Email hengxueyuan1962@126.com; hengxueyuan1962@163.comBackground: Lower-grade gliomas (LGGs) patients presented seizure-free have a worse survival than those presented with seizures. However, the current knowledge on its potential value in LGGs remains scarce.Purpose: This study aimed to identify a novel gene signature associated with seizures-free for predicting poor prognosis for LGGs patients.Materials and Methods: The RNA expression and clinical information of LGGs patients were downloaded from the Cancer Genome Atlas database. Differentially expressed genes (DEGs) were screened out between LGGs patients presented seizures-free and seizures. The novel gene signature was constructed by Lasso and multivariate regression analyses for predicting prognosis in LGGs. Its prognostic value was assessed and validated by Kaplan–Meier analyses and receiver operating characteristic (ROC) curves. Multivariate regression analysis was applied to identify the independent prognostic value of the gene signature. Furthermore, bioinformatics analysis was performed to elucidate the molecular mechanisms.Results: A total of 253 DEGs were screened out between LGG patients presented with seizures and free of seizures. A 5-gene signature (HIST1H4F, HORMAD2, LILRA3, PRSS33, and TBX20 genes) was constructed from these 253 DEGs. Kaplan–Meier analyses and ROC curves assessed and validated the good performance of the 5-gene signature in differentiating and predicting prognosis of high- and low-risk patients. Multivariate regression analysis determined the independent prognostic value of the 5-gene signature. According to bioinformatics analysis, DEGs were mainly enriched in biological processes related to positive regulation of transcription from RNA polymerase II promoter, G-protein coupled receptor signaling pathway, and pathways of cytokine–cytokine receptor interaction, chemokine signaling pathway.Conclusion: Our findings suggested that the 5-gene signature might serve as a potential prognostic biomarker and provide guidance for the personalized LGGs management.Keywords: lower-grade gliomas, seizures-free, gene signature |
| first_indexed | 2024-12-16T10:21:24Z |
| format | Article |
| id | doaj.art-bd0667469e2e4762b10a1993d91361f9 |
| institution | Directory Open Access Journal |
| issn | 1178-7074 |
| language | English |
| last_indexed | 2024-12-16T10:21:24Z |
| publishDate | 2021-10-01 |
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| series | International Journal of General Medicine |
| spelling | doaj.art-bd0667469e2e4762b10a1993d91361f92022-12-21T22:35:19ZengDove Medical PressInternational Journal of General Medicine1178-70742021-10-01Volume 147399741070169Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade GliomasLi JHuan JYang FChen HWang MHeng XJinxing Li,1,2 Jing Huan,1 Fu Yang,1,2 Haixin Chen,2,3 Mingguang Wang,2 Xueyuan Heng2 1Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, People’s Republic of China; 2Department of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of China; 3Weifang Medical University, Weifang, 261053, Shandong, People’s Republic of ChinaCorrespondence: Xueyuan HengDepartment of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of ChinaTel +86 13908990919Email hengxueyuan1962@126.com; hengxueyuan1962@163.comBackground: Lower-grade gliomas (LGGs) patients presented seizure-free have a worse survival than those presented with seizures. However, the current knowledge on its potential value in LGGs remains scarce.Purpose: This study aimed to identify a novel gene signature associated with seizures-free for predicting poor prognosis for LGGs patients.Materials and Methods: The RNA expression and clinical information of LGGs patients were downloaded from the Cancer Genome Atlas database. Differentially expressed genes (DEGs) were screened out between LGGs patients presented seizures-free and seizures. The novel gene signature was constructed by Lasso and multivariate regression analyses for predicting prognosis in LGGs. Its prognostic value was assessed and validated by Kaplan–Meier analyses and receiver operating characteristic (ROC) curves. Multivariate regression analysis was applied to identify the independent prognostic value of the gene signature. Furthermore, bioinformatics analysis was performed to elucidate the molecular mechanisms.Results: A total of 253 DEGs were screened out between LGG patients presented with seizures and free of seizures. A 5-gene signature (HIST1H4F, HORMAD2, LILRA3, PRSS33, and TBX20 genes) was constructed from these 253 DEGs. Kaplan–Meier analyses and ROC curves assessed and validated the good performance of the 5-gene signature in differentiating and predicting prognosis of high- and low-risk patients. Multivariate regression analysis determined the independent prognostic value of the 5-gene signature. According to bioinformatics analysis, DEGs were mainly enriched in biological processes related to positive regulation of transcription from RNA polymerase II promoter, G-protein coupled receptor signaling pathway, and pathways of cytokine–cytokine receptor interaction, chemokine signaling pathway.Conclusion: Our findings suggested that the 5-gene signature might serve as a potential prognostic biomarker and provide guidance for the personalized LGGs management.Keywords: lower-grade gliomas, seizures-free, gene signaturehttps://www.dovepress.com/identification-and-validation-of-a-seizure-free-related-gene-signature-peer-reviewed-fulltext-article-IJGMlower-grade gliomasseizures-freegene signature |
| spellingShingle | Li J Huan J Yang F Chen H Wang M Heng X Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas International Journal of General Medicine lower-grade gliomas seizures-free gene signature |
| title | Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas |
| title_full | Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas |
| title_fullStr | Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas |
| title_full_unstemmed | Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas |
| title_short | Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas |
| title_sort | identification and validation of a seizure free related gene signature for predicting poor prognosis in lower grade gliomas |
| topic | lower-grade gliomas seizures-free gene signature |
| url | https://www.dovepress.com/identification-and-validation-of-a-seizure-free-related-gene-signature-peer-reviewed-fulltext-article-IJGM |
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