Public Datasets Analysis

YZ Yuting Zhang
PQ Peifang Qin
XX Xingfeng Xu
ML Mao Li
HH Haitao Huang
JY Jianguo Yan
YZ Yali Zhou
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Tumor Immune Estimation Resource (TIMER) 2.0 is a comprehensive resource for the systematic assessment of diverse cancer types. Using the TCGA database, TIMER 2.0 explores the differential gene expression between tumors and normal tissues, the correlation between gene expression and clinical results, and the analysis of tumor immune infiltration (23). Gene Expression Profiling Interactive Analysis (GEPIA) is a web server based on the visual analysis of the TCGA database (24). It provides several key interactive customization features, such as differential expression analysis, patient survival analysis, and related gene detection, etc. UALCAN is a comprehensive, user-friendly, and interactive web resource for analyzing cancer data (25). LinkedOmics is a platform that can access, analyze and compare cancer multi-omics data within and across tumor types (26). In the current study, the TIMER 2.0 database was used to analyze immune infiltration and the expression profile of MED19 in different types of human cancers. Additionally, using the GEPIA datasets, the survival analysis of MED19 in HCC was evaluated. Using the UALCAN dataset, factors related to MED19 transcription in HCC were investigated. Using the LinkedOmics datasets, genes in HCC that are related to MED19 were assessed and used to draw heat maps. Finally, the relationship between MED19 and several key HCC regulators, including AKT and mTOR was assessed.

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