Evidence map›Paper›PMID 41206438›Full record

SynthesisBMC medical genomics2025

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

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

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Gangyi Li *Department of Ophthalmology, First People's Hospital of Zigong, Zigong, 643000, Sichuan, China.
Yongzhi Li *Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, 130000, China.
Jiale Zhou *Department of Hepatobiliary and Pancreatic Surgery, the Neijiang First People's Hospital, Neijiang, 641000, Sichuan Province, China.
Shuai TangDepartment of Pathology, Deyang People's Hospital, Deyang, 618000, China.
Huaijuan GuoDepartment of Oncology, the Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China. guohuaijuan@163.com.
Jie LinDepartment of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, 130000, China. lj19962022@163.com.ORCID http://orcid.org/0000-0002-2474-5889

Funding

the Scientific and Technological Research Project of the Department of Education of Jilin Province JJKH20250197BS
6 · The paper itself

Abstract

backgroundGlycolysis, 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.

methodsOnline 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.

resultsNineteen 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.

conclusionThe 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.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularGlycolysisLiver NeoplasmsCell Line, TumorComputational BiologyGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisBiomarkers, TumorBiomarkerGlycolysis gene setHepatocellular carcinomaPrognosisTherapeutic target

Identifiers

PMID41206438
PMCPMC12595624

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.