机构：[1]Clinical College, Jilin University, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021[2]Department of Orthopedics, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021[3]Department of Breast Surgery, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021[4]Department of Oncology, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021[5]Institute of Zoology, China Academy of Science, Beijing 100049[6]Department of Neurosurgery, Cancer Hospital of Sun Yat Sen University, Guangzhou, Guangdong 510060[7]Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041四川大学华西医院[8]Department of Neurosurgery, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021[9]Department of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China
The aim of the present study is to identify novel promising marks and targets of diagnosis, therapy and prognosis for patients with vestibular schwannoma at the molecular level. The gene expression profiles of GSE54934, GSE39645 and GSE56597 datasets were obtained respectively from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified by comparing between gene expression profiles of the vestibular schwannoma tissues and normal tissues. Subsequently, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein-protein interaction (PPI) network analysis were performed. The function and pathway enrichment analysis were performed for DEGs with DAVID. Reverse transcription-quantitative PCR were conducted to confirm the expression of BCL2, AGT, IL6 and ITGA2 in human Schwann cells and vestibular schwannoma cells. A total of 4,025, 1,1291 and 1,513 DEGs were identified from GSE54934, GSE56597 and GSE39645 datasets, respectively. GO and KEGG analysis showed that the mutual upregulated genes were mainly enriched in cell division, mitotic nuclear division, and transition of mitotic cell cycle, whilst mutual downregulated genes were enriched in chemical synaptic transmission, neurotransmitter transport, and synaptic vesicle membrane. Subsequently, 20 genes, including BCL2, AGT, IL6 and ITGA2 were selected as hub genes with high degrees after PPI network analysis. The significant differential expression of those genes were detected among vestibular schwannoma tissues compared with normal nerve tissues. In conclusion, BCL2, AGT, IL6 and ITGA2 are significantly higher expressed in vestibular schwannoma tissues compared with human Schwann tissues. The DEGs identified in the present study provide novel targets for the diagnosis and treatment of vestibular schwannoma.
基金：
National Natural Science Foundationof ChinaNational Natural Science Foundation of China (NSFC) [81672505, 81772684]; S&T Development Planning Program of Jilin Province [20160101086JC, 20160312017ZG, 20180101152JC]; Jilin Provincial Education Department '13th Five-Year' Science and Technology Project [JJKH20180191KJ]; Interdisciplinary Innovation Project of The First Hospital of Jilin University [JDYYJC001]
第一作者机构：[1]Clinical College, Jilin University, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021[2]Department of Orthopedics, The First Bethune Hospital of Jilin University, Changchun, Jilin 130021
通讯作者：
通讯机构：[9]Department of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China[*1]Department of Clinical Laboratory, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, Jilin 130041, P.R. China
推荐引用方式(GB/T 7714)：
Wu Bo,Dou Gaojing,Zhang Yuan,et al.Identification of key pathways and genes in vestibular schwannoma using bioinformatics analysis[J].EXPERIMENTAL AND THERAPEUTIC MEDICINE.2022,23(3):doi:10.3892/etm.2022.11141.
APA：
Wu, Bo,Dou, Gaojing,Zhang, Yuan,Wang, Jing,Wang, Xinhui...&Zhao, Liyan.(2022).Identification of key pathways and genes in vestibular schwannoma using bioinformatics analysis.EXPERIMENTAL AND THERAPEUTIC MEDICINE,23,(3)
MLA：
Wu, Bo,et al."Identification of key pathways and genes in vestibular schwannoma using bioinformatics analysis".EXPERIMENTAL AND THERAPEUTIC MEDICINE 23..3(2022)
