Gliomas are one of the most common types of brain cancers. Numerous efforts have been devoted to studying the mechanisms of glioma genesis and identifying biomarkers for diagnosis and treatment. To help further investigations, we present a comprehensive database named GliomaDB. GliomaDB includes 21,086 samples from 4303 patients and integrates genomic, transcriptomic, epigenomic, clinical, and gene-drug association data regarding glioblastoma multiforme (GBM) and low-grade glioma (LGG) from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), the Chinese Glioma Genome Atlas (CGGA), the Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), the US Food and Drug Administration (FDA), and PharmGKB. GliomaDB offers a user-friendly interface for two main types of functionalities. The first comprises queries of (i) somatic mutations, (ii) gene expression, (iii) microRNA (miRNA) expression, and (iv) DNA methylation. In addition, queries can be executed at the gene, region, and base level. Second, GliomaDB allows users to perform survival analysis, coexpression network visualization, multi-omics data visualization, and targeted drug recommendations based on personalized variations. GliomaDB bridges the gap between glioma genomics big data and the delivery of integrated information for end users, thus enabling both researchers and clinicians to effectively use publicly available data and empowering the progression of precision medicine in glioma. GliomaDB is freely accessible at http://bigd.big.ac.cn/gliomaDB.
脑胶质瘤是一种常见的中枢神经系统肿瘤，在临床上具有难治性、高复发性及高致死性的特点。科学家们在研究胶质瘤发生发展机制及用于诊断和治疗的生物标志物方面做出了许多努力。为了进一步帮助研究人员及临床医生，本文建立了一个名为GliomaDB的脑胶质瘤综合数据库。目前，GliomaDB数据库整合了胶质瘤组学信息以及药物信息，数据来自癌症基因组图谱 The Cancer Genome Atlas (TCGA)，美国国立生物技术信息中心NCBI的Gene Expression Omnibus (GEO)，中国胶质瘤基因组图谱 The Chinese Glioma Genome Atlas (CGGA), 纪念斯隆—凯特林癌症中心的 The Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)，美国食品药品监督管理局 The US Food and Drug Administration (FDA) 以及遗传药理学和药物基因组学数据库 PharmGKB。GliomaDB为用户提供了友好的界面，主要包括查询以及分析两个功能。在查询界面，用户可以查询到胶质瘤多组学信息，包括体细胞突变、基因表达、microRNA表达、以及DNA甲基化；在分析界面，用户可以进行个性化基于基因表达的生存分析，基因共表达网络，聚类分析以及针对性的靶向药物指导。GliomaDB数据库在整合胶质瘤多组学数据以及药物信息的同时为研究人员以及临床医生提供了免费公开的数据信息及个性化分析，从而为胶质瘤的早期诊断、精准分期及预后评估等提供了有力的支持。可从https://bigd.big.ac.cn/gliomaDB免费访问GliomaDB。





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