ArticleAmerican journal of translational research2022
Prognostic role of NLGN2 and PTGDS in medulloblastoma based on gene expression omnibus.
Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Targeting PTGDS Promotes ferroptosis in peripheral T cell lymphoma through regulating HMOX1-mediated iron metabolism.British journal of cancer · 2025Article
- Comprehensive analysis of immune-related genes for classification and immune microenvironment of asthma.American journal of translational research · 2023Article
- Transcriptome analysis of childhood Guillain-Barré syndrome associated with supportive care.Frontiers in pediatrics · 2022Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMedulloblastoma (MB) is the most common intracranial malignant tumour in children, but genes and pathways involved in its pathogenesis are still under investigation. This study was designed to screen and identify biomarkers of MB to provide markers for clinical diagnosis and prognosis assessment.
methodsThe data sets of GSE109401 and GSE42656 were acquired from Gene expression omnibus (GEO). Limma package in R was adopted to identify the differentially expressed genes (DEGs), and the GSE30074 data set was adopted to analyse their prognostic role. Children with MB (n=55) diagnosed in Affiliated Ezhou Central Hospital were enrolled and assigned to the patient group, and healthy children (n=30) who received physical examination in our hospital during the same time period were assigned to the control group. The two groups were compared in serum NLGN2 and PTGDS levels, and all patients were followed up for three years to understand the associations of Neuroligin 2 (NLGN2) and Prostaglandin D2 synthase (PTGDS) with the survival of patients.
resultsWith Limma, 247 DEGs were screened out. The LASSO-Cox regression analysis revealed that 6 genes were associated with MB prognosis, and the established model revealed a lower survival rate in the high-risk group. According to Cox regression analysis, NLGN2 and PTGDS may be independent prognostic factors of MB. Similar to the data sets, the Real time-quantitative polymerase chain reaction (RT-qPCR) assay revealed lowly-expressed NLGN2 and PTGDS levels in MB patients, and patients with lower expression of them showed a lower 3-year survival rate.
conclusionWith low expression in MB cases, NLGN2 and PTGDS have high prognostic value for MB.
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Identifiers
35836891PMC9274574W4285614678What OpenQuestion holds
Registered trials
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