Xiangtian Ji, Xin Chen, Guozhong Lin, Kaiming Ma, Junhua Yang, Xiaofang Zhao, Suhua Chen, Jun Yang
{"title":"发现作为胶质瘤细胞预后生物标志物的 GJC1:深入了解其细胞周期关系和在非神经元细胞中的差异表达","authors":"Xiangtian Ji, Xin Chen, Guozhong Lin, Kaiming Ma, Junhua Yang, Xiaofang Zhao, Suhua Chen, Jun Yang","doi":"10.3389/fncel.2024.1440409","DOIUrl":null,"url":null,"abstract":"BackgroundGliomas, originating from the most common non-neuronal cells in the brain (glial cells), are the most common brain tumors and are associated with high mortality and poor prognosis. Glioma cells exhibit a tendency to disrupt normal cell-cycle regulation, leading to abnormal proliferation and malignant growth. This study investigated the predictive potential of <jats:italic>GJC1</jats:italic> in gliomas and explored its relationship with the cell cycle.MethodsRetrospective analysis of RNA-seq and single-cell sequencing data was conducted using the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) databases. The differential expression of <jats:italic>GJC1</jats:italic> in gliomas with various pathological features and in different non-neuronal cell groups was analyzed. Functional data were examined using gene set variation analysis (GSVA). Furthermore, CellMiner was used to evaluate the relationship between <jats:italic>GJC1</jats:italic> expression and predicted treatment response across these databases.Results<jats:italic>GJC1</jats:italic> expression was enriched in high-grade gliomas and 1p/19q non-codeletion gliomas. <jats:italic>GJC1</jats:italic> enrichment was observed in classical and mesenchymal subtypes within the TCGA glioma subtype group. In single-cell subgroup analysis, <jats:italic>GJC1</jats:italic> expression was higher in glioma tissues compared to other non-neuronal cells. Additionally, the TCGA classical subtype of glioma cells exhibited more <jats:italic>GJC1</jats:italic> expression than the other subgroups. <jats:italic>GJC1</jats:italic> emerged as an independent prognostic factor for overall survival in glioma. GSVA unveiled potential mechanisms by which <jats:italic>GJC1</jats:italic> may impact cell-cycle regulation in glioma. Finally, a significant correlation was observed between <jats:italic>GJC1</jats:italic> expression and the sensitivity of multiple anti-cancer drugs.ConclusionThese findings confirmed <jats:italic>GJC1</jats:italic> as a novel biomarker and provided insights into the differential gene expression in non-neuronal cells and the impact of the cell cycle on gliomas. Consequently, <jats:italic>GJC1</jats:italic> may be used to predict glioma prognosis and has potential therapeutic value.","PeriodicalId":12432,"journal":{"name":"Frontiers in Cellular Neuroscience","volume":"39 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discovery of GJC1 as a prognostic biomarker in glioma cells: insights into its cell-cycle relationship and differential expression in non-neuronal cells\",\"authors\":\"Xiangtian Ji, Xin Chen, Guozhong Lin, Kaiming Ma, Junhua Yang, Xiaofang Zhao, Suhua Chen, Jun Yang\",\"doi\":\"10.3389/fncel.2024.1440409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BackgroundGliomas, originating from the most common non-neuronal cells in the brain (glial cells), are the most common brain tumors and are associated with high mortality and poor prognosis. Glioma cells exhibit a tendency to disrupt normal cell-cycle regulation, leading to abnormal proliferation and malignant growth. This study investigated the predictive potential of <jats:italic>GJC1</jats:italic> in gliomas and explored its relationship with the cell cycle.MethodsRetrospective analysis of RNA-seq and single-cell sequencing data was conducted using the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) databases. The differential expression of <jats:italic>GJC1</jats:italic> in gliomas with various pathological features and in different non-neuronal cell groups was analyzed. Functional data were examined using gene set variation analysis (GSVA). Furthermore, CellMiner was used to evaluate the relationship between <jats:italic>GJC1</jats:italic> expression and predicted treatment response across these databases.Results<jats:italic>GJC1</jats:italic> expression was enriched in high-grade gliomas and 1p/19q non-codeletion gliomas. <jats:italic>GJC1</jats:italic> enrichment was observed in classical and mesenchymal subtypes within the TCGA glioma subtype group. In single-cell subgroup analysis, <jats:italic>GJC1</jats:italic> expression was higher in glioma tissues compared to other non-neuronal cells. Additionally, the TCGA classical subtype of glioma cells exhibited more <jats:italic>GJC1</jats:italic> expression than the other subgroups. <jats:italic>GJC1</jats:italic> emerged as an independent prognostic factor for overall survival in glioma. GSVA unveiled potential mechanisms by which <jats:italic>GJC1</jats:italic> may impact cell-cycle regulation in glioma. Finally, a significant correlation was observed between <jats:italic>GJC1</jats:italic> expression and the sensitivity of multiple anti-cancer drugs.ConclusionThese findings confirmed <jats:italic>GJC1</jats:italic> as a novel biomarker and provided insights into the differential gene expression in non-neuronal cells and the impact of the cell cycle on gliomas. Consequently, <jats:italic>GJC1</jats:italic> may be used to predict glioma prognosis and has potential therapeutic value.\",\"PeriodicalId\":12432,\"journal\":{\"name\":\"Frontiers in Cellular Neuroscience\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Cellular Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fncel.2024.1440409\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Cellular Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fncel.2024.1440409","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Discovery of GJC1 as a prognostic biomarker in glioma cells: insights into its cell-cycle relationship and differential expression in non-neuronal cells
BackgroundGliomas, originating from the most common non-neuronal cells in the brain (glial cells), are the most common brain tumors and are associated with high mortality and poor prognosis. Glioma cells exhibit a tendency to disrupt normal cell-cycle regulation, leading to abnormal proliferation and malignant growth. This study investigated the predictive potential of GJC1 in gliomas and explored its relationship with the cell cycle.MethodsRetrospective analysis of RNA-seq and single-cell sequencing data was conducted using the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) databases. The differential expression of GJC1 in gliomas with various pathological features and in different non-neuronal cell groups was analyzed. Functional data were examined using gene set variation analysis (GSVA). Furthermore, CellMiner was used to evaluate the relationship between GJC1 expression and predicted treatment response across these databases.ResultsGJC1 expression was enriched in high-grade gliomas and 1p/19q non-codeletion gliomas. GJC1 enrichment was observed in classical and mesenchymal subtypes within the TCGA glioma subtype group. In single-cell subgroup analysis, GJC1 expression was higher in glioma tissues compared to other non-neuronal cells. Additionally, the TCGA classical subtype of glioma cells exhibited more GJC1 expression than the other subgroups. GJC1 emerged as an independent prognostic factor for overall survival in glioma. GSVA unveiled potential mechanisms by which GJC1 may impact cell-cycle regulation in glioma. Finally, a significant correlation was observed between GJC1 expression and the sensitivity of multiple anti-cancer drugs.ConclusionThese findings confirmed GJC1 as a novel biomarker and provided insights into the differential gene expression in non-neuronal cells and the impact of the cell cycle on gliomas. Consequently, GJC1 may be used to predict glioma prognosis and has potential therapeutic value.
期刊介绍:
Frontiers in Cellular Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the cellular mechanisms underlying cell function in the nervous system across all species. Specialty Chief Editors Egidio D‘Angelo at the University of Pavia and Christian Hansel at the University of Chicago are supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.