Over the past two decades, elucidation of the genetic defects that underlie cancer has
resulted in a plethora of novel targeted cancer drugs. Although these agents can initially be …

Somatic mutations in cancer cells can generate tumour-specific neoepitopes, which are
recognized by autologous T cells in the host. As neoepitopes are not subject to central …

Abstract Ensembl (https://www. ensembl. org) has produced high-quality genomic resources
for vertebrates and model organisms for more than twenty years. During that time, our …

Enhanced glycolysis and accumulation of lactate is a common feature in various types of
cancer. Intracellular lactate drives a recently described type of posttranslational modification …

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Understanding the genetic and nongenetic determinants of tumor protein 53 (TP53)-
mutation-driven clonal evolution and subsequent transformation is a crucial step toward the …

High-throughput methods to investigate tumour omic landscapes have quickly catapulted
cancer specialists into the precision oncology era. The singular lesson of precision oncology …

Whole-genome sequencing (WGS) permits comprehensive cancer genome analyses,
revealing mutational signatures, imprints of DNA damage, and repair processes that have …

Although p53 inactivation promotes genomic instability and presents a route to malignancy
for more than half of all human cancers,, the patterns through which heterogenous TP53 …

The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …