Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10895559 | Biochimica et Biophysica Acta (BBA) - Reviews on Cancer | 2015 | 12 Pages |
Abstract
Cancer evolution can be considered within a Darwinian framework. Both micro and macro-evolutionary theories can be applied to understand tumour progression and treatment failure. Owing to cancers' complexity and heterogeneity the rules of tumour evolution, such as the role of selection, remain incompletely understood. The timing of mutational events during tumour evolution presents diagnostic, prognostic and therapeutic opportunities. Here we review the current sampling and computational approaches for inferring mutational timing and the evidence from next generation sequencing-informed data on mutational timing across all tumour types. We discuss how this knowledge can be used to illuminate the genes and pathways that drive cancer initiation and relapse; and to support drug development and clinical trial design.
Keywords
Related Topics
Life Sciences
Biochemistry, Genetics and Molecular Biology
Cancer Research
Authors
Samra Turajlic, Nicholas McGranahan, Charles Swanton,