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Background <p>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.</p> Methods <p>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.</p> Results <p>We found that <i>BET1L</i>, <i>COL17A1</i>, <i>CFAP43</i>, <i>SH3PXD2A</i>, <i>TTC28</i>, <i>ZNRF3</i>, <i>SLK</i>, <i>AKR1C3</i>, <i>NRXN3</i>, and <i>RSPO3</i> can be potential therapeutic targets for meningiomas.</p> Conclusion <p>This study provides evidence and explores the biological significance of <i>BET1L</i>, <i>COL17A1</i>, <i>CFAP43</i>, <i>SH3PXD2A</i>, <i>TTC28</i>, <i>ZNRF3</i>, <i>SLK</i>, <i>AKR1C3</i>, <i>NRXN3</i>, and <i>RSPO3</i> as potential therapeutic targets for meningiomas, providing new insights into the development of targeted therapy for meningiomas.</p> Graphical abstract <p></p>

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Multi-omics and Mendelian randomization study explores potential therapeutic targets for meningiomas

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月2日

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  • Yongxue Li,
  • Lihao Lin,
  • Wenhui Zhang,
  • Yan Wang,
  • Haoyu Shen,
  • Yi Guan

摘要

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.

Graphical abstract