ArticleFrontiers in immunology2022
Predictive value of PIMREG in the prognosis and response to immune checkpoint blockade of glioma patients.
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 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Evaluating a Glioma Transcriptomic Signature Against a Clinical Reference Model and a Random-Signature Null Distribution: A Leakage-Controlled Internal Audit and a Survey of the Field.Diagnostics (Basel, Switzerland) · 2026Article
- Glioma tumor microenvironment and immunotherapy: past, present, and future.Biomarker research · 2025Review
- Oncogenic role and prognostic significance of PIMREG in melanoma.Translational cancer research · 2025Article
- Predictive value of procollagen c-protease enhancer protein on the prognosis of glioma patients.Heliyon · 2024Article
- TGF-β-activated circRYK drives glioblastoma progression by increasing VLDLR mRNA expression and stability in a ceRNA- and RBP-dependent manner.Journal of experimental & clinical cancer research : CR · 2024Article
- CSF3R as a potential prognostic biomarker and immunotherapy target in glioma.Central-European journal of immunology · 2024Article
- Low expression of ACOT13 predicts poor prognosis and immunotherapy outcome in ovarian cancer.American journal of translational research · 2024Article
- APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma.Journal of clinical medicine · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Glioma is the most common primary brain tumor in the human brain. The present study was designed to explore the expression of PIMREG in glioma and its relevance to the clinicopathological features and prognosis of glioma patients. The correlations of PIMREG with the infiltrating levels of immune cells and its relevance to the response to immunotherapy were also investigated. PIMREG expression in glioma was analyzed based on the GEO, TCGA, and HPA databases. Kaplan-Meier survival analysis was used to examine the predictive value of PIMREG for the prognosis of patients with glioma. The correlation between the infiltrating levels of immune cells in glioma and PIMREG was analyzed using the CIBERSORT algorithm and TIMRE database. The correlation between PIMREG and immune checkpoints and its correlation with the patients' responses to immunotherapy were analyzed using R software and the GEPIA dataset. Cell experiments were conducted to verify the action of PIMREG in glioma cell migration and invasion. We found that PIMREG expression was upregulated in gliomas and positively associated with WHO grade. High PIMREG expression was correlated with poor prognosis of LGG, prognosis of all WHO grade gliomas, and prognosis of recurrent gliomas. PIMREG was related to the infiltration of several immune cell types, such as M1 and M2 macrophages, monocytes and CD8+ T cells. Moreover, PIMREG was correlated with immune checkpoints in glioma and correlated with patients' responses to immunotherapy. KEGG pathway enrichment and GO functional analysis illustrated that PIMREG was related to multiple tumor- and immune-related pathways. In conclusion, PIMREG overexpression in gliomas is associated with poor prognosis of patients with glioma and is related to immune cell infiltrates and the responses to immunotherapy.
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