ArticleJCI insight2019
RNA processing genes characterize RNA splicing and further stratify lower-grade glioma.
Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 29 citations in OpenAlex.
- A Bioinformatics Analysis on the Subtypes of Hepatocellular Carcinoma Related to RNA Processing Genes to Reveal Prognosis and Immune Microenvironment Features.Digestive diseases and sciences · 2025Article
- Expressions of the satellite repeat HSAT5 and transposable elements are implicated in disease progression and survival in glioma.Turkish journal of biology = Turk biyoloji dergisi · 2024Article
- O-GlcNAcylation of YTHDF2 promotes HBV-related hepatocellular carcinoma progression in an NSignal transduction and targeted therapy · 2023Article
- HNRNPU promotes the progression of triple-negative breast cancer via RNA transcription and alternative splicing mechanisms.Cell death & disease · 2022Article
- Clinical management and survival outcomes of patients with different molecular subtypes of diffuse gliomas in China (2011-2017): a multicenter retrospective study from CGGA.Cancer biology & medicine · 2022Article
- RNA 5-Methylcytosine Regulators Contribute to Metabolism Heterogeneity and Predict Prognosis in Ovarian Cancer.Frontiers in cell and developmental biology · 2022Article
- A comprehensive model including preoperative peripheral blood inflammatory markers for prediction of the prognosis of diffuse spinal cord astrocytoma following surgery.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021Article
- YTHDF2 facilitates UBXN1 mRNA decay by recognizing METTL3-mediated mJournal of hematology & oncology · 2021Article
- Review
- Identification of a Prognostic Signature Model with Tumor Microenvironment for predicting Disease-free Survival after Radical Prostatectomy.Journal of Cancer · 2021Article
- Development of a nomogram for prognostic prediction of lower-grade glioma based on alternative splicing signatures.Cancer medicine · 2020Article
- Clinicopathological characteristics and survival of spinal cord astrocytomas.Cancer medicine · 2020Article
- Prognostic and predictive value of an immune infiltration signature in diffuse lower-grade gliomas.JCI insight · 2020Article
- The molecular characteristics of spinal cord gliomas with or without H3 K27M mutation.Acta neuropathologica communications · 2020Article
- Long Non-Coding RNA PART1 Exerts Tumor Suppressive Functions in Glioma via Sponging miR-190a-3p and Inactivation of PTEN/AKT Pathway.OncoTargets and therapy · 2020Article
- Gene Expression Profiling Stratifies IDH-Wildtype Glioblastoma With Distinct Prognoses.Frontiers in oncology · 2019Article
- Tumor mutational burden predicts survival in patients with low-grade gliomas expressing mutated IDH1.Neuro-oncology advancesArticle
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAberrant expression of RNA processing genes may drive the alterative RNA profile in lower-grade gliomas (LGGs). Thus, we aimed to further stratify LGGs based on the expression of RNA processing genes.
methodsThis study included 446 LGGs from The Cancer Genome Atlas (TCGA, training set) and 171 LGGs from the Chinese Glioma Genome Atlas (CGGA, validation set). The least absolute shrinkage and selection operator (LASSO) Cox regression algorithm was conducted to develop a risk-signature. The receiver operating characteristic (ROC) curves and Kaplan-Meier curves were used to study the prognosis value of the risk-signature.
resultsAmong the tested 784 RNA processing genes, 276 were significantly correlated with the OS of LGGs. Further LASSO Cox regression identified a 19-gene risk-signature, whose risk score was also an independently prognosis factor (P<0.0001, multiplex Cox regression) in the validation dataset. The signature had better prognostic value than the traditional factors "age", "grade" and "WHO 2016 classification" for 3- and 5-year survival both two datasets (AUCs > 85%). Importantly, the risk-signature could further stratify the survival of LGGs in specific subgroups of WHO 2016 classification. Furthermore, alternative splicing events for genes such as EGFR and FGFR were found to be associated with the risk score. mRNA expression levels for genes, which participated in cell proliferation and other processes, were significantly correlated to the risk score.
conclusionsOur results highlight the role of RNA processing genes for further stratifying the survival of patients with LGGs and provide insight into the alternative splicing events underlying this role.
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