ArticleJournal of molecular neuroscience : MN2021
Integrated Gene Expression and Methylation Analyses Identify DLL3 as a Biomarker for Prognosis of Malignant Glioma.
Article in Journal of molecular neuroscience : MN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07243470 (A Multicenter, Open-label Phase I/II Trial Aiming to Assess the Safety and Clinical Activity of Tarlatamab in Combination With Metronomic Temozolomide in Adolescents and Adults' Patients With High Grade Brain Tumors), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Multicenter, Open-label Phase I/II Trial Aiming to Assess the Safety and Clinical Activity of Tarlatamab in Combination With Metronomic Temozolomide in Adolescents and Adults' Patients With High Grade Brain Tumors
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses.BMC cancer · 2024Pooled it
- Machine learning-driven identification of DLL3 as a molecular target and development of a DLL3-binding cyclic peptide for glioblastoma.Frontiers in oncology · 2026Article
- Post-Transcriptional Modifications of RNA as Regulators of Apoptosis in Glioblastoma.International journal of molecular sciences · 2022Review
- Recognition of a Novel Gene Signature for Human Glioblastoma.International journal of molecular sciences · 2022Article
- Construction and validation of a risk prediction model for clinical axillary lymph node metastasis in T1-2 breast cancer.Scientific reports · 2022Article
- Relationship between IDH1/2 and TERT promoter mutation and the prognosis of human glioma patients.Pakistan journal of medical sciencesArticle
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is one of the most common neurological malignancies worldwide. Delta-like ligand 3 (DLL3), an inhibitory ligand-driven activation of the Notch pathway, has been shown to be significantly associated with overall survival in patients with glioma. Therefore, the purpose of this study was to determine whether DLL3 as a biomarker in glioma is associated with patients' clinicopathological features and prognosis. We identified differences in transcriptome and promoter methylation in the Chinese Glioma Genome Atlas (CGGA) in patients with malignant glioma with shorter (less than 1 year) and longer (greater than 3 years) survival time. Further analysis of The Cancer Genome Atlas (TCGA) revealed that four genes (DLL3, TSPAN15, RTN1, PAK7) are highly associated with patient prognosis and play an indispensable role in evolution. We chose the expression level of DLL3 in glioma patients for our study. Patients were divided into groups with low and high expression of DLL3 according to the cutoff values obtained, and Kaplan-Meier and Cox analysis were used to examine the correlation between DLL3 gene expression and patient survival. We then performed a gene set enrichment analysis (GSEA) to identify significantly enriched signaling pathways. Our results confirmed that the overall survival of patients with low DLL3 expression was significantly shorter than that of patients with high DLL3 expression. GSEA showed that the signaling pathways of the immune process and immune response, among others, were enhanced with the DLL3 low-expression phenotype. Collectively, our findings signify that DLL3 is a potent prognostic factor for glioma, which can provide a viable approach for glioma prognostic assessment and valuable insights for anti-tumor immune-targeted therapies.
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