{"title":"低级别胶质瘤中的杯突相关基因定位 DNA 甲基化:预后与肿瘤微环境","authors":"Liucun Zhu, Fa Yuan, Xue Wang, Rui Zhu, Wenna Guo","doi":"10.3233/CBM-230341","DOIUrl":null,"url":null,"abstract":"<p><p>Cuproptosis a novel copper-dependent cell death modality, plays a crucial part in the oncogenesis, progression and prognosis of tumors. However, the relationships among DNA-methylation located in cuproptosis-related genes (CRGs), overall survival (OS) and the tumor microenvironment remain undefined. In this study, we systematically assessed the prognostic value of CRG-located DNA-methylation for lower-grade glioma (LGG). Clinical and molecular data were sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We employed Cox hazard regression to examine the associations between CRG-located DNA-methylation and OS, leading to the development of a prognostic signature. Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses were utilized to gauge the accuracy of the signature. Gene Set Enrichment Analysis (GSEA) was applied to uncover potential biological functions of differentially expressed genes between high- and low-risk groups. A three CRG-located DNA-methylation prognostic signature was established based on TCGA database and validated in GEO dataset. The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves in the TCGA dataset were 0.884, 0.888, and 0.859 while those in the GEO dataset were 0.943, 0.761 and 0.725, respectively. Cox-regression-analyses revealed the risk signature as an independent risk factor for LGG patients. Immunogenomic profiling suggested that the signature was associated with immune infiltration level and immune checkpoints. Functional enrichment analysis indicated differential enrichment in cell differentiation in the hindbrain, ECM receptor interactions, glycolysis and reactive oxygen species pathway across different groups. We developed and verified a novel CRG-located DNA-methylation signature to predict the prognosis in LGG patients. Our findings emphasize the potential clinical implications of CRG-located DNA-methylation indicating that it may serve as a promising therapeutic target for LGG patients.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":" ","pages":"185-198"},"PeriodicalIF":2.2000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11307024/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment.\",\"authors\":\"Liucun Zhu, Fa Yuan, Xue Wang, Rui Zhu, Wenna Guo\",\"doi\":\"10.3233/CBM-230341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cuproptosis a novel copper-dependent cell death modality, plays a crucial part in the oncogenesis, progression and prognosis of tumors. However, the relationships among DNA-methylation located in cuproptosis-related genes (CRGs), overall survival (OS) and the tumor microenvironment remain undefined. In this study, we systematically assessed the prognostic value of CRG-located DNA-methylation for lower-grade glioma (LGG). Clinical and molecular data were sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We employed Cox hazard regression to examine the associations between CRG-located DNA-methylation and OS, leading to the development of a prognostic signature. Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses were utilized to gauge the accuracy of the signature. Gene Set Enrichment Analysis (GSEA) was applied to uncover potential biological functions of differentially expressed genes between high- and low-risk groups. A three CRG-located DNA-methylation prognostic signature was established based on TCGA database and validated in GEO dataset. The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves in the TCGA dataset were 0.884, 0.888, and 0.859 while those in the GEO dataset were 0.943, 0.761 and 0.725, respectively. Cox-regression-analyses revealed the risk signature as an independent risk factor for LGG patients. Immunogenomic profiling suggested that the signature was associated with immune infiltration level and immune checkpoints. Functional enrichment analysis indicated differential enrichment in cell differentiation in the hindbrain, ECM receptor interactions, glycolysis and reactive oxygen species pathway across different groups. We developed and verified a novel CRG-located DNA-methylation signature to predict the prognosis in LGG patients. 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引用次数: 0
摘要
铜中毒是一种新型的铜依赖性细胞死亡模式,在肿瘤的发生、发展和预后中起着至关重要的作用。然而,杯突相关基因(CRGs)中的DNA甲基化、总生存率(OS)和肿瘤微环境之间的关系仍未确定。在这项研究中,我们系统地评估了位于CRG的DNA甲基化对低级别胶质瘤(LGG)的预后价值。临床和分子数据来自癌症基因组图谱(TCGA)和基因表达总库(GEO)数据库。我们采用考克斯危险回归法研究了CRG定位的DNA甲基化与OS之间的关系,从而建立了预后特征。我们利用卡普兰-梅耶生存率和时间依赖性接收器操作特征(ROC)分析来衡量特征的准确性。基因组富集分析(Gene Set Enrichment Analysis,GSEA)用于揭示高危组和低危组之间差异表达基因的潜在生物学功能。基于TCGA数据库建立了三个CRG定位的DNA甲基化预后特征,并在GEO数据集中进行了验证。TCGA数据集的1年、3年和5年ROC曲线下面积(AUC)分别为0.884、0.888和0.859,而GEO数据集的ROC曲线下面积(AUC)分别为0.943、0.761和0.725。Cox回归分析显示,风险特征是LGG患者的一个独立风险因素。免疫组学分析表明,该特征与免疫浸润水平和免疫检查点有关。功能富集分析表明,不同组别在后脑细胞分化、ECM受体相互作用、糖酵解和活性氧通路方面存在不同的富集。我们开发并验证了一种新的CRG定位DNA甲基化特征,用于预测LGG患者的预后。我们的发现强调了CRG定位的DNA甲基化的潜在临床意义,表明它可能成为LGG患者的一个有前途的治疗靶点。
Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment.
Cuproptosis a novel copper-dependent cell death modality, plays a crucial part in the oncogenesis, progression and prognosis of tumors. However, the relationships among DNA-methylation located in cuproptosis-related genes (CRGs), overall survival (OS) and the tumor microenvironment remain undefined. In this study, we systematically assessed the prognostic value of CRG-located DNA-methylation for lower-grade glioma (LGG). Clinical and molecular data were sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We employed Cox hazard regression to examine the associations between CRG-located DNA-methylation and OS, leading to the development of a prognostic signature. Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses were utilized to gauge the accuracy of the signature. Gene Set Enrichment Analysis (GSEA) was applied to uncover potential biological functions of differentially expressed genes between high- and low-risk groups. A three CRG-located DNA-methylation prognostic signature was established based on TCGA database and validated in GEO dataset. The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves in the TCGA dataset were 0.884, 0.888, and 0.859 while those in the GEO dataset were 0.943, 0.761 and 0.725, respectively. Cox-regression-analyses revealed the risk signature as an independent risk factor for LGG patients. Immunogenomic profiling suggested that the signature was associated with immune infiltration level and immune checkpoints. Functional enrichment analysis indicated differential enrichment in cell differentiation in the hindbrain, ECM receptor interactions, glycolysis and reactive oxygen species pathway across different groups. We developed and verified a novel CRG-located DNA-methylation signature to predict the prognosis in LGG patients. Our findings emphasize the potential clinical implications of CRG-located DNA-methylation indicating that it may serve as a promising therapeutic target for LGG patients.
期刊介绍:
Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.