Title:Identification of Glioma Specific Genes as Diagnostic and Prognostic Markers for Glioma
Volume: 16
Issue: 1
Author(s): Ming Tu, Ling Ye, ShaoBo Hu, Wei Wang, Penglei Zhu, XiangHe Lu and WeiMing Zheng*
Affiliation:
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang,China
Keywords:
Glioma, glioma specific gene, biomarker, prediction, protein-protein interaction, prognosis.
Abstract:
Background: Malignant gliomas are the most prevalent malignancy of the brain.
However, there was still lack of sensitive and accurate biomarkers for gliomas.
Objective: To explore the mechanisms underlying glioma progression and identify novel
diagnostic and prognostic markers for glioma.
Methods: By analyzing TCGA dataset, whole-genome genes expression levels were evaluated in
19 different types of human cancers. A protein-protein interacting network was constructed to
reveal the potential roles of these glioma special genes. KEGG and GO analysis revealed the
potential effect of these genes.
Results: We identified 698 gliomas specially expressed genes by analyzing TCGA dataset. A
protein-protein interacting network was constructed to reveal the potential roles of these glioma
special genes. KEGG and GO analysis showed gliomas specially expressed genes were involved in
regulating neuroactive ligand-receptor interaction, retrograde endocannabinoid signaling,
Glutamatergic synapse, chemical synaptic transmission, nervous system development, central
nervous system development, and learning. Of note, GRIA1, GNAO1, GRIN1, CACNA1A,
CAMK2A, and SYP were identified to be down-regulated and associated with poor prognosis in
gliomas.
Conclusion: GRIA1, GNAO1, GRIN1, CACNA1A, CAMK2A, and SYP were identified to be
down-regulated and associated with poor prognosis in gliomas. We thought this study will provide
novel biomarkers for gliomas.
