{"title":"VAT1相关基因特征可预测胶质瘤的放射抗药性。","authors":"Xia Shan, Zhiyan Sun, Ruoyu Huang, Kuanyu Wang, Xiaoguang Qiu, Pei Yang","doi":"10.1016/j.heliyon.2025.e42583","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Radiotherapy is a vital postoperative adjuvant treatment for gliomas. However, radioresistance seriously affect the treatment efficacy. Excavating the feature of radioresisrtance in gliomas comprehensively are necessary.</p><p><strong>Methods: </strong>In the training set, 191 patients from the Chinese Glioma Genome Atlas (CGGA) were included, of which all patients had received postoperative radiotherapy. The epidemiological data and RNA sequencing data of 430 patients with whole grade glioma were obtained from the Cancer Genome Atlas (TCGA), which was used for validation.</p><p><strong>Results: </strong>Based on the Lasso regression analysis, five-gene signature was established which was associated with VAT1-related radioresistance in gliomas. High-risk patients showed higher proportion of elders, high-grade glioma, oligodendroglial histology and IDH wild type. The risk score was identified as an independent prognostic factor in the CGGA dataset, and the high-risk score impaired the overall survival time. The biological processes of positively expressed genes of risk score were functionally involved in inflammatory and immune response. And the activation of signaling pathways in high-risk score group also showed close correlation with tumor occurrence, progression and immune microenvironment. What's more, the immune cell infiltration analysis showed that high-risk score indicated decreased CD8<sup>+</sup> T cell and the upregulation of the immune checkpoints, which probably promoted the immunosuppressive microenvironment.</p><p><strong>Conclusion: </strong>The five-gene signature can predict the survival of patients with glioma received postoperative radiotherapy efficiently. 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引用次数: 0
摘要
背景:放疗是胶质瘤术后重要的辅助治疗手段。然而,放射抵抗严重影响了治疗效果。全面挖掘胶质瘤的放射抗性特征十分必要:在训练集中,纳入了中国胶质瘤基因组图谱(CGGA)中的 191 例患者,其中所有患者均接受过术后放疗。从癌症基因组图谱(TCGA)中获得了430例全分化胶质瘤患者的流行病学数据和RNA测序数据,用于验证:结果:根据拉索回归分析,建立了与胶质瘤中VAT1相关放射抗性相关的5个基因特征。高危患者中长者、高级别胶质瘤、少突胶质组织学和IDH野生型的比例较高。在CGGA数据集中,风险评分被认为是一个独立的预后因素,高风险评分会影响总生存时间。风险评分中正表达基因的生物学过程在功能上参与了炎症和免疫反应。高风险评分组信号通路的激活也与肿瘤的发生、发展和免疫微环境密切相关。此外,免疫细胞浸润分析表明,高风险评分表明 CD8+ T 细胞减少,免疫检查点上调,这可能会促进免疫抑制微环境的形成:结论:五基因特征能有效预测接受术后放疗的胶质瘤患者的生存率。免疫抑制性微环境是胶质瘤的一个特征,可能导致放射抵抗。
A VAT1-related gene signature predicts radioresistance in gliomas.
Background: Radiotherapy is a vital postoperative adjuvant treatment for gliomas. However, radioresistance seriously affect the treatment efficacy. Excavating the feature of radioresisrtance in gliomas comprehensively are necessary.
Methods: In the training set, 191 patients from the Chinese Glioma Genome Atlas (CGGA) were included, of which all patients had received postoperative radiotherapy. The epidemiological data and RNA sequencing data of 430 patients with whole grade glioma were obtained from the Cancer Genome Atlas (TCGA), which was used for validation.
Results: Based on the Lasso regression analysis, five-gene signature was established which was associated with VAT1-related radioresistance in gliomas. High-risk patients showed higher proportion of elders, high-grade glioma, oligodendroglial histology and IDH wild type. The risk score was identified as an independent prognostic factor in the CGGA dataset, and the high-risk score impaired the overall survival time. The biological processes of positively expressed genes of risk score were functionally involved in inflammatory and immune response. And the activation of signaling pathways in high-risk score group also showed close correlation with tumor occurrence, progression and immune microenvironment. What's more, the immune cell infiltration analysis showed that high-risk score indicated decreased CD8+ T cell and the upregulation of the immune checkpoints, which probably promoted the immunosuppressive microenvironment.
Conclusion: The five-gene signature can predict the survival of patients with glioma received postoperative radiotherapy efficiently. The immunosuppressive microenvironment, as a feature of glioma, potentially devote to the radioresistance.
期刊介绍:
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