TFPI and ROCK1 serve as the key genes in the vasculogenic mimicry-related prognostic nomogram for glioblastoma

IF 3.5 3区生物学 Q3 CELL BIOLOGY

Experimental cell research Pub Date : 2025-07-15 DOI:10.1016/j.yexcr.2025.114672

Zong-Qing Zheng , Zhichao Tian , Guannan Jiang , Haitao Shen , Zongqi Wang , Haiying Li , Zhengquan Yu , Xiang Li , Hongzhi Gao , Zhong Wang , Wanchun You , Gang Chen

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引用次数: 0

Abstract

Glioblastoma (GBM) represents the predominant malignant brain tumor, characterized by unfavorable prognoses. The identification of novel molecular markers plays a pivotal role in advancing clinical prognosis. Vasculogenic mimicry (VM) has been reported to serve a crucial role in angiogenesis within glioblastoma (GBM). Thus, we extracted data from The Cancer Genome Atlas Program (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. Subsequently, we used Kaplan-Meier (K-M) survival analysis combined with univariate and multivariate COX regression analysis to identify meaningful VM-related genes (VRGs). Based on these analyses, the VM index model and risk score model were built. The reliability of the model was then tested using CGGA data, western blotting, and tube formation assay experiments. Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) demonstrated the accuracy of these models. The correlation of TFPI and ROCK1 with tumor characteristics and immune infiltration was explored with the help of TIMER. Vitro experiments revealed that reducing the expression of ROCK1 and TFPI tended to decrease the formation of vascular-like tubes on Matrix-Gel™ compared to the control siRNA groups. Our findings suggest that ROCK1 and TFPI contribute to GBM metastasis through vasculogenic mimicry.

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TFPI和ROCK1是胶质母细胞瘤血管生成模拟相关预后图的关键基因。

胶质母细胞瘤（GBM）是主要的恶性脑肿瘤，其特点是预后不良。新分子标志物的鉴定对提高临床预后具有重要作用。据报道，血管生成模拟（VM）在胶质母细胞瘤（GBM）血管生成中起着至关重要的作用。因此，我们从癌症基因组图谱计划（TCGA）和中国胶质瘤基因组图谱（CGGA）数据库中提取数据。随后，我们使用Kaplan-Meier （K-M）生存分析结合单因素和多因素COX回归分析来鉴定有意义的vm相关基因（vrg）。在此基础上，建立了虚拟机指标模型和风险评分模型。然后使用CGGA数据、western blotting和试管形成实验来测试模型的可靠性。受试者工作特征（ROC）曲线分析和决策曲线分析（DCA）证明了这些模型的准确性。利用TIMER，探讨TFPI和ROCK1与肿瘤特征及免疫浸润的相关性。体外实验显示，与对照siRNA组相比，降低ROCK1和TFPI的表达倾向于减少Matrix-Gel™上血管样管的形成。我们的研究结果表明，ROCK1和TFPI通过血管生成模拟参与GBM转移。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Experimental cell research 医学-细胞生物学

CiteScore

7.20

自引率

0.00%

发文量

295

审稿时长

30 days

期刊介绍： Our scope includes but is not limited to areas such as: Chromosome biology; Chromatin and epigenetics; DNA repair; Gene regulation; Nuclear import-export; RNA processing; Non-coding RNAs; Organelle biology; The cytoskeleton; Intracellular trafficking; Cell-cell and cell-matrix interactions; Cell motility and migration; Cell proliferation; Cellular differentiation; Signal transduction; Programmed cell death.