ArticleInternational journal of clinical and experimental pathology2020
Overexpression of EP300-interacting inhibitor of differentiation 3 predicts poor prognosis in patients with glioblastoma multiforme.
Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- The Role of HDAC6 in Glioblastoma Multiforme: A New Avenue to Therapeutic Interventions?Biomedicines · 2024Review
- Prognostic significance of CNNM4 in ovarian cancer: a comprehensive bioinformatics analysis.Frontiers in oncology · 2024Article
- Uncover DNA damage and repair-related gene signature and risk score model for glioma.Annals of medicine · 2023Article
- Radiochemotherapy-induced DNA repair promotes the biogenesis of gastric cancer stem cells.Stem cell research & therapy · 2022Article
- Combination chemotherapy versus temozolomide for patients with methylated MGMT (m-MGMT) glioblastoma: results of computational biological modeling to predict the magnitude of treatment benefit.Journal of neuro-oncology · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
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Abstract
EP300-interacting inhibitor of differentiation 3 (EID3) is a member of the IED family and has been associated with tumorigenesis and tumor development in different cancer types. However, the role of EID3 in glioblastoma multiforme (GBM) prognosis is not clear. Whole transcriptome sequencing data of 249 and 149 GBM patients were collected from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) database respectively. The correlation between EID3 expression and overall survival (OS)/clinical pathologic features of GBM patients was investigated. Based on the Wilcoxon rank-sum test, EID3 expression in GBM tissues was significantly lower than in normal brain tissues (P < 0.001), and significantly higher than in LGG (low-grade glioma) (P < 0.001).There was a significant correlation between high EID3 expression with poor OS in CGGA (P = 0.049) and TCGA data (P = 0.024). Gene set enrichment analysis (GSEA) data analysis revealed a significant difference (FDR < 0.25, NOM
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Identifiers
32509069PMC7270700W3032905828What OpenQuestion holds
Registered trials
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.