FN1 and VEGFA Are Potential Therapeutic Targets in Glioblastoma as Determined by Bioinformatics Analysis.

IF 2.6 4区 医学 Q2 GENETICS & HEREDITY
Mijung Im, Jungwook Roh, Wonyi Jang, Wanyeon Kim
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引用次数: 0

Abstract

Background/aim: Glioblastoma is the most malignant brain tumor, and despite advances in treatment, survival rates are still dismal. Therefore, a comprehensive understanding of the underlying molecular mechanisms of glioblastoma is needed. This study suggests potential therapeutic targets in glioblastoma that may provide new therapeutic insights.

Materials and methods: To identify hub genes in glioblastoma, three datasets were selected from the GEO database. After screening DEGs using GEO2R, GO and KEGG analyses were performed using DAVID. The PPI network was visualized using Cytoscape and 7 hub genes were extracted. The prognostic potential of 7 hub genes was investigated using the Gliovis and GEPIA2 databases.

Results: In total, 176 up-regulated and 263 down-regulated genes were identified. From the PPI network, 7 hub genes were identified including CAMK2A, DLG4, SNAP25, SYT1, MYC, FN1, and VEGFA. Out of the 7 hub genes identified, FN1 and VEGFA have been associated with a poor prognosis in glioblastoma based on the survival analysis.

Conclusion: This study suggests that high levels of FN1 and VEGFA expression are associated with a poor prognosis in glioblastoma and that both genes are promising targets for glioblastoma therapy. Bioinformatics analysis of DEGs revealed putative targets that might reveal the molecular mechanisms underlying glioblastoma.

生物信息学分析确定FN1和VEGFA是胶质母细胞瘤的潜在治疗靶点。
背景/目的:胶质母细胞瘤是恶性程度最高的脑肿瘤,尽管治疗取得了进展,但其生存率仍然很低。因此,有必要全面了解胶质母细胞瘤的潜在分子机制。这项研究提示了胶质母细胞瘤的潜在治疗靶点,可能提供新的治疗见解。材料和方法:为了鉴定胶质母细胞瘤中的中枢基因,我们从GEO数据库中选择了三个数据集。在使用GEO2R筛选deg后,使用DAVID进行GO和KEGG分析。利用Cytoscape可视化PPI网络,提取7个枢纽基因。使用Gliovis和GEPIA2数据库研究7个枢纽基因的预后潜力。结果:共鉴定出176个上调基因和263个下调基因。从PPI网络中,鉴定出7个枢纽基因,包括CAMK2A、DLG4、SNAP25、SYT1、MYC、FN1和VEGFA。在鉴定的7个枢纽基因中,根据生存分析,FN1和VEGFA与胶质母细胞瘤的不良预后相关。结论:本研究提示,高水平的FN1和VEGFA表达与胶质母细胞瘤的不良预后相关,这两个基因都是胶质母细胞瘤治疗的有希望的靶点。deg的生物信息学分析揭示了可能揭示胶质母细胞瘤分子机制的假定靶点。
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
Cancer Genomics & Proteomics
Cancer Genomics & Proteomics ONCOLOGY-GENETICS & HEREDITY
CiteScore
5.00
自引率
8.00%
发文量
51
期刊介绍: Cancer Genomics & Proteomics (CGP) is an international peer-reviewed journal designed to publish rapidly high quality articles and reviews on the application of genomic and proteomic technology to basic, experimental and clinical cancer research. In this site you may find information concerning the editorial board, editorial policy, issue contents, subscriptions, submission of manuscripts and advertising. The first issue of CGP circulated in January 2004. Cancer Genomics & Proteomics is a journal of the International Institute of Anticancer Research. From January 2013 CGP is converted to an online-only open access journal. Cancer Genomics & Proteomics supports (a) the aims and the research projects of the INTERNATIONAL INSTITUTE OF ANTICANCER RESEARCH and (b) the organization of the INTERNATIONAL CONFERENCES OF ANTICANCER RESEARCH.
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