多组学与孟德尔随机化研究探索脑膜瘤的潜在治疗靶点。
Multi-omics and Mendelian randomization study explores potential therapeutic targets for meningiomas.
作者信息
Li Yongxue, Lin Lihao, Zhang Wenhui, Wang Yan, Shen Haoyu, Guan Yi
机构信息
Department of Neurosurgery, The First Hospital of Jilin University, Changchun, People's Republic of China.
Department of Neurosurgery, The Second Hospital of Tianjin Medical University, Tianjin, China.
出版信息
Discov Oncol. 2025 Aug 2;16(1):1457. doi: 10.1007/s12672-025-03318-0.
BACKGROUND
Meningioma is a common primary central nervous system tumor that can cause a heavy burden on patients. Despite its well-established treatment modalities, pharmacological treatments are not sufficiently abundant. Therefore, we explored potential therapeutic targets for meningiomas by integrating genomic and proteomic data.
METHODS
We integrated meningioma data from the UK Biobank and Finnish databases and subsequently explored potential therapeutic targets for meningiomas through multi-omics data using bioinformatics techniques and Mendelian randomization. These targets were finally evaluated using phenotype-wide association group analysis.
RESULTS
We found that BET1L, COL17A1, CFAP43, SH3PXD2A, TTC28, ZNRF3, SLK, AKR1C3, NRXN3, and RSPO3 can be potential therapeutic targets for meningiomas.
CONCLUSION
This study provides evidence and explores the biological significance of BET1L, COL17A1, CFAP43, SH3PXD2A, TTC28, ZNRF3, SLK, AKR1C3, NRXN3, and RSPO3 as potential therapeutic targets for meningiomas, providing new insights into the development of targeted therapy for meningiomas.
背景
脑膜瘤是一种常见的原发性中枢神经系统肿瘤，会给患者带来沉重负担。尽管其治疗方式已确立，但药物治疗并不充分。因此，我们通过整合基因组和蛋白质组数据来探索脑膜瘤的潜在治疗靶点。
方法
我们整合了来自英国生物银行和芬兰数据库的脑膜瘤数据，随后使用生物信息学技术和孟德尔随机化通过多组学数据探索脑膜瘤的潜在治疗靶点。最后使用全表型关联组分析对这些靶点进行评估。
结果
我们发现BET1L、COL17A1、CFAP43、SH3PXD2A、TTC28、ZNRF3、SLK、AKR1C3、NRXN3和RSPO3可能是脑膜瘤的潜在治疗靶点。
结论
本研究提供了证据，并探讨了BET1L、COL17A1、CFAP43、SH3PXD2A、TTC28、ZNRF3、SLK、AKR1C3、NRXN3和RSPO3作为脑膜瘤潜在治疗靶点的生物学意义，为脑膜瘤靶向治疗的发展提供了新的见解。
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