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Background <p>Glycolysis, a central process of cellular energy metabolism, has been shown to be closely associated with the development of hepatocellular carcinoma (HCC). This study aimed to investigate the prognostic value of the glycolysis gene set (GGS) in HCC.</p> Methods <p>Online databases were searched to identify studies on the correlation between glycolysis-related gene signature score and clinical characteristics in patients with HCC. HR and OR values with 95% CI were calculated. Bioinformatics analysis and in vitro validation were used to validate the results of the meta-analysis and investigate the potential oncogenic mechanisms of GGS.</p> Results <p>Nineteen studies involving 3,406 patients were included. The pooled analysis showed that a high glycolysis-related gene signature score was associated with poor overall survival (OS) (HR = 1.98, 95% CI 1.59–2.46, <i>P</i> &lt; 0.001), disease-free survival (DFS) (HR = 2.02, 95% CI 1.54–2.64, <i>P</i> &lt; 0.001), and relapse-free survival (RFS) (HR = 2.38, 95% CI 1.39–4.08, <i>P</i> = 0.002). Bioinformatic and in vitro experiments confirmed the prognostic relevance and differential expression of GGS in HCC, and functional assays of <i>ENO1</i> further demonstrated its role in HCC progression.</p> Conclusion <p>The upregulation of the glycolysis-related gene signature score is predominantly associated with poor prognosis in patients with HCC, suggesting that GGS may serve as a potential prognostic biomarker and therapeutic target for HCC, as exemplified by <i>ENO1</i> functional validation.</p>

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Prognostic evaluation of glycolysis markers in hepatocellular carcinoma: insights from meta-analysis and multi-omics approaches

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月8日

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  • Gangyi Li,
  • Yongzhi Li,
  • Jiale Zhou,
  • Shuai Tang,
  • Huaijuan Guo,
  • Jie Lin

摘要

Background

Glycolysis, a central process of cellular energy metabolism, has been shown to be closely associated with the development of hepatocellular carcinoma (HCC). This study aimed to investigate the prognostic value of the glycolysis gene set (GGS) in HCC.

Methods

Online databases were searched to identify studies on the correlation between glycolysis-related gene signature score and clinical characteristics in patients with HCC. HR and OR values with 95% CI were calculated. Bioinformatics analysis and in vitro validation were used to validate the results of the meta-analysis and investigate the potential oncogenic mechanisms of GGS.

Results

Nineteen studies involving 3,406 patients were included. The pooled analysis showed that a high glycolysis-related gene signature score was associated with poor overall survival (OS) (HR = 1.98, 95% CI 1.59–2.46, P < 0.001), disease-free survival (DFS) (HR = 2.02, 95% CI 1.54–2.64, P < 0.001), and relapse-free survival (RFS) (HR = 2.38, 95% CI 1.39–4.08, P = 0.002). Bioinformatic and in vitro experiments confirmed the prognostic relevance and differential expression of GGS in HCC, and functional assays of ENO1 further demonstrated its role in HCC progression.

Conclusion

The upregulation of the glycolysis-related gene signature score is predominantly associated with poor prognosis in patients with HCC, suggesting that GGS may serve as a potential prognostic biomarker and therapeutic target for HCC, as exemplified by ENO1 functional validation.