ArticleFrontiers in cell and developmental biology2022
Glycometabolism-related gene signature of hepatocellular carcinoma predicts prognosis and guides immunotherapy.
Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- PANoptosis-related genes in the prognosis and immune landscape of hepatocellular carcinoma.Immunologic research · 2025Article
- Combined Analysis of Transcriptome and Mendelian Randomization RevealsJournal of inflammation research · 2025Article
- Establishment and validation of an immune infiltration predictive model for ovarian cancer.BMC medical genomics · 2023Article
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8 authors.
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Abstract
Hepatocellular carcinoma (HCC) is a severe cancer endangering human health. We constructed a novel glycometabolism-related risk score to predict prognosis and immunotherapy strategies in HCC patients. The HCC data sets were obtained from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, and the glycometabolism-related gene sets were obtained from the Molecular Signature Database. The least absolute contraction and selection operator (LASSO) regression model was used to construct a risk score based on glycometabolism-related genes. A simple visual nomogram model with clinical indicators was constructed and its effectiveness in calibration, accuracy, and clinical value was evaluated. We also explored the correlation between glycometabolism-related risk scores and molecular pathways, immune cells, and functions. Patients in the low-risk group responded better to anti-CTLA-4 immune checkpoint treatment and benefited from immune checkpoint inhibitor (ICI) therapy. The study found that glycometabolism-related risk score can effectively distinguish the prognosis, molecular and immune-related characteristics of HCC patients, and may provide a new strategy for individualized treatment.
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