Identification of ITPR1 as a Hub Gene of Group 3 Medulloblastoma and Coregulated Genes with Potential Prognostic Values

小桶 基因 生物 计算生物学 髓母细胞瘤 生物信息学 基因表达 遗传学 转录组
作者
Pablo Ferreira das Chagas,Graziella Ribeiro de Sousa,Luciana Chain Veronez,Andrea Martins-da-Silva,Carolina Alves Pereira Corrêa,Gustavo Alencastro Veiga Cruzeiro,Luís Fernando Peinado Nagano,Rosane Gomes de Paula Queiróz,Suely Kazue Nagahashi Marie,Sílvia Regina Brandalise,Carlos Alberto Scrideli,Luíz Gonzaga Tone,Elvis Terci Valera
出处
期刊:Journal of Molecular Neuroscience [Springer Nature]
卷期号:72 (3): 633-641 被引量:7
标识
DOI:10.1007/s12031-021-01942-3
摘要

The Group 3 Medulloblastoma (Grp3-MB) is an aggressive molecular subtype with a high incidence of metastasis and deaths. In this study, were used an RNA sequencing data (RNA-Seq) from a Brazilian cohort of MBs to identify hub genes associated with the metastatic risk. Data validation were performed by using multiple large datasets from MBs (GSE85217, GSE37418, and EGAS00001001953). DESeq2 package in R software was used to identify the differentially expressed genes (DEGs) in our RNA-Seq data. The DEGs data were accessed to construct the modules/graphs of co-expression and to identify hub genes through Cytoscape platform. The coregulated genes were enriched by the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and the protein-protein interaction (PPI) network was visualized by Cytoscape. The Kaplan-Meier plotter and ROC curves were used to validate the diagnostic and prognostic values of specific biomarkers identified through this model. We identified that inositol 1,4,5-trisphosphate receptor type 1 (ITPR1) as a downregulated hub gene, with a high diagnostic accuracy to Grp3-MBs and associated with tumor metastasis. In addition, we identified genes significantly correlated with ITPR1 that were associated with metastasis in Grp3-MB (ATP1A2, MTTL7A, and RGL1) and worst overall survival in MBs (ANTXR1 and RGL1). Our findings suggest that the ITPR1 hub gene is potentially involved in the metastatic process for Grp3-MB. Our data also provide evidence of targets that may serve as prognostic predictors and/or regulators for the metastatic process that maybe explored for further research of individualized therapy to Grp3-MBs.
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