Analysis of a novel therapeutic target and development of a prognostic model for primary glioblastoma based on ferroptosis-related genes.

IF 1.6 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-10-07 DOI:10.1080/10255842.2025.2569829

Wenhua Zhang, Yaxiong Li, Conghui Li, Qiang Huang

引用次数: 0

Abstract

This study establishes a novel prognostic signature based on seven ferroptosis-related genes (FRGs) for primary glioblastoma (GBM). The model independently predicts patient survival and is associated with distinct immune microenvironment profiles, including altered infiltration of NK cells and regulatory T cells. The low-risk group demonstrated potential heightened sensitivity to immunotherapy. These findings propose the FRG signature as a valuable tool for prognosis assessment and personalized treatment strategy in GBM.

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基于嗜铁相关基因的原发性胶质母细胞瘤新治疗靶点分析及预后模型的建立。

本研究建立了一种基于7个嗜铁相关基因（FRGs）的原发性胶质母细胞瘤（GBM）预后的新特征。该模型独立预测患者生存，并与不同的免疫微环境特征相关，包括NK细胞和调节性T细胞浸润的改变。低危组表现出对免疫治疗潜在的更高敏感性。这些发现表明FRG特征是GBM预后评估和个性化治疗策略的有价值的工具。

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

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.