ArticleFrontiers in immunology2023
Construction of a lipid metabolism-related risk model for hepatocellular carcinoma by single cell and machine learning analysis.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Fundamentals and emerging frontiers in p53-targeted drug development.Biochemistry and biophysics reports · 2026Review
- Secretory Lysosome-Related Gene Signature Defines the Immune Microenvironment and Identifies RGS2 as a Prometastatic Factor in Hepatocellular Carcinoma.Human mutation · 2026Article
- Comprehensive molecular characterization of high-stemness gastric cancer cells using single-cell transcriptomics, spatial mapping, and machine learning.NPJ precision oncology · 2025Article
- Development and validation of a pathomics model to predict SOX11 expression and prognosis in hepatocellular carcinoma.Translational cancer research · 2025Article
- Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer.Biomedicines · 2025Article
- Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.International journal of molecular sciences · 2025Review
- Article
- Deciphering Dormant Cells of Lung Adenocarcinoma: Prognostic Insights from O-glycosylation-Related Tumor Dormancy Genes Using Machine Learning.International journal of molecular sciences · 2024Article
- Development and Validation of a Carbohydrate Metabolism-Related Model for Predicting Prognosis and Immune Landscape in Hepatocellular Carcinoma Patients.Current medical science · 2024Article
- Single-cell transcriptome analysis revealed heterogeneity in glycolysis and identified IGF2 as a therapeutic target for ovarian cancer subtypes.BMC cancer · 2024Article
- A novel single-cell model reveals ferroptosis-associated biomarkers for individualized therapy and prognostic prediction in hepatocellular carcinoma.BMC biology · 2024Article
- Unlocking the potential of T-cell metabolism reprogramming: Advancing single-cell approaches for precision immunotherapy in tumour immunity.Clinical and translational medicine · 2024Review
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Authors and funding
6 authors.
Funding
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Abstract
One of the most common cancers is hepatocellular carcinoma (HCC). Numerous studies have shown the relationship between abnormal lipid metabolism-related genes (LMRGs) and malignancies. In most studies, the single LMRG was studied and has limited clinical application value. This study aims to develop a novel LMRG prognostic model for HCC patients and to study its utility for predictive, preventive, and personalized medicine. We used the single-cell RNA sequencing (scRNA-seq) dataset and TCGA dataset of HCC samples and discovered differentially expressed LMRGs between primary and metastatic HCC patients. By using the least absolute selection and shrinkage operator (LASSO) regression machine learning algorithm, we constructed a risk prognosis model with six LMRGs (
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