About this tool
Genetic, epigenetic, and transcriptional patterns that are present in a primary tumor can predict the likelihood of cancer patient relapse and death. This website provides access to a comprehensive analysis of mutations, copy number alterations, methylation, microRNA, mRNA, and protein expression patterns linked with cancer outcome in The Cancer Genome Atlas.
Figures reported here correspond to Z scores calculated from Cox univariate hazards models regressing a gene or genetic feature against patient outcome in the indicated cancer type.
Sample questions this resource can address
Data
Complete tables of survival data for each genomic platform can be downloaded below:
More information about this analysis can be found in: