Description: The purpose of this analysis is to explore relationships between candidate cellular miRNA expression and various calculated characteristics related to the tumor immune landscape in Epstein-Barr virus (EBV) positive, microsatellite-unstable/instability (MSI), chromosomal instability (CIN), genomically stable (GS), and mutant polymerase epsilon (POLE) tumors in the TCGA gastric carcinoma (GC) cohort. Select the candidate cellular miRNAs by typing the name in the input box on the top right. Select the immune function/factor to analyze by selecting the desired option in the adjacent dropdown. Generated figures can be resized via dragging the right or bottom figure edges, or via the grey triangle in the bottom right edge of the figure. Correlation plots can be downloaded as PNG or PDF files and the information necessary to reproduce the box and scatter plots can be downloaded as a CSV file. Level 3 miRNA expression data from the TCGA GC cohort was downloaded from the Broad Genome Data Analysis Center’s Firehose server Link . Immune landscape data was extracted from Thorsson et al, Immunity 2018 DOI: 10.1016/j.immuni.2018.03.023
Immune Landscape Features: A master list of all 53 immune landscape features, put together according to Thorsson et al, Immunity 2018 DOI: 10.1016/j.immuni.2018.03.023 can be found here .
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Citing EBV-GCR: Salnikov MY, Wang E, Christensen E, Prusinkiewicz MA, Shooshtari P, Mymryk JS. The EBV Gastric Cancer Resource (EBV-GCR): A Suite of Tools for Investigating EBV-Associated Human Gastric Carcinogenesis. Viruses. 2023 Mar 27;15(4):853.