ArticleOncology letters2021
Development of a prognostic model of glioma based on immune-related genes.
Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 24 citations in OpenAlex.
- Review
- Identification of the key immune and inflammatory related gene CALCRL as diagnostic biomarker in differentiating uterine leiomyosarcoma from leiomyoma.Frontiers in cell and developmental biology · 2026Article
- PathX-CNN: An Enhanced Explainable Convolutional Neural Network for Survival Prediction and Pathway Analysis in Glioblastoma.bioRxiv : the preprint server for biology · 2025Article
- Germinal center trajectories and transcriptional signatures define CLL subtypes and their pathway regulators.PloS one · 2025Article
- Elucidating Cancer Subtypes by Using the Relationship between DNA Methylation and Gene Expression.Genes · 2024Article
- Identification of Novel Molecular and Clinical Biomarkers of Survival in Glioblastoma Multiforme Patients: A Study Based on The Cancer Genome Atlas Data.BioMed research international · 2024Article
- Spatial transcriptomics analysis identifies therapeutic targets in diffuse high-grade gliomas.Frontiers in molecular neuroscience · 2024Article
- HOXD9 is a potential prognostic biomarker involved in immune microenvironment of glioma.Journal of cancer research and clinical oncology · 2023Article
- PDGFB:APOBEC3C fusion in congenital diffuse high-grade glioma of the brainstem.Journal of neuropathology and experimental neurology · 2023Article
- IL7 and IL7 Flt3L co-expressing CAR T cells improve therapeutic efficacy in mouse EGFRvIII heterogeneous glioblastoma.Frontiers in immunology · 2023Article
- Identification of heterogeneous subtypes and a prognostic model for gliomas based on mitochondrial dysfunction and oxidative stress-related genes.Frontiers in immunology · 2023Article
- Identification of a pyroptosis-related prognosis gene signature and its relationship with an immune microenvironment in gliomas.Medicine · 2022Article
- A novel necroptosis-related gene signature for predict prognosis of glioma based on single-cell and bulk RNA sequencing.Frontiers in molecular biosciences · 2022Article
- Systematic analysis of potential targets of the curcumin analog pentagamavunon-1 (PGV-1) in overcoming resistance of glioblastoma cells to bevacizumab.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021Article
- Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes.BMC bioinformatics · 2021Article
- Comprehensive Analysis of the Prognostic Values of the TRIM Family in Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma.Computational and mathematical methods in medicine · 2021Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is the most common type of primary brain cancer, and the prognosis of most patients with glioma, and particularly that of patients with glioblastoma, is poor. Tumor immunity serves an important role in the development of glioma. However, immunotherapy for glioma has not been completely successful, and thus, comprehensive examination of the immune-related genes (IRGs) of glioma is required. In the present study, differentially expressed genes (DEGs) and differentially expressed IRGs (DEIRGs) were identified using the edgeR package. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was used for functional enrichment analysis of DEIRGs. Survival-associated IRGs were selected via univariate Cox regression analysis. A The Cancer Genome Atlas prognostic model and GSE43378 validation model were established using lasso-penalized Cox regression analysis. Based on the median risk score value, patients were divided into high-risk and low-risk groups for clinical analysis. Receiver operating characteristic curve and nomogram analyses were used to assess the accuracy of the models. Reverse transcription-quantitative PCR was performed to measure the expression levels of relevant genes, such as cyclin-dependent kinase 4 (CDK4), interleukin 24 (IL24), NADPH oxidase 4 (NOX4), bone morphogenetic protein 2 (BMP2) and baculoviral IAP repeat containing 5 (BIRC5). A total of 3,238 DEGs, including 1,950 upregulated and 1,288 downregulated DEGs, and 97 DEIRGs, including 60 upregulated and 37 downregulated DEIRGs, were identified. 'Neuroactive ligand-receptor interaction' and 'Cytokine-cytokine receptor interaction' were the most significantly enriched pathways according to KEGG pathway analysis. A prognostic model and a validation prognostic model were created for glioma, including 15 survival-associated IRGs (FCER1G, NOX4, TRIM5, SOCS1, APOBEC3C, BIRC5, VIM, TNC, BMP2, CMTM3, IL24, JAG1, CALCRL, HNF4G and CDK4). Furthermore, multivariate Cox regression analysis results suggested that age, high WHO Grade by histopathology, wild type isocitrate dehydrogenase 1 and high risk score were independently associated with poor overall survival. The infiltration of B cells, CD8
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