This interactive visualization lets you explore how different groups of patients are represented in the The Cancer Genome Atlas (TCGA) dataset. The analysis can be performed at two different levels of magnification: within a single cancer type (cohort), or across the entire dataset.
The composition of patients plays a major role in the results of any study, especially in Precision Medicine, where medical treatments are tailored to the individual characteristics of each patient. In the past years, under-representation of certain groups in cancer studies has been frequently under the scrutiny of the medical community (e.g. this article) and of the broader public (e.g. these articles on BBC and Bloomberg)