This personalised or precision medicine approach generates vast volumes of multiple types of genomic and biological data that needs to be interrogated, analysed, and interpreted. This presents us with the unprecedented opportunity to better understand children’s cancers. We focus on developing new methods to more comprehensively analyse and monitor a child’s cancer, and new and advanced computational approaches which identify and prioritise clinically relevant genomic alterations that can be used to alter a child’s treatment in real time. What’s more, by modelling and studying the genetic changes found in the cancer cells, we hope to improve risk prediction, determine how these changes cause and drive a child’s individual cancer, and to identify existing, or develop new, targeted therapies against their cancer.
Our findings don’t just benefit individual cancer patients today, they also contribute to the overall understanding of childhood cancer and improved health outcomes for children in the future, by delivering the right treatment to the right child at the right time.