Evidence mapPaperPMID 41766871Full record

ArticleFrontiers in immunology2026

Identification and validation of prognostic genes related to glycolysis and M2 macrophage in hepatocellular carcinoma: an integrated analysis of bulk RNA sequencing and single-cell RNA sequencing.

Anqi Wang, Lina You, Ming Zuo, Zhanao He, Hong Yang, Wukui Huang

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Anqi WangThird Clinical Medical College of Xinjiang Medical University (The Affiliated Tumor Hospital of Xinjiang Medical University), Urumqi, Xinjiang, China.
Lina YouDepartment of Traditional Chinese Medicine Oncology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Ming ZuoDepartment of Medical, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Zhanao HeDepartment of Interventional Diagnosis and Treatment, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Hong YangThird Clinical Medical College of Xinjiang Medical University (The Affiliated Tumor Hospital of Xinjiang Medical University), Urumqi, Xinjiang, China.
Wukui HuangDepartment of Interventional Diagnosis and Treatment, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The role of the crosstalk between glycolysis and M2 macrophages in hepatocellular carcinoma (HCC) progression remains incompletely understood. This study aimed to identify prognostic genes linked to both glycolysis and M2 macrophages in HCC and to elucidate their mechanistic underpinnings. Methods: Single-cell RNA sequencing (scRNA-seq) and transcriptomic data (TCGA-LIHC) were obtained from public databases. M2 macrophage-related genes (MRGs) were integrated with differentially expressed genes (DEGs1) from immune infiltration analysis and macrophage polarization-related genes (MPRGs). Candidate genes were identified through the intersection of glycolysis-related genes (GRGs), MRGs, and HCC-control DEGs (DEGs2). Prognostic genes were selected Results: Fifty-two candidate genes were identified from the intersection of GRGs, MRGs, and DEGs2. Eight genes-PFKFB4, ADH4, ADH1C, ME1, FOXK1, PFKP, ARL2, and TKTL1-were selected as prognostic genes. ADH4 and ADH1C exhibited significantly higher expression in the low-risk group, whereas the other genes were elevated in the high-risk group. A more accurate risk model and nomogram were developed. Further analyses indicated that the prognostic genes might contribute to HCC progression through pathways such as drug metabolism (cytochrome P450), immune cell infiltration (naive B cells and M2 macrophages), immune escape, and drug sensitivity (e.g., A.770041), potentially influencing cellular interactions and differentiation states of hepatocytes and M2 macrophages. RT-qPCR confirmed that PFKFB4, FOXK1, and TKTL1 were upregulated in HCC, while ADH4 and ADH1C were downregulated. Conclusion: Eight prognostic genes were identified, and a risk model was established, providing valuable insights for clinical prognostic prediction and immunotherapy in HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularGlycolysisLiver NeoplasmsMacrophagesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptomeBiomarkers, Tumorglycolysishepatocellular carcinomaimmune infiltrationM2 macrophageprognostic genessingle-cell RNA sequencing

Identifiers

PMID41766871
PMCPMC12935947

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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 Socratic graph.