AEBP1 在胶质母细胞瘤中的临床意义和潜在机制。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Chengcheng Wang, Huan Han, Fang Cheng, Hao Wang, Junlong Wang, Chong Lv, Shibin Jiang, Yan Peng, Xiaoling Zhao
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引用次数: 0

摘要

胶质母细胞瘤(GBM)是最常见的原发性脑肿瘤,但缺乏准确的预后标志物,预后较差。我们的研究旨在找出有效的生物标志物,用于GBM预后分析和精准治疗的开发。我们从 Xena 数据库和 GEPIA 中分析了 GBM 患者和对照组之间的差异表达基因(DEGs)。根据筛选出的 DEGs,进行了单变量 COX 和 LASSO 回归分析,以确定与 GBM 预后最相关的基因。选择在 GBM 患者中高表达的基因构建接收者操作特征分析,并对脂肪细胞增强子结合蛋白 1(AEBP1)的高表达组和低表达组进行富集分析。使用 CIBERSORT、ssGSEA 和 ESTIMATE 进行免疫浸润分析。利用 Xena 数据库的数据确定了约 3297 个 DEGs;确定了 8 个预后基因。AEBP1在神经元分化和发育过程中发挥作用,它在免疫浸润的GBM中呈正相关;它在癌症患者中的高表达与总生存期短和肿瘤分期晚有关。这项研究表明,AEBP1可作为GBM的预后标志物,高表达的患者可能对免疫疗法有更好的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical significance and potential mechanism of AEBP1 in glioblastoma.

Glioblastomas (GBM), the most common primary brain tumor, lack accurate prognostic markers and have a poor prognosis. Our study was designed to identify effective biomarkers for GBM prognosis analysis and development of precise treatments. Differentially expressed genes (DEGs) between GBM patients and controls were analyzed from the Xena database and GEPIA. Based on the screened DEGs, univariate COX and LASSO regression analysis were performed to identify the most relevant genes associated with GBM prognosis. Genes highly expressed in GBM patients were selected to construct receiver operating characteristic analysis and enrichment analysis was constructed on groups of high and low expression of adipocyte enhancer-binding protein 1 (AEBP1). CIBERSORT, ssGSEA and ESTIMATE were used to perform immune infiltration analysis. About 3297 DEGs were identified using data from Xena database; 8 prognostic genes were identified. AEBP1, which plays a role in neuronal differentiation and development, was positively correlated in GBMs with immune infiltration; its high expression in cancer patients is associated with short overall survival and advanced tumor staging. This study suggests that AEBP1 could serve as a prognostic marker for GBMs and that patients with high expression may have a better response to immunotherapy.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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