ArticleFrontiers in immunology2023
Construction and validation of a cuproptosis-related prognostic model for glioblastoma.
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 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Limitations of nomogram models in predicting survival outcomes for glioma patients.Frontiers in immunology · 2025Pooled it
- Effects of copper overload on mitochondrial parameters in GBM-1, U-87 MG, and C6 glioma cell lines.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Harnessing copper-iron crosstalk: A novel strategy to combat hepatocellular carcinoma.Medical oncology (Northwood, London, England) · 2026Review
- Targeting Copper in Cancer: Chelators to Counteract Cuproplasia and Ionophores to Promote Cuproptosis.Journal of medicinal chemistry · 2026Review
- Article
- Construction and validation of risk prediction model for glioblastoma associated with cancer stem cells and disulfidptosis.Translational cancer research · 2026Article
- Cuproptosis in inflammation and cancer: molecular mechanisms and therapeutic targets.Molecular cancer · 2026Review
- [Construction of a prognosis forecasting model for breast cancer based on lipid metabolism-related genes and functional verification ofZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026Article
- A Novel MPT-Driven Necrosis-Related lncRNA Signature for Prognostic Prediction in Hepatocellular Carcinoma: Validation Using Organoids.Cancer medicine · 2026Article
- Significance of the association between hypoxia and pyroptosis-related genes in the prognostic prediction of glioblastoma: insights from model construction and validation.Translational cancer research · 2025Article
- Identification of key biomarkers and immune microenvironment features in gliomas based on single-cell analysis combined with bioinformatics.Discover oncology · 2025Article
- SDF2 promotes glioma progression via GRP78‑mediated ERAD and copper homeostasis disruption.International journal of molecular medicine · 2025Article
- Epigenetic modification of cuproptosis by non-coding RNAs in cancer drug resistance.Molecular cancer · 2025Review
- Identification of Key Genes Related to Both Lipid Metabolism Disorders and Inflammation in MAFLD.Biomedicines · 2025Article
- APM-Related gene signature model to predict prognosis and immunotherapy response in hepatocellular carcinoma.Human genetics · 2025Article
- Developing and validating a prognostic disulfidptosis-related signature for glioblastoma: predicting radioresistance and synergestic effect with immunotherapy.Journal of cancer research and clinical oncology · 2025Article
- Identification of Prognostic Genes Related to Cell Senescence and Lipid Metabolism in Glioblastoma Based on Transcriptome and Single-Cell RNA-Seq Data.International journal of molecular sciences · 2025Article
- Regulation of Glycolysis by SMAD5 in Glioma Cells: Implications for Tumor Growth and Apoptosis.Neurochemical research · 2025Article
- Decoding the heterogeneous subpopulations of glioblastoma for prognostic stratification and uncovering the promalignant role of PSMC2.Scientific reports · 2025Article
- Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme.Discover oncology · 2025Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cuproptosis, a newly reported type of programmed cell death, takes part in the regulation of tumor progression, treatment response, and prognosis. But the specific effect of cuproptosis-related genes (CRGs) on glioblastoma (GBM) is still unclear. Methods: The transcriptome data and corresponding clinical data of GBM samples were downloaded from the TCGA and GEO databases. R software and R packages were used to perform statistical analysis, consensus cluster analysis, survival analysis, Cox regression analysis, Lasso regression analysis, and tumor microenvironment analysis. The mRNA and protein expression levels of model-related genes were detected by RT-qPCR and Western blot assays, respectively. Results: The expression profile of CRGs in 209 GBM samples from two separate datasets was obtained. Two cuproptosis subtypes, CRGcluster A and CRGcluster B, were identified by consensus cluster analysis. There were apparent differences in prognosis, tumor microenvironment, and immune checkpoint expression levels between the two subtypes, and there were 79 prognostic differentially expressed genes (DEGs). According to the prognostic DEGs, two gene subtypes, geneCluster A and geneCluster B, were identified, and a prognostic risk score model was constructed and validated. This model consists of five prognostic DEGs, including PDIA4, DUSP6, PTPRN, PILRB, and CBLN1. Ultimately, to improve the applicability of the model, a nomogram was established. Patients with GBM in the low-risk cluster have a higher mutation burden and predict a longer OS than in the high-risk group. Moreover, the risk score was related to drug sensitivity and negatively correlated with the CSC index. Conclusion: We successfully constructed a cuproptosis-related prognostic model, which can independently predict the prognosis of GBM patients. These results further complement the understanding of cuproptosis and provide new theoretical support for developing a more effective treatment strategy.
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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.