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

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