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Background <p>Coagulation factor V (FV) is an essential cofactor in the coagulation cascade. However, the precise function of FV in lower grade glioma (LGG) is little known.</p> Methods <p>We first performed a pan-cancer investigation of FV expression and prognosis using TCGA and GTEx databases. Single-cell RNA sequencing confirmed FV expression in LGG tissues. We then investigated the mRNA expression level, prognostic value, and DNA methylation of FV in LGG using bioinformatics tools. The relationship between FV expression and tumor immune invasion was investigated using TIMER.</p> Results <p>FV was highly expressed in a variety of tumors, including LGG, and was associated with tumor prognosis. By combining a series of in silico analysis (including expression and survival analysis), we found that the hsa-miR-665 was the most potent upstream miRNA of FV in LGG. Tumors with high FV expression had less infiltration of lymphocytes and myeloid cells, and FV level was negatively correlated with immune checkpoint expression.</p> Conclusion <p>Our findings suggest that FV was a potential biomarker for evaluating the prognosis and therapeutics in LGG.</p>

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Clinical significance and immune infiltration analyses of the coagulation factor V gene in brain lower grade glioma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月16日

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  • Yu Wang,
  • Haiyue Zhang,
  • Yuanyuan Zhan,
  • Zhuoran Li,
  • Sujing Li,
  • Changxu Deng,
  • Shubin Guo

摘要

Background

Coagulation factor V (FV) is an essential cofactor in the coagulation cascade. However, the precise function of FV in lower grade glioma (LGG) is little known.

Methods

We first performed a pan-cancer investigation of FV expression and prognosis using TCGA and GTEx databases. Single-cell RNA sequencing confirmed FV expression in LGG tissues. We then investigated the mRNA expression level, prognostic value, and DNA methylation of FV in LGG using bioinformatics tools. The relationship between FV expression and tumor immune invasion was investigated using TIMER.

Results

FV was highly expressed in a variety of tumors, including LGG, and was associated with tumor prognosis. By combining a series of in silico analysis (including expression and survival analysis), we found that the hsa-miR-665 was the most potent upstream miRNA of FV in LGG. Tumors with high FV expression had less infiltration of lymphocytes and myeloid cells, and FV level was negatively correlated with immune checkpoint expression.

Conclusion

Our findings suggest that FV was a potential biomarker for evaluating the prognosis and therapeutics in LGG.