An Integrative Analysis for Cancer Studies

Numerous genomic and clinical cancer data have been generated and available through The Cancer Genome Atlas (TCGA). However, these datasets are difficult to access and interpret. Most of the existing tools provide resources for exploring, visualizing, and analyzing multidimensional genomics data for all cancer samples. Here we present an integrative pan-cancer analysis of DNA copy number, messenger RNA and microRNA (miRNA) expression, DNA methylation, protein expression and clinical characteristics for studying gene regulation and expression based survival analysis in paired tumor and normal samples. Clinical researchers have a simple way to evaluate the TCGA data for their genes or candidate biomarkers of interest.