Suppr超能文献

AEBP1 在胶质母细胞瘤中的临床意义及潜在机制。

Clinical significance and potential mechanism of AEBP1 in glioblastoma.

机构信息

Department of Dermatology, Xingtai People's Hospital, Xingtai, China.

Department of Hematology, Xingtai People's Hospital, Xingtai, China.

出版信息

J Neuropathol Exp Neurol. 2024 Dec 1;83(12):1020-1029. doi: 10.1093/jnen/nlae091.

Abstract

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.

摘要

胶质母细胞瘤(GBM)是最常见的原发性脑肿瘤,缺乏准确的预后标志物,预后不良。我们的研究旨在确定有效的 GBM 预后分析和精准治疗的生物标志物。从 Xena 数据库和 GEPIA 分析 GBM 患者和对照之间的差异表达基因(DEGs)。基于筛选出的 DEGs,进行单变量 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受者操作特征分析,并对脂肪细胞增强结合蛋白 1(AEBP1)高表达和低表达的两组进行富集分析。使用 CIBERSORT、ssGSEA 和 ESTIMATE 进行免疫浸润分析。使用 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中起作用,与 GBM 中的免疫浸润呈正相关;其在癌症患者中的高表达与总生存期短和肿瘤分期进展有关。这项研究表明,AEBP1 可以作为 GBM 的预后标志物,高表达的患者可能对免疫治疗有更好的反应。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验