Suppr超能文献

基于生物信息学的胶质母细胞瘤中改变的关键基因(综述)

Key genes altered in glioblastoma based on bioinformatics (Review).

作者信息

Al Ghafari Marcelino, El Jaafari Nour, Mouallem Mariam, Maassarani Tala, El-Sibai Mirvat, Abi-Habib Ralph

机构信息

Department of Biological Sciences, Lebanese American University, Beirut 1102 2801, Lebanon.

出版信息

Oncol Lett. 2025 Mar 24;29(5):243. doi: 10.3892/ol.2025.14989. eCollection 2025 May.

Abstract

Glioblastoma multiforme (GBM) is an aggressive brain tumor with poor prognosis. Recent advancements in bioinformatics have contributed to uncovering the genetic alterations that underlie the development and progression of GBM. Analysis of extensive genomic data led to the identification of significant pathways involved in GBM, such as the PI3K/AKT/mTOR and Ras/Raf/MEK/ERK signaling pathways, alongside key genes such as EGFR, TP53 and TERT. These findings have enhanced our understanding of GBM biology and led to the identification of new therapeutic targets. Bioinformatics has become an indispensable tool in pinpointing the genetic modifications that drive GBM, paving the way for innovative treatment strategies. This approach not only aids in comprehending the complexities of GBM but also holds promise for improving outcomes in patients suffering from this devastating disease. The ongoing integration of bioinformatics in GBM research continues to be vital for advancing therapeutic options.

摘要

多形性胶质母细胞瘤(GBM)是一种侵袭性脑肿瘤,预后较差。生物信息学的最新进展有助于揭示GBM发生和发展的潜在基因改变。对大量基因组数据的分析导致确定了GBM中涉及的重要信号通路,如PI3K/AKT/mTOR和Ras/Raf/MEK/ERK信号通路,以及关键基因如EGFR、TP53和TERT。这些发现加深了我们对GBM生物学的理解,并导致确定了新的治疗靶点。生物信息学已成为确定驱动GBM的基因修饰的不可或缺的工具,为创新治疗策略铺平了道路。这种方法不仅有助于理解GBM的复杂性,而且有望改善患有这种毁灭性疾病的患者的治疗结果。生物信息学在GBM研究中的持续整合对于推进治疗选择仍然至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be8c/11966088/0286038ccf53/ol-29-05-14989-g00.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验