ArticleFrontiers in immunology2022
Comprehensive Molecular Analyses of a Macrophage-Related Gene Signature With Regard to Prognosis, Immune Features, and Biomarkers for Immunotherapy in Hepatocellular Carcinoma Based on WGCNA and the LASSO Algorithm.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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62 citing papers in PubMed, 77 citations in OpenAlex.
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- Construction and evaluation of a bladder cancer prognosis model based on super-enhancer-associated genes.Discover oncology · 2026Article
- Functional characterization of angiogenesis genes in hepatocellular carcinoma via integrated bulk and single cell RNA sequencing.Scientific reports · 2026Article
- Identification of super-enhancer-based biomarkers for predicting survival and immunotherapy efficacy in colorectal cancer.Journal of Cancer · 2026Article
- Lipopolysaccharide-induced M1-type Macrophages Enhance T Cell Activity and Promote the Apoptosis of Hepatocellular Carcinoma Cells.Current topics in medicinal chemistry · 2026Article
- Integrative Multi-omics Analysis and Mendelian Randomization Reveal Potential Therapeutic Targets and their Stratification in Lung Squamous Cell Carcinoma.Current medicinal chemistry · 2026Article
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- Suppressing CDCA8/CDK1 improves oral squamous cell carcinoma by modulating proliferation, apoptosis, cell cycle and migration.Discover oncology · 2025Article
- Expression landscape of epigenetic genes in human hepatocellular carcinoma.Journal of physiology and biochemistry · 2025Article
- A risk model based on signature genes predicts prognosis and associates with tumor immunity, drug sensitivity in breast cancer.Cancer biomarkers : section A of Disease markers · 2025Article
- Identification of M0 macrophage associated lipid metabolism genes for prognostic and immunotherapeutic response prediction in hepatocellular carcinoma.Discover oncology · 2025Article
- Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks.Biomedicines · 2025Article
- Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma.Scientific reports · 2025Article
- Integrated Multi-Omics Analysis Unveils Distinct Molecular Subtypes and a Robust Immune-Metabolic Prognostic Model in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2025Article
- Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.BMC pregnancy and childbirth · 2025Article
- Research progress on the role of the NEIL family in cancer.Frontiers in cell and developmental biology · 2025Review
- NLR Risk Score for Predicting Patient Prognosis in Hepatocellular Carcinoma and Identification of Oncogenic Role of NLRP5 in Hepatocellular Carcinoma.Oncology research · 2025Article
- Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.Frontiers in bioinformatics · 2025Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Macrophages have been reported to exert a crucial role in hepatocellular carcinoma (HCC). This study aimed to explore the macrophage-related genes and establish a macrophage-related signature (MRS) model to predict the overall survival (OS) of patients with HCC based on these genes' expression. We screened the macrophage-related gene module by weighted gene coexpression network analysis (WGCNA), the least absolute shrinkage and selection operator (LASSO) Cox regression analysis was utilized for further selection, and the selected genes were entered into stepwise regression to develop the MRS model, which was further validated in the Gene Expression Omnibus (GEO) and International Cancer Genome Consortium (ICGC) datasets. We analyzed the biological phenotypes associated with macrophages in terms of functional enrichment, tumor immune signature, and tumor mutational signature. The patient's response to immunotherapy was inferred by the tumor immune dysfunction and exclusion (TIDE) score, the immunophenotype score (IPS), and the IMvigor210 dataset. A novel MRS model was established based on the LASSO regression coefficients of the genes
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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.