SynthesisJournal of molecular neuroscience : MN2013
Screening key genes and pathways in glioma based on gene set enrichment analysis and meta-analysis.
Synthesis in Journal of molecular neuroscience : MN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- PathX-CNN: An Enhanced Explainable Convolutional Neural Network for Survival Prediction and Pathway Analysis in Glioblastoma.bioRxiv : the preprint server for biology · 2025Article
- Article
- Stoichioproteomics reveal oxygen usage bias, key proteins and pathways in glioma.BMC medical genomics · 2019Article
- Gene set enrichment analysis and meta-analysis identified 12 key genes regulating and controlling the prognosis of lung adenocarcinoma.Oncology letters · 2019Article
- A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma.PLoS computational biology · 2017Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is a highly invasive, rapidly spreading form of brain cancer, while its etiology is largely unknown. A few recently reported studies have been developed using gene expression microarrays of glioma to identify differentially expressed genes from several to hundreds. This study was designed to analyze vast amounts of glioma-related microarray data and screen the key genes and pathways related to the development and progression of glioma. We used gene set enrichment analysis (GSEA) and meta-analysis of seven included studies after standardized microarray preprocessing, which increased concordance between these gene datasets. After GSEA, there were 14 mixing pathways including 13 up- and 1 down-regulated pathways. Based on the meta-analysis, 268 significant genes were screened out (P < 0.05); there were 249 genes identified by Kyoto Encyclopedia of Genes and Genomes (KEGG), and 27 KEGG pathways closely related to the set of the imported genes were identified. At last, six consistent pathways and key genes in these pathways related to glioma were obtained with combined GSEA and meta-analysis. The gene pathways that we identified could provide insight concerning the development of glioma. Further studies are needed to determine the biological function for the positive genes.
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Registered trials
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