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通过生物信息学分析确定，FN1和VEGFA是胶质母细胞瘤潜在的治疗靶点。

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

作者信息

Im Mijung, Roh Jungwook, Jang Wonyi, Kim Wanyeon

机构信息

Department of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea.

Department of Biology Education, Seowon University, Cheongju-si, Republic of Korea.

出版信息

Cancer Genomics Proteomics. 2025 Jan-Feb;22(1):70-80. doi: 10.21873/cgp.20488.

DOI:10.21873/cgp.20488
PMID:39730176
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11696323/
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.

摘要

背景/目的：胶质母细胞瘤是最恶性的脑肿瘤，尽管治疗取得了进展，但生存率仍然很低。因此，需要全面了解胶质母细胞瘤的潜在分子机制。本研究提出了胶质母细胞瘤的潜在治疗靶点，可能提供新的治疗思路。

材料与方法

为了鉴定胶质母细胞瘤中的核心基因，从GEO数据库中选择了三个数据集。使用GEO2R筛选差异表达基因（DEGs）后，使用DAVID进行基因本体（GO）和京都基因与基因组百科全书（KEGG）分析。使用Cytoscape可视化蛋白质-蛋白质相互作用（PPI）网络并提取7个核心基因。使用Gliovis和GEPIA2数据库研究7个核心基因的预后潜力。

结果

总共鉴定出176个上调基因和263个下调基因。从PPI网络中，鉴定出7个核心基因，包括钙/钙调蛋白依赖性蛋白激酶2A（CAMK2A）、盘状球蛋白结构域蛋白4（DLG4）、突触小体相关蛋白25（SNAP25）、突触结合蛋白1（SYT1）、原癌基因c-Myc（MYC）、纤连蛋白1（FN1）和血管内皮生长因子A（VEGFA）。基于生存分析，在鉴定出的7个核心基因中，FN1和VEGFA与胶质母细胞瘤的不良预后相关。

结论

本研究表明，FN1和VEGFA的高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。对DEGs的生物信息学分析揭示了可能揭示胶质母细胞瘤潜在分子机制的假定靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/7cbf1eee9213/cgp-22-76-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/61584fc9eae2/cgp-22-72-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/022e32009b6a/cgp-22-73-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/d662471da23e/cgp-22-74-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/5d0d1634987d/cgp-22-75-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/7cbf1eee9213/cgp-22-76-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/61584fc9eae2/cgp-22-72-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/022e32009b6a/cgp-22-73-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/d662471da23e/cgp-22-74-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/5d0d1634987d/cgp-22-75-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/11696323/7cbf1eee9213/cgp-22-76-g0001.jpg

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