The gene expression, copy number changes, and mutations in the TCGA data are used to discover and develop new cancer treatments.<p>These (and others) molecular traits differ between gender, race, and age. An over representation of a specific gender or race might affects the effectiveness of the developed therapies towards other gender&#x2F;race combinations.<p>This visualization is meant to show at a glance how these clinical variables are currently distributed in one of the most used and relevant cancer data-sets.<p>The people at The Cancer Genome Atlas did a great job, but much more has to be done to achieve the ambitious goal of Precision Medicine and have therapies personalized to each one genetic makeup.