ArticleFrontiers in immunology2021
The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine Learning.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 48 citations in OpenAlex.
- Monocyte-hitchhiking system for the targeted delivery of paclitaxel-loaded PLGA nanoparticles to glioblastoma in mice.Journal of nanobiotechnology · 2026Article
- Innate Immune Signaling in Gliomas: Regulatory Mechanisms and Targeting Potential in Tumor Progression.Life (Basel, Switzerland) · 2025Review
- Baseline and changes in inflammatory parameters for patients with EGFR-mutated NSCLC treated with afatinib.Thoracic cancer · 2025Article
- Integrating Machine Learning and Mendelian Randomization Determined a Functional Neurotrophin-Related Gene Signature in Patients with Lower-Grade Glioma.Molecular biotechnology · 2024Article
- Development of a prognostic model related to homologous recombination deficiency in glioma based on multiple machine learning.Frontiers in immunology · 2024Article
- Pan-Cancer Analysis of GALNT6 with Potential Implications for Prognosis and Tumor Microenvironment in Human Cancer Based on Bioinformatics and qPCR Verification.International journal of general medicine · 2024Article
- Article
- PPP1R81 correlates with the survival and cell proliferation in lower-grade glioma.Bioscience reports · 2023Article
- JMJD8 Is an M2 Macrophage Biomarker, and It Associates With DNA Damage Repair to Facilitate Stemness Maintenance, Chemoresistance, and Immunosuppression in Pan-Cancer.Frontiers in immunology · 2022Article
- Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients.Frontiers in immunology · 2022Article
- Applications of machine learning in tumor-associated macrophages.Frontiers in immunology · 2022Review
- H2B gene family: A prognostic biomarker and correlates with immune infiltration in glioma.Frontiers in oncology · 2022Article
- Pyroptosis-Related LncRNA Signature Predicts Prognosis and Is Associated With Immune Infiltration in Hepatocellular Carcinoma.Frontiers in oncology · 2022Article
- Antigen Presentation Machinery Signature-Derived CALR Mediates Migration, Polarization of Macrophages in Glioma and Predicts Immunotherapy Response.Frontiers in immunology · 2022Article
- Highly expressed of SERPINA3 indicated poor prognosis and involved in immune suppression in glioma.Immunity, inflammation and disease · 2021Article
- A comprehensive prognostic signature for glioblastoma patients based on transcriptomics and single cell sequencing.Cellular oncology (Dordrecht, Netherlands) · 2021Article
- Current Understanding of Exosomal MicroRNAs in Glioma Immune Regulation and Therapeutic Responses.Frontiers in immunology · 2021Review
- Immune Characteristics of LYN in Tumor Microenvironment of Gliomas.Frontiers in cell and developmental biology · 2021Article
- Identification of Nephrogenic Therapeutic Biomarkers of Wilms Tumor Using Machine Learning.Journal of oncology · 2021Article
- Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme.BioMed research international · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas are primary malignant brain tumors. Monocytes have been proved to actively participate in tumor growth. Weighted gene co-expression network analysis was used to identify meaningful monocyte-related genes for clustering. Neural network and SVM were applied for validating clustering results. Somatic mutation and copy number variation were used for defining the features of identified clusters. Differentially expressed genes (DEGs) between the stratified groups after performing elastic regression and principal component analyses were used for the construction of risk scores. Monocytes were associated with glioma patients' survival and exhibited high predictive value. The prognostic value of risk score in glioma was validated by the abundant expression of immune checkpoint and metabolic profile. Additionally, high risk score was positively associated with the expression of immunogenic and antigen presenting factors, which indicated high immune infiltration. A prognostic model based on risk score demonstrated high accuracy rate of receiver operating characteristic curves. Compared with previous studies, our research dissected functional roles of monocytes from large-scale analysis. Findings of our analyses strongly support an immune modulatory and prognostic role of monocytes in glioma progression. Notably, monocyte could be an effective predictor for therapy responses of glioma patients.
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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.