Dataset Information

Identification of hub genes and small-molecule compounds in medulloblastoma by integrated bioinformatic analyses.

ABSTRACT: Background:Medulloblastoma (MB) is the most common intracranial malignant tumor in children. The genes and pathways involved in the pathogenesis of MB are relatively unknown. We aimed to identify potential biomarkers and small-molecule drugs for MB. Methods:Gene expression profile data sets were obtained from the Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were identified using the Limma package in R. Functional annotation, and cell signaling pathway analysis of DEGs was carried out using DAVID and Kobas. A protein-protein interaction network was generated using STRING. Potential small-molecule drugs were identified using CMap. Result:We identified 104 DEGs (29 upregulated; 75 downregulated). Gene ontology analysis showed enrichment in the mitotic cell cycle, cell cycle, spindle, and DNA binding. Cell signaling pathway analysis identified cell cycle, HIF-1 signaling pathway, and phospholipase D signaling pathway as key pathways. SYN1, CNTN2, FAIM2, MT3, and SH3GL2 were the prominent hub genes and their expression level were verified by RT-qPCR. Vorinostat, resveratrol, trichostatin A, pyrvinium, and prochlorperazine were identified as potential drugs for MB. The five hub genes may be targets for diagnosis and treatment of MB, and the small-molecule compounds are promising drugs for effective treatment of MB. Conclusion:In this study we obtained five hub genes of MB, SYN1, CNTN2, FAIM2, MT3, and SH3GL2 were confirmed as hub genes. Meanwhile, Vorinostat, resveratrol, trichostatin A, pyrvinium, and prochlorperazine were identified as potential drugs for MB.

SUBMITTER: Liu Z

PROVIDER: S-EPMC7164431 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Identification of hub genes and small-molecule compounds in medulloblastoma by integrated bioinformatic analyses.

Liu Zhendong Z Zhang Ruotian R Sun Zhenying Z Yao Jiawei J Yao Penglei P Chen Xin X Wang Xinzhuang X Gao Ming M Wan Jinzhao J Du Yiming Y Zhao Shiguang S

PeerJ 20200414

<h4>Background</h4>Medulloblastoma (MB) is the most common intracranial malignant tumor in children. The genes and pathways involved in the pathogenesis of MB are relatively unknown. We aimed to identify potential biomarkers and small-molecule drugs for MB.<h4>Methods</h4>Gene expression profile data sets were obtained from the Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were identified using the Limma package in R. Functional annotation, and cell signali ...[more]

PMID: 32328342

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Dataset Information

Identification of hub genes and small-molecule compounds in medulloblastoma by integrated bioinformatic analyses.

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Identification of hub genes and small-molecule compounds in medulloblastoma by integrated bioinformatic analyses.

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