ArticleCellular and molecular neurobiology2022
A 1p/19q Codeletion-Associated Immune Signature for Predicting Lower Grade Glioma Prognosis.
Article in Cellular and molecular neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 32 citations in OpenAlex.
- Expression and clinical significance of RBBP4 gene in lower-grade glioma: An integrative analysis.Biochemistry and biophysics reports · 2023Article
- Implications of CRNDE in prognosis, tumor immunity, and therapeutic sensitivity in low grade glioma patients.Cancer cell international · 2023Article
- Comprehensive analysis of the role of ICOS ( CD278 ) in pan-cancer prognosis and immunotherapy.BMC cancer · 2023Article
- Identification of a cellular senescence-related-lncRNA (SRlncRNA) signature to predict the overall survival of glioma patients and the tumor immune microenvironment.Frontiers in genetics · 2023Article
- Comprehensive analysis of epigenetics regulation, prognostic and the correlation with immune infiltrates of GPX7 in adult gliomas.Scientific reports · 2022Article
- Update in TIGIT Immune-Checkpoint Role in Cancer.Frontiers in oncology · 2022Review
- The Role of m5C-Related lncRNAs in Predicting Overall Prognosis and Regulating the Lower Grade Glioma Microenvironment.Frontiers in oncology · 2022Article
- A pan-cancer analysis revealing the role of TIGIT in tumor microenvironment.Scientific reports · 2021Article
- Six Immune Associated Genes Construct Prognostic Model Evaluate Low-Grade Glioma.Frontiers in immunology · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Lower grade gliomas (LGGs) with codeletion of chromosomal arms 1p and 19q (1p/19 codeletion) have a favorable outcome. However, its overall survival (OS) varies. Here, we established an immune signature associated with 1p/19q codeletion for accurate prediction of prognosis of LGGs. The Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) databases with RNA sequencing and corresponding clinical data were dichotomized into training group and testing group. The immune-related differentially expressed genes (DEGs) associated with 1p/19q codeletion were screened using Cox proportional hazards regression analyses. A prognostic signature was established using dataset from CGGA and tested in TCGA database. Subsequently, we explored the correlation between the prognostic signature and immune response. Thirteen immune genes associated with 1p/19q codeletion were used to construct a prognostic signature. The 1-, 3-, 5-year survival rates of the low-risk group were approximately 97%, 89%, and 79%, while those of the high-risk group were 81%, 50% and 34%, respectively, in the training group. The nomogram which comprised age, WHO grade, primary or recurrent types, 1p/19q codeletion status and risk score provided accurate prediction for the survival rate of glioma. DEGs that were highly expressed in the high-risk group clustered with many immune-related pathways. Immune checkpoints including TIM3, PD1, PDL1, CTLA4, TIGIT, MIR155HG, and CD48 were correlated with the risk score. VAV3 and TNFRFSF11B were found to be candidate immune checkpoints associated with prognosis. The 1p/19q codeletion-associated immune signature provides accurate prediction of OS. VAV3 and TNFRFSF11B are novel immune checkpoints.
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