ArticleFrontiers in molecular biosciences2022
A cuproptosis-related lncRNAs signature for prognosis, chemotherapy, and immune checkpoint blockade therapy of low-grade glioma.
Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- A Cuproptosis-Related lncRNA Signature Predicts Prognosis and Shapes the Immune Landscape in Primary Lower-Grade Glioma.Genetics research · 2025Article
- Machine learning predicts cuproptosis-related lncRNAs and survival in glioma patients.Scientific reports · 2024Article
- Machine learning predicts cuproptosis-related lncRNAs and survival in glioma patients.Scientific reports · 2024Article
- Article
- Cuproptosis: mechanisms and links with cancers.Molecular cancer · 2023Review
- A novel signature of cuproptosis-related lncRNAs predicts prognosis in glioma: Evidence from bioinformatic analysis and experiments.Frontiers in pharmacology · 2023Article
- Construction and validation of a cuproptosis-related prognostic model for glioblastoma.Frontiers in immunology · 2023Article
- Article
- A novel prognostic signature of cuproptosis-related genes and the prognostic value of FDX1 in gliomas.Frontiers in genetics · 2022Article
- Development and validation of a cuproptosis-associated prognostic model for diffuse large B-cell lymphoma.Frontiers in oncology · 2022Article
- Cuproptosis-related gene signature stratifies lower-grade glioma patients and predicts immune characteristics.Frontiers in genetics · 2022Article
- Prognosis and immune features of pyroptosis-related RNA patterns in low-grade glioma.Frontiers in oncology · 2022Article
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11 authors.
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Abstract
Cuproptosis is a new type of cell death that is associated with mitochondrial respiration of the tricarboxylic acid cycle. Previous studies showed that long non-coding RNAs (lncRNAs) regulated low-grade glioma (LGG) progression. However, the potential applications of cuproptosis-related lncRNAs (CRLs) in LGG were not explored. A comprehensive analysis was performed in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) cohorts. We first screened two distinct cuproptosis subtypes based on prognostic CRLs using consensus clustering. To facilitate individualized survival prediction in LGG, we constructed a prognostic signature (including CRNDE, HAR1A, and FAM181A-AS1) in the TCGA dataset. The prognostic signature exhibited excellent predictive ability and reliability, which was validated in the CGGA_325 and CGGA_693 datasets. Notably, patients in the high-risk group had increased immune cell infiltration and expression of immune checkpoints, which indicated that they may benefit more from immune checkpoint blockade (ICB) therapy. Finally, the prognostic signature screened the population with sensitivity to chemotherapy and ICB therapy. In summary, this study initially explored the mechanism of CRLs in LGG and provides some insights into chemotherapy and ICB therapy of LGG.
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