ArticlePeerJ2019
Engrailed 1 overexpression as a potential prognostic marker in Lower Grade Glioma.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Bioinformatics analysis of BIRC5 in human cancers.Annals of translational medicine · 2022Article
- Identification of a pyroptosis-related prognosis gene signature and its relationship with an immune microenvironment in gliomas.Medicine · 2022Article
- Identification and Validation of a Gene Signature for Lower-Grade Gliomas Based on Pyroptosis-Related Genes to Predict Survival and Response to Immune Checkpoint Inhibitors.Journal of healthcare engineering · 2022Article
- Expression and prognostic potential of GPX1 in human cancers based on data mining.Annals of translational medicine · 2020Article
- The current state of glioma data registries.Neuro-oncology advancesArticle
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Authors and funding
2 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEngrailed 1 (EN1), as a member of homeobox-containing transcription factors, participates in the development of the brain. High expressions of EN1 exist in various tumors. However, the role of EN1 in lower grade glioma (LGG) is still unknown.
methodsCoefficients of Cox regression were examined by data mining among 13 cancer types using OncoLnc to validate EN1 expressions in LGG patients from The Cancer Genome Atlas database (TCGA). Bioinformatic analysis was performed by using R2 and the UCSC Xena browser based on the data from 273 glioma cases in GSE16011 from GEO datasets and 530 cases of LGG patients in TCGA. Cases in GSE16011 were divided into two groups according to IDH1 mutation status. Cases in TCGA-LGG were classified to subtypes according to histopathological results, IDH1 mutation status and 1p19q status. The Kaplan-Meier survival curves were performed to analyze the relationship between EN1 expressions and clinicopathological characteristics and survival time respectively.
resultsCox regression results showed that LGG was ranked statistically first among 13 different cancer types according to the false discovery rate (FDR) correction. Results from GSE16011 showed that: glioma, LGG and LGG with IDH1 mutation patients with high EN1 expressions had significantly shorter 5, 10, and 15-year overall survival time (OS) (
conclusionEN1 can be used as a prognostic marker in LGG patients, combined with IDH1 mutation and 1p19q co-deletion.
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